bodyshop/client/src/graphql/schema.graphql

schema {
  query: query_root
  mutation: mutation_root
  subscription: subscription_root
}

# columns and relationships of "allocations"
type allocations {
  created_at: timestamptz!

  # An object relationship
  employee: employees!
  employeeid: uuid!
  hours: numeric!
  id: uuid!

  # An object relationship
  jobline: joblines!
  joblineid: uuid!
  updated_at: timestamptz!
}

# aggregated selection of "allocations"
type allocations_aggregate {
  aggregate: allocations_aggregate_fields
  nodes: [allocations!]!
}

# aggregate fields of "allocations"
type allocations_aggregate_fields {
  avg: allocations_avg_fields
  count(columns: [allocations_select_column!], distinct: Boolean): Int
  max: allocations_max_fields
  min: allocations_min_fields
  stddev: allocations_stddev_fields
  stddev_pop: allocations_stddev_pop_fields
  stddev_samp: allocations_stddev_samp_fields
  sum: allocations_sum_fields
  var_pop: allocations_var_pop_fields
  var_samp: allocations_var_samp_fields
  variance: allocations_variance_fields
}

# order by aggregate values of table "allocations"
input allocations_aggregate_order_by {
  avg: allocations_avg_order_by
  count: order_by
  max: allocations_max_order_by
  min: allocations_min_order_by
  stddev: allocations_stddev_order_by
  stddev_pop: allocations_stddev_pop_order_by
  stddev_samp: allocations_stddev_samp_order_by
  sum: allocations_sum_order_by
  var_pop: allocations_var_pop_order_by
  var_samp: allocations_var_samp_order_by
  variance: allocations_variance_order_by
}

# input type for inserting array relation for remote table "allocations"
input allocations_arr_rel_insert_input {
  data: [allocations_insert_input!]!
  on_conflict: allocations_on_conflict
}

# aggregate avg on columns
type allocations_avg_fields {
  hours: Float
}

# order by avg() on columns of table "allocations"
input allocations_avg_order_by {
  hours: order_by
}

# Boolean expression to filter rows from the table "allocations". All fields are combined with a logical 'AND'.
input allocations_bool_exp {
  _and: [allocations_bool_exp]
  _not: allocations_bool_exp
  _or: [allocations_bool_exp]
  created_at: timestamptz_comparison_exp
  employee: employees_bool_exp
  employeeid: uuid_comparison_exp
  hours: numeric_comparison_exp
  id: uuid_comparison_exp
  jobline: joblines_bool_exp
  joblineid: uuid_comparison_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "allocations"
enum allocations_constraint {
  # unique or primary key constraint
  allocations_pkey
}

# input type for incrementing integer column in table "allocations"
input allocations_inc_input {
  hours: numeric
}

# input type for inserting data into table "allocations"
input allocations_insert_input {
  created_at: timestamptz
  employee: employees_obj_rel_insert_input
  employeeid: uuid
  hours: numeric
  id: uuid
  jobline: joblines_obj_rel_insert_input
  joblineid: uuid
  updated_at: timestamptz
}

# aggregate max on columns
type allocations_max_fields {
  created_at: timestamptz
  employeeid: uuid
  hours: numeric
  id: uuid
  joblineid: uuid
  updated_at: timestamptz
}

# order by max() on columns of table "allocations"
input allocations_max_order_by {
  created_at: order_by
  employeeid: order_by
  hours: order_by
  id: order_by
  joblineid: order_by
  updated_at: order_by
}

# aggregate min on columns
type allocations_min_fields {
  created_at: timestamptz
  employeeid: uuid
  hours: numeric
  id: uuid
  joblineid: uuid
  updated_at: timestamptz
}

# order by min() on columns of table "allocations"
input allocations_min_order_by {
  created_at: order_by
  employeeid: order_by
  hours: order_by
  id: order_by
  joblineid: order_by
  updated_at: order_by
}

# response of any mutation on the table "allocations"
type allocations_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [allocations!]!
}

# input type for inserting object relation for remote table "allocations"
input allocations_obj_rel_insert_input {
  data: allocations_insert_input!
  on_conflict: allocations_on_conflict
}

# on conflict condition type for table "allocations"
input allocations_on_conflict {
  constraint: allocations_constraint!
  update_columns: [allocations_update_column!]!
  where: allocations_bool_exp
}

# ordering options when selecting data from "allocations"
input allocations_order_by {
  created_at: order_by
  employee: employees_order_by
  employeeid: order_by
  hours: order_by
  id: order_by
  jobline: joblines_order_by
  joblineid: order_by
  updated_at: order_by
}

# primary key columns input for table: "allocations"
input allocations_pk_columns_input {
  id: uuid!
}

# select columns of table "allocations"
enum allocations_select_column {
  # column name
  created_at

  # column name
  employeeid

  # column name
  hours

  # column name
  id

  # column name
  joblineid

  # column name
  updated_at
}

# input type for updating data in table "allocations"
input allocations_set_input {
  created_at: timestamptz
  employeeid: uuid
  hours: numeric
  id: uuid
  joblineid: uuid
  updated_at: timestamptz
}

# aggregate stddev on columns
type allocations_stddev_fields {
  hours: Float
}

# order by stddev() on columns of table "allocations"
input allocations_stddev_order_by {
  hours: order_by
}

# aggregate stddev_pop on columns
type allocations_stddev_pop_fields {
  hours: Float
}

# order by stddev_pop() on columns of table "allocations"
input allocations_stddev_pop_order_by {
  hours: order_by
}

# aggregate stddev_samp on columns
type allocations_stddev_samp_fields {
  hours: Float
}

# order by stddev_samp() on columns of table "allocations"
input allocations_stddev_samp_order_by {
  hours: order_by
}

# aggregate sum on columns
type allocations_sum_fields {
  hours: numeric
}

# order by sum() on columns of table "allocations"
input allocations_sum_order_by {
  hours: order_by
}

# update columns of table "allocations"
enum allocations_update_column {
  # column name
  created_at

  # column name
  employeeid

  # column name
  hours

  # column name
  id

  # column name
  joblineid

  # column name
  updated_at
}

# aggregate var_pop on columns
type allocations_var_pop_fields {
  hours: Float
}

# order by var_pop() on columns of table "allocations"
input allocations_var_pop_order_by {
  hours: order_by
}

# aggregate var_samp on columns
type allocations_var_samp_fields {
  hours: Float
}

# order by var_samp() on columns of table "allocations"
input allocations_var_samp_order_by {
  hours: order_by
}

# aggregate variance on columns
type allocations_variance_fields {
  hours: Float
}

# order by variance() on columns of table "allocations"
input allocations_variance_order_by {
  hours: order_by
}

# columns and relationships of "appointments"
type appointments {
  arrived: Boolean!
  block: Boolean!

  # An object relationship
  bodyshop: bodyshops!
  bodyshopid: uuid!
  canceled: Boolean!
  created_at: timestamptz!
  end: timestamptz!
  id: uuid!
  isintake: Boolean!

  # An object relationship
  job: jobs
  jobid: uuid
  start: timestamptz!
  title: String
  updated_at: timestamptz!
}

# aggregated selection of "appointments"
type appointments_aggregate {
  aggregate: appointments_aggregate_fields
  nodes: [appointments!]!
}

# aggregate fields of "appointments"
type appointments_aggregate_fields {
  count(columns: [appointments_select_column!], distinct: Boolean): Int
  max: appointments_max_fields
  min: appointments_min_fields
}

# order by aggregate values of table "appointments"
input appointments_aggregate_order_by {
  count: order_by
  max: appointments_max_order_by
  min: appointments_min_order_by
}

# input type for inserting array relation for remote table "appointments"
input appointments_arr_rel_insert_input {
  data: [appointments_insert_input!]!
  on_conflict: appointments_on_conflict
}

# Boolean expression to filter rows from the table "appointments". All fields are combined with a logical 'AND'.
input appointments_bool_exp {
  _and: [appointments_bool_exp]
  _not: appointments_bool_exp
  _or: [appointments_bool_exp]
  arrived: Boolean_comparison_exp
  block: Boolean_comparison_exp
  bodyshop: bodyshops_bool_exp
  bodyshopid: uuid_comparison_exp
  canceled: Boolean_comparison_exp
  created_at: timestamptz_comparison_exp
  end: timestamptz_comparison_exp
  id: uuid_comparison_exp
  isintake: Boolean_comparison_exp
  job: jobs_bool_exp
  jobid: uuid_comparison_exp
  start: timestamptz_comparison_exp
  title: String_comparison_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "appointments"
enum appointments_constraint {
  # unique or primary key constraint
  appointments_pkey
}

# input type for inserting data into table "appointments"
input appointments_insert_input {
  arrived: Boolean
  block: Boolean
  bodyshop: bodyshops_obj_rel_insert_input
  bodyshopid: uuid
  canceled: Boolean
  created_at: timestamptz
  end: timestamptz
  id: uuid
  isintake: Boolean
  job: jobs_obj_rel_insert_input
  jobid: uuid
  start: timestamptz
  title: String
  updated_at: timestamptz
}

# aggregate max on columns
type appointments_max_fields {
  bodyshopid: uuid
  created_at: timestamptz
  end: timestamptz
  id: uuid
  jobid: uuid
  start: timestamptz
  title: String
  updated_at: timestamptz
}

# order by max() on columns of table "appointments"
input appointments_max_order_by {
  bodyshopid: order_by
  created_at: order_by
  end: order_by
  id: order_by
  jobid: order_by
  start: order_by
  title: order_by
  updated_at: order_by
}

# aggregate min on columns
type appointments_min_fields {
  bodyshopid: uuid
  created_at: timestamptz
  end: timestamptz
  id: uuid
  jobid: uuid
  start: timestamptz
  title: String
  updated_at: timestamptz
}

# order by min() on columns of table "appointments"
input appointments_min_order_by {
  bodyshopid: order_by
  created_at: order_by
  end: order_by
  id: order_by
  jobid: order_by
  start: order_by
  title: order_by
  updated_at: order_by
}

# response of any mutation on the table "appointments"
type appointments_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [appointments!]!
}

# input type for inserting object relation for remote table "appointments"
input appointments_obj_rel_insert_input {
  data: appointments_insert_input!
  on_conflict: appointments_on_conflict
}

# on conflict condition type for table "appointments"
input appointments_on_conflict {
  constraint: appointments_constraint!
  update_columns: [appointments_update_column!]!
  where: appointments_bool_exp
}

# ordering options when selecting data from "appointments"
input appointments_order_by {
  arrived: order_by
  block: order_by
  bodyshop: bodyshops_order_by
  bodyshopid: order_by
  canceled: order_by
  created_at: order_by
  end: order_by
  id: order_by
  isintake: order_by
  job: jobs_order_by
  jobid: order_by
  start: order_by
  title: order_by
  updated_at: order_by
}

# primary key columns input for table: "appointments"
input appointments_pk_columns_input {
  id: uuid!
}

# select columns of table "appointments"
enum appointments_select_column {
  # column name
  arrived

  # column name
  block

  # column name
  bodyshopid

  # column name
  canceled

  # column name
  created_at

  # column name
  end

  # column name
  id

  # column name
  isintake

  # column name
  jobid

  # column name
  start

  # column name
  title

  # column name
  updated_at
}

# input type for updating data in table "appointments"
input appointments_set_input {
  arrived: Boolean
  block: Boolean
  bodyshopid: uuid
  canceled: Boolean
  created_at: timestamptz
  end: timestamptz
  id: uuid
  isintake: Boolean
  jobid: uuid
  start: timestamptz
  title: String
  updated_at: timestamptz
}

# update columns of table "appointments"
enum appointments_update_column {
  # column name
  arrived

  # column name
  block

  # column name
  bodyshopid

  # column name
  canceled

  # column name
  created_at

  # column name
  end

  # column name
  id

  # column name
  isintake

  # column name
  jobid

  # column name
  start

  # column name
  title

  # column name
  updated_at
}

# columns and relationships of "associations"
type associations {
  active: Boolean!
  authlevel: Int!

  # An object relationship
  bodyshop: bodyshops!
  id: uuid!
  shopid: uuid!

  # An object relationship
  user: users!
  useremail: String!
}

# aggregated selection of "associations"
type associations_aggregate {
  aggregate: associations_aggregate_fields
  nodes: [associations!]!
}

# aggregate fields of "associations"
type associations_aggregate_fields {
  avg: associations_avg_fields
  count(columns: [associations_select_column!], distinct: Boolean): Int
  max: associations_max_fields
  min: associations_min_fields
  stddev: associations_stddev_fields
  stddev_pop: associations_stddev_pop_fields
  stddev_samp: associations_stddev_samp_fields
  sum: associations_sum_fields
  var_pop: associations_var_pop_fields
  var_samp: associations_var_samp_fields
  variance: associations_variance_fields
}

# order by aggregate values of table "associations"
input associations_aggregate_order_by {
  avg: associations_avg_order_by
  count: order_by
  max: associations_max_order_by
  min: associations_min_order_by
  stddev: associations_stddev_order_by
  stddev_pop: associations_stddev_pop_order_by
  stddev_samp: associations_stddev_samp_order_by
  sum: associations_sum_order_by
  var_pop: associations_var_pop_order_by
  var_samp: associations_var_samp_order_by
  variance: associations_variance_order_by
}

# input type for inserting array relation for remote table "associations"
input associations_arr_rel_insert_input {
  data: [associations_insert_input!]!
  on_conflict: associations_on_conflict
}

# aggregate avg on columns
type associations_avg_fields {
  authlevel: Float
}

# order by avg() on columns of table "associations"
input associations_avg_order_by {
  authlevel: order_by
}

# Boolean expression to filter rows from the table "associations". All fields are combined with a logical 'AND'.
input associations_bool_exp {
  _and: [associations_bool_exp]
  _not: associations_bool_exp
  _or: [associations_bool_exp]
  active: Boolean_comparison_exp
  authlevel: Int_comparison_exp
  bodyshop: bodyshops_bool_exp
  id: uuid_comparison_exp
  shopid: uuid_comparison_exp
  user: users_bool_exp
  useremail: String_comparison_exp
}

# unique or primary key constraints on table "associations"
enum associations_constraint {
  # unique or primary key constraint
  associations_pkey
}

# input type for incrementing integer column in table "associations"
input associations_inc_input {
  authlevel: Int
}

# input type for inserting data into table "associations"
input associations_insert_input {
  active: Boolean
  authlevel: Int
  bodyshop: bodyshops_obj_rel_insert_input
  id: uuid
  shopid: uuid
  user: users_obj_rel_insert_input
  useremail: String
}

# aggregate max on columns
type associations_max_fields {
  authlevel: Int
  id: uuid
  shopid: uuid
  useremail: String
}

# order by max() on columns of table "associations"
input associations_max_order_by {
  authlevel: order_by
  id: order_by
  shopid: order_by
  useremail: order_by
}

# aggregate min on columns
type associations_min_fields {
  authlevel: Int
  id: uuid
  shopid: uuid
  useremail: String
}

# order by min() on columns of table "associations"
input associations_min_order_by {
  authlevel: order_by
  id: order_by
  shopid: order_by
  useremail: order_by
}

# response of any mutation on the table "associations"
type associations_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [associations!]!
}

# input type for inserting object relation for remote table "associations"
input associations_obj_rel_insert_input {
  data: associations_insert_input!
  on_conflict: associations_on_conflict
}

# on conflict condition type for table "associations"
input associations_on_conflict {
  constraint: associations_constraint!
  update_columns: [associations_update_column!]!
  where: associations_bool_exp
}

# ordering options when selecting data from "associations"
input associations_order_by {
  active: order_by
  authlevel: order_by
  bodyshop: bodyshops_order_by
  id: order_by
  shopid: order_by
  user: users_order_by
  useremail: order_by
}

# primary key columns input for table: "associations"
input associations_pk_columns_input {
  id: uuid!
}

# select columns of table "associations"
enum associations_select_column {
  # column name
  active

  # column name
  authlevel

  # column name
  id

  # column name
  shopid

  # column name
  useremail
}

# input type for updating data in table "associations"
input associations_set_input {
  active: Boolean
  authlevel: Int
  id: uuid
  shopid: uuid
  useremail: String
}

# aggregate stddev on columns
type associations_stddev_fields {
  authlevel: Float
}

# order by stddev() on columns of table "associations"
input associations_stddev_order_by {
  authlevel: order_by
}

# aggregate stddev_pop on columns
type associations_stddev_pop_fields {
  authlevel: Float
}

# order by stddev_pop() on columns of table "associations"
input associations_stddev_pop_order_by {
  authlevel: order_by
}

# aggregate stddev_samp on columns
type associations_stddev_samp_fields {
  authlevel: Float
}

# order by stddev_samp() on columns of table "associations"
input associations_stddev_samp_order_by {
  authlevel: order_by
}

# aggregate sum on columns
type associations_sum_fields {
  authlevel: Int
}

# order by sum() on columns of table "associations"
input associations_sum_order_by {
  authlevel: order_by
}

# update columns of table "associations"
enum associations_update_column {
  # column name
  active

  # column name
  authlevel

  # column name
  id

  # column name
  shopid

  # column name
  useremail
}

# aggregate var_pop on columns
type associations_var_pop_fields {
  authlevel: Float
}

# order by var_pop() on columns of table "associations"
input associations_var_pop_order_by {
  authlevel: order_by
}

# aggregate var_samp on columns
type associations_var_samp_fields {
  authlevel: Float
}

# order by var_samp() on columns of table "associations"
input associations_var_samp_order_by {
  authlevel: order_by
}

# aggregate variance on columns
type associations_variance_fields {
  authlevel: Float
}

# order by variance() on columns of table "associations"
input associations_variance_order_by {
  authlevel: order_by
}

# columns and relationships of "audit_trail"
type audit_trail {
  # An object relationship
  bodyshop: bodyshops
  bodyshopid: uuid
  created: timestamp
  id: Int!
  new_val(
    # JSON select path
    path: String
  ): json
  old_val(
    # JSON select path
    path: String
  ): json
  operation: String
  recordid: uuid
  schemaname: String
  tabname: String

  # An object relationship
  user: users
  useremail: String
}

# aggregated selection of "audit_trail"
type audit_trail_aggregate {
  aggregate: audit_trail_aggregate_fields
  nodes: [audit_trail!]!
}

# aggregate fields of "audit_trail"
type audit_trail_aggregate_fields {
  avg: audit_trail_avg_fields
  count(columns: [audit_trail_select_column!], distinct: Boolean): Int
  max: audit_trail_max_fields
  min: audit_trail_min_fields
  stddev: audit_trail_stddev_fields
  stddev_pop: audit_trail_stddev_pop_fields
  stddev_samp: audit_trail_stddev_samp_fields
  sum: audit_trail_sum_fields
  var_pop: audit_trail_var_pop_fields
  var_samp: audit_trail_var_samp_fields
  variance: audit_trail_variance_fields
}

# order by aggregate values of table "audit_trail"
input audit_trail_aggregate_order_by {
  avg: audit_trail_avg_order_by
  count: order_by
  max: audit_trail_max_order_by
  min: audit_trail_min_order_by
  stddev: audit_trail_stddev_order_by
  stddev_pop: audit_trail_stddev_pop_order_by
  stddev_samp: audit_trail_stddev_samp_order_by
  sum: audit_trail_sum_order_by
  var_pop: audit_trail_var_pop_order_by
  var_samp: audit_trail_var_samp_order_by
  variance: audit_trail_variance_order_by
}

# input type for inserting array relation for remote table "audit_trail"
input audit_trail_arr_rel_insert_input {
  data: [audit_trail_insert_input!]!
  on_conflict: audit_trail_on_conflict
}

# aggregate avg on columns
type audit_trail_avg_fields {
  id: Float
}

# order by avg() on columns of table "audit_trail"
input audit_trail_avg_order_by {
  id: order_by
}

# Boolean expression to filter rows from the table "audit_trail". All fields are combined with a logical 'AND'.
input audit_trail_bool_exp {
  _and: [audit_trail_bool_exp]
  _not: audit_trail_bool_exp
  _or: [audit_trail_bool_exp]
  bodyshop: bodyshops_bool_exp
  bodyshopid: uuid_comparison_exp
  created: timestamp_comparison_exp
  id: Int_comparison_exp
  new_val: json_comparison_exp
  old_val: json_comparison_exp
  operation: String_comparison_exp
  recordid: uuid_comparison_exp
  schemaname: String_comparison_exp
  tabname: String_comparison_exp
  user: users_bool_exp
  useremail: String_comparison_exp
}

# unique or primary key constraints on table "audit_trail"
enum audit_trail_constraint {
  # unique or primary key constraint
  audit_trail_pkey
}

# input type for incrementing integer column in table "audit_trail"
input audit_trail_inc_input {
  id: Int
}

# input type for inserting data into table "audit_trail"
input audit_trail_insert_input {
  bodyshop: bodyshops_obj_rel_insert_input
  bodyshopid: uuid
  created: timestamp
  id: Int
  new_val: json
  old_val: json
  operation: String
  recordid: uuid
  schemaname: String
  tabname: String
  user: users_obj_rel_insert_input
  useremail: String
}

# aggregate max on columns
type audit_trail_max_fields {
  bodyshopid: uuid
  created: timestamp
  id: Int
  operation: String
  recordid: uuid
  schemaname: String
  tabname: String
  useremail: String
}

# order by max() on columns of table "audit_trail"
input audit_trail_max_order_by {
  bodyshopid: order_by
  created: order_by
  id: order_by
  operation: order_by
  recordid: order_by
  schemaname: order_by
  tabname: order_by
  useremail: order_by
}

# aggregate min on columns
type audit_trail_min_fields {
  bodyshopid: uuid
  created: timestamp
  id: Int
  operation: String
  recordid: uuid
  schemaname: String
  tabname: String
  useremail: String
}

# order by min() on columns of table "audit_trail"
input audit_trail_min_order_by {
  bodyshopid: order_by
  created: order_by
  id: order_by
  operation: order_by
  recordid: order_by
  schemaname: order_by
  tabname: order_by
  useremail: order_by
}

# response of any mutation on the table "audit_trail"
type audit_trail_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [audit_trail!]!
}

# input type for inserting object relation for remote table "audit_trail"
input audit_trail_obj_rel_insert_input {
  data: audit_trail_insert_input!
  on_conflict: audit_trail_on_conflict
}

# on conflict condition type for table "audit_trail"
input audit_trail_on_conflict {
  constraint: audit_trail_constraint!
  update_columns: [audit_trail_update_column!]!
  where: audit_trail_bool_exp
}

# ordering options when selecting data from "audit_trail"
input audit_trail_order_by {
  bodyshop: bodyshops_order_by
  bodyshopid: order_by
  created: order_by
  id: order_by
  new_val: order_by
  old_val: order_by
  operation: order_by
  recordid: order_by
  schemaname: order_by
  tabname: order_by
  user: users_order_by
  useremail: order_by
}

# primary key columns input for table: "audit_trail"
input audit_trail_pk_columns_input {
  id: Int!
}

# select columns of table "audit_trail"
enum audit_trail_select_column {
  # column name
  bodyshopid

  # column name
  created

  # column name
  id

  # column name
  new_val

  # column name
  old_val

  # column name
  operation

  # column name
  recordid

  # column name
  schemaname

  # column name
  tabname

  # column name
  useremail
}

# input type for updating data in table "audit_trail"
input audit_trail_set_input {
  bodyshopid: uuid
  created: timestamp
  id: Int
  new_val: json
  old_val: json
  operation: String
  recordid: uuid
  schemaname: String
  tabname: String
  useremail: String
}

# aggregate stddev on columns
type audit_trail_stddev_fields {
  id: Float
}

# order by stddev() on columns of table "audit_trail"
input audit_trail_stddev_order_by {
  id: order_by
}

# aggregate stddev_pop on columns
type audit_trail_stddev_pop_fields {
  id: Float
}

# order by stddev_pop() on columns of table "audit_trail"
input audit_trail_stddev_pop_order_by {
  id: order_by
}

# aggregate stddev_samp on columns
type audit_trail_stddev_samp_fields {
  id: Float
}

# order by stddev_samp() on columns of table "audit_trail"
input audit_trail_stddev_samp_order_by {
  id: order_by
}

# aggregate sum on columns
type audit_trail_sum_fields {
  id: Int
}

# order by sum() on columns of table "audit_trail"
input audit_trail_sum_order_by {
  id: order_by
}

# update columns of table "audit_trail"
enum audit_trail_update_column {
  # column name
  bodyshopid

  # column name
  created

  # column name
  id

  # column name
  new_val

  # column name
  old_val

  # column name
  operation

  # column name
  recordid

  # column name
  schemaname

  # column name
  tabname

  # column name
  useremail
}

# aggregate var_pop on columns
type audit_trail_var_pop_fields {
  id: Float
}

# order by var_pop() on columns of table "audit_trail"
input audit_trail_var_pop_order_by {
  id: order_by
}

# aggregate var_samp on columns
type audit_trail_var_samp_fields {
  id: Float
}

# order by var_samp() on columns of table "audit_trail"
input audit_trail_var_samp_order_by {
  id: order_by
}

# aggregate variance on columns
type audit_trail_variance_fields {
  id: Float
}

# order by variance() on columns of table "audit_trail"
input audit_trail_variance_order_by {
  id: order_by
}

# columns and relationships of "available_jobs"
type available_jobs {
  # An object relationship
  bodyshop: bodyshops!
  bodyshopid: uuid!
  cieca_id: String!
  clm_amt: numeric
  clm_no: String
  created_at: timestamptz!
  est_data(
    # JSON select path
    path: String
  ): jsonb!
  id: uuid!
  issupplement: Boolean!

  # An object relationship
  job: jobs
  jobid: uuid
  ownr_name: String
  source_system: String
  supplement_number: Int
  updated_at: timestamptz!
  uploaded_by: String!
  vehicle_info: String
}

# aggregated selection of "available_jobs"
type available_jobs_aggregate {
  aggregate: available_jobs_aggregate_fields
  nodes: [available_jobs!]!
}

# aggregate fields of "available_jobs"
type available_jobs_aggregate_fields {
  avg: available_jobs_avg_fields
  count(columns: [available_jobs_select_column!], distinct: Boolean): Int
  max: available_jobs_max_fields
  min: available_jobs_min_fields
  stddev: available_jobs_stddev_fields
  stddev_pop: available_jobs_stddev_pop_fields
  stddev_samp: available_jobs_stddev_samp_fields
  sum: available_jobs_sum_fields
  var_pop: available_jobs_var_pop_fields
  var_samp: available_jobs_var_samp_fields
  variance: available_jobs_variance_fields
}

# order by aggregate values of table "available_jobs"
input available_jobs_aggregate_order_by {
  avg: available_jobs_avg_order_by
  count: order_by
  max: available_jobs_max_order_by
  min: available_jobs_min_order_by
  stddev: available_jobs_stddev_order_by
  stddev_pop: available_jobs_stddev_pop_order_by
  stddev_samp: available_jobs_stddev_samp_order_by
  sum: available_jobs_sum_order_by
  var_pop: available_jobs_var_pop_order_by
  var_samp: available_jobs_var_samp_order_by
  variance: available_jobs_variance_order_by
}

# append existing jsonb value of filtered columns with new jsonb value
input available_jobs_append_input {
  est_data: jsonb
}

# input type for inserting array relation for remote table "available_jobs"
input available_jobs_arr_rel_insert_input {
  data: [available_jobs_insert_input!]!
  on_conflict: available_jobs_on_conflict
}

# aggregate avg on columns
type available_jobs_avg_fields {
  clm_amt: Float
  supplement_number: Float
}

# order by avg() on columns of table "available_jobs"
input available_jobs_avg_order_by {
  clm_amt: order_by
  supplement_number: order_by
}

# Boolean expression to filter rows from the table "available_jobs". All fields are combined with a logical 'AND'.
input available_jobs_bool_exp {
  _and: [available_jobs_bool_exp]
  _not: available_jobs_bool_exp
  _or: [available_jobs_bool_exp]
  bodyshop: bodyshops_bool_exp
  bodyshopid: uuid_comparison_exp
  cieca_id: String_comparison_exp
  clm_amt: numeric_comparison_exp
  clm_no: String_comparison_exp
  created_at: timestamptz_comparison_exp
  est_data: jsonb_comparison_exp
  id: uuid_comparison_exp
  issupplement: Boolean_comparison_exp
  job: jobs_bool_exp
  jobid: uuid_comparison_exp
  ownr_name: String_comparison_exp
  source_system: String_comparison_exp
  supplement_number: Int_comparison_exp
  updated_at: timestamptz_comparison_exp
  uploaded_by: String_comparison_exp
  vehicle_info: String_comparison_exp
}

# unique or primary key constraints on table "available_jobs"
enum available_jobs_constraint {
  # unique or primary key constraint
  available_jobs_clm_no_bodyshopid_key

  # unique or primary key constraint
  available_jobs_pkey
}

# delete the field or element with specified path (for JSON arrays, negative integers count from the end)
input available_jobs_delete_at_path_input {
  est_data: [String]
}

# delete the array element with specified index (negative integers count from the
# end). throws an error if top level container is not an array
input available_jobs_delete_elem_input {
  est_data: Int
}

# delete key/value pair or string element. key/value pairs are matched based on their key value
input available_jobs_delete_key_input {
  est_data: String
}

# input type for incrementing integer column in table "available_jobs"
input available_jobs_inc_input {
  clm_amt: numeric
  supplement_number: Int
}

# input type for inserting data into table "available_jobs"
input available_jobs_insert_input {
  bodyshop: bodyshops_obj_rel_insert_input
  bodyshopid: uuid
  cieca_id: String
  clm_amt: numeric
  clm_no: String
  created_at: timestamptz
  est_data: jsonb
  id: uuid
  issupplement: Boolean
  job: jobs_obj_rel_insert_input
  jobid: uuid
  ownr_name: String
  source_system: String
  supplement_number: Int
  updated_at: timestamptz
  uploaded_by: String
  vehicle_info: String
}

# aggregate max on columns
type available_jobs_max_fields {
  bodyshopid: uuid
  cieca_id: String
  clm_amt: numeric
  clm_no: String
  created_at: timestamptz
  id: uuid
  jobid: uuid
  ownr_name: String
  source_system: String
  supplement_number: Int
  updated_at: timestamptz
  uploaded_by: String
  vehicle_info: String
}

# order by max() on columns of table "available_jobs"
input available_jobs_max_order_by {
  bodyshopid: order_by
  cieca_id: order_by
  clm_amt: order_by
  clm_no: order_by
  created_at: order_by
  id: order_by
  jobid: order_by
  ownr_name: order_by
  source_system: order_by
  supplement_number: order_by
  updated_at: order_by
  uploaded_by: order_by
  vehicle_info: order_by
}

# aggregate min on columns
type available_jobs_min_fields {
  bodyshopid: uuid
  cieca_id: String
  clm_amt: numeric
  clm_no: String
  created_at: timestamptz
  id: uuid
  jobid: uuid
  ownr_name: String
  source_system: String
  supplement_number: Int
  updated_at: timestamptz
  uploaded_by: String
  vehicle_info: String
}

# order by min() on columns of table "available_jobs"
input available_jobs_min_order_by {
  bodyshopid: order_by
  cieca_id: order_by
  clm_amt: order_by
  clm_no: order_by
  created_at: order_by
  id: order_by
  jobid: order_by
  ownr_name: order_by
  source_system: order_by
  supplement_number: order_by
  updated_at: order_by
  uploaded_by: order_by
  vehicle_info: order_by
}

# response of any mutation on the table "available_jobs"
type available_jobs_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [available_jobs!]!
}

# input type for inserting object relation for remote table "available_jobs"
input available_jobs_obj_rel_insert_input {
  data: available_jobs_insert_input!
  on_conflict: available_jobs_on_conflict
}

# on conflict condition type for table "available_jobs"
input available_jobs_on_conflict {
  constraint: available_jobs_constraint!
  update_columns: [available_jobs_update_column!]!
  where: available_jobs_bool_exp
}

# ordering options when selecting data from "available_jobs"
input available_jobs_order_by {
  bodyshop: bodyshops_order_by
  bodyshopid: order_by
  cieca_id: order_by
  clm_amt: order_by
  clm_no: order_by
  created_at: order_by
  est_data: order_by
  id: order_by
  issupplement: order_by
  job: jobs_order_by
  jobid: order_by
  ownr_name: order_by
  source_system: order_by
  supplement_number: order_by
  updated_at: order_by
  uploaded_by: order_by
  vehicle_info: order_by
}

# primary key columns input for table: "available_jobs"
input available_jobs_pk_columns_input {
  id: uuid!
}

# prepend existing jsonb value of filtered columns with new jsonb value
input available_jobs_prepend_input {
  est_data: jsonb
}

# select columns of table "available_jobs"
enum available_jobs_select_column {
  # column name
  bodyshopid

  # column name
  cieca_id

  # column name
  clm_amt

  # column name
  clm_no

  # column name
  created_at

  # column name
  est_data

  # column name
  id

  # column name
  issupplement

  # column name
  jobid

  # column name
  ownr_name

  # column name
  source_system

  # column name
  supplement_number

  # column name
  updated_at

  # column name
  uploaded_by

  # column name
  vehicle_info
}

# input type for updating data in table "available_jobs"
input available_jobs_set_input {
  bodyshopid: uuid
  cieca_id: String
  clm_amt: numeric
  clm_no: String
  created_at: timestamptz
  est_data: jsonb
  id: uuid
  issupplement: Boolean
  jobid: uuid
  ownr_name: String
  source_system: String
  supplement_number: Int
  updated_at: timestamptz
  uploaded_by: String
  vehicle_info: String
}

# aggregate stddev on columns
type available_jobs_stddev_fields {
  clm_amt: Float
  supplement_number: Float
}

# order by stddev() on columns of table "available_jobs"
input available_jobs_stddev_order_by {
  clm_amt: order_by
  supplement_number: order_by
}

# aggregate stddev_pop on columns
type available_jobs_stddev_pop_fields {
  clm_amt: Float
  supplement_number: Float
}

# order by stddev_pop() on columns of table "available_jobs"
input available_jobs_stddev_pop_order_by {
  clm_amt: order_by
  supplement_number: order_by
}

# aggregate stddev_samp on columns
type available_jobs_stddev_samp_fields {
  clm_amt: Float
  supplement_number: Float
}

# order by stddev_samp() on columns of table "available_jobs"
input available_jobs_stddev_samp_order_by {
  clm_amt: order_by
  supplement_number: order_by
}

# aggregate sum on columns
type available_jobs_sum_fields {
  clm_amt: numeric
  supplement_number: Int
}

# order by sum() on columns of table "available_jobs"
input available_jobs_sum_order_by {
  clm_amt: order_by
  supplement_number: order_by
}

# update columns of table "available_jobs"
enum available_jobs_update_column {
  # column name
  bodyshopid

  # column name
  cieca_id

  # column name
  clm_amt

  # column name
  clm_no

  # column name
  created_at

  # column name
  est_data

  # column name
  id

  # column name
  issupplement

  # column name
  jobid

  # column name
  ownr_name

  # column name
  source_system

  # column name
  supplement_number

  # column name
  updated_at

  # column name
  uploaded_by

  # column name
  vehicle_info
}

# aggregate var_pop on columns
type available_jobs_var_pop_fields {
  clm_amt: Float
  supplement_number: Float
}

# order by var_pop() on columns of table "available_jobs"
input available_jobs_var_pop_order_by {
  clm_amt: order_by
  supplement_number: order_by
}

# aggregate var_samp on columns
type available_jobs_var_samp_fields {
  clm_amt: Float
  supplement_number: Float
}

# order by var_samp() on columns of table "available_jobs"
input available_jobs_var_samp_order_by {
  clm_amt: order_by
  supplement_number: order_by
}

# aggregate variance on columns
type available_jobs_variance_fields {
  clm_amt: Float
  supplement_number: Float
}

# order by variance() on columns of table "available_jobs"
input available_jobs_variance_order_by {
  clm_amt: order_by
  supplement_number: order_by
}

scalar bigint

# expression to compare columns of type bigint. All fields are combined with logical 'AND'.
input bigint_comparison_exp {
  _eq: bigint
  _gt: bigint
  _gte: bigint
  _in: [bigint!]
  _is_null: Boolean
  _lt: bigint
  _lte: bigint
  _neq: bigint
  _nin: [bigint!]
}

# columns and relationships of "bodyshops"
type bodyshops {
  accountingconfig(
    # JSON select path
    path: String
  ): jsonb
  address1: String
  address2: String

  # An array relationship
  appointments(
    # distinct select on columns
    distinct_on: [appointments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [appointments_order_by!]

    # filter the rows returned
    where: appointments_bool_exp
  ): [appointments!]!

  # An aggregated array relationship
  appointments_aggregate(
    # distinct select on columns
    distinct_on: [appointments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [appointments_order_by!]

    # filter the rows returned
    where: appointments_bool_exp
  ): appointments_aggregate!
  appt_length: Int!

  # An array relationship
  associations(
    # distinct select on columns
    distinct_on: [associations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [associations_order_by!]

    # filter the rows returned
    where: associations_bool_exp
  ): [associations!]!

  # An aggregated array relationship
  associations_aggregate(
    # distinct select on columns
    distinct_on: [associations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [associations_order_by!]

    # filter the rows returned
    where: associations_bool_exp
  ): associations_aggregate!

  # An array relationship
  audit_trails(
    # distinct select on columns
    distinct_on: [audit_trail_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [audit_trail_order_by!]

    # filter the rows returned
    where: audit_trail_bool_exp
  ): [audit_trail!]!

  # An aggregated array relationship
  audit_trails_aggregate(
    # distinct select on columns
    distinct_on: [audit_trail_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [audit_trail_order_by!]

    # filter the rows returned
    where: audit_trail_bool_exp
  ): audit_trail_aggregate!

  # An array relationship
  available_jobs(
    # distinct select on columns
    distinct_on: [available_jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [available_jobs_order_by!]

    # filter the rows returned
    where: available_jobs_bool_exp
  ): [available_jobs!]!

  # An aggregated array relationship
  available_jobs_aggregate(
    # distinct select on columns
    distinct_on: [available_jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [available_jobs_order_by!]

    # filter the rows returned
    where: available_jobs_bool_exp
  ): available_jobs_aggregate!
  city: String

  # An array relationship
  conversations(
    # distinct select on columns
    distinct_on: [conversations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [conversations_order_by!]

    # filter the rows returned
    where: conversations_bool_exp
  ): [conversations!]!

  # An aggregated array relationship
  conversations_aggregate(
    # distinct select on columns
    distinct_on: [conversations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [conversations_order_by!]

    # filter the rows returned
    where: conversations_bool_exp
  ): conversations_aggregate!

  # An array relationship
  counters(
    # distinct select on columns
    distinct_on: [counters_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [counters_order_by!]

    # filter the rows returned
    where: counters_bool_exp
  ): [counters!]!

  # An aggregated array relationship
  counters_aggregate(
    # distinct select on columns
    distinct_on: [counters_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [counters_order_by!]

    # filter the rows returned
    where: counters_bool_exp
  ): counters_aggregate!
  country: String

  # An array relationship
  courtesycars(
    # distinct select on columns
    distinct_on: [courtesycars_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [courtesycars_order_by!]

    # filter the rows returned
    where: courtesycars_bool_exp
  ): [courtesycars!]!

  # An aggregated array relationship
  courtesycars_aggregate(
    # distinct select on columns
    distinct_on: [courtesycars_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [courtesycars_order_by!]

    # filter the rows returned
    where: courtesycars_bool_exp
  ): courtesycars_aggregate!
  created_at: timestamptz

  # An array relationship
  csiinvites(
    # distinct select on columns
    distinct_on: [csi_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csi_order_by!]

    # filter the rows returned
    where: csi_bool_exp
  ): [csi!]!

  # An aggregated array relationship
  csiinvites_aggregate(
    # distinct select on columns
    distinct_on: [csi_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csi_order_by!]

    # filter the rows returned
    where: csi_bool_exp
  ): csi_aggregate!

  # An array relationship
  csiquestions(
    # distinct select on columns
    distinct_on: [csiquestions_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csiquestions_order_by!]

    # filter the rows returned
    where: csiquestions_bool_exp
  ): [csiquestions!]!

  # An aggregated array relationship
  csiquestions_aggregate(
    # distinct select on columns
    distinct_on: [csiquestions_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csiquestions_order_by!]

    # filter the rows returned
    where: csiquestions_bool_exp
  ): csiquestions_aggregate!
  deliverchecklist(
    # JSON select path
    path: String
  ): jsonb
  email: String

  # An array relationship
  employees(
    # distinct select on columns
    distinct_on: [employees_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [employees_order_by!]

    # filter the rows returned
    where: employees_bool_exp
  ): [employees!]!

  # An aggregated array relationship
  employees_aggregate(
    # distinct select on columns
    distinct_on: [employees_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [employees_order_by!]

    # filter the rows returned
    where: employees_bool_exp
  ): employees_aggregate!
  enforce_class: Boolean!
  federal_tax_id: String
  id: uuid!
  inhousevendorid: uuid
  insurance_vendor_id: String
  intakechecklist(
    # JSON select path
    path: String
  ): jsonb
  invoice_tax_rates(
    # JSON select path
    path: String
  ): jsonb

  # An array relationship
  jobs(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): [jobs!]!

  # An aggregated array relationship
  jobs_aggregate(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): jobs_aggregate!
  logo_img_path: String
  md_categories(
    # JSON select path
    path: String
  ): jsonb
  md_classes(
    # JSON select path
    path: String
  ): jsonb
  md_ins_cos(
    # JSON select path
    path: String
  ): jsonb
  md_labor_rates(
    # JSON select path
    path: String
  ): jsonb
  md_messaging_presets(
    # JSON select path
    path: String
  ): jsonb!
  md_notes_presets(
    # JSON select path
    path: String
  ): jsonb!
  md_order_statuses(
    # JSON select path
    path: String
  ): jsonb
  md_parts_locations(
    # JSON select path
    path: String
  ): jsonb
  md_rbac(
    # JSON select path
    path: String
  ): jsonb
  md_referral_sources(
    # JSON select path
    path: String
  ): jsonb!
  md_responsibility_centers(
    # JSON select path
    path: String
  ): jsonb
  md_ro_statuses(
    # JSON select path
    path: String
  ): jsonb
  messagingservicesid: String

  # An array relationship
  owners(
    # distinct select on columns
    distinct_on: [owners_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [owners_order_by!]

    # filter the rows returned
    where: owners_bool_exp
  ): [owners!]!

  # An aggregated array relationship
  owners_aggregate(
    # distinct select on columns
    distinct_on: [owners_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [owners_order_by!]

    # filter the rows returned
    where: owners_bool_exp
  ): owners_aggregate!
  prodtargethrs: numeric!
  production_config(
    # JSON select path
    path: String
  ): jsonb
  region_config: String!
  scoreboard_target(
    # JSON select path
    path: String
  ): jsonb
  shopname: String!
  shoprates(
    # JSON select path
    path: String
  ): jsonb
  speedprint(
    # JSON select path
    path: String
  ): jsonb
  ssbuckets(
    # JSON select path
    path: String
  ): jsonb
  state: String
  state_tax_id: String
  stripe_acct_id: String
  template_header: String

  # An array relationship
  templates(
    # distinct select on columns
    distinct_on: [templates_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [templates_order_by!]

    # filter the rows returned
    where: templates_bool_exp
  ): [templates!]!

  # An aggregated array relationship
  templates_aggregate(
    # distinct select on columns
    distinct_on: [templates_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [templates_order_by!]

    # filter the rows returned
    where: templates_bool_exp
  ): templates_aggregate!
  textid: String

  # An array relationship
  timetickets(
    # distinct select on columns
    distinct_on: [timetickets_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [timetickets_order_by!]

    # filter the rows returned
    where: timetickets_bool_exp
  ): [timetickets!]!

  # An aggregated array relationship
  timetickets_aggregate(
    # distinct select on columns
    distinct_on: [timetickets_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [timetickets_order_by!]

    # filter the rows returned
    where: timetickets_bool_exp
  ): timetickets_aggregate!
  updated_at: timestamptz

  # An array relationship
  vehicles(
    # distinct select on columns
    distinct_on: [vehicles_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vehicles_order_by!]

    # filter the rows returned
    where: vehicles_bool_exp
  ): [vehicles!]!

  # An aggregated array relationship
  vehicles_aggregate(
    # distinct select on columns
    distinct_on: [vehicles_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vehicles_order_by!]

    # filter the rows returned
    where: vehicles_bool_exp
  ): vehicles_aggregate!

  # An array relationship
  vendors(
    # distinct select on columns
    distinct_on: [vendors_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vendors_order_by!]

    # filter the rows returned
    where: vendors_bool_exp
  ): [vendors!]!

  # An aggregated array relationship
  vendors_aggregate(
    # distinct select on columns
    distinct_on: [vendors_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vendors_order_by!]

    # filter the rows returned
    where: vendors_bool_exp
  ): vendors_aggregate!
  zip_post: String
}

# aggregated selection of "bodyshops"
type bodyshops_aggregate {
  aggregate: bodyshops_aggregate_fields
  nodes: [bodyshops!]!
}

# aggregate fields of "bodyshops"
type bodyshops_aggregate_fields {
  avg: bodyshops_avg_fields
  count(columns: [bodyshops_select_column!], distinct: Boolean): Int
  max: bodyshops_max_fields
  min: bodyshops_min_fields
  stddev: bodyshops_stddev_fields
  stddev_pop: bodyshops_stddev_pop_fields
  stddev_samp: bodyshops_stddev_samp_fields
  sum: bodyshops_sum_fields
  var_pop: bodyshops_var_pop_fields
  var_samp: bodyshops_var_samp_fields
  variance: bodyshops_variance_fields
}

# order by aggregate values of table "bodyshops"
input bodyshops_aggregate_order_by {
  avg: bodyshops_avg_order_by
  count: order_by
  max: bodyshops_max_order_by
  min: bodyshops_min_order_by
  stddev: bodyshops_stddev_order_by
  stddev_pop: bodyshops_stddev_pop_order_by
  stddev_samp: bodyshops_stddev_samp_order_by
  sum: bodyshops_sum_order_by
  var_pop: bodyshops_var_pop_order_by
  var_samp: bodyshops_var_samp_order_by
  variance: bodyshops_variance_order_by
}

# append existing jsonb value of filtered columns with new jsonb value
input bodyshops_append_input {
  accountingconfig: jsonb
  deliverchecklist: jsonb
  intakechecklist: jsonb
  invoice_tax_rates: jsonb
  md_categories: jsonb
  md_classes: jsonb
  md_ins_cos: jsonb
  md_labor_rates: jsonb
  md_messaging_presets: jsonb
  md_notes_presets: jsonb
  md_order_statuses: jsonb
  md_parts_locations: jsonb
  md_rbac: jsonb
  md_referral_sources: jsonb
  md_responsibility_centers: jsonb
  md_ro_statuses: jsonb
  production_config: jsonb
  scoreboard_target: jsonb
  shoprates: jsonb
  speedprint: jsonb
  ssbuckets: jsonb
}

# input type for inserting array relation for remote table "bodyshops"
input bodyshops_arr_rel_insert_input {
  data: [bodyshops_insert_input!]!
  on_conflict: bodyshops_on_conflict
}

# aggregate avg on columns
type bodyshops_avg_fields {
  appt_length: Float
  prodtargethrs: Float
}

# order by avg() on columns of table "bodyshops"
input bodyshops_avg_order_by {
  appt_length: order_by
  prodtargethrs: order_by
}

# Boolean expression to filter rows from the table "bodyshops". All fields are combined with a logical 'AND'.
input bodyshops_bool_exp {
  _and: [bodyshops_bool_exp]
  _not: bodyshops_bool_exp
  _or: [bodyshops_bool_exp]
  accountingconfig: jsonb_comparison_exp
  address1: String_comparison_exp
  address2: String_comparison_exp
  appointments: appointments_bool_exp
  appt_length: Int_comparison_exp
  associations: associations_bool_exp
  audit_trails: audit_trail_bool_exp
  available_jobs: available_jobs_bool_exp
  city: String_comparison_exp
  conversations: conversations_bool_exp
  counters: counters_bool_exp
  country: String_comparison_exp
  courtesycars: courtesycars_bool_exp
  created_at: timestamptz_comparison_exp
  csiinvites: csi_bool_exp
  csiquestions: csiquestions_bool_exp
  deliverchecklist: jsonb_comparison_exp
  email: String_comparison_exp
  employees: employees_bool_exp
  enforce_class: Boolean_comparison_exp
  federal_tax_id: String_comparison_exp
  id: uuid_comparison_exp
  inhousevendorid: uuid_comparison_exp
  insurance_vendor_id: String_comparison_exp
  intakechecklist: jsonb_comparison_exp
  invoice_tax_rates: jsonb_comparison_exp
  jobs: jobs_bool_exp
  logo_img_path: String_comparison_exp
  md_categories: jsonb_comparison_exp
  md_classes: jsonb_comparison_exp
  md_ins_cos: jsonb_comparison_exp
  md_labor_rates: jsonb_comparison_exp
  md_messaging_presets: jsonb_comparison_exp
  md_notes_presets: jsonb_comparison_exp
  md_order_statuses: jsonb_comparison_exp
  md_parts_locations: jsonb_comparison_exp
  md_rbac: jsonb_comparison_exp
  md_referral_sources: jsonb_comparison_exp
  md_responsibility_centers: jsonb_comparison_exp
  md_ro_statuses: jsonb_comparison_exp
  messagingservicesid: String_comparison_exp
  owners: owners_bool_exp
  prodtargethrs: numeric_comparison_exp
  production_config: jsonb_comparison_exp
  region_config: String_comparison_exp
  scoreboard_target: jsonb_comparison_exp
  shopname: String_comparison_exp
  shoprates: jsonb_comparison_exp
  speedprint: jsonb_comparison_exp
  ssbuckets: jsonb_comparison_exp
  state: String_comparison_exp
  state_tax_id: String_comparison_exp
  stripe_acct_id: String_comparison_exp
  template_header: String_comparison_exp
  templates: templates_bool_exp
  textid: String_comparison_exp
  timetickets: timetickets_bool_exp
  updated_at: timestamptz_comparison_exp
  vehicles: vehicles_bool_exp
  vendors: vendors_bool_exp
  zip_post: String_comparison_exp
}

# unique or primary key constraints on table "bodyshops"
enum bodyshops_constraint {
  # unique or primary key constraint
  bodyshops_messagingservicesid_key

  # unique or primary key constraint
  bodyshops_pkey
}

# delete the field or element with specified path (for JSON arrays, negative integers count from the end)
input bodyshops_delete_at_path_input {
  accountingconfig: [String]
  deliverchecklist: [String]
  intakechecklist: [String]
  invoice_tax_rates: [String]
  md_categories: [String]
  md_classes: [String]
  md_ins_cos: [String]
  md_labor_rates: [String]
  md_messaging_presets: [String]
  md_notes_presets: [String]
  md_order_statuses: [String]
  md_parts_locations: [String]
  md_rbac: [String]
  md_referral_sources: [String]
  md_responsibility_centers: [String]
  md_ro_statuses: [String]
  production_config: [String]
  scoreboard_target: [String]
  shoprates: [String]
  speedprint: [String]
  ssbuckets: [String]
}

# delete the array element with specified index (negative integers count from the
# end). throws an error if top level container is not an array
input bodyshops_delete_elem_input {
  accountingconfig: Int
  deliverchecklist: Int
  intakechecklist: Int
  invoice_tax_rates: Int
  md_categories: Int
  md_classes: Int
  md_ins_cos: Int
  md_labor_rates: Int
  md_messaging_presets: Int
  md_notes_presets: Int
  md_order_statuses: Int
  md_parts_locations: Int
  md_rbac: Int
  md_referral_sources: Int
  md_responsibility_centers: Int
  md_ro_statuses: Int
  production_config: Int
  scoreboard_target: Int
  shoprates: Int
  speedprint: Int
  ssbuckets: Int
}

# delete key/value pair or string element. key/value pairs are matched based on their key value
input bodyshops_delete_key_input {
  accountingconfig: String
  deliverchecklist: String
  intakechecklist: String
  invoice_tax_rates: String
  md_categories: String
  md_classes: String
  md_ins_cos: String
  md_labor_rates: String
  md_messaging_presets: String
  md_notes_presets: String
  md_order_statuses: String
  md_parts_locations: String
  md_rbac: String
  md_referral_sources: String
  md_responsibility_centers: String
  md_ro_statuses: String
  production_config: String
  scoreboard_target: String
  shoprates: String
  speedprint: String
  ssbuckets: String
}

# input type for incrementing integer column in table "bodyshops"
input bodyshops_inc_input {
  appt_length: Int
  prodtargethrs: numeric
}

# input type for inserting data into table "bodyshops"
input bodyshops_insert_input {
  accountingconfig: jsonb
  address1: String
  address2: String
  appointments: appointments_arr_rel_insert_input
  appt_length: Int
  associations: associations_arr_rel_insert_input
  audit_trails: audit_trail_arr_rel_insert_input
  available_jobs: available_jobs_arr_rel_insert_input
  city: String
  conversations: conversations_arr_rel_insert_input
  counters: counters_arr_rel_insert_input
  country: String
  courtesycars: courtesycars_arr_rel_insert_input
  created_at: timestamptz
  csiinvites: csi_arr_rel_insert_input
  csiquestions: csiquestions_arr_rel_insert_input
  deliverchecklist: jsonb
  email: String
  employees: employees_arr_rel_insert_input
  enforce_class: Boolean
  federal_tax_id: String
  id: uuid
  inhousevendorid: uuid
  insurance_vendor_id: String
  intakechecklist: jsonb
  invoice_tax_rates: jsonb
  jobs: jobs_arr_rel_insert_input
  logo_img_path: String
  md_categories: jsonb
  md_classes: jsonb
  md_ins_cos: jsonb
  md_labor_rates: jsonb
  md_messaging_presets: jsonb
  md_notes_presets: jsonb
  md_order_statuses: jsonb
  md_parts_locations: jsonb
  md_rbac: jsonb
  md_referral_sources: jsonb
  md_responsibility_centers: jsonb
  md_ro_statuses: jsonb
  messagingservicesid: String
  owners: owners_arr_rel_insert_input
  prodtargethrs: numeric
  production_config: jsonb
  region_config: String
  scoreboard_target: jsonb
  shopname: String
  shoprates: jsonb
  speedprint: jsonb
  ssbuckets: jsonb
  state: String
  state_tax_id: String
  stripe_acct_id: String
  template_header: String
  templates: templates_arr_rel_insert_input
  textid: String
  timetickets: timetickets_arr_rel_insert_input
  updated_at: timestamptz
  vehicles: vehicles_arr_rel_insert_input
  vendors: vendors_arr_rel_insert_input
  zip_post: String
}

# aggregate max on columns
type bodyshops_max_fields {
  address1: String
  address2: String
  appt_length: Int
  city: String
  country: String
  created_at: timestamptz
  email: String
  federal_tax_id: String
  id: uuid
  inhousevendorid: uuid
  insurance_vendor_id: String
  logo_img_path: String
  messagingservicesid: String
  prodtargethrs: numeric
  region_config: String
  shopname: String
  state: String
  state_tax_id: String
  stripe_acct_id: String
  template_header: String
  textid: String
  updated_at: timestamptz
  zip_post: String
}

# order by max() on columns of table "bodyshops"
input bodyshops_max_order_by {
  address1: order_by
  address2: order_by
  appt_length: order_by
  city: order_by
  country: order_by
  created_at: order_by
  email: order_by
  federal_tax_id: order_by
  id: order_by
  inhousevendorid: order_by
  insurance_vendor_id: order_by
  logo_img_path: order_by
  messagingservicesid: order_by
  prodtargethrs: order_by
  region_config: order_by
  shopname: order_by
  state: order_by
  state_tax_id: order_by
  stripe_acct_id: order_by
  template_header: order_by
  textid: order_by
  updated_at: order_by
  zip_post: order_by
}

# aggregate min on columns
type bodyshops_min_fields {
  address1: String
  address2: String
  appt_length: Int
  city: String
  country: String
  created_at: timestamptz
  email: String
  federal_tax_id: String
  id: uuid
  inhousevendorid: uuid
  insurance_vendor_id: String
  logo_img_path: String
  messagingservicesid: String
  prodtargethrs: numeric
  region_config: String
  shopname: String
  state: String
  state_tax_id: String
  stripe_acct_id: String
  template_header: String
  textid: String
  updated_at: timestamptz
  zip_post: String
}

# order by min() on columns of table "bodyshops"
input bodyshops_min_order_by {
  address1: order_by
  address2: order_by
  appt_length: order_by
  city: order_by
  country: order_by
  created_at: order_by
  email: order_by
  federal_tax_id: order_by
  id: order_by
  inhousevendorid: order_by
  insurance_vendor_id: order_by
  logo_img_path: order_by
  messagingservicesid: order_by
  prodtargethrs: order_by
  region_config: order_by
  shopname: order_by
  state: order_by
  state_tax_id: order_by
  stripe_acct_id: order_by
  template_header: order_by
  textid: order_by
  updated_at: order_by
  zip_post: order_by
}

# response of any mutation on the table "bodyshops"
type bodyshops_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [bodyshops!]!
}

# input type for inserting object relation for remote table "bodyshops"
input bodyshops_obj_rel_insert_input {
  data: bodyshops_insert_input!
  on_conflict: bodyshops_on_conflict
}

# on conflict condition type for table "bodyshops"
input bodyshops_on_conflict {
  constraint: bodyshops_constraint!
  update_columns: [bodyshops_update_column!]!
  where: bodyshops_bool_exp
}

# ordering options when selecting data from "bodyshops"
input bodyshops_order_by {
  accountingconfig: order_by
  address1: order_by
  address2: order_by
  appointments_aggregate: appointments_aggregate_order_by
  appt_length: order_by
  associations_aggregate: associations_aggregate_order_by
  audit_trails_aggregate: audit_trail_aggregate_order_by
  available_jobs_aggregate: available_jobs_aggregate_order_by
  city: order_by
  conversations_aggregate: conversations_aggregate_order_by
  counters_aggregate: counters_aggregate_order_by
  country: order_by
  courtesycars_aggregate: courtesycars_aggregate_order_by
  created_at: order_by
  csiinvites_aggregate: csi_aggregate_order_by
  csiquestions_aggregate: csiquestions_aggregate_order_by
  deliverchecklist: order_by
  email: order_by
  employees_aggregate: employees_aggregate_order_by
  enforce_class: order_by
  federal_tax_id: order_by
  id: order_by
  inhousevendorid: order_by
  insurance_vendor_id: order_by
  intakechecklist: order_by
  invoice_tax_rates: order_by
  jobs_aggregate: jobs_aggregate_order_by
  logo_img_path: order_by
  md_categories: order_by
  md_classes: order_by
  md_ins_cos: order_by
  md_labor_rates: order_by
  md_messaging_presets: order_by
  md_notes_presets: order_by
  md_order_statuses: order_by
  md_parts_locations: order_by
  md_rbac: order_by
  md_referral_sources: order_by
  md_responsibility_centers: order_by
  md_ro_statuses: order_by
  messagingservicesid: order_by
  owners_aggregate: owners_aggregate_order_by
  prodtargethrs: order_by
  production_config: order_by
  region_config: order_by
  scoreboard_target: order_by
  shopname: order_by
  shoprates: order_by
  speedprint: order_by
  ssbuckets: order_by
  state: order_by
  state_tax_id: order_by
  stripe_acct_id: order_by
  template_header: order_by
  templates_aggregate: templates_aggregate_order_by
  textid: order_by
  timetickets_aggregate: timetickets_aggregate_order_by
  updated_at: order_by
  vehicles_aggregate: vehicles_aggregate_order_by
  vendors_aggregate: vendors_aggregate_order_by
  zip_post: order_by
}

# primary key columns input for table: "bodyshops"
input bodyshops_pk_columns_input {
  id: uuid!
}

# prepend existing jsonb value of filtered columns with new jsonb value
input bodyshops_prepend_input {
  accountingconfig: jsonb
  deliverchecklist: jsonb
  intakechecklist: jsonb
  invoice_tax_rates: jsonb
  md_categories: jsonb
  md_classes: jsonb
  md_ins_cos: jsonb
  md_labor_rates: jsonb
  md_messaging_presets: jsonb
  md_notes_presets: jsonb
  md_order_statuses: jsonb
  md_parts_locations: jsonb
  md_rbac: jsonb
  md_referral_sources: jsonb
  md_responsibility_centers: jsonb
  md_ro_statuses: jsonb
  production_config: jsonb
  scoreboard_target: jsonb
  shoprates: jsonb
  speedprint: jsonb
  ssbuckets: jsonb
}

# select columns of table "bodyshops"
enum bodyshops_select_column {
  # column name
  accountingconfig

  # column name
  address1

  # column name
  address2

  # column name
  appt_length

  # column name
  city

  # column name
  country

  # column name
  created_at

  # column name
  deliverchecklist

  # column name
  email

  # column name
  enforce_class

  # column name
  federal_tax_id

  # column name
  id

  # column name
  inhousevendorid

  # column name
  insurance_vendor_id

  # column name
  intakechecklist

  # column name
  invoice_tax_rates

  # column name
  logo_img_path

  # column name
  md_categories

  # column name
  md_classes

  # column name
  md_ins_cos

  # column name
  md_labor_rates

  # column name
  md_messaging_presets

  # column name
  md_notes_presets

  # column name
  md_order_statuses

  # column name
  md_parts_locations

  # column name
  md_rbac

  # column name
  md_referral_sources

  # column name
  md_responsibility_centers

  # column name
  md_ro_statuses

  # column name
  messagingservicesid

  # column name
  prodtargethrs

  # column name
  production_config

  # column name
  region_config

  # column name
  scoreboard_target

  # column name
  shopname

  # column name
  shoprates

  # column name
  speedprint

  # column name
  ssbuckets

  # column name
  state

  # column name
  state_tax_id

  # column name
  stripe_acct_id

  # column name
  template_header

  # column name
  textid

  # column name
  updated_at

  # column name
  zip_post
}

# input type for updating data in table "bodyshops"
input bodyshops_set_input {
  accountingconfig: jsonb
  address1: String
  address2: String
  appt_length: Int
  city: String
  country: String
  created_at: timestamptz
  deliverchecklist: jsonb
  email: String
  enforce_class: Boolean
  federal_tax_id: String
  id: uuid
  inhousevendorid: uuid
  insurance_vendor_id: String
  intakechecklist: jsonb
  invoice_tax_rates: jsonb
  logo_img_path: String
  md_categories: jsonb
  md_classes: jsonb
  md_ins_cos: jsonb
  md_labor_rates: jsonb
  md_messaging_presets: jsonb
  md_notes_presets: jsonb
  md_order_statuses: jsonb
  md_parts_locations: jsonb
  md_rbac: jsonb
  md_referral_sources: jsonb
  md_responsibility_centers: jsonb
  md_ro_statuses: jsonb
  messagingservicesid: String
  prodtargethrs: numeric
  production_config: jsonb
  region_config: String
  scoreboard_target: jsonb
  shopname: String
  shoprates: jsonb
  speedprint: jsonb
  ssbuckets: jsonb
  state: String
  state_tax_id: String
  stripe_acct_id: String
  template_header: String
  textid: String
  updated_at: timestamptz
  zip_post: String
}

# aggregate stddev on columns
type bodyshops_stddev_fields {
  appt_length: Float
  prodtargethrs: Float
}

# order by stddev() on columns of table "bodyshops"
input bodyshops_stddev_order_by {
  appt_length: order_by
  prodtargethrs: order_by
}

# aggregate stddev_pop on columns
type bodyshops_stddev_pop_fields {
  appt_length: Float
  prodtargethrs: Float
}

# order by stddev_pop() on columns of table "bodyshops"
input bodyshops_stddev_pop_order_by {
  appt_length: order_by
  prodtargethrs: order_by
}

# aggregate stddev_samp on columns
type bodyshops_stddev_samp_fields {
  appt_length: Float
  prodtargethrs: Float
}

# order by stddev_samp() on columns of table "bodyshops"
input bodyshops_stddev_samp_order_by {
  appt_length: order_by
  prodtargethrs: order_by
}

# aggregate sum on columns
type bodyshops_sum_fields {
  appt_length: Int
  prodtargethrs: numeric
}

# order by sum() on columns of table "bodyshops"
input bodyshops_sum_order_by {
  appt_length: order_by
  prodtargethrs: order_by
}

# update columns of table "bodyshops"
enum bodyshops_update_column {
  # column name
  accountingconfig

  # column name
  address1

  # column name
  address2

  # column name
  appt_length

  # column name
  city

  # column name
  country

  # column name
  created_at

  # column name
  deliverchecklist

  # column name
  email

  # column name
  enforce_class

  # column name
  federal_tax_id

  # column name
  id

  # column name
  inhousevendorid

  # column name
  insurance_vendor_id

  # column name
  intakechecklist

  # column name
  invoice_tax_rates

  # column name
  logo_img_path

  # column name
  md_categories

  # column name
  md_classes

  # column name
  md_ins_cos

  # column name
  md_labor_rates

  # column name
  md_messaging_presets

  # column name
  md_notes_presets

  # column name
  md_order_statuses

  # column name
  md_parts_locations

  # column name
  md_rbac

  # column name
  md_referral_sources

  # column name
  md_responsibility_centers

  # column name
  md_ro_statuses

  # column name
  messagingservicesid

  # column name
  prodtargethrs

  # column name
  production_config

  # column name
  region_config

  # column name
  scoreboard_target

  # column name
  shopname

  # column name
  shoprates

  # column name
  speedprint

  # column name
  ssbuckets

  # column name
  state

  # column name
  state_tax_id

  # column name
  stripe_acct_id

  # column name
  template_header

  # column name
  textid

  # column name
  updated_at

  # column name
  zip_post
}

# aggregate var_pop on columns
type bodyshops_var_pop_fields {
  appt_length: Float
  prodtargethrs: Float
}

# order by var_pop() on columns of table "bodyshops"
input bodyshops_var_pop_order_by {
  appt_length: order_by
  prodtargethrs: order_by
}

# aggregate var_samp on columns
type bodyshops_var_samp_fields {
  appt_length: Float
  prodtargethrs: Float
}

# order by var_samp() on columns of table "bodyshops"
input bodyshops_var_samp_order_by {
  appt_length: order_by
  prodtargethrs: order_by
}

# aggregate variance on columns
type bodyshops_variance_fields {
  appt_length: Float
  prodtargethrs: Float
}

# order by variance() on columns of table "bodyshops"
input bodyshops_variance_order_by {
  appt_length: order_by
  prodtargethrs: order_by
}

# expression to compare columns of type Boolean. All fields are combined with logical 'AND'.
input Boolean_comparison_exp {
  _eq: Boolean
  _gt: Boolean
  _gte: Boolean
  _in: [Boolean!]
  _is_null: Boolean
  _lt: Boolean
  _lte: Boolean
  _neq: Boolean
  _nin: [Boolean!]
}

# columns and relationships of "cccontracts"
type cccontracts {
  actax: numeric
  actualreturn: timestamptz
  agreementnumber: Int!
  cc_cardholder: String
  cc_expiry: String
  cc_num: String
  cleanupcharge: numeric
  contract_date: date!

  # An object relationship
  courtesycar: courtesycars!
  courtesycarid: uuid!
  coverage: numeric
  created_at: timestamptz!
  dailyfreekm: Int
  dailyrate: numeric
  damagewaiver: numeric
  driver_addr1: String!
  driver_addr2: String
  driver_city: String!
  driver_dlexpiry: date!
  driver_dlnumber: String!
  driver_dlst: String!
  driver_dob: date!
  driver_fn: String!
  driver_ln: String!
  driver_ph1: String!
  driver_state: String!
  driver_zip: String!
  excesskmrate: numeric
  federaltax: numeric
  id: uuid!

  # An object relationship
  job: jobs!
  jobid: uuid!
  kmend: numeric
  kmstart: numeric!
  localtax: numeric
  refuelcharge: numeric
  scheduledreturn: timestamptz
  start: timestamptz
  statetax: numeric
  status: String!
  updated_at: timestamptz!
}

# aggregated selection of "cccontracts"
type cccontracts_aggregate {
  aggregate: cccontracts_aggregate_fields
  nodes: [cccontracts!]!
}

# aggregate fields of "cccontracts"
type cccontracts_aggregate_fields {
  avg: cccontracts_avg_fields
  count(columns: [cccontracts_select_column!], distinct: Boolean): Int
  max: cccontracts_max_fields
  min: cccontracts_min_fields
  stddev: cccontracts_stddev_fields
  stddev_pop: cccontracts_stddev_pop_fields
  stddev_samp: cccontracts_stddev_samp_fields
  sum: cccontracts_sum_fields
  var_pop: cccontracts_var_pop_fields
  var_samp: cccontracts_var_samp_fields
  variance: cccontracts_variance_fields
}

# order by aggregate values of table "cccontracts"
input cccontracts_aggregate_order_by {
  avg: cccontracts_avg_order_by
  count: order_by
  max: cccontracts_max_order_by
  min: cccontracts_min_order_by
  stddev: cccontracts_stddev_order_by
  stddev_pop: cccontracts_stddev_pop_order_by
  stddev_samp: cccontracts_stddev_samp_order_by
  sum: cccontracts_sum_order_by
  var_pop: cccontracts_var_pop_order_by
  var_samp: cccontracts_var_samp_order_by
  variance: cccontracts_variance_order_by
}

# input type for inserting array relation for remote table "cccontracts"
input cccontracts_arr_rel_insert_input {
  data: [cccontracts_insert_input!]!
  on_conflict: cccontracts_on_conflict
}

# aggregate avg on columns
type cccontracts_avg_fields {
  actax: Float
  agreementnumber: Float
  cleanupcharge: Float
  coverage: Float
  dailyfreekm: Float
  dailyrate: Float
  damagewaiver: Float
  excesskmrate: Float
  federaltax: Float
  kmend: Float
  kmstart: Float
  localtax: Float
  refuelcharge: Float
  statetax: Float
}

# order by avg() on columns of table "cccontracts"
input cccontracts_avg_order_by {
  actax: order_by
  agreementnumber: order_by
  cleanupcharge: order_by
  coverage: order_by
  dailyfreekm: order_by
  dailyrate: order_by
  damagewaiver: order_by
  excesskmrate: order_by
  federaltax: order_by
  kmend: order_by
  kmstart: order_by
  localtax: order_by
  refuelcharge: order_by
  statetax: order_by
}

# Boolean expression to filter rows from the table "cccontracts". All fields are combined with a logical 'AND'.
input cccontracts_bool_exp {
  _and: [cccontracts_bool_exp]
  _not: cccontracts_bool_exp
  _or: [cccontracts_bool_exp]
  actax: numeric_comparison_exp
  actualreturn: timestamptz_comparison_exp
  agreementnumber: Int_comparison_exp
  cc_cardholder: String_comparison_exp
  cc_expiry: String_comparison_exp
  cc_num: String_comparison_exp
  cleanupcharge: numeric_comparison_exp
  contract_date: date_comparison_exp
  courtesycar: courtesycars_bool_exp
  courtesycarid: uuid_comparison_exp
  coverage: numeric_comparison_exp
  created_at: timestamptz_comparison_exp
  dailyfreekm: Int_comparison_exp
  dailyrate: numeric_comparison_exp
  damagewaiver: numeric_comparison_exp
  driver_addr1: String_comparison_exp
  driver_addr2: String_comparison_exp
  driver_city: String_comparison_exp
  driver_dlexpiry: date_comparison_exp
  driver_dlnumber: String_comparison_exp
  driver_dlst: String_comparison_exp
  driver_dob: date_comparison_exp
  driver_fn: String_comparison_exp
  driver_ln: String_comparison_exp
  driver_ph1: String_comparison_exp
  driver_state: String_comparison_exp
  driver_zip: String_comparison_exp
  excesskmrate: numeric_comparison_exp
  federaltax: numeric_comparison_exp
  id: uuid_comparison_exp
  job: jobs_bool_exp
  jobid: uuid_comparison_exp
  kmend: numeric_comparison_exp
  kmstart: numeric_comparison_exp
  localtax: numeric_comparison_exp
  refuelcharge: numeric_comparison_exp
  scheduledreturn: timestamptz_comparison_exp
  start: timestamptz_comparison_exp
  statetax: numeric_comparison_exp
  status: String_comparison_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "cccontracts"
enum cccontracts_constraint {
  # unique or primary key constraint
  cccontract_pkey
}

# input type for incrementing integer column in table "cccontracts"
input cccontracts_inc_input {
  actax: numeric
  agreementnumber: Int
  cleanupcharge: numeric
  coverage: numeric
  dailyfreekm: Int
  dailyrate: numeric
  damagewaiver: numeric
  excesskmrate: numeric
  federaltax: numeric
  kmend: numeric
  kmstart: numeric
  localtax: numeric
  refuelcharge: numeric
  statetax: numeric
}

# input type for inserting data into table "cccontracts"
input cccontracts_insert_input {
  actax: numeric
  actualreturn: timestamptz
  agreementnumber: Int
  cc_cardholder: String
  cc_expiry: String
  cc_num: String
  cleanupcharge: numeric
  contract_date: date
  courtesycar: courtesycars_obj_rel_insert_input
  courtesycarid: uuid
  coverage: numeric
  created_at: timestamptz
  dailyfreekm: Int
  dailyrate: numeric
  damagewaiver: numeric
  driver_addr1: String
  driver_addr2: String
  driver_city: String
  driver_dlexpiry: date
  driver_dlnumber: String
  driver_dlst: String
  driver_dob: date
  driver_fn: String
  driver_ln: String
  driver_ph1: String
  driver_state: String
  driver_zip: String
  excesskmrate: numeric
  federaltax: numeric
  id: uuid
  job: jobs_obj_rel_insert_input
  jobid: uuid
  kmend: numeric
  kmstart: numeric
  localtax: numeric
  refuelcharge: numeric
  scheduledreturn: timestamptz
  start: timestamptz
  statetax: numeric
  status: String
  updated_at: timestamptz
}

# aggregate max on columns
type cccontracts_max_fields {
  actax: numeric
  actualreturn: timestamptz
  agreementnumber: Int
  cc_cardholder: String
  cc_expiry: String
  cc_num: String
  cleanupcharge: numeric
  contract_date: date
  courtesycarid: uuid
  coverage: numeric
  created_at: timestamptz
  dailyfreekm: Int
  dailyrate: numeric
  damagewaiver: numeric
  driver_addr1: String
  driver_addr2: String
  driver_city: String
  driver_dlexpiry: date
  driver_dlnumber: String
  driver_dlst: String
  driver_dob: date
  driver_fn: String
  driver_ln: String
  driver_ph1: String
  driver_state: String
  driver_zip: String
  excesskmrate: numeric
  federaltax: numeric
  id: uuid
  jobid: uuid
  kmend: numeric
  kmstart: numeric
  localtax: numeric
  refuelcharge: numeric
  scheduledreturn: timestamptz
  start: timestamptz
  statetax: numeric
  status: String
  updated_at: timestamptz
}

# order by max() on columns of table "cccontracts"
input cccontracts_max_order_by {
  actax: order_by
  actualreturn: order_by
  agreementnumber: order_by
  cc_cardholder: order_by
  cc_expiry: order_by
  cc_num: order_by
  cleanupcharge: order_by
  contract_date: order_by
  courtesycarid: order_by
  coverage: order_by
  created_at: order_by
  dailyfreekm: order_by
  dailyrate: order_by
  damagewaiver: order_by
  driver_addr1: order_by
  driver_addr2: order_by
  driver_city: order_by
  driver_dlexpiry: order_by
  driver_dlnumber: order_by
  driver_dlst: order_by
  driver_dob: order_by
  driver_fn: order_by
  driver_ln: order_by
  driver_ph1: order_by
  driver_state: order_by
  driver_zip: order_by
  excesskmrate: order_by
  federaltax: order_by
  id: order_by
  jobid: order_by
  kmend: order_by
  kmstart: order_by
  localtax: order_by
  refuelcharge: order_by
  scheduledreturn: order_by
  start: order_by
  statetax: order_by
  status: order_by
  updated_at: order_by
}

# aggregate min on columns
type cccontracts_min_fields {
  actax: numeric
  actualreturn: timestamptz
  agreementnumber: Int
  cc_cardholder: String
  cc_expiry: String
  cc_num: String
  cleanupcharge: numeric
  contract_date: date
  courtesycarid: uuid
  coverage: numeric
  created_at: timestamptz
  dailyfreekm: Int
  dailyrate: numeric
  damagewaiver: numeric
  driver_addr1: String
  driver_addr2: String
  driver_city: String
  driver_dlexpiry: date
  driver_dlnumber: String
  driver_dlst: String
  driver_dob: date
  driver_fn: String
  driver_ln: String
  driver_ph1: String
  driver_state: String
  driver_zip: String
  excesskmrate: numeric
  federaltax: numeric
  id: uuid
  jobid: uuid
  kmend: numeric
  kmstart: numeric
  localtax: numeric
  refuelcharge: numeric
  scheduledreturn: timestamptz
  start: timestamptz
  statetax: numeric
  status: String
  updated_at: timestamptz
}

# order by min() on columns of table "cccontracts"
input cccontracts_min_order_by {
  actax: order_by
  actualreturn: order_by
  agreementnumber: order_by
  cc_cardholder: order_by
  cc_expiry: order_by
  cc_num: order_by
  cleanupcharge: order_by
  contract_date: order_by
  courtesycarid: order_by
  coverage: order_by
  created_at: order_by
  dailyfreekm: order_by
  dailyrate: order_by
  damagewaiver: order_by
  driver_addr1: order_by
  driver_addr2: order_by
  driver_city: order_by
  driver_dlexpiry: order_by
  driver_dlnumber: order_by
  driver_dlst: order_by
  driver_dob: order_by
  driver_fn: order_by
  driver_ln: order_by
  driver_ph1: order_by
  driver_state: order_by
  driver_zip: order_by
  excesskmrate: order_by
  federaltax: order_by
  id: order_by
  jobid: order_by
  kmend: order_by
  kmstart: order_by
  localtax: order_by
  refuelcharge: order_by
  scheduledreturn: order_by
  start: order_by
  statetax: order_by
  status: order_by
  updated_at: order_by
}

# response of any mutation on the table "cccontracts"
type cccontracts_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [cccontracts!]!
}

# input type for inserting object relation for remote table "cccontracts"
input cccontracts_obj_rel_insert_input {
  data: cccontracts_insert_input!
  on_conflict: cccontracts_on_conflict
}

# on conflict condition type for table "cccontracts"
input cccontracts_on_conflict {
  constraint: cccontracts_constraint!
  update_columns: [cccontracts_update_column!]!
  where: cccontracts_bool_exp
}

# ordering options when selecting data from "cccontracts"
input cccontracts_order_by {
  actax: order_by
  actualreturn: order_by
  agreementnumber: order_by
  cc_cardholder: order_by
  cc_expiry: order_by
  cc_num: order_by
  cleanupcharge: order_by
  contract_date: order_by
  courtesycar: courtesycars_order_by
  courtesycarid: order_by
  coverage: order_by
  created_at: order_by
  dailyfreekm: order_by
  dailyrate: order_by
  damagewaiver: order_by
  driver_addr1: order_by
  driver_addr2: order_by
  driver_city: order_by
  driver_dlexpiry: order_by
  driver_dlnumber: order_by
  driver_dlst: order_by
  driver_dob: order_by
  driver_fn: order_by
  driver_ln: order_by
  driver_ph1: order_by
  driver_state: order_by
  driver_zip: order_by
  excesskmrate: order_by
  federaltax: order_by
  id: order_by
  job: jobs_order_by
  jobid: order_by
  kmend: order_by
  kmstart: order_by
  localtax: order_by
  refuelcharge: order_by
  scheduledreturn: order_by
  start: order_by
  statetax: order_by
  status: order_by
  updated_at: order_by
}

# primary key columns input for table: "cccontracts"
input cccontracts_pk_columns_input {
  id: uuid!
}

# select columns of table "cccontracts"
enum cccontracts_select_column {
  # column name
  actax

  # column name
  actualreturn

  # column name
  agreementnumber

  # column name
  cc_cardholder

  # column name
  cc_expiry

  # column name
  cc_num

  # column name
  cleanupcharge

  # column name
  contract_date

  # column name
  courtesycarid

  # column name
  coverage

  # column name
  created_at

  # column name
  dailyfreekm

  # column name
  dailyrate

  # column name
  damagewaiver

  # column name
  driver_addr1

  # column name
  driver_addr2

  # column name
  driver_city

  # column name
  driver_dlexpiry

  # column name
  driver_dlnumber

  # column name
  driver_dlst

  # column name
  driver_dob

  # column name
  driver_fn

  # column name
  driver_ln

  # column name
  driver_ph1

  # column name
  driver_state

  # column name
  driver_zip

  # column name
  excesskmrate

  # column name
  federaltax

  # column name
  id

  # column name
  jobid

  # column name
  kmend

  # column name
  kmstart

  # column name
  localtax

  # column name
  refuelcharge

  # column name
  scheduledreturn

  # column name
  start

  # column name
  statetax

  # column name
  status

  # column name
  updated_at
}

# input type for updating data in table "cccontracts"
input cccontracts_set_input {
  actax: numeric
  actualreturn: timestamptz
  agreementnumber: Int
  cc_cardholder: String
  cc_expiry: String
  cc_num: String
  cleanupcharge: numeric
  contract_date: date
  courtesycarid: uuid
  coverage: numeric
  created_at: timestamptz
  dailyfreekm: Int
  dailyrate: numeric
  damagewaiver: numeric
  driver_addr1: String
  driver_addr2: String
  driver_city: String
  driver_dlexpiry: date
  driver_dlnumber: String
  driver_dlst: String
  driver_dob: date
  driver_fn: String
  driver_ln: String
  driver_ph1: String
  driver_state: String
  driver_zip: String
  excesskmrate: numeric
  federaltax: numeric
  id: uuid
  jobid: uuid
  kmend: numeric
  kmstart: numeric
  localtax: numeric
  refuelcharge: numeric
  scheduledreturn: timestamptz
  start: timestamptz
  statetax: numeric
  status: String
  updated_at: timestamptz
}

# aggregate stddev on columns
type cccontracts_stddev_fields {
  actax: Float
  agreementnumber: Float
  cleanupcharge: Float
  coverage: Float
  dailyfreekm: Float
  dailyrate: Float
  damagewaiver: Float
  excesskmrate: Float
  federaltax: Float
  kmend: Float
  kmstart: Float
  localtax: Float
  refuelcharge: Float
  statetax: Float
}

# order by stddev() on columns of table "cccontracts"
input cccontracts_stddev_order_by {
  actax: order_by
  agreementnumber: order_by
  cleanupcharge: order_by
  coverage: order_by
  dailyfreekm: order_by
  dailyrate: order_by
  damagewaiver: order_by
  excesskmrate: order_by
  federaltax: order_by
  kmend: order_by
  kmstart: order_by
  localtax: order_by
  refuelcharge: order_by
  statetax: order_by
}

# aggregate stddev_pop on columns
type cccontracts_stddev_pop_fields {
  actax: Float
  agreementnumber: Float
  cleanupcharge: Float
  coverage: Float
  dailyfreekm: Float
  dailyrate: Float
  damagewaiver: Float
  excesskmrate: Float
  federaltax: Float
  kmend: Float
  kmstart: Float
  localtax: Float
  refuelcharge: Float
  statetax: Float
}

# order by stddev_pop() on columns of table "cccontracts"
input cccontracts_stddev_pop_order_by {
  actax: order_by
  agreementnumber: order_by
  cleanupcharge: order_by
  coverage: order_by
  dailyfreekm: order_by
  dailyrate: order_by
  damagewaiver: order_by
  excesskmrate: order_by
  federaltax: order_by
  kmend: order_by
  kmstart: order_by
  localtax: order_by
  refuelcharge: order_by
  statetax: order_by
}

# aggregate stddev_samp on columns
type cccontracts_stddev_samp_fields {
  actax: Float
  agreementnumber: Float
  cleanupcharge: Float
  coverage: Float
  dailyfreekm: Float
  dailyrate: Float
  damagewaiver: Float
  excesskmrate: Float
  federaltax: Float
  kmend: Float
  kmstart: Float
  localtax: Float
  refuelcharge: Float
  statetax: Float
}

# order by stddev_samp() on columns of table "cccontracts"
input cccontracts_stddev_samp_order_by {
  actax: order_by
  agreementnumber: order_by
  cleanupcharge: order_by
  coverage: order_by
  dailyfreekm: order_by
  dailyrate: order_by
  damagewaiver: order_by
  excesskmrate: order_by
  federaltax: order_by
  kmend: order_by
  kmstart: order_by
  localtax: order_by
  refuelcharge: order_by
  statetax: order_by
}

# aggregate sum on columns
type cccontracts_sum_fields {
  actax: numeric
  agreementnumber: Int
  cleanupcharge: numeric
  coverage: numeric
  dailyfreekm: Int
  dailyrate: numeric
  damagewaiver: numeric
  excesskmrate: numeric
  federaltax: numeric
  kmend: numeric
  kmstart: numeric
  localtax: numeric
  refuelcharge: numeric
  statetax: numeric
}

# order by sum() on columns of table "cccontracts"
input cccontracts_sum_order_by {
  actax: order_by
  agreementnumber: order_by
  cleanupcharge: order_by
  coverage: order_by
  dailyfreekm: order_by
  dailyrate: order_by
  damagewaiver: order_by
  excesskmrate: order_by
  federaltax: order_by
  kmend: order_by
  kmstart: order_by
  localtax: order_by
  refuelcharge: order_by
  statetax: order_by
}

# update columns of table "cccontracts"
enum cccontracts_update_column {
  # column name
  actax

  # column name
  actualreturn

  # column name
  agreementnumber

  # column name
  cc_cardholder

  # column name
  cc_expiry

  # column name
  cc_num

  # column name
  cleanupcharge

  # column name
  contract_date

  # column name
  courtesycarid

  # column name
  coverage

  # column name
  created_at

  # column name
  dailyfreekm

  # column name
  dailyrate

  # column name
  damagewaiver

  # column name
  driver_addr1

  # column name
  driver_addr2

  # column name
  driver_city

  # column name
  driver_dlexpiry

  # column name
  driver_dlnumber

  # column name
  driver_dlst

  # column name
  driver_dob

  # column name
  driver_fn

  # column name
  driver_ln

  # column name
  driver_ph1

  # column name
  driver_state

  # column name
  driver_zip

  # column name
  excesskmrate

  # column name
  federaltax

  # column name
  id

  # column name
  jobid

  # column name
  kmend

  # column name
  kmstart

  # column name
  localtax

  # column name
  refuelcharge

  # column name
  scheduledreturn

  # column name
  start

  # column name
  statetax

  # column name
  status

  # column name
  updated_at
}

# aggregate var_pop on columns
type cccontracts_var_pop_fields {
  actax: Float
  agreementnumber: Float
  cleanupcharge: Float
  coverage: Float
  dailyfreekm: Float
  dailyrate: Float
  damagewaiver: Float
  excesskmrate: Float
  federaltax: Float
  kmend: Float
  kmstart: Float
  localtax: Float
  refuelcharge: Float
  statetax: Float
}

# order by var_pop() on columns of table "cccontracts"
input cccontracts_var_pop_order_by {
  actax: order_by
  agreementnumber: order_by
  cleanupcharge: order_by
  coverage: order_by
  dailyfreekm: order_by
  dailyrate: order_by
  damagewaiver: order_by
  excesskmrate: order_by
  federaltax: order_by
  kmend: order_by
  kmstart: order_by
  localtax: order_by
  refuelcharge: order_by
  statetax: order_by
}

# aggregate var_samp on columns
type cccontracts_var_samp_fields {
  actax: Float
  agreementnumber: Float
  cleanupcharge: Float
  coverage: Float
  dailyfreekm: Float
  dailyrate: Float
  damagewaiver: Float
  excesskmrate: Float
  federaltax: Float
  kmend: Float
  kmstart: Float
  localtax: Float
  refuelcharge: Float
  statetax: Float
}

# order by var_samp() on columns of table "cccontracts"
input cccontracts_var_samp_order_by {
  actax: order_by
  agreementnumber: order_by
  cleanupcharge: order_by
  coverage: order_by
  dailyfreekm: order_by
  dailyrate: order_by
  damagewaiver: order_by
  excesskmrate: order_by
  federaltax: order_by
  kmend: order_by
  kmstart: order_by
  localtax: order_by
  refuelcharge: order_by
  statetax: order_by
}

# aggregate variance on columns
type cccontracts_variance_fields {
  actax: Float
  agreementnumber: Float
  cleanupcharge: Float
  coverage: Float
  dailyfreekm: Float
  dailyrate: Float
  damagewaiver: Float
  excesskmrate: Float
  federaltax: Float
  kmend: Float
  kmstart: Float
  localtax: Float
  refuelcharge: Float
  statetax: Float
}

# order by variance() on columns of table "cccontracts"
input cccontracts_variance_order_by {
  actax: order_by
  agreementnumber: order_by
  cleanupcharge: order_by
  coverage: order_by
  dailyfreekm: order_by
  dailyrate: order_by
  damagewaiver: order_by
  excesskmrate: order_by
  federaltax: order_by
  kmend: order_by
  kmstart: order_by
  localtax: order_by
  refuelcharge: order_by
  statetax: order_by
}

# columns and relationships of "conversations"
type conversations {
  # An object relationship
  bodyshop: bodyshops!
  bodyshopid: uuid!
  created_at: timestamptz!
  id: uuid!

  # An array relationship
  job_conversations(
    # distinct select on columns
    distinct_on: [job_conversations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [job_conversations_order_by!]

    # filter the rows returned
    where: job_conversations_bool_exp
  ): [job_conversations!]!

  # An aggregated array relationship
  job_conversations_aggregate(
    # distinct select on columns
    distinct_on: [job_conversations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [job_conversations_order_by!]

    # filter the rows returned
    where: job_conversations_bool_exp
  ): job_conversations_aggregate!

  # An array relationship
  messages(
    # distinct select on columns
    distinct_on: [messages_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [messages_order_by!]

    # filter the rows returned
    where: messages_bool_exp
  ): [messages!]!

  # An aggregated array relationship
  messages_aggregate(
    # distinct select on columns
    distinct_on: [messages_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [messages_order_by!]

    # filter the rows returned
    where: messages_bool_exp
  ): messages_aggregate!
  phone_num: String!
  updated_at: timestamptz!
}

# aggregated selection of "conversations"
type conversations_aggregate {
  aggregate: conversations_aggregate_fields
  nodes: [conversations!]!
}

# aggregate fields of "conversations"
type conversations_aggregate_fields {
  count(columns: [conversations_select_column!], distinct: Boolean): Int
  max: conversations_max_fields
  min: conversations_min_fields
}

# order by aggregate values of table "conversations"
input conversations_aggregate_order_by {
  count: order_by
  max: conversations_max_order_by
  min: conversations_min_order_by
}

# input type for inserting array relation for remote table "conversations"
input conversations_arr_rel_insert_input {
  data: [conversations_insert_input!]!
  on_conflict: conversations_on_conflict
}

# Boolean expression to filter rows from the table "conversations". All fields are combined with a logical 'AND'.
input conversations_bool_exp {
  _and: [conversations_bool_exp]
  _not: conversations_bool_exp
  _or: [conversations_bool_exp]
  bodyshop: bodyshops_bool_exp
  bodyshopid: uuid_comparison_exp
  created_at: timestamptz_comparison_exp
  id: uuid_comparison_exp
  job_conversations: job_conversations_bool_exp
  messages: messages_bool_exp
  phone_num: String_comparison_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "conversations"
enum conversations_constraint {
  # unique or primary key constraint
  conversations_pkey
}

# input type for inserting data into table "conversations"
input conversations_insert_input {
  bodyshop: bodyshops_obj_rel_insert_input
  bodyshopid: uuid
  created_at: timestamptz
  id: uuid
  job_conversations: job_conversations_arr_rel_insert_input
  messages: messages_arr_rel_insert_input
  phone_num: String
  updated_at: timestamptz
}

# aggregate max on columns
type conversations_max_fields {
  bodyshopid: uuid
  created_at: timestamptz
  id: uuid
  phone_num: String
  updated_at: timestamptz
}

# order by max() on columns of table "conversations"
input conversations_max_order_by {
  bodyshopid: order_by
  created_at: order_by
  id: order_by
  phone_num: order_by
  updated_at: order_by
}

# aggregate min on columns
type conversations_min_fields {
  bodyshopid: uuid
  created_at: timestamptz
  id: uuid
  phone_num: String
  updated_at: timestamptz
}

# order by min() on columns of table "conversations"
input conversations_min_order_by {
  bodyshopid: order_by
  created_at: order_by
  id: order_by
  phone_num: order_by
  updated_at: order_by
}

# response of any mutation on the table "conversations"
type conversations_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [conversations!]!
}

# input type for inserting object relation for remote table "conversations"
input conversations_obj_rel_insert_input {
  data: conversations_insert_input!
  on_conflict: conversations_on_conflict
}

# on conflict condition type for table "conversations"
input conversations_on_conflict {
  constraint: conversations_constraint!
  update_columns: [conversations_update_column!]!
  where: conversations_bool_exp
}

# ordering options when selecting data from "conversations"
input conversations_order_by {
  bodyshop: bodyshops_order_by
  bodyshopid: order_by
  created_at: order_by
  id: order_by
  job_conversations_aggregate: job_conversations_aggregate_order_by
  messages_aggregate: messages_aggregate_order_by
  phone_num: order_by
  updated_at: order_by
}

# primary key columns input for table: "conversations"
input conversations_pk_columns_input {
  id: uuid!
}

# select columns of table "conversations"
enum conversations_select_column {
  # column name
  bodyshopid

  # column name
  created_at

  # column name
  id

  # column name
  phone_num

  # column name
  updated_at
}

# input type for updating data in table "conversations"
input conversations_set_input {
  bodyshopid: uuid
  created_at: timestamptz
  id: uuid
  phone_num: String
  updated_at: timestamptz
}

# update columns of table "conversations"
enum conversations_update_column {
  # column name
  bodyshopid

  # column name
  created_at

  # column name
  id

  # column name
  phone_num

  # column name
  updated_at
}

# columns and relationships of "counters"
type counters {
  # An object relationship
  bodyshop: bodyshops!
  count: Int!
  countertype: String!
  id: uuid!
  prefix: String
  shopid: uuid!
  updated_at: timestamptz!
}

# aggregated selection of "counters"
type counters_aggregate {
  aggregate: counters_aggregate_fields
  nodes: [counters!]!
}

# aggregate fields of "counters"
type counters_aggregate_fields {
  avg: counters_avg_fields
  count(columns: [counters_select_column!], distinct: Boolean): Int
  max: counters_max_fields
  min: counters_min_fields
  stddev: counters_stddev_fields
  stddev_pop: counters_stddev_pop_fields
  stddev_samp: counters_stddev_samp_fields
  sum: counters_sum_fields
  var_pop: counters_var_pop_fields
  var_samp: counters_var_samp_fields
  variance: counters_variance_fields
}

# order by aggregate values of table "counters"
input counters_aggregate_order_by {
  avg: counters_avg_order_by
  count: order_by
  max: counters_max_order_by
  min: counters_min_order_by
  stddev: counters_stddev_order_by
  stddev_pop: counters_stddev_pop_order_by
  stddev_samp: counters_stddev_samp_order_by
  sum: counters_sum_order_by
  var_pop: counters_var_pop_order_by
  var_samp: counters_var_samp_order_by
  variance: counters_variance_order_by
}

# input type for inserting array relation for remote table "counters"
input counters_arr_rel_insert_input {
  data: [counters_insert_input!]!
  on_conflict: counters_on_conflict
}

# aggregate avg on columns
type counters_avg_fields {
  count: Float
}

# order by avg() on columns of table "counters"
input counters_avg_order_by {
  count: order_by
}

# Boolean expression to filter rows from the table "counters". All fields are combined with a logical 'AND'.
input counters_bool_exp {
  _and: [counters_bool_exp]
  _not: counters_bool_exp
  _or: [counters_bool_exp]
  bodyshop: bodyshops_bool_exp
  count: Int_comparison_exp
  countertype: String_comparison_exp
  id: uuid_comparison_exp
  prefix: String_comparison_exp
  shopid: uuid_comparison_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "counters"
enum counters_constraint {
  # unique or primary key constraint
  counters_pkey
}

# input type for incrementing integer column in table "counters"
input counters_inc_input {
  count: Int
}

# input type for inserting data into table "counters"
input counters_insert_input {
  bodyshop: bodyshops_obj_rel_insert_input
  count: Int
  countertype: String
  id: uuid
  prefix: String
  shopid: uuid
  updated_at: timestamptz
}

# aggregate max on columns
type counters_max_fields {
  count: Int
  countertype: String
  id: uuid
  prefix: String
  shopid: uuid
  updated_at: timestamptz
}

# order by max() on columns of table "counters"
input counters_max_order_by {
  count: order_by
  countertype: order_by
  id: order_by
  prefix: order_by
  shopid: order_by
  updated_at: order_by
}

# aggregate min on columns
type counters_min_fields {
  count: Int
  countertype: String
  id: uuid
  prefix: String
  shopid: uuid
  updated_at: timestamptz
}

# order by min() on columns of table "counters"
input counters_min_order_by {
  count: order_by
  countertype: order_by
  id: order_by
  prefix: order_by
  shopid: order_by
  updated_at: order_by
}

# response of any mutation on the table "counters"
type counters_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [counters!]!
}

# input type for inserting object relation for remote table "counters"
input counters_obj_rel_insert_input {
  data: counters_insert_input!
  on_conflict: counters_on_conflict
}

# on conflict condition type for table "counters"
input counters_on_conflict {
  constraint: counters_constraint!
  update_columns: [counters_update_column!]!
  where: counters_bool_exp
}

# ordering options when selecting data from "counters"
input counters_order_by {
  bodyshop: bodyshops_order_by
  count: order_by
  countertype: order_by
  id: order_by
  prefix: order_by
  shopid: order_by
  updated_at: order_by
}

# primary key columns input for table: "counters"
input counters_pk_columns_input {
  id: uuid!
}

# select columns of table "counters"
enum counters_select_column {
  # column name
  count

  # column name
  countertype

  # column name
  id

  # column name
  prefix

  # column name
  shopid

  # column name
  updated_at
}

# input type for updating data in table "counters"
input counters_set_input {
  count: Int
  countertype: String
  id: uuid
  prefix: String
  shopid: uuid
  updated_at: timestamptz
}

# aggregate stddev on columns
type counters_stddev_fields {
  count: Float
}

# order by stddev() on columns of table "counters"
input counters_stddev_order_by {
  count: order_by
}

# aggregate stddev_pop on columns
type counters_stddev_pop_fields {
  count: Float
}

# order by stddev_pop() on columns of table "counters"
input counters_stddev_pop_order_by {
  count: order_by
}

# aggregate stddev_samp on columns
type counters_stddev_samp_fields {
  count: Float
}

# order by stddev_samp() on columns of table "counters"
input counters_stddev_samp_order_by {
  count: order_by
}

# aggregate sum on columns
type counters_sum_fields {
  count: Int
}

# order by sum() on columns of table "counters"
input counters_sum_order_by {
  count: order_by
}

# update columns of table "counters"
enum counters_update_column {
  # column name
  count

  # column name
  countertype

  # column name
  id

  # column name
  prefix

  # column name
  shopid

  # column name
  updated_at
}

# aggregate var_pop on columns
type counters_var_pop_fields {
  count: Float
}

# order by var_pop() on columns of table "counters"
input counters_var_pop_order_by {
  count: order_by
}

# aggregate var_samp on columns
type counters_var_samp_fields {
  count: Float
}

# order by var_samp() on columns of table "counters"
input counters_var_samp_order_by {
  count: order_by
}

# aggregate variance on columns
type counters_variance_fields {
  count: Float
}

# order by variance() on columns of table "counters"
input counters_variance_order_by {
  count: order_by
}

# columns and relationships of "courtesycars"
type courtesycars {
  # An object relationship
  bodyshop: bodyshops!
  bodyshopid: uuid!

  # An array relationship
  cccontracts(
    # distinct select on columns
    distinct_on: [cccontracts_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [cccontracts_order_by!]

    # filter the rows returned
    where: cccontracts_bool_exp
  ): [cccontracts!]!

  # An aggregated array relationship
  cccontracts_aggregate(
    # distinct select on columns
    distinct_on: [cccontracts_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [cccontracts_order_by!]

    # filter the rows returned
    where: cccontracts_bool_exp
  ): cccontracts_aggregate!
  color: String!
  created_at: timestamptz!
  dailycost: numeric!
  damage: String
  fleetnumber: String
  fuel: numeric!
  id: uuid!
  insuranceexpires: date
  leaseenddate: date
  make: String!
  mileage: numeric!
  model: String!
  nextservicedate: date
  nextservicekm: numeric!
  notes: String
  plate: String!
  purchasedate: date
  registrationexpires: date
  serviceenddate: date
  servicestartdate: date
  status: String!
  updated_at: timestamptz!
  vin: String!
  year: String!
}

# aggregated selection of "courtesycars"
type courtesycars_aggregate {
  aggregate: courtesycars_aggregate_fields
  nodes: [courtesycars!]!
}

# aggregate fields of "courtesycars"
type courtesycars_aggregate_fields {
  avg: courtesycars_avg_fields
  count(columns: [courtesycars_select_column!], distinct: Boolean): Int
  max: courtesycars_max_fields
  min: courtesycars_min_fields
  stddev: courtesycars_stddev_fields
  stddev_pop: courtesycars_stddev_pop_fields
  stddev_samp: courtesycars_stddev_samp_fields
  sum: courtesycars_sum_fields
  var_pop: courtesycars_var_pop_fields
  var_samp: courtesycars_var_samp_fields
  variance: courtesycars_variance_fields
}

# order by aggregate values of table "courtesycars"
input courtesycars_aggregate_order_by {
  avg: courtesycars_avg_order_by
  count: order_by
  max: courtesycars_max_order_by
  min: courtesycars_min_order_by
  stddev: courtesycars_stddev_order_by
  stddev_pop: courtesycars_stddev_pop_order_by
  stddev_samp: courtesycars_stddev_samp_order_by
  sum: courtesycars_sum_order_by
  var_pop: courtesycars_var_pop_order_by
  var_samp: courtesycars_var_samp_order_by
  variance: courtesycars_variance_order_by
}

# input type for inserting array relation for remote table "courtesycars"
input courtesycars_arr_rel_insert_input {
  data: [courtesycars_insert_input!]!
  on_conflict: courtesycars_on_conflict
}

# aggregate avg on columns
type courtesycars_avg_fields {
  dailycost: Float
  fuel: Float
  mileage: Float
  nextservicekm: Float
}

# order by avg() on columns of table "courtesycars"
input courtesycars_avg_order_by {
  dailycost: order_by
  fuel: order_by
  mileage: order_by
  nextservicekm: order_by
}

# Boolean expression to filter rows from the table "courtesycars". All fields are combined with a logical 'AND'.
input courtesycars_bool_exp {
  _and: [courtesycars_bool_exp]
  _not: courtesycars_bool_exp
  _or: [courtesycars_bool_exp]
  bodyshop: bodyshops_bool_exp
  bodyshopid: uuid_comparison_exp
  cccontracts: cccontracts_bool_exp
  color: String_comparison_exp
  created_at: timestamptz_comparison_exp
  dailycost: numeric_comparison_exp
  damage: String_comparison_exp
  fleetnumber: String_comparison_exp
  fuel: numeric_comparison_exp
  id: uuid_comparison_exp
  insuranceexpires: date_comparison_exp
  leaseenddate: date_comparison_exp
  make: String_comparison_exp
  mileage: numeric_comparison_exp
  model: String_comparison_exp
  nextservicedate: date_comparison_exp
  nextservicekm: numeric_comparison_exp
  notes: String_comparison_exp
  plate: String_comparison_exp
  purchasedate: date_comparison_exp
  registrationexpires: date_comparison_exp
  serviceenddate: date_comparison_exp
  servicestartdate: date_comparison_exp
  status: String_comparison_exp
  updated_at: timestamptz_comparison_exp
  vin: String_comparison_exp
  year: String_comparison_exp
}

# unique or primary key constraints on table "courtesycars"
enum courtesycars_constraint {
  # unique or primary key constraint
  courtesycars_pkey
}

# input type for incrementing integer column in table "courtesycars"
input courtesycars_inc_input {
  dailycost: numeric
  fuel: numeric
  mileage: numeric
  nextservicekm: numeric
}

# input type for inserting data into table "courtesycars"
input courtesycars_insert_input {
  bodyshop: bodyshops_obj_rel_insert_input
  bodyshopid: uuid
  cccontracts: cccontracts_arr_rel_insert_input
  color: String
  created_at: timestamptz
  dailycost: numeric
  damage: String
  fleetnumber: String
  fuel: numeric
  id: uuid
  insuranceexpires: date
  leaseenddate: date
  make: String
  mileage: numeric
  model: String
  nextservicedate: date
  nextservicekm: numeric
  notes: String
  plate: String
  purchasedate: date
  registrationexpires: date
  serviceenddate: date
  servicestartdate: date
  status: String
  updated_at: timestamptz
  vin: String
  year: String
}

# aggregate max on columns
type courtesycars_max_fields {
  bodyshopid: uuid
  color: String
  created_at: timestamptz
  dailycost: numeric
  damage: String
  fleetnumber: String
  fuel: numeric
  id: uuid
  insuranceexpires: date
  leaseenddate: date
  make: String
  mileage: numeric
  model: String
  nextservicedate: date
  nextservicekm: numeric
  notes: String
  plate: String
  purchasedate: date
  registrationexpires: date
  serviceenddate: date
  servicestartdate: date
  status: String
  updated_at: timestamptz
  vin: String
  year: String
}

# order by max() on columns of table "courtesycars"
input courtesycars_max_order_by {
  bodyshopid: order_by
  color: order_by
  created_at: order_by
  dailycost: order_by
  damage: order_by
  fleetnumber: order_by
  fuel: order_by
  id: order_by
  insuranceexpires: order_by
  leaseenddate: order_by
  make: order_by
  mileage: order_by
  model: order_by
  nextservicedate: order_by
  nextservicekm: order_by
  notes: order_by
  plate: order_by
  purchasedate: order_by
  registrationexpires: order_by
  serviceenddate: order_by
  servicestartdate: order_by
  status: order_by
  updated_at: order_by
  vin: order_by
  year: order_by
}

# aggregate min on columns
type courtesycars_min_fields {
  bodyshopid: uuid
  color: String
  created_at: timestamptz
  dailycost: numeric
  damage: String
  fleetnumber: String
  fuel: numeric
  id: uuid
  insuranceexpires: date
  leaseenddate: date
  make: String
  mileage: numeric
  model: String
  nextservicedate: date
  nextservicekm: numeric
  notes: String
  plate: String
  purchasedate: date
  registrationexpires: date
  serviceenddate: date
  servicestartdate: date
  status: String
  updated_at: timestamptz
  vin: String
  year: String
}

# order by min() on columns of table "courtesycars"
input courtesycars_min_order_by {
  bodyshopid: order_by
  color: order_by
  created_at: order_by
  dailycost: order_by
  damage: order_by
  fleetnumber: order_by
  fuel: order_by
  id: order_by
  insuranceexpires: order_by
  leaseenddate: order_by
  make: order_by
  mileage: order_by
  model: order_by
  nextservicedate: order_by
  nextservicekm: order_by
  notes: order_by
  plate: order_by
  purchasedate: order_by
  registrationexpires: order_by
  serviceenddate: order_by
  servicestartdate: order_by
  status: order_by
  updated_at: order_by
  vin: order_by
  year: order_by
}

# response of any mutation on the table "courtesycars"
type courtesycars_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [courtesycars!]!
}

# input type for inserting object relation for remote table "courtesycars"
input courtesycars_obj_rel_insert_input {
  data: courtesycars_insert_input!
  on_conflict: courtesycars_on_conflict
}

# on conflict condition type for table "courtesycars"
input courtesycars_on_conflict {
  constraint: courtesycars_constraint!
  update_columns: [courtesycars_update_column!]!
  where: courtesycars_bool_exp
}

# ordering options when selecting data from "courtesycars"
input courtesycars_order_by {
  bodyshop: bodyshops_order_by
  bodyshopid: order_by
  cccontracts_aggregate: cccontracts_aggregate_order_by
  color: order_by
  created_at: order_by
  dailycost: order_by
  damage: order_by
  fleetnumber: order_by
  fuel: order_by
  id: order_by
  insuranceexpires: order_by
  leaseenddate: order_by
  make: order_by
  mileage: order_by
  model: order_by
  nextservicedate: order_by
  nextservicekm: order_by
  notes: order_by
  plate: order_by
  purchasedate: order_by
  registrationexpires: order_by
  serviceenddate: order_by
  servicestartdate: order_by
  status: order_by
  updated_at: order_by
  vin: order_by
  year: order_by
}

# primary key columns input for table: "courtesycars"
input courtesycars_pk_columns_input {
  id: uuid!
}

# select columns of table "courtesycars"
enum courtesycars_select_column {
  # column name
  bodyshopid

  # column name
  color

  # column name
  created_at

  # column name
  dailycost

  # column name
  damage

  # column name
  fleetnumber

  # column name
  fuel

  # column name
  id

  # column name
  insuranceexpires

  # column name
  leaseenddate

  # column name
  make

  # column name
  mileage

  # column name
  model

  # column name
  nextservicedate

  # column name
  nextservicekm

  # column name
  notes

  # column name
  plate

  # column name
  purchasedate

  # column name
  registrationexpires

  # column name
  serviceenddate

  # column name
  servicestartdate

  # column name
  status

  # column name
  updated_at

  # column name
  vin

  # column name
  year
}

# input type for updating data in table "courtesycars"
input courtesycars_set_input {
  bodyshopid: uuid
  color: String
  created_at: timestamptz
  dailycost: numeric
  damage: String
  fleetnumber: String
  fuel: numeric
  id: uuid
  insuranceexpires: date
  leaseenddate: date
  make: String
  mileage: numeric
  model: String
  nextservicedate: date
  nextservicekm: numeric
  notes: String
  plate: String
  purchasedate: date
  registrationexpires: date
  serviceenddate: date
  servicestartdate: date
  status: String
  updated_at: timestamptz
  vin: String
  year: String
}

# aggregate stddev on columns
type courtesycars_stddev_fields {
  dailycost: Float
  fuel: Float
  mileage: Float
  nextservicekm: Float
}

# order by stddev() on columns of table "courtesycars"
input courtesycars_stddev_order_by {
  dailycost: order_by
  fuel: order_by
  mileage: order_by
  nextservicekm: order_by
}

# aggregate stddev_pop on columns
type courtesycars_stddev_pop_fields {
  dailycost: Float
  fuel: Float
  mileage: Float
  nextservicekm: Float
}

# order by stddev_pop() on columns of table "courtesycars"
input courtesycars_stddev_pop_order_by {
  dailycost: order_by
  fuel: order_by
  mileage: order_by
  nextservicekm: order_by
}

# aggregate stddev_samp on columns
type courtesycars_stddev_samp_fields {
  dailycost: Float
  fuel: Float
  mileage: Float
  nextservicekm: Float
}

# order by stddev_samp() on columns of table "courtesycars"
input courtesycars_stddev_samp_order_by {
  dailycost: order_by
  fuel: order_by
  mileage: order_by
  nextservicekm: order_by
}

# aggregate sum on columns
type courtesycars_sum_fields {
  dailycost: numeric
  fuel: numeric
  mileage: numeric
  nextservicekm: numeric
}

# order by sum() on columns of table "courtesycars"
input courtesycars_sum_order_by {
  dailycost: order_by
  fuel: order_by
  mileage: order_by
  nextservicekm: order_by
}

# update columns of table "courtesycars"
enum courtesycars_update_column {
  # column name
  bodyshopid

  # column name
  color

  # column name
  created_at

  # column name
  dailycost

  # column name
  damage

  # column name
  fleetnumber

  # column name
  fuel

  # column name
  id

  # column name
  insuranceexpires

  # column name
  leaseenddate

  # column name
  make

  # column name
  mileage

  # column name
  model

  # column name
  nextservicedate

  # column name
  nextservicekm

  # column name
  notes

  # column name
  plate

  # column name
  purchasedate

  # column name
  registrationexpires

  # column name
  serviceenddate

  # column name
  servicestartdate

  # column name
  status

  # column name
  updated_at

  # column name
  vin

  # column name
  year
}

# aggregate var_pop on columns
type courtesycars_var_pop_fields {
  dailycost: Float
  fuel: Float
  mileage: Float
  nextservicekm: Float
}

# order by var_pop() on columns of table "courtesycars"
input courtesycars_var_pop_order_by {
  dailycost: order_by
  fuel: order_by
  mileage: order_by
  nextservicekm: order_by
}

# aggregate var_samp on columns
type courtesycars_var_samp_fields {
  dailycost: Float
  fuel: Float
  mileage: Float
  nextservicekm: Float
}

# order by var_samp() on columns of table "courtesycars"
input courtesycars_var_samp_order_by {
  dailycost: order_by
  fuel: order_by
  mileage: order_by
  nextservicekm: order_by
}

# aggregate variance on columns
type courtesycars_variance_fields {
  dailycost: Float
  fuel: Float
  mileage: Float
  nextservicekm: Float
}

# order by variance() on columns of table "courtesycars"
input courtesycars_variance_order_by {
  dailycost: order_by
  fuel: order_by
  mileage: order_by
  nextservicekm: order_by
}

# columns and relationships of "csi"
type csi {
  # An object relationship
  bodyshop: bodyshops!
  bodyshopid: uuid!
  completedon: timestamptz
  created_at: timestamptz!

  # An object relationship
  csiquestion: csiquestions
  id: uuid!

  # An object relationship
  job: jobs!
  jobid: uuid!
  questionset: uuid
  relateddata(
    # JSON select path
    path: String
  ): jsonb
  response(
    # JSON select path
    path: String
  ): jsonb
  updated_at: timestamptz!
  valid: Boolean!
  validuntil: date
}

# aggregated selection of "csi"
type csi_aggregate {
  aggregate: csi_aggregate_fields
  nodes: [csi!]!
}

# aggregate fields of "csi"
type csi_aggregate_fields {
  count(columns: [csi_select_column!], distinct: Boolean): Int
  max: csi_max_fields
  min: csi_min_fields
}

# order by aggregate values of table "csi"
input csi_aggregate_order_by {
  count: order_by
  max: csi_max_order_by
  min: csi_min_order_by
}

# append existing jsonb value of filtered columns with new jsonb value
input csi_append_input {
  relateddata: jsonb
  response: jsonb
}

# input type for inserting array relation for remote table "csi"
input csi_arr_rel_insert_input {
  data: [csi_insert_input!]!
  on_conflict: csi_on_conflict
}

# Boolean expression to filter rows from the table "csi". All fields are combined with a logical 'AND'.
input csi_bool_exp {
  _and: [csi_bool_exp]
  _not: csi_bool_exp
  _or: [csi_bool_exp]
  bodyshop: bodyshops_bool_exp
  bodyshopid: uuid_comparison_exp
  completedon: timestamptz_comparison_exp
  created_at: timestamptz_comparison_exp
  csiquestion: csiquestions_bool_exp
  id: uuid_comparison_exp
  job: jobs_bool_exp
  jobid: uuid_comparison_exp
  questionset: uuid_comparison_exp
  relateddata: jsonb_comparison_exp
  response: jsonb_comparison_exp
  updated_at: timestamptz_comparison_exp
  valid: Boolean_comparison_exp
  validuntil: date_comparison_exp
}

# unique or primary key constraints on table "csi"
enum csi_constraint {
  # unique or primary key constraint
  csiinvites_pkey
}

# delete the field or element with specified path (for JSON arrays, negative integers count from the end)
input csi_delete_at_path_input {
  relateddata: [String]
  response: [String]
}

# delete the array element with specified index (negative integers count from the
# end). throws an error if top level container is not an array
input csi_delete_elem_input {
  relateddata: Int
  response: Int
}

# delete key/value pair or string element. key/value pairs are matched based on their key value
input csi_delete_key_input {
  relateddata: String
  response: String
}

# input type for inserting data into table "csi"
input csi_insert_input {
  bodyshop: bodyshops_obj_rel_insert_input
  bodyshopid: uuid
  completedon: timestamptz
  created_at: timestamptz
  csiquestion: csiquestions_obj_rel_insert_input
  id: uuid
  job: jobs_obj_rel_insert_input
  jobid: uuid
  questionset: uuid
  relateddata: jsonb
  response: jsonb
  updated_at: timestamptz
  valid: Boolean
  validuntil: date
}

# aggregate max on columns
type csi_max_fields {
  bodyshopid: uuid
  completedon: timestamptz
  created_at: timestamptz
  id: uuid
  jobid: uuid
  questionset: uuid
  updated_at: timestamptz
  validuntil: date
}

# order by max() on columns of table "csi"
input csi_max_order_by {
  bodyshopid: order_by
  completedon: order_by
  created_at: order_by
  id: order_by
  jobid: order_by
  questionset: order_by
  updated_at: order_by
  validuntil: order_by
}

# aggregate min on columns
type csi_min_fields {
  bodyshopid: uuid
  completedon: timestamptz
  created_at: timestamptz
  id: uuid
  jobid: uuid
  questionset: uuid
  updated_at: timestamptz
  validuntil: date
}

# order by min() on columns of table "csi"
input csi_min_order_by {
  bodyshopid: order_by
  completedon: order_by
  created_at: order_by
  id: order_by
  jobid: order_by
  questionset: order_by
  updated_at: order_by
  validuntil: order_by
}

# response of any mutation on the table "csi"
type csi_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [csi!]!
}

# input type for inserting object relation for remote table "csi"
input csi_obj_rel_insert_input {
  data: csi_insert_input!
  on_conflict: csi_on_conflict
}

# on conflict condition type for table "csi"
input csi_on_conflict {
  constraint: csi_constraint!
  update_columns: [csi_update_column!]!
  where: csi_bool_exp
}

# ordering options when selecting data from "csi"
input csi_order_by {
  bodyshop: bodyshops_order_by
  bodyshopid: order_by
  completedon: order_by
  created_at: order_by
  csiquestion: csiquestions_order_by
  id: order_by
  job: jobs_order_by
  jobid: order_by
  questionset: order_by
  relateddata: order_by
  response: order_by
  updated_at: order_by
  valid: order_by
  validuntil: order_by
}

# primary key columns input for table: "csi"
input csi_pk_columns_input {
  id: uuid!
}

# prepend existing jsonb value of filtered columns with new jsonb value
input csi_prepend_input {
  relateddata: jsonb
  response: jsonb
}

# select columns of table "csi"
enum csi_select_column {
  # column name
  bodyshopid

  # column name
  completedon

  # column name
  created_at

  # column name
  id

  # column name
  jobid

  # column name
  questionset

  # column name
  relateddata

  # column name
  response

  # column name
  updated_at

  # column name
  valid

  # column name
  validuntil
}

# input type for updating data in table "csi"
input csi_set_input {
  bodyshopid: uuid
  completedon: timestamptz
  created_at: timestamptz
  id: uuid
  jobid: uuid
  questionset: uuid
  relateddata: jsonb
  response: jsonb
  updated_at: timestamptz
  valid: Boolean
  validuntil: date
}

# update columns of table "csi"
enum csi_update_column {
  # column name
  bodyshopid

  # column name
  completedon

  # column name
  created_at

  # column name
  id

  # column name
  jobid

  # column name
  questionset

  # column name
  relateddata

  # column name
  response

  # column name
  updated_at

  # column name
  valid

  # column name
  validuntil
}

# columns and relationships of "csiquestions"
type csiquestions {
  # An object relationship
  bodyshop: bodyshops!
  bodyshopid: uuid!
  config(
    # JSON select path
    path: String
  ): jsonb
  created_at: timestamptz!

  # An array relationship
  csis(
    # distinct select on columns
    distinct_on: [csi_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csi_order_by!]

    # filter the rows returned
    where: csi_bool_exp
  ): [csi!]!

  # An aggregated array relationship
  csis_aggregate(
    # distinct select on columns
    distinct_on: [csi_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csi_order_by!]

    # filter the rows returned
    where: csi_bool_exp
  ): csi_aggregate!
  current: Boolean!
  id: uuid!
  updated_at: timestamptz!
}

# aggregated selection of "csiquestions"
type csiquestions_aggregate {
  aggregate: csiquestions_aggregate_fields
  nodes: [csiquestions!]!
}

# aggregate fields of "csiquestions"
type csiquestions_aggregate_fields {
  count(columns: [csiquestions_select_column!], distinct: Boolean): Int
  max: csiquestions_max_fields
  min: csiquestions_min_fields
}

# order by aggregate values of table "csiquestions"
input csiquestions_aggregate_order_by {
  count: order_by
  max: csiquestions_max_order_by
  min: csiquestions_min_order_by
}

# append existing jsonb value of filtered columns with new jsonb value
input csiquestions_append_input {
  config: jsonb
}

# input type for inserting array relation for remote table "csiquestions"
input csiquestions_arr_rel_insert_input {
  data: [csiquestions_insert_input!]!
  on_conflict: csiquestions_on_conflict
}

# Boolean expression to filter rows from the table "csiquestions". All fields are combined with a logical 'AND'.
input csiquestions_bool_exp {
  _and: [csiquestions_bool_exp]
  _not: csiquestions_bool_exp
  _or: [csiquestions_bool_exp]
  bodyshop: bodyshops_bool_exp
  bodyshopid: uuid_comparison_exp
  config: jsonb_comparison_exp
  created_at: timestamptz_comparison_exp
  csis: csi_bool_exp
  current: Boolean_comparison_exp
  id: uuid_comparison_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "csiquestions"
enum csiquestions_constraint {
  # unique or primary key constraint
  csiquestion_pkey
}

# delete the field or element with specified path (for JSON arrays, negative integers count from the end)
input csiquestions_delete_at_path_input {
  config: [String]
}

# delete the array element with specified index (negative integers count from the
# end). throws an error if top level container is not an array
input csiquestions_delete_elem_input {
  config: Int
}

# delete key/value pair or string element. key/value pairs are matched based on their key value
input csiquestions_delete_key_input {
  config: String
}

# input type for inserting data into table "csiquestions"
input csiquestions_insert_input {
  bodyshop: bodyshops_obj_rel_insert_input
  bodyshopid: uuid
  config: jsonb
  created_at: timestamptz
  csis: csi_arr_rel_insert_input
  current: Boolean
  id: uuid
  updated_at: timestamptz
}

# aggregate max on columns
type csiquestions_max_fields {
  bodyshopid: uuid
  created_at: timestamptz
  id: uuid
  updated_at: timestamptz
}

# order by max() on columns of table "csiquestions"
input csiquestions_max_order_by {
  bodyshopid: order_by
  created_at: order_by
  id: order_by
  updated_at: order_by
}

# aggregate min on columns
type csiquestions_min_fields {
  bodyshopid: uuid
  created_at: timestamptz
  id: uuid
  updated_at: timestamptz
}

# order by min() on columns of table "csiquestions"
input csiquestions_min_order_by {
  bodyshopid: order_by
  created_at: order_by
  id: order_by
  updated_at: order_by
}

# response of any mutation on the table "csiquestions"
type csiquestions_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [csiquestions!]!
}

# input type for inserting object relation for remote table "csiquestions"
input csiquestions_obj_rel_insert_input {
  data: csiquestions_insert_input!
  on_conflict: csiquestions_on_conflict
}

# on conflict condition type for table "csiquestions"
input csiquestions_on_conflict {
  constraint: csiquestions_constraint!
  update_columns: [csiquestions_update_column!]!
  where: csiquestions_bool_exp
}

# ordering options when selecting data from "csiquestions"
input csiquestions_order_by {
  bodyshop: bodyshops_order_by
  bodyshopid: order_by
  config: order_by
  created_at: order_by
  csis_aggregate: csi_aggregate_order_by
  current: order_by
  id: order_by
  updated_at: order_by
}

# primary key columns input for table: "csiquestions"
input csiquestions_pk_columns_input {
  id: uuid!
}

# prepend existing jsonb value of filtered columns with new jsonb value
input csiquestions_prepend_input {
  config: jsonb
}

# select columns of table "csiquestions"
enum csiquestions_select_column {
  # column name
  bodyshopid

  # column name
  config

  # column name
  created_at

  # column name
  current

  # column name
  id

  # column name
  updated_at
}

# input type for updating data in table "csiquestions"
input csiquestions_set_input {
  bodyshopid: uuid
  config: jsonb
  created_at: timestamptz
  current: Boolean
  id: uuid
  updated_at: timestamptz
}

# update columns of table "csiquestions"
enum csiquestions_update_column {
  # column name
  bodyshopid

  # column name
  config

  # column name
  created_at

  # column name
  current

  # column name
  id

  # column name
  updated_at
}

scalar date

# expression to compare columns of type date. All fields are combined with logical 'AND'.
input date_comparison_exp {
  _eq: date
  _gt: date
  _gte: date
  _in: [date!]
  _is_null: Boolean
  _lt: date
  _lte: date
  _neq: date
  _nin: [date!]
}

# columns and relationships of "documents"
type documents {
  created_at: timestamptz!
  id: uuid!

  # An object relationship
  invoice: invoices
  invoiceid: uuid

  # An object relationship
  job: jobs!
  jobid: uuid!
  key: String!
  name: String
  type: String
  updated_at: timestamptz!
  uploaded_by: String!
}

# aggregated selection of "documents"
type documents_aggregate {
  aggregate: documents_aggregate_fields
  nodes: [documents!]!
}

# aggregate fields of "documents"
type documents_aggregate_fields {
  count(columns: [documents_select_column!], distinct: Boolean): Int
  max: documents_max_fields
  min: documents_min_fields
}

# order by aggregate values of table "documents"
input documents_aggregate_order_by {
  count: order_by
  max: documents_max_order_by
  min: documents_min_order_by
}

# input type for inserting array relation for remote table "documents"
input documents_arr_rel_insert_input {
  data: [documents_insert_input!]!
  on_conflict: documents_on_conflict
}

# Boolean expression to filter rows from the table "documents". All fields are combined with a logical 'AND'.
input documents_bool_exp {
  _and: [documents_bool_exp]
  _not: documents_bool_exp
  _or: [documents_bool_exp]
  created_at: timestamptz_comparison_exp
  id: uuid_comparison_exp
  invoice: invoices_bool_exp
  invoiceid: uuid_comparison_exp
  job: jobs_bool_exp
  jobid: uuid_comparison_exp
  key: String_comparison_exp
  name: String_comparison_exp
  type: String_comparison_exp
  updated_at: timestamptz_comparison_exp
  uploaded_by: String_comparison_exp
}

# unique or primary key constraints on table "documents"
enum documents_constraint {
  # unique or primary key constraint
  documents_pkey
}

# input type for inserting data into table "documents"
input documents_insert_input {
  created_at: timestamptz
  id: uuid
  invoice: invoices_obj_rel_insert_input
  invoiceid: uuid
  job: jobs_obj_rel_insert_input
  jobid: uuid
  key: String
  name: String
  type: String
  updated_at: timestamptz
  uploaded_by: String
}

# aggregate max on columns
type documents_max_fields {
  created_at: timestamptz
  id: uuid
  invoiceid: uuid
  jobid: uuid
  key: String
  name: String
  type: String
  updated_at: timestamptz
  uploaded_by: String
}

# order by max() on columns of table "documents"
input documents_max_order_by {
  created_at: order_by
  id: order_by
  invoiceid: order_by
  jobid: order_by
  key: order_by
  name: order_by
  type: order_by
  updated_at: order_by
  uploaded_by: order_by
}

# aggregate min on columns
type documents_min_fields {
  created_at: timestamptz
  id: uuid
  invoiceid: uuid
  jobid: uuid
  key: String
  name: String
  type: String
  updated_at: timestamptz
  uploaded_by: String
}

# order by min() on columns of table "documents"
input documents_min_order_by {
  created_at: order_by
  id: order_by
  invoiceid: order_by
  jobid: order_by
  key: order_by
  name: order_by
  type: order_by
  updated_at: order_by
  uploaded_by: order_by
}

# response of any mutation on the table "documents"
type documents_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [documents!]!
}

# input type for inserting object relation for remote table "documents"
input documents_obj_rel_insert_input {
  data: documents_insert_input!
  on_conflict: documents_on_conflict
}

# on conflict condition type for table "documents"
input documents_on_conflict {
  constraint: documents_constraint!
  update_columns: [documents_update_column!]!
  where: documents_bool_exp
}

# ordering options when selecting data from "documents"
input documents_order_by {
  created_at: order_by
  id: order_by
  invoice: invoices_order_by
  invoiceid: order_by
  job: jobs_order_by
  jobid: order_by
  key: order_by
  name: order_by
  type: order_by
  updated_at: order_by
  uploaded_by: order_by
}

# primary key columns input for table: "documents"
input documents_pk_columns_input {
  id: uuid!
}

# select columns of table "documents"
enum documents_select_column {
  # column name
  created_at

  # column name
  id

  # column name
  invoiceid

  # column name
  jobid

  # column name
  key

  # column name
  name

  # column name
  type

  # column name
  updated_at

  # column name
  uploaded_by
}

# input type for updating data in table "documents"
input documents_set_input {
  created_at: timestamptz
  id: uuid
  invoiceid: uuid
  jobid: uuid
  key: String
  name: String
  type: String
  updated_at: timestamptz
  uploaded_by: String
}

# update columns of table "documents"
enum documents_update_column {
  # column name
  created_at

  # column name
  id

  # column name
  invoiceid

  # column name
  jobid

  # column name
  key

  # column name
  name

  # column name
  type

  # column name
  updated_at

  # column name
  uploaded_by
}

# columns and relationships of "employees"
type employees {
  active: Boolean!

  # An array relationship
  allocations(
    # distinct select on columns
    distinct_on: [allocations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [allocations_order_by!]

    # filter the rows returned
    where: allocations_bool_exp
  ): [allocations!]!

  # An aggregated array relationship
  allocations_aggregate(
    # distinct select on columns
    distinct_on: [allocations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [allocations_order_by!]

    # filter the rows returned
    where: allocations_bool_exp
  ): allocations_aggregate!
  base_rate: numeric!

  # An object relationship
  bodyshop: bodyshops!
  cost_center: String!
  created_at: timestamptz!
  employee_number: String
  first_name: String!
  flat_rate: Boolean!
  hire_date: date
  id: uuid!

  # An array relationship
  jobs(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): [jobs!]!

  # An array relationship
  jobsByEmployeePrep(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): [jobs!]!

  # An aggregated array relationship
  jobsByEmployeePrep_aggregate(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): jobs_aggregate!

  # An array relationship
  jobsByEmployeeRefinish(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): [jobs!]!

  # An aggregated array relationship
  jobsByEmployeeRefinish_aggregate(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): jobs_aggregate!

  # An aggregated array relationship
  jobs_aggregate(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): jobs_aggregate!
  last_name: String!
  pin: String
  shopid: uuid!
  termination_date: date

  # An array relationship
  timetickets(
    # distinct select on columns
    distinct_on: [timetickets_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [timetickets_order_by!]

    # filter the rows returned
    where: timetickets_bool_exp
  ): [timetickets!]!

  # An aggregated array relationship
  timetickets_aggregate(
    # distinct select on columns
    distinct_on: [timetickets_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [timetickets_order_by!]

    # filter the rows returned
    where: timetickets_bool_exp
  ): timetickets_aggregate!
  updated_at: timestamptz!

  # An object relationship
  user: users
  user_email: String
}

# aggregated selection of "employees"
type employees_aggregate {
  aggregate: employees_aggregate_fields
  nodes: [employees!]!
}

# aggregate fields of "employees"
type employees_aggregate_fields {
  avg: employees_avg_fields
  count(columns: [employees_select_column!], distinct: Boolean): Int
  max: employees_max_fields
  min: employees_min_fields
  stddev: employees_stddev_fields
  stddev_pop: employees_stddev_pop_fields
  stddev_samp: employees_stddev_samp_fields
  sum: employees_sum_fields
  var_pop: employees_var_pop_fields
  var_samp: employees_var_samp_fields
  variance: employees_variance_fields
}

# order by aggregate values of table "employees"
input employees_aggregate_order_by {
  avg: employees_avg_order_by
  count: order_by
  max: employees_max_order_by
  min: employees_min_order_by
  stddev: employees_stddev_order_by
  stddev_pop: employees_stddev_pop_order_by
  stddev_samp: employees_stddev_samp_order_by
  sum: employees_sum_order_by
  var_pop: employees_var_pop_order_by
  var_samp: employees_var_samp_order_by
  variance: employees_variance_order_by
}

# input type for inserting array relation for remote table "employees"
input employees_arr_rel_insert_input {
  data: [employees_insert_input!]!
  on_conflict: employees_on_conflict
}

# aggregate avg on columns
type employees_avg_fields {
  base_rate: Float
}

# order by avg() on columns of table "employees"
input employees_avg_order_by {
  base_rate: order_by
}

# Boolean expression to filter rows from the table "employees". All fields are combined with a logical 'AND'.
input employees_bool_exp {
  _and: [employees_bool_exp]
  _not: employees_bool_exp
  _or: [employees_bool_exp]
  active: Boolean_comparison_exp
  allocations: allocations_bool_exp
  base_rate: numeric_comparison_exp
  bodyshop: bodyshops_bool_exp
  cost_center: String_comparison_exp
  created_at: timestamptz_comparison_exp
  employee_number: String_comparison_exp
  first_name: String_comparison_exp
  flat_rate: Boolean_comparison_exp
  hire_date: date_comparison_exp
  id: uuid_comparison_exp
  jobs: jobs_bool_exp
  jobsByEmployeePrep: jobs_bool_exp
  jobsByEmployeeRefinish: jobs_bool_exp
  last_name: String_comparison_exp
  pin: String_comparison_exp
  shopid: uuid_comparison_exp
  termination_date: date_comparison_exp
  timetickets: timetickets_bool_exp
  updated_at: timestamptz_comparison_exp
  user: users_bool_exp
  user_email: String_comparison_exp
}

# unique or primary key constraints on table "employees"
enum employees_constraint {
  # unique or primary key constraint
  employees_pkey

  # unique or primary key constraint
  employees_user_email_key
}

# input type for incrementing integer column in table "employees"
input employees_inc_input {
  base_rate: numeric
}

# input type for inserting data into table "employees"
input employees_insert_input {
  active: Boolean
  allocations: allocations_arr_rel_insert_input
  base_rate: numeric
  bodyshop: bodyshops_obj_rel_insert_input
  cost_center: String
  created_at: timestamptz
  employee_number: String
  first_name: String
  flat_rate: Boolean
  hire_date: date
  id: uuid
  jobs: jobs_arr_rel_insert_input
  jobsByEmployeePrep: jobs_arr_rel_insert_input
  jobsByEmployeeRefinish: jobs_arr_rel_insert_input
  last_name: String
  pin: String
  shopid: uuid
  termination_date: date
  timetickets: timetickets_arr_rel_insert_input
  updated_at: timestamptz
  user: users_obj_rel_insert_input
  user_email: String
}

# aggregate max on columns
type employees_max_fields {
  base_rate: numeric
  cost_center: String
  created_at: timestamptz
  employee_number: String
  first_name: String
  hire_date: date
  id: uuid
  last_name: String
  pin: String
  shopid: uuid
  termination_date: date
  updated_at: timestamptz
  user_email: String
}

# order by max() on columns of table "employees"
input employees_max_order_by {
  base_rate: order_by
  cost_center: order_by
  created_at: order_by
  employee_number: order_by
  first_name: order_by
  hire_date: order_by
  id: order_by
  last_name: order_by
  pin: order_by
  shopid: order_by
  termination_date: order_by
  updated_at: order_by
  user_email: order_by
}

# aggregate min on columns
type employees_min_fields {
  base_rate: numeric
  cost_center: String
  created_at: timestamptz
  employee_number: String
  first_name: String
  hire_date: date
  id: uuid
  last_name: String
  pin: String
  shopid: uuid
  termination_date: date
  updated_at: timestamptz
  user_email: String
}

# order by min() on columns of table "employees"
input employees_min_order_by {
  base_rate: order_by
  cost_center: order_by
  created_at: order_by
  employee_number: order_by
  first_name: order_by
  hire_date: order_by
  id: order_by
  last_name: order_by
  pin: order_by
  shopid: order_by
  termination_date: order_by
  updated_at: order_by
  user_email: order_by
}

# response of any mutation on the table "employees"
type employees_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [employees!]!
}

# input type for inserting object relation for remote table "employees"
input employees_obj_rel_insert_input {
  data: employees_insert_input!
  on_conflict: employees_on_conflict
}

# on conflict condition type for table "employees"
input employees_on_conflict {
  constraint: employees_constraint!
  update_columns: [employees_update_column!]!
  where: employees_bool_exp
}

# ordering options when selecting data from "employees"
input employees_order_by {
  active: order_by
  allocations_aggregate: allocations_aggregate_order_by
  base_rate: order_by
  bodyshop: bodyshops_order_by
  cost_center: order_by
  created_at: order_by
  employee_number: order_by
  first_name: order_by
  flat_rate: order_by
  hire_date: order_by
  id: order_by
  jobsByEmployeePrep_aggregate: jobs_aggregate_order_by
  jobsByEmployeeRefinish_aggregate: jobs_aggregate_order_by
  jobs_aggregate: jobs_aggregate_order_by
  last_name: order_by
  pin: order_by
  shopid: order_by
  termination_date: order_by
  timetickets_aggregate: timetickets_aggregate_order_by
  updated_at: order_by
  user: users_order_by
  user_email: order_by
}

# primary key columns input for table: "employees"
input employees_pk_columns_input {
  id: uuid!
}

# select columns of table "employees"
enum employees_select_column {
  # column name
  active

  # column name
  base_rate

  # column name
  cost_center

  # column name
  created_at

  # column name
  employee_number

  # column name
  first_name

  # column name
  flat_rate

  # column name
  hire_date

  # column name
  id

  # column name
  last_name

  # column name
  pin

  # column name
  shopid

  # column name
  termination_date

  # column name
  updated_at

  # column name
  user_email
}

# input type for updating data in table "employees"
input employees_set_input {
  active: Boolean
  base_rate: numeric
  cost_center: String
  created_at: timestamptz
  employee_number: String
  first_name: String
  flat_rate: Boolean
  hire_date: date
  id: uuid
  last_name: String
  pin: String
  shopid: uuid
  termination_date: date
  updated_at: timestamptz
  user_email: String
}

# aggregate stddev on columns
type employees_stddev_fields {
  base_rate: Float
}

# order by stddev() on columns of table "employees"
input employees_stddev_order_by {
  base_rate: order_by
}

# aggregate stddev_pop on columns
type employees_stddev_pop_fields {
  base_rate: Float
}

# order by stddev_pop() on columns of table "employees"
input employees_stddev_pop_order_by {
  base_rate: order_by
}

# aggregate stddev_samp on columns
type employees_stddev_samp_fields {
  base_rate: Float
}

# order by stddev_samp() on columns of table "employees"
input employees_stddev_samp_order_by {
  base_rate: order_by
}

# aggregate sum on columns
type employees_sum_fields {
  base_rate: numeric
}

# order by sum() on columns of table "employees"
input employees_sum_order_by {
  base_rate: order_by
}

# update columns of table "employees"
enum employees_update_column {
  # column name
  active

  # column name
  base_rate

  # column name
  cost_center

  # column name
  created_at

  # column name
  employee_number

  # column name
  first_name

  # column name
  flat_rate

  # column name
  hire_date

  # column name
  id

  # column name
  last_name

  # column name
  pin

  # column name
  shopid

  # column name
  termination_date

  # column name
  updated_at

  # column name
  user_email
}

# aggregate var_pop on columns
type employees_var_pop_fields {
  base_rate: Float
}

# order by var_pop() on columns of table "employees"
input employees_var_pop_order_by {
  base_rate: order_by
}

# aggregate var_samp on columns
type employees_var_samp_fields {
  base_rate: Float
}

# order by var_samp() on columns of table "employees"
input employees_var_samp_order_by {
  base_rate: order_by
}

# aggregate variance on columns
type employees_variance_fields {
  base_rate: Float
}

# order by variance() on columns of table "employees"
input employees_variance_order_by {
  base_rate: order_by
}

# expression to compare columns of type Int. All fields are combined with logical 'AND'.
input Int_comparison_exp {
  _eq: Int
  _gt: Int
  _gte: Int
  _in: [Int!]
  _is_null: Boolean
  _lt: Int
  _lte: Int
  _neq: Int
  _nin: [Int!]
}

# columns and relationships of "invoicelines"
type invoicelines {
  actual_cost: numeric!
  actual_price: numeric!
  applicable_taxes(
    # JSON select path
    path: String
  ): jsonb
  cost_center: String!
  created_at: timestamptz!
  id: uuid!

  # An object relationship
  invoice: invoices!
  invoiceid: uuid!
  joblineid: uuid
  line_desc: String
  quantity: Int!
  updated_at: timestamptz!
}

# aggregated selection of "invoicelines"
type invoicelines_aggregate {
  aggregate: invoicelines_aggregate_fields
  nodes: [invoicelines!]!
}

# aggregate fields of "invoicelines"
type invoicelines_aggregate_fields {
  avg: invoicelines_avg_fields
  count(columns: [invoicelines_select_column!], distinct: Boolean): Int
  max: invoicelines_max_fields
  min: invoicelines_min_fields
  stddev: invoicelines_stddev_fields
  stddev_pop: invoicelines_stddev_pop_fields
  stddev_samp: invoicelines_stddev_samp_fields
  sum: invoicelines_sum_fields
  var_pop: invoicelines_var_pop_fields
  var_samp: invoicelines_var_samp_fields
  variance: invoicelines_variance_fields
}

# order by aggregate values of table "invoicelines"
input invoicelines_aggregate_order_by {
  avg: invoicelines_avg_order_by
  count: order_by
  max: invoicelines_max_order_by
  min: invoicelines_min_order_by
  stddev: invoicelines_stddev_order_by
  stddev_pop: invoicelines_stddev_pop_order_by
  stddev_samp: invoicelines_stddev_samp_order_by
  sum: invoicelines_sum_order_by
  var_pop: invoicelines_var_pop_order_by
  var_samp: invoicelines_var_samp_order_by
  variance: invoicelines_variance_order_by
}

# append existing jsonb value of filtered columns with new jsonb value
input invoicelines_append_input {
  applicable_taxes: jsonb
}

# input type for inserting array relation for remote table "invoicelines"
input invoicelines_arr_rel_insert_input {
  data: [invoicelines_insert_input!]!
  on_conflict: invoicelines_on_conflict
}

# aggregate avg on columns
type invoicelines_avg_fields {
  actual_cost: Float
  actual_price: Float
  quantity: Float
}

# order by avg() on columns of table "invoicelines"
input invoicelines_avg_order_by {
  actual_cost: order_by
  actual_price: order_by
  quantity: order_by
}

# Boolean expression to filter rows from the table "invoicelines". All fields are combined with a logical 'AND'.
input invoicelines_bool_exp {
  _and: [invoicelines_bool_exp]
  _not: invoicelines_bool_exp
  _or: [invoicelines_bool_exp]
  actual_cost: numeric_comparison_exp
  actual_price: numeric_comparison_exp
  applicable_taxes: jsonb_comparison_exp
  cost_center: String_comparison_exp
  created_at: timestamptz_comparison_exp
  id: uuid_comparison_exp
  invoice: invoices_bool_exp
  invoiceid: uuid_comparison_exp
  joblineid: uuid_comparison_exp
  line_desc: String_comparison_exp
  quantity: Int_comparison_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "invoicelines"
enum invoicelines_constraint {
  # unique or primary key constraint
  invoicelines_pkey
}

# delete the field or element with specified path (for JSON arrays, negative integers count from the end)
input invoicelines_delete_at_path_input {
  applicable_taxes: [String]
}

# delete the array element with specified index (negative integers count from the
# end). throws an error if top level container is not an array
input invoicelines_delete_elem_input {
  applicable_taxes: Int
}

# delete key/value pair or string element. key/value pairs are matched based on their key value
input invoicelines_delete_key_input {
  applicable_taxes: String
}

# input type for incrementing integer column in table "invoicelines"
input invoicelines_inc_input {
  actual_cost: numeric
  actual_price: numeric
  quantity: Int
}

# input type for inserting data into table "invoicelines"
input invoicelines_insert_input {
  actual_cost: numeric
  actual_price: numeric
  applicable_taxes: jsonb
  cost_center: String
  created_at: timestamptz
  id: uuid
  invoice: invoices_obj_rel_insert_input
  invoiceid: uuid
  joblineid: uuid
  line_desc: String
  quantity: Int
  updated_at: timestamptz
}

# aggregate max on columns
type invoicelines_max_fields {
  actual_cost: numeric
  actual_price: numeric
  cost_center: String
  created_at: timestamptz
  id: uuid
  invoiceid: uuid
  joblineid: uuid
  line_desc: String
  quantity: Int
  updated_at: timestamptz
}

# order by max() on columns of table "invoicelines"
input invoicelines_max_order_by {
  actual_cost: order_by
  actual_price: order_by
  cost_center: order_by
  created_at: order_by
  id: order_by
  invoiceid: order_by
  joblineid: order_by
  line_desc: order_by
  quantity: order_by
  updated_at: order_by
}

# aggregate min on columns
type invoicelines_min_fields {
  actual_cost: numeric
  actual_price: numeric
  cost_center: String
  created_at: timestamptz
  id: uuid
  invoiceid: uuid
  joblineid: uuid
  line_desc: String
  quantity: Int
  updated_at: timestamptz
}

# order by min() on columns of table "invoicelines"
input invoicelines_min_order_by {
  actual_cost: order_by
  actual_price: order_by
  cost_center: order_by
  created_at: order_by
  id: order_by
  invoiceid: order_by
  joblineid: order_by
  line_desc: order_by
  quantity: order_by
  updated_at: order_by
}

# response of any mutation on the table "invoicelines"
type invoicelines_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [invoicelines!]!
}

# input type for inserting object relation for remote table "invoicelines"
input invoicelines_obj_rel_insert_input {
  data: invoicelines_insert_input!
  on_conflict: invoicelines_on_conflict
}

# on conflict condition type for table "invoicelines"
input invoicelines_on_conflict {
  constraint: invoicelines_constraint!
  update_columns: [invoicelines_update_column!]!
  where: invoicelines_bool_exp
}

# ordering options when selecting data from "invoicelines"
input invoicelines_order_by {
  actual_cost: order_by
  actual_price: order_by
  applicable_taxes: order_by
  cost_center: order_by
  created_at: order_by
  id: order_by
  invoice: invoices_order_by
  invoiceid: order_by
  joblineid: order_by
  line_desc: order_by
  quantity: order_by
  updated_at: order_by
}

# primary key columns input for table: "invoicelines"
input invoicelines_pk_columns_input {
  id: uuid!
}

# prepend existing jsonb value of filtered columns with new jsonb value
input invoicelines_prepend_input {
  applicable_taxes: jsonb
}

# select columns of table "invoicelines"
enum invoicelines_select_column {
  # column name
  actual_cost

  # column name
  actual_price

  # column name
  applicable_taxes

  # column name
  cost_center

  # column name
  created_at

  # column name
  id

  # column name
  invoiceid

  # column name
  joblineid

  # column name
  line_desc

  # column name
  quantity

  # column name
  updated_at
}

# input type for updating data in table "invoicelines"
input invoicelines_set_input {
  actual_cost: numeric
  actual_price: numeric
  applicable_taxes: jsonb
  cost_center: String
  created_at: timestamptz
  id: uuid
  invoiceid: uuid
  joblineid: uuid
  line_desc: String
  quantity: Int
  updated_at: timestamptz
}

# aggregate stddev on columns
type invoicelines_stddev_fields {
  actual_cost: Float
  actual_price: Float
  quantity: Float
}

# order by stddev() on columns of table "invoicelines"
input invoicelines_stddev_order_by {
  actual_cost: order_by
  actual_price: order_by
  quantity: order_by
}

# aggregate stddev_pop on columns
type invoicelines_stddev_pop_fields {
  actual_cost: Float
  actual_price: Float
  quantity: Float
}

# order by stddev_pop() on columns of table "invoicelines"
input invoicelines_stddev_pop_order_by {
  actual_cost: order_by
  actual_price: order_by
  quantity: order_by
}

# aggregate stddev_samp on columns
type invoicelines_stddev_samp_fields {
  actual_cost: Float
  actual_price: Float
  quantity: Float
}

# order by stddev_samp() on columns of table "invoicelines"
input invoicelines_stddev_samp_order_by {
  actual_cost: order_by
  actual_price: order_by
  quantity: order_by
}

# aggregate sum on columns
type invoicelines_sum_fields {
  actual_cost: numeric
  actual_price: numeric
  quantity: Int
}

# order by sum() on columns of table "invoicelines"
input invoicelines_sum_order_by {
  actual_cost: order_by
  actual_price: order_by
  quantity: order_by
}

# update columns of table "invoicelines"
enum invoicelines_update_column {
  # column name
  actual_cost

  # column name
  actual_price

  # column name
  applicable_taxes

  # column name
  cost_center

  # column name
  created_at

  # column name
  id

  # column name
  invoiceid

  # column name
  joblineid

  # column name
  line_desc

  # column name
  quantity

  # column name
  updated_at
}

# aggregate var_pop on columns
type invoicelines_var_pop_fields {
  actual_cost: Float
  actual_price: Float
  quantity: Float
}

# order by var_pop() on columns of table "invoicelines"
input invoicelines_var_pop_order_by {
  actual_cost: order_by
  actual_price: order_by
  quantity: order_by
}

# aggregate var_samp on columns
type invoicelines_var_samp_fields {
  actual_cost: Float
  actual_price: Float
  quantity: Float
}

# order by var_samp() on columns of table "invoicelines"
input invoicelines_var_samp_order_by {
  actual_cost: order_by
  actual_price: order_by
  quantity: order_by
}

# aggregate variance on columns
type invoicelines_variance_fields {
  actual_cost: Float
  actual_price: Float
  quantity: Float
}

# order by variance() on columns of table "invoicelines"
input invoicelines_variance_order_by {
  actual_cost: order_by
  actual_price: order_by
  quantity: order_by
}

# columns and relationships of "invoices"
type invoices {
  created_at: timestamptz!
  date: date!

  # An array relationship
  documents(
    # distinct select on columns
    distinct_on: [documents_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [documents_order_by!]

    # filter the rows returned
    where: documents_bool_exp
  ): [documents!]!

  # An aggregated array relationship
  documents_aggregate(
    # distinct select on columns
    distinct_on: [documents_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [documents_order_by!]

    # filter the rows returned
    where: documents_bool_exp
  ): documents_aggregate!
  due_date: date
  exported: Boolean!
  exported_at: timestamptz
  federal_tax_rate: numeric!
  id: uuid!
  invoice_number: String!

  # An array relationship
  invoicelines(
    # distinct select on columns
    distinct_on: [invoicelines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoicelines_order_by!]

    # filter the rows returned
    where: invoicelines_bool_exp
  ): [invoicelines!]!

  # An aggregated array relationship
  invoicelines_aggregate(
    # distinct select on columns
    distinct_on: [invoicelines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoicelines_order_by!]

    # filter the rows returned
    where: invoicelines_bool_exp
  ): invoicelines_aggregate!
  is_credit_memo: Boolean!

  # An object relationship
  job: jobs!
  jobid: uuid!
  local_tax_rate: numeric!

  # An array relationship
  parts_orders(
    # distinct select on columns
    distinct_on: [parts_orders_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_orders_order_by!]

    # filter the rows returned
    where: parts_orders_bool_exp
  ): [parts_orders!]!

  # An aggregated array relationship
  parts_orders_aggregate(
    # distinct select on columns
    distinct_on: [parts_orders_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_orders_order_by!]

    # filter the rows returned
    where: parts_orders_bool_exp
  ): parts_orders_aggregate!
  state_tax_rate: numeric!
  total: numeric!
  updated_at: timestamptz!

  # An object relationship
  vendor: vendors!
  vendorid: uuid!
}

# aggregated selection of "invoices"
type invoices_aggregate {
  aggregate: invoices_aggregate_fields
  nodes: [invoices!]!
}

# aggregate fields of "invoices"
type invoices_aggregate_fields {
  avg: invoices_avg_fields
  count(columns: [invoices_select_column!], distinct: Boolean): Int
  max: invoices_max_fields
  min: invoices_min_fields
  stddev: invoices_stddev_fields
  stddev_pop: invoices_stddev_pop_fields
  stddev_samp: invoices_stddev_samp_fields
  sum: invoices_sum_fields
  var_pop: invoices_var_pop_fields
  var_samp: invoices_var_samp_fields
  variance: invoices_variance_fields
}

# order by aggregate values of table "invoices"
input invoices_aggregate_order_by {
  avg: invoices_avg_order_by
  count: order_by
  max: invoices_max_order_by
  min: invoices_min_order_by
  stddev: invoices_stddev_order_by
  stddev_pop: invoices_stddev_pop_order_by
  stddev_samp: invoices_stddev_samp_order_by
  sum: invoices_sum_order_by
  var_pop: invoices_var_pop_order_by
  var_samp: invoices_var_samp_order_by
  variance: invoices_variance_order_by
}

# input type for inserting array relation for remote table "invoices"
input invoices_arr_rel_insert_input {
  data: [invoices_insert_input!]!
  on_conflict: invoices_on_conflict
}

# aggregate avg on columns
type invoices_avg_fields {
  federal_tax_rate: Float
  local_tax_rate: Float
  state_tax_rate: Float
  total: Float
}

# order by avg() on columns of table "invoices"
input invoices_avg_order_by {
  federal_tax_rate: order_by
  local_tax_rate: order_by
  state_tax_rate: order_by
  total: order_by
}

# Boolean expression to filter rows from the table "invoices". All fields are combined with a logical 'AND'.
input invoices_bool_exp {
  _and: [invoices_bool_exp]
  _not: invoices_bool_exp
  _or: [invoices_bool_exp]
  created_at: timestamptz_comparison_exp
  date: date_comparison_exp
  documents: documents_bool_exp
  due_date: date_comparison_exp
  exported: Boolean_comparison_exp
  exported_at: timestamptz_comparison_exp
  federal_tax_rate: numeric_comparison_exp
  id: uuid_comparison_exp
  invoice_number: String_comparison_exp
  invoicelines: invoicelines_bool_exp
  is_credit_memo: Boolean_comparison_exp
  job: jobs_bool_exp
  jobid: uuid_comparison_exp
  local_tax_rate: numeric_comparison_exp
  parts_orders: parts_orders_bool_exp
  state_tax_rate: numeric_comparison_exp
  total: numeric_comparison_exp
  updated_at: timestamptz_comparison_exp
  vendor: vendors_bool_exp
  vendorid: uuid_comparison_exp
}

# unique or primary key constraints on table "invoices"
enum invoices_constraint {
  # unique or primary key constraint
  invoices_pkey
}

# input type for incrementing integer column in table "invoices"
input invoices_inc_input {
  federal_tax_rate: numeric
  local_tax_rate: numeric
  state_tax_rate: numeric
  total: numeric
}

# input type for inserting data into table "invoices"
input invoices_insert_input {
  created_at: timestamptz
  date: date
  documents: documents_arr_rel_insert_input
  due_date: date
  exported: Boolean
  exported_at: timestamptz
  federal_tax_rate: numeric
  id: uuid
  invoice_number: String
  invoicelines: invoicelines_arr_rel_insert_input
  is_credit_memo: Boolean
  job: jobs_obj_rel_insert_input
  jobid: uuid
  local_tax_rate: numeric
  parts_orders: parts_orders_arr_rel_insert_input
  state_tax_rate: numeric
  total: numeric
  updated_at: timestamptz
  vendor: vendors_obj_rel_insert_input
  vendorid: uuid
}

# aggregate max on columns
type invoices_max_fields {
  created_at: timestamptz
  date: date
  due_date: date
  exported_at: timestamptz
  federal_tax_rate: numeric
  id: uuid
  invoice_number: String
  jobid: uuid
  local_tax_rate: numeric
  state_tax_rate: numeric
  total: numeric
  updated_at: timestamptz
  vendorid: uuid
}

# order by max() on columns of table "invoices"
input invoices_max_order_by {
  created_at: order_by
  date: order_by
  due_date: order_by
  exported_at: order_by
  federal_tax_rate: order_by
  id: order_by
  invoice_number: order_by
  jobid: order_by
  local_tax_rate: order_by
  state_tax_rate: order_by
  total: order_by
  updated_at: order_by
  vendorid: order_by
}

# aggregate min on columns
type invoices_min_fields {
  created_at: timestamptz
  date: date
  due_date: date
  exported_at: timestamptz
  federal_tax_rate: numeric
  id: uuid
  invoice_number: String
  jobid: uuid
  local_tax_rate: numeric
  state_tax_rate: numeric
  total: numeric
  updated_at: timestamptz
  vendorid: uuid
}

# order by min() on columns of table "invoices"
input invoices_min_order_by {
  created_at: order_by
  date: order_by
  due_date: order_by
  exported_at: order_by
  federal_tax_rate: order_by
  id: order_by
  invoice_number: order_by
  jobid: order_by
  local_tax_rate: order_by
  state_tax_rate: order_by
  total: order_by
  updated_at: order_by
  vendorid: order_by
}

# response of any mutation on the table "invoices"
type invoices_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [invoices!]!
}

# input type for inserting object relation for remote table "invoices"
input invoices_obj_rel_insert_input {
  data: invoices_insert_input!
  on_conflict: invoices_on_conflict
}

# on conflict condition type for table "invoices"
input invoices_on_conflict {
  constraint: invoices_constraint!
  update_columns: [invoices_update_column!]!
  where: invoices_bool_exp
}

# ordering options when selecting data from "invoices"
input invoices_order_by {
  created_at: order_by
  date: order_by
  documents_aggregate: documents_aggregate_order_by
  due_date: order_by
  exported: order_by
  exported_at: order_by
  federal_tax_rate: order_by
  id: order_by
  invoice_number: order_by
  invoicelines_aggregate: invoicelines_aggregate_order_by
  is_credit_memo: order_by
  job: jobs_order_by
  jobid: order_by
  local_tax_rate: order_by
  parts_orders_aggregate: parts_orders_aggregate_order_by
  state_tax_rate: order_by
  total: order_by
  updated_at: order_by
  vendor: vendors_order_by
  vendorid: order_by
}

# primary key columns input for table: "invoices"
input invoices_pk_columns_input {
  id: uuid!
}

# select columns of table "invoices"
enum invoices_select_column {
  # column name
  created_at

  # column name
  date

  # column name
  due_date

  # column name
  exported

  # column name
  exported_at

  # column name
  federal_tax_rate

  # column name
  id

  # column name
  invoice_number

  # column name
  is_credit_memo

  # column name
  jobid

  # column name
  local_tax_rate

  # column name
  state_tax_rate

  # column name
  total

  # column name
  updated_at

  # column name
  vendorid
}

# input type for updating data in table "invoices"
input invoices_set_input {
  created_at: timestamptz
  date: date
  due_date: date
  exported: Boolean
  exported_at: timestamptz
  federal_tax_rate: numeric
  id: uuid
  invoice_number: String
  is_credit_memo: Boolean
  jobid: uuid
  local_tax_rate: numeric
  state_tax_rate: numeric
  total: numeric
  updated_at: timestamptz
  vendorid: uuid
}

# aggregate stddev on columns
type invoices_stddev_fields {
  federal_tax_rate: Float
  local_tax_rate: Float
  state_tax_rate: Float
  total: Float
}

# order by stddev() on columns of table "invoices"
input invoices_stddev_order_by {
  federal_tax_rate: order_by
  local_tax_rate: order_by
  state_tax_rate: order_by
  total: order_by
}

# aggregate stddev_pop on columns
type invoices_stddev_pop_fields {
  federal_tax_rate: Float
  local_tax_rate: Float
  state_tax_rate: Float
  total: Float
}

# order by stddev_pop() on columns of table "invoices"
input invoices_stddev_pop_order_by {
  federal_tax_rate: order_by
  local_tax_rate: order_by
  state_tax_rate: order_by
  total: order_by
}

# aggregate stddev_samp on columns
type invoices_stddev_samp_fields {
  federal_tax_rate: Float
  local_tax_rate: Float
  state_tax_rate: Float
  total: Float
}

# order by stddev_samp() on columns of table "invoices"
input invoices_stddev_samp_order_by {
  federal_tax_rate: order_by
  local_tax_rate: order_by
  state_tax_rate: order_by
  total: order_by
}

# aggregate sum on columns
type invoices_sum_fields {
  federal_tax_rate: numeric
  local_tax_rate: numeric
  state_tax_rate: numeric
  total: numeric
}

# order by sum() on columns of table "invoices"
input invoices_sum_order_by {
  federal_tax_rate: order_by
  local_tax_rate: order_by
  state_tax_rate: order_by
  total: order_by
}

# update columns of table "invoices"
enum invoices_update_column {
  # column name
  created_at

  # column name
  date

  # column name
  due_date

  # column name
  exported

  # column name
  exported_at

  # column name
  federal_tax_rate

  # column name
  id

  # column name
  invoice_number

  # column name
  is_credit_memo

  # column name
  jobid

  # column name
  local_tax_rate

  # column name
  state_tax_rate

  # column name
  total

  # column name
  updated_at

  # column name
  vendorid
}

# aggregate var_pop on columns
type invoices_var_pop_fields {
  federal_tax_rate: Float
  local_tax_rate: Float
  state_tax_rate: Float
  total: Float
}

# order by var_pop() on columns of table "invoices"
input invoices_var_pop_order_by {
  federal_tax_rate: order_by
  local_tax_rate: order_by
  state_tax_rate: order_by
  total: order_by
}

# aggregate var_samp on columns
type invoices_var_samp_fields {
  federal_tax_rate: Float
  local_tax_rate: Float
  state_tax_rate: Float
  total: Float
}

# order by var_samp() on columns of table "invoices"
input invoices_var_samp_order_by {
  federal_tax_rate: order_by
  local_tax_rate: order_by
  state_tax_rate: order_by
  total: order_by
}

# aggregate variance on columns
type invoices_variance_fields {
  federal_tax_rate: Float
  local_tax_rate: Float
  state_tax_rate: Float
  total: Float
}

# order by variance() on columns of table "invoices"
input invoices_variance_order_by {
  federal_tax_rate: order_by
  local_tax_rate: order_by
  state_tax_rate: order_by
  total: order_by
}

# columns and relationships of "job_conversations"
type job_conversations {
  # An object relationship
  conversation: conversations!
  conversationid: uuid!

  # An object relationship
  job: jobs!
  jobid: uuid!
}

# aggregated selection of "job_conversations"
type job_conversations_aggregate {
  aggregate: job_conversations_aggregate_fields
  nodes: [job_conversations!]!
}

# aggregate fields of "job_conversations"
type job_conversations_aggregate_fields {
  count(columns: [job_conversations_select_column!], distinct: Boolean): Int
  max: job_conversations_max_fields
  min: job_conversations_min_fields
}

# order by aggregate values of table "job_conversations"
input job_conversations_aggregate_order_by {
  count: order_by
  max: job_conversations_max_order_by
  min: job_conversations_min_order_by
}

# input type for inserting array relation for remote table "job_conversations"
input job_conversations_arr_rel_insert_input {
  data: [job_conversations_insert_input!]!
  on_conflict: job_conversations_on_conflict
}

# Boolean expression to filter rows from the table "job_conversations". All fields are combined with a logical 'AND'.
input job_conversations_bool_exp {
  _and: [job_conversations_bool_exp]
  _not: job_conversations_bool_exp
  _or: [job_conversations_bool_exp]
  conversation: conversations_bool_exp
  conversationid: uuid_comparison_exp
  job: jobs_bool_exp
  jobid: uuid_comparison_exp
}

# unique or primary key constraints on table "job_conversations"
enum job_conversations_constraint {
  # unique or primary key constraint
  job_conversations_pkey
}

# input type for inserting data into table "job_conversations"
input job_conversations_insert_input {
  conversation: conversations_obj_rel_insert_input
  conversationid: uuid
  job: jobs_obj_rel_insert_input
  jobid: uuid
}

# aggregate max on columns
type job_conversations_max_fields {
  conversationid: uuid
  jobid: uuid
}

# order by max() on columns of table "job_conversations"
input job_conversations_max_order_by {
  conversationid: order_by
  jobid: order_by
}

# aggregate min on columns
type job_conversations_min_fields {
  conversationid: uuid
  jobid: uuid
}

# order by min() on columns of table "job_conversations"
input job_conversations_min_order_by {
  conversationid: order_by
  jobid: order_by
}

# response of any mutation on the table "job_conversations"
type job_conversations_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [job_conversations!]!
}

# input type for inserting object relation for remote table "job_conversations"
input job_conversations_obj_rel_insert_input {
  data: job_conversations_insert_input!
  on_conflict: job_conversations_on_conflict
}

# on conflict condition type for table "job_conversations"
input job_conversations_on_conflict {
  constraint: job_conversations_constraint!
  update_columns: [job_conversations_update_column!]!
  where: job_conversations_bool_exp
}

# ordering options when selecting data from "job_conversations"
input job_conversations_order_by {
  conversation: conversations_order_by
  conversationid: order_by
  job: jobs_order_by
  jobid: order_by
}

# primary key columns input for table: "job_conversations"
input job_conversations_pk_columns_input {
  conversationid: uuid!
  jobid: uuid!
}

# select columns of table "job_conversations"
enum job_conversations_select_column {
  # column name
  conversationid

  # column name
  jobid
}

# input type for updating data in table "job_conversations"
input job_conversations_set_input {
  conversationid: uuid
  jobid: uuid
}

# update columns of table "job_conversations"
enum job_conversations_update_column {
  # column name
  conversationid

  # column name
  jobid
}

# columns and relationships of "joblines"
type joblines {
  act_price: numeric

  # An array relationship
  allocations(
    # distinct select on columns
    distinct_on: [allocations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [allocations_order_by!]

    # filter the rows returned
    where: allocations_bool_exp
  ): [allocations!]!

  # An aggregated array relationship
  allocations_aggregate(
    # distinct select on columns
    distinct_on: [allocations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [allocations_order_by!]

    # filter the rows returned
    where: allocations_bool_exp
  ): allocations_aggregate!
  alt_co_id: String
  alt_overrd: Boolean
  alt_part_i: Boolean
  alt_partm: String
  alt_partno: String
  bett_amt: numeric
  bett_pctg: numeric
  bett_tax: Boolean
  bett_type: String
  cert_part: Boolean
  created_at: timestamptz!
  db_hrs: numeric
  db_price: numeric
  db_ref: String
  est_seq: Int
  glass_flag: Boolean
  id: uuid!

  # An object relationship
  job: jobs!
  jobid: uuid!
  lbr_amt: numeric
  lbr_hrs_j: Boolean
  lbr_inc: Boolean
  lbr_op: String
  lbr_op_j: Boolean
  lbr_tax: Boolean
  lbr_typ_j: Boolean
  line_desc: String
  line_ind: String
  line_no: Int
  line_ref: numeric
  location: String
  misc_amt: numeric
  misc_sublt: Boolean
  misc_tax: Boolean
  mod_lb_hrs: numeric
  mod_lbr_ty: String
  notes: String
  oem_partno: String
  op_code_desc: String
  paint_stg: Int
  paint_tone: Int
  part_qty: Int
  part_type: String

  # An array relationship
  parts_order_lines(
    # distinct select on columns
    distinct_on: [parts_order_lines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_order_lines_order_by!]

    # filter the rows returned
    where: parts_order_lines_bool_exp
  ): [parts_order_lines!]!

  # An aggregated array relationship
  parts_order_lines_aggregate(
    # distinct select on columns
    distinct_on: [parts_order_lines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_order_lines_order_by!]

    # filter the rows returned
    where: parts_order_lines_bool_exp
  ): parts_order_lines_aggregate!
  price_inc: Boolean
  price_j: Boolean
  prt_dsmk_m: numeric
  prt_dsmk_p: numeric
  removed: Boolean!
  status: String
  tax_part: Boolean!
  unq_seq: Int
  updated_at: timestamptz!
}

# aggregated selection of "joblines"
type joblines_aggregate {
  aggregate: joblines_aggregate_fields
  nodes: [joblines!]!
}

# aggregate fields of "joblines"
type joblines_aggregate_fields {
  avg: joblines_avg_fields
  count(columns: [joblines_select_column!], distinct: Boolean): Int
  max: joblines_max_fields
  min: joblines_min_fields
  stddev: joblines_stddev_fields
  stddev_pop: joblines_stddev_pop_fields
  stddev_samp: joblines_stddev_samp_fields
  sum: joblines_sum_fields
  var_pop: joblines_var_pop_fields
  var_samp: joblines_var_samp_fields
  variance: joblines_variance_fields
}

# order by aggregate values of table "joblines"
input joblines_aggregate_order_by {
  avg: joblines_avg_order_by
  count: order_by
  max: joblines_max_order_by
  min: joblines_min_order_by
  stddev: joblines_stddev_order_by
  stddev_pop: joblines_stddev_pop_order_by
  stddev_samp: joblines_stddev_samp_order_by
  sum: joblines_sum_order_by
  var_pop: joblines_var_pop_order_by
  var_samp: joblines_var_samp_order_by
  variance: joblines_variance_order_by
}

# input type for inserting array relation for remote table "joblines"
input joblines_arr_rel_insert_input {
  data: [joblines_insert_input!]!
  on_conflict: joblines_on_conflict
}

# aggregate avg on columns
type joblines_avg_fields {
  act_price: Float
  bett_amt: Float
  bett_pctg: Float
  db_hrs: Float
  db_price: Float
  est_seq: Float
  lbr_amt: Float
  line_no: Float
  line_ref: Float
  misc_amt: Float
  mod_lb_hrs: Float
  paint_stg: Float
  paint_tone: Float
  part_qty: Float
  prt_dsmk_m: Float
  prt_dsmk_p: Float
  unq_seq: Float
}

# order by avg() on columns of table "joblines"
input joblines_avg_order_by {
  act_price: order_by
  bett_amt: order_by
  bett_pctg: order_by
  db_hrs: order_by
  db_price: order_by
  est_seq: order_by
  lbr_amt: order_by
  line_no: order_by
  line_ref: order_by
  misc_amt: order_by
  mod_lb_hrs: order_by
  paint_stg: order_by
  paint_tone: order_by
  part_qty: order_by
  prt_dsmk_m: order_by
  prt_dsmk_p: order_by
  unq_seq: order_by
}

# Boolean expression to filter rows from the table "joblines". All fields are combined with a logical 'AND'.
input joblines_bool_exp {
  _and: [joblines_bool_exp]
  _not: joblines_bool_exp
  _or: [joblines_bool_exp]
  act_price: numeric_comparison_exp
  allocations: allocations_bool_exp
  alt_co_id: String_comparison_exp
  alt_overrd: Boolean_comparison_exp
  alt_part_i: Boolean_comparison_exp
  alt_partm: String_comparison_exp
  alt_partno: String_comparison_exp
  bett_amt: numeric_comparison_exp
  bett_pctg: numeric_comparison_exp
  bett_tax: Boolean_comparison_exp
  bett_type: String_comparison_exp
  cert_part: Boolean_comparison_exp
  created_at: timestamptz_comparison_exp
  db_hrs: numeric_comparison_exp
  db_price: numeric_comparison_exp
  db_ref: String_comparison_exp
  est_seq: Int_comparison_exp
  glass_flag: Boolean_comparison_exp
  id: uuid_comparison_exp
  job: jobs_bool_exp
  jobid: uuid_comparison_exp
  lbr_amt: numeric_comparison_exp
  lbr_hrs_j: Boolean_comparison_exp
  lbr_inc: Boolean_comparison_exp
  lbr_op: String_comparison_exp
  lbr_op_j: Boolean_comparison_exp
  lbr_tax: Boolean_comparison_exp
  lbr_typ_j: Boolean_comparison_exp
  line_desc: String_comparison_exp
  line_ind: String_comparison_exp
  line_no: Int_comparison_exp
  line_ref: numeric_comparison_exp
  location: String_comparison_exp
  misc_amt: numeric_comparison_exp
  misc_sublt: Boolean_comparison_exp
  misc_tax: Boolean_comparison_exp
  mod_lb_hrs: numeric_comparison_exp
  mod_lbr_ty: String_comparison_exp
  notes: String_comparison_exp
  oem_partno: String_comparison_exp
  op_code_desc: String_comparison_exp
  paint_stg: Int_comparison_exp
  paint_tone: Int_comparison_exp
  part_qty: Int_comparison_exp
  part_type: String_comparison_exp
  parts_order_lines: parts_order_lines_bool_exp
  price_inc: Boolean_comparison_exp
  price_j: Boolean_comparison_exp
  prt_dsmk_m: numeric_comparison_exp
  prt_dsmk_p: numeric_comparison_exp
  removed: Boolean_comparison_exp
  status: String_comparison_exp
  tax_part: Boolean_comparison_exp
  unq_seq: Int_comparison_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "joblines"
enum joblines_constraint {
  # unique or primary key constraint
  joblines_pkey
}

# input type for incrementing integer column in table "joblines"
input joblines_inc_input {
  act_price: numeric
  bett_amt: numeric
  bett_pctg: numeric
  db_hrs: numeric
  db_price: numeric
  est_seq: Int
  lbr_amt: numeric
  line_no: Int
  line_ref: numeric
  misc_amt: numeric
  mod_lb_hrs: numeric
  paint_stg: Int
  paint_tone: Int
  part_qty: Int
  prt_dsmk_m: numeric
  prt_dsmk_p: numeric
  unq_seq: Int
}

# input type for inserting data into table "joblines"
input joblines_insert_input {
  act_price: numeric
  allocations: allocations_arr_rel_insert_input
  alt_co_id: String
  alt_overrd: Boolean
  alt_part_i: Boolean
  alt_partm: String
  alt_partno: String
  bett_amt: numeric
  bett_pctg: numeric
  bett_tax: Boolean
  bett_type: String
  cert_part: Boolean
  created_at: timestamptz
  db_hrs: numeric
  db_price: numeric
  db_ref: String
  est_seq: Int
  glass_flag: Boolean
  id: uuid
  job: jobs_obj_rel_insert_input
  jobid: uuid
  lbr_amt: numeric
  lbr_hrs_j: Boolean
  lbr_inc: Boolean
  lbr_op: String
  lbr_op_j: Boolean
  lbr_tax: Boolean
  lbr_typ_j: Boolean
  line_desc: String
  line_ind: String
  line_no: Int
  line_ref: numeric
  location: String
  misc_amt: numeric
  misc_sublt: Boolean
  misc_tax: Boolean
  mod_lb_hrs: numeric
  mod_lbr_ty: String
  notes: String
  oem_partno: String
  op_code_desc: String
  paint_stg: Int
  paint_tone: Int
  part_qty: Int
  part_type: String
  parts_order_lines: parts_order_lines_arr_rel_insert_input
  price_inc: Boolean
  price_j: Boolean
  prt_dsmk_m: numeric
  prt_dsmk_p: numeric
  removed: Boolean
  status: String
  tax_part: Boolean
  unq_seq: Int
  updated_at: timestamptz
}

# aggregate max on columns
type joblines_max_fields {
  act_price: numeric
  alt_co_id: String
  alt_partm: String
  alt_partno: String
  bett_amt: numeric
  bett_pctg: numeric
  bett_type: String
  created_at: timestamptz
  db_hrs: numeric
  db_price: numeric
  db_ref: String
  est_seq: Int
  id: uuid
  jobid: uuid
  lbr_amt: numeric
  lbr_op: String
  line_desc: String
  line_ind: String
  line_no: Int
  line_ref: numeric
  location: String
  misc_amt: numeric
  mod_lb_hrs: numeric
  mod_lbr_ty: String
  notes: String
  oem_partno: String
  op_code_desc: String
  paint_stg: Int
  paint_tone: Int
  part_qty: Int
  part_type: String
  prt_dsmk_m: numeric
  prt_dsmk_p: numeric
  status: String
  unq_seq: Int
  updated_at: timestamptz
}

# order by max() on columns of table "joblines"
input joblines_max_order_by {
  act_price: order_by
  alt_co_id: order_by
  alt_partm: order_by
  alt_partno: order_by
  bett_amt: order_by
  bett_pctg: order_by
  bett_type: order_by
  created_at: order_by
  db_hrs: order_by
  db_price: order_by
  db_ref: order_by
  est_seq: order_by
  id: order_by
  jobid: order_by
  lbr_amt: order_by
  lbr_op: order_by
  line_desc: order_by
  line_ind: order_by
  line_no: order_by
  line_ref: order_by
  location: order_by
  misc_amt: order_by
  mod_lb_hrs: order_by
  mod_lbr_ty: order_by
  notes: order_by
  oem_partno: order_by
  op_code_desc: order_by
  paint_stg: order_by
  paint_tone: order_by
  part_qty: order_by
  part_type: order_by
  prt_dsmk_m: order_by
  prt_dsmk_p: order_by
  status: order_by
  unq_seq: order_by
  updated_at: order_by
}

# aggregate min on columns
type joblines_min_fields {
  act_price: numeric
  alt_co_id: String
  alt_partm: String
  alt_partno: String
  bett_amt: numeric
  bett_pctg: numeric
  bett_type: String
  created_at: timestamptz
  db_hrs: numeric
  db_price: numeric
  db_ref: String
  est_seq: Int
  id: uuid
  jobid: uuid
  lbr_amt: numeric
  lbr_op: String
  line_desc: String
  line_ind: String
  line_no: Int
  line_ref: numeric
  location: String
  misc_amt: numeric
  mod_lb_hrs: numeric
  mod_lbr_ty: String
  notes: String
  oem_partno: String
  op_code_desc: String
  paint_stg: Int
  paint_tone: Int
  part_qty: Int
  part_type: String
  prt_dsmk_m: numeric
  prt_dsmk_p: numeric
  status: String
  unq_seq: Int
  updated_at: timestamptz
}

# order by min() on columns of table "joblines"
input joblines_min_order_by {
  act_price: order_by
  alt_co_id: order_by
  alt_partm: order_by
  alt_partno: order_by
  bett_amt: order_by
  bett_pctg: order_by
  bett_type: order_by
  created_at: order_by
  db_hrs: order_by
  db_price: order_by
  db_ref: order_by
  est_seq: order_by
  id: order_by
  jobid: order_by
  lbr_amt: order_by
  lbr_op: order_by
  line_desc: order_by
  line_ind: order_by
  line_no: order_by
  line_ref: order_by
  location: order_by
  misc_amt: order_by
  mod_lb_hrs: order_by
  mod_lbr_ty: order_by
  notes: order_by
  oem_partno: order_by
  op_code_desc: order_by
  paint_stg: order_by
  paint_tone: order_by
  part_qty: order_by
  part_type: order_by
  prt_dsmk_m: order_by
  prt_dsmk_p: order_by
  status: order_by
  unq_seq: order_by
  updated_at: order_by
}

# response of any mutation on the table "joblines"
type joblines_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [joblines!]!
}

# input type for inserting object relation for remote table "joblines"
input joblines_obj_rel_insert_input {
  data: joblines_insert_input!
  on_conflict: joblines_on_conflict
}

# on conflict condition type for table "joblines"
input joblines_on_conflict {
  constraint: joblines_constraint!
  update_columns: [joblines_update_column!]!
  where: joblines_bool_exp
}

# ordering options when selecting data from "joblines"
input joblines_order_by {
  act_price: order_by
  allocations_aggregate: allocations_aggregate_order_by
  alt_co_id: order_by
  alt_overrd: order_by
  alt_part_i: order_by
  alt_partm: order_by
  alt_partno: order_by
  bett_amt: order_by
  bett_pctg: order_by
  bett_tax: order_by
  bett_type: order_by
  cert_part: order_by
  created_at: order_by
  db_hrs: order_by
  db_price: order_by
  db_ref: order_by
  est_seq: order_by
  glass_flag: order_by
  id: order_by
  job: jobs_order_by
  jobid: order_by
  lbr_amt: order_by
  lbr_hrs_j: order_by
  lbr_inc: order_by
  lbr_op: order_by
  lbr_op_j: order_by
  lbr_tax: order_by
  lbr_typ_j: order_by
  line_desc: order_by
  line_ind: order_by
  line_no: order_by
  line_ref: order_by
  location: order_by
  misc_amt: order_by
  misc_sublt: order_by
  misc_tax: order_by
  mod_lb_hrs: order_by
  mod_lbr_ty: order_by
  notes: order_by
  oem_partno: order_by
  op_code_desc: order_by
  paint_stg: order_by
  paint_tone: order_by
  part_qty: order_by
  part_type: order_by
  parts_order_lines_aggregate: parts_order_lines_aggregate_order_by
  price_inc: order_by
  price_j: order_by
  prt_dsmk_m: order_by
  prt_dsmk_p: order_by
  removed: order_by
  status: order_by
  tax_part: order_by
  unq_seq: order_by
  updated_at: order_by
}

# primary key columns input for table: "joblines"
input joblines_pk_columns_input {
  id: uuid!
}

# select columns of table "joblines"
enum joblines_select_column {
  # column name
  act_price

  # column name
  alt_co_id

  # column name
  alt_overrd

  # column name
  alt_part_i

  # column name
  alt_partm

  # column name
  alt_partno

  # column name
  bett_amt

  # column name
  bett_pctg

  # column name
  bett_tax

  # column name
  bett_type

  # column name
  cert_part

  # column name
  created_at

  # column name
  db_hrs

  # column name
  db_price

  # column name
  db_ref

  # column name
  est_seq

  # column name
  glass_flag

  # column name
  id

  # column name
  jobid

  # column name
  lbr_amt

  # column name
  lbr_hrs_j

  # column name
  lbr_inc

  # column name
  lbr_op

  # column name
  lbr_op_j

  # column name
  lbr_tax

  # column name
  lbr_typ_j

  # column name
  line_desc

  # column name
  line_ind

  # column name
  line_no

  # column name
  line_ref

  # column name
  location

  # column name
  misc_amt

  # column name
  misc_sublt

  # column name
  misc_tax

  # column name
  mod_lb_hrs

  # column name
  mod_lbr_ty

  # column name
  notes

  # column name
  oem_partno

  # column name
  op_code_desc

  # column name
  paint_stg

  # column name
  paint_tone

  # column name
  part_qty

  # column name
  part_type

  # column name
  price_inc

  # column name
  price_j

  # column name
  prt_dsmk_m

  # column name
  prt_dsmk_p

  # column name
  removed

  # column name
  status

  # column name
  tax_part

  # column name
  unq_seq

  # column name
  updated_at
}

# input type for updating data in table "joblines"
input joblines_set_input {
  act_price: numeric
  alt_co_id: String
  alt_overrd: Boolean
  alt_part_i: Boolean
  alt_partm: String
  alt_partno: String
  bett_amt: numeric
  bett_pctg: numeric
  bett_tax: Boolean
  bett_type: String
  cert_part: Boolean
  created_at: timestamptz
  db_hrs: numeric
  db_price: numeric
  db_ref: String
  est_seq: Int
  glass_flag: Boolean
  id: uuid
  jobid: uuid
  lbr_amt: numeric
  lbr_hrs_j: Boolean
  lbr_inc: Boolean
  lbr_op: String
  lbr_op_j: Boolean
  lbr_tax: Boolean
  lbr_typ_j: Boolean
  line_desc: String
  line_ind: String
  line_no: Int
  line_ref: numeric
  location: String
  misc_amt: numeric
  misc_sublt: Boolean
  misc_tax: Boolean
  mod_lb_hrs: numeric
  mod_lbr_ty: String
  notes: String
  oem_partno: String
  op_code_desc: String
  paint_stg: Int
  paint_tone: Int
  part_qty: Int
  part_type: String
  price_inc: Boolean
  price_j: Boolean
  prt_dsmk_m: numeric
  prt_dsmk_p: numeric
  removed: Boolean
  status: String
  tax_part: Boolean
  unq_seq: Int
  updated_at: timestamptz
}

# columns and relationships of "joblines_status"
type joblines_status {
  count: bigint

  # An object relationship
  job: jobs
  jobid: uuid
  part_type: String
  status: String
}

# aggregated selection of "joblines_status"
type joblines_status_aggregate {
  aggregate: joblines_status_aggregate_fields
  nodes: [joblines_status!]!
}

# aggregate fields of "joblines_status"
type joblines_status_aggregate_fields {
  avg: joblines_status_avg_fields
  count(columns: [joblines_status_select_column!], distinct: Boolean): Int
  max: joblines_status_max_fields
  min: joblines_status_min_fields
  stddev: joblines_status_stddev_fields
  stddev_pop: joblines_status_stddev_pop_fields
  stddev_samp: joblines_status_stddev_samp_fields
  sum: joblines_status_sum_fields
  var_pop: joblines_status_var_pop_fields
  var_samp: joblines_status_var_samp_fields
  variance: joblines_status_variance_fields
}

# order by aggregate values of table "joblines_status"
input joblines_status_aggregate_order_by {
  avg: joblines_status_avg_order_by
  count: order_by
  max: joblines_status_max_order_by
  min: joblines_status_min_order_by
  stddev: joblines_status_stddev_order_by
  stddev_pop: joblines_status_stddev_pop_order_by
  stddev_samp: joblines_status_stddev_samp_order_by
  sum: joblines_status_sum_order_by
  var_pop: joblines_status_var_pop_order_by
  var_samp: joblines_status_var_samp_order_by
  variance: joblines_status_variance_order_by
}

# aggregate avg on columns
type joblines_status_avg_fields {
  count: Float
}

# order by avg() on columns of table "joblines_status"
input joblines_status_avg_order_by {
  count: order_by
}

# Boolean expression to filter rows from the table "joblines_status". All fields are combined with a logical 'AND'.
input joblines_status_bool_exp {
  _and: [joblines_status_bool_exp]
  _not: joblines_status_bool_exp
  _or: [joblines_status_bool_exp]
  count: bigint_comparison_exp
  job: jobs_bool_exp
  jobid: uuid_comparison_exp
  part_type: String_comparison_exp
  status: String_comparison_exp
}

# aggregate max on columns
type joblines_status_max_fields {
  count: bigint
  jobid: uuid
  part_type: String
  status: String
}

# order by max() on columns of table "joblines_status"
input joblines_status_max_order_by {
  count: order_by
  jobid: order_by
  part_type: order_by
  status: order_by
}

# aggregate min on columns
type joblines_status_min_fields {
  count: bigint
  jobid: uuid
  part_type: String
  status: String
}

# order by min() on columns of table "joblines_status"
input joblines_status_min_order_by {
  count: order_by
  jobid: order_by
  part_type: order_by
  status: order_by
}

# ordering options when selecting data from "joblines_status"
input joblines_status_order_by {
  count: order_by
  job: jobs_order_by
  jobid: order_by
  part_type: order_by
  status: order_by
}

# select columns of table "joblines_status"
enum joblines_status_select_column {
  # column name
  count

  # column name
  jobid

  # column name
  part_type

  # column name
  status
}

# aggregate stddev on columns
type joblines_status_stddev_fields {
  count: Float
}

# order by stddev() on columns of table "joblines_status"
input joblines_status_stddev_order_by {
  count: order_by
}

# aggregate stddev_pop on columns
type joblines_status_stddev_pop_fields {
  count: Float
}

# order by stddev_pop() on columns of table "joblines_status"
input joblines_status_stddev_pop_order_by {
  count: order_by
}

# aggregate stddev_samp on columns
type joblines_status_stddev_samp_fields {
  count: Float
}

# order by stddev_samp() on columns of table "joblines_status"
input joblines_status_stddev_samp_order_by {
  count: order_by
}

# aggregate sum on columns
type joblines_status_sum_fields {
  count: bigint
}

# order by sum() on columns of table "joblines_status"
input joblines_status_sum_order_by {
  count: order_by
}

# aggregate var_pop on columns
type joblines_status_var_pop_fields {
  count: Float
}

# order by var_pop() on columns of table "joblines_status"
input joblines_status_var_pop_order_by {
  count: order_by
}

# aggregate var_samp on columns
type joblines_status_var_samp_fields {
  count: Float
}

# order by var_samp() on columns of table "joblines_status"
input joblines_status_var_samp_order_by {
  count: order_by
}

# aggregate variance on columns
type joblines_status_variance_fields {
  count: Float
}

# order by variance() on columns of table "joblines_status"
input joblines_status_variance_order_by {
  count: order_by
}

# aggregate stddev on columns
type joblines_stddev_fields {
  act_price: Float
  bett_amt: Float
  bett_pctg: Float
  db_hrs: Float
  db_price: Float
  est_seq: Float
  lbr_amt: Float
  line_no: Float
  line_ref: Float
  misc_amt: Float
  mod_lb_hrs: Float
  paint_stg: Float
  paint_tone: Float
  part_qty: Float
  prt_dsmk_m: Float
  prt_dsmk_p: Float
  unq_seq: Float
}

# order by stddev() on columns of table "joblines"
input joblines_stddev_order_by {
  act_price: order_by
  bett_amt: order_by
  bett_pctg: order_by
  db_hrs: order_by
  db_price: order_by
  est_seq: order_by
  lbr_amt: order_by
  line_no: order_by
  line_ref: order_by
  misc_amt: order_by
  mod_lb_hrs: order_by
  paint_stg: order_by
  paint_tone: order_by
  part_qty: order_by
  prt_dsmk_m: order_by
  prt_dsmk_p: order_by
  unq_seq: order_by
}

# aggregate stddev_pop on columns
type joblines_stddev_pop_fields {
  act_price: Float
  bett_amt: Float
  bett_pctg: Float
  db_hrs: Float
  db_price: Float
  est_seq: Float
  lbr_amt: Float
  line_no: Float
  line_ref: Float
  misc_amt: Float
  mod_lb_hrs: Float
  paint_stg: Float
  paint_tone: Float
  part_qty: Float
  prt_dsmk_m: Float
  prt_dsmk_p: Float
  unq_seq: Float
}

# order by stddev_pop() on columns of table "joblines"
input joblines_stddev_pop_order_by {
  act_price: order_by
  bett_amt: order_by
  bett_pctg: order_by
  db_hrs: order_by
  db_price: order_by
  est_seq: order_by
  lbr_amt: order_by
  line_no: order_by
  line_ref: order_by
  misc_amt: order_by
  mod_lb_hrs: order_by
  paint_stg: order_by
  paint_tone: order_by
  part_qty: order_by
  prt_dsmk_m: order_by
  prt_dsmk_p: order_by
  unq_seq: order_by
}

# aggregate stddev_samp on columns
type joblines_stddev_samp_fields {
  act_price: Float
  bett_amt: Float
  bett_pctg: Float
  db_hrs: Float
  db_price: Float
  est_seq: Float
  lbr_amt: Float
  line_no: Float
  line_ref: Float
  misc_amt: Float
  mod_lb_hrs: Float
  paint_stg: Float
  paint_tone: Float
  part_qty: Float
  prt_dsmk_m: Float
  prt_dsmk_p: Float
  unq_seq: Float
}

# order by stddev_samp() on columns of table "joblines"
input joblines_stddev_samp_order_by {
  act_price: order_by
  bett_amt: order_by
  bett_pctg: order_by
  db_hrs: order_by
  db_price: order_by
  est_seq: order_by
  lbr_amt: order_by
  line_no: order_by
  line_ref: order_by
  misc_amt: order_by
  mod_lb_hrs: order_by
  paint_stg: order_by
  paint_tone: order_by
  part_qty: order_by
  prt_dsmk_m: order_by
  prt_dsmk_p: order_by
  unq_seq: order_by
}

# aggregate sum on columns
type joblines_sum_fields {
  act_price: numeric
  bett_amt: numeric
  bett_pctg: numeric
  db_hrs: numeric
  db_price: numeric
  est_seq: Int
  lbr_amt: numeric
  line_no: Int
  line_ref: numeric
  misc_amt: numeric
  mod_lb_hrs: numeric
  paint_stg: Int
  paint_tone: Int
  part_qty: Int
  prt_dsmk_m: numeric
  prt_dsmk_p: numeric
  unq_seq: Int
}

# order by sum() on columns of table "joblines"
input joblines_sum_order_by {
  act_price: order_by
  bett_amt: order_by
  bett_pctg: order_by
  db_hrs: order_by
  db_price: order_by
  est_seq: order_by
  lbr_amt: order_by
  line_no: order_by
  line_ref: order_by
  misc_amt: order_by
  mod_lb_hrs: order_by
  paint_stg: order_by
  paint_tone: order_by
  part_qty: order_by
  prt_dsmk_m: order_by
  prt_dsmk_p: order_by
  unq_seq: order_by
}

# update columns of table "joblines"
enum joblines_update_column {
  # column name
  act_price

  # column name
  alt_co_id

  # column name
  alt_overrd

  # column name
  alt_part_i

  # column name
  alt_partm

  # column name
  alt_partno

  # column name
  bett_amt

  # column name
  bett_pctg

  # column name
  bett_tax

  # column name
  bett_type

  # column name
  cert_part

  # column name
  created_at

  # column name
  db_hrs

  # column name
  db_price

  # column name
  db_ref

  # column name
  est_seq

  # column name
  glass_flag

  # column name
  id

  # column name
  jobid

  # column name
  lbr_amt

  # column name
  lbr_hrs_j

  # column name
  lbr_inc

  # column name
  lbr_op

  # column name
  lbr_op_j

  # column name
  lbr_tax

  # column name
  lbr_typ_j

  # column name
  line_desc

  # column name
  line_ind

  # column name
  line_no

  # column name
  line_ref

  # column name
  location

  # column name
  misc_amt

  # column name
  misc_sublt

  # column name
  misc_tax

  # column name
  mod_lb_hrs

  # column name
  mod_lbr_ty

  # column name
  notes

  # column name
  oem_partno

  # column name
  op_code_desc

  # column name
  paint_stg

  # column name
  paint_tone

  # column name
  part_qty

  # column name
  part_type

  # column name
  price_inc

  # column name
  price_j

  # column name
  prt_dsmk_m

  # column name
  prt_dsmk_p

  # column name
  removed

  # column name
  status

  # column name
  tax_part

  # column name
  unq_seq

  # column name
  updated_at
}

# aggregate var_pop on columns
type joblines_var_pop_fields {
  act_price: Float
  bett_amt: Float
  bett_pctg: Float
  db_hrs: Float
  db_price: Float
  est_seq: Float
  lbr_amt: Float
  line_no: Float
  line_ref: Float
  misc_amt: Float
  mod_lb_hrs: Float
  paint_stg: Float
  paint_tone: Float
  part_qty: Float
  prt_dsmk_m: Float
  prt_dsmk_p: Float
  unq_seq: Float
}

# order by var_pop() on columns of table "joblines"
input joblines_var_pop_order_by {
  act_price: order_by
  bett_amt: order_by
  bett_pctg: order_by
  db_hrs: order_by
  db_price: order_by
  est_seq: order_by
  lbr_amt: order_by
  line_no: order_by
  line_ref: order_by
  misc_amt: order_by
  mod_lb_hrs: order_by
  paint_stg: order_by
  paint_tone: order_by
  part_qty: order_by
  prt_dsmk_m: order_by
  prt_dsmk_p: order_by
  unq_seq: order_by
}

# aggregate var_samp on columns
type joblines_var_samp_fields {
  act_price: Float
  bett_amt: Float
  bett_pctg: Float
  db_hrs: Float
  db_price: Float
  est_seq: Float
  lbr_amt: Float
  line_no: Float
  line_ref: Float
  misc_amt: Float
  mod_lb_hrs: Float
  paint_stg: Float
  paint_tone: Float
  part_qty: Float
  prt_dsmk_m: Float
  prt_dsmk_p: Float
  unq_seq: Float
}

# order by var_samp() on columns of table "joblines"
input joblines_var_samp_order_by {
  act_price: order_by
  bett_amt: order_by
  bett_pctg: order_by
  db_hrs: order_by
  db_price: order_by
  est_seq: order_by
  lbr_amt: order_by
  line_no: order_by
  line_ref: order_by
  misc_amt: order_by
  mod_lb_hrs: order_by
  paint_stg: order_by
  paint_tone: order_by
  part_qty: order_by
  prt_dsmk_m: order_by
  prt_dsmk_p: order_by
  unq_seq: order_by
}

# aggregate variance on columns
type joblines_variance_fields {
  act_price: Float
  bett_amt: Float
  bett_pctg: Float
  db_hrs: Float
  db_price: Float
  est_seq: Float
  lbr_amt: Float
  line_no: Float
  line_ref: Float
  misc_amt: Float
  mod_lb_hrs: Float
  paint_stg: Float
  paint_tone: Float
  part_qty: Float
  prt_dsmk_m: Float
  prt_dsmk_p: Float
  unq_seq: Float
}

# order by variance() on columns of table "joblines"
input joblines_variance_order_by {
  act_price: order_by
  bett_amt: order_by
  bett_pctg: order_by
  db_hrs: order_by
  db_price: order_by
  est_seq: order_by
  lbr_amt: order_by
  line_no: order_by
  line_ref: order_by
  misc_amt: order_by
  mod_lb_hrs: order_by
  paint_stg: order_by
  paint_tone: order_by
  part_qty: order_by
  prt_dsmk_m: order_by
  prt_dsmk_p: order_by
  unq_seq: order_by
}

# columns and relationships of "jobs"
type jobs {
  actual_completion: timestamptz
  actual_delivery: timestamptz
  actual_in: timestamptz
  adj_g_disc: numeric
  adj_strdis: numeric
  adj_towdis: numeric
  adjustment_bottom_line: numeric
  agt_addr1: String
  agt_addr2: String
  agt_city: String
  agt_co_id: String
  agt_co_nm: String
  agt_ct_fn: String
  agt_ct_ln: String
  agt_ct_ph: String
  agt_ct_phx: String
  agt_ctry: String
  agt_ea: String
  agt_fax: String
  agt_faxx: String
  agt_lic_no: String
  agt_ph1: String
  agt_ph1x: String
  agt_ph2: String
  agt_ph2x: String
  agt_st: String
  agt_zip: String

  # An array relationship
  appointments(
    # distinct select on columns
    distinct_on: [appointments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [appointments_order_by!]

    # filter the rows returned
    where: appointments_bool_exp
  ): [appointments!]!

  # An aggregated array relationship
  appointments_aggregate(
    # distinct select on columns
    distinct_on: [appointments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [appointments_order_by!]

    # filter the rows returned
    where: appointments_bool_exp
  ): appointments_aggregate!
  area_of_damage(
    # JSON select path
    path: String
  ): jsonb
  asgn_date: date
  asgn_no: String
  asgn_type: String

  # An array relationship
  available_jobs(
    # distinct select on columns
    distinct_on: [available_jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [available_jobs_order_by!]

    # filter the rows returned
    where: available_jobs_bool_exp
  ): [available_jobs!]!

  # An aggregated array relationship
  available_jobs_aggregate(
    # distinct select on columns
    distinct_on: [available_jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [available_jobs_order_by!]

    # filter the rows returned
    where: available_jobs_bool_exp
  ): available_jobs_aggregate!

  # An object relationship
  bodyshop: bodyshops!
  cat_no: String
  category: String

  # An array relationship
  cccontracts(
    # distinct select on columns
    distinct_on: [cccontracts_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [cccontracts_order_by!]

    # filter the rows returned
    where: cccontracts_bool_exp
  ): [cccontracts!]!

  # An aggregated array relationship
  cccontracts_aggregate(
    # distinct select on columns
    distinct_on: [cccontracts_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [cccontracts_order_by!]

    # filter the rows returned
    where: cccontracts_bool_exp
  ): cccontracts_aggregate!
  cieca_stl(
    # JSON select path
    path: String
  ): jsonb
  cieca_ttl(
    # JSON select path
    path: String
  ): jsonb
  ciecaid: String
  class: String
  clm_addr1: String
  clm_addr2: String
  clm_city: String
  clm_ct_fn: String
  clm_ct_ln: String
  clm_ct_ph: String
  clm_ct_phx: String
  clm_ctry: String
  clm_ea: String
  clm_fax: String
  clm_faxx: String
  clm_no: String
  clm_ofc_id: String
  clm_ofc_nm: String
  clm_ph1: String
  clm_ph1x: String
  clm_ph2: String
  clm_ph2x: String
  clm_st: String
  clm_title: String
  clm_total: numeric
  clm_zip: String
  converted: Boolean!
  created_at: timestamptz!

  # An array relationship
  csiinvites(
    # distinct select on columns
    distinct_on: [csi_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csi_order_by!]

    # filter the rows returned
    where: csi_bool_exp
  ): [csi!]!

  # An aggregated array relationship
  csiinvites_aggregate(
    # distinct select on columns
    distinct_on: [csi_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csi_order_by!]

    # filter the rows returned
    where: csi_bool_exp
  ): csi_aggregate!
  csr: String
  cust_pr: String
  date_closed: timestamptz
  date_estimated: timestamptz
  date_exported: timestamptz
  date_invoiced: timestamptz
  date_open: timestamptz
  date_scheduled: timestamptz
  ded_amt: numeric
  ded_status: String
  deliverchecklist(
    # JSON select path
    path: String
  ): jsonb
  depreciation_taxes: numeric

  # An array relationship
  documents(
    # distinct select on columns
    distinct_on: [documents_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [documents_order_by!]

    # filter the rows returned
    where: documents_bool_exp
  ): [documents!]!

  # An aggregated array relationship
  documents_aggregate(
    # distinct select on columns
    distinct_on: [documents_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [documents_order_by!]

    # filter the rows returned
    where: documents_bool_exp
  ): documents_aggregate!
  employee_body: uuid

  # An object relationship
  employee_body_rel: employees
  employee_prep: uuid

  # An object relationship
  employee_prep_rel: employees
  employee_refinish: uuid

  # An object relationship
  employee_refinish_rel: employees
  est_addr1: String
  est_addr2: String
  est_city: String
  est_co_nm: String
  est_ct_fn: String
  est_ct_ln: String
  est_ctry: String
  est_ea: String
  est_number: bigint!
  est_ph1: String
  est_st: String
  est_zip: String
  federal_tax_payable: numeric
  federal_tax_rate: numeric
  g_bett_amt: numeric
  id: uuid!
  inproduction: Boolean!
  ins_addr1: String
  ins_addr2: String
  ins_city: String
  ins_co_id: String
  ins_co_nm: String
  ins_ct_fn: String
  ins_ct_ln: String
  ins_ct_ph: String
  ins_ct_phx: String
  ins_ctry: String
  ins_ea: String
  ins_fax: String
  ins_faxx: String
  ins_memo: String
  ins_ph1: String
  ins_ph1x: String
  ins_ph2: String
  ins_ph2x: String
  ins_st: String
  ins_title: String
  ins_zip: String
  insd_addr1: String
  insd_addr2: String
  insd_city: String
  insd_co_nm: String
  insd_ctry: String
  insd_ea: String
  insd_fax: String
  insd_faxx: String
  insd_fn: String
  insd_ln: String
  insd_ph1: String
  insd_ph1x: String
  insd_ph2: String
  insd_ph2x: String
  insd_st: String
  insd_title: String
  insd_zip: String
  intakechecklist(
    # JSON select path
    path: String
  ): jsonb

  # An object relationship
  invoice: invoices
  invoice_allocation(
    # JSON select path
    path: String
  ): jsonb
  invoice_date: date

  # An array relationship
  invoices(
    # distinct select on columns
    distinct_on: [invoices_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoices_order_by!]

    # filter the rows returned
    where: invoices_bool_exp
  ): [invoices!]!

  # An aggregated array relationship
  invoices_aggregate(
    # distinct select on columns
    distinct_on: [invoices_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoices_order_by!]

    # filter the rows returned
    where: invoices_bool_exp
  ): invoices_aggregate!

  # An array relationship
  job_conversations(
    # distinct select on columns
    distinct_on: [job_conversations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [job_conversations_order_by!]

    # filter the rows returned
    where: job_conversations_bool_exp
  ): [job_conversations!]!

  # An aggregated array relationship
  job_conversations_aggregate(
    # distinct select on columns
    distinct_on: [job_conversations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [job_conversations_order_by!]

    # filter the rows returned
    where: job_conversations_bool_exp
  ): job_conversations_aggregate!
  job_totals(
    # JSON select path
    path: String
  ): jsonb

  # An array relationship
  joblines(
    # distinct select on columns
    distinct_on: [joblines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [joblines_order_by!]

    # filter the rows returned
    where: joblines_bool_exp
  ): [joblines!]!

  # An aggregated array relationship
  joblines_aggregate(
    # distinct select on columns
    distinct_on: [joblines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [joblines_order_by!]

    # filter the rows returned
    where: joblines_bool_exp
  ): joblines_aggregate!

  # An array relationship
  joblines_status(
    # distinct select on columns
    distinct_on: [joblines_status_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [joblines_status_order_by!]

    # filter the rows returned
    where: joblines_status_bool_exp
  ): [joblines_status!]!

  # An aggregated array relationship
  joblines_status_aggregate(
    # distinct select on columns
    distinct_on: [joblines_status_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [joblines_status_order_by!]

    # filter the rows returned
    where: joblines_status_bool_exp
  ): joblines_status_aggregate!
  kanbanparent: String
  kmin: Int
  kmout: Int
  labor_rate_desc: String
  labor_rate_id: String
  local_tax_rate: numeric
  loss_cat: String
  loss_date: date
  loss_desc: String
  loss_type: String

  # An array relationship
  notes(
    # distinct select on columns
    distinct_on: [notes_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [notes_order_by!]

    # filter the rows returned
    where: notes_bool_exp
  ): [notes!]!

  # An aggregated array relationship
  notes_aggregate(
    # distinct select on columns
    distinct_on: [notes_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [notes_order_by!]

    # filter the rows returned
    where: notes_bool_exp
  ): notes_aggregate!
  other_amount_payable: numeric

  # An object relationship
  owner: owners
  owner_owing: numeric
  ownerid: uuid
  ownr_addr1: String
  ownr_addr2: String
  ownr_city: String
  ownr_co_nm: String
  ownr_ctry: String
  ownr_ea: String
  ownr_fax: String
  ownr_faxx: String
  ownr_fn: String
  ownr_ln: String
  ownr_ph1: String
  ownr_ph1x: String
  ownr_ph2: String
  ownr_ph2x: String
  ownr_st: String
  ownr_title: String
  ownr_zip: String

  # An array relationship
  parts_orders(
    # distinct select on columns
    distinct_on: [parts_orders_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_orders_order_by!]

    # filter the rows returned
    where: parts_orders_bool_exp
  ): [parts_orders!]!

  # An aggregated array relationship
  parts_orders_aggregate(
    # distinct select on columns
    distinct_on: [parts_orders_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_orders_order_by!]

    # filter the rows returned
    where: parts_orders_bool_exp
  ): parts_orders_aggregate!
  parts_tax_rates(
    # JSON select path
    path: String
  ): jsonb
  pay_amt: numeric
  pay_chknm: String
  pay_date: date
  pay_type: String
  payee_nms: String

  # An array relationship
  payments(
    # distinct select on columns
    distinct_on: [payments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [payments_order_by!]

    # filter the rows returned
    where: payments_bool_exp
  ): [payments!]!

  # An aggregated array relationship
  payments_aggregate(
    # distinct select on columns
    distinct_on: [payments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [payments_order_by!]

    # filter the rows returned
    where: payments_bool_exp
  ): payments_aggregate!
  plate_no: String
  plate_st: String
  po_number: String
  policy_no: String
  production_vars(
    # JSON select path
    path: String
  ): jsonb
  rate_atp: numeric
  rate_la1: numeric
  rate_la2: numeric
  rate_la3: numeric
  rate_la4: numeric
  rate_laa: numeric
  rate_lab: numeric
  rate_lad: numeric
  rate_lae: numeric
  rate_laf: numeric
  rate_lag: numeric
  rate_lam: numeric
  rate_lar: numeric
  rate_las: numeric
  rate_lau: numeric
  rate_ma2s: numeric
  rate_ma2t: numeric
  rate_ma3s: numeric
  rate_mabl: numeric
  rate_macs: numeric
  rate_mahw: numeric
  rate_mapa: numeric
  rate_mash: numeric
  rate_matd: numeric
  referral_source: String
  regie_number: String
  ro_number: String
  scheduled_completion: timestamptz
  scheduled_delivery: timestamptz
  scheduled_in: timestamptz

  # An array relationship
  scoreboards(
    # distinct select on columns
    distinct_on: [scoreboard_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [scoreboard_order_by!]

    # filter the rows returned
    where: scoreboard_bool_exp
  ): [scoreboard!]!

  # An aggregated array relationship
  scoreboards_aggregate(
    # distinct select on columns
    distinct_on: [scoreboard_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [scoreboard_order_by!]

    # filter the rows returned
    where: scoreboard_bool_exp
  ): scoreboard_aggregate!
  selling_dealer: String
  selling_dealer_contact: String
  servicing_dealer: String
  servicing_dealer_contact: String
  shopid: uuid!
  special_coverage_policy: Boolean!
  state_tax_rate: numeric
  status: String!
  storage_payable: numeric
  tax_lbr_rt: numeric
  tax_levies_rt: numeric
  tax_paint_mat_rt: numeric
  tax_predis: numeric
  tax_prethr: numeric

  # Parts Tax Rate
  tax_pstthr: numeric
  tax_registration_number: String
  tax_str_rt: numeric

  # Sublet Tax Rate
  tax_sub_rt: numeric
  tax_thramt: numeric

  # Towing Tax Rate
  tax_tow_rt: numeric
  theft_ind: Boolean

  # An array relationship
  timetickets(
    # distinct select on columns
    distinct_on: [timetickets_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [timetickets_order_by!]

    # filter the rows returned
    where: timetickets_bool_exp
  ): [timetickets!]!

  # An aggregated array relationship
  timetickets_aggregate(
    # distinct select on columns
    distinct_on: [timetickets_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [timetickets_order_by!]

    # filter the rows returned
    where: timetickets_bool_exp
  ): timetickets_aggregate!
  tlos_ind: Boolean
  towing_payable: numeric
  unit_number: String
  updated_at: timestamptz!
  v_color: String
  v_make_desc: String
  v_model_desc: String
  v_model_yr: String
  v_vin: String

  # An object relationship
  vehicle: vehicles
  vehicleid: uuid
}

# aggregated selection of "jobs"
type jobs_aggregate {
  aggregate: jobs_aggregate_fields
  nodes: [jobs!]!
}

# aggregate fields of "jobs"
type jobs_aggregate_fields {
  avg: jobs_avg_fields
  count(columns: [jobs_select_column!], distinct: Boolean): Int
  max: jobs_max_fields
  min: jobs_min_fields
  stddev: jobs_stddev_fields
  stddev_pop: jobs_stddev_pop_fields
  stddev_samp: jobs_stddev_samp_fields
  sum: jobs_sum_fields
  var_pop: jobs_var_pop_fields
  var_samp: jobs_var_samp_fields
  variance: jobs_variance_fields
}

# order by aggregate values of table "jobs"
input jobs_aggregate_order_by {
  avg: jobs_avg_order_by
  count: order_by
  max: jobs_max_order_by
  min: jobs_min_order_by
  stddev: jobs_stddev_order_by
  stddev_pop: jobs_stddev_pop_order_by
  stddev_samp: jobs_stddev_samp_order_by
  sum: jobs_sum_order_by
  var_pop: jobs_var_pop_order_by
  var_samp: jobs_var_samp_order_by
  variance: jobs_variance_order_by
}

# append existing jsonb value of filtered columns with new jsonb value
input jobs_append_input {
  area_of_damage: jsonb
  cieca_stl: jsonb
  cieca_ttl: jsonb
  deliverchecklist: jsonb
  intakechecklist: jsonb
  invoice_allocation: jsonb
  job_totals: jsonb
  parts_tax_rates: jsonb
  production_vars: jsonb
}

# input type for inserting array relation for remote table "jobs"
input jobs_arr_rel_insert_input {
  data: [jobs_insert_input!]!
  on_conflict: jobs_on_conflict
}

# aggregate avg on columns
type jobs_avg_fields {
  adj_g_disc: Float
  adj_strdis: Float
  adj_towdis: Float
  adjustment_bottom_line: Float
  clm_total: Float
  ded_amt: Float
  depreciation_taxes: Float
  est_number: Float
  federal_tax_payable: Float
  federal_tax_rate: Float
  g_bett_amt: Float
  kmin: Float
  kmout: Float
  local_tax_rate: Float
  other_amount_payable: Float
  owner_owing: Float
  pay_amt: Float
  rate_atp: Float
  rate_la1: Float
  rate_la2: Float
  rate_la3: Float
  rate_la4: Float
  rate_laa: Float
  rate_lab: Float
  rate_lad: Float
  rate_lae: Float
  rate_laf: Float
  rate_lag: Float
  rate_lam: Float
  rate_lar: Float
  rate_las: Float
  rate_lau: Float
  rate_ma2s: Float
  rate_ma2t: Float
  rate_ma3s: Float
  rate_mabl: Float
  rate_macs: Float
  rate_mahw: Float
  rate_mapa: Float
  rate_mash: Float
  rate_matd: Float
  state_tax_rate: Float
  storage_payable: Float
  tax_lbr_rt: Float
  tax_levies_rt: Float
  tax_paint_mat_rt: Float
  tax_predis: Float
  tax_prethr: Float
  tax_pstthr: Float
  tax_str_rt: Float
  tax_sub_rt: Float
  tax_thramt: Float
  tax_tow_rt: Float
  towing_payable: Float
}

# order by avg() on columns of table "jobs"
input jobs_avg_order_by {
  adj_g_disc: order_by
  adj_strdis: order_by
  adj_towdis: order_by
  adjustment_bottom_line: order_by
  clm_total: order_by
  ded_amt: order_by
  depreciation_taxes: order_by
  est_number: order_by
  federal_tax_payable: order_by
  federal_tax_rate: order_by
  g_bett_amt: order_by
  kmin: order_by
  kmout: order_by
  local_tax_rate: order_by
  other_amount_payable: order_by
  owner_owing: order_by
  pay_amt: order_by
  rate_atp: order_by
  rate_la1: order_by
  rate_la2: order_by
  rate_la3: order_by
  rate_la4: order_by
  rate_laa: order_by
  rate_lab: order_by
  rate_lad: order_by
  rate_lae: order_by
  rate_laf: order_by
  rate_lag: order_by
  rate_lam: order_by
  rate_lar: order_by
  rate_las: order_by
  rate_lau: order_by
  rate_ma2s: order_by
  rate_ma2t: order_by
  rate_ma3s: order_by
  rate_mabl: order_by
  rate_macs: order_by
  rate_mahw: order_by
  rate_mapa: order_by
  rate_mash: order_by
  rate_matd: order_by
  state_tax_rate: order_by
  storage_payable: order_by
  tax_lbr_rt: order_by
  tax_levies_rt: order_by
  tax_paint_mat_rt: order_by
  tax_predis: order_by
  tax_prethr: order_by
  tax_pstthr: order_by
  tax_str_rt: order_by
  tax_sub_rt: order_by
  tax_thramt: order_by
  tax_tow_rt: order_by
  towing_payable: order_by
}

# Boolean expression to filter rows from the table "jobs". All fields are combined with a logical 'AND'.
input jobs_bool_exp {
  _and: [jobs_bool_exp]
  _not: jobs_bool_exp
  _or: [jobs_bool_exp]
  actual_completion: timestamptz_comparison_exp
  actual_delivery: timestamptz_comparison_exp
  actual_in: timestamptz_comparison_exp
  adj_g_disc: numeric_comparison_exp
  adj_strdis: numeric_comparison_exp
  adj_towdis: numeric_comparison_exp
  adjustment_bottom_line: numeric_comparison_exp
  agt_addr1: String_comparison_exp
  agt_addr2: String_comparison_exp
  agt_city: String_comparison_exp
  agt_co_id: String_comparison_exp
  agt_co_nm: String_comparison_exp
  agt_ct_fn: String_comparison_exp
  agt_ct_ln: String_comparison_exp
  agt_ct_ph: String_comparison_exp
  agt_ct_phx: String_comparison_exp
  agt_ctry: String_comparison_exp
  agt_ea: String_comparison_exp
  agt_fax: String_comparison_exp
  agt_faxx: String_comparison_exp
  agt_lic_no: String_comparison_exp
  agt_ph1: String_comparison_exp
  agt_ph1x: String_comparison_exp
  agt_ph2: String_comparison_exp
  agt_ph2x: String_comparison_exp
  agt_st: String_comparison_exp
  agt_zip: String_comparison_exp
  appointments: appointments_bool_exp
  area_of_damage: jsonb_comparison_exp
  asgn_date: date_comparison_exp
  asgn_no: String_comparison_exp
  asgn_type: String_comparison_exp
  available_jobs: available_jobs_bool_exp
  bodyshop: bodyshops_bool_exp
  cat_no: String_comparison_exp
  category: String_comparison_exp
  cccontracts: cccontracts_bool_exp
  cieca_stl: jsonb_comparison_exp
  cieca_ttl: jsonb_comparison_exp
  ciecaid: String_comparison_exp
  class: String_comparison_exp
  clm_addr1: String_comparison_exp
  clm_addr2: String_comparison_exp
  clm_city: String_comparison_exp
  clm_ct_fn: String_comparison_exp
  clm_ct_ln: String_comparison_exp
  clm_ct_ph: String_comparison_exp
  clm_ct_phx: String_comparison_exp
  clm_ctry: String_comparison_exp
  clm_ea: String_comparison_exp
  clm_fax: String_comparison_exp
  clm_faxx: String_comparison_exp
  clm_no: String_comparison_exp
  clm_ofc_id: String_comparison_exp
  clm_ofc_nm: String_comparison_exp
  clm_ph1: String_comparison_exp
  clm_ph1x: String_comparison_exp
  clm_ph2: String_comparison_exp
  clm_ph2x: String_comparison_exp
  clm_st: String_comparison_exp
  clm_title: String_comparison_exp
  clm_total: numeric_comparison_exp
  clm_zip: String_comparison_exp
  converted: Boolean_comparison_exp
  created_at: timestamptz_comparison_exp
  csiinvites: csi_bool_exp
  csr: String_comparison_exp
  cust_pr: String_comparison_exp
  date_closed: timestamptz_comparison_exp
  date_estimated: timestamptz_comparison_exp
  date_exported: timestamptz_comparison_exp
  date_invoiced: timestamptz_comparison_exp
  date_open: timestamptz_comparison_exp
  date_scheduled: timestamptz_comparison_exp
  ded_amt: numeric_comparison_exp
  ded_status: String_comparison_exp
  deliverchecklist: jsonb_comparison_exp
  depreciation_taxes: numeric_comparison_exp
  documents: documents_bool_exp
  employee_body: uuid_comparison_exp
  employee_body_rel: employees_bool_exp
  employee_prep: uuid_comparison_exp
  employee_prep_rel: employees_bool_exp
  employee_refinish: uuid_comparison_exp
  employee_refinish_rel: employees_bool_exp
  est_addr1: String_comparison_exp
  est_addr2: String_comparison_exp
  est_city: String_comparison_exp
  est_co_nm: String_comparison_exp
  est_ct_fn: String_comparison_exp
  est_ct_ln: String_comparison_exp
  est_ctry: String_comparison_exp
  est_ea: String_comparison_exp
  est_number: bigint_comparison_exp
  est_ph1: String_comparison_exp
  est_st: String_comparison_exp
  est_zip: String_comparison_exp
  federal_tax_payable: numeric_comparison_exp
  federal_tax_rate: numeric_comparison_exp
  g_bett_amt: numeric_comparison_exp
  id: uuid_comparison_exp
  inproduction: Boolean_comparison_exp
  ins_addr1: String_comparison_exp
  ins_addr2: String_comparison_exp
  ins_city: String_comparison_exp
  ins_co_id: String_comparison_exp
  ins_co_nm: String_comparison_exp
  ins_ct_fn: String_comparison_exp
  ins_ct_ln: String_comparison_exp
  ins_ct_ph: String_comparison_exp
  ins_ct_phx: String_comparison_exp
  ins_ctry: String_comparison_exp
  ins_ea: String_comparison_exp
  ins_fax: String_comparison_exp
  ins_faxx: String_comparison_exp
  ins_memo: String_comparison_exp
  ins_ph1: String_comparison_exp
  ins_ph1x: String_comparison_exp
  ins_ph2: String_comparison_exp
  ins_ph2x: String_comparison_exp
  ins_st: String_comparison_exp
  ins_title: String_comparison_exp
  ins_zip: String_comparison_exp
  insd_addr1: String_comparison_exp
  insd_addr2: String_comparison_exp
  insd_city: String_comparison_exp
  insd_co_nm: String_comparison_exp
  insd_ctry: String_comparison_exp
  insd_ea: String_comparison_exp
  insd_fax: String_comparison_exp
  insd_faxx: String_comparison_exp
  insd_fn: String_comparison_exp
  insd_ln: String_comparison_exp
  insd_ph1: String_comparison_exp
  insd_ph1x: String_comparison_exp
  insd_ph2: String_comparison_exp
  insd_ph2x: String_comparison_exp
  insd_st: String_comparison_exp
  insd_title: String_comparison_exp
  insd_zip: String_comparison_exp
  intakechecklist: jsonb_comparison_exp
  invoice: invoices_bool_exp
  invoice_allocation: jsonb_comparison_exp
  invoice_date: date_comparison_exp
  invoices: invoices_bool_exp
  job_conversations: job_conversations_bool_exp
  job_totals: jsonb_comparison_exp
  joblines: joblines_bool_exp
  joblines_status: joblines_status_bool_exp
  kanbanparent: String_comparison_exp
  kmin: Int_comparison_exp
  kmout: Int_comparison_exp
  labor_rate_desc: String_comparison_exp
  labor_rate_id: String_comparison_exp
  local_tax_rate: numeric_comparison_exp
  loss_cat: String_comparison_exp
  loss_date: date_comparison_exp
  loss_desc: String_comparison_exp
  loss_type: String_comparison_exp
  notes: notes_bool_exp
  other_amount_payable: numeric_comparison_exp
  owner: owners_bool_exp
  owner_owing: numeric_comparison_exp
  ownerid: uuid_comparison_exp
  ownr_addr1: String_comparison_exp
  ownr_addr2: String_comparison_exp
  ownr_city: String_comparison_exp
  ownr_co_nm: String_comparison_exp
  ownr_ctry: String_comparison_exp
  ownr_ea: String_comparison_exp
  ownr_fax: String_comparison_exp
  ownr_faxx: String_comparison_exp
  ownr_fn: String_comparison_exp
  ownr_ln: String_comparison_exp
  ownr_ph1: String_comparison_exp
  ownr_ph1x: String_comparison_exp
  ownr_ph2: String_comparison_exp
  ownr_ph2x: String_comparison_exp
  ownr_st: String_comparison_exp
  ownr_title: String_comparison_exp
  ownr_zip: String_comparison_exp
  parts_orders: parts_orders_bool_exp
  parts_tax_rates: jsonb_comparison_exp
  pay_amt: numeric_comparison_exp
  pay_chknm: String_comparison_exp
  pay_date: date_comparison_exp
  pay_type: String_comparison_exp
  payee_nms: String_comparison_exp
  payments: payments_bool_exp
  plate_no: String_comparison_exp
  plate_st: String_comparison_exp
  po_number: String_comparison_exp
  policy_no: String_comparison_exp
  production_vars: jsonb_comparison_exp
  rate_atp: numeric_comparison_exp
  rate_la1: numeric_comparison_exp
  rate_la2: numeric_comparison_exp
  rate_la3: numeric_comparison_exp
  rate_la4: numeric_comparison_exp
  rate_laa: numeric_comparison_exp
  rate_lab: numeric_comparison_exp
  rate_lad: numeric_comparison_exp
  rate_lae: numeric_comparison_exp
  rate_laf: numeric_comparison_exp
  rate_lag: numeric_comparison_exp
  rate_lam: numeric_comparison_exp
  rate_lar: numeric_comparison_exp
  rate_las: numeric_comparison_exp
  rate_lau: numeric_comparison_exp
  rate_ma2s: numeric_comparison_exp
  rate_ma2t: numeric_comparison_exp
  rate_ma3s: numeric_comparison_exp
  rate_mabl: numeric_comparison_exp
  rate_macs: numeric_comparison_exp
  rate_mahw: numeric_comparison_exp
  rate_mapa: numeric_comparison_exp
  rate_mash: numeric_comparison_exp
  rate_matd: numeric_comparison_exp
  referral_source: String_comparison_exp
  regie_number: String_comparison_exp
  ro_number: String_comparison_exp
  scheduled_completion: timestamptz_comparison_exp
  scheduled_delivery: timestamptz_comparison_exp
  scheduled_in: timestamptz_comparison_exp
  scoreboards: scoreboard_bool_exp
  selling_dealer: String_comparison_exp
  selling_dealer_contact: String_comparison_exp
  servicing_dealer: String_comparison_exp
  servicing_dealer_contact: String_comparison_exp
  shopid: uuid_comparison_exp
  special_coverage_policy: Boolean_comparison_exp
  state_tax_rate: numeric_comparison_exp
  status: String_comparison_exp
  storage_payable: numeric_comparison_exp
  tax_lbr_rt: numeric_comparison_exp
  tax_levies_rt: numeric_comparison_exp
  tax_paint_mat_rt: numeric_comparison_exp
  tax_predis: numeric_comparison_exp
  tax_prethr: numeric_comparison_exp
  tax_pstthr: numeric_comparison_exp
  tax_registration_number: String_comparison_exp
  tax_str_rt: numeric_comparison_exp
  tax_sub_rt: numeric_comparison_exp
  tax_thramt: numeric_comparison_exp
  tax_tow_rt: numeric_comparison_exp
  theft_ind: Boolean_comparison_exp
  timetickets: timetickets_bool_exp
  tlos_ind: Boolean_comparison_exp
  towing_payable: numeric_comparison_exp
  unit_number: String_comparison_exp
  updated_at: timestamptz_comparison_exp
  v_color: String_comparison_exp
  v_make_desc: String_comparison_exp
  v_model_desc: String_comparison_exp
  v_model_yr: String_comparison_exp
  v_vin: String_comparison_exp
  vehicle: vehicles_bool_exp
  vehicleid: uuid_comparison_exp
}

# unique or primary key constraints on table "jobs"
enum jobs_constraint {
  # unique or primary key constraint
  jobs_pkey
}

# delete the field or element with specified path (for JSON arrays, negative integers count from the end)
input jobs_delete_at_path_input {
  area_of_damage: [String]
  cieca_stl: [String]
  cieca_ttl: [String]
  deliverchecklist: [String]
  intakechecklist: [String]
  invoice_allocation: [String]
  job_totals: [String]
  parts_tax_rates: [String]
  production_vars: [String]
}

# delete the array element with specified index (negative integers count from the
# end). throws an error if top level container is not an array
input jobs_delete_elem_input {
  area_of_damage: Int
  cieca_stl: Int
  cieca_ttl: Int
  deliverchecklist: Int
  intakechecklist: Int
  invoice_allocation: Int
  job_totals: Int
  parts_tax_rates: Int
  production_vars: Int
}

# delete key/value pair or string element. key/value pairs are matched based on their key value
input jobs_delete_key_input {
  area_of_damage: String
  cieca_stl: String
  cieca_ttl: String
  deliverchecklist: String
  intakechecklist: String
  invoice_allocation: String
  job_totals: String
  parts_tax_rates: String
  production_vars: String
}

# input type for incrementing integer column in table "jobs"
input jobs_inc_input {
  adj_g_disc: numeric
  adj_strdis: numeric
  adj_towdis: numeric
  adjustment_bottom_line: numeric
  clm_total: numeric
  ded_amt: numeric
  depreciation_taxes: numeric
  est_number: bigint
  federal_tax_payable: numeric
  federal_tax_rate: numeric
  g_bett_amt: numeric
  kmin: Int
  kmout: Int
  local_tax_rate: numeric
  other_amount_payable: numeric
  owner_owing: numeric
  pay_amt: numeric
  rate_atp: numeric
  rate_la1: numeric
  rate_la2: numeric
  rate_la3: numeric
  rate_la4: numeric
  rate_laa: numeric
  rate_lab: numeric
  rate_lad: numeric
  rate_lae: numeric
  rate_laf: numeric
  rate_lag: numeric
  rate_lam: numeric
  rate_lar: numeric
  rate_las: numeric
  rate_lau: numeric
  rate_ma2s: numeric
  rate_ma2t: numeric
  rate_ma3s: numeric
  rate_mabl: numeric
  rate_macs: numeric
  rate_mahw: numeric
  rate_mapa: numeric
  rate_mash: numeric
  rate_matd: numeric
  state_tax_rate: numeric
  storage_payable: numeric
  tax_lbr_rt: numeric
  tax_levies_rt: numeric
  tax_paint_mat_rt: numeric
  tax_predis: numeric
  tax_prethr: numeric
  tax_pstthr: numeric
  tax_str_rt: numeric
  tax_sub_rt: numeric
  tax_thramt: numeric
  tax_tow_rt: numeric
  towing_payable: numeric
}

# input type for inserting data into table "jobs"
input jobs_insert_input {
  actual_completion: timestamptz
  actual_delivery: timestamptz
  actual_in: timestamptz
  adj_g_disc: numeric
  adj_strdis: numeric
  adj_towdis: numeric
  adjustment_bottom_line: numeric
  agt_addr1: String
  agt_addr2: String
  agt_city: String
  agt_co_id: String
  agt_co_nm: String
  agt_ct_fn: String
  agt_ct_ln: String
  agt_ct_ph: String
  agt_ct_phx: String
  agt_ctry: String
  agt_ea: String
  agt_fax: String
  agt_faxx: String
  agt_lic_no: String
  agt_ph1: String
  agt_ph1x: String
  agt_ph2: String
  agt_ph2x: String
  agt_st: String
  agt_zip: String
  appointments: appointments_arr_rel_insert_input
  area_of_damage: jsonb
  asgn_date: date
  asgn_no: String
  asgn_type: String
  available_jobs: available_jobs_arr_rel_insert_input
  bodyshop: bodyshops_obj_rel_insert_input
  cat_no: String
  category: String
  cccontracts: cccontracts_arr_rel_insert_input
  cieca_stl: jsonb
  cieca_ttl: jsonb
  ciecaid: String
  class: String
  clm_addr1: String
  clm_addr2: String
  clm_city: String
  clm_ct_fn: String
  clm_ct_ln: String
  clm_ct_ph: String
  clm_ct_phx: String
  clm_ctry: String
  clm_ea: String
  clm_fax: String
  clm_faxx: String
  clm_no: String
  clm_ofc_id: String
  clm_ofc_nm: String
  clm_ph1: String
  clm_ph1x: String
  clm_ph2: String
  clm_ph2x: String
  clm_st: String
  clm_title: String
  clm_total: numeric
  clm_zip: String
  converted: Boolean
  created_at: timestamptz
  csiinvites: csi_arr_rel_insert_input
  csr: String
  cust_pr: String
  date_closed: timestamptz
  date_estimated: timestamptz
  date_exported: timestamptz
  date_invoiced: timestamptz
  date_open: timestamptz
  date_scheduled: timestamptz
  ded_amt: numeric
  ded_status: String
  deliverchecklist: jsonb
  depreciation_taxes: numeric
  documents: documents_arr_rel_insert_input
  employee_body: uuid
  employee_body_rel: employees_obj_rel_insert_input
  employee_prep: uuid
  employee_prep_rel: employees_obj_rel_insert_input
  employee_refinish: uuid
  employee_refinish_rel: employees_obj_rel_insert_input
  est_addr1: String
  est_addr2: String
  est_city: String
  est_co_nm: String
  est_ct_fn: String
  est_ct_ln: String
  est_ctry: String
  est_ea: String
  est_number: bigint
  est_ph1: String
  est_st: String
  est_zip: String
  federal_tax_payable: numeric
  federal_tax_rate: numeric
  g_bett_amt: numeric
  id: uuid
  inproduction: Boolean
  ins_addr1: String
  ins_addr2: String
  ins_city: String
  ins_co_id: String
  ins_co_nm: String
  ins_ct_fn: String
  ins_ct_ln: String
  ins_ct_ph: String
  ins_ct_phx: String
  ins_ctry: String
  ins_ea: String
  ins_fax: String
  ins_faxx: String
  ins_memo: String
  ins_ph1: String
  ins_ph1x: String
  ins_ph2: String
  ins_ph2x: String
  ins_st: String
  ins_title: String
  ins_zip: String
  insd_addr1: String
  insd_addr2: String
  insd_city: String
  insd_co_nm: String
  insd_ctry: String
  insd_ea: String
  insd_fax: String
  insd_faxx: String
  insd_fn: String
  insd_ln: String
  insd_ph1: String
  insd_ph1x: String
  insd_ph2: String
  insd_ph2x: String
  insd_st: String
  insd_title: String
  insd_zip: String
  intakechecklist: jsonb
  invoice: invoices_obj_rel_insert_input
  invoice_allocation: jsonb
  invoice_date: date
  invoices: invoices_arr_rel_insert_input
  job_conversations: job_conversations_arr_rel_insert_input
  job_totals: jsonb
  joblines: joblines_arr_rel_insert_input
  kanbanparent: String
  kmin: Int
  kmout: Int
  labor_rate_desc: String
  labor_rate_id: String
  local_tax_rate: numeric
  loss_cat: String
  loss_date: date
  loss_desc: String
  loss_type: String
  notes: notes_arr_rel_insert_input
  other_amount_payable: numeric
  owner: owners_obj_rel_insert_input
  owner_owing: numeric
  ownerid: uuid
  ownr_addr1: String
  ownr_addr2: String
  ownr_city: String
  ownr_co_nm: String
  ownr_ctry: String
  ownr_ea: String
  ownr_fax: String
  ownr_faxx: String
  ownr_fn: String
  ownr_ln: String
  ownr_ph1: String
  ownr_ph1x: String
  ownr_ph2: String
  ownr_ph2x: String
  ownr_st: String
  ownr_title: String
  ownr_zip: String
  parts_orders: parts_orders_arr_rel_insert_input
  parts_tax_rates: jsonb
  pay_amt: numeric
  pay_chknm: String
  pay_date: date
  pay_type: String
  payee_nms: String
  payments: payments_arr_rel_insert_input
  plate_no: String
  plate_st: String
  po_number: String
  policy_no: String
  production_vars: jsonb
  rate_atp: numeric
  rate_la1: numeric
  rate_la2: numeric
  rate_la3: numeric
  rate_la4: numeric
  rate_laa: numeric
  rate_lab: numeric
  rate_lad: numeric
  rate_lae: numeric
  rate_laf: numeric
  rate_lag: numeric
  rate_lam: numeric
  rate_lar: numeric
  rate_las: numeric
  rate_lau: numeric
  rate_ma2s: numeric
  rate_ma2t: numeric
  rate_ma3s: numeric
  rate_mabl: numeric
  rate_macs: numeric
  rate_mahw: numeric
  rate_mapa: numeric
  rate_mash: numeric
  rate_matd: numeric
  referral_source: String
  regie_number: String
  ro_number: String
  scheduled_completion: timestamptz
  scheduled_delivery: timestamptz
  scheduled_in: timestamptz
  scoreboards: scoreboard_arr_rel_insert_input
  selling_dealer: String
  selling_dealer_contact: String
  servicing_dealer: String
  servicing_dealer_contact: String
  shopid: uuid
  special_coverage_policy: Boolean
  state_tax_rate: numeric
  status: String
  storage_payable: numeric
  tax_lbr_rt: numeric
  tax_levies_rt: numeric
  tax_paint_mat_rt: numeric
  tax_predis: numeric
  tax_prethr: numeric
  tax_pstthr: numeric
  tax_registration_number: String
  tax_str_rt: numeric
  tax_sub_rt: numeric
  tax_thramt: numeric
  tax_tow_rt: numeric
  theft_ind: Boolean
  timetickets: timetickets_arr_rel_insert_input
  tlos_ind: Boolean
  towing_payable: numeric
  unit_number: String
  updated_at: timestamptz
  v_color: String
  v_make_desc: String
  v_model_desc: String
  v_model_yr: String
  v_vin: String
  vehicle: vehicles_obj_rel_insert_input
  vehicleid: uuid
}

# aggregate max on columns
type jobs_max_fields {
  actual_completion: timestamptz
  actual_delivery: timestamptz
  actual_in: timestamptz
  adj_g_disc: numeric
  adj_strdis: numeric
  adj_towdis: numeric
  adjustment_bottom_line: numeric
  agt_addr1: String
  agt_addr2: String
  agt_city: String
  agt_co_id: String
  agt_co_nm: String
  agt_ct_fn: String
  agt_ct_ln: String
  agt_ct_ph: String
  agt_ct_phx: String
  agt_ctry: String
  agt_ea: String
  agt_fax: String
  agt_faxx: String
  agt_lic_no: String
  agt_ph1: String
  agt_ph1x: String
  agt_ph2: String
  agt_ph2x: String
  agt_st: String
  agt_zip: String
  asgn_date: date
  asgn_no: String
  asgn_type: String
  cat_no: String
  category: String
  ciecaid: String
  class: String
  clm_addr1: String
  clm_addr2: String
  clm_city: String
  clm_ct_fn: String
  clm_ct_ln: String
  clm_ct_ph: String
  clm_ct_phx: String
  clm_ctry: String
  clm_ea: String
  clm_fax: String
  clm_faxx: String
  clm_no: String
  clm_ofc_id: String
  clm_ofc_nm: String
  clm_ph1: String
  clm_ph1x: String
  clm_ph2: String
  clm_ph2x: String
  clm_st: String
  clm_title: String
  clm_total: numeric
  clm_zip: String
  created_at: timestamptz
  csr: String
  cust_pr: String
  date_closed: timestamptz
  date_estimated: timestamptz
  date_exported: timestamptz
  date_invoiced: timestamptz
  date_open: timestamptz
  date_scheduled: timestamptz
  ded_amt: numeric
  ded_status: String
  depreciation_taxes: numeric
  employee_body: uuid
  employee_prep: uuid
  employee_refinish: uuid
  est_addr1: String
  est_addr2: String
  est_city: String
  est_co_nm: String
  est_ct_fn: String
  est_ct_ln: String
  est_ctry: String
  est_ea: String
  est_number: bigint
  est_ph1: String
  est_st: String
  est_zip: String
  federal_tax_payable: numeric
  federal_tax_rate: numeric
  g_bett_amt: numeric
  id: uuid
  ins_addr1: String
  ins_addr2: String
  ins_city: String
  ins_co_id: String
  ins_co_nm: String
  ins_ct_fn: String
  ins_ct_ln: String
  ins_ct_ph: String
  ins_ct_phx: String
  ins_ctry: String
  ins_ea: String
  ins_fax: String
  ins_faxx: String
  ins_memo: String
  ins_ph1: String
  ins_ph1x: String
  ins_ph2: String
  ins_ph2x: String
  ins_st: String
  ins_title: String
  ins_zip: String
  insd_addr1: String
  insd_addr2: String
  insd_city: String
  insd_co_nm: String
  insd_ctry: String
  insd_ea: String
  insd_fax: String
  insd_faxx: String
  insd_fn: String
  insd_ln: String
  insd_ph1: String
  insd_ph1x: String
  insd_ph2: String
  insd_ph2x: String
  insd_st: String
  insd_title: String
  insd_zip: String
  invoice_date: date
  kanbanparent: String
  kmin: Int
  kmout: Int
  labor_rate_desc: String
  labor_rate_id: String
  local_tax_rate: numeric
  loss_cat: String
  loss_date: date
  loss_desc: String
  loss_type: String
  other_amount_payable: numeric
  owner_owing: numeric
  ownerid: uuid
  ownr_addr1: String
  ownr_addr2: String
  ownr_city: String
  ownr_co_nm: String
  ownr_ctry: String
  ownr_ea: String
  ownr_fax: String
  ownr_faxx: String
  ownr_fn: String
  ownr_ln: String
  ownr_ph1: String
  ownr_ph1x: String
  ownr_ph2: String
  ownr_ph2x: String
  ownr_st: String
  ownr_title: String
  ownr_zip: String
  pay_amt: numeric
  pay_chknm: String
  pay_date: date
  pay_type: String
  payee_nms: String
  plate_no: String
  plate_st: String
  po_number: String
  policy_no: String
  rate_atp: numeric
  rate_la1: numeric
  rate_la2: numeric
  rate_la3: numeric
  rate_la4: numeric
  rate_laa: numeric
  rate_lab: numeric
  rate_lad: numeric
  rate_lae: numeric
  rate_laf: numeric
  rate_lag: numeric
  rate_lam: numeric
  rate_lar: numeric
  rate_las: numeric
  rate_lau: numeric
  rate_ma2s: numeric
  rate_ma2t: numeric
  rate_ma3s: numeric
  rate_mabl: numeric
  rate_macs: numeric
  rate_mahw: numeric
  rate_mapa: numeric
  rate_mash: numeric
  rate_matd: numeric
  referral_source: String
  regie_number: String
  ro_number: String
  scheduled_completion: timestamptz
  scheduled_delivery: timestamptz
  scheduled_in: timestamptz
  selling_dealer: String
  selling_dealer_contact: String
  servicing_dealer: String
  servicing_dealer_contact: String
  shopid: uuid
  state_tax_rate: numeric
  status: String
  storage_payable: numeric
  tax_lbr_rt: numeric
  tax_levies_rt: numeric
  tax_paint_mat_rt: numeric
  tax_predis: numeric
  tax_prethr: numeric
  tax_pstthr: numeric
  tax_registration_number: String
  tax_str_rt: numeric
  tax_sub_rt: numeric
  tax_thramt: numeric
  tax_tow_rt: numeric
  towing_payable: numeric
  unit_number: String
  updated_at: timestamptz
  v_color: String
  v_make_desc: String
  v_model_desc: String
  v_model_yr: String
  v_vin: String
  vehicleid: uuid
}

# order by max() on columns of table "jobs"
input jobs_max_order_by {
  actual_completion: order_by
  actual_delivery: order_by
  actual_in: order_by
  adj_g_disc: order_by
  adj_strdis: order_by
  adj_towdis: order_by
  adjustment_bottom_line: order_by
  agt_addr1: order_by
  agt_addr2: order_by
  agt_city: order_by
  agt_co_id: order_by
  agt_co_nm: order_by
  agt_ct_fn: order_by
  agt_ct_ln: order_by
  agt_ct_ph: order_by
  agt_ct_phx: order_by
  agt_ctry: order_by
  agt_ea: order_by
  agt_fax: order_by
  agt_faxx: order_by
  agt_lic_no: order_by
  agt_ph1: order_by
  agt_ph1x: order_by
  agt_ph2: order_by
  agt_ph2x: order_by
  agt_st: order_by
  agt_zip: order_by
  asgn_date: order_by
  asgn_no: order_by
  asgn_type: order_by
  cat_no: order_by
  category: order_by
  ciecaid: order_by
  class: order_by
  clm_addr1: order_by
  clm_addr2: order_by
  clm_city: order_by
  clm_ct_fn: order_by
  clm_ct_ln: order_by
  clm_ct_ph: order_by
  clm_ct_phx: order_by
  clm_ctry: order_by
  clm_ea: order_by
  clm_fax: order_by
  clm_faxx: order_by
  clm_no: order_by
  clm_ofc_id: order_by
  clm_ofc_nm: order_by
  clm_ph1: order_by
  clm_ph1x: order_by
  clm_ph2: order_by
  clm_ph2x: order_by
  clm_st: order_by
  clm_title: order_by
  clm_total: order_by
  clm_zip: order_by
  created_at: order_by
  csr: order_by
  cust_pr: order_by
  date_closed: order_by
  date_estimated: order_by
  date_exported: order_by
  date_invoiced: order_by
  date_open: order_by
  date_scheduled: order_by
  ded_amt: order_by
  ded_status: order_by
  depreciation_taxes: order_by
  employee_body: order_by
  employee_prep: order_by
  employee_refinish: order_by
  est_addr1: order_by
  est_addr2: order_by
  est_city: order_by
  est_co_nm: order_by
  est_ct_fn: order_by
  est_ct_ln: order_by
  est_ctry: order_by
  est_ea: order_by
  est_number: order_by
  est_ph1: order_by
  est_st: order_by
  est_zip: order_by
  federal_tax_payable: order_by
  federal_tax_rate: order_by
  g_bett_amt: order_by
  id: order_by
  ins_addr1: order_by
  ins_addr2: order_by
  ins_city: order_by
  ins_co_id: order_by
  ins_co_nm: order_by
  ins_ct_fn: order_by
  ins_ct_ln: order_by
  ins_ct_ph: order_by
  ins_ct_phx: order_by
  ins_ctry: order_by
  ins_ea: order_by
  ins_fax: order_by
  ins_faxx: order_by
  ins_memo: order_by
  ins_ph1: order_by
  ins_ph1x: order_by
  ins_ph2: order_by
  ins_ph2x: order_by
  ins_st: order_by
  ins_title: order_by
  ins_zip: order_by
  insd_addr1: order_by
  insd_addr2: order_by
  insd_city: order_by
  insd_co_nm: order_by
  insd_ctry: order_by
  insd_ea: order_by
  insd_fax: order_by
  insd_faxx: order_by
  insd_fn: order_by
  insd_ln: order_by
  insd_ph1: order_by
  insd_ph1x: order_by
  insd_ph2: order_by
  insd_ph2x: order_by
  insd_st: order_by
  insd_title: order_by
  insd_zip: order_by
  invoice_date: order_by
  kanbanparent: order_by
  kmin: order_by
  kmout: order_by
  labor_rate_desc: order_by
  labor_rate_id: order_by
  local_tax_rate: order_by
  loss_cat: order_by
  loss_date: order_by
  loss_desc: order_by
  loss_type: order_by
  other_amount_payable: order_by
  owner_owing: order_by
  ownerid: order_by
  ownr_addr1: order_by
  ownr_addr2: order_by
  ownr_city: order_by
  ownr_co_nm: order_by
  ownr_ctry: order_by
  ownr_ea: order_by
  ownr_fax: order_by
  ownr_faxx: order_by
  ownr_fn: order_by
  ownr_ln: order_by
  ownr_ph1: order_by
  ownr_ph1x: order_by
  ownr_ph2: order_by
  ownr_ph2x: order_by
  ownr_st: order_by
  ownr_title: order_by
  ownr_zip: order_by
  pay_amt: order_by
  pay_chknm: order_by
  pay_date: order_by
  pay_type: order_by
  payee_nms: order_by
  plate_no: order_by
  plate_st: order_by
  po_number: order_by
  policy_no: order_by
  rate_atp: order_by
  rate_la1: order_by
  rate_la2: order_by
  rate_la3: order_by
  rate_la4: order_by
  rate_laa: order_by
  rate_lab: order_by
  rate_lad: order_by
  rate_lae: order_by
  rate_laf: order_by
  rate_lag: order_by
  rate_lam: order_by
  rate_lar: order_by
  rate_las: order_by
  rate_lau: order_by
  rate_ma2s: order_by
  rate_ma2t: order_by
  rate_ma3s: order_by
  rate_mabl: order_by
  rate_macs: order_by
  rate_mahw: order_by
  rate_mapa: order_by
  rate_mash: order_by
  rate_matd: order_by
  referral_source: order_by
  regie_number: order_by
  ro_number: order_by
  scheduled_completion: order_by
  scheduled_delivery: order_by
  scheduled_in: order_by
  selling_dealer: order_by
  selling_dealer_contact: order_by
  servicing_dealer: order_by
  servicing_dealer_contact: order_by
  shopid: order_by
  state_tax_rate: order_by
  status: order_by
  storage_payable: order_by
  tax_lbr_rt: order_by
  tax_levies_rt: order_by
  tax_paint_mat_rt: order_by
  tax_predis: order_by
  tax_prethr: order_by
  tax_pstthr: order_by
  tax_registration_number: order_by
  tax_str_rt: order_by
  tax_sub_rt: order_by
  tax_thramt: order_by
  tax_tow_rt: order_by
  towing_payable: order_by
  unit_number: order_by
  updated_at: order_by
  v_color: order_by
  v_make_desc: order_by
  v_model_desc: order_by
  v_model_yr: order_by
  v_vin: order_by
  vehicleid: order_by
}

# aggregate min on columns
type jobs_min_fields {
  actual_completion: timestamptz
  actual_delivery: timestamptz
  actual_in: timestamptz
  adj_g_disc: numeric
  adj_strdis: numeric
  adj_towdis: numeric
  adjustment_bottom_line: numeric
  agt_addr1: String
  agt_addr2: String
  agt_city: String
  agt_co_id: String
  agt_co_nm: String
  agt_ct_fn: String
  agt_ct_ln: String
  agt_ct_ph: String
  agt_ct_phx: String
  agt_ctry: String
  agt_ea: String
  agt_fax: String
  agt_faxx: String
  agt_lic_no: String
  agt_ph1: String
  agt_ph1x: String
  agt_ph2: String
  agt_ph2x: String
  agt_st: String
  agt_zip: String
  asgn_date: date
  asgn_no: String
  asgn_type: String
  cat_no: String
  category: String
  ciecaid: String
  class: String
  clm_addr1: String
  clm_addr2: String
  clm_city: String
  clm_ct_fn: String
  clm_ct_ln: String
  clm_ct_ph: String
  clm_ct_phx: String
  clm_ctry: String
  clm_ea: String
  clm_fax: String
  clm_faxx: String
  clm_no: String
  clm_ofc_id: String
  clm_ofc_nm: String
  clm_ph1: String
  clm_ph1x: String
  clm_ph2: String
  clm_ph2x: String
  clm_st: String
  clm_title: String
  clm_total: numeric
  clm_zip: String
  created_at: timestamptz
  csr: String
  cust_pr: String
  date_closed: timestamptz
  date_estimated: timestamptz
  date_exported: timestamptz
  date_invoiced: timestamptz
  date_open: timestamptz
  date_scheduled: timestamptz
  ded_amt: numeric
  ded_status: String
  depreciation_taxes: numeric
  employee_body: uuid
  employee_prep: uuid
  employee_refinish: uuid
  est_addr1: String
  est_addr2: String
  est_city: String
  est_co_nm: String
  est_ct_fn: String
  est_ct_ln: String
  est_ctry: String
  est_ea: String
  est_number: bigint
  est_ph1: String
  est_st: String
  est_zip: String
  federal_tax_payable: numeric
  federal_tax_rate: numeric
  g_bett_amt: numeric
  id: uuid
  ins_addr1: String
  ins_addr2: String
  ins_city: String
  ins_co_id: String
  ins_co_nm: String
  ins_ct_fn: String
  ins_ct_ln: String
  ins_ct_ph: String
  ins_ct_phx: String
  ins_ctry: String
  ins_ea: String
  ins_fax: String
  ins_faxx: String
  ins_memo: String
  ins_ph1: String
  ins_ph1x: String
  ins_ph2: String
  ins_ph2x: String
  ins_st: String
  ins_title: String
  ins_zip: String
  insd_addr1: String
  insd_addr2: String
  insd_city: String
  insd_co_nm: String
  insd_ctry: String
  insd_ea: String
  insd_fax: String
  insd_faxx: String
  insd_fn: String
  insd_ln: String
  insd_ph1: String
  insd_ph1x: String
  insd_ph2: String
  insd_ph2x: String
  insd_st: String
  insd_title: String
  insd_zip: String
  invoice_date: date
  kanbanparent: String
  kmin: Int
  kmout: Int
  labor_rate_desc: String
  labor_rate_id: String
  local_tax_rate: numeric
  loss_cat: String
  loss_date: date
  loss_desc: String
  loss_type: String
  other_amount_payable: numeric
  owner_owing: numeric
  ownerid: uuid
  ownr_addr1: String
  ownr_addr2: String
  ownr_city: String
  ownr_co_nm: String
  ownr_ctry: String
  ownr_ea: String
  ownr_fax: String
  ownr_faxx: String
  ownr_fn: String
  ownr_ln: String
  ownr_ph1: String
  ownr_ph1x: String
  ownr_ph2: String
  ownr_ph2x: String
  ownr_st: String
  ownr_title: String
  ownr_zip: String
  pay_amt: numeric
  pay_chknm: String
  pay_date: date
  pay_type: String
  payee_nms: String
  plate_no: String
  plate_st: String
  po_number: String
  policy_no: String
  rate_atp: numeric
  rate_la1: numeric
  rate_la2: numeric
  rate_la3: numeric
  rate_la4: numeric
  rate_laa: numeric
  rate_lab: numeric
  rate_lad: numeric
  rate_lae: numeric
  rate_laf: numeric
  rate_lag: numeric
  rate_lam: numeric
  rate_lar: numeric
  rate_las: numeric
  rate_lau: numeric
  rate_ma2s: numeric
  rate_ma2t: numeric
  rate_ma3s: numeric
  rate_mabl: numeric
  rate_macs: numeric
  rate_mahw: numeric
  rate_mapa: numeric
  rate_mash: numeric
  rate_matd: numeric
  referral_source: String
  regie_number: String
  ro_number: String
  scheduled_completion: timestamptz
  scheduled_delivery: timestamptz
  scheduled_in: timestamptz
  selling_dealer: String
  selling_dealer_contact: String
  servicing_dealer: String
  servicing_dealer_contact: String
  shopid: uuid
  state_tax_rate: numeric
  status: String
  storage_payable: numeric
  tax_lbr_rt: numeric
  tax_levies_rt: numeric
  tax_paint_mat_rt: numeric
  tax_predis: numeric
  tax_prethr: numeric
  tax_pstthr: numeric
  tax_registration_number: String
  tax_str_rt: numeric
  tax_sub_rt: numeric
  tax_thramt: numeric
  tax_tow_rt: numeric
  towing_payable: numeric
  unit_number: String
  updated_at: timestamptz
  v_color: String
  v_make_desc: String
  v_model_desc: String
  v_model_yr: String
  v_vin: String
  vehicleid: uuid
}

# order by min() on columns of table "jobs"
input jobs_min_order_by {
  actual_completion: order_by
  actual_delivery: order_by
  actual_in: order_by
  adj_g_disc: order_by
  adj_strdis: order_by
  adj_towdis: order_by
  adjustment_bottom_line: order_by
  agt_addr1: order_by
  agt_addr2: order_by
  agt_city: order_by
  agt_co_id: order_by
  agt_co_nm: order_by
  agt_ct_fn: order_by
  agt_ct_ln: order_by
  agt_ct_ph: order_by
  agt_ct_phx: order_by
  agt_ctry: order_by
  agt_ea: order_by
  agt_fax: order_by
  agt_faxx: order_by
  agt_lic_no: order_by
  agt_ph1: order_by
  agt_ph1x: order_by
  agt_ph2: order_by
  agt_ph2x: order_by
  agt_st: order_by
  agt_zip: order_by
  asgn_date: order_by
  asgn_no: order_by
  asgn_type: order_by
  cat_no: order_by
  category: order_by
  ciecaid: order_by
  class: order_by
  clm_addr1: order_by
  clm_addr2: order_by
  clm_city: order_by
  clm_ct_fn: order_by
  clm_ct_ln: order_by
  clm_ct_ph: order_by
  clm_ct_phx: order_by
  clm_ctry: order_by
  clm_ea: order_by
  clm_fax: order_by
  clm_faxx: order_by
  clm_no: order_by
  clm_ofc_id: order_by
  clm_ofc_nm: order_by
  clm_ph1: order_by
  clm_ph1x: order_by
  clm_ph2: order_by
  clm_ph2x: order_by
  clm_st: order_by
  clm_title: order_by
  clm_total: order_by
  clm_zip: order_by
  created_at: order_by
  csr: order_by
  cust_pr: order_by
  date_closed: order_by
  date_estimated: order_by
  date_exported: order_by
  date_invoiced: order_by
  date_open: order_by
  date_scheduled: order_by
  ded_amt: order_by
  ded_status: order_by
  depreciation_taxes: order_by
  employee_body: order_by
  employee_prep: order_by
  employee_refinish: order_by
  est_addr1: order_by
  est_addr2: order_by
  est_city: order_by
  est_co_nm: order_by
  est_ct_fn: order_by
  est_ct_ln: order_by
  est_ctry: order_by
  est_ea: order_by
  est_number: order_by
  est_ph1: order_by
  est_st: order_by
  est_zip: order_by
  federal_tax_payable: order_by
  federal_tax_rate: order_by
  g_bett_amt: order_by
  id: order_by
  ins_addr1: order_by
  ins_addr2: order_by
  ins_city: order_by
  ins_co_id: order_by
  ins_co_nm: order_by
  ins_ct_fn: order_by
  ins_ct_ln: order_by
  ins_ct_ph: order_by
  ins_ct_phx: order_by
  ins_ctry: order_by
  ins_ea: order_by
  ins_fax: order_by
  ins_faxx: order_by
  ins_memo: order_by
  ins_ph1: order_by
  ins_ph1x: order_by
  ins_ph2: order_by
  ins_ph2x: order_by
  ins_st: order_by
  ins_title: order_by
  ins_zip: order_by
  insd_addr1: order_by
  insd_addr2: order_by
  insd_city: order_by
  insd_co_nm: order_by
  insd_ctry: order_by
  insd_ea: order_by
  insd_fax: order_by
  insd_faxx: order_by
  insd_fn: order_by
  insd_ln: order_by
  insd_ph1: order_by
  insd_ph1x: order_by
  insd_ph2: order_by
  insd_ph2x: order_by
  insd_st: order_by
  insd_title: order_by
  insd_zip: order_by
  invoice_date: order_by
  kanbanparent: order_by
  kmin: order_by
  kmout: order_by
  labor_rate_desc: order_by
  labor_rate_id: order_by
  local_tax_rate: order_by
  loss_cat: order_by
  loss_date: order_by
  loss_desc: order_by
  loss_type: order_by
  other_amount_payable: order_by
  owner_owing: order_by
  ownerid: order_by
  ownr_addr1: order_by
  ownr_addr2: order_by
  ownr_city: order_by
  ownr_co_nm: order_by
  ownr_ctry: order_by
  ownr_ea: order_by
  ownr_fax: order_by
  ownr_faxx: order_by
  ownr_fn: order_by
  ownr_ln: order_by
  ownr_ph1: order_by
  ownr_ph1x: order_by
  ownr_ph2: order_by
  ownr_ph2x: order_by
  ownr_st: order_by
  ownr_title: order_by
  ownr_zip: order_by
  pay_amt: order_by
  pay_chknm: order_by
  pay_date: order_by
  pay_type: order_by
  payee_nms: order_by
  plate_no: order_by
  plate_st: order_by
  po_number: order_by
  policy_no: order_by
  rate_atp: order_by
  rate_la1: order_by
  rate_la2: order_by
  rate_la3: order_by
  rate_la4: order_by
  rate_laa: order_by
  rate_lab: order_by
  rate_lad: order_by
  rate_lae: order_by
  rate_laf: order_by
  rate_lag: order_by
  rate_lam: order_by
  rate_lar: order_by
  rate_las: order_by
  rate_lau: order_by
  rate_ma2s: order_by
  rate_ma2t: order_by
  rate_ma3s: order_by
  rate_mabl: order_by
  rate_macs: order_by
  rate_mahw: order_by
  rate_mapa: order_by
  rate_mash: order_by
  rate_matd: order_by
  referral_source: order_by
  regie_number: order_by
  ro_number: order_by
  scheduled_completion: order_by
  scheduled_delivery: order_by
  scheduled_in: order_by
  selling_dealer: order_by
  selling_dealer_contact: order_by
  servicing_dealer: order_by
  servicing_dealer_contact: order_by
  shopid: order_by
  state_tax_rate: order_by
  status: order_by
  storage_payable: order_by
  tax_lbr_rt: order_by
  tax_levies_rt: order_by
  tax_paint_mat_rt: order_by
  tax_predis: order_by
  tax_prethr: order_by
  tax_pstthr: order_by
  tax_registration_number: order_by
  tax_str_rt: order_by
  tax_sub_rt: order_by
  tax_thramt: order_by
  tax_tow_rt: order_by
  towing_payable: order_by
  unit_number: order_by
  updated_at: order_by
  v_color: order_by
  v_make_desc: order_by
  v_model_desc: order_by
  v_model_yr: order_by
  v_vin: order_by
  vehicleid: order_by
}

# response of any mutation on the table "jobs"
type jobs_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [jobs!]!
}

# input type for inserting object relation for remote table "jobs"
input jobs_obj_rel_insert_input {
  data: jobs_insert_input!
  on_conflict: jobs_on_conflict
}

# on conflict condition type for table "jobs"
input jobs_on_conflict {
  constraint: jobs_constraint!
  update_columns: [jobs_update_column!]!
  where: jobs_bool_exp
}

# ordering options when selecting data from "jobs"
input jobs_order_by {
  actual_completion: order_by
  actual_delivery: order_by
  actual_in: order_by
  adj_g_disc: order_by
  adj_strdis: order_by
  adj_towdis: order_by
  adjustment_bottom_line: order_by
  agt_addr1: order_by
  agt_addr2: order_by
  agt_city: order_by
  agt_co_id: order_by
  agt_co_nm: order_by
  agt_ct_fn: order_by
  agt_ct_ln: order_by
  agt_ct_ph: order_by
  agt_ct_phx: order_by
  agt_ctry: order_by
  agt_ea: order_by
  agt_fax: order_by
  agt_faxx: order_by
  agt_lic_no: order_by
  agt_ph1: order_by
  agt_ph1x: order_by
  agt_ph2: order_by
  agt_ph2x: order_by
  agt_st: order_by
  agt_zip: order_by
  appointments_aggregate: appointments_aggregate_order_by
  area_of_damage: order_by
  asgn_date: order_by
  asgn_no: order_by
  asgn_type: order_by
  available_jobs_aggregate: available_jobs_aggregate_order_by
  bodyshop: bodyshops_order_by
  cat_no: order_by
  category: order_by
  cccontracts_aggregate: cccontracts_aggregate_order_by
  cieca_stl: order_by
  cieca_ttl: order_by
  ciecaid: order_by
  class: order_by
  clm_addr1: order_by
  clm_addr2: order_by
  clm_city: order_by
  clm_ct_fn: order_by
  clm_ct_ln: order_by
  clm_ct_ph: order_by
  clm_ct_phx: order_by
  clm_ctry: order_by
  clm_ea: order_by
  clm_fax: order_by
  clm_faxx: order_by
  clm_no: order_by
  clm_ofc_id: order_by
  clm_ofc_nm: order_by
  clm_ph1: order_by
  clm_ph1x: order_by
  clm_ph2: order_by
  clm_ph2x: order_by
  clm_st: order_by
  clm_title: order_by
  clm_total: order_by
  clm_zip: order_by
  converted: order_by
  created_at: order_by
  csiinvites_aggregate: csi_aggregate_order_by
  csr: order_by
  cust_pr: order_by
  date_closed: order_by
  date_estimated: order_by
  date_exported: order_by
  date_invoiced: order_by
  date_open: order_by
  date_scheduled: order_by
  ded_amt: order_by
  ded_status: order_by
  deliverchecklist: order_by
  depreciation_taxes: order_by
  documents_aggregate: documents_aggregate_order_by
  employee_body: order_by
  employee_body_rel: employees_order_by
  employee_prep: order_by
  employee_prep_rel: employees_order_by
  employee_refinish: order_by
  employee_refinish_rel: employees_order_by
  est_addr1: order_by
  est_addr2: order_by
  est_city: order_by
  est_co_nm: order_by
  est_ct_fn: order_by
  est_ct_ln: order_by
  est_ctry: order_by
  est_ea: order_by
  est_number: order_by
  est_ph1: order_by
  est_st: order_by
  est_zip: order_by
  federal_tax_payable: order_by
  federal_tax_rate: order_by
  g_bett_amt: order_by
  id: order_by
  inproduction: order_by
  ins_addr1: order_by
  ins_addr2: order_by
  ins_city: order_by
  ins_co_id: order_by
  ins_co_nm: order_by
  ins_ct_fn: order_by
  ins_ct_ln: order_by
  ins_ct_ph: order_by
  ins_ct_phx: order_by
  ins_ctry: order_by
  ins_ea: order_by
  ins_fax: order_by
  ins_faxx: order_by
  ins_memo: order_by
  ins_ph1: order_by
  ins_ph1x: order_by
  ins_ph2: order_by
  ins_ph2x: order_by
  ins_st: order_by
  ins_title: order_by
  ins_zip: order_by
  insd_addr1: order_by
  insd_addr2: order_by
  insd_city: order_by
  insd_co_nm: order_by
  insd_ctry: order_by
  insd_ea: order_by
  insd_fax: order_by
  insd_faxx: order_by
  insd_fn: order_by
  insd_ln: order_by
  insd_ph1: order_by
  insd_ph1x: order_by
  insd_ph2: order_by
  insd_ph2x: order_by
  insd_st: order_by
  insd_title: order_by
  insd_zip: order_by
  intakechecklist: order_by
  invoice: invoices_order_by
  invoice_allocation: order_by
  invoice_date: order_by
  invoices_aggregate: invoices_aggregate_order_by
  job_conversations_aggregate: job_conversations_aggregate_order_by
  job_totals: order_by
  joblines_aggregate: joblines_aggregate_order_by
  joblines_status_aggregate: joblines_status_aggregate_order_by
  kanbanparent: order_by
  kmin: order_by
  kmout: order_by
  labor_rate_desc: order_by
  labor_rate_id: order_by
  local_tax_rate: order_by
  loss_cat: order_by
  loss_date: order_by
  loss_desc: order_by
  loss_type: order_by
  notes_aggregate: notes_aggregate_order_by
  other_amount_payable: order_by
  owner: owners_order_by
  owner_owing: order_by
  ownerid: order_by
  ownr_addr1: order_by
  ownr_addr2: order_by
  ownr_city: order_by
  ownr_co_nm: order_by
  ownr_ctry: order_by
  ownr_ea: order_by
  ownr_fax: order_by
  ownr_faxx: order_by
  ownr_fn: order_by
  ownr_ln: order_by
  ownr_ph1: order_by
  ownr_ph1x: order_by
  ownr_ph2: order_by
  ownr_ph2x: order_by
  ownr_st: order_by
  ownr_title: order_by
  ownr_zip: order_by
  parts_orders_aggregate: parts_orders_aggregate_order_by
  parts_tax_rates: order_by
  pay_amt: order_by
  pay_chknm: order_by
  pay_date: order_by
  pay_type: order_by
  payee_nms: order_by
  payments_aggregate: payments_aggregate_order_by
  plate_no: order_by
  plate_st: order_by
  po_number: order_by
  policy_no: order_by
  production_vars: order_by
  rate_atp: order_by
  rate_la1: order_by
  rate_la2: order_by
  rate_la3: order_by
  rate_la4: order_by
  rate_laa: order_by
  rate_lab: order_by
  rate_lad: order_by
  rate_lae: order_by
  rate_laf: order_by
  rate_lag: order_by
  rate_lam: order_by
  rate_lar: order_by
  rate_las: order_by
  rate_lau: order_by
  rate_ma2s: order_by
  rate_ma2t: order_by
  rate_ma3s: order_by
  rate_mabl: order_by
  rate_macs: order_by
  rate_mahw: order_by
  rate_mapa: order_by
  rate_mash: order_by
  rate_matd: order_by
  referral_source: order_by
  regie_number: order_by
  ro_number: order_by
  scheduled_completion: order_by
  scheduled_delivery: order_by
  scheduled_in: order_by
  scoreboards_aggregate: scoreboard_aggregate_order_by
  selling_dealer: order_by
  selling_dealer_contact: order_by
  servicing_dealer: order_by
  servicing_dealer_contact: order_by
  shopid: order_by
  special_coverage_policy: order_by
  state_tax_rate: order_by
  status: order_by
  storage_payable: order_by
  tax_lbr_rt: order_by
  tax_levies_rt: order_by
  tax_paint_mat_rt: order_by
  tax_predis: order_by
  tax_prethr: order_by
  tax_pstthr: order_by
  tax_registration_number: order_by
  tax_str_rt: order_by
  tax_sub_rt: order_by
  tax_thramt: order_by
  tax_tow_rt: order_by
  theft_ind: order_by
  timetickets_aggregate: timetickets_aggregate_order_by
  tlos_ind: order_by
  towing_payable: order_by
  unit_number: order_by
  updated_at: order_by
  v_color: order_by
  v_make_desc: order_by
  v_model_desc: order_by
  v_model_yr: order_by
  v_vin: order_by
  vehicle: vehicles_order_by
  vehicleid: order_by
}

# primary key columns input for table: "jobs"
input jobs_pk_columns_input {
  id: uuid!
}

# prepend existing jsonb value of filtered columns with new jsonb value
input jobs_prepend_input {
  area_of_damage: jsonb
  cieca_stl: jsonb
  cieca_ttl: jsonb
  deliverchecklist: jsonb
  intakechecklist: jsonb
  invoice_allocation: jsonb
  job_totals: jsonb
  parts_tax_rates: jsonb
  production_vars: jsonb
}

# select columns of table "jobs"
enum jobs_select_column {
  # column name
  actual_completion

  # column name
  actual_delivery

  # column name
  actual_in

  # column name
  adj_g_disc

  # column name
  adj_strdis

  # column name
  adj_towdis

  # column name
  adjustment_bottom_line

  # column name
  agt_addr1

  # column name
  agt_addr2

  # column name
  agt_city

  # column name
  agt_co_id

  # column name
  agt_co_nm

  # column name
  agt_ct_fn

  # column name
  agt_ct_ln

  # column name
  agt_ct_ph

  # column name
  agt_ct_phx

  # column name
  agt_ctry

  # column name
  agt_ea

  # column name
  agt_fax

  # column name
  agt_faxx

  # column name
  agt_lic_no

  # column name
  agt_ph1

  # column name
  agt_ph1x

  # column name
  agt_ph2

  # column name
  agt_ph2x

  # column name
  agt_st

  # column name
  agt_zip

  # column name
  area_of_damage

  # column name
  asgn_date

  # column name
  asgn_no

  # column name
  asgn_type

  # column name
  cat_no

  # column name
  category

  # column name
  cieca_stl

  # column name
  cieca_ttl

  # column name
  ciecaid

  # column name
  class

  # column name
  clm_addr1

  # column name
  clm_addr2

  # column name
  clm_city

  # column name
  clm_ct_fn

  # column name
  clm_ct_ln

  # column name
  clm_ct_ph

  # column name
  clm_ct_phx

  # column name
  clm_ctry

  # column name
  clm_ea

  # column name
  clm_fax

  # column name
  clm_faxx

  # column name
  clm_no

  # column name
  clm_ofc_id

  # column name
  clm_ofc_nm

  # column name
  clm_ph1

  # column name
  clm_ph1x

  # column name
  clm_ph2

  # column name
  clm_ph2x

  # column name
  clm_st

  # column name
  clm_title

  # column name
  clm_total

  # column name
  clm_zip

  # column name
  converted

  # column name
  created_at

  # column name
  csr

  # column name
  cust_pr

  # column name
  date_closed

  # column name
  date_estimated

  # column name
  date_exported

  # column name
  date_invoiced

  # column name
  date_open

  # column name
  date_scheduled

  # column name
  ded_amt

  # column name
  ded_status

  # column name
  deliverchecklist

  # column name
  depreciation_taxes

  # column name
  employee_body

  # column name
  employee_prep

  # column name
  employee_refinish

  # column name
  est_addr1

  # column name
  est_addr2

  # column name
  est_city

  # column name
  est_co_nm

  # column name
  est_ct_fn

  # column name
  est_ct_ln

  # column name
  est_ctry

  # column name
  est_ea

  # column name
  est_number

  # column name
  est_ph1

  # column name
  est_st

  # column name
  est_zip

  # column name
  federal_tax_payable

  # column name
  federal_tax_rate

  # column name
  g_bett_amt

  # column name
  id

  # column name
  inproduction

  # column name
  ins_addr1

  # column name
  ins_addr2

  # column name
  ins_city

  # column name
  ins_co_id

  # column name
  ins_co_nm

  # column name
  ins_ct_fn

  # column name
  ins_ct_ln

  # column name
  ins_ct_ph

  # column name
  ins_ct_phx

  # column name
  ins_ctry

  # column name
  ins_ea

  # column name
  ins_fax

  # column name
  ins_faxx

  # column name
  ins_memo

  # column name
  ins_ph1

  # column name
  ins_ph1x

  # column name
  ins_ph2

  # column name
  ins_ph2x

  # column name
  ins_st

  # column name
  ins_title

  # column name
  ins_zip

  # column name
  insd_addr1

  # column name
  insd_addr2

  # column name
  insd_city

  # column name
  insd_co_nm

  # column name
  insd_ctry

  # column name
  insd_ea

  # column name
  insd_fax

  # column name
  insd_faxx

  # column name
  insd_fn

  # column name
  insd_ln

  # column name
  insd_ph1

  # column name
  insd_ph1x

  # column name
  insd_ph2

  # column name
  insd_ph2x

  # column name
  insd_st

  # column name
  insd_title

  # column name
  insd_zip

  # column name
  intakechecklist

  # column name
  invoice_allocation

  # column name
  invoice_date

  # column name
  job_totals

  # column name
  kanbanparent

  # column name
  kmin

  # column name
  kmout

  # column name
  labor_rate_desc

  # column name
  labor_rate_id

  # column name
  local_tax_rate

  # column name
  loss_cat

  # column name
  loss_date

  # column name
  loss_desc

  # column name
  loss_type

  # column name
  other_amount_payable

  # column name
  owner_owing

  # column name
  ownerid

  # column name
  ownr_addr1

  # column name
  ownr_addr2

  # column name
  ownr_city

  # column name
  ownr_co_nm

  # column name
  ownr_ctry

  # column name
  ownr_ea

  # column name
  ownr_fax

  # column name
  ownr_faxx

  # column name
  ownr_fn

  # column name
  ownr_ln

  # column name
  ownr_ph1

  # column name
  ownr_ph1x

  # column name
  ownr_ph2

  # column name
  ownr_ph2x

  # column name
  ownr_st

  # column name
  ownr_title

  # column name
  ownr_zip

  # column name
  parts_tax_rates

  # column name
  pay_amt

  # column name
  pay_chknm

  # column name
  pay_date

  # column name
  pay_type

  # column name
  payee_nms

  # column name
  plate_no

  # column name
  plate_st

  # column name
  po_number

  # column name
  policy_no

  # column name
  production_vars

  # column name
  rate_atp

  # column name
  rate_la1

  # column name
  rate_la2

  # column name
  rate_la3

  # column name
  rate_la4

  # column name
  rate_laa

  # column name
  rate_lab

  # column name
  rate_lad

  # column name
  rate_lae

  # column name
  rate_laf

  # column name
  rate_lag

  # column name
  rate_lam

  # column name
  rate_lar

  # column name
  rate_las

  # column name
  rate_lau

  # column name
  rate_ma2s

  # column name
  rate_ma2t

  # column name
  rate_ma3s

  # column name
  rate_mabl

  # column name
  rate_macs

  # column name
  rate_mahw

  # column name
  rate_mapa

  # column name
  rate_mash

  # column name
  rate_matd

  # column name
  referral_source

  # column name
  regie_number

  # column name
  ro_number

  # column name
  scheduled_completion

  # column name
  scheduled_delivery

  # column name
  scheduled_in

  # column name
  selling_dealer

  # column name
  selling_dealer_contact

  # column name
  servicing_dealer

  # column name
  servicing_dealer_contact

  # column name
  shopid

  # column name
  special_coverage_policy

  # column name
  state_tax_rate

  # column name
  status

  # column name
  storage_payable

  # column name
  tax_lbr_rt

  # column name
  tax_levies_rt

  # column name
  tax_paint_mat_rt

  # column name
  tax_predis

  # column name
  tax_prethr

  # column name
  tax_pstthr

  # column name
  tax_registration_number

  # column name
  tax_str_rt

  # column name
  tax_sub_rt

  # column name
  tax_thramt

  # column name
  tax_tow_rt

  # column name
  theft_ind

  # column name
  tlos_ind

  # column name
  towing_payable

  # column name
  unit_number

  # column name
  updated_at

  # column name
  v_color

  # column name
  v_make_desc

  # column name
  v_model_desc

  # column name
  v_model_yr

  # column name
  v_vin

  # column name
  vehicleid
}

# input type for updating data in table "jobs"
input jobs_set_input {
  actual_completion: timestamptz
  actual_delivery: timestamptz
  actual_in: timestamptz
  adj_g_disc: numeric
  adj_strdis: numeric
  adj_towdis: numeric
  adjustment_bottom_line: numeric
  agt_addr1: String
  agt_addr2: String
  agt_city: String
  agt_co_id: String
  agt_co_nm: String
  agt_ct_fn: String
  agt_ct_ln: String
  agt_ct_ph: String
  agt_ct_phx: String
  agt_ctry: String
  agt_ea: String
  agt_fax: String
  agt_faxx: String
  agt_lic_no: String
  agt_ph1: String
  agt_ph1x: String
  agt_ph2: String
  agt_ph2x: String
  agt_st: String
  agt_zip: String
  area_of_damage: jsonb
  asgn_date: date
  asgn_no: String
  asgn_type: String
  cat_no: String
  category: String
  cieca_stl: jsonb
  cieca_ttl: jsonb
  ciecaid: String
  class: String
  clm_addr1: String
  clm_addr2: String
  clm_city: String
  clm_ct_fn: String
  clm_ct_ln: String
  clm_ct_ph: String
  clm_ct_phx: String
  clm_ctry: String
  clm_ea: String
  clm_fax: String
  clm_faxx: String
  clm_no: String
  clm_ofc_id: String
  clm_ofc_nm: String
  clm_ph1: String
  clm_ph1x: String
  clm_ph2: String
  clm_ph2x: String
  clm_st: String
  clm_title: String
  clm_total: numeric
  clm_zip: String
  converted: Boolean
  created_at: timestamptz
  csr: String
  cust_pr: String
  date_closed: timestamptz
  date_estimated: timestamptz
  date_exported: timestamptz
  date_invoiced: timestamptz
  date_open: timestamptz
  date_scheduled: timestamptz
  ded_amt: numeric
  ded_status: String
  deliverchecklist: jsonb
  depreciation_taxes: numeric
  employee_body: uuid
  employee_prep: uuid
  employee_refinish: uuid
  est_addr1: String
  est_addr2: String
  est_city: String
  est_co_nm: String
  est_ct_fn: String
  est_ct_ln: String
  est_ctry: String
  est_ea: String
  est_number: bigint
  est_ph1: String
  est_st: String
  est_zip: String
  federal_tax_payable: numeric
  federal_tax_rate: numeric
  g_bett_amt: numeric
  id: uuid
  inproduction: Boolean
  ins_addr1: String
  ins_addr2: String
  ins_city: String
  ins_co_id: String
  ins_co_nm: String
  ins_ct_fn: String
  ins_ct_ln: String
  ins_ct_ph: String
  ins_ct_phx: String
  ins_ctry: String
  ins_ea: String
  ins_fax: String
  ins_faxx: String
  ins_memo: String
  ins_ph1: String
  ins_ph1x: String
  ins_ph2: String
  ins_ph2x: String
  ins_st: String
  ins_title: String
  ins_zip: String
  insd_addr1: String
  insd_addr2: String
  insd_city: String
  insd_co_nm: String
  insd_ctry: String
  insd_ea: String
  insd_fax: String
  insd_faxx: String
  insd_fn: String
  insd_ln: String
  insd_ph1: String
  insd_ph1x: String
  insd_ph2: String
  insd_ph2x: String
  insd_st: String
  insd_title: String
  insd_zip: String
  intakechecklist: jsonb
  invoice_allocation: jsonb
  invoice_date: date
  job_totals: jsonb
  kanbanparent: String
  kmin: Int
  kmout: Int
  labor_rate_desc: String
  labor_rate_id: String
  local_tax_rate: numeric
  loss_cat: String
  loss_date: date
  loss_desc: String
  loss_type: String
  other_amount_payable: numeric
  owner_owing: numeric
  ownerid: uuid
  ownr_addr1: String
  ownr_addr2: String
  ownr_city: String
  ownr_co_nm: String
  ownr_ctry: String
  ownr_ea: String
  ownr_fax: String
  ownr_faxx: String
  ownr_fn: String
  ownr_ln: String
  ownr_ph1: String
  ownr_ph1x: String
  ownr_ph2: String
  ownr_ph2x: String
  ownr_st: String
  ownr_title: String
  ownr_zip: String
  parts_tax_rates: jsonb
  pay_amt: numeric
  pay_chknm: String
  pay_date: date
  pay_type: String
  payee_nms: String
  plate_no: String
  plate_st: String
  po_number: String
  policy_no: String
  production_vars: jsonb
  rate_atp: numeric
  rate_la1: numeric
  rate_la2: numeric
  rate_la3: numeric
  rate_la4: numeric
  rate_laa: numeric
  rate_lab: numeric
  rate_lad: numeric
  rate_lae: numeric
  rate_laf: numeric
  rate_lag: numeric
  rate_lam: numeric
  rate_lar: numeric
  rate_las: numeric
  rate_lau: numeric
  rate_ma2s: numeric
  rate_ma2t: numeric
  rate_ma3s: numeric
  rate_mabl: numeric
  rate_macs: numeric
  rate_mahw: numeric
  rate_mapa: numeric
  rate_mash: numeric
  rate_matd: numeric
  referral_source: String
  regie_number: String
  ro_number: String
  scheduled_completion: timestamptz
  scheduled_delivery: timestamptz
  scheduled_in: timestamptz
  selling_dealer: String
  selling_dealer_contact: String
  servicing_dealer: String
  servicing_dealer_contact: String
  shopid: uuid
  special_coverage_policy: Boolean
  state_tax_rate: numeric
  status: String
  storage_payable: numeric
  tax_lbr_rt: numeric
  tax_levies_rt: numeric
  tax_paint_mat_rt: numeric
  tax_predis: numeric
  tax_prethr: numeric
  tax_pstthr: numeric
  tax_registration_number: String
  tax_str_rt: numeric
  tax_sub_rt: numeric
  tax_thramt: numeric
  tax_tow_rt: numeric
  theft_ind: Boolean
  tlos_ind: Boolean
  towing_payable: numeric
  unit_number: String
  updated_at: timestamptz
  v_color: String
  v_make_desc: String
  v_model_desc: String
  v_model_yr: String
  v_vin: String
  vehicleid: uuid
}

# aggregate stddev on columns
type jobs_stddev_fields {
  adj_g_disc: Float
  adj_strdis: Float
  adj_towdis: Float
  adjustment_bottom_line: Float
  clm_total: Float
  ded_amt: Float
  depreciation_taxes: Float
  est_number: Float
  federal_tax_payable: Float
  federal_tax_rate: Float
  g_bett_amt: Float
  kmin: Float
  kmout: Float
  local_tax_rate: Float
  other_amount_payable: Float
  owner_owing: Float
  pay_amt: Float
  rate_atp: Float
  rate_la1: Float
  rate_la2: Float
  rate_la3: Float
  rate_la4: Float
  rate_laa: Float
  rate_lab: Float
  rate_lad: Float
  rate_lae: Float
  rate_laf: Float
  rate_lag: Float
  rate_lam: Float
  rate_lar: Float
  rate_las: Float
  rate_lau: Float
  rate_ma2s: Float
  rate_ma2t: Float
  rate_ma3s: Float
  rate_mabl: Float
  rate_macs: Float
  rate_mahw: Float
  rate_mapa: Float
  rate_mash: Float
  rate_matd: Float
  state_tax_rate: Float
  storage_payable: Float
  tax_lbr_rt: Float
  tax_levies_rt: Float
  tax_paint_mat_rt: Float
  tax_predis: Float
  tax_prethr: Float
  tax_pstthr: Float
  tax_str_rt: Float
  tax_sub_rt: Float
  tax_thramt: Float
  tax_tow_rt: Float
  towing_payable: Float
}

# order by stddev() on columns of table "jobs"
input jobs_stddev_order_by {
  adj_g_disc: order_by
  adj_strdis: order_by
  adj_towdis: order_by
  adjustment_bottom_line: order_by
  clm_total: order_by
  ded_amt: order_by
  depreciation_taxes: order_by
  est_number: order_by
  federal_tax_payable: order_by
  federal_tax_rate: order_by
  g_bett_amt: order_by
  kmin: order_by
  kmout: order_by
  local_tax_rate: order_by
  other_amount_payable: order_by
  owner_owing: order_by
  pay_amt: order_by
  rate_atp: order_by
  rate_la1: order_by
  rate_la2: order_by
  rate_la3: order_by
  rate_la4: order_by
  rate_laa: order_by
  rate_lab: order_by
  rate_lad: order_by
  rate_lae: order_by
  rate_laf: order_by
  rate_lag: order_by
  rate_lam: order_by
  rate_lar: order_by
  rate_las: order_by
  rate_lau: order_by
  rate_ma2s: order_by
  rate_ma2t: order_by
  rate_ma3s: order_by
  rate_mabl: order_by
  rate_macs: order_by
  rate_mahw: order_by
  rate_mapa: order_by
  rate_mash: order_by
  rate_matd: order_by
  state_tax_rate: order_by
  storage_payable: order_by
  tax_lbr_rt: order_by
  tax_levies_rt: order_by
  tax_paint_mat_rt: order_by
  tax_predis: order_by
  tax_prethr: order_by
  tax_pstthr: order_by
  tax_str_rt: order_by
  tax_sub_rt: order_by
  tax_thramt: order_by
  tax_tow_rt: order_by
  towing_payable: order_by
}

# aggregate stddev_pop on columns
type jobs_stddev_pop_fields {
  adj_g_disc: Float
  adj_strdis: Float
  adj_towdis: Float
  adjustment_bottom_line: Float
  clm_total: Float
  ded_amt: Float
  depreciation_taxes: Float
  est_number: Float
  federal_tax_payable: Float
  federal_tax_rate: Float
  g_bett_amt: Float
  kmin: Float
  kmout: Float
  local_tax_rate: Float
  other_amount_payable: Float
  owner_owing: Float
  pay_amt: Float
  rate_atp: Float
  rate_la1: Float
  rate_la2: Float
  rate_la3: Float
  rate_la4: Float
  rate_laa: Float
  rate_lab: Float
  rate_lad: Float
  rate_lae: Float
  rate_laf: Float
  rate_lag: Float
  rate_lam: Float
  rate_lar: Float
  rate_las: Float
  rate_lau: Float
  rate_ma2s: Float
  rate_ma2t: Float
  rate_ma3s: Float
  rate_mabl: Float
  rate_macs: Float
  rate_mahw: Float
  rate_mapa: Float
  rate_mash: Float
  rate_matd: Float
  state_tax_rate: Float
  storage_payable: Float
  tax_lbr_rt: Float
  tax_levies_rt: Float
  tax_paint_mat_rt: Float
  tax_predis: Float
  tax_prethr: Float
  tax_pstthr: Float
  tax_str_rt: Float
  tax_sub_rt: Float
  tax_thramt: Float
  tax_tow_rt: Float
  towing_payable: Float
}

# order by stddev_pop() on columns of table "jobs"
input jobs_stddev_pop_order_by {
  adj_g_disc: order_by
  adj_strdis: order_by
  adj_towdis: order_by
  adjustment_bottom_line: order_by
  clm_total: order_by
  ded_amt: order_by
  depreciation_taxes: order_by
  est_number: order_by
  federal_tax_payable: order_by
  federal_tax_rate: order_by
  g_bett_amt: order_by
  kmin: order_by
  kmout: order_by
  local_tax_rate: order_by
  other_amount_payable: order_by
  owner_owing: order_by
  pay_amt: order_by
  rate_atp: order_by
  rate_la1: order_by
  rate_la2: order_by
  rate_la3: order_by
  rate_la4: order_by
  rate_laa: order_by
  rate_lab: order_by
  rate_lad: order_by
  rate_lae: order_by
  rate_laf: order_by
  rate_lag: order_by
  rate_lam: order_by
  rate_lar: order_by
  rate_las: order_by
  rate_lau: order_by
  rate_ma2s: order_by
  rate_ma2t: order_by
  rate_ma3s: order_by
  rate_mabl: order_by
  rate_macs: order_by
  rate_mahw: order_by
  rate_mapa: order_by
  rate_mash: order_by
  rate_matd: order_by
  state_tax_rate: order_by
  storage_payable: order_by
  tax_lbr_rt: order_by
  tax_levies_rt: order_by
  tax_paint_mat_rt: order_by
  tax_predis: order_by
  tax_prethr: order_by
  tax_pstthr: order_by
  tax_str_rt: order_by
  tax_sub_rt: order_by
  tax_thramt: order_by
  tax_tow_rt: order_by
  towing_payable: order_by
}

# aggregate stddev_samp on columns
type jobs_stddev_samp_fields {
  adj_g_disc: Float
  adj_strdis: Float
  adj_towdis: Float
  adjustment_bottom_line: Float
  clm_total: Float
  ded_amt: Float
  depreciation_taxes: Float
  est_number: Float
  federal_tax_payable: Float
  federal_tax_rate: Float
  g_bett_amt: Float
  kmin: Float
  kmout: Float
  local_tax_rate: Float
  other_amount_payable: Float
  owner_owing: Float
  pay_amt: Float
  rate_atp: Float
  rate_la1: Float
  rate_la2: Float
  rate_la3: Float
  rate_la4: Float
  rate_laa: Float
  rate_lab: Float
  rate_lad: Float
  rate_lae: Float
  rate_laf: Float
  rate_lag: Float
  rate_lam: Float
  rate_lar: Float
  rate_las: Float
  rate_lau: Float
  rate_ma2s: Float
  rate_ma2t: Float
  rate_ma3s: Float
  rate_mabl: Float
  rate_macs: Float
  rate_mahw: Float
  rate_mapa: Float
  rate_mash: Float
  rate_matd: Float
  state_tax_rate: Float
  storage_payable: Float
  tax_lbr_rt: Float
  tax_levies_rt: Float
  tax_paint_mat_rt: Float
  tax_predis: Float
  tax_prethr: Float
  tax_pstthr: Float
  tax_str_rt: Float
  tax_sub_rt: Float
  tax_thramt: Float
  tax_tow_rt: Float
  towing_payable: Float
}

# order by stddev_samp() on columns of table "jobs"
input jobs_stddev_samp_order_by {
  adj_g_disc: order_by
  adj_strdis: order_by
  adj_towdis: order_by
  adjustment_bottom_line: order_by
  clm_total: order_by
  ded_amt: order_by
  depreciation_taxes: order_by
  est_number: order_by
  federal_tax_payable: order_by
  federal_tax_rate: order_by
  g_bett_amt: order_by
  kmin: order_by
  kmout: order_by
  local_tax_rate: order_by
  other_amount_payable: order_by
  owner_owing: order_by
  pay_amt: order_by
  rate_atp: order_by
  rate_la1: order_by
  rate_la2: order_by
  rate_la3: order_by
  rate_la4: order_by
  rate_laa: order_by
  rate_lab: order_by
  rate_lad: order_by
  rate_lae: order_by
  rate_laf: order_by
  rate_lag: order_by
  rate_lam: order_by
  rate_lar: order_by
  rate_las: order_by
  rate_lau: order_by
  rate_ma2s: order_by
  rate_ma2t: order_by
  rate_ma3s: order_by
  rate_mabl: order_by
  rate_macs: order_by
  rate_mahw: order_by
  rate_mapa: order_by
  rate_mash: order_by
  rate_matd: order_by
  state_tax_rate: order_by
  storage_payable: order_by
  tax_lbr_rt: order_by
  tax_levies_rt: order_by
  tax_paint_mat_rt: order_by
  tax_predis: order_by
  tax_prethr: order_by
  tax_pstthr: order_by
  tax_str_rt: order_by
  tax_sub_rt: order_by
  tax_thramt: order_by
  tax_tow_rt: order_by
  towing_payable: order_by
}

# aggregate sum on columns
type jobs_sum_fields {
  adj_g_disc: numeric
  adj_strdis: numeric
  adj_towdis: numeric
  adjustment_bottom_line: numeric
  clm_total: numeric
  ded_amt: numeric
  depreciation_taxes: numeric
  est_number: bigint
  federal_tax_payable: numeric
  federal_tax_rate: numeric
  g_bett_amt: numeric
  kmin: Int
  kmout: Int
  local_tax_rate: numeric
  other_amount_payable: numeric
  owner_owing: numeric
  pay_amt: numeric
  rate_atp: numeric
  rate_la1: numeric
  rate_la2: numeric
  rate_la3: numeric
  rate_la4: numeric
  rate_laa: numeric
  rate_lab: numeric
  rate_lad: numeric
  rate_lae: numeric
  rate_laf: numeric
  rate_lag: numeric
  rate_lam: numeric
  rate_lar: numeric
  rate_las: numeric
  rate_lau: numeric
  rate_ma2s: numeric
  rate_ma2t: numeric
  rate_ma3s: numeric
  rate_mabl: numeric
  rate_macs: numeric
  rate_mahw: numeric
  rate_mapa: numeric
  rate_mash: numeric
  rate_matd: numeric
  state_tax_rate: numeric
  storage_payable: numeric
  tax_lbr_rt: numeric
  tax_levies_rt: numeric
  tax_paint_mat_rt: numeric
  tax_predis: numeric
  tax_prethr: numeric
  tax_pstthr: numeric
  tax_str_rt: numeric
  tax_sub_rt: numeric
  tax_thramt: numeric
  tax_tow_rt: numeric
  towing_payable: numeric
}

# order by sum() on columns of table "jobs"
input jobs_sum_order_by {
  adj_g_disc: order_by
  adj_strdis: order_by
  adj_towdis: order_by
  adjustment_bottom_line: order_by
  clm_total: order_by
  ded_amt: order_by
  depreciation_taxes: order_by
  est_number: order_by
  federal_tax_payable: order_by
  federal_tax_rate: order_by
  g_bett_amt: order_by
  kmin: order_by
  kmout: order_by
  local_tax_rate: order_by
  other_amount_payable: order_by
  owner_owing: order_by
  pay_amt: order_by
  rate_atp: order_by
  rate_la1: order_by
  rate_la2: order_by
  rate_la3: order_by
  rate_la4: order_by
  rate_laa: order_by
  rate_lab: order_by
  rate_lad: order_by
  rate_lae: order_by
  rate_laf: order_by
  rate_lag: order_by
  rate_lam: order_by
  rate_lar: order_by
  rate_las: order_by
  rate_lau: order_by
  rate_ma2s: order_by
  rate_ma2t: order_by
  rate_ma3s: order_by
  rate_mabl: order_by
  rate_macs: order_by
  rate_mahw: order_by
  rate_mapa: order_by
  rate_mash: order_by
  rate_matd: order_by
  state_tax_rate: order_by
  storage_payable: order_by
  tax_lbr_rt: order_by
  tax_levies_rt: order_by
  tax_paint_mat_rt: order_by
  tax_predis: order_by
  tax_prethr: order_by
  tax_pstthr: order_by
  tax_str_rt: order_by
  tax_sub_rt: order_by
  tax_thramt: order_by
  tax_tow_rt: order_by
  towing_payable: order_by
}

# update columns of table "jobs"
enum jobs_update_column {
  # column name
  actual_completion

  # column name
  actual_delivery

  # column name
  actual_in

  # column name
  adj_g_disc

  # column name
  adj_strdis

  # column name
  adj_towdis

  # column name
  adjustment_bottom_line

  # column name
  agt_addr1

  # column name
  agt_addr2

  # column name
  agt_city

  # column name
  agt_co_id

  # column name
  agt_co_nm

  # column name
  agt_ct_fn

  # column name
  agt_ct_ln

  # column name
  agt_ct_ph

  # column name
  agt_ct_phx

  # column name
  agt_ctry

  # column name
  agt_ea

  # column name
  agt_fax

  # column name
  agt_faxx

  # column name
  agt_lic_no

  # column name
  agt_ph1

  # column name
  agt_ph1x

  # column name
  agt_ph2

  # column name
  agt_ph2x

  # column name
  agt_st

  # column name
  agt_zip

  # column name
  area_of_damage

  # column name
  asgn_date

  # column name
  asgn_no

  # column name
  asgn_type

  # column name
  cat_no

  # column name
  category

  # column name
  cieca_stl

  # column name
  cieca_ttl

  # column name
  ciecaid

  # column name
  class

  # column name
  clm_addr1

  # column name
  clm_addr2

  # column name
  clm_city

  # column name
  clm_ct_fn

  # column name
  clm_ct_ln

  # column name
  clm_ct_ph

  # column name
  clm_ct_phx

  # column name
  clm_ctry

  # column name
  clm_ea

  # column name
  clm_fax

  # column name
  clm_faxx

  # column name
  clm_no

  # column name
  clm_ofc_id

  # column name
  clm_ofc_nm

  # column name
  clm_ph1

  # column name
  clm_ph1x

  # column name
  clm_ph2

  # column name
  clm_ph2x

  # column name
  clm_st

  # column name
  clm_title

  # column name
  clm_total

  # column name
  clm_zip

  # column name
  converted

  # column name
  created_at

  # column name
  csr

  # column name
  cust_pr

  # column name
  date_closed

  # column name
  date_estimated

  # column name
  date_exported

  # column name
  date_invoiced

  # column name
  date_open

  # column name
  date_scheduled

  # column name
  ded_amt

  # column name
  ded_status

  # column name
  deliverchecklist

  # column name
  depreciation_taxes

  # column name
  employee_body

  # column name
  employee_prep

  # column name
  employee_refinish

  # column name
  est_addr1

  # column name
  est_addr2

  # column name
  est_city

  # column name
  est_co_nm

  # column name
  est_ct_fn

  # column name
  est_ct_ln

  # column name
  est_ctry

  # column name
  est_ea

  # column name
  est_number

  # column name
  est_ph1

  # column name
  est_st

  # column name
  est_zip

  # column name
  federal_tax_payable

  # column name
  federal_tax_rate

  # column name
  g_bett_amt

  # column name
  id

  # column name
  inproduction

  # column name
  ins_addr1

  # column name
  ins_addr2

  # column name
  ins_city

  # column name
  ins_co_id

  # column name
  ins_co_nm

  # column name
  ins_ct_fn

  # column name
  ins_ct_ln

  # column name
  ins_ct_ph

  # column name
  ins_ct_phx

  # column name
  ins_ctry

  # column name
  ins_ea

  # column name
  ins_fax

  # column name
  ins_faxx

  # column name
  ins_memo

  # column name
  ins_ph1

  # column name
  ins_ph1x

  # column name
  ins_ph2

  # column name
  ins_ph2x

  # column name
  ins_st

  # column name
  ins_title

  # column name
  ins_zip

  # column name
  insd_addr1

  # column name
  insd_addr2

  # column name
  insd_city

  # column name
  insd_co_nm

  # column name
  insd_ctry

  # column name
  insd_ea

  # column name
  insd_fax

  # column name
  insd_faxx

  # column name
  insd_fn

  # column name
  insd_ln

  # column name
  insd_ph1

  # column name
  insd_ph1x

  # column name
  insd_ph2

  # column name
  insd_ph2x

  # column name
  insd_st

  # column name
  insd_title

  # column name
  insd_zip

  # column name
  intakechecklist

  # column name
  invoice_allocation

  # column name
  invoice_date

  # column name
  job_totals

  # column name
  kanbanparent

  # column name
  kmin

  # column name
  kmout

  # column name
  labor_rate_desc

  # column name
  labor_rate_id

  # column name
  local_tax_rate

  # column name
  loss_cat

  # column name
  loss_date

  # column name
  loss_desc

  # column name
  loss_type

  # column name
  other_amount_payable

  # column name
  owner_owing

  # column name
  ownerid

  # column name
  ownr_addr1

  # column name
  ownr_addr2

  # column name
  ownr_city

  # column name
  ownr_co_nm

  # column name
  ownr_ctry

  # column name
  ownr_ea

  # column name
  ownr_fax

  # column name
  ownr_faxx

  # column name
  ownr_fn

  # column name
  ownr_ln

  # column name
  ownr_ph1

  # column name
  ownr_ph1x

  # column name
  ownr_ph2

  # column name
  ownr_ph2x

  # column name
  ownr_st

  # column name
  ownr_title

  # column name
  ownr_zip

  # column name
  parts_tax_rates

  # column name
  pay_amt

  # column name
  pay_chknm

  # column name
  pay_date

  # column name
  pay_type

  # column name
  payee_nms

  # column name
  plate_no

  # column name
  plate_st

  # column name
  po_number

  # column name
  policy_no

  # column name
  production_vars

  # column name
  rate_atp

  # column name
  rate_la1

  # column name
  rate_la2

  # column name
  rate_la3

  # column name
  rate_la4

  # column name
  rate_laa

  # column name
  rate_lab

  # column name
  rate_lad

  # column name
  rate_lae

  # column name
  rate_laf

  # column name
  rate_lag

  # column name
  rate_lam

  # column name
  rate_lar

  # column name
  rate_las

  # column name
  rate_lau

  # column name
  rate_ma2s

  # column name
  rate_ma2t

  # column name
  rate_ma3s

  # column name
  rate_mabl

  # column name
  rate_macs

  # column name
  rate_mahw

  # column name
  rate_mapa

  # column name
  rate_mash

  # column name
  rate_matd

  # column name
  referral_source

  # column name
  regie_number

  # column name
  ro_number

  # column name
  scheduled_completion

  # column name
  scheduled_delivery

  # column name
  scheduled_in

  # column name
  selling_dealer

  # column name
  selling_dealer_contact

  # column name
  servicing_dealer

  # column name
  servicing_dealer_contact

  # column name
  shopid

  # column name
  special_coverage_policy

  # column name
  state_tax_rate

  # column name
  status

  # column name
  storage_payable

  # column name
  tax_lbr_rt

  # column name
  tax_levies_rt

  # column name
  tax_paint_mat_rt

  # column name
  tax_predis

  # column name
  tax_prethr

  # column name
  tax_pstthr

  # column name
  tax_registration_number

  # column name
  tax_str_rt

  # column name
  tax_sub_rt

  # column name
  tax_thramt

  # column name
  tax_tow_rt

  # column name
  theft_ind

  # column name
  tlos_ind

  # column name
  towing_payable

  # column name
  unit_number

  # column name
  updated_at

  # column name
  v_color

  # column name
  v_make_desc

  # column name
  v_model_desc

  # column name
  v_model_yr

  # column name
  v_vin

  # column name
  vehicleid
}

# aggregate var_pop on columns
type jobs_var_pop_fields {
  adj_g_disc: Float
  adj_strdis: Float
  adj_towdis: Float
  adjustment_bottom_line: Float
  clm_total: Float
  ded_amt: Float
  depreciation_taxes: Float
  est_number: Float
  federal_tax_payable: Float
  federal_tax_rate: Float
  g_bett_amt: Float
  kmin: Float
  kmout: Float
  local_tax_rate: Float
  other_amount_payable: Float
  owner_owing: Float
  pay_amt: Float
  rate_atp: Float
  rate_la1: Float
  rate_la2: Float
  rate_la3: Float
  rate_la4: Float
  rate_laa: Float
  rate_lab: Float
  rate_lad: Float
  rate_lae: Float
  rate_laf: Float
  rate_lag: Float
  rate_lam: Float
  rate_lar: Float
  rate_las: Float
  rate_lau: Float
  rate_ma2s: Float
  rate_ma2t: Float
  rate_ma3s: Float
  rate_mabl: Float
  rate_macs: Float
  rate_mahw: Float
  rate_mapa: Float
  rate_mash: Float
  rate_matd: Float
  state_tax_rate: Float
  storage_payable: Float
  tax_lbr_rt: Float
  tax_levies_rt: Float
  tax_paint_mat_rt: Float
  tax_predis: Float
  tax_prethr: Float
  tax_pstthr: Float
  tax_str_rt: Float
  tax_sub_rt: Float
  tax_thramt: Float
  tax_tow_rt: Float
  towing_payable: Float
}

# order by var_pop() on columns of table "jobs"
input jobs_var_pop_order_by {
  adj_g_disc: order_by
  adj_strdis: order_by
  adj_towdis: order_by
  adjustment_bottom_line: order_by
  clm_total: order_by
  ded_amt: order_by
  depreciation_taxes: order_by
  est_number: order_by
  federal_tax_payable: order_by
  federal_tax_rate: order_by
  g_bett_amt: order_by
  kmin: order_by
  kmout: order_by
  local_tax_rate: order_by
  other_amount_payable: order_by
  owner_owing: order_by
  pay_amt: order_by
  rate_atp: order_by
  rate_la1: order_by
  rate_la2: order_by
  rate_la3: order_by
  rate_la4: order_by
  rate_laa: order_by
  rate_lab: order_by
  rate_lad: order_by
  rate_lae: order_by
  rate_laf: order_by
  rate_lag: order_by
  rate_lam: order_by
  rate_lar: order_by
  rate_las: order_by
  rate_lau: order_by
  rate_ma2s: order_by
  rate_ma2t: order_by
  rate_ma3s: order_by
  rate_mabl: order_by
  rate_macs: order_by
  rate_mahw: order_by
  rate_mapa: order_by
  rate_mash: order_by
  rate_matd: order_by
  state_tax_rate: order_by
  storage_payable: order_by
  tax_lbr_rt: order_by
  tax_levies_rt: order_by
  tax_paint_mat_rt: order_by
  tax_predis: order_by
  tax_prethr: order_by
  tax_pstthr: order_by
  tax_str_rt: order_by
  tax_sub_rt: order_by
  tax_thramt: order_by
  tax_tow_rt: order_by
  towing_payable: order_by
}

# aggregate var_samp on columns
type jobs_var_samp_fields {
  adj_g_disc: Float
  adj_strdis: Float
  adj_towdis: Float
  adjustment_bottom_line: Float
  clm_total: Float
  ded_amt: Float
  depreciation_taxes: Float
  est_number: Float
  federal_tax_payable: Float
  federal_tax_rate: Float
  g_bett_amt: Float
  kmin: Float
  kmout: Float
  local_tax_rate: Float
  other_amount_payable: Float
  owner_owing: Float
  pay_amt: Float
  rate_atp: Float
  rate_la1: Float
  rate_la2: Float
  rate_la3: Float
  rate_la4: Float
  rate_laa: Float
  rate_lab: Float
  rate_lad: Float
  rate_lae: Float
  rate_laf: Float
  rate_lag: Float
  rate_lam: Float
  rate_lar: Float
  rate_las: Float
  rate_lau: Float
  rate_ma2s: Float
  rate_ma2t: Float
  rate_ma3s: Float
  rate_mabl: Float
  rate_macs: Float
  rate_mahw: Float
  rate_mapa: Float
  rate_mash: Float
  rate_matd: Float
  state_tax_rate: Float
  storage_payable: Float
  tax_lbr_rt: Float
  tax_levies_rt: Float
  tax_paint_mat_rt: Float
  tax_predis: Float
  tax_prethr: Float
  tax_pstthr: Float
  tax_str_rt: Float
  tax_sub_rt: Float
  tax_thramt: Float
  tax_tow_rt: Float
  towing_payable: Float
}

# order by var_samp() on columns of table "jobs"
input jobs_var_samp_order_by {
  adj_g_disc: order_by
  adj_strdis: order_by
  adj_towdis: order_by
  adjustment_bottom_line: order_by
  clm_total: order_by
  ded_amt: order_by
  depreciation_taxes: order_by
  est_number: order_by
  federal_tax_payable: order_by
  federal_tax_rate: order_by
  g_bett_amt: order_by
  kmin: order_by
  kmout: order_by
  local_tax_rate: order_by
  other_amount_payable: order_by
  owner_owing: order_by
  pay_amt: order_by
  rate_atp: order_by
  rate_la1: order_by
  rate_la2: order_by
  rate_la3: order_by
  rate_la4: order_by
  rate_laa: order_by
  rate_lab: order_by
  rate_lad: order_by
  rate_lae: order_by
  rate_laf: order_by
  rate_lag: order_by
  rate_lam: order_by
  rate_lar: order_by
  rate_las: order_by
  rate_lau: order_by
  rate_ma2s: order_by
  rate_ma2t: order_by
  rate_ma3s: order_by
  rate_mabl: order_by
  rate_macs: order_by
  rate_mahw: order_by
  rate_mapa: order_by
  rate_mash: order_by
  rate_matd: order_by
  state_tax_rate: order_by
  storage_payable: order_by
  tax_lbr_rt: order_by
  tax_levies_rt: order_by
  tax_paint_mat_rt: order_by
  tax_predis: order_by
  tax_prethr: order_by
  tax_pstthr: order_by
  tax_str_rt: order_by
  tax_sub_rt: order_by
  tax_thramt: order_by
  tax_tow_rt: order_by
  towing_payable: order_by
}

# aggregate variance on columns
type jobs_variance_fields {
  adj_g_disc: Float
  adj_strdis: Float
  adj_towdis: Float
  adjustment_bottom_line: Float
  clm_total: Float
  ded_amt: Float
  depreciation_taxes: Float
  est_number: Float
  federal_tax_payable: Float
  federal_tax_rate: Float
  g_bett_amt: Float
  kmin: Float
  kmout: Float
  local_tax_rate: Float
  other_amount_payable: Float
  owner_owing: Float
  pay_amt: Float
  rate_atp: Float
  rate_la1: Float
  rate_la2: Float
  rate_la3: Float
  rate_la4: Float
  rate_laa: Float
  rate_lab: Float
  rate_lad: Float
  rate_lae: Float
  rate_laf: Float
  rate_lag: Float
  rate_lam: Float
  rate_lar: Float
  rate_las: Float
  rate_lau: Float
  rate_ma2s: Float
  rate_ma2t: Float
  rate_ma3s: Float
  rate_mabl: Float
  rate_macs: Float
  rate_mahw: Float
  rate_mapa: Float
  rate_mash: Float
  rate_matd: Float
  state_tax_rate: Float
  storage_payable: Float
  tax_lbr_rt: Float
  tax_levies_rt: Float
  tax_paint_mat_rt: Float
  tax_predis: Float
  tax_prethr: Float
  tax_pstthr: Float
  tax_str_rt: Float
  tax_sub_rt: Float
  tax_thramt: Float
  tax_tow_rt: Float
  towing_payable: Float
}

# order by variance() on columns of table "jobs"
input jobs_variance_order_by {
  adj_g_disc: order_by
  adj_strdis: order_by
  adj_towdis: order_by
  adjustment_bottom_line: order_by
  clm_total: order_by
  ded_amt: order_by
  depreciation_taxes: order_by
  est_number: order_by
  federal_tax_payable: order_by
  federal_tax_rate: order_by
  g_bett_amt: order_by
  kmin: order_by
  kmout: order_by
  local_tax_rate: order_by
  other_amount_payable: order_by
  owner_owing: order_by
  pay_amt: order_by
  rate_atp: order_by
  rate_la1: order_by
  rate_la2: order_by
  rate_la3: order_by
  rate_la4: order_by
  rate_laa: order_by
  rate_lab: order_by
  rate_lad: order_by
  rate_lae: order_by
  rate_laf: order_by
  rate_lag: order_by
  rate_lam: order_by
  rate_lar: order_by
  rate_las: order_by
  rate_lau: order_by
  rate_ma2s: order_by
  rate_ma2t: order_by
  rate_ma3s: order_by
  rate_mabl: order_by
  rate_macs: order_by
  rate_mahw: order_by
  rate_mapa: order_by
  rate_mash: order_by
  rate_matd: order_by
  state_tax_rate: order_by
  storage_payable: order_by
  tax_lbr_rt: order_by
  tax_levies_rt: order_by
  tax_paint_mat_rt: order_by
  tax_predis: order_by
  tax_prethr: order_by
  tax_pstthr: order_by
  tax_str_rt: order_by
  tax_sub_rt: order_by
  tax_thramt: order_by
  tax_tow_rt: order_by
  towing_payable: order_by
}

scalar json

# expression to compare columns of type json. All fields are combined with logical 'AND'.
input json_comparison_exp {
  _eq: json
  _gt: json
  _gte: json
  _in: [json!]
  _is_null: Boolean
  _lt: json
  _lte: json
  _neq: json
  _nin: [json!]
}

scalar jsonb

# expression to compare columns of type jsonb. All fields are combined with logical 'AND'.
input jsonb_comparison_exp {
  # is the column contained in the given json value
  _contained_in: jsonb

  # does the column contain the given json value at the top level
  _contains: jsonb
  _eq: jsonb
  _gt: jsonb
  _gte: jsonb

  # does the string exist as a top-level key in the column
  _has_key: String

  # do all of these strings exist as top-level keys in the column
  _has_keys_all: [String!]

  # do any of these strings exist as top-level keys in the column
  _has_keys_any: [String!]
  _in: [jsonb!]
  _is_null: Boolean
  _lt: jsonb
  _lte: jsonb
  _neq: jsonb
  _nin: [jsonb!]
}

# columns and relationships of "masterdata"
type masterdata {
  key: String!
  value: String!
}

# aggregated selection of "masterdata"
type masterdata_aggregate {
  aggregate: masterdata_aggregate_fields
  nodes: [masterdata!]!
}

# aggregate fields of "masterdata"
type masterdata_aggregate_fields {
  count(columns: [masterdata_select_column!], distinct: Boolean): Int
  max: masterdata_max_fields
  min: masterdata_min_fields
}

# order by aggregate values of table "masterdata"
input masterdata_aggregate_order_by {
  count: order_by
  max: masterdata_max_order_by
  min: masterdata_min_order_by
}

# input type for inserting array relation for remote table "masterdata"
input masterdata_arr_rel_insert_input {
  data: [masterdata_insert_input!]!
  on_conflict: masterdata_on_conflict
}

# Boolean expression to filter rows from the table "masterdata". All fields are combined with a logical 'AND'.
input masterdata_bool_exp {
  _and: [masterdata_bool_exp]
  _not: masterdata_bool_exp
  _or: [masterdata_bool_exp]
  key: String_comparison_exp
  value: String_comparison_exp
}

# unique or primary key constraints on table "masterdata"
enum masterdata_constraint {
  # unique or primary key constraint
  masterdata_pkey
}

# input type for inserting data into table "masterdata"
input masterdata_insert_input {
  key: String
  value: String
}

# aggregate max on columns
type masterdata_max_fields {
  key: String
  value: String
}

# order by max() on columns of table "masterdata"
input masterdata_max_order_by {
  key: order_by
  value: order_by
}

# aggregate min on columns
type masterdata_min_fields {
  key: String
  value: String
}

# order by min() on columns of table "masterdata"
input masterdata_min_order_by {
  key: order_by
  value: order_by
}

# response of any mutation on the table "masterdata"
type masterdata_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [masterdata!]!
}

# input type for inserting object relation for remote table "masterdata"
input masterdata_obj_rel_insert_input {
  data: masterdata_insert_input!
  on_conflict: masterdata_on_conflict
}

# on conflict condition type for table "masterdata"
input masterdata_on_conflict {
  constraint: masterdata_constraint!
  update_columns: [masterdata_update_column!]!
  where: masterdata_bool_exp
}

# ordering options when selecting data from "masterdata"
input masterdata_order_by {
  key: order_by
  value: order_by
}

# primary key columns input for table: "masterdata"
input masterdata_pk_columns_input {
  key: String!
}

# select columns of table "masterdata"
enum masterdata_select_column {
  # column name
  key

  # column name
  value
}

# input type for updating data in table "masterdata"
input masterdata_set_input {
  key: String
  value: String
}

# update columns of table "masterdata"
enum masterdata_update_column {
  # column name
  key

  # column name
  value
}

# columns and relationships of "messages"
type messages {
  # An object relationship
  conversation: conversations!
  conversationid: uuid!
  created_at: timestamptz!
  id: uuid!
  image: Boolean!
  image_path: String
  isoutbound: Boolean!
  msid: String!
  read: Boolean!
  status: String!
  text: String
  updated_at: timestamptz!
}

# aggregated selection of "messages"
type messages_aggregate {
  aggregate: messages_aggregate_fields
  nodes: [messages!]!
}

# aggregate fields of "messages"
type messages_aggregate_fields {
  count(columns: [messages_select_column!], distinct: Boolean): Int
  max: messages_max_fields
  min: messages_min_fields
}

# order by aggregate values of table "messages"
input messages_aggregate_order_by {
  count: order_by
  max: messages_max_order_by
  min: messages_min_order_by
}

# input type for inserting array relation for remote table "messages"
input messages_arr_rel_insert_input {
  data: [messages_insert_input!]!
  on_conflict: messages_on_conflict
}

# Boolean expression to filter rows from the table "messages". All fields are combined with a logical 'AND'.
input messages_bool_exp {
  _and: [messages_bool_exp]
  _not: messages_bool_exp
  _or: [messages_bool_exp]
  conversation: conversations_bool_exp
  conversationid: uuid_comparison_exp
  created_at: timestamptz_comparison_exp
  id: uuid_comparison_exp
  image: Boolean_comparison_exp
  image_path: String_comparison_exp
  isoutbound: Boolean_comparison_exp
  msid: String_comparison_exp
  read: Boolean_comparison_exp
  status: String_comparison_exp
  text: String_comparison_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "messages"
enum messages_constraint {
  # unique or primary key constraint
  messages_msid_key

  # unique or primary key constraint
  messages_pkey
}

# input type for inserting data into table "messages"
input messages_insert_input {
  conversation: conversations_obj_rel_insert_input
  conversationid: uuid
  created_at: timestamptz
  id: uuid
  image: Boolean
  image_path: String
  isoutbound: Boolean
  msid: String
  read: Boolean
  status: String
  text: String
  updated_at: timestamptz
}

# aggregate max on columns
type messages_max_fields {
  conversationid: uuid
  created_at: timestamptz
  id: uuid
  image_path: String
  msid: String
  status: String
  text: String
  updated_at: timestamptz
}

# order by max() on columns of table "messages"
input messages_max_order_by {
  conversationid: order_by
  created_at: order_by
  id: order_by
  image_path: order_by
  msid: order_by
  status: order_by
  text: order_by
  updated_at: order_by
}

# aggregate min on columns
type messages_min_fields {
  conversationid: uuid
  created_at: timestamptz
  id: uuid
  image_path: String
  msid: String
  status: String
  text: String
  updated_at: timestamptz
}

# order by min() on columns of table "messages"
input messages_min_order_by {
  conversationid: order_by
  created_at: order_by
  id: order_by
  image_path: order_by
  msid: order_by
  status: order_by
  text: order_by
  updated_at: order_by
}

# response of any mutation on the table "messages"
type messages_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [messages!]!
}

# input type for inserting object relation for remote table "messages"
input messages_obj_rel_insert_input {
  data: messages_insert_input!
  on_conflict: messages_on_conflict
}

# on conflict condition type for table "messages"
input messages_on_conflict {
  constraint: messages_constraint!
  update_columns: [messages_update_column!]!
  where: messages_bool_exp
}

# ordering options when selecting data from "messages"
input messages_order_by {
  conversation: conversations_order_by
  conversationid: order_by
  created_at: order_by
  id: order_by
  image: order_by
  image_path: order_by
  isoutbound: order_by
  msid: order_by
  read: order_by
  status: order_by
  text: order_by
  updated_at: order_by
}

# primary key columns input for table: "messages"
input messages_pk_columns_input {
  id: uuid!
}

# select columns of table "messages"
enum messages_select_column {
  # column name
  conversationid

  # column name
  created_at

  # column name
  id

  # column name
  image

  # column name
  image_path

  # column name
  isoutbound

  # column name
  msid

  # column name
  read

  # column name
  status

  # column name
  text

  # column name
  updated_at
}

# input type for updating data in table "messages"
input messages_set_input {
  conversationid: uuid
  created_at: timestamptz
  id: uuid
  image: Boolean
  image_path: String
  isoutbound: Boolean
  msid: String
  read: Boolean
  status: String
  text: String
  updated_at: timestamptz
}

# update columns of table "messages"
enum messages_update_column {
  # column name
  conversationid

  # column name
  created_at

  # column name
  id

  # column name
  image

  # column name
  image_path

  # column name
  isoutbound

  # column name
  msid

  # column name
  read

  # column name
  status

  # column name
  text

  # column name
  updated_at
}

# mutation root
type mutation_root {
  # delete data from the table: "allocations"
  delete_allocations(
    # filter the rows which have to be deleted
    where: allocations_bool_exp!
  ): allocations_mutation_response

  # delete single row from the table: "allocations"
  delete_allocations_by_pk(id: uuid!): allocations

  # delete data from the table: "appointments"
  delete_appointments(
    # filter the rows which have to be deleted
    where: appointments_bool_exp!
  ): appointments_mutation_response

  # delete single row from the table: "appointments"
  delete_appointments_by_pk(id: uuid!): appointments

  # delete data from the table: "associations"
  delete_associations(
    # filter the rows which have to be deleted
    where: associations_bool_exp!
  ): associations_mutation_response

  # delete single row from the table: "associations"
  delete_associations_by_pk(id: uuid!): associations

  # delete data from the table: "audit_trail"
  delete_audit_trail(
    # filter the rows which have to be deleted
    where: audit_trail_bool_exp!
  ): audit_trail_mutation_response

  # delete single row from the table: "audit_trail"
  delete_audit_trail_by_pk(id: Int!): audit_trail

  # delete data from the table: "available_jobs"
  delete_available_jobs(
    # filter the rows which have to be deleted
    where: available_jobs_bool_exp!
  ): available_jobs_mutation_response

  # delete single row from the table: "available_jobs"
  delete_available_jobs_by_pk(id: uuid!): available_jobs

  # delete data from the table: "bodyshops"
  delete_bodyshops(
    # filter the rows which have to be deleted
    where: bodyshops_bool_exp!
  ): bodyshops_mutation_response

  # delete single row from the table: "bodyshops"
  delete_bodyshops_by_pk(id: uuid!): bodyshops

  # delete data from the table: "cccontracts"
  delete_cccontracts(
    # filter the rows which have to be deleted
    where: cccontracts_bool_exp!
  ): cccontracts_mutation_response

  # delete single row from the table: "cccontracts"
  delete_cccontracts_by_pk(id: uuid!): cccontracts

  # delete data from the table: "conversations"
  delete_conversations(
    # filter the rows which have to be deleted
    where: conversations_bool_exp!
  ): conversations_mutation_response

  # delete single row from the table: "conversations"
  delete_conversations_by_pk(id: uuid!): conversations

  # delete data from the table: "counters"
  delete_counters(
    # filter the rows which have to be deleted
    where: counters_bool_exp!
  ): counters_mutation_response

  # delete single row from the table: "counters"
  delete_counters_by_pk(id: uuid!): counters

  # delete data from the table: "courtesycars"
  delete_courtesycars(
    # filter the rows which have to be deleted
    where: courtesycars_bool_exp!
  ): courtesycars_mutation_response

  # delete single row from the table: "courtesycars"
  delete_courtesycars_by_pk(id: uuid!): courtesycars

  # delete data from the table: "csi"
  delete_csi(
    # filter the rows which have to be deleted
    where: csi_bool_exp!
  ): csi_mutation_response

  # delete single row from the table: "csi"
  delete_csi_by_pk(id: uuid!): csi

  # delete data from the table: "csiquestions"
  delete_csiquestions(
    # filter the rows which have to be deleted
    where: csiquestions_bool_exp!
  ): csiquestions_mutation_response

  # delete single row from the table: "csiquestions"
  delete_csiquestions_by_pk(id: uuid!): csiquestions

  # delete data from the table: "documents"
  delete_documents(
    # filter the rows which have to be deleted
    where: documents_bool_exp!
  ): documents_mutation_response

  # delete single row from the table: "documents"
  delete_documents_by_pk(id: uuid!): documents

  # delete data from the table: "employees"
  delete_employees(
    # filter the rows which have to be deleted
    where: employees_bool_exp!
  ): employees_mutation_response

  # delete single row from the table: "employees"
  delete_employees_by_pk(id: uuid!): employees

  # delete data from the table: "invoicelines"
  delete_invoicelines(
    # filter the rows which have to be deleted
    where: invoicelines_bool_exp!
  ): invoicelines_mutation_response

  # delete single row from the table: "invoicelines"
  delete_invoicelines_by_pk(id: uuid!): invoicelines

  # delete data from the table: "invoices"
  delete_invoices(
    # filter the rows which have to be deleted
    where: invoices_bool_exp!
  ): invoices_mutation_response

  # delete single row from the table: "invoices"
  delete_invoices_by_pk(id: uuid!): invoices

  # delete data from the table: "job_conversations"
  delete_job_conversations(
    # filter the rows which have to be deleted
    where: job_conversations_bool_exp!
  ): job_conversations_mutation_response

  # delete single row from the table: "job_conversations"
  delete_job_conversations_by_pk(conversationid: uuid!, jobid: uuid!): job_conversations

  # delete data from the table: "joblines"
  delete_joblines(
    # filter the rows which have to be deleted
    where: joblines_bool_exp!
  ): joblines_mutation_response

  # delete single row from the table: "joblines"
  delete_joblines_by_pk(id: uuid!): joblines

  # delete data from the table: "jobs"
  delete_jobs(
    # filter the rows which have to be deleted
    where: jobs_bool_exp!
  ): jobs_mutation_response

  # delete single row from the table: "jobs"
  delete_jobs_by_pk(id: uuid!): jobs

  # delete data from the table: "masterdata"
  delete_masterdata(
    # filter the rows which have to be deleted
    where: masterdata_bool_exp!
  ): masterdata_mutation_response

  # delete single row from the table: "masterdata"
  delete_masterdata_by_pk(key: String!): masterdata

  # delete data from the table: "messages"
  delete_messages(
    # filter the rows which have to be deleted
    where: messages_bool_exp!
  ): messages_mutation_response

  # delete single row from the table: "messages"
  delete_messages_by_pk(id: uuid!): messages

  # delete data from the table: "notes"
  delete_notes(
    # filter the rows which have to be deleted
    where: notes_bool_exp!
  ): notes_mutation_response

  # delete single row from the table: "notes"
  delete_notes_by_pk(id: uuid!): notes

  # delete data from the table: "owners"
  delete_owners(
    # filter the rows which have to be deleted
    where: owners_bool_exp!
  ): owners_mutation_response

  # delete single row from the table: "owners"
  delete_owners_by_pk(id: uuid!): owners

  # delete data from the table: "parts_order_lines"
  delete_parts_order_lines(
    # filter the rows which have to be deleted
    where: parts_order_lines_bool_exp!
  ): parts_order_lines_mutation_response

  # delete single row from the table: "parts_order_lines"
  delete_parts_order_lines_by_pk(id: uuid!): parts_order_lines

  # delete data from the table: "parts_orders"
  delete_parts_orders(
    # filter the rows which have to be deleted
    where: parts_orders_bool_exp!
  ): parts_orders_mutation_response

  # delete single row from the table: "parts_orders"
  delete_parts_orders_by_pk(id: uuid!): parts_orders

  # delete data from the table: "payments"
  delete_payments(
    # filter the rows which have to be deleted
    where: payments_bool_exp!
  ): payments_mutation_response

  # delete single row from the table: "payments"
  delete_payments_by_pk(id: uuid!): payments

  # delete data from the table: "scoreboard"
  delete_scoreboard(
    # filter the rows which have to be deleted
    where: scoreboard_bool_exp!
  ): scoreboard_mutation_response

  # delete single row from the table: "scoreboard"
  delete_scoreboard_by_pk(id: uuid!): scoreboard

  # delete data from the table: "templates"
  delete_templates(
    # filter the rows which have to be deleted
    where: templates_bool_exp!
  ): templates_mutation_response

  # delete single row from the table: "templates"
  delete_templates_by_pk(id: uuid!): templates

  # delete data from the table: "timetickets"
  delete_timetickets(
    # filter the rows which have to be deleted
    where: timetickets_bool_exp!
  ): timetickets_mutation_response

  # delete single row from the table: "timetickets"
  delete_timetickets_by_pk(id: uuid!): timetickets

  # delete data from the table: "users"
  delete_users(
    # filter the rows which have to be deleted
    where: users_bool_exp!
  ): users_mutation_response

  # delete single row from the table: "users"
  delete_users_by_pk(email: String!): users

  # delete data from the table: "vehicles"
  delete_vehicles(
    # filter the rows which have to be deleted
    where: vehicles_bool_exp!
  ): vehicles_mutation_response

  # delete single row from the table: "vehicles"
  delete_vehicles_by_pk(id: uuid!): vehicles

  # delete data from the table: "vendors"
  delete_vendors(
    # filter the rows which have to be deleted
    where: vendors_bool_exp!
  ): vendors_mutation_response

  # delete single row from the table: "vendors"
  delete_vendors_by_pk(id: uuid!): vendors

  # insert data into the table: "allocations"
  insert_allocations(
    # the rows to be inserted
    objects: [allocations_insert_input!]!

    # on conflict condition
    on_conflict: allocations_on_conflict
  ): allocations_mutation_response

  # insert a single row into the table: "allocations"
  insert_allocations_one(
    # the row to be inserted
    object: allocations_insert_input!

    # on conflict condition
    on_conflict: allocations_on_conflict
  ): allocations

  # insert data into the table: "appointments"
  insert_appointments(
    # the rows to be inserted
    objects: [appointments_insert_input!]!

    # on conflict condition
    on_conflict: appointments_on_conflict
  ): appointments_mutation_response

  # insert a single row into the table: "appointments"
  insert_appointments_one(
    # the row to be inserted
    object: appointments_insert_input!

    # on conflict condition
    on_conflict: appointments_on_conflict
  ): appointments

  # insert data into the table: "associations"
  insert_associations(
    # the rows to be inserted
    objects: [associations_insert_input!]!

    # on conflict condition
    on_conflict: associations_on_conflict
  ): associations_mutation_response

  # insert a single row into the table: "associations"
  insert_associations_one(
    # the row to be inserted
    object: associations_insert_input!

    # on conflict condition
    on_conflict: associations_on_conflict
  ): associations

  # insert data into the table: "audit_trail"
  insert_audit_trail(
    # the rows to be inserted
    objects: [audit_trail_insert_input!]!

    # on conflict condition
    on_conflict: audit_trail_on_conflict
  ): audit_trail_mutation_response

  # insert a single row into the table: "audit_trail"
  insert_audit_trail_one(
    # the row to be inserted
    object: audit_trail_insert_input!

    # on conflict condition
    on_conflict: audit_trail_on_conflict
  ): audit_trail

  # insert data into the table: "available_jobs"
  insert_available_jobs(
    # the rows to be inserted
    objects: [available_jobs_insert_input!]!

    # on conflict condition
    on_conflict: available_jobs_on_conflict
  ): available_jobs_mutation_response

  # insert a single row into the table: "available_jobs"
  insert_available_jobs_one(
    # the row to be inserted
    object: available_jobs_insert_input!

    # on conflict condition
    on_conflict: available_jobs_on_conflict
  ): available_jobs

  # insert data into the table: "bodyshops"
  insert_bodyshops(
    # the rows to be inserted
    objects: [bodyshops_insert_input!]!

    # on conflict condition
    on_conflict: bodyshops_on_conflict
  ): bodyshops_mutation_response

  # insert a single row into the table: "bodyshops"
  insert_bodyshops_one(
    # the row to be inserted
    object: bodyshops_insert_input!

    # on conflict condition
    on_conflict: bodyshops_on_conflict
  ): bodyshops

  # insert data into the table: "cccontracts"
  insert_cccontracts(
    # the rows to be inserted
    objects: [cccontracts_insert_input!]!

    # on conflict condition
    on_conflict: cccontracts_on_conflict
  ): cccontracts_mutation_response

  # insert a single row into the table: "cccontracts"
  insert_cccontracts_one(
    # the row to be inserted
    object: cccontracts_insert_input!

    # on conflict condition
    on_conflict: cccontracts_on_conflict
  ): cccontracts

  # insert data into the table: "conversations"
  insert_conversations(
    # the rows to be inserted
    objects: [conversations_insert_input!]!

    # on conflict condition
    on_conflict: conversations_on_conflict
  ): conversations_mutation_response

  # insert a single row into the table: "conversations"
  insert_conversations_one(
    # the row to be inserted
    object: conversations_insert_input!

    # on conflict condition
    on_conflict: conversations_on_conflict
  ): conversations

  # insert data into the table: "counters"
  insert_counters(
    # the rows to be inserted
    objects: [counters_insert_input!]!

    # on conflict condition
    on_conflict: counters_on_conflict
  ): counters_mutation_response

  # insert a single row into the table: "counters"
  insert_counters_one(
    # the row to be inserted
    object: counters_insert_input!

    # on conflict condition
    on_conflict: counters_on_conflict
  ): counters

  # insert data into the table: "courtesycars"
  insert_courtesycars(
    # the rows to be inserted
    objects: [courtesycars_insert_input!]!

    # on conflict condition
    on_conflict: courtesycars_on_conflict
  ): courtesycars_mutation_response

  # insert a single row into the table: "courtesycars"
  insert_courtesycars_one(
    # the row to be inserted
    object: courtesycars_insert_input!

    # on conflict condition
    on_conflict: courtesycars_on_conflict
  ): courtesycars

  # insert data into the table: "csi"
  insert_csi(
    # the rows to be inserted
    objects: [csi_insert_input!]!

    # on conflict condition
    on_conflict: csi_on_conflict
  ): csi_mutation_response

  # insert a single row into the table: "csi"
  insert_csi_one(
    # the row to be inserted
    object: csi_insert_input!

    # on conflict condition
    on_conflict: csi_on_conflict
  ): csi

  # insert data into the table: "csiquestions"
  insert_csiquestions(
    # the rows to be inserted
    objects: [csiquestions_insert_input!]!

    # on conflict condition
    on_conflict: csiquestions_on_conflict
  ): csiquestions_mutation_response

  # insert a single row into the table: "csiquestions"
  insert_csiquestions_one(
    # the row to be inserted
    object: csiquestions_insert_input!

    # on conflict condition
    on_conflict: csiquestions_on_conflict
  ): csiquestions

  # insert data into the table: "documents"
  insert_documents(
    # the rows to be inserted
    objects: [documents_insert_input!]!

    # on conflict condition
    on_conflict: documents_on_conflict
  ): documents_mutation_response

  # insert a single row into the table: "documents"
  insert_documents_one(
    # the row to be inserted
    object: documents_insert_input!

    # on conflict condition
    on_conflict: documents_on_conflict
  ): documents

  # insert data into the table: "employees"
  insert_employees(
    # the rows to be inserted
    objects: [employees_insert_input!]!

    # on conflict condition
    on_conflict: employees_on_conflict
  ): employees_mutation_response

  # insert a single row into the table: "employees"
  insert_employees_one(
    # the row to be inserted
    object: employees_insert_input!

    # on conflict condition
    on_conflict: employees_on_conflict
  ): employees

  # insert data into the table: "invoicelines"
  insert_invoicelines(
    # the rows to be inserted
    objects: [invoicelines_insert_input!]!

    # on conflict condition
    on_conflict: invoicelines_on_conflict
  ): invoicelines_mutation_response

  # insert a single row into the table: "invoicelines"
  insert_invoicelines_one(
    # the row to be inserted
    object: invoicelines_insert_input!

    # on conflict condition
    on_conflict: invoicelines_on_conflict
  ): invoicelines

  # insert data into the table: "invoices"
  insert_invoices(
    # the rows to be inserted
    objects: [invoices_insert_input!]!

    # on conflict condition
    on_conflict: invoices_on_conflict
  ): invoices_mutation_response

  # insert a single row into the table: "invoices"
  insert_invoices_one(
    # the row to be inserted
    object: invoices_insert_input!

    # on conflict condition
    on_conflict: invoices_on_conflict
  ): invoices

  # insert data into the table: "job_conversations"
  insert_job_conversations(
    # the rows to be inserted
    objects: [job_conversations_insert_input!]!

    # on conflict condition
    on_conflict: job_conversations_on_conflict
  ): job_conversations_mutation_response

  # insert a single row into the table: "job_conversations"
  insert_job_conversations_one(
    # the row to be inserted
    object: job_conversations_insert_input!

    # on conflict condition
    on_conflict: job_conversations_on_conflict
  ): job_conversations

  # insert data into the table: "joblines"
  insert_joblines(
    # the rows to be inserted
    objects: [joblines_insert_input!]!

    # on conflict condition
    on_conflict: joblines_on_conflict
  ): joblines_mutation_response

  # insert a single row into the table: "joblines"
  insert_joblines_one(
    # the row to be inserted
    object: joblines_insert_input!

    # on conflict condition
    on_conflict: joblines_on_conflict
  ): joblines

  # insert data into the table: "jobs"
  insert_jobs(
    # the rows to be inserted
    objects: [jobs_insert_input!]!

    # on conflict condition
    on_conflict: jobs_on_conflict
  ): jobs_mutation_response

  # insert a single row into the table: "jobs"
  insert_jobs_one(
    # the row to be inserted
    object: jobs_insert_input!

    # on conflict condition
    on_conflict: jobs_on_conflict
  ): jobs

  # insert data into the table: "masterdata"
  insert_masterdata(
    # the rows to be inserted
    objects: [masterdata_insert_input!]!

    # on conflict condition
    on_conflict: masterdata_on_conflict
  ): masterdata_mutation_response

  # insert a single row into the table: "masterdata"
  insert_masterdata_one(
    # the row to be inserted
    object: masterdata_insert_input!

    # on conflict condition
    on_conflict: masterdata_on_conflict
  ): masterdata

  # insert data into the table: "messages"
  insert_messages(
    # the rows to be inserted
    objects: [messages_insert_input!]!

    # on conflict condition
    on_conflict: messages_on_conflict
  ): messages_mutation_response

  # insert a single row into the table: "messages"
  insert_messages_one(
    # the row to be inserted
    object: messages_insert_input!

    # on conflict condition
    on_conflict: messages_on_conflict
  ): messages

  # insert data into the table: "notes"
  insert_notes(
    # the rows to be inserted
    objects: [notes_insert_input!]!

    # on conflict condition
    on_conflict: notes_on_conflict
  ): notes_mutation_response

  # insert a single row into the table: "notes"
  insert_notes_one(
    # the row to be inserted
    object: notes_insert_input!

    # on conflict condition
    on_conflict: notes_on_conflict
  ): notes

  # insert data into the table: "owners"
  insert_owners(
    # the rows to be inserted
    objects: [owners_insert_input!]!

    # on conflict condition
    on_conflict: owners_on_conflict
  ): owners_mutation_response

  # insert a single row into the table: "owners"
  insert_owners_one(
    # the row to be inserted
    object: owners_insert_input!

    # on conflict condition
    on_conflict: owners_on_conflict
  ): owners

  # insert data into the table: "parts_order_lines"
  insert_parts_order_lines(
    # the rows to be inserted
    objects: [parts_order_lines_insert_input!]!

    # on conflict condition
    on_conflict: parts_order_lines_on_conflict
  ): parts_order_lines_mutation_response

  # insert a single row into the table: "parts_order_lines"
  insert_parts_order_lines_one(
    # the row to be inserted
    object: parts_order_lines_insert_input!

    # on conflict condition
    on_conflict: parts_order_lines_on_conflict
  ): parts_order_lines

  # insert data into the table: "parts_orders"
  insert_parts_orders(
    # the rows to be inserted
    objects: [parts_orders_insert_input!]!

    # on conflict condition
    on_conflict: parts_orders_on_conflict
  ): parts_orders_mutation_response

  # insert a single row into the table: "parts_orders"
  insert_parts_orders_one(
    # the row to be inserted
    object: parts_orders_insert_input!

    # on conflict condition
    on_conflict: parts_orders_on_conflict
  ): parts_orders

  # insert data into the table: "payments"
  insert_payments(
    # the rows to be inserted
    objects: [payments_insert_input!]!

    # on conflict condition
    on_conflict: payments_on_conflict
  ): payments_mutation_response

  # insert a single row into the table: "payments"
  insert_payments_one(
    # the row to be inserted
    object: payments_insert_input!

    # on conflict condition
    on_conflict: payments_on_conflict
  ): payments

  # insert data into the table: "scoreboard"
  insert_scoreboard(
    # the rows to be inserted
    objects: [scoreboard_insert_input!]!

    # on conflict condition
    on_conflict: scoreboard_on_conflict
  ): scoreboard_mutation_response

  # insert a single row into the table: "scoreboard"
  insert_scoreboard_one(
    # the row to be inserted
    object: scoreboard_insert_input!

    # on conflict condition
    on_conflict: scoreboard_on_conflict
  ): scoreboard

  # insert data into the table: "templates"
  insert_templates(
    # the rows to be inserted
    objects: [templates_insert_input!]!

    # on conflict condition
    on_conflict: templates_on_conflict
  ): templates_mutation_response

  # insert a single row into the table: "templates"
  insert_templates_one(
    # the row to be inserted
    object: templates_insert_input!

    # on conflict condition
    on_conflict: templates_on_conflict
  ): templates

  # insert data into the table: "timetickets"
  insert_timetickets(
    # the rows to be inserted
    objects: [timetickets_insert_input!]!

    # on conflict condition
    on_conflict: timetickets_on_conflict
  ): timetickets_mutation_response

  # insert a single row into the table: "timetickets"
  insert_timetickets_one(
    # the row to be inserted
    object: timetickets_insert_input!

    # on conflict condition
    on_conflict: timetickets_on_conflict
  ): timetickets

  # insert data into the table: "users"
  insert_users(
    # the rows to be inserted
    objects: [users_insert_input!]!

    # on conflict condition
    on_conflict: users_on_conflict
  ): users_mutation_response

  # insert a single row into the table: "users"
  insert_users_one(
    # the row to be inserted
    object: users_insert_input!

    # on conflict condition
    on_conflict: users_on_conflict
  ): users

  # insert data into the table: "vehicles"
  insert_vehicles(
    # the rows to be inserted
    objects: [vehicles_insert_input!]!

    # on conflict condition
    on_conflict: vehicles_on_conflict
  ): vehicles_mutation_response

  # insert a single row into the table: "vehicles"
  insert_vehicles_one(
    # the row to be inserted
    object: vehicles_insert_input!

    # on conflict condition
    on_conflict: vehicles_on_conflict
  ): vehicles

  # insert data into the table: "vendors"
  insert_vendors(
    # the rows to be inserted
    objects: [vendors_insert_input!]!

    # on conflict condition
    on_conflict: vendors_on_conflict
  ): vendors_mutation_response

  # insert a single row into the table: "vendors"
  insert_vendors_one(
    # the row to be inserted
    object: vendors_insert_input!

    # on conflict condition
    on_conflict: vendors_on_conflict
  ): vendors

  # update data of the table: "allocations"
  update_allocations(
    # increments the integer columns with given value of the filtered values
    _inc: allocations_inc_input

    # sets the columns of the filtered rows to the given values
    _set: allocations_set_input

    # filter the rows which have to be updated
    where: allocations_bool_exp!
  ): allocations_mutation_response

  # update single row of the table: "allocations"
  update_allocations_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: allocations_inc_input

    # sets the columns of the filtered rows to the given values
    _set: allocations_set_input
    pk_columns: allocations_pk_columns_input!
  ): allocations

  # update data of the table: "appointments"
  update_appointments(
    # sets the columns of the filtered rows to the given values
    _set: appointments_set_input

    # filter the rows which have to be updated
    where: appointments_bool_exp!
  ): appointments_mutation_response

  # update single row of the table: "appointments"
  update_appointments_by_pk(
    # sets the columns of the filtered rows to the given values
    _set: appointments_set_input
    pk_columns: appointments_pk_columns_input!
  ): appointments

  # update data of the table: "associations"
  update_associations(
    # increments the integer columns with given value of the filtered values
    _inc: associations_inc_input

    # sets the columns of the filtered rows to the given values
    _set: associations_set_input

    # filter the rows which have to be updated
    where: associations_bool_exp!
  ): associations_mutation_response

  # update single row of the table: "associations"
  update_associations_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: associations_inc_input

    # sets the columns of the filtered rows to the given values
    _set: associations_set_input
    pk_columns: associations_pk_columns_input!
  ): associations

  # update data of the table: "audit_trail"
  update_audit_trail(
    # increments the integer columns with given value of the filtered values
    _inc: audit_trail_inc_input

    # sets the columns of the filtered rows to the given values
    _set: audit_trail_set_input

    # filter the rows which have to be updated
    where: audit_trail_bool_exp!
  ): audit_trail_mutation_response

  # update single row of the table: "audit_trail"
  update_audit_trail_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: audit_trail_inc_input

    # sets the columns of the filtered rows to the given values
    _set: audit_trail_set_input
    pk_columns: audit_trail_pk_columns_input!
  ): audit_trail

  # update data of the table: "available_jobs"
  update_available_jobs(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: available_jobs_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: available_jobs_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: available_jobs_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: available_jobs_delete_key_input

    # increments the integer columns with given value of the filtered values
    _inc: available_jobs_inc_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: available_jobs_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: available_jobs_set_input

    # filter the rows which have to be updated
    where: available_jobs_bool_exp!
  ): available_jobs_mutation_response

  # update single row of the table: "available_jobs"
  update_available_jobs_by_pk(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: available_jobs_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: available_jobs_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: available_jobs_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: available_jobs_delete_key_input

    # increments the integer columns with given value of the filtered values
    _inc: available_jobs_inc_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: available_jobs_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: available_jobs_set_input
    pk_columns: available_jobs_pk_columns_input!
  ): available_jobs

  # update data of the table: "bodyshops"
  update_bodyshops(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: bodyshops_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: bodyshops_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: bodyshops_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: bodyshops_delete_key_input

    # increments the integer columns with given value of the filtered values
    _inc: bodyshops_inc_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: bodyshops_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: bodyshops_set_input

    # filter the rows which have to be updated
    where: bodyshops_bool_exp!
  ): bodyshops_mutation_response

  # update single row of the table: "bodyshops"
  update_bodyshops_by_pk(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: bodyshops_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: bodyshops_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: bodyshops_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: bodyshops_delete_key_input

    # increments the integer columns with given value of the filtered values
    _inc: bodyshops_inc_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: bodyshops_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: bodyshops_set_input
    pk_columns: bodyshops_pk_columns_input!
  ): bodyshops

  # update data of the table: "cccontracts"
  update_cccontracts(
    # increments the integer columns with given value of the filtered values
    _inc: cccontracts_inc_input

    # sets the columns of the filtered rows to the given values
    _set: cccontracts_set_input

    # filter the rows which have to be updated
    where: cccontracts_bool_exp!
  ): cccontracts_mutation_response

  # update single row of the table: "cccontracts"
  update_cccontracts_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: cccontracts_inc_input

    # sets the columns of the filtered rows to the given values
    _set: cccontracts_set_input
    pk_columns: cccontracts_pk_columns_input!
  ): cccontracts

  # update data of the table: "conversations"
  update_conversations(
    # sets the columns of the filtered rows to the given values
    _set: conversations_set_input

    # filter the rows which have to be updated
    where: conversations_bool_exp!
  ): conversations_mutation_response

  # update single row of the table: "conversations"
  update_conversations_by_pk(
    # sets the columns of the filtered rows to the given values
    _set: conversations_set_input
    pk_columns: conversations_pk_columns_input!
  ): conversations

  # update data of the table: "counters"
  update_counters(
    # increments the integer columns with given value of the filtered values
    _inc: counters_inc_input

    # sets the columns of the filtered rows to the given values
    _set: counters_set_input

    # filter the rows which have to be updated
    where: counters_bool_exp!
  ): counters_mutation_response

  # update single row of the table: "counters"
  update_counters_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: counters_inc_input

    # sets the columns of the filtered rows to the given values
    _set: counters_set_input
    pk_columns: counters_pk_columns_input!
  ): counters

  # update data of the table: "courtesycars"
  update_courtesycars(
    # increments the integer columns with given value of the filtered values
    _inc: courtesycars_inc_input

    # sets the columns of the filtered rows to the given values
    _set: courtesycars_set_input

    # filter the rows which have to be updated
    where: courtesycars_bool_exp!
  ): courtesycars_mutation_response

  # update single row of the table: "courtesycars"
  update_courtesycars_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: courtesycars_inc_input

    # sets the columns of the filtered rows to the given values
    _set: courtesycars_set_input
    pk_columns: courtesycars_pk_columns_input!
  ): courtesycars

  # update data of the table: "csi"
  update_csi(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: csi_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: csi_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: csi_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: csi_delete_key_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: csi_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: csi_set_input

    # filter the rows which have to be updated
    where: csi_bool_exp!
  ): csi_mutation_response

  # update single row of the table: "csi"
  update_csi_by_pk(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: csi_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: csi_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: csi_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: csi_delete_key_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: csi_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: csi_set_input
    pk_columns: csi_pk_columns_input!
  ): csi

  # update data of the table: "csiquestions"
  update_csiquestions(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: csiquestions_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: csiquestions_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: csiquestions_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: csiquestions_delete_key_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: csiquestions_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: csiquestions_set_input

    # filter the rows which have to be updated
    where: csiquestions_bool_exp!
  ): csiquestions_mutation_response

  # update single row of the table: "csiquestions"
  update_csiquestions_by_pk(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: csiquestions_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: csiquestions_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: csiquestions_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: csiquestions_delete_key_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: csiquestions_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: csiquestions_set_input
    pk_columns: csiquestions_pk_columns_input!
  ): csiquestions

  # update data of the table: "documents"
  update_documents(
    # sets the columns of the filtered rows to the given values
    _set: documents_set_input

    # filter the rows which have to be updated
    where: documents_bool_exp!
  ): documents_mutation_response

  # update single row of the table: "documents"
  update_documents_by_pk(
    # sets the columns of the filtered rows to the given values
    _set: documents_set_input
    pk_columns: documents_pk_columns_input!
  ): documents

  # update data of the table: "employees"
  update_employees(
    # increments the integer columns with given value of the filtered values
    _inc: employees_inc_input

    # sets the columns of the filtered rows to the given values
    _set: employees_set_input

    # filter the rows which have to be updated
    where: employees_bool_exp!
  ): employees_mutation_response

  # update single row of the table: "employees"
  update_employees_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: employees_inc_input

    # sets the columns of the filtered rows to the given values
    _set: employees_set_input
    pk_columns: employees_pk_columns_input!
  ): employees

  # update data of the table: "invoicelines"
  update_invoicelines(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: invoicelines_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: invoicelines_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: invoicelines_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: invoicelines_delete_key_input

    # increments the integer columns with given value of the filtered values
    _inc: invoicelines_inc_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: invoicelines_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: invoicelines_set_input

    # filter the rows which have to be updated
    where: invoicelines_bool_exp!
  ): invoicelines_mutation_response

  # update single row of the table: "invoicelines"
  update_invoicelines_by_pk(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: invoicelines_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: invoicelines_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: invoicelines_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: invoicelines_delete_key_input

    # increments the integer columns with given value of the filtered values
    _inc: invoicelines_inc_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: invoicelines_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: invoicelines_set_input
    pk_columns: invoicelines_pk_columns_input!
  ): invoicelines

  # update data of the table: "invoices"
  update_invoices(
    # increments the integer columns with given value of the filtered values
    _inc: invoices_inc_input

    # sets the columns of the filtered rows to the given values
    _set: invoices_set_input

    # filter the rows which have to be updated
    where: invoices_bool_exp!
  ): invoices_mutation_response

  # update single row of the table: "invoices"
  update_invoices_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: invoices_inc_input

    # sets the columns of the filtered rows to the given values
    _set: invoices_set_input
    pk_columns: invoices_pk_columns_input!
  ): invoices

  # update data of the table: "job_conversations"
  update_job_conversations(
    # sets the columns of the filtered rows to the given values
    _set: job_conversations_set_input

    # filter the rows which have to be updated
    where: job_conversations_bool_exp!
  ): job_conversations_mutation_response

  # update single row of the table: "job_conversations"
  update_job_conversations_by_pk(
    # sets the columns of the filtered rows to the given values
    _set: job_conversations_set_input
    pk_columns: job_conversations_pk_columns_input!
  ): job_conversations

  # update data of the table: "joblines"
  update_joblines(
    # increments the integer columns with given value of the filtered values
    _inc: joblines_inc_input

    # sets the columns of the filtered rows to the given values
    _set: joblines_set_input

    # filter the rows which have to be updated
    where: joblines_bool_exp!
  ): joblines_mutation_response

  # update single row of the table: "joblines"
  update_joblines_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: joblines_inc_input

    # sets the columns of the filtered rows to the given values
    _set: joblines_set_input
    pk_columns: joblines_pk_columns_input!
  ): joblines

  # update data of the table: "jobs"
  update_jobs(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: jobs_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: jobs_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: jobs_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: jobs_delete_key_input

    # increments the integer columns with given value of the filtered values
    _inc: jobs_inc_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: jobs_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: jobs_set_input

    # filter the rows which have to be updated
    where: jobs_bool_exp!
  ): jobs_mutation_response

  # update single row of the table: "jobs"
  update_jobs_by_pk(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: jobs_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: jobs_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: jobs_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: jobs_delete_key_input

    # increments the integer columns with given value of the filtered values
    _inc: jobs_inc_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: jobs_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: jobs_set_input
    pk_columns: jobs_pk_columns_input!
  ): jobs

  # update data of the table: "masterdata"
  update_masterdata(
    # sets the columns of the filtered rows to the given values
    _set: masterdata_set_input

    # filter the rows which have to be updated
    where: masterdata_bool_exp!
  ): masterdata_mutation_response

  # update single row of the table: "masterdata"
  update_masterdata_by_pk(
    # sets the columns of the filtered rows to the given values
    _set: masterdata_set_input
    pk_columns: masterdata_pk_columns_input!
  ): masterdata

  # update data of the table: "messages"
  update_messages(
    # sets the columns of the filtered rows to the given values
    _set: messages_set_input

    # filter the rows which have to be updated
    where: messages_bool_exp!
  ): messages_mutation_response

  # update single row of the table: "messages"
  update_messages_by_pk(
    # sets the columns of the filtered rows to the given values
    _set: messages_set_input
    pk_columns: messages_pk_columns_input!
  ): messages

  # update data of the table: "notes"
  update_notes(
    # sets the columns of the filtered rows to the given values
    _set: notes_set_input

    # filter the rows which have to be updated
    where: notes_bool_exp!
  ): notes_mutation_response

  # update single row of the table: "notes"
  update_notes_by_pk(
    # sets the columns of the filtered rows to the given values
    _set: notes_set_input
    pk_columns: notes_pk_columns_input!
  ): notes

  # update data of the table: "owners"
  update_owners(
    # increments the integer columns with given value of the filtered values
    _inc: owners_inc_input

    # sets the columns of the filtered rows to the given values
    _set: owners_set_input

    # filter the rows which have to be updated
    where: owners_bool_exp!
  ): owners_mutation_response

  # update single row of the table: "owners"
  update_owners_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: owners_inc_input

    # sets the columns of the filtered rows to the given values
    _set: owners_set_input
    pk_columns: owners_pk_columns_input!
  ): owners

  # update data of the table: "parts_order_lines"
  update_parts_order_lines(
    # increments the integer columns with given value of the filtered values
    _inc: parts_order_lines_inc_input

    # sets the columns of the filtered rows to the given values
    _set: parts_order_lines_set_input

    # filter the rows which have to be updated
    where: parts_order_lines_bool_exp!
  ): parts_order_lines_mutation_response

  # update single row of the table: "parts_order_lines"
  update_parts_order_lines_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: parts_order_lines_inc_input

    # sets the columns of the filtered rows to the given values
    _set: parts_order_lines_set_input
    pk_columns: parts_order_lines_pk_columns_input!
  ): parts_order_lines

  # update data of the table: "parts_orders"
  update_parts_orders(
    # increments the integer columns with given value of the filtered values
    _inc: parts_orders_inc_input

    # sets the columns of the filtered rows to the given values
    _set: parts_orders_set_input

    # filter the rows which have to be updated
    where: parts_orders_bool_exp!
  ): parts_orders_mutation_response

  # update single row of the table: "parts_orders"
  update_parts_orders_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: parts_orders_inc_input

    # sets the columns of the filtered rows to the given values
    _set: parts_orders_set_input
    pk_columns: parts_orders_pk_columns_input!
  ): parts_orders

  # update data of the table: "payments"
  update_payments(
    # increments the integer columns with given value of the filtered values
    _inc: payments_inc_input

    # sets the columns of the filtered rows to the given values
    _set: payments_set_input

    # filter the rows which have to be updated
    where: payments_bool_exp!
  ): payments_mutation_response

  # update single row of the table: "payments"
  update_payments_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: payments_inc_input

    # sets the columns of the filtered rows to the given values
    _set: payments_set_input
    pk_columns: payments_pk_columns_input!
  ): payments

  # update data of the table: "scoreboard"
  update_scoreboard(
    # increments the integer columns with given value of the filtered values
    _inc: scoreboard_inc_input

    # sets the columns of the filtered rows to the given values
    _set: scoreboard_set_input

    # filter the rows which have to be updated
    where: scoreboard_bool_exp!
  ): scoreboard_mutation_response

  # update single row of the table: "scoreboard"
  update_scoreboard_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: scoreboard_inc_input

    # sets the columns of the filtered rows to the given values
    _set: scoreboard_set_input
    pk_columns: scoreboard_pk_columns_input!
  ): scoreboard

  # update data of the table: "templates"
  update_templates(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: templates_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: templates_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: templates_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: templates_delete_key_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: templates_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: templates_set_input

    # filter the rows which have to be updated
    where: templates_bool_exp!
  ): templates_mutation_response

  # update single row of the table: "templates"
  update_templates_by_pk(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: templates_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: templates_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: templates_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: templates_delete_key_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: templates_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: templates_set_input
    pk_columns: templates_pk_columns_input!
  ): templates

  # update data of the table: "timetickets"
  update_timetickets(
    # increments the integer columns with given value of the filtered values
    _inc: timetickets_inc_input

    # sets the columns of the filtered rows to the given values
    _set: timetickets_set_input

    # filter the rows which have to be updated
    where: timetickets_bool_exp!
  ): timetickets_mutation_response

  # update single row of the table: "timetickets"
  update_timetickets_by_pk(
    # increments the integer columns with given value of the filtered values
    _inc: timetickets_inc_input

    # sets the columns of the filtered rows to the given values
    _set: timetickets_set_input
    pk_columns: timetickets_pk_columns_input!
  ): timetickets

  # update data of the table: "users"
  update_users(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: users_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: users_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: users_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: users_delete_key_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: users_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: users_set_input

    # filter the rows which have to be updated
    where: users_bool_exp!
  ): users_mutation_response

  # update single row of the table: "users"
  update_users_by_pk(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: users_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: users_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: users_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: users_delete_key_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: users_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: users_set_input
    pk_columns: users_pk_columns_input!
  ): users

  # update data of the table: "vehicles"
  update_vehicles(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: vehicles_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: vehicles_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: vehicles_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: vehicles_delete_key_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: vehicles_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: vehicles_set_input

    # filter the rows which have to be updated
    where: vehicles_bool_exp!
  ): vehicles_mutation_response

  # update single row of the table: "vehicles"
  update_vehicles_by_pk(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: vehicles_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: vehicles_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: vehicles_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: vehicles_delete_key_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: vehicles_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: vehicles_set_input
    pk_columns: vehicles_pk_columns_input!
  ): vehicles

  # update data of the table: "vendors"
  update_vendors(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: vendors_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: vendors_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: vendors_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: vendors_delete_key_input

    # increments the integer columns with given value of the filtered values
    _inc: vendors_inc_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: vendors_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: vendors_set_input

    # filter the rows which have to be updated
    where: vendors_bool_exp!
  ): vendors_mutation_response

  # update single row of the table: "vendors"
  update_vendors_by_pk(
    # append existing jsonb value of filtered columns with new jsonb value
    _append: vendors_append_input

    # delete the field or element with specified path (for JSON arrays, negative integers count from the end)
    _delete_at_path: vendors_delete_at_path_input

    # delete the array element with specified index (negative integers count from
    # the end). throws an error if top level container is not an array
    _delete_elem: vendors_delete_elem_input

    # delete key/value pair or string element. key/value pairs are matched based on their key value
    _delete_key: vendors_delete_key_input

    # increments the integer columns with given value of the filtered values
    _inc: vendors_inc_input

    # prepend existing jsonb value of filtered columns with new jsonb value
    _prepend: vendors_prepend_input

    # sets the columns of the filtered rows to the given values
    _set: vendors_set_input
    pk_columns: vendors_pk_columns_input!
  ): vendors
}

# columns and relationships of "notes"
type notes {
  created_at: timestamptz!
  created_by: String!
  critical: Boolean!
  id: uuid!

  # An object relationship
  job: jobs!
  jobid: uuid!
  private: Boolean!
  text: String
  updated_at: timestamptz!

  # An object relationship
  user: users!
}

# aggregated selection of "notes"
type notes_aggregate {
  aggregate: notes_aggregate_fields
  nodes: [notes!]!
}

# aggregate fields of "notes"
type notes_aggregate_fields {
  count(columns: [notes_select_column!], distinct: Boolean): Int
  max: notes_max_fields
  min: notes_min_fields
}

# order by aggregate values of table "notes"
input notes_aggregate_order_by {
  count: order_by
  max: notes_max_order_by
  min: notes_min_order_by
}

# input type for inserting array relation for remote table "notes"
input notes_arr_rel_insert_input {
  data: [notes_insert_input!]!
  on_conflict: notes_on_conflict
}

# Boolean expression to filter rows from the table "notes". All fields are combined with a logical 'AND'.
input notes_bool_exp {
  _and: [notes_bool_exp]
  _not: notes_bool_exp
  _or: [notes_bool_exp]
  created_at: timestamptz_comparison_exp
  created_by: String_comparison_exp
  critical: Boolean_comparison_exp
  id: uuid_comparison_exp
  job: jobs_bool_exp
  jobid: uuid_comparison_exp
  private: Boolean_comparison_exp
  text: String_comparison_exp
  updated_at: timestamptz_comparison_exp
  user: users_bool_exp
}

# unique or primary key constraints on table "notes"
enum notes_constraint {
  # unique or primary key constraint
  notes_pkey
}

# input type for inserting data into table "notes"
input notes_insert_input {
  created_at: timestamptz
  created_by: String
  critical: Boolean
  id: uuid
  job: jobs_obj_rel_insert_input
  jobid: uuid
  private: Boolean
  text: String
  updated_at: timestamptz
  user: users_obj_rel_insert_input
}

# aggregate max on columns
type notes_max_fields {
  created_at: timestamptz
  created_by: String
  id: uuid
  jobid: uuid
  text: String
  updated_at: timestamptz
}

# order by max() on columns of table "notes"
input notes_max_order_by {
  created_at: order_by
  created_by: order_by
  id: order_by
  jobid: order_by
  text: order_by
  updated_at: order_by
}

# aggregate min on columns
type notes_min_fields {
  created_at: timestamptz
  created_by: String
  id: uuid
  jobid: uuid
  text: String
  updated_at: timestamptz
}

# order by min() on columns of table "notes"
input notes_min_order_by {
  created_at: order_by
  created_by: order_by
  id: order_by
  jobid: order_by
  text: order_by
  updated_at: order_by
}

# response of any mutation on the table "notes"
type notes_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [notes!]!
}

# input type for inserting object relation for remote table "notes"
input notes_obj_rel_insert_input {
  data: notes_insert_input!
  on_conflict: notes_on_conflict
}

# on conflict condition type for table "notes"
input notes_on_conflict {
  constraint: notes_constraint!
  update_columns: [notes_update_column!]!
  where: notes_bool_exp
}

# ordering options when selecting data from "notes"
input notes_order_by {
  created_at: order_by
  created_by: order_by
  critical: order_by
  id: order_by
  job: jobs_order_by
  jobid: order_by
  private: order_by
  text: order_by
  updated_at: order_by
  user: users_order_by
}

# primary key columns input for table: "notes"
input notes_pk_columns_input {
  id: uuid!
}

# select columns of table "notes"
enum notes_select_column {
  # column name
  created_at

  # column name
  created_by

  # column name
  critical

  # column name
  id

  # column name
  jobid

  # column name
  private

  # column name
  text

  # column name
  updated_at
}

# input type for updating data in table "notes"
input notes_set_input {
  created_at: timestamptz
  created_by: String
  critical: Boolean
  id: uuid
  jobid: uuid
  private: Boolean
  text: String
  updated_at: timestamptz
}

# update columns of table "notes"
enum notes_update_column {
  # column name
  created_at

  # column name
  created_by

  # column name
  critical

  # column name
  id

  # column name
  jobid

  # column name
  private

  # column name
  text

  # column name
  updated_at
}

scalar numeric

# expression to compare columns of type numeric. All fields are combined with logical 'AND'.
input numeric_comparison_exp {
  _eq: numeric
  _gt: numeric
  _gte: numeric
  _in: [numeric!]
  _is_null: Boolean
  _lt: numeric
  _lte: numeric
  _neq: numeric
  _nin: [numeric!]
}

# column ordering options
enum order_by {
  # in the ascending order, nulls last
  asc

  # in the ascending order, nulls first
  asc_nulls_first

  # in the ascending order, nulls last
  asc_nulls_last

  # in the descending order, nulls first
  desc

  # in the descending order, nulls first
  desc_nulls_first

  # in the descending order, nulls last
  desc_nulls_last
}

# columns and relationships of "owners"
type owners {
  accountingid: bigint!
  allow_text_message: Boolean!

  # An object relationship
  bodyshop: bodyshops!
  created_at: timestamptz!
  id: uuid!

  # An array relationship
  jobs(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): [jobs!]!

  # An aggregated array relationship
  jobs_aggregate(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): jobs_aggregate!
  ownr_addr1: String
  ownr_addr2: String
  ownr_city: String
  ownr_co_nm: String
  ownr_ctry: String
  ownr_ea: String
  ownr_fn: String
  ownr_ln: String
  ownr_ph1: String
  ownr_ph2: String
  ownr_st: String
  ownr_title: String
  ownr_zip: String
  preferred_contact: String
  shopid: uuid!
  updated_at: timestamptz!
}

# aggregated selection of "owners"
type owners_aggregate {
  aggregate: owners_aggregate_fields
  nodes: [owners!]!
}

# aggregate fields of "owners"
type owners_aggregate_fields {
  avg: owners_avg_fields
  count(columns: [owners_select_column!], distinct: Boolean): Int
  max: owners_max_fields
  min: owners_min_fields
  stddev: owners_stddev_fields
  stddev_pop: owners_stddev_pop_fields
  stddev_samp: owners_stddev_samp_fields
  sum: owners_sum_fields
  var_pop: owners_var_pop_fields
  var_samp: owners_var_samp_fields
  variance: owners_variance_fields
}

# order by aggregate values of table "owners"
input owners_aggregate_order_by {
  avg: owners_avg_order_by
  count: order_by
  max: owners_max_order_by
  min: owners_min_order_by
  stddev: owners_stddev_order_by
  stddev_pop: owners_stddev_pop_order_by
  stddev_samp: owners_stddev_samp_order_by
  sum: owners_sum_order_by
  var_pop: owners_var_pop_order_by
  var_samp: owners_var_samp_order_by
  variance: owners_variance_order_by
}

# input type for inserting array relation for remote table "owners"
input owners_arr_rel_insert_input {
  data: [owners_insert_input!]!
  on_conflict: owners_on_conflict
}

# aggregate avg on columns
type owners_avg_fields {
  accountingid: Float
}

# order by avg() on columns of table "owners"
input owners_avg_order_by {
  accountingid: order_by
}

# Boolean expression to filter rows from the table "owners". All fields are combined with a logical 'AND'.
input owners_bool_exp {
  _and: [owners_bool_exp]
  _not: owners_bool_exp
  _or: [owners_bool_exp]
  accountingid: bigint_comparison_exp
  allow_text_message: Boolean_comparison_exp
  bodyshop: bodyshops_bool_exp
  created_at: timestamptz_comparison_exp
  id: uuid_comparison_exp
  jobs: jobs_bool_exp
  ownr_addr1: String_comparison_exp
  ownr_addr2: String_comparison_exp
  ownr_city: String_comparison_exp
  ownr_co_nm: String_comparison_exp
  ownr_ctry: String_comparison_exp
  ownr_ea: String_comparison_exp
  ownr_fn: String_comparison_exp
  ownr_ln: String_comparison_exp
  ownr_ph1: String_comparison_exp
  ownr_ph2: String_comparison_exp
  ownr_st: String_comparison_exp
  ownr_title: String_comparison_exp
  ownr_zip: String_comparison_exp
  preferred_contact: String_comparison_exp
  shopid: uuid_comparison_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "owners"
enum owners_constraint {
  # unique or primary key constraint
  owners_pkey
}

# input type for incrementing integer column in table "owners"
input owners_inc_input {
  accountingid: bigint
}

# input type for inserting data into table "owners"
input owners_insert_input {
  accountingid: bigint
  allow_text_message: Boolean
  bodyshop: bodyshops_obj_rel_insert_input
  created_at: timestamptz
  id: uuid
  jobs: jobs_arr_rel_insert_input
  ownr_addr1: String
  ownr_addr2: String
  ownr_city: String
  ownr_co_nm: String
  ownr_ctry: String
  ownr_ea: String
  ownr_fn: String
  ownr_ln: String
  ownr_ph1: String
  ownr_ph2: String
  ownr_st: String
  ownr_title: String
  ownr_zip: String
  preferred_contact: String
  shopid: uuid
  updated_at: timestamptz
}

# aggregate max on columns
type owners_max_fields {
  accountingid: bigint
  created_at: timestamptz
  id: uuid
  ownr_addr1: String
  ownr_addr2: String
  ownr_city: String
  ownr_co_nm: String
  ownr_ctry: String
  ownr_ea: String
  ownr_fn: String
  ownr_ln: String
  ownr_ph1: String
  ownr_ph2: String
  ownr_st: String
  ownr_title: String
  ownr_zip: String
  preferred_contact: String
  shopid: uuid
  updated_at: timestamptz
}

# order by max() on columns of table "owners"
input owners_max_order_by {
  accountingid: order_by
  created_at: order_by
  id: order_by
  ownr_addr1: order_by
  ownr_addr2: order_by
  ownr_city: order_by
  ownr_co_nm: order_by
  ownr_ctry: order_by
  ownr_ea: order_by
  ownr_fn: order_by
  ownr_ln: order_by
  ownr_ph1: order_by
  ownr_ph2: order_by
  ownr_st: order_by
  ownr_title: order_by
  ownr_zip: order_by
  preferred_contact: order_by
  shopid: order_by
  updated_at: order_by
}

# aggregate min on columns
type owners_min_fields {
  accountingid: bigint
  created_at: timestamptz
  id: uuid
  ownr_addr1: String
  ownr_addr2: String
  ownr_city: String
  ownr_co_nm: String
  ownr_ctry: String
  ownr_ea: String
  ownr_fn: String
  ownr_ln: String
  ownr_ph1: String
  ownr_ph2: String
  ownr_st: String
  ownr_title: String
  ownr_zip: String
  preferred_contact: String
  shopid: uuid
  updated_at: timestamptz
}

# order by min() on columns of table "owners"
input owners_min_order_by {
  accountingid: order_by
  created_at: order_by
  id: order_by
  ownr_addr1: order_by
  ownr_addr2: order_by
  ownr_city: order_by
  ownr_co_nm: order_by
  ownr_ctry: order_by
  ownr_ea: order_by
  ownr_fn: order_by
  ownr_ln: order_by
  ownr_ph1: order_by
  ownr_ph2: order_by
  ownr_st: order_by
  ownr_title: order_by
  ownr_zip: order_by
  preferred_contact: order_by
  shopid: order_by
  updated_at: order_by
}

# response of any mutation on the table "owners"
type owners_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [owners!]!
}

# input type for inserting object relation for remote table "owners"
input owners_obj_rel_insert_input {
  data: owners_insert_input!
  on_conflict: owners_on_conflict
}

# on conflict condition type for table "owners"
input owners_on_conflict {
  constraint: owners_constraint!
  update_columns: [owners_update_column!]!
  where: owners_bool_exp
}

# ordering options when selecting data from "owners"
input owners_order_by {
  accountingid: order_by
  allow_text_message: order_by
  bodyshop: bodyshops_order_by
  created_at: order_by
  id: order_by
  jobs_aggregate: jobs_aggregate_order_by
  ownr_addr1: order_by
  ownr_addr2: order_by
  ownr_city: order_by
  ownr_co_nm: order_by
  ownr_ctry: order_by
  ownr_ea: order_by
  ownr_fn: order_by
  ownr_ln: order_by
  ownr_ph1: order_by
  ownr_ph2: order_by
  ownr_st: order_by
  ownr_title: order_by
  ownr_zip: order_by
  preferred_contact: order_by
  shopid: order_by
  updated_at: order_by
}

# primary key columns input for table: "owners"
input owners_pk_columns_input {
  id: uuid!
}

# select columns of table "owners"
enum owners_select_column {
  # column name
  accountingid

  # column name
  allow_text_message

  # column name
  created_at

  # column name
  id

  # column name
  ownr_addr1

  # column name
  ownr_addr2

  # column name
  ownr_city

  # column name
  ownr_co_nm

  # column name
  ownr_ctry

  # column name
  ownr_ea

  # column name
  ownr_fn

  # column name
  ownr_ln

  # column name
  ownr_ph1

  # column name
  ownr_ph2

  # column name
  ownr_st

  # column name
  ownr_title

  # column name
  ownr_zip

  # column name
  preferred_contact

  # column name
  shopid

  # column name
  updated_at
}

# input type for updating data in table "owners"
input owners_set_input {
  accountingid: bigint
  allow_text_message: Boolean
  created_at: timestamptz
  id: uuid
  ownr_addr1: String
  ownr_addr2: String
  ownr_city: String
  ownr_co_nm: String
  ownr_ctry: String
  ownr_ea: String
  ownr_fn: String
  ownr_ln: String
  ownr_ph1: String
  ownr_ph2: String
  ownr_st: String
  ownr_title: String
  ownr_zip: String
  preferred_contact: String
  shopid: uuid
  updated_at: timestamptz
}

# aggregate stddev on columns
type owners_stddev_fields {
  accountingid: Float
}

# order by stddev() on columns of table "owners"
input owners_stddev_order_by {
  accountingid: order_by
}

# aggregate stddev_pop on columns
type owners_stddev_pop_fields {
  accountingid: Float
}

# order by stddev_pop() on columns of table "owners"
input owners_stddev_pop_order_by {
  accountingid: order_by
}

# aggregate stddev_samp on columns
type owners_stddev_samp_fields {
  accountingid: Float
}

# order by stddev_samp() on columns of table "owners"
input owners_stddev_samp_order_by {
  accountingid: order_by
}

# aggregate sum on columns
type owners_sum_fields {
  accountingid: bigint
}

# order by sum() on columns of table "owners"
input owners_sum_order_by {
  accountingid: order_by
}

# update columns of table "owners"
enum owners_update_column {
  # column name
  accountingid

  # column name
  allow_text_message

  # column name
  created_at

  # column name
  id

  # column name
  ownr_addr1

  # column name
  ownr_addr2

  # column name
  ownr_city

  # column name
  ownr_co_nm

  # column name
  ownr_ctry

  # column name
  ownr_ea

  # column name
  ownr_fn

  # column name
  ownr_ln

  # column name
  ownr_ph1

  # column name
  ownr_ph2

  # column name
  ownr_st

  # column name
  ownr_title

  # column name
  ownr_zip

  # column name
  preferred_contact

  # column name
  shopid

  # column name
  updated_at
}

# aggregate var_pop on columns
type owners_var_pop_fields {
  accountingid: Float
}

# order by var_pop() on columns of table "owners"
input owners_var_pop_order_by {
  accountingid: order_by
}

# aggregate var_samp on columns
type owners_var_samp_fields {
  accountingid: Float
}

# order by var_samp() on columns of table "owners"
input owners_var_samp_order_by {
  accountingid: order_by
}

# aggregate variance on columns
type owners_variance_fields {
  accountingid: Float
}

# order by variance() on columns of table "owners"
input owners_variance_order_by {
  accountingid: order_by
}

# columns and relationships of "parts_order_lines"
type parts_order_lines {
  act_price: numeric
  backordered_eta: date
  backordered_on: date
  created_at: timestamptz!
  db_price: numeric
  id: uuid!
  job_line_id: uuid

  # An object relationship
  jobline: joblines
  line_desc: String
  line_remarks: String
  oem_partno: String
  orderid: uuid!

  # An object relationship
  parts_order: parts_orders!
  quantity: numeric!
  status: String!
  updated_at: timestamptz!
}

# aggregated selection of "parts_order_lines"
type parts_order_lines_aggregate {
  aggregate: parts_order_lines_aggregate_fields
  nodes: [parts_order_lines!]!
}

# aggregate fields of "parts_order_lines"
type parts_order_lines_aggregate_fields {
  avg: parts_order_lines_avg_fields
  count(columns: [parts_order_lines_select_column!], distinct: Boolean): Int
  max: parts_order_lines_max_fields
  min: parts_order_lines_min_fields
  stddev: parts_order_lines_stddev_fields
  stddev_pop: parts_order_lines_stddev_pop_fields
  stddev_samp: parts_order_lines_stddev_samp_fields
  sum: parts_order_lines_sum_fields
  var_pop: parts_order_lines_var_pop_fields
  var_samp: parts_order_lines_var_samp_fields
  variance: parts_order_lines_variance_fields
}

# order by aggregate values of table "parts_order_lines"
input parts_order_lines_aggregate_order_by {
  avg: parts_order_lines_avg_order_by
  count: order_by
  max: parts_order_lines_max_order_by
  min: parts_order_lines_min_order_by
  stddev: parts_order_lines_stddev_order_by
  stddev_pop: parts_order_lines_stddev_pop_order_by
  stddev_samp: parts_order_lines_stddev_samp_order_by
  sum: parts_order_lines_sum_order_by
  var_pop: parts_order_lines_var_pop_order_by
  var_samp: parts_order_lines_var_samp_order_by
  variance: parts_order_lines_variance_order_by
}

# input type for inserting array relation for remote table "parts_order_lines"
input parts_order_lines_arr_rel_insert_input {
  data: [parts_order_lines_insert_input!]!
  on_conflict: parts_order_lines_on_conflict
}

# aggregate avg on columns
type parts_order_lines_avg_fields {
  act_price: Float
  db_price: Float
  quantity: Float
}

# order by avg() on columns of table "parts_order_lines"
input parts_order_lines_avg_order_by {
  act_price: order_by
  db_price: order_by
  quantity: order_by
}

# Boolean expression to filter rows from the table "parts_order_lines". All fields are combined with a logical 'AND'.
input parts_order_lines_bool_exp {
  _and: [parts_order_lines_bool_exp]
  _not: parts_order_lines_bool_exp
  _or: [parts_order_lines_bool_exp]
  act_price: numeric_comparison_exp
  backordered_eta: date_comparison_exp
  backordered_on: date_comparison_exp
  created_at: timestamptz_comparison_exp
  db_price: numeric_comparison_exp
  id: uuid_comparison_exp
  job_line_id: uuid_comparison_exp
  jobline: joblines_bool_exp
  line_desc: String_comparison_exp
  line_remarks: String_comparison_exp
  oem_partno: String_comparison_exp
  orderid: uuid_comparison_exp
  parts_order: parts_orders_bool_exp
  quantity: numeric_comparison_exp
  status: String_comparison_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "parts_order_lines"
enum parts_order_lines_constraint {
  # unique or primary key constraint
  parts_order_lines_pkey
}

# input type for incrementing integer column in table "parts_order_lines"
input parts_order_lines_inc_input {
  act_price: numeric
  db_price: numeric
  quantity: numeric
}

# input type for inserting data into table "parts_order_lines"
input parts_order_lines_insert_input {
  act_price: numeric
  backordered_eta: date
  backordered_on: date
  created_at: timestamptz
  db_price: numeric
  id: uuid
  job_line_id: uuid
  jobline: joblines_obj_rel_insert_input
  line_desc: String
  line_remarks: String
  oem_partno: String
  orderid: uuid
  parts_order: parts_orders_obj_rel_insert_input
  quantity: numeric
  status: String
  updated_at: timestamptz
}

# aggregate max on columns
type parts_order_lines_max_fields {
  act_price: numeric
  backordered_eta: date
  backordered_on: date
  created_at: timestamptz
  db_price: numeric
  id: uuid
  job_line_id: uuid
  line_desc: String
  line_remarks: String
  oem_partno: String
  orderid: uuid
  quantity: numeric
  status: String
  updated_at: timestamptz
}

# order by max() on columns of table "parts_order_lines"
input parts_order_lines_max_order_by {
  act_price: order_by
  backordered_eta: order_by
  backordered_on: order_by
  created_at: order_by
  db_price: order_by
  id: order_by
  job_line_id: order_by
  line_desc: order_by
  line_remarks: order_by
  oem_partno: order_by
  orderid: order_by
  quantity: order_by
  status: order_by
  updated_at: order_by
}

# aggregate min on columns
type parts_order_lines_min_fields {
  act_price: numeric
  backordered_eta: date
  backordered_on: date
  created_at: timestamptz
  db_price: numeric
  id: uuid
  job_line_id: uuid
  line_desc: String
  line_remarks: String
  oem_partno: String
  orderid: uuid
  quantity: numeric
  status: String
  updated_at: timestamptz
}

# order by min() on columns of table "parts_order_lines"
input parts_order_lines_min_order_by {
  act_price: order_by
  backordered_eta: order_by
  backordered_on: order_by
  created_at: order_by
  db_price: order_by
  id: order_by
  job_line_id: order_by
  line_desc: order_by
  line_remarks: order_by
  oem_partno: order_by
  orderid: order_by
  quantity: order_by
  status: order_by
  updated_at: order_by
}

# response of any mutation on the table "parts_order_lines"
type parts_order_lines_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [parts_order_lines!]!
}

# input type for inserting object relation for remote table "parts_order_lines"
input parts_order_lines_obj_rel_insert_input {
  data: parts_order_lines_insert_input!
  on_conflict: parts_order_lines_on_conflict
}

# on conflict condition type for table "parts_order_lines"
input parts_order_lines_on_conflict {
  constraint: parts_order_lines_constraint!
  update_columns: [parts_order_lines_update_column!]!
  where: parts_order_lines_bool_exp
}

# ordering options when selecting data from "parts_order_lines"
input parts_order_lines_order_by {
  act_price: order_by
  backordered_eta: order_by
  backordered_on: order_by
  created_at: order_by
  db_price: order_by
  id: order_by
  job_line_id: order_by
  jobline: joblines_order_by
  line_desc: order_by
  line_remarks: order_by
  oem_partno: order_by
  orderid: order_by
  parts_order: parts_orders_order_by
  quantity: order_by
  status: order_by
  updated_at: order_by
}

# primary key columns input for table: "parts_order_lines"
input parts_order_lines_pk_columns_input {
  id: uuid!
}

# select columns of table "parts_order_lines"
enum parts_order_lines_select_column {
  # column name
  act_price

  # column name
  backordered_eta

  # column name
  backordered_on

  # column name
  created_at

  # column name
  db_price

  # column name
  id

  # column name
  job_line_id

  # column name
  line_desc

  # column name
  line_remarks

  # column name
  oem_partno

  # column name
  orderid

  # column name
  quantity

  # column name
  status

  # column name
  updated_at
}

# input type for updating data in table "parts_order_lines"
input parts_order_lines_set_input {
  act_price: numeric
  backordered_eta: date
  backordered_on: date
  created_at: timestamptz
  db_price: numeric
  id: uuid
  job_line_id: uuid
  line_desc: String
  line_remarks: String
  oem_partno: String
  orderid: uuid
  quantity: numeric
  status: String
  updated_at: timestamptz
}

# aggregate stddev on columns
type parts_order_lines_stddev_fields {
  act_price: Float
  db_price: Float
  quantity: Float
}

# order by stddev() on columns of table "parts_order_lines"
input parts_order_lines_stddev_order_by {
  act_price: order_by
  db_price: order_by
  quantity: order_by
}

# aggregate stddev_pop on columns
type parts_order_lines_stddev_pop_fields {
  act_price: Float
  db_price: Float
  quantity: Float
}

# order by stddev_pop() on columns of table "parts_order_lines"
input parts_order_lines_stddev_pop_order_by {
  act_price: order_by
  db_price: order_by
  quantity: order_by
}

# aggregate stddev_samp on columns
type parts_order_lines_stddev_samp_fields {
  act_price: Float
  db_price: Float
  quantity: Float
}

# order by stddev_samp() on columns of table "parts_order_lines"
input parts_order_lines_stddev_samp_order_by {
  act_price: order_by
  db_price: order_by
  quantity: order_by
}

# aggregate sum on columns
type parts_order_lines_sum_fields {
  act_price: numeric
  db_price: numeric
  quantity: numeric
}

# order by sum() on columns of table "parts_order_lines"
input parts_order_lines_sum_order_by {
  act_price: order_by
  db_price: order_by
  quantity: order_by
}

# update columns of table "parts_order_lines"
enum parts_order_lines_update_column {
  # column name
  act_price

  # column name
  backordered_eta

  # column name
  backordered_on

  # column name
  created_at

  # column name
  db_price

  # column name
  id

  # column name
  job_line_id

  # column name
  line_desc

  # column name
  line_remarks

  # column name
  oem_partno

  # column name
  orderid

  # column name
  quantity

  # column name
  status

  # column name
  updated_at
}

# aggregate var_pop on columns
type parts_order_lines_var_pop_fields {
  act_price: Float
  db_price: Float
  quantity: Float
}

# order by var_pop() on columns of table "parts_order_lines"
input parts_order_lines_var_pop_order_by {
  act_price: order_by
  db_price: order_by
  quantity: order_by
}

# aggregate var_samp on columns
type parts_order_lines_var_samp_fields {
  act_price: Float
  db_price: Float
  quantity: Float
}

# order by var_samp() on columns of table "parts_order_lines"
input parts_order_lines_var_samp_order_by {
  act_price: order_by
  db_price: order_by
  quantity: order_by
}

# aggregate variance on columns
type parts_order_lines_variance_fields {
  act_price: Float
  db_price: Float
  quantity: Float
}

# order by variance() on columns of table "parts_order_lines"
input parts_order_lines_variance_order_by {
  act_price: order_by
  db_price: order_by
  quantity: order_by
}

# columns and relationships of "parts_orders"
type parts_orders {
  created_at: timestamptz!
  deliver_by: date
  id: uuid!

  # An object relationship
  invoice: invoices

  # An object relationship
  job: jobs!
  jobid: uuid!
  order_date: date!
  order_number: Int!

  # An array relationship
  parts_order_lines(
    # distinct select on columns
    distinct_on: [parts_order_lines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_order_lines_order_by!]

    # filter the rows returned
    where: parts_order_lines_bool_exp
  ): [parts_order_lines!]!

  # An aggregated array relationship
  parts_order_lines_aggregate(
    # distinct select on columns
    distinct_on: [parts_order_lines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_order_lines_order_by!]

    # filter the rows returned
    where: parts_order_lines_bool_exp
  ): parts_order_lines_aggregate!
  return: Boolean!
  returnfrominvoice: uuid
  status: String!
  updated_at: timestamptz!

  # An object relationship
  user: users!
  user_email: String!

  # An object relationship
  vendor: vendors!
  vendorid: uuid!
}

# aggregated selection of "parts_orders"
type parts_orders_aggregate {
  aggregate: parts_orders_aggregate_fields
  nodes: [parts_orders!]!
}

# aggregate fields of "parts_orders"
type parts_orders_aggregate_fields {
  avg: parts_orders_avg_fields
  count(columns: [parts_orders_select_column!], distinct: Boolean): Int
  max: parts_orders_max_fields
  min: parts_orders_min_fields
  stddev: parts_orders_stddev_fields
  stddev_pop: parts_orders_stddev_pop_fields
  stddev_samp: parts_orders_stddev_samp_fields
  sum: parts_orders_sum_fields
  var_pop: parts_orders_var_pop_fields
  var_samp: parts_orders_var_samp_fields
  variance: parts_orders_variance_fields
}

# order by aggregate values of table "parts_orders"
input parts_orders_aggregate_order_by {
  avg: parts_orders_avg_order_by
  count: order_by
  max: parts_orders_max_order_by
  min: parts_orders_min_order_by
  stddev: parts_orders_stddev_order_by
  stddev_pop: parts_orders_stddev_pop_order_by
  stddev_samp: parts_orders_stddev_samp_order_by
  sum: parts_orders_sum_order_by
  var_pop: parts_orders_var_pop_order_by
  var_samp: parts_orders_var_samp_order_by
  variance: parts_orders_variance_order_by
}

# input type for inserting array relation for remote table "parts_orders"
input parts_orders_arr_rel_insert_input {
  data: [parts_orders_insert_input!]!
  on_conflict: parts_orders_on_conflict
}

# aggregate avg on columns
type parts_orders_avg_fields {
  order_number: Float
}

# order by avg() on columns of table "parts_orders"
input parts_orders_avg_order_by {
  order_number: order_by
}

# Boolean expression to filter rows from the table "parts_orders". All fields are combined with a logical 'AND'.
input parts_orders_bool_exp {
  _and: [parts_orders_bool_exp]
  _not: parts_orders_bool_exp
  _or: [parts_orders_bool_exp]
  created_at: timestamptz_comparison_exp
  deliver_by: date_comparison_exp
  id: uuid_comparison_exp
  invoice: invoices_bool_exp
  job: jobs_bool_exp
  jobid: uuid_comparison_exp
  order_date: date_comparison_exp
  order_number: Int_comparison_exp
  parts_order_lines: parts_order_lines_bool_exp
  return: Boolean_comparison_exp
  returnfrominvoice: uuid_comparison_exp
  status: String_comparison_exp
  updated_at: timestamptz_comparison_exp
  user: users_bool_exp
  user_email: String_comparison_exp
  vendor: vendors_bool_exp
  vendorid: uuid_comparison_exp
}

# unique or primary key constraints on table "parts_orders"
enum parts_orders_constraint {
  # unique or primary key constraint
  parts_order_pkey
}

# input type for incrementing integer column in table "parts_orders"
input parts_orders_inc_input {
  order_number: Int
}

# input type for inserting data into table "parts_orders"
input parts_orders_insert_input {
  created_at: timestamptz
  deliver_by: date
  id: uuid
  invoice: invoices_obj_rel_insert_input
  job: jobs_obj_rel_insert_input
  jobid: uuid
  order_date: date
  order_number: Int
  parts_order_lines: parts_order_lines_arr_rel_insert_input
  return: Boolean
  returnfrominvoice: uuid
  status: String
  updated_at: timestamptz
  user: users_obj_rel_insert_input
  user_email: String
  vendor: vendors_obj_rel_insert_input
  vendorid: uuid
}

# aggregate max on columns
type parts_orders_max_fields {
  created_at: timestamptz
  deliver_by: date
  id: uuid
  jobid: uuid
  order_date: date
  order_number: Int
  returnfrominvoice: uuid
  status: String
  updated_at: timestamptz
  user_email: String
  vendorid: uuid
}

# order by max() on columns of table "parts_orders"
input parts_orders_max_order_by {
  created_at: order_by
  deliver_by: order_by
  id: order_by
  jobid: order_by
  order_date: order_by
  order_number: order_by
  returnfrominvoice: order_by
  status: order_by
  updated_at: order_by
  user_email: order_by
  vendorid: order_by
}

# aggregate min on columns
type parts_orders_min_fields {
  created_at: timestamptz
  deliver_by: date
  id: uuid
  jobid: uuid
  order_date: date
  order_number: Int
  returnfrominvoice: uuid
  status: String
  updated_at: timestamptz
  user_email: String
  vendorid: uuid
}

# order by min() on columns of table "parts_orders"
input parts_orders_min_order_by {
  created_at: order_by
  deliver_by: order_by
  id: order_by
  jobid: order_by
  order_date: order_by
  order_number: order_by
  returnfrominvoice: order_by
  status: order_by
  updated_at: order_by
  user_email: order_by
  vendorid: order_by
}

# response of any mutation on the table "parts_orders"
type parts_orders_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [parts_orders!]!
}

# input type for inserting object relation for remote table "parts_orders"
input parts_orders_obj_rel_insert_input {
  data: parts_orders_insert_input!
  on_conflict: parts_orders_on_conflict
}

# on conflict condition type for table "parts_orders"
input parts_orders_on_conflict {
  constraint: parts_orders_constraint!
  update_columns: [parts_orders_update_column!]!
  where: parts_orders_bool_exp
}

# ordering options when selecting data from "parts_orders"
input parts_orders_order_by {
  created_at: order_by
  deliver_by: order_by
  id: order_by
  invoice: invoices_order_by
  job: jobs_order_by
  jobid: order_by
  order_date: order_by
  order_number: order_by
  parts_order_lines_aggregate: parts_order_lines_aggregate_order_by
  return: order_by
  returnfrominvoice: order_by
  status: order_by
  updated_at: order_by
  user: users_order_by
  user_email: order_by
  vendor: vendors_order_by
  vendorid: order_by
}

# primary key columns input for table: "parts_orders"
input parts_orders_pk_columns_input {
  id: uuid!
}

# select columns of table "parts_orders"
enum parts_orders_select_column {
  # column name
  created_at

  # column name
  deliver_by

  # column name
  id

  # column name
  jobid

  # column name
  order_date

  # column name
  order_number

  # column name
  return

  # column name
  returnfrominvoice

  # column name
  status

  # column name
  updated_at

  # column name
  user_email

  # column name
  vendorid
}

# input type for updating data in table "parts_orders"
input parts_orders_set_input {
  created_at: timestamptz
  deliver_by: date
  id: uuid
  jobid: uuid
  order_date: date
  order_number: Int
  return: Boolean
  returnfrominvoice: uuid
  status: String
  updated_at: timestamptz
  user_email: String
  vendorid: uuid
}

# aggregate stddev on columns
type parts_orders_stddev_fields {
  order_number: Float
}

# order by stddev() on columns of table "parts_orders"
input parts_orders_stddev_order_by {
  order_number: order_by
}

# aggregate stddev_pop on columns
type parts_orders_stddev_pop_fields {
  order_number: Float
}

# order by stddev_pop() on columns of table "parts_orders"
input parts_orders_stddev_pop_order_by {
  order_number: order_by
}

# aggregate stddev_samp on columns
type parts_orders_stddev_samp_fields {
  order_number: Float
}

# order by stddev_samp() on columns of table "parts_orders"
input parts_orders_stddev_samp_order_by {
  order_number: order_by
}

# aggregate sum on columns
type parts_orders_sum_fields {
  order_number: Int
}

# order by sum() on columns of table "parts_orders"
input parts_orders_sum_order_by {
  order_number: order_by
}

# update columns of table "parts_orders"
enum parts_orders_update_column {
  # column name
  created_at

  # column name
  deliver_by

  # column name
  id

  # column name
  jobid

  # column name
  order_date

  # column name
  order_number

  # column name
  return

  # column name
  returnfrominvoice

  # column name
  status

  # column name
  updated_at

  # column name
  user_email

  # column name
  vendorid
}

# aggregate var_pop on columns
type parts_orders_var_pop_fields {
  order_number: Float
}

# order by var_pop() on columns of table "parts_orders"
input parts_orders_var_pop_order_by {
  order_number: order_by
}

# aggregate var_samp on columns
type parts_orders_var_samp_fields {
  order_number: Float
}

# order by var_samp() on columns of table "parts_orders"
input parts_orders_var_samp_order_by {
  order_number: order_by
}

# aggregate variance on columns
type parts_orders_variance_fields {
  order_number: Float
}

# order by variance() on columns of table "parts_orders"
input parts_orders_variance_order_by {
  order_number: order_by
}

# columns and relationships of "payments"
type payments {
  amount: numeric!
  created_at: timestamptz!
  exportedat: timestamptz
  id: uuid!

  # An object relationship
  job: jobs!
  jobid: uuid!
  memo: String
  payer: String
  stripeid: String
  transactionid: String
  type: String
  updated_at: timestamptz!
}

# aggregated selection of "payments"
type payments_aggregate {
  aggregate: payments_aggregate_fields
  nodes: [payments!]!
}

# aggregate fields of "payments"
type payments_aggregate_fields {
  avg: payments_avg_fields
  count(columns: [payments_select_column!], distinct: Boolean): Int
  max: payments_max_fields
  min: payments_min_fields
  stddev: payments_stddev_fields
  stddev_pop: payments_stddev_pop_fields
  stddev_samp: payments_stddev_samp_fields
  sum: payments_sum_fields
  var_pop: payments_var_pop_fields
  var_samp: payments_var_samp_fields
  variance: payments_variance_fields
}

# order by aggregate values of table "payments"
input payments_aggregate_order_by {
  avg: payments_avg_order_by
  count: order_by
  max: payments_max_order_by
  min: payments_min_order_by
  stddev: payments_stddev_order_by
  stddev_pop: payments_stddev_pop_order_by
  stddev_samp: payments_stddev_samp_order_by
  sum: payments_sum_order_by
  var_pop: payments_var_pop_order_by
  var_samp: payments_var_samp_order_by
  variance: payments_variance_order_by
}

# input type for inserting array relation for remote table "payments"
input payments_arr_rel_insert_input {
  data: [payments_insert_input!]!
  on_conflict: payments_on_conflict
}

# aggregate avg on columns
type payments_avg_fields {
  amount: Float
}

# order by avg() on columns of table "payments"
input payments_avg_order_by {
  amount: order_by
}

# Boolean expression to filter rows from the table "payments". All fields are combined with a logical 'AND'.
input payments_bool_exp {
  _and: [payments_bool_exp]
  _not: payments_bool_exp
  _or: [payments_bool_exp]
  amount: numeric_comparison_exp
  created_at: timestamptz_comparison_exp
  exportedat: timestamptz_comparison_exp
  id: uuid_comparison_exp
  job: jobs_bool_exp
  jobid: uuid_comparison_exp
  memo: String_comparison_exp
  payer: String_comparison_exp
  stripeid: String_comparison_exp
  transactionid: String_comparison_exp
  type: String_comparison_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "payments"
enum payments_constraint {
  # unique or primary key constraint
  payments_pkey
}

# input type for incrementing integer column in table "payments"
input payments_inc_input {
  amount: numeric
}

# input type for inserting data into table "payments"
input payments_insert_input {
  amount: numeric
  created_at: timestamptz
  exportedat: timestamptz
  id: uuid
  job: jobs_obj_rel_insert_input
  jobid: uuid
  memo: String
  payer: String
  stripeid: String
  transactionid: String
  type: String
  updated_at: timestamptz
}

# aggregate max on columns
type payments_max_fields {
  amount: numeric
  created_at: timestamptz
  exportedat: timestamptz
  id: uuid
  jobid: uuid
  memo: String
  payer: String
  stripeid: String
  transactionid: String
  type: String
  updated_at: timestamptz
}

# order by max() on columns of table "payments"
input payments_max_order_by {
  amount: order_by
  created_at: order_by
  exportedat: order_by
  id: order_by
  jobid: order_by
  memo: order_by
  payer: order_by
  stripeid: order_by
  transactionid: order_by
  type: order_by
  updated_at: order_by
}

# aggregate min on columns
type payments_min_fields {
  amount: numeric
  created_at: timestamptz
  exportedat: timestamptz
  id: uuid
  jobid: uuid
  memo: String
  payer: String
  stripeid: String
  transactionid: String
  type: String
  updated_at: timestamptz
}

# order by min() on columns of table "payments"
input payments_min_order_by {
  amount: order_by
  created_at: order_by
  exportedat: order_by
  id: order_by
  jobid: order_by
  memo: order_by
  payer: order_by
  stripeid: order_by
  transactionid: order_by
  type: order_by
  updated_at: order_by
}

# response of any mutation on the table "payments"
type payments_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [payments!]!
}

# input type for inserting object relation for remote table "payments"
input payments_obj_rel_insert_input {
  data: payments_insert_input!
  on_conflict: payments_on_conflict
}

# on conflict condition type for table "payments"
input payments_on_conflict {
  constraint: payments_constraint!
  update_columns: [payments_update_column!]!
  where: payments_bool_exp
}

# ordering options when selecting data from "payments"
input payments_order_by {
  amount: order_by
  created_at: order_by
  exportedat: order_by
  id: order_by
  job: jobs_order_by
  jobid: order_by
  memo: order_by
  payer: order_by
  stripeid: order_by
  transactionid: order_by
  type: order_by
  updated_at: order_by
}

# primary key columns input for table: "payments"
input payments_pk_columns_input {
  id: uuid!
}

# select columns of table "payments"
enum payments_select_column {
  # column name
  amount

  # column name
  created_at

  # column name
  exportedat

  # column name
  id

  # column name
  jobid

  # column name
  memo

  # column name
  payer

  # column name
  stripeid

  # column name
  transactionid

  # column name
  type

  # column name
  updated_at
}

# input type for updating data in table "payments"
input payments_set_input {
  amount: numeric
  created_at: timestamptz
  exportedat: timestamptz
  id: uuid
  jobid: uuid
  memo: String
  payer: String
  stripeid: String
  transactionid: String
  type: String
  updated_at: timestamptz
}

# aggregate stddev on columns
type payments_stddev_fields {
  amount: Float
}

# order by stddev() on columns of table "payments"
input payments_stddev_order_by {
  amount: order_by
}

# aggregate stddev_pop on columns
type payments_stddev_pop_fields {
  amount: Float
}

# order by stddev_pop() on columns of table "payments"
input payments_stddev_pop_order_by {
  amount: order_by
}

# aggregate stddev_samp on columns
type payments_stddev_samp_fields {
  amount: Float
}

# order by stddev_samp() on columns of table "payments"
input payments_stddev_samp_order_by {
  amount: order_by
}

# aggregate sum on columns
type payments_sum_fields {
  amount: numeric
}

# order by sum() on columns of table "payments"
input payments_sum_order_by {
  amount: order_by
}

# update columns of table "payments"
enum payments_update_column {
  # column name
  amount

  # column name
  created_at

  # column name
  exportedat

  # column name
  id

  # column name
  jobid

  # column name
  memo

  # column name
  payer

  # column name
  stripeid

  # column name
  transactionid

  # column name
  type

  # column name
  updated_at
}

# aggregate var_pop on columns
type payments_var_pop_fields {
  amount: Float
}

# order by var_pop() on columns of table "payments"
input payments_var_pop_order_by {
  amount: order_by
}

# aggregate var_samp on columns
type payments_var_samp_fields {
  amount: Float
}

# order by var_samp() on columns of table "payments"
input payments_var_samp_order_by {
  amount: order_by
}

# aggregate variance on columns
type payments_variance_fields {
  amount: Float
}

# order by variance() on columns of table "payments"
input payments_variance_order_by {
  amount: order_by
}

# query root
type query_root {
  # fetch data from the table: "allocations"
  allocations(
    # distinct select on columns
    distinct_on: [allocations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [allocations_order_by!]

    # filter the rows returned
    where: allocations_bool_exp
  ): [allocations!]!

  # fetch aggregated fields from the table: "allocations"
  allocations_aggregate(
    # distinct select on columns
    distinct_on: [allocations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [allocations_order_by!]

    # filter the rows returned
    where: allocations_bool_exp
  ): allocations_aggregate!

  # fetch data from the table: "allocations" using primary key columns
  allocations_by_pk(id: uuid!): allocations

  # fetch data from the table: "appointments"
  appointments(
    # distinct select on columns
    distinct_on: [appointments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [appointments_order_by!]

    # filter the rows returned
    where: appointments_bool_exp
  ): [appointments!]!

  # fetch aggregated fields from the table: "appointments"
  appointments_aggregate(
    # distinct select on columns
    distinct_on: [appointments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [appointments_order_by!]

    # filter the rows returned
    where: appointments_bool_exp
  ): appointments_aggregate!

  # fetch data from the table: "appointments" using primary key columns
  appointments_by_pk(id: uuid!): appointments

  # fetch data from the table: "associations"
  associations(
    # distinct select on columns
    distinct_on: [associations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [associations_order_by!]

    # filter the rows returned
    where: associations_bool_exp
  ): [associations!]!

  # fetch aggregated fields from the table: "associations"
  associations_aggregate(
    # distinct select on columns
    distinct_on: [associations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [associations_order_by!]

    # filter the rows returned
    where: associations_bool_exp
  ): associations_aggregate!

  # fetch data from the table: "associations" using primary key columns
  associations_by_pk(id: uuid!): associations

  # fetch data from the table: "audit_trail"
  audit_trail(
    # distinct select on columns
    distinct_on: [audit_trail_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [audit_trail_order_by!]

    # filter the rows returned
    where: audit_trail_bool_exp
  ): [audit_trail!]!

  # fetch aggregated fields from the table: "audit_trail"
  audit_trail_aggregate(
    # distinct select on columns
    distinct_on: [audit_trail_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [audit_trail_order_by!]

    # filter the rows returned
    where: audit_trail_bool_exp
  ): audit_trail_aggregate!

  # fetch data from the table: "audit_trail" using primary key columns
  audit_trail_by_pk(id: Int!): audit_trail

  # fetch data from the table: "available_jobs"
  available_jobs(
    # distinct select on columns
    distinct_on: [available_jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [available_jobs_order_by!]

    # filter the rows returned
    where: available_jobs_bool_exp
  ): [available_jobs!]!

  # fetch aggregated fields from the table: "available_jobs"
  available_jobs_aggregate(
    # distinct select on columns
    distinct_on: [available_jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [available_jobs_order_by!]

    # filter the rows returned
    where: available_jobs_bool_exp
  ): available_jobs_aggregate!

  # fetch data from the table: "available_jobs" using primary key columns
  available_jobs_by_pk(id: uuid!): available_jobs

  # fetch data from the table: "bodyshops"
  bodyshops(
    # distinct select on columns
    distinct_on: [bodyshops_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [bodyshops_order_by!]

    # filter the rows returned
    where: bodyshops_bool_exp
  ): [bodyshops!]!

  # fetch aggregated fields from the table: "bodyshops"
  bodyshops_aggregate(
    # distinct select on columns
    distinct_on: [bodyshops_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [bodyshops_order_by!]

    # filter the rows returned
    where: bodyshops_bool_exp
  ): bodyshops_aggregate!

  # fetch data from the table: "bodyshops" using primary key columns
  bodyshops_by_pk(id: uuid!): bodyshops

  # fetch data from the table: "cccontracts"
  cccontracts(
    # distinct select on columns
    distinct_on: [cccontracts_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [cccontracts_order_by!]

    # filter the rows returned
    where: cccontracts_bool_exp
  ): [cccontracts!]!

  # fetch aggregated fields from the table: "cccontracts"
  cccontracts_aggregate(
    # distinct select on columns
    distinct_on: [cccontracts_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [cccontracts_order_by!]

    # filter the rows returned
    where: cccontracts_bool_exp
  ): cccontracts_aggregate!

  # fetch data from the table: "cccontracts" using primary key columns
  cccontracts_by_pk(id: uuid!): cccontracts

  # fetch data from the table: "conversations"
  conversations(
    # distinct select on columns
    distinct_on: [conversations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [conversations_order_by!]

    # filter the rows returned
    where: conversations_bool_exp
  ): [conversations!]!

  # fetch aggregated fields from the table: "conversations"
  conversations_aggregate(
    # distinct select on columns
    distinct_on: [conversations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [conversations_order_by!]

    # filter the rows returned
    where: conversations_bool_exp
  ): conversations_aggregate!

  # fetch data from the table: "conversations" using primary key columns
  conversations_by_pk(id: uuid!): conversations

  # fetch data from the table: "counters"
  counters(
    # distinct select on columns
    distinct_on: [counters_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [counters_order_by!]

    # filter the rows returned
    where: counters_bool_exp
  ): [counters!]!

  # fetch aggregated fields from the table: "counters"
  counters_aggregate(
    # distinct select on columns
    distinct_on: [counters_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [counters_order_by!]

    # filter the rows returned
    where: counters_bool_exp
  ): counters_aggregate!

  # fetch data from the table: "counters" using primary key columns
  counters_by_pk(id: uuid!): counters

  # fetch data from the table: "courtesycars"
  courtesycars(
    # distinct select on columns
    distinct_on: [courtesycars_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [courtesycars_order_by!]

    # filter the rows returned
    where: courtesycars_bool_exp
  ): [courtesycars!]!

  # fetch aggregated fields from the table: "courtesycars"
  courtesycars_aggregate(
    # distinct select on columns
    distinct_on: [courtesycars_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [courtesycars_order_by!]

    # filter the rows returned
    where: courtesycars_bool_exp
  ): courtesycars_aggregate!

  # fetch data from the table: "courtesycars" using primary key columns
  courtesycars_by_pk(id: uuid!): courtesycars

  # fetch data from the table: "csi"
  csi(
    # distinct select on columns
    distinct_on: [csi_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csi_order_by!]

    # filter the rows returned
    where: csi_bool_exp
  ): [csi!]!

  # fetch aggregated fields from the table: "csi"
  csi_aggregate(
    # distinct select on columns
    distinct_on: [csi_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csi_order_by!]

    # filter the rows returned
    where: csi_bool_exp
  ): csi_aggregate!

  # fetch data from the table: "csi" using primary key columns
  csi_by_pk(id: uuid!): csi

  # fetch data from the table: "csiquestions"
  csiquestions(
    # distinct select on columns
    distinct_on: [csiquestions_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csiquestions_order_by!]

    # filter the rows returned
    where: csiquestions_bool_exp
  ): [csiquestions!]!

  # fetch aggregated fields from the table: "csiquestions"
  csiquestions_aggregate(
    # distinct select on columns
    distinct_on: [csiquestions_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csiquestions_order_by!]

    # filter the rows returned
    where: csiquestions_bool_exp
  ): csiquestions_aggregate!

  # fetch data from the table: "csiquestions" using primary key columns
  csiquestions_by_pk(id: uuid!): csiquestions

  # fetch data from the table: "documents"
  documents(
    # distinct select on columns
    distinct_on: [documents_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [documents_order_by!]

    # filter the rows returned
    where: documents_bool_exp
  ): [documents!]!

  # fetch aggregated fields from the table: "documents"
  documents_aggregate(
    # distinct select on columns
    distinct_on: [documents_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [documents_order_by!]

    # filter the rows returned
    where: documents_bool_exp
  ): documents_aggregate!

  # fetch data from the table: "documents" using primary key columns
  documents_by_pk(id: uuid!): documents

  # fetch data from the table: "employees"
  employees(
    # distinct select on columns
    distinct_on: [employees_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [employees_order_by!]

    # filter the rows returned
    where: employees_bool_exp
  ): [employees!]!

  # fetch aggregated fields from the table: "employees"
  employees_aggregate(
    # distinct select on columns
    distinct_on: [employees_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [employees_order_by!]

    # filter the rows returned
    where: employees_bool_exp
  ): employees_aggregate!

  # fetch data from the table: "employees" using primary key columns
  employees_by_pk(id: uuid!): employees

  # fetch data from the table: "invoicelines"
  invoicelines(
    # distinct select on columns
    distinct_on: [invoicelines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoicelines_order_by!]

    # filter the rows returned
    where: invoicelines_bool_exp
  ): [invoicelines!]!

  # fetch aggregated fields from the table: "invoicelines"
  invoicelines_aggregate(
    # distinct select on columns
    distinct_on: [invoicelines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoicelines_order_by!]

    # filter the rows returned
    where: invoicelines_bool_exp
  ): invoicelines_aggregate!

  # fetch data from the table: "invoicelines" using primary key columns
  invoicelines_by_pk(id: uuid!): invoicelines

  # fetch data from the table: "invoices"
  invoices(
    # distinct select on columns
    distinct_on: [invoices_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoices_order_by!]

    # filter the rows returned
    where: invoices_bool_exp
  ): [invoices!]!

  # fetch aggregated fields from the table: "invoices"
  invoices_aggregate(
    # distinct select on columns
    distinct_on: [invoices_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoices_order_by!]

    # filter the rows returned
    where: invoices_bool_exp
  ): invoices_aggregate!

  # fetch data from the table: "invoices" using primary key columns
  invoices_by_pk(id: uuid!): invoices

  # fetch data from the table: "job_conversations"
  job_conversations(
    # distinct select on columns
    distinct_on: [job_conversations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [job_conversations_order_by!]

    # filter the rows returned
    where: job_conversations_bool_exp
  ): [job_conversations!]!

  # fetch aggregated fields from the table: "job_conversations"
  job_conversations_aggregate(
    # distinct select on columns
    distinct_on: [job_conversations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [job_conversations_order_by!]

    # filter the rows returned
    where: job_conversations_bool_exp
  ): job_conversations_aggregate!

  # fetch data from the table: "job_conversations" using primary key columns
  job_conversations_by_pk(conversationid: uuid!, jobid: uuid!): job_conversations

  # fetch data from the table: "joblines"
  joblines(
    # distinct select on columns
    distinct_on: [joblines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [joblines_order_by!]

    # filter the rows returned
    where: joblines_bool_exp
  ): [joblines!]!

  # fetch aggregated fields from the table: "joblines"
  joblines_aggregate(
    # distinct select on columns
    distinct_on: [joblines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [joblines_order_by!]

    # filter the rows returned
    where: joblines_bool_exp
  ): joblines_aggregate!

  # fetch data from the table: "joblines" using primary key columns
  joblines_by_pk(id: uuid!): joblines

  # fetch data from the table: "joblines_status"
  joblines_status(
    # distinct select on columns
    distinct_on: [joblines_status_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [joblines_status_order_by!]

    # filter the rows returned
    where: joblines_status_bool_exp
  ): [joblines_status!]!

  # fetch aggregated fields from the table: "joblines_status"
  joblines_status_aggregate(
    # distinct select on columns
    distinct_on: [joblines_status_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [joblines_status_order_by!]

    # filter the rows returned
    where: joblines_status_bool_exp
  ): joblines_status_aggregate!

  # fetch data from the table: "jobs"
  jobs(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): [jobs!]!

  # fetch aggregated fields from the table: "jobs"
  jobs_aggregate(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): jobs_aggregate!

  # fetch data from the table: "jobs" using primary key columns
  jobs_by_pk(id: uuid!): jobs

  # fetch data from the table: "masterdata"
  masterdata(
    # distinct select on columns
    distinct_on: [masterdata_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [masterdata_order_by!]

    # filter the rows returned
    where: masterdata_bool_exp
  ): [masterdata!]!

  # fetch aggregated fields from the table: "masterdata"
  masterdata_aggregate(
    # distinct select on columns
    distinct_on: [masterdata_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [masterdata_order_by!]

    # filter the rows returned
    where: masterdata_bool_exp
  ): masterdata_aggregate!

  # fetch data from the table: "masterdata" using primary key columns
  masterdata_by_pk(key: String!): masterdata

  # fetch data from the table: "messages"
  messages(
    # distinct select on columns
    distinct_on: [messages_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [messages_order_by!]

    # filter the rows returned
    where: messages_bool_exp
  ): [messages!]!

  # fetch aggregated fields from the table: "messages"
  messages_aggregate(
    # distinct select on columns
    distinct_on: [messages_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [messages_order_by!]

    # filter the rows returned
    where: messages_bool_exp
  ): messages_aggregate!

  # fetch data from the table: "messages" using primary key columns
  messages_by_pk(id: uuid!): messages

  # fetch data from the table: "notes"
  notes(
    # distinct select on columns
    distinct_on: [notes_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [notes_order_by!]

    # filter the rows returned
    where: notes_bool_exp
  ): [notes!]!

  # fetch aggregated fields from the table: "notes"
  notes_aggregate(
    # distinct select on columns
    distinct_on: [notes_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [notes_order_by!]

    # filter the rows returned
    where: notes_bool_exp
  ): notes_aggregate!

  # fetch data from the table: "notes" using primary key columns
  notes_by_pk(id: uuid!): notes

  # fetch data from the table: "owners"
  owners(
    # distinct select on columns
    distinct_on: [owners_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [owners_order_by!]

    # filter the rows returned
    where: owners_bool_exp
  ): [owners!]!

  # fetch aggregated fields from the table: "owners"
  owners_aggregate(
    # distinct select on columns
    distinct_on: [owners_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [owners_order_by!]

    # filter the rows returned
    where: owners_bool_exp
  ): owners_aggregate!

  # fetch data from the table: "owners" using primary key columns
  owners_by_pk(id: uuid!): owners

  # fetch data from the table: "parts_order_lines"
  parts_order_lines(
    # distinct select on columns
    distinct_on: [parts_order_lines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_order_lines_order_by!]

    # filter the rows returned
    where: parts_order_lines_bool_exp
  ): [parts_order_lines!]!

  # fetch aggregated fields from the table: "parts_order_lines"
  parts_order_lines_aggregate(
    # distinct select on columns
    distinct_on: [parts_order_lines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_order_lines_order_by!]

    # filter the rows returned
    where: parts_order_lines_bool_exp
  ): parts_order_lines_aggregate!

  # fetch data from the table: "parts_order_lines" using primary key columns
  parts_order_lines_by_pk(id: uuid!): parts_order_lines

  # fetch data from the table: "parts_orders"
  parts_orders(
    # distinct select on columns
    distinct_on: [parts_orders_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_orders_order_by!]

    # filter the rows returned
    where: parts_orders_bool_exp
  ): [parts_orders!]!

  # fetch aggregated fields from the table: "parts_orders"
  parts_orders_aggregate(
    # distinct select on columns
    distinct_on: [parts_orders_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_orders_order_by!]

    # filter the rows returned
    where: parts_orders_bool_exp
  ): parts_orders_aggregate!

  # fetch data from the table: "parts_orders" using primary key columns
  parts_orders_by_pk(id: uuid!): parts_orders

  # fetch data from the table: "payments"
  payments(
    # distinct select on columns
    distinct_on: [payments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [payments_order_by!]

    # filter the rows returned
    where: payments_bool_exp
  ): [payments!]!

  # fetch aggregated fields from the table: "payments"
  payments_aggregate(
    # distinct select on columns
    distinct_on: [payments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [payments_order_by!]

    # filter the rows returned
    where: payments_bool_exp
  ): payments_aggregate!

  # fetch data from the table: "payments" using primary key columns
  payments_by_pk(id: uuid!): payments

  # fetch data from the table: "scoreboard"
  scoreboard(
    # distinct select on columns
    distinct_on: [scoreboard_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [scoreboard_order_by!]

    # filter the rows returned
    where: scoreboard_bool_exp
  ): [scoreboard!]!

  # fetch aggregated fields from the table: "scoreboard"
  scoreboard_aggregate(
    # distinct select on columns
    distinct_on: [scoreboard_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [scoreboard_order_by!]

    # filter the rows returned
    where: scoreboard_bool_exp
  ): scoreboard_aggregate!

  # fetch data from the table: "scoreboard" using primary key columns
  scoreboard_by_pk(id: uuid!): scoreboard

  # execute function "search_invoices" which returns "invoices"
  search_invoices(
    # input parameters for function "search_invoices"
    args: search_invoices_args!

    # distinct select on columns
    distinct_on: [invoices_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoices_order_by!]

    # filter the rows returned
    where: invoices_bool_exp
  ): [invoices!]!

  # execute function "search_invoices" and query aggregates on result of table type "invoices"
  search_invoices_aggregate(
    # input parameters for function "search_invoices"
    args: search_invoices_args!

    # distinct select on columns
    distinct_on: [invoices_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoices_order_by!]

    # filter the rows returned
    where: invoices_bool_exp
  ): invoices_aggregate!

  # execute function "search_jobs" which returns "jobs"
  search_jobs(
    # input parameters for function "search_jobs"
    args: search_jobs_args!

    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): [jobs!]!

  # execute function "search_jobs" and query aggregates on result of table type "jobs"
  search_jobs_aggregate(
    # input parameters for function "search_jobs"
    args: search_jobs_args!

    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): jobs_aggregate!

  # execute function "search_owners" which returns "owners"
  search_owners(
    # input parameters for function "search_owners"
    args: search_owners_args!

    # distinct select on columns
    distinct_on: [owners_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [owners_order_by!]

    # filter the rows returned
    where: owners_bool_exp
  ): [owners!]!

  # execute function "search_owners" and query aggregates on result of table type "owners"
  search_owners_aggregate(
    # input parameters for function "search_owners"
    args: search_owners_args!

    # distinct select on columns
    distinct_on: [owners_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [owners_order_by!]

    # filter the rows returned
    where: owners_bool_exp
  ): owners_aggregate!

  # execute function "search_payments" which returns "payments"
  search_payments(
    # input parameters for function "search_payments"
    args: search_payments_args!

    # distinct select on columns
    distinct_on: [payments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [payments_order_by!]

    # filter the rows returned
    where: payments_bool_exp
  ): [payments!]!

  # execute function "search_payments" and query aggregates on result of table type "payments"
  search_payments_aggregate(
    # input parameters for function "search_payments"
    args: search_payments_args!

    # distinct select on columns
    distinct_on: [payments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [payments_order_by!]

    # filter the rows returned
    where: payments_bool_exp
  ): payments_aggregate!

  # execute function "search_vehicles" which returns "vehicles"
  search_vehicles(
    # input parameters for function "search_vehicles"
    args: search_vehicles_args!

    # distinct select on columns
    distinct_on: [vehicles_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vehicles_order_by!]

    # filter the rows returned
    where: vehicles_bool_exp
  ): [vehicles!]!

  # execute function "search_vehicles" and query aggregates on result of table type "vehicles"
  search_vehicles_aggregate(
    # input parameters for function "search_vehicles"
    args: search_vehicles_args!

    # distinct select on columns
    distinct_on: [vehicles_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vehicles_order_by!]

    # filter the rows returned
    where: vehicles_bool_exp
  ): vehicles_aggregate!

  # fetch data from the table: "templates"
  templates(
    # distinct select on columns
    distinct_on: [templates_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [templates_order_by!]

    # filter the rows returned
    where: templates_bool_exp
  ): [templates!]!

  # fetch aggregated fields from the table: "templates"
  templates_aggregate(
    # distinct select on columns
    distinct_on: [templates_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [templates_order_by!]

    # filter the rows returned
    where: templates_bool_exp
  ): templates_aggregate!

  # fetch data from the table: "templates" using primary key columns
  templates_by_pk(id: uuid!): templates

  # fetch data from the table: "timetickets"
  timetickets(
    # distinct select on columns
    distinct_on: [timetickets_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [timetickets_order_by!]

    # filter the rows returned
    where: timetickets_bool_exp
  ): [timetickets!]!

  # fetch aggregated fields from the table: "timetickets"
  timetickets_aggregate(
    # distinct select on columns
    distinct_on: [timetickets_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [timetickets_order_by!]

    # filter the rows returned
    where: timetickets_bool_exp
  ): timetickets_aggregate!

  # fetch data from the table: "timetickets" using primary key columns
  timetickets_by_pk(id: uuid!): timetickets

  # fetch data from the table: "users"
  users(
    # distinct select on columns
    distinct_on: [users_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [users_order_by!]

    # filter the rows returned
    where: users_bool_exp
  ): [users!]!

  # fetch aggregated fields from the table: "users"
  users_aggregate(
    # distinct select on columns
    distinct_on: [users_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [users_order_by!]

    # filter the rows returned
    where: users_bool_exp
  ): users_aggregate!

  # fetch data from the table: "users" using primary key columns
  users_by_pk(email: String!): users

  # fetch data from the table: "vehicles"
  vehicles(
    # distinct select on columns
    distinct_on: [vehicles_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vehicles_order_by!]

    # filter the rows returned
    where: vehicles_bool_exp
  ): [vehicles!]!

  # fetch aggregated fields from the table: "vehicles"
  vehicles_aggregate(
    # distinct select on columns
    distinct_on: [vehicles_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vehicles_order_by!]

    # filter the rows returned
    where: vehicles_bool_exp
  ): vehicles_aggregate!

  # fetch data from the table: "vehicles" using primary key columns
  vehicles_by_pk(id: uuid!): vehicles

  # fetch data from the table: "vendors"
  vendors(
    # distinct select on columns
    distinct_on: [vendors_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vendors_order_by!]

    # filter the rows returned
    where: vendors_bool_exp
  ): [vendors!]!

  # fetch aggregated fields from the table: "vendors"
  vendors_aggregate(
    # distinct select on columns
    distinct_on: [vendors_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vendors_order_by!]

    # filter the rows returned
    where: vendors_bool_exp
  ): vendors_aggregate!

  # fetch data from the table: "vendors" using primary key columns
  vendors_by_pk(id: uuid!): vendors
}

# columns and relationships of "scoreboard"
type scoreboard {
  bodyhrs: numeric!
  date: date!
  id: uuid!

  # An object relationship
  job: jobs!
  jobid: uuid!
  painthrs: numeric!
}

# aggregated selection of "scoreboard"
type scoreboard_aggregate {
  aggregate: scoreboard_aggregate_fields
  nodes: [scoreboard!]!
}

# aggregate fields of "scoreboard"
type scoreboard_aggregate_fields {
  avg: scoreboard_avg_fields
  count(columns: [scoreboard_select_column!], distinct: Boolean): Int
  max: scoreboard_max_fields
  min: scoreboard_min_fields
  stddev: scoreboard_stddev_fields
  stddev_pop: scoreboard_stddev_pop_fields
  stddev_samp: scoreboard_stddev_samp_fields
  sum: scoreboard_sum_fields
  var_pop: scoreboard_var_pop_fields
  var_samp: scoreboard_var_samp_fields
  variance: scoreboard_variance_fields
}

# order by aggregate values of table "scoreboard"
input scoreboard_aggregate_order_by {
  avg: scoreboard_avg_order_by
  count: order_by
  max: scoreboard_max_order_by
  min: scoreboard_min_order_by
  stddev: scoreboard_stddev_order_by
  stddev_pop: scoreboard_stddev_pop_order_by
  stddev_samp: scoreboard_stddev_samp_order_by
  sum: scoreboard_sum_order_by
  var_pop: scoreboard_var_pop_order_by
  var_samp: scoreboard_var_samp_order_by
  variance: scoreboard_variance_order_by
}

# input type for inserting array relation for remote table "scoreboard"
input scoreboard_arr_rel_insert_input {
  data: [scoreboard_insert_input!]!
  on_conflict: scoreboard_on_conflict
}

# aggregate avg on columns
type scoreboard_avg_fields {
  bodyhrs: Float
  painthrs: Float
}

# order by avg() on columns of table "scoreboard"
input scoreboard_avg_order_by {
  bodyhrs: order_by
  painthrs: order_by
}

# Boolean expression to filter rows from the table "scoreboard". All fields are combined with a logical 'AND'.
input scoreboard_bool_exp {
  _and: [scoreboard_bool_exp]
  _not: scoreboard_bool_exp
  _or: [scoreboard_bool_exp]
  bodyhrs: numeric_comparison_exp
  date: date_comparison_exp
  id: uuid_comparison_exp
  job: jobs_bool_exp
  jobid: uuid_comparison_exp
  painthrs: numeric_comparison_exp
}

# unique or primary key constraints on table "scoreboard"
enum scoreboard_constraint {
  # unique or primary key constraint
  scoreboard_pkey
}

# input type for incrementing integer column in table "scoreboard"
input scoreboard_inc_input {
  bodyhrs: numeric
  painthrs: numeric
}

# input type for inserting data into table "scoreboard"
input scoreboard_insert_input {
  bodyhrs: numeric
  date: date
  id: uuid
  job: jobs_obj_rel_insert_input
  jobid: uuid
  painthrs: numeric
}

# aggregate max on columns
type scoreboard_max_fields {
  bodyhrs: numeric
  date: date
  id: uuid
  jobid: uuid
  painthrs: numeric
}

# order by max() on columns of table "scoreboard"
input scoreboard_max_order_by {
  bodyhrs: order_by
  date: order_by
  id: order_by
  jobid: order_by
  painthrs: order_by
}

# aggregate min on columns
type scoreboard_min_fields {
  bodyhrs: numeric
  date: date
  id: uuid
  jobid: uuid
  painthrs: numeric
}

# order by min() on columns of table "scoreboard"
input scoreboard_min_order_by {
  bodyhrs: order_by
  date: order_by
  id: order_by
  jobid: order_by
  painthrs: order_by
}

# response of any mutation on the table "scoreboard"
type scoreboard_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [scoreboard!]!
}

# input type for inserting object relation for remote table "scoreboard"
input scoreboard_obj_rel_insert_input {
  data: scoreboard_insert_input!
  on_conflict: scoreboard_on_conflict
}

# on conflict condition type for table "scoreboard"
input scoreboard_on_conflict {
  constraint: scoreboard_constraint!
  update_columns: [scoreboard_update_column!]!
  where: scoreboard_bool_exp
}

# ordering options when selecting data from "scoreboard"
input scoreboard_order_by {
  bodyhrs: order_by
  date: order_by
  id: order_by
  job: jobs_order_by
  jobid: order_by
  painthrs: order_by
}

# primary key columns input for table: "scoreboard"
input scoreboard_pk_columns_input {
  id: uuid!
}

# select columns of table "scoreboard"
enum scoreboard_select_column {
  # column name
  bodyhrs

  # column name
  date

  # column name
  id

  # column name
  jobid

  # column name
  painthrs
}

# input type for updating data in table "scoreboard"
input scoreboard_set_input {
  bodyhrs: numeric
  date: date
  id: uuid
  jobid: uuid
  painthrs: numeric
}

# aggregate stddev on columns
type scoreboard_stddev_fields {
  bodyhrs: Float
  painthrs: Float
}

# order by stddev() on columns of table "scoreboard"
input scoreboard_stddev_order_by {
  bodyhrs: order_by
  painthrs: order_by
}

# aggregate stddev_pop on columns
type scoreboard_stddev_pop_fields {
  bodyhrs: Float
  painthrs: Float
}

# order by stddev_pop() on columns of table "scoreboard"
input scoreboard_stddev_pop_order_by {
  bodyhrs: order_by
  painthrs: order_by
}

# aggregate stddev_samp on columns
type scoreboard_stddev_samp_fields {
  bodyhrs: Float
  painthrs: Float
}

# order by stddev_samp() on columns of table "scoreboard"
input scoreboard_stddev_samp_order_by {
  bodyhrs: order_by
  painthrs: order_by
}

# aggregate sum on columns
type scoreboard_sum_fields {
  bodyhrs: numeric
  painthrs: numeric
}

# order by sum() on columns of table "scoreboard"
input scoreboard_sum_order_by {
  bodyhrs: order_by
  painthrs: order_by
}

# update columns of table "scoreboard"
enum scoreboard_update_column {
  # column name
  bodyhrs

  # column name
  date

  # column name
  id

  # column name
  jobid

  # column name
  painthrs
}

# aggregate var_pop on columns
type scoreboard_var_pop_fields {
  bodyhrs: Float
  painthrs: Float
}

# order by var_pop() on columns of table "scoreboard"
input scoreboard_var_pop_order_by {
  bodyhrs: order_by
  painthrs: order_by
}

# aggregate var_samp on columns
type scoreboard_var_samp_fields {
  bodyhrs: Float
  painthrs: Float
}

# order by var_samp() on columns of table "scoreboard"
input scoreboard_var_samp_order_by {
  bodyhrs: order_by
  painthrs: order_by
}

# aggregate variance on columns
type scoreboard_variance_fields {
  bodyhrs: Float
  painthrs: Float
}

# order by variance() on columns of table "scoreboard"
input scoreboard_variance_order_by {
  bodyhrs: order_by
  painthrs: order_by
}

input search_invoices_args {
  search: String
}

input search_jobs_args {
  search: String
}

input search_owners_args {
  search: String
}

input search_payments_args {
  search: String
}

input search_vehicles_args {
  search: String
}

# expression to compare columns of type String. All fields are combined with logical 'AND'.
input String_comparison_exp {
  _eq: String
  _gt: String
  _gte: String
  _ilike: String
  _in: [String!]
  _is_null: Boolean
  _like: String
  _lt: String
  _lte: String
  _neq: String
  _nilike: String
  _nin: [String!]
  _nlike: String
  _nsimilar: String
  _similar: String
}

# subscription root
type subscription_root {
  # fetch data from the table: "allocations"
  allocations(
    # distinct select on columns
    distinct_on: [allocations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [allocations_order_by!]

    # filter the rows returned
    where: allocations_bool_exp
  ): [allocations!]!

  # fetch aggregated fields from the table: "allocations"
  allocations_aggregate(
    # distinct select on columns
    distinct_on: [allocations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [allocations_order_by!]

    # filter the rows returned
    where: allocations_bool_exp
  ): allocations_aggregate!

  # fetch data from the table: "allocations" using primary key columns
  allocations_by_pk(id: uuid!): allocations

  # fetch data from the table: "appointments"
  appointments(
    # distinct select on columns
    distinct_on: [appointments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [appointments_order_by!]

    # filter the rows returned
    where: appointments_bool_exp
  ): [appointments!]!

  # fetch aggregated fields from the table: "appointments"
  appointments_aggregate(
    # distinct select on columns
    distinct_on: [appointments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [appointments_order_by!]

    # filter the rows returned
    where: appointments_bool_exp
  ): appointments_aggregate!

  # fetch data from the table: "appointments" using primary key columns
  appointments_by_pk(id: uuid!): appointments

  # fetch data from the table: "associations"
  associations(
    # distinct select on columns
    distinct_on: [associations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [associations_order_by!]

    # filter the rows returned
    where: associations_bool_exp
  ): [associations!]!

  # fetch aggregated fields from the table: "associations"
  associations_aggregate(
    # distinct select on columns
    distinct_on: [associations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [associations_order_by!]

    # filter the rows returned
    where: associations_bool_exp
  ): associations_aggregate!

  # fetch data from the table: "associations" using primary key columns
  associations_by_pk(id: uuid!): associations

  # fetch data from the table: "audit_trail"
  audit_trail(
    # distinct select on columns
    distinct_on: [audit_trail_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [audit_trail_order_by!]

    # filter the rows returned
    where: audit_trail_bool_exp
  ): [audit_trail!]!

  # fetch aggregated fields from the table: "audit_trail"
  audit_trail_aggregate(
    # distinct select on columns
    distinct_on: [audit_trail_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [audit_trail_order_by!]

    # filter the rows returned
    where: audit_trail_bool_exp
  ): audit_trail_aggregate!

  # fetch data from the table: "audit_trail" using primary key columns
  audit_trail_by_pk(id: Int!): audit_trail

  # fetch data from the table: "available_jobs"
  available_jobs(
    # distinct select on columns
    distinct_on: [available_jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [available_jobs_order_by!]

    # filter the rows returned
    where: available_jobs_bool_exp
  ): [available_jobs!]!

  # fetch aggregated fields from the table: "available_jobs"
  available_jobs_aggregate(
    # distinct select on columns
    distinct_on: [available_jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [available_jobs_order_by!]

    # filter the rows returned
    where: available_jobs_bool_exp
  ): available_jobs_aggregate!

  # fetch data from the table: "available_jobs" using primary key columns
  available_jobs_by_pk(id: uuid!): available_jobs

  # fetch data from the table: "bodyshops"
  bodyshops(
    # distinct select on columns
    distinct_on: [bodyshops_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [bodyshops_order_by!]

    # filter the rows returned
    where: bodyshops_bool_exp
  ): [bodyshops!]!

  # fetch aggregated fields from the table: "bodyshops"
  bodyshops_aggregate(
    # distinct select on columns
    distinct_on: [bodyshops_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [bodyshops_order_by!]

    # filter the rows returned
    where: bodyshops_bool_exp
  ): bodyshops_aggregate!

  # fetch data from the table: "bodyshops" using primary key columns
  bodyshops_by_pk(id: uuid!): bodyshops

  # fetch data from the table: "cccontracts"
  cccontracts(
    # distinct select on columns
    distinct_on: [cccontracts_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [cccontracts_order_by!]

    # filter the rows returned
    where: cccontracts_bool_exp
  ): [cccontracts!]!

  # fetch aggregated fields from the table: "cccontracts"
  cccontracts_aggregate(
    # distinct select on columns
    distinct_on: [cccontracts_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [cccontracts_order_by!]

    # filter the rows returned
    where: cccontracts_bool_exp
  ): cccontracts_aggregate!

  # fetch data from the table: "cccontracts" using primary key columns
  cccontracts_by_pk(id: uuid!): cccontracts

  # fetch data from the table: "conversations"
  conversations(
    # distinct select on columns
    distinct_on: [conversations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [conversations_order_by!]

    # filter the rows returned
    where: conversations_bool_exp
  ): [conversations!]!

  # fetch aggregated fields from the table: "conversations"
  conversations_aggregate(
    # distinct select on columns
    distinct_on: [conversations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [conversations_order_by!]

    # filter the rows returned
    where: conversations_bool_exp
  ): conversations_aggregate!

  # fetch data from the table: "conversations" using primary key columns
  conversations_by_pk(id: uuid!): conversations

  # fetch data from the table: "counters"
  counters(
    # distinct select on columns
    distinct_on: [counters_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [counters_order_by!]

    # filter the rows returned
    where: counters_bool_exp
  ): [counters!]!

  # fetch aggregated fields from the table: "counters"
  counters_aggregate(
    # distinct select on columns
    distinct_on: [counters_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [counters_order_by!]

    # filter the rows returned
    where: counters_bool_exp
  ): counters_aggregate!

  # fetch data from the table: "counters" using primary key columns
  counters_by_pk(id: uuid!): counters

  # fetch data from the table: "courtesycars"
  courtesycars(
    # distinct select on columns
    distinct_on: [courtesycars_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [courtesycars_order_by!]

    # filter the rows returned
    where: courtesycars_bool_exp
  ): [courtesycars!]!

  # fetch aggregated fields from the table: "courtesycars"
  courtesycars_aggregate(
    # distinct select on columns
    distinct_on: [courtesycars_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [courtesycars_order_by!]

    # filter the rows returned
    where: courtesycars_bool_exp
  ): courtesycars_aggregate!

  # fetch data from the table: "courtesycars" using primary key columns
  courtesycars_by_pk(id: uuid!): courtesycars

  # fetch data from the table: "csi"
  csi(
    # distinct select on columns
    distinct_on: [csi_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csi_order_by!]

    # filter the rows returned
    where: csi_bool_exp
  ): [csi!]!

  # fetch aggregated fields from the table: "csi"
  csi_aggregate(
    # distinct select on columns
    distinct_on: [csi_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csi_order_by!]

    # filter the rows returned
    where: csi_bool_exp
  ): csi_aggregate!

  # fetch data from the table: "csi" using primary key columns
  csi_by_pk(id: uuid!): csi

  # fetch data from the table: "csiquestions"
  csiquestions(
    # distinct select on columns
    distinct_on: [csiquestions_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csiquestions_order_by!]

    # filter the rows returned
    where: csiquestions_bool_exp
  ): [csiquestions!]!

  # fetch aggregated fields from the table: "csiquestions"
  csiquestions_aggregate(
    # distinct select on columns
    distinct_on: [csiquestions_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [csiquestions_order_by!]

    # filter the rows returned
    where: csiquestions_bool_exp
  ): csiquestions_aggregate!

  # fetch data from the table: "csiquestions" using primary key columns
  csiquestions_by_pk(id: uuid!): csiquestions

  # fetch data from the table: "documents"
  documents(
    # distinct select on columns
    distinct_on: [documents_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [documents_order_by!]

    # filter the rows returned
    where: documents_bool_exp
  ): [documents!]!

  # fetch aggregated fields from the table: "documents"
  documents_aggregate(
    # distinct select on columns
    distinct_on: [documents_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [documents_order_by!]

    # filter the rows returned
    where: documents_bool_exp
  ): documents_aggregate!

  # fetch data from the table: "documents" using primary key columns
  documents_by_pk(id: uuid!): documents

  # fetch data from the table: "employees"
  employees(
    # distinct select on columns
    distinct_on: [employees_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [employees_order_by!]

    # filter the rows returned
    where: employees_bool_exp
  ): [employees!]!

  # fetch aggregated fields from the table: "employees"
  employees_aggregate(
    # distinct select on columns
    distinct_on: [employees_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [employees_order_by!]

    # filter the rows returned
    where: employees_bool_exp
  ): employees_aggregate!

  # fetch data from the table: "employees" using primary key columns
  employees_by_pk(id: uuid!): employees

  # fetch data from the table: "invoicelines"
  invoicelines(
    # distinct select on columns
    distinct_on: [invoicelines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoicelines_order_by!]

    # filter the rows returned
    where: invoicelines_bool_exp
  ): [invoicelines!]!

  # fetch aggregated fields from the table: "invoicelines"
  invoicelines_aggregate(
    # distinct select on columns
    distinct_on: [invoicelines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoicelines_order_by!]

    # filter the rows returned
    where: invoicelines_bool_exp
  ): invoicelines_aggregate!

  # fetch data from the table: "invoicelines" using primary key columns
  invoicelines_by_pk(id: uuid!): invoicelines

  # fetch data from the table: "invoices"
  invoices(
    # distinct select on columns
    distinct_on: [invoices_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoices_order_by!]

    # filter the rows returned
    where: invoices_bool_exp
  ): [invoices!]!

  # fetch aggregated fields from the table: "invoices"
  invoices_aggregate(
    # distinct select on columns
    distinct_on: [invoices_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoices_order_by!]

    # filter the rows returned
    where: invoices_bool_exp
  ): invoices_aggregate!

  # fetch data from the table: "invoices" using primary key columns
  invoices_by_pk(id: uuid!): invoices

  # fetch data from the table: "job_conversations"
  job_conversations(
    # distinct select on columns
    distinct_on: [job_conversations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [job_conversations_order_by!]

    # filter the rows returned
    where: job_conversations_bool_exp
  ): [job_conversations!]!

  # fetch aggregated fields from the table: "job_conversations"
  job_conversations_aggregate(
    # distinct select on columns
    distinct_on: [job_conversations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [job_conversations_order_by!]

    # filter the rows returned
    where: job_conversations_bool_exp
  ): job_conversations_aggregate!

  # fetch data from the table: "job_conversations" using primary key columns
  job_conversations_by_pk(conversationid: uuid!, jobid: uuid!): job_conversations

  # fetch data from the table: "joblines"
  joblines(
    # distinct select on columns
    distinct_on: [joblines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [joblines_order_by!]

    # filter the rows returned
    where: joblines_bool_exp
  ): [joblines!]!

  # fetch aggregated fields from the table: "joblines"
  joblines_aggregate(
    # distinct select on columns
    distinct_on: [joblines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [joblines_order_by!]

    # filter the rows returned
    where: joblines_bool_exp
  ): joblines_aggregate!

  # fetch data from the table: "joblines" using primary key columns
  joblines_by_pk(id: uuid!): joblines

  # fetch data from the table: "joblines_status"
  joblines_status(
    # distinct select on columns
    distinct_on: [joblines_status_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [joblines_status_order_by!]

    # filter the rows returned
    where: joblines_status_bool_exp
  ): [joblines_status!]!

  # fetch aggregated fields from the table: "joblines_status"
  joblines_status_aggregate(
    # distinct select on columns
    distinct_on: [joblines_status_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [joblines_status_order_by!]

    # filter the rows returned
    where: joblines_status_bool_exp
  ): joblines_status_aggregate!

  # fetch data from the table: "jobs"
  jobs(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): [jobs!]!

  # fetch aggregated fields from the table: "jobs"
  jobs_aggregate(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): jobs_aggregate!

  # fetch data from the table: "jobs" using primary key columns
  jobs_by_pk(id: uuid!): jobs

  # fetch data from the table: "masterdata"
  masterdata(
    # distinct select on columns
    distinct_on: [masterdata_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [masterdata_order_by!]

    # filter the rows returned
    where: masterdata_bool_exp
  ): [masterdata!]!

  # fetch aggregated fields from the table: "masterdata"
  masterdata_aggregate(
    # distinct select on columns
    distinct_on: [masterdata_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [masterdata_order_by!]

    # filter the rows returned
    where: masterdata_bool_exp
  ): masterdata_aggregate!

  # fetch data from the table: "masterdata" using primary key columns
  masterdata_by_pk(key: String!): masterdata

  # fetch data from the table: "messages"
  messages(
    # distinct select on columns
    distinct_on: [messages_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [messages_order_by!]

    # filter the rows returned
    where: messages_bool_exp
  ): [messages!]!

  # fetch aggregated fields from the table: "messages"
  messages_aggregate(
    # distinct select on columns
    distinct_on: [messages_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [messages_order_by!]

    # filter the rows returned
    where: messages_bool_exp
  ): messages_aggregate!

  # fetch data from the table: "messages" using primary key columns
  messages_by_pk(id: uuid!): messages

  # fetch data from the table: "notes"
  notes(
    # distinct select on columns
    distinct_on: [notes_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [notes_order_by!]

    # filter the rows returned
    where: notes_bool_exp
  ): [notes!]!

  # fetch aggregated fields from the table: "notes"
  notes_aggregate(
    # distinct select on columns
    distinct_on: [notes_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [notes_order_by!]

    # filter the rows returned
    where: notes_bool_exp
  ): notes_aggregate!

  # fetch data from the table: "notes" using primary key columns
  notes_by_pk(id: uuid!): notes

  # fetch data from the table: "owners"
  owners(
    # distinct select on columns
    distinct_on: [owners_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [owners_order_by!]

    # filter the rows returned
    where: owners_bool_exp
  ): [owners!]!

  # fetch aggregated fields from the table: "owners"
  owners_aggregate(
    # distinct select on columns
    distinct_on: [owners_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [owners_order_by!]

    # filter the rows returned
    where: owners_bool_exp
  ): owners_aggregate!

  # fetch data from the table: "owners" using primary key columns
  owners_by_pk(id: uuid!): owners

  # fetch data from the table: "parts_order_lines"
  parts_order_lines(
    # distinct select on columns
    distinct_on: [parts_order_lines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_order_lines_order_by!]

    # filter the rows returned
    where: parts_order_lines_bool_exp
  ): [parts_order_lines!]!

  # fetch aggregated fields from the table: "parts_order_lines"
  parts_order_lines_aggregate(
    # distinct select on columns
    distinct_on: [parts_order_lines_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_order_lines_order_by!]

    # filter the rows returned
    where: parts_order_lines_bool_exp
  ): parts_order_lines_aggregate!

  # fetch data from the table: "parts_order_lines" using primary key columns
  parts_order_lines_by_pk(id: uuid!): parts_order_lines

  # fetch data from the table: "parts_orders"
  parts_orders(
    # distinct select on columns
    distinct_on: [parts_orders_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_orders_order_by!]

    # filter the rows returned
    where: parts_orders_bool_exp
  ): [parts_orders!]!

  # fetch aggregated fields from the table: "parts_orders"
  parts_orders_aggregate(
    # distinct select on columns
    distinct_on: [parts_orders_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_orders_order_by!]

    # filter the rows returned
    where: parts_orders_bool_exp
  ): parts_orders_aggregate!

  # fetch data from the table: "parts_orders" using primary key columns
  parts_orders_by_pk(id: uuid!): parts_orders

  # fetch data from the table: "payments"
  payments(
    # distinct select on columns
    distinct_on: [payments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [payments_order_by!]

    # filter the rows returned
    where: payments_bool_exp
  ): [payments!]!

  # fetch aggregated fields from the table: "payments"
  payments_aggregate(
    # distinct select on columns
    distinct_on: [payments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [payments_order_by!]

    # filter the rows returned
    where: payments_bool_exp
  ): payments_aggregate!

  # fetch data from the table: "payments" using primary key columns
  payments_by_pk(id: uuid!): payments

  # fetch data from the table: "scoreboard"
  scoreboard(
    # distinct select on columns
    distinct_on: [scoreboard_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [scoreboard_order_by!]

    # filter the rows returned
    where: scoreboard_bool_exp
  ): [scoreboard!]!

  # fetch aggregated fields from the table: "scoreboard"
  scoreboard_aggregate(
    # distinct select on columns
    distinct_on: [scoreboard_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [scoreboard_order_by!]

    # filter the rows returned
    where: scoreboard_bool_exp
  ): scoreboard_aggregate!

  # fetch data from the table: "scoreboard" using primary key columns
  scoreboard_by_pk(id: uuid!): scoreboard

  # execute function "search_invoices" which returns "invoices"
  search_invoices(
    # input parameters for function "search_invoices"
    args: search_invoices_args!

    # distinct select on columns
    distinct_on: [invoices_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoices_order_by!]

    # filter the rows returned
    where: invoices_bool_exp
  ): [invoices!]!

  # execute function "search_invoices" and query aggregates on result of table type "invoices"
  search_invoices_aggregate(
    # input parameters for function "search_invoices"
    args: search_invoices_args!

    # distinct select on columns
    distinct_on: [invoices_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoices_order_by!]

    # filter the rows returned
    where: invoices_bool_exp
  ): invoices_aggregate!

  # execute function "search_jobs" which returns "jobs"
  search_jobs(
    # input parameters for function "search_jobs"
    args: search_jobs_args!

    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): [jobs!]!

  # execute function "search_jobs" and query aggregates on result of table type "jobs"
  search_jobs_aggregate(
    # input parameters for function "search_jobs"
    args: search_jobs_args!

    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): jobs_aggregate!

  # execute function "search_owners" which returns "owners"
  search_owners(
    # input parameters for function "search_owners"
    args: search_owners_args!

    # distinct select on columns
    distinct_on: [owners_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [owners_order_by!]

    # filter the rows returned
    where: owners_bool_exp
  ): [owners!]!

  # execute function "search_owners" and query aggregates on result of table type "owners"
  search_owners_aggregate(
    # input parameters for function "search_owners"
    args: search_owners_args!

    # distinct select on columns
    distinct_on: [owners_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [owners_order_by!]

    # filter the rows returned
    where: owners_bool_exp
  ): owners_aggregate!

  # execute function "search_payments" which returns "payments"
  search_payments(
    # input parameters for function "search_payments"
    args: search_payments_args!

    # distinct select on columns
    distinct_on: [payments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [payments_order_by!]

    # filter the rows returned
    where: payments_bool_exp
  ): [payments!]!

  # execute function "search_payments" and query aggregates on result of table type "payments"
  search_payments_aggregate(
    # input parameters for function "search_payments"
    args: search_payments_args!

    # distinct select on columns
    distinct_on: [payments_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [payments_order_by!]

    # filter the rows returned
    where: payments_bool_exp
  ): payments_aggregate!

  # execute function "search_vehicles" which returns "vehicles"
  search_vehicles(
    # input parameters for function "search_vehicles"
    args: search_vehicles_args!

    # distinct select on columns
    distinct_on: [vehicles_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vehicles_order_by!]

    # filter the rows returned
    where: vehicles_bool_exp
  ): [vehicles!]!

  # execute function "search_vehicles" and query aggregates on result of table type "vehicles"
  search_vehicles_aggregate(
    # input parameters for function "search_vehicles"
    args: search_vehicles_args!

    # distinct select on columns
    distinct_on: [vehicles_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vehicles_order_by!]

    # filter the rows returned
    where: vehicles_bool_exp
  ): vehicles_aggregate!

  # fetch data from the table: "templates"
  templates(
    # distinct select on columns
    distinct_on: [templates_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [templates_order_by!]

    # filter the rows returned
    where: templates_bool_exp
  ): [templates!]!

  # fetch aggregated fields from the table: "templates"
  templates_aggregate(
    # distinct select on columns
    distinct_on: [templates_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [templates_order_by!]

    # filter the rows returned
    where: templates_bool_exp
  ): templates_aggregate!

  # fetch data from the table: "templates" using primary key columns
  templates_by_pk(id: uuid!): templates

  # fetch data from the table: "timetickets"
  timetickets(
    # distinct select on columns
    distinct_on: [timetickets_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [timetickets_order_by!]

    # filter the rows returned
    where: timetickets_bool_exp
  ): [timetickets!]!

  # fetch aggregated fields from the table: "timetickets"
  timetickets_aggregate(
    # distinct select on columns
    distinct_on: [timetickets_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [timetickets_order_by!]

    # filter the rows returned
    where: timetickets_bool_exp
  ): timetickets_aggregate!

  # fetch data from the table: "timetickets" using primary key columns
  timetickets_by_pk(id: uuid!): timetickets

  # fetch data from the table: "users"
  users(
    # distinct select on columns
    distinct_on: [users_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [users_order_by!]

    # filter the rows returned
    where: users_bool_exp
  ): [users!]!

  # fetch aggregated fields from the table: "users"
  users_aggregate(
    # distinct select on columns
    distinct_on: [users_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [users_order_by!]

    # filter the rows returned
    where: users_bool_exp
  ): users_aggregate!

  # fetch data from the table: "users" using primary key columns
  users_by_pk(email: String!): users

  # fetch data from the table: "vehicles"
  vehicles(
    # distinct select on columns
    distinct_on: [vehicles_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vehicles_order_by!]

    # filter the rows returned
    where: vehicles_bool_exp
  ): [vehicles!]!

  # fetch aggregated fields from the table: "vehicles"
  vehicles_aggregate(
    # distinct select on columns
    distinct_on: [vehicles_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vehicles_order_by!]

    # filter the rows returned
    where: vehicles_bool_exp
  ): vehicles_aggregate!

  # fetch data from the table: "vehicles" using primary key columns
  vehicles_by_pk(id: uuid!): vehicles

  # fetch data from the table: "vendors"
  vendors(
    # distinct select on columns
    distinct_on: [vendors_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vendors_order_by!]

    # filter the rows returned
    where: vendors_bool_exp
  ): [vendors!]!

  # fetch aggregated fields from the table: "vendors"
  vendors_aggregate(
    # distinct select on columns
    distinct_on: [vendors_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [vendors_order_by!]

    # filter the rows returned
    where: vendors_bool_exp
  ): vendors_aggregate!

  # fetch data from the table: "vendors" using primary key columns
  vendors_by_pk(id: uuid!): vendors
}

# columns and relationships of "templates"
type templates {
  # An object relationship
  bodyshop: bodyshops
  bodyshopid: uuid
  created_at: timestamptz!
  html: String!
  id: uuid!
  jsontemplate(
    # JSON select path
    path: String
  ): jsonb
  name: String!
  query: String!
  updated_at: timestamptz!
}

# aggregated selection of "templates"
type templates_aggregate {
  aggregate: templates_aggregate_fields
  nodes: [templates!]!
}

# aggregate fields of "templates"
type templates_aggregate_fields {
  count(columns: [templates_select_column!], distinct: Boolean): Int
  max: templates_max_fields
  min: templates_min_fields
}

# order by aggregate values of table "templates"
input templates_aggregate_order_by {
  count: order_by
  max: templates_max_order_by
  min: templates_min_order_by
}

# append existing jsonb value of filtered columns with new jsonb value
input templates_append_input {
  jsontemplate: jsonb
}

# input type for inserting array relation for remote table "templates"
input templates_arr_rel_insert_input {
  data: [templates_insert_input!]!
  on_conflict: templates_on_conflict
}

# Boolean expression to filter rows from the table "templates". All fields are combined with a logical 'AND'.
input templates_bool_exp {
  _and: [templates_bool_exp]
  _not: templates_bool_exp
  _or: [templates_bool_exp]
  bodyshop: bodyshops_bool_exp
  bodyshopid: uuid_comparison_exp
  created_at: timestamptz_comparison_exp
  html: String_comparison_exp
  id: uuid_comparison_exp
  jsontemplate: jsonb_comparison_exp
  name: String_comparison_exp
  query: String_comparison_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "templates"
enum templates_constraint {
  # unique or primary key constraint
  templates_pkey
}

# delete the field or element with specified path (for JSON arrays, negative integers count from the end)
input templates_delete_at_path_input {
  jsontemplate: [String]
}

# delete the array element with specified index (negative integers count from the
# end). throws an error if top level container is not an array
input templates_delete_elem_input {
  jsontemplate: Int
}

# delete key/value pair or string element. key/value pairs are matched based on their key value
input templates_delete_key_input {
  jsontemplate: String
}

# input type for inserting data into table "templates"
input templates_insert_input {
  bodyshop: bodyshops_obj_rel_insert_input
  bodyshopid: uuid
  created_at: timestamptz
  html: String
  id: uuid
  jsontemplate: jsonb
  name: String
  query: String
  updated_at: timestamptz
}

# aggregate max on columns
type templates_max_fields {
  bodyshopid: uuid
  created_at: timestamptz
  html: String
  id: uuid
  name: String
  query: String
  updated_at: timestamptz
}

# order by max() on columns of table "templates"
input templates_max_order_by {
  bodyshopid: order_by
  created_at: order_by
  html: order_by
  id: order_by
  name: order_by
  query: order_by
  updated_at: order_by
}

# aggregate min on columns
type templates_min_fields {
  bodyshopid: uuid
  created_at: timestamptz
  html: String
  id: uuid
  name: String
  query: String
  updated_at: timestamptz
}

# order by min() on columns of table "templates"
input templates_min_order_by {
  bodyshopid: order_by
  created_at: order_by
  html: order_by
  id: order_by
  name: order_by
  query: order_by
  updated_at: order_by
}

# response of any mutation on the table "templates"
type templates_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [templates!]!
}

# input type for inserting object relation for remote table "templates"
input templates_obj_rel_insert_input {
  data: templates_insert_input!
  on_conflict: templates_on_conflict
}

# on conflict condition type for table "templates"
input templates_on_conflict {
  constraint: templates_constraint!
  update_columns: [templates_update_column!]!
  where: templates_bool_exp
}

# ordering options when selecting data from "templates"
input templates_order_by {
  bodyshop: bodyshops_order_by
  bodyshopid: order_by
  created_at: order_by
  html: order_by
  id: order_by
  jsontemplate: order_by
  name: order_by
  query: order_by
  updated_at: order_by
}

# primary key columns input for table: "templates"
input templates_pk_columns_input {
  id: uuid!
}

# prepend existing jsonb value of filtered columns with new jsonb value
input templates_prepend_input {
  jsontemplate: jsonb
}

# select columns of table "templates"
enum templates_select_column {
  # column name
  bodyshopid

  # column name
  created_at

  # column name
  html

  # column name
  id

  # column name
  jsontemplate

  # column name
  name

  # column name
  query

  # column name
  updated_at
}

# input type for updating data in table "templates"
input templates_set_input {
  bodyshopid: uuid
  created_at: timestamptz
  html: String
  id: uuid
  jsontemplate: jsonb
  name: String
  query: String
  updated_at: timestamptz
}

# update columns of table "templates"
enum templates_update_column {
  # column name
  bodyshopid

  # column name
  created_at

  # column name
  html

  # column name
  id

  # column name
  jsontemplate

  # column name
  name

  # column name
  query

  # column name
  updated_at
}

scalar timestamp

# expression to compare columns of type timestamp. All fields are combined with logical 'AND'.
input timestamp_comparison_exp {
  _eq: timestamp
  _gt: timestamp
  _gte: timestamp
  _in: [timestamp!]
  _is_null: Boolean
  _lt: timestamp
  _lte: timestamp
  _neq: timestamp
  _nin: [timestamp!]
}

scalar timestamptz

# expression to compare columns of type timestamptz. All fields are combined with logical 'AND'.
input timestamptz_comparison_exp {
  _eq: timestamptz
  _gt: timestamptz
  _gte: timestamptz
  _in: [timestamptz!]
  _is_null: Boolean
  _lt: timestamptz
  _lte: timestamptz
  _neq: timestamptz
  _nin: [timestamptz!]
}

# columns and relationships of "timetickets"
type timetickets {
  actualhrs: numeric!

  # An object relationship
  bodyshop: bodyshops!
  bodyshopid: uuid!
  ciecacode: String
  clockoff: timestamptz
  clockon: timestamptz
  cost_center: String!
  created_at: timestamptz!
  date: date!

  # An object relationship
  employee: employees!
  employeeid: uuid!
  id: uuid!

  # An object relationship
  job: jobs
  jobid: uuid
  memo: String
  productivehrs: numeric!
  rate: numeric!
  updated_at: timestamptz!
}

# aggregated selection of "timetickets"
type timetickets_aggregate {
  aggregate: timetickets_aggregate_fields
  nodes: [timetickets!]!
}

# aggregate fields of "timetickets"
type timetickets_aggregate_fields {
  avg: timetickets_avg_fields
  count(columns: [timetickets_select_column!], distinct: Boolean): Int
  max: timetickets_max_fields
  min: timetickets_min_fields
  stddev: timetickets_stddev_fields
  stddev_pop: timetickets_stddev_pop_fields
  stddev_samp: timetickets_stddev_samp_fields
  sum: timetickets_sum_fields
  var_pop: timetickets_var_pop_fields
  var_samp: timetickets_var_samp_fields
  variance: timetickets_variance_fields
}

# order by aggregate values of table "timetickets"
input timetickets_aggregate_order_by {
  avg: timetickets_avg_order_by
  count: order_by
  max: timetickets_max_order_by
  min: timetickets_min_order_by
  stddev: timetickets_stddev_order_by
  stddev_pop: timetickets_stddev_pop_order_by
  stddev_samp: timetickets_stddev_samp_order_by
  sum: timetickets_sum_order_by
  var_pop: timetickets_var_pop_order_by
  var_samp: timetickets_var_samp_order_by
  variance: timetickets_variance_order_by
}

# input type for inserting array relation for remote table "timetickets"
input timetickets_arr_rel_insert_input {
  data: [timetickets_insert_input!]!
  on_conflict: timetickets_on_conflict
}

# aggregate avg on columns
type timetickets_avg_fields {
  actualhrs: Float
  productivehrs: Float
  rate: Float
}

# order by avg() on columns of table "timetickets"
input timetickets_avg_order_by {
  actualhrs: order_by
  productivehrs: order_by
  rate: order_by
}

# Boolean expression to filter rows from the table "timetickets". All fields are combined with a logical 'AND'.
input timetickets_bool_exp {
  _and: [timetickets_bool_exp]
  _not: timetickets_bool_exp
  _or: [timetickets_bool_exp]
  actualhrs: numeric_comparison_exp
  bodyshop: bodyshops_bool_exp
  bodyshopid: uuid_comparison_exp
  ciecacode: String_comparison_exp
  clockoff: timestamptz_comparison_exp
  clockon: timestamptz_comparison_exp
  cost_center: String_comparison_exp
  created_at: timestamptz_comparison_exp
  date: date_comparison_exp
  employee: employees_bool_exp
  employeeid: uuid_comparison_exp
  id: uuid_comparison_exp
  job: jobs_bool_exp
  jobid: uuid_comparison_exp
  memo: String_comparison_exp
  productivehrs: numeric_comparison_exp
  rate: numeric_comparison_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "timetickets"
enum timetickets_constraint {
  # unique or primary key constraint
  timetickets_pkey
}

# input type for incrementing integer column in table "timetickets"
input timetickets_inc_input {
  actualhrs: numeric
  productivehrs: numeric
  rate: numeric
}

# input type for inserting data into table "timetickets"
input timetickets_insert_input {
  actualhrs: numeric
  bodyshop: bodyshops_obj_rel_insert_input
  bodyshopid: uuid
  ciecacode: String
  clockoff: timestamptz
  clockon: timestamptz
  cost_center: String
  created_at: timestamptz
  date: date
  employee: employees_obj_rel_insert_input
  employeeid: uuid
  id: uuid
  job: jobs_obj_rel_insert_input
  jobid: uuid
  memo: String
  productivehrs: numeric
  rate: numeric
  updated_at: timestamptz
}

# aggregate max on columns
type timetickets_max_fields {
  actualhrs: numeric
  bodyshopid: uuid
  ciecacode: String
  clockoff: timestamptz
  clockon: timestamptz
  cost_center: String
  created_at: timestamptz
  date: date
  employeeid: uuid
  id: uuid
  jobid: uuid
  memo: String
  productivehrs: numeric
  rate: numeric
  updated_at: timestamptz
}

# order by max() on columns of table "timetickets"
input timetickets_max_order_by {
  actualhrs: order_by
  bodyshopid: order_by
  ciecacode: order_by
  clockoff: order_by
  clockon: order_by
  cost_center: order_by
  created_at: order_by
  date: order_by
  employeeid: order_by
  id: order_by
  jobid: order_by
  memo: order_by
  productivehrs: order_by
  rate: order_by
  updated_at: order_by
}

# aggregate min on columns
type timetickets_min_fields {
  actualhrs: numeric
  bodyshopid: uuid
  ciecacode: String
  clockoff: timestamptz
  clockon: timestamptz
  cost_center: String
  created_at: timestamptz
  date: date
  employeeid: uuid
  id: uuid
  jobid: uuid
  memo: String
  productivehrs: numeric
  rate: numeric
  updated_at: timestamptz
}

# order by min() on columns of table "timetickets"
input timetickets_min_order_by {
  actualhrs: order_by
  bodyshopid: order_by
  ciecacode: order_by
  clockoff: order_by
  clockon: order_by
  cost_center: order_by
  created_at: order_by
  date: order_by
  employeeid: order_by
  id: order_by
  jobid: order_by
  memo: order_by
  productivehrs: order_by
  rate: order_by
  updated_at: order_by
}

# response of any mutation on the table "timetickets"
type timetickets_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [timetickets!]!
}

# input type for inserting object relation for remote table "timetickets"
input timetickets_obj_rel_insert_input {
  data: timetickets_insert_input!
  on_conflict: timetickets_on_conflict
}

# on conflict condition type for table "timetickets"
input timetickets_on_conflict {
  constraint: timetickets_constraint!
  update_columns: [timetickets_update_column!]!
  where: timetickets_bool_exp
}

# ordering options when selecting data from "timetickets"
input timetickets_order_by {
  actualhrs: order_by
  bodyshop: bodyshops_order_by
  bodyshopid: order_by
  ciecacode: order_by
  clockoff: order_by
  clockon: order_by
  cost_center: order_by
  created_at: order_by
  date: order_by
  employee: employees_order_by
  employeeid: order_by
  id: order_by
  job: jobs_order_by
  jobid: order_by
  memo: order_by
  productivehrs: order_by
  rate: order_by
  updated_at: order_by
}

# primary key columns input for table: "timetickets"
input timetickets_pk_columns_input {
  id: uuid!
}

# select columns of table "timetickets"
enum timetickets_select_column {
  # column name
  actualhrs

  # column name
  bodyshopid

  # column name
  ciecacode

  # column name
  clockoff

  # column name
  clockon

  # column name
  cost_center

  # column name
  created_at

  # column name
  date

  # column name
  employeeid

  # column name
  id

  # column name
  jobid

  # column name
  memo

  # column name
  productivehrs

  # column name
  rate

  # column name
  updated_at
}

# input type for updating data in table "timetickets"
input timetickets_set_input {
  actualhrs: numeric
  bodyshopid: uuid
  ciecacode: String
  clockoff: timestamptz
  clockon: timestamptz
  cost_center: String
  created_at: timestamptz
  date: date
  employeeid: uuid
  id: uuid
  jobid: uuid
  memo: String
  productivehrs: numeric
  rate: numeric
  updated_at: timestamptz
}

# aggregate stddev on columns
type timetickets_stddev_fields {
  actualhrs: Float
  productivehrs: Float
  rate: Float
}

# order by stddev() on columns of table "timetickets"
input timetickets_stddev_order_by {
  actualhrs: order_by
  productivehrs: order_by
  rate: order_by
}

# aggregate stddev_pop on columns
type timetickets_stddev_pop_fields {
  actualhrs: Float
  productivehrs: Float
  rate: Float
}

# order by stddev_pop() on columns of table "timetickets"
input timetickets_stddev_pop_order_by {
  actualhrs: order_by
  productivehrs: order_by
  rate: order_by
}

# aggregate stddev_samp on columns
type timetickets_stddev_samp_fields {
  actualhrs: Float
  productivehrs: Float
  rate: Float
}

# order by stddev_samp() on columns of table "timetickets"
input timetickets_stddev_samp_order_by {
  actualhrs: order_by
  productivehrs: order_by
  rate: order_by
}

# aggregate sum on columns
type timetickets_sum_fields {
  actualhrs: numeric
  productivehrs: numeric
  rate: numeric
}

# order by sum() on columns of table "timetickets"
input timetickets_sum_order_by {
  actualhrs: order_by
  productivehrs: order_by
  rate: order_by
}

# update columns of table "timetickets"
enum timetickets_update_column {
  # column name
  actualhrs

  # column name
  bodyshopid

  # column name
  ciecacode

  # column name
  clockoff

  # column name
  clockon

  # column name
  cost_center

  # column name
  created_at

  # column name
  date

  # column name
  employeeid

  # column name
  id

  # column name
  jobid

  # column name
  memo

  # column name
  productivehrs

  # column name
  rate

  # column name
  updated_at
}

# aggregate var_pop on columns
type timetickets_var_pop_fields {
  actualhrs: Float
  productivehrs: Float
  rate: Float
}

# order by var_pop() on columns of table "timetickets"
input timetickets_var_pop_order_by {
  actualhrs: order_by
  productivehrs: order_by
  rate: order_by
}

# aggregate var_samp on columns
type timetickets_var_samp_fields {
  actualhrs: Float
  productivehrs: Float
  rate: Float
}

# order by var_samp() on columns of table "timetickets"
input timetickets_var_samp_order_by {
  actualhrs: order_by
  productivehrs: order_by
  rate: order_by
}

# aggregate variance on columns
type timetickets_variance_fields {
  actualhrs: Float
  productivehrs: Float
  rate: Float
}

# order by variance() on columns of table "timetickets"
input timetickets_variance_order_by {
  actualhrs: order_by
  productivehrs: order_by
  rate: order_by
}

# columns and relationships of "users"
type users {
  # An array relationship
  associations(
    # distinct select on columns
    distinct_on: [associations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [associations_order_by!]

    # filter the rows returned
    where: associations_bool_exp
  ): [associations!]!

  # An aggregated array relationship
  associations_aggregate(
    # distinct select on columns
    distinct_on: [associations_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [associations_order_by!]

    # filter the rows returned
    where: associations_bool_exp
  ): associations_aggregate!

  # An array relationship
  audit_trails(
    # distinct select on columns
    distinct_on: [audit_trail_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [audit_trail_order_by!]

    # filter the rows returned
    where: audit_trail_bool_exp
  ): [audit_trail!]!

  # An aggregated array relationship
  audit_trails_aggregate(
    # distinct select on columns
    distinct_on: [audit_trail_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [audit_trail_order_by!]

    # filter the rows returned
    where: audit_trail_bool_exp
  ): audit_trail_aggregate!
  authid: String!
  created_at: timestamptz!
  dashboardlayout(
    # JSON select path
    path: String
  ): jsonb!
  email: String!

  # An object relationship
  employee: employees
  fcmtokens(
    # JSON select path
    path: String
  ): jsonb

  # An array relationship
  notes(
    # distinct select on columns
    distinct_on: [notes_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [notes_order_by!]

    # filter the rows returned
    where: notes_bool_exp
  ): [notes!]!

  # An aggregated array relationship
  notes_aggregate(
    # distinct select on columns
    distinct_on: [notes_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [notes_order_by!]

    # filter the rows returned
    where: notes_bool_exp
  ): notes_aggregate!

  # An array relationship
  parts_orders(
    # distinct select on columns
    distinct_on: [parts_orders_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_orders_order_by!]

    # filter the rows returned
    where: parts_orders_bool_exp
  ): [parts_orders!]!

  # An aggregated array relationship
  parts_orders_aggregate(
    # distinct select on columns
    distinct_on: [parts_orders_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_orders_order_by!]

    # filter the rows returned
    where: parts_orders_bool_exp
  ): parts_orders_aggregate!
  updated_at: timestamptz!
}

# aggregated selection of "users"
type users_aggregate {
  aggregate: users_aggregate_fields
  nodes: [users!]!
}

# aggregate fields of "users"
type users_aggregate_fields {
  count(columns: [users_select_column!], distinct: Boolean): Int
  max: users_max_fields
  min: users_min_fields
}

# order by aggregate values of table "users"
input users_aggregate_order_by {
  count: order_by
  max: users_max_order_by
  min: users_min_order_by
}

# append existing jsonb value of filtered columns with new jsonb value
input users_append_input {
  dashboardlayout: jsonb
  fcmtokens: jsonb
}

# input type for inserting array relation for remote table "users"
input users_arr_rel_insert_input {
  data: [users_insert_input!]!
  on_conflict: users_on_conflict
}

# Boolean expression to filter rows from the table "users". All fields are combined with a logical 'AND'.
input users_bool_exp {
  _and: [users_bool_exp]
  _not: users_bool_exp
  _or: [users_bool_exp]
  associations: associations_bool_exp
  audit_trails: audit_trail_bool_exp
  authid: String_comparison_exp
  created_at: timestamptz_comparison_exp
  dashboardlayout: jsonb_comparison_exp
  email: String_comparison_exp
  employee: employees_bool_exp
  fcmtokens: jsonb_comparison_exp
  notes: notes_bool_exp
  parts_orders: parts_orders_bool_exp
  updated_at: timestamptz_comparison_exp
}

# unique or primary key constraints on table "users"
enum users_constraint {
  # unique or primary key constraint
  users_pkey
}

# delete the field or element with specified path (for JSON arrays, negative integers count from the end)
input users_delete_at_path_input {
  dashboardlayout: [String]
  fcmtokens: [String]
}

# delete the array element with specified index (negative integers count from the
# end). throws an error if top level container is not an array
input users_delete_elem_input {
  dashboardlayout: Int
  fcmtokens: Int
}

# delete key/value pair or string element. key/value pairs are matched based on their key value
input users_delete_key_input {
  dashboardlayout: String
  fcmtokens: String
}

# input type for inserting data into table "users"
input users_insert_input {
  associations: associations_arr_rel_insert_input
  audit_trails: audit_trail_arr_rel_insert_input
  authid: String
  created_at: timestamptz
  dashboardlayout: jsonb
  email: String
  employee: employees_obj_rel_insert_input
  fcmtokens: jsonb
  notes: notes_arr_rel_insert_input
  parts_orders: parts_orders_arr_rel_insert_input
  updated_at: timestamptz
}

# aggregate max on columns
type users_max_fields {
  authid: String
  created_at: timestamptz
  email: String
  updated_at: timestamptz
}

# order by max() on columns of table "users"
input users_max_order_by {
  authid: order_by
  created_at: order_by
  email: order_by
  updated_at: order_by
}

# aggregate min on columns
type users_min_fields {
  authid: String
  created_at: timestamptz
  email: String
  updated_at: timestamptz
}

# order by min() on columns of table "users"
input users_min_order_by {
  authid: order_by
  created_at: order_by
  email: order_by
  updated_at: order_by
}

# response of any mutation on the table "users"
type users_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [users!]!
}

# input type for inserting object relation for remote table "users"
input users_obj_rel_insert_input {
  data: users_insert_input!
  on_conflict: users_on_conflict
}

# on conflict condition type for table "users"
input users_on_conflict {
  constraint: users_constraint!
  update_columns: [users_update_column!]!
  where: users_bool_exp
}

# ordering options when selecting data from "users"
input users_order_by {
  associations_aggregate: associations_aggregate_order_by
  audit_trails_aggregate: audit_trail_aggregate_order_by
  authid: order_by
  created_at: order_by
  dashboardlayout: order_by
  email: order_by
  employee: employees_order_by
  fcmtokens: order_by
  notes_aggregate: notes_aggregate_order_by
  parts_orders_aggregate: parts_orders_aggregate_order_by
  updated_at: order_by
}

# primary key columns input for table: "users"
input users_pk_columns_input {
  email: String!
}

# prepend existing jsonb value of filtered columns with new jsonb value
input users_prepend_input {
  dashboardlayout: jsonb
  fcmtokens: jsonb
}

# select columns of table "users"
enum users_select_column {
  # column name
  authid

  # column name
  created_at

  # column name
  dashboardlayout

  # column name
  email

  # column name
  fcmtokens

  # column name
  updated_at
}

# input type for updating data in table "users"
input users_set_input {
  authid: String
  created_at: timestamptz
  dashboardlayout: jsonb
  email: String
  fcmtokens: jsonb
  updated_at: timestamptz
}

# update columns of table "users"
enum users_update_column {
  # column name
  authid

  # column name
  created_at

  # column name
  dashboardlayout

  # column name
  email

  # column name
  fcmtokens

  # column name
  updated_at
}

scalar uuid

# expression to compare columns of type uuid. All fields are combined with logical 'AND'.
input uuid_comparison_exp {
  _eq: uuid
  _gt: uuid
  _gte: uuid
  _in: [uuid!]
  _is_null: Boolean
  _lt: uuid
  _lte: uuid
  _neq: uuid
  _nin: [uuid!]
}

# columns and relationships of "vehicles"
type vehicles {
  # An object relationship
  bodyshop: bodyshops!
  created_at: timestamptz!
  db_v_code: String
  id: uuid!

  # An array relationship
  jobs(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): [jobs!]!

  # An aggregated array relationship
  jobs_aggregate(
    # distinct select on columns
    distinct_on: [jobs_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [jobs_order_by!]

    # filter the rows returned
    where: jobs_bool_exp
  ): jobs_aggregate!
  plate_no: String
  plate_st: String
  shopid: uuid!
  trim_color: String
  updated_at: timestamptz!
  v_bstyle: String
  v_color: String
  v_cond: String
  v_engine: String
  v_make_desc: String
  v_makecode: String
  v_mldgcode: String
  v_model_desc: String
  v_model_yr: String
  v_options: String
  v_paint_codes(
    # JSON select path
    path: String
  ): jsonb
  v_prod_dt: String
  v_stage: String
  v_tone: String
  v_trimcode: String
  v_type: String
  v_vin: String!
}

# aggregated selection of "vehicles"
type vehicles_aggregate {
  aggregate: vehicles_aggregate_fields
  nodes: [vehicles!]!
}

# aggregate fields of "vehicles"
type vehicles_aggregate_fields {
  count(columns: [vehicles_select_column!], distinct: Boolean): Int
  max: vehicles_max_fields
  min: vehicles_min_fields
}

# order by aggregate values of table "vehicles"
input vehicles_aggregate_order_by {
  count: order_by
  max: vehicles_max_order_by
  min: vehicles_min_order_by
}

# append existing jsonb value of filtered columns with new jsonb value
input vehicles_append_input {
  v_paint_codes: jsonb
}

# input type for inserting array relation for remote table "vehicles"
input vehicles_arr_rel_insert_input {
  data: [vehicles_insert_input!]!
  on_conflict: vehicles_on_conflict
}

# Boolean expression to filter rows from the table "vehicles". All fields are combined with a logical 'AND'.
input vehicles_bool_exp {
  _and: [vehicles_bool_exp]
  _not: vehicles_bool_exp
  _or: [vehicles_bool_exp]
  bodyshop: bodyshops_bool_exp
  created_at: timestamptz_comparison_exp
  db_v_code: String_comparison_exp
  id: uuid_comparison_exp
  jobs: jobs_bool_exp
  plate_no: String_comparison_exp
  plate_st: String_comparison_exp
  shopid: uuid_comparison_exp
  trim_color: String_comparison_exp
  updated_at: timestamptz_comparison_exp
  v_bstyle: String_comparison_exp
  v_color: String_comparison_exp
  v_cond: String_comparison_exp
  v_engine: String_comparison_exp
  v_make_desc: String_comparison_exp
  v_makecode: String_comparison_exp
  v_mldgcode: String_comparison_exp
  v_model_desc: String_comparison_exp
  v_model_yr: String_comparison_exp
  v_options: String_comparison_exp
  v_paint_codes: jsonb_comparison_exp
  v_prod_dt: String_comparison_exp
  v_stage: String_comparison_exp
  v_tone: String_comparison_exp
  v_trimcode: String_comparison_exp
  v_type: String_comparison_exp
  v_vin: String_comparison_exp
}

# unique or primary key constraints on table "vehicles"
enum vehicles_constraint {
  # unique or primary key constraint
  vehicles_pkey

  # unique or primary key constraint
  vehicles_v_vin_shopid_key
}

# delete the field or element with specified path (for JSON arrays, negative integers count from the end)
input vehicles_delete_at_path_input {
  v_paint_codes: [String]
}

# delete the array element with specified index (negative integers count from the
# end). throws an error if top level container is not an array
input vehicles_delete_elem_input {
  v_paint_codes: Int
}

# delete key/value pair or string element. key/value pairs are matched based on their key value
input vehicles_delete_key_input {
  v_paint_codes: String
}

# input type for inserting data into table "vehicles"
input vehicles_insert_input {
  bodyshop: bodyshops_obj_rel_insert_input
  created_at: timestamptz
  db_v_code: String
  id: uuid
  jobs: jobs_arr_rel_insert_input
  plate_no: String
  plate_st: String
  shopid: uuid
  trim_color: String
  updated_at: timestamptz
  v_bstyle: String
  v_color: String
  v_cond: String
  v_engine: String
  v_make_desc: String
  v_makecode: String
  v_mldgcode: String
  v_model_desc: String
  v_model_yr: String
  v_options: String
  v_paint_codes: jsonb
  v_prod_dt: String
  v_stage: String
  v_tone: String
  v_trimcode: String
  v_type: String
  v_vin: String
}

# aggregate max on columns
type vehicles_max_fields {
  created_at: timestamptz
  db_v_code: String
  id: uuid
  plate_no: String
  plate_st: String
  shopid: uuid
  trim_color: String
  updated_at: timestamptz
  v_bstyle: String
  v_color: String
  v_cond: String
  v_engine: String
  v_make_desc: String
  v_makecode: String
  v_mldgcode: String
  v_model_desc: String
  v_model_yr: String
  v_options: String
  v_prod_dt: String
  v_stage: String
  v_tone: String
  v_trimcode: String
  v_type: String
  v_vin: String
}

# order by max() on columns of table "vehicles"
input vehicles_max_order_by {
  created_at: order_by
  db_v_code: order_by
  id: order_by
  plate_no: order_by
  plate_st: order_by
  shopid: order_by
  trim_color: order_by
  updated_at: order_by
  v_bstyle: order_by
  v_color: order_by
  v_cond: order_by
  v_engine: order_by
  v_make_desc: order_by
  v_makecode: order_by
  v_mldgcode: order_by
  v_model_desc: order_by
  v_model_yr: order_by
  v_options: order_by
  v_prod_dt: order_by
  v_stage: order_by
  v_tone: order_by
  v_trimcode: order_by
  v_type: order_by
  v_vin: order_by
}

# aggregate min on columns
type vehicles_min_fields {
  created_at: timestamptz
  db_v_code: String
  id: uuid
  plate_no: String
  plate_st: String
  shopid: uuid
  trim_color: String
  updated_at: timestamptz
  v_bstyle: String
  v_color: String
  v_cond: String
  v_engine: String
  v_make_desc: String
  v_makecode: String
  v_mldgcode: String
  v_model_desc: String
  v_model_yr: String
  v_options: String
  v_prod_dt: String
  v_stage: String
  v_tone: String
  v_trimcode: String
  v_type: String
  v_vin: String
}

# order by min() on columns of table "vehicles"
input vehicles_min_order_by {
  created_at: order_by
  db_v_code: order_by
  id: order_by
  plate_no: order_by
  plate_st: order_by
  shopid: order_by
  trim_color: order_by
  updated_at: order_by
  v_bstyle: order_by
  v_color: order_by
  v_cond: order_by
  v_engine: order_by
  v_make_desc: order_by
  v_makecode: order_by
  v_mldgcode: order_by
  v_model_desc: order_by
  v_model_yr: order_by
  v_options: order_by
  v_prod_dt: order_by
  v_stage: order_by
  v_tone: order_by
  v_trimcode: order_by
  v_type: order_by
  v_vin: order_by
}

# response of any mutation on the table "vehicles"
type vehicles_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [vehicles!]!
}

# input type for inserting object relation for remote table "vehicles"
input vehicles_obj_rel_insert_input {
  data: vehicles_insert_input!
  on_conflict: vehicles_on_conflict
}

# on conflict condition type for table "vehicles"
input vehicles_on_conflict {
  constraint: vehicles_constraint!
  update_columns: [vehicles_update_column!]!
  where: vehicles_bool_exp
}

# ordering options when selecting data from "vehicles"
input vehicles_order_by {
  bodyshop: bodyshops_order_by
  created_at: order_by
  db_v_code: order_by
  id: order_by
  jobs_aggregate: jobs_aggregate_order_by
  plate_no: order_by
  plate_st: order_by
  shopid: order_by
  trim_color: order_by
  updated_at: order_by
  v_bstyle: order_by
  v_color: order_by
  v_cond: order_by
  v_engine: order_by
  v_make_desc: order_by
  v_makecode: order_by
  v_mldgcode: order_by
  v_model_desc: order_by
  v_model_yr: order_by
  v_options: order_by
  v_paint_codes: order_by
  v_prod_dt: order_by
  v_stage: order_by
  v_tone: order_by
  v_trimcode: order_by
  v_type: order_by
  v_vin: order_by
}

# primary key columns input for table: "vehicles"
input vehicles_pk_columns_input {
  id: uuid!
}

# prepend existing jsonb value of filtered columns with new jsonb value
input vehicles_prepend_input {
  v_paint_codes: jsonb
}

# select columns of table "vehicles"
enum vehicles_select_column {
  # column name
  created_at

  # column name
  db_v_code

  # column name
  id

  # column name
  plate_no

  # column name
  plate_st

  # column name
  shopid

  # column name
  trim_color

  # column name
  updated_at

  # column name
  v_bstyle

  # column name
  v_color

  # column name
  v_cond

  # column name
  v_engine

  # column name
  v_make_desc

  # column name
  v_makecode

  # column name
  v_mldgcode

  # column name
  v_model_desc

  # column name
  v_model_yr

  # column name
  v_options

  # column name
  v_paint_codes

  # column name
  v_prod_dt

  # column name
  v_stage

  # column name
  v_tone

  # column name
  v_trimcode

  # column name
  v_type

  # column name
  v_vin
}

# input type for updating data in table "vehicles"
input vehicles_set_input {
  created_at: timestamptz
  db_v_code: String
  id: uuid
  plate_no: String
  plate_st: String
  shopid: uuid
  trim_color: String
  updated_at: timestamptz
  v_bstyle: String
  v_color: String
  v_cond: String
  v_engine: String
  v_make_desc: String
  v_makecode: String
  v_mldgcode: String
  v_model_desc: String
  v_model_yr: String
  v_options: String
  v_paint_codes: jsonb
  v_prod_dt: String
  v_stage: String
  v_tone: String
  v_trimcode: String
  v_type: String
  v_vin: String
}

# update columns of table "vehicles"
enum vehicles_update_column {
  # column name
  created_at

  # column name
  db_v_code

  # column name
  id

  # column name
  plate_no

  # column name
  plate_st

  # column name
  shopid

  # column name
  trim_color

  # column name
  updated_at

  # column name
  v_bstyle

  # column name
  v_color

  # column name
  v_cond

  # column name
  v_engine

  # column name
  v_make_desc

  # column name
  v_makecode

  # column name
  v_mldgcode

  # column name
  v_model_desc

  # column name
  v_model_yr

  # column name
  v_options

  # column name
  v_paint_codes

  # column name
  v_prod_dt

  # column name
  v_stage

  # column name
  v_tone

  # column name
  v_trimcode

  # column name
  v_type

  # column name
  v_vin
}

# columns and relationships of "vendors"
type vendors {
  # An object relationship
  bodyshop: bodyshops!
  bodyshopid: uuid!
  city: String
  cost_center: String!
  country: String
  created_at: timestamptz!
  discount: numeric!
  display_name: String
  due_date: Int
  email: String
  favorite(
    # JSON select path
    path: String
  ): jsonb
  id: uuid!

  # An array relationship
  invoices(
    # distinct select on columns
    distinct_on: [invoices_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoices_order_by!]

    # filter the rows returned
    where: invoices_bool_exp
  ): [invoices!]!

  # An aggregated array relationship
  invoices_aggregate(
    # distinct select on columns
    distinct_on: [invoices_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [invoices_order_by!]

    # filter the rows returned
    where: invoices_bool_exp
  ): invoices_aggregate!
  name: String!

  # An array relationship
  parts_orders(
    # distinct select on columns
    distinct_on: [parts_orders_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_orders_order_by!]

    # filter the rows returned
    where: parts_orders_bool_exp
  ): [parts_orders!]!

  # An aggregated array relationship
  parts_orders_aggregate(
    # distinct select on columns
    distinct_on: [parts_orders_select_column!]

    # limit the number of rows returned
    limit: Int

    # skip the first n rows. Use only with order_by
    offset: Int

    # sort the rows by one or more columns
    order_by: [parts_orders_order_by!]

    # filter the rows returned
    where: parts_orders_bool_exp
  ): parts_orders_aggregate!
  prompt_discount: numeric!
  state: String
  street1: String
  street2: String
  taxid: String
  terms: String
  updated_at: timestamptz!
  zip: String
}

# aggregated selection of "vendors"
type vendors_aggregate {
  aggregate: vendors_aggregate_fields
  nodes: [vendors!]!
}

# aggregate fields of "vendors"
type vendors_aggregate_fields {
  avg: vendors_avg_fields
  count(columns: [vendors_select_column!], distinct: Boolean): Int
  max: vendors_max_fields
  min: vendors_min_fields
  stddev: vendors_stddev_fields
  stddev_pop: vendors_stddev_pop_fields
  stddev_samp: vendors_stddev_samp_fields
  sum: vendors_sum_fields
  var_pop: vendors_var_pop_fields
  var_samp: vendors_var_samp_fields
  variance: vendors_variance_fields
}

# order by aggregate values of table "vendors"
input vendors_aggregate_order_by {
  avg: vendors_avg_order_by
  count: order_by
  max: vendors_max_order_by
  min: vendors_min_order_by
  stddev: vendors_stddev_order_by
  stddev_pop: vendors_stddev_pop_order_by
  stddev_samp: vendors_stddev_samp_order_by
  sum: vendors_sum_order_by
  var_pop: vendors_var_pop_order_by
  var_samp: vendors_var_samp_order_by
  variance: vendors_variance_order_by
}

# append existing jsonb value of filtered columns with new jsonb value
input vendors_append_input {
  favorite: jsonb
}

# input type for inserting array relation for remote table "vendors"
input vendors_arr_rel_insert_input {
  data: [vendors_insert_input!]!
  on_conflict: vendors_on_conflict
}

# aggregate avg on columns
type vendors_avg_fields {
  discount: Float
  due_date: Float
  prompt_discount: Float
}

# order by avg() on columns of table "vendors"
input vendors_avg_order_by {
  discount: order_by
  due_date: order_by
  prompt_discount: order_by
}

# Boolean expression to filter rows from the table "vendors". All fields are combined with a logical 'AND'.
input vendors_bool_exp {
  _and: [vendors_bool_exp]
  _not: vendors_bool_exp
  _or: [vendors_bool_exp]
  bodyshop: bodyshops_bool_exp
  bodyshopid: uuid_comparison_exp
  city: String_comparison_exp
  cost_center: String_comparison_exp
  country: String_comparison_exp
  created_at: timestamptz_comparison_exp
  discount: numeric_comparison_exp
  display_name: String_comparison_exp
  due_date: Int_comparison_exp
  email: String_comparison_exp
  favorite: jsonb_comparison_exp
  id: uuid_comparison_exp
  invoices: invoices_bool_exp
  name: String_comparison_exp
  parts_orders: parts_orders_bool_exp
  prompt_discount: numeric_comparison_exp
  state: String_comparison_exp
  street1: String_comparison_exp
  street2: String_comparison_exp
  taxid: String_comparison_exp
  terms: String_comparison_exp
  updated_at: timestamptz_comparison_exp
  zip: String_comparison_exp
}

# unique or primary key constraints on table "vendors"
enum vendors_constraint {
  # unique or primary key constraint
  vendors_pkey
}

# delete the field or element with specified path (for JSON arrays, negative integers count from the end)
input vendors_delete_at_path_input {
  favorite: [String]
}

# delete the array element with specified index (negative integers count from the
# end). throws an error if top level container is not an array
input vendors_delete_elem_input {
  favorite: Int
}

# delete key/value pair or string element. key/value pairs are matched based on their key value
input vendors_delete_key_input {
  favorite: String
}

# input type for incrementing integer column in table "vendors"
input vendors_inc_input {
  discount: numeric
  due_date: Int
  prompt_discount: numeric
}

# input type for inserting data into table "vendors"
input vendors_insert_input {
  bodyshop: bodyshops_obj_rel_insert_input
  bodyshopid: uuid
  city: String
  cost_center: String
  country: String
  created_at: timestamptz
  discount: numeric
  display_name: String
  due_date: Int
  email: String
  favorite: jsonb
  id: uuid
  invoices: invoices_arr_rel_insert_input
  name: String
  parts_orders: parts_orders_arr_rel_insert_input
  prompt_discount: numeric
  state: String
  street1: String
  street2: String
  taxid: String
  terms: String
  updated_at: timestamptz
  zip: String
}

# aggregate max on columns
type vendors_max_fields {
  bodyshopid: uuid
  city: String
  cost_center: String
  country: String
  created_at: timestamptz
  discount: numeric
  display_name: String
  due_date: Int
  email: String
  id: uuid
  name: String
  prompt_discount: numeric
  state: String
  street1: String
  street2: String
  taxid: String
  terms: String
  updated_at: timestamptz
  zip: String
}

# order by max() on columns of table "vendors"
input vendors_max_order_by {
  bodyshopid: order_by
  city: order_by
  cost_center: order_by
  country: order_by
  created_at: order_by
  discount: order_by
  display_name: order_by
  due_date: order_by
  email: order_by
  id: order_by
  name: order_by
  prompt_discount: order_by
  state: order_by
  street1: order_by
  street2: order_by
  taxid: order_by
  terms: order_by
  updated_at: order_by
  zip: order_by
}

# aggregate min on columns
type vendors_min_fields {
  bodyshopid: uuid
  city: String
  cost_center: String
  country: String
  created_at: timestamptz
  discount: numeric
  display_name: String
  due_date: Int
  email: String
  id: uuid
  name: String
  prompt_discount: numeric
  state: String
  street1: String
  street2: String
  taxid: String
  terms: String
  updated_at: timestamptz
  zip: String
}

# order by min() on columns of table "vendors"
input vendors_min_order_by {
  bodyshopid: order_by
  city: order_by
  cost_center: order_by
  country: order_by
  created_at: order_by
  discount: order_by
  display_name: order_by
  due_date: order_by
  email: order_by
  id: order_by
  name: order_by
  prompt_discount: order_by
  state: order_by
  street1: order_by
  street2: order_by
  taxid: order_by
  terms: order_by
  updated_at: order_by
  zip: order_by
}

# response of any mutation on the table "vendors"
type vendors_mutation_response {
  # number of affected rows by the mutation
  affected_rows: Int!

  # data of the affected rows by the mutation
  returning: [vendors!]!
}

# input type for inserting object relation for remote table "vendors"
input vendors_obj_rel_insert_input {
  data: vendors_insert_input!
  on_conflict: vendors_on_conflict
}

# on conflict condition type for table "vendors"
input vendors_on_conflict {
  constraint: vendors_constraint!
  update_columns: [vendors_update_column!]!
  where: vendors_bool_exp
}

# ordering options when selecting data from "vendors"
input vendors_order_by {
  bodyshop: bodyshops_order_by
  bodyshopid: order_by
  city: order_by
  cost_center: order_by
  country: order_by
  created_at: order_by
  discount: order_by
  display_name: order_by
  due_date: order_by
  email: order_by
  favorite: order_by
  id: order_by
  invoices_aggregate: invoices_aggregate_order_by
  name: order_by
  parts_orders_aggregate: parts_orders_aggregate_order_by
  prompt_discount: order_by
  state: order_by
  street1: order_by
  street2: order_by
  taxid: order_by
  terms: order_by
  updated_at: order_by
  zip: order_by
}

# primary key columns input for table: "vendors"
input vendors_pk_columns_input {
  id: uuid!
}

# prepend existing jsonb value of filtered columns with new jsonb value
input vendors_prepend_input {
  favorite: jsonb
}

# select columns of table "vendors"
enum vendors_select_column {
  # column name
  bodyshopid

  # column name
  city

  # column name
  cost_center

  # column name
  country

  # column name
  created_at

  # column name
  discount

  # column name
  display_name

  # column name
  due_date

  # column name
  email

  # column name
  favorite

  # column name
  id

  # column name
  name

  # column name
  prompt_discount

  # column name
  state

  # column name
  street1

  # column name
  street2

  # column name
  taxid

  # column name
  terms

  # column name
  updated_at

  # column name
  zip
}

# input type for updating data in table "vendors"
input vendors_set_input {
  bodyshopid: uuid
  city: String
  cost_center: String
  country: String
  created_at: timestamptz
  discount: numeric
  display_name: String
  due_date: Int
  email: String
  favorite: jsonb
  id: uuid
  name: String
  prompt_discount: numeric
  state: String
  street1: String
  street2: String
  taxid: String
  terms: String
  updated_at: timestamptz
  zip: String
}

# aggregate stddev on columns
type vendors_stddev_fields {
  discount: Float
  due_date: Float
  prompt_discount: Float
}

# order by stddev() on columns of table "vendors"
input vendors_stddev_order_by {
  discount: order_by
  due_date: order_by
  prompt_discount: order_by
}

# aggregate stddev_pop on columns
type vendors_stddev_pop_fields {
  discount: Float
  due_date: Float
  prompt_discount: Float
}

# order by stddev_pop() on columns of table "vendors"
input vendors_stddev_pop_order_by {
  discount: order_by
  due_date: order_by
  prompt_discount: order_by
}

# aggregate stddev_samp on columns
type vendors_stddev_samp_fields {
  discount: Float
  due_date: Float
  prompt_discount: Float
}

# order by stddev_samp() on columns of table "vendors"
input vendors_stddev_samp_order_by {
  discount: order_by
  due_date: order_by
  prompt_discount: order_by
}

# aggregate sum on columns
type vendors_sum_fields {
  discount: numeric
  due_date: Int
  prompt_discount: numeric
}

# order by sum() on columns of table "vendors"
input vendors_sum_order_by {
  discount: order_by
  due_date: order_by
  prompt_discount: order_by
}

# update columns of table "vendors"
enum vendors_update_column {
  # column name
  bodyshopid

  # column name
  city

  # column name
  cost_center

  # column name
  country

  # column name
  created_at

  # column name
  discount

  # column name
  display_name

  # column name
  due_date

  # column name
  email

  # column name
  favorite

  # column name
  id

  # column name
  name

  # column name
  prompt_discount

  # column name
  state

  # column name
  street1

  # column name
  street2

  # column name
  taxid

  # column name
  terms

  # column name
  updated_at

  # column name
  zip
}

# aggregate var_pop on columns
type vendors_var_pop_fields {
  discount: Float
  due_date: Float
  prompt_discount: Float
}

# order by var_pop() on columns of table "vendors"
input vendors_var_pop_order_by {
  discount: order_by
  due_date: order_by
  prompt_discount: order_by
}

# aggregate var_samp on columns
type vendors_var_samp_fields {
  discount: Float
  due_date: Float
  prompt_discount: Float
}

# order by var_samp() on columns of table "vendors"
input vendors_var_samp_order_by {
  discount: order_by
  due_date: order_by
  prompt_discount: order_by
}

# aggregate variance on columns
type vendors_variance_fields {
  discount: Float
  due_date: Float
  prompt_discount: Float
}

# order by variance() on columns of table "vendors"
input vendors_variance_order_by {
  discount: order_by
  due_date: order_by
  prompt_discount: order_by
}