116 lines
3.1 KiB
JavaScript
116 lines
3.1 KiB
JavaScript
import React, { useEffect, useState } from "react";
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import {
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FlatList,
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Image,
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RefreshControl,
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Text,
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TouchableOpacity,
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View,
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} from "react-native";
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import MediaCacheOverlay from "../media-cache-overlay/media-cache-overlay.component";
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import * as Sentry from '@sentry/react-native';
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import Toast from "react-native-toast-message";
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import cleanAxios from "../../util/CleanAxios";
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export default function JobDocumentsLocalComponent({ bodyshop, job }) {
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const [previewVisible, setPreviewVisible] = useState(false);
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const [images, setImages] = useState([]);
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const [imgIndex, setImgIndex] = useState(0);
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useEffect(() => {
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if (job.id) {
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getPhotos({ bodyshop, jobid: job.id, setImages });
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}
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}, [job.id, bodyshop]);
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const onRefresh = async () => {
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return getPhotos({ bodyshop, jobid: job.id, setImages });
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};
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return (
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<View style={{ flex: 1 }}>
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<FlatList
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refreshControl={
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<RefreshControl refreshing={false} onRefresh={onRefresh} />
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}
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data={images}
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numColumns={4}
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style={{ flex: 1 }}
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keyExtractor={(item) => item.id}
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renderItem={(object) => (
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<TouchableOpacity
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style={{ flex: 1 / 4, aspectRatio: 1, margin: 4 }}
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onPress={async () => {
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setImgIndex(object.index);
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setPreviewVisible(true);
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}}
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>
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<Image
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style={{ flex: 1 }}
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resizeMode="cover"
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source={{
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uri: object.item.thumbUrl,
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aspectRatio: 1,
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}}
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/>
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</TouchableOpacity>
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)}
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/>
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<Text>
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{images?.filter((d) => d.type?.mime?.startsWith("image")).length}
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</Text>
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<MediaCacheOverlay
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photos={images}
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imgIndex={imgIndex}
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setImgIndex={setImgIndex}
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previewVisible={previewVisible}
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setPreviewVisible={setPreviewVisible}
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/>
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</View>
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);
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}
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async function getPhotos({ bodyshop, jobid, setImages }) {
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let localmediaserverhttp = bodyshop.localmediaserverhttp.trim();
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if (localmediaserverhttp.endsWith("/")) {
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localmediaserverhttp = localmediaserverhttp.slice(0, -1);
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}
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console.log(
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"🚀 ~ file: job-documents-local.component.jsx ~ line 78 ~ localmediaserverhttp",
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localmediaserverhttp
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);
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try {
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const imagesFetch = await cleanAxios.post(
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`${localmediaserverhttp}/jobs/list`,
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{
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jobid,
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},
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{ headers: { ims_token: bodyshop.localmediatoken } }
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);
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const normalizedImages = imagesFetch.data
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.filter((d) => d.type?.mime?.startsWith("image"))
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.map((d, idx) => {
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return {
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...d,
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// src: `${localmediaserverhttp}/${d.src}`,
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uri: `${localmediaserverhttp}${d.src}`,
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thumbUrl: `${localmediaserverhttp}${d.thumbnail}`,
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id: idx,
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};
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});
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setImages(normalizedImages);
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} catch (error) {
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Sentry.Native.captureException(error);
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Toast.show({
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type: "error",
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text1: `Error fetching photos.`,
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text2: JSON.stringify(error),
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});
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}
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}
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