IO-3092 WIP on img proxy thumbnail generation.

This commit is contained in:
Patrick Fic
2025-02-05 11:03:29 -08:00
parent e8ee2a9416
commit 47fe1959b1
6 changed files with 489 additions and 41 deletions

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import { UploadOutlined } from "@ant-design/icons";
import { Progress, Result, Space, Upload } from "antd";
import { useMemo, useState } from "react";
import { useTranslation } from "react-i18next";
import { connect } from "react-redux";
import { createStructuredSelector } from "reselect";
import { useNotification } from "../../contexts/Notifications/notificationContext.jsx";
import { selectBodyshop, selectCurrentUser } from "../../redux/user/user.selectors";
import formatBytes from "../../utils/formatbytes";
import { HasFeatureAccess } from "../feature-wrapper/feature-wrapper.component";
import LockWrapperComponent from "../lock-wrapper/lock-wrapper.component";
import { handleUpload } from "./documents-upload-imgproxy.utility.js";
const mapStateToProps = createStructuredSelector({
currentUser: selectCurrentUser,
bodyshop: selectBodyshop
});
export function DocumentsUploadImgproxyComponent({
children,
currentUser,
bodyshop,
jobId,
tagsArray,
billId,
callbackAfterUpload,
totalSize,
ignoreSizeLimit = false
}) {
const { t } = useTranslation();
const [fileList, setFileList] = useState([]);
const notification = useNotification();
const pct = useMemo(() => {
return parseInt((totalSize / ((bodyshop && bodyshop.jobsizelimit) || 1)) * 100);
}, [bodyshop, totalSize]);
if (pct > 100 && !ignoreSizeLimit)
return (
<Result
status="error"
title={t("documents.labels.storageexceeded_title")}
subTitle={t("documents.labels.storageexceeded")}
/>
);
const handleDone = (uid) => {
setTimeout(() => {
setFileList((fileList) => fileList.filter((x) => x.uid !== uid));
}, 2000);
};
const hasMediaAccess = HasFeatureAccess({ bodyshop, featureName: "media" });
return (
<Upload.Dragger
multiple={true}
fileList={fileList}
disabled={!hasMediaAccess}
onChange={(f) => {
if (f.event && f.event.percent === 100) handleDone(f.file.uid);
setFileList(f.fileList);
}}
beforeUpload={(file, fileList) => {
if (ignoreSizeLimit) return true;
const newFiles = fileList.reduce((acc, val) => acc + val.size, 0);
const shouldStopUpload = (totalSize + newFiles) / ((bodyshop && bodyshop.jobsizelimit) || 1) >= 1;
//Check to see if old files plus newly uploaded ones will be too much.
if (shouldStopUpload) {
notification.open({
key: "cannotuploaddocuments",
type: "error",
message: t("documents.labels.upload_limitexceeded_title"),
description: t("documents.labels.upload_limitexceeded")
});
return Upload.LIST_IGNORE;
}
return true;
}}
customRequest={(ev) =>
handleUpload(
ev,
{
bodyshop: bodyshop,
uploaded_by: currentUser.email,
jobId: jobId,
billId: billId,
tagsArray: tagsArray,
callback: callbackAfterUpload
},
notification
)
}
accept="audio/*, video/*, image/*, .pdf, .doc, .docx, .xls, .xlsx"
// showUploadList={false}
>
{children || (
<>
<p className="ant-upload-drag-icon">
<UploadOutlined />
</p>
<p className="ant-upload-text">
<LockWrapperComponent featureName="media">{t("documents.labels.dragtoupload")}</LockWrapperComponent>
</p>
{!ignoreSizeLimit && (
<Space wrap className="ant-upload-text">
<Progress type="dashboard" percent={pct} size="small" />
<span>
{t("documents.labels.usage", {
percent: pct,
used: formatBytes(totalSize),
total: formatBytes(bodyshop && bodyshop.jobsizelimit)
})}
</span>
</Space>
)}
</>
)}
</Upload.Dragger>
);
}
export default connect(mapStateToProps, null)(DocumentsUploadImgproxyComponent);

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import axios from "axios";
import exifr from "exifr";
import i18n from "i18next";
import { logImEXEvent } from "../../firebase/firebase.utils";
import { INSERT_NEW_DOCUMENT } from "../../graphql/documents.queries";
import { axiosAuthInterceptorId } from "../../utils/CleanAxios";
import client from "../../utils/GraphQLClient";
//Context: currentUserEmail, bodyshop, jobid, invoiceid
//Required to prevent headers from getting set and rejected from Cloudinary.
var cleanAxios = axios.create();
cleanAxios.interceptors.request.eject(axiosAuthInterceptorId);
export const handleUpload = (ev, context, notification) => {
logImEXEvent("document_upload", { filetype: ev.file.type });
const { onError, onSuccess, onProgress } = ev;
const { bodyshop, jobId } = context;
const fileName = ev.file.name || ev.filename;
let key = replaceAccents(fileName).replace(/[^A-Z0-9.]+/gi, "_");
let extension = fileName.split(".").pop();
uploadToS3(key, extension, ev.file.type, ev.file, onError, onSuccess, onProgress, context, notification);
};
//Handles only 1 file at a time.
export const uploadToS3 = async (
key,
extension,
fileType,
file,
onError,
onSuccess,
onProgress,
context,
notification
) => {
const { bodyshop, jobId, billId, uploaded_by, callback, tagsArray } = context;
//Set variables for getting the signed URL.
let timestamp = Math.floor(Date.now() / 1000);
//Get the signed url.
const signedURLResponse = await axios.post("/media/proxy/sign", {
filenames: [key],
bodyshopid: bodyshop.id,
jobid: jobId
});
if (signedURLResponse.status !== 200) {
if (onError) onError(signedURLResponse.statusText);
notification["error"]({
message: i18n.t("documents.errors.getpresignurl", {
message: signedURLResponse.statusText
})
});
return;
}
const { presignedUrl: preSignedUploadUrlToS3, key: s3Key } = signedURLResponse.data.signedUrls[0];
//Build request to end to cloudinary.
var options = {
// headers: { "X-Requested-With": "XMLHttpRequest" },
onUploadProgress: (e) => {
if (onProgress) onProgress({ percent: (e.loaded / e.total) * 100 });
}
};
// const formData = new FormData();
// formData.append("file", file);
// formData.append("upload_preset", upload_preset);
// formData.append("api_key", import.meta.env.VITE_APP_CLOUDINARY_API_KEY);
// formData.append("public_id", public_id);
// formData.append("tags", tags);
// formData.append("timestamp", timestamp);
// formData.append("signature", signature);
const cloudinaryUploadResponse = await cleanAxios.put(preSignedUploadUrlToS3, file, options);
//Insert the document with the matching key.
let takenat;
if (fileType.includes("image")) {
try {
const exif = await exifr.parse(file);
takenat = exif && exif.DateTimeOriginal;
} catch (error) {
console.log("Unable to parse image file for EXIF Data");
}
}
const documentInsert = await client.mutate({
mutation: INSERT_NEW_DOCUMENT,
variables: {
docInput: [
{
...(jobId ? { jobid: jobId } : {}),
...(billId ? { billid: billId } : {}),
uploaded_by: uploaded_by,
key: s3Key,
type: fileType,
extension: cloudinaryUploadResponse.data.format || extension,
bodyshopid: bodyshop.id,
size: cloudinaryUploadResponse.data.bytes || file.size,
takenat
}
]
}
});
if (!documentInsert.errors) {
if (onSuccess)
onSuccess({
//TODO: Since this may go server side, we can just manage the state locally.
uid: documentInsert.data.insert_documents.returning[0].id,
name: documentInsert.data.insert_documents.returning[0].name,
status: "done",
key: documentInsert.data.insert_documents.returning[0].key
});
notification.open({
type: "success",
key: "docuploadsuccess",
message: i18n.t("documents.successes.insert")
});
if (callback) {
callback();
}
} else {
if (onError) onError(JSON.stringify(documentInsert.errors));
notification["error"]({
message: i18n.t("documents.errors.insert", {
message: JSON.stringify(documentInsert.errors)
})
});
return;
}
};
//Also needs to be updated in media JS and mobile app.
export function DetermineFileType(filetype) {
if (!filetype) return "auto";
else if (filetype.startsWith("image")) return "image";
else if (filetype.startsWith("video")) return "video";
else if (filetype.startsWith("application/pdf")) return "image";
else if (filetype.startsWith("application")) return "raw";
return "auto";
}
function replaceAccents(str) {
// Verifies if the String has accents and replace them
if (str.search(/[\xC0-\xFF]/g) > -1) {
str = str
.replace(/[\xC0-\xC5]/g, "A")
.replace(/[\xC6]/g, "AE")
.replace(/[\xC7]/g, "C")
.replace(/[\xC8-\xCB]/g, "E")
.replace(/[\xCC-\xCF]/g, "I")
.replace(/[\xD0]/g, "D")
.replace(/[\xD1]/g, "N")
.replace(/[\xD2-\xD6\xD8]/g, "O")
.replace(/[\xD9-\xDC]/g, "U")
.replace(/[\xDD]/g, "Y")
.replace(/[\xDE]/g, "P")
.replace(/[\xE0-\xE5]/g, "a")
.replace(/[\xE6]/g, "ae")
.replace(/[\xE7]/g, "c")
.replace(/[\xE8-\xEB]/g, "e")
.replace(/[\xEC-\xEF]/g, "i")
.replace(/[\xF1]/g, "n")
.replace(/[\xF2-\xF6\xF8]/g, "o")
.replace(/[\xF9-\xFC]/g, "u")
.replace(/[\xFE]/g, "p")
.replace(/[\xFD\xFF]/g, "y");
}
return str;
}