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feat(server/web) Add manual job trigger mechanism to the web (#767)
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138
web/src/lib/components/admin-page/jobs/jobs-panel.svelte
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138
web/src/lib/components/admin-page/jobs/jobs-panel.svelte
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<script lang="ts">
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import {
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notificationController,
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NotificationType
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} from '$lib/components/shared-components/notification/notification';
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import { AllJobStatusResponseDto, api, JobCommand, JobId } from '@api';
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import { onDestroy, onMount } from 'svelte';
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import JobTile from './job-tile.svelte';
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let allJobsStatus: AllJobStatusResponseDto;
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let setIntervalHandler: NodeJS.Timer;
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onMount(async () => {
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const { data } = await api.jobApi.getAllJobsStatus();
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allJobsStatus = data;
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setIntervalHandler = setInterval(async () => {
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const { data } = await api.jobApi.getAllJobsStatus();
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allJobsStatus = data;
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}, 1000);
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});
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1;
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onDestroy(() => {
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clearInterval(setIntervalHandler);
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});
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const runThumbnailGeneration = async () => {
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try {
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const { data } = await api.jobApi.sendJobCommand(JobId.ThumbnailGeneration, {
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command: JobCommand.Start
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});
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if (data) {
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notificationController.show({
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message: `Thumbnail generation job started for ${data} asset`,
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type: NotificationType.Info
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});
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} else {
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notificationController.show({
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message: `No missing thumbnails found`,
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type: NotificationType.Info
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});
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}
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} catch (e) {
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console.log('[ERROR] runThumbnailGeneration', e);
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notificationController.show({
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message: `Error running thumbnail generation job, check console for more detail`,
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type: NotificationType.Error
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});
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}
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};
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const runExtractEXIF = async () => {
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try {
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const { data } = await api.jobApi.sendJobCommand(JobId.MetadataExtraction, {
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command: JobCommand.Start
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});
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if (data) {
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notificationController.show({
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message: `Extract EXIF job started for ${data} asset`,
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type: NotificationType.Info
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});
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} else {
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notificationController.show({
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message: `No missing EXIF found`,
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type: NotificationType.Info
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});
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}
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} catch (e) {
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console.log('[ERROR] runExtractEXIF', e);
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notificationController.show({
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message: `Error running extract EXIF job, check console for more detail`,
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type: NotificationType.Error
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});
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}
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};
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const runMachineLearning = async () => {
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try {
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const { data } = await api.jobApi.sendJobCommand(JobId.MachineLearning, {
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command: JobCommand.Start
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});
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if (data) {
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notificationController.show({
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message: `Object detection job started for ${data} asset`,
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type: NotificationType.Info
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});
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} else {
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notificationController.show({
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message: `No missing object detection found`,
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type: NotificationType.Info
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});
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}
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} catch (e) {
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console.log('[ERROR] runMachineLearning', e);
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notificationController.show({
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message: `Error running machine learning job, check console for more detail`,
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type: NotificationType.Error
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});
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}
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};
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</script>
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<div class="flex flex-col gap-6">
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<JobTile
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title={'Generate thumbnails'}
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subtitle={'Regenerate missing thumbnail (JPEG, WEBP)'}
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on:click={runThumbnailGeneration}
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jobStatus={allJobsStatus?.isThumbnailGenerationActive}
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waitingJobCount={allJobsStatus?.thumbnailGenerationQueueCount.waiting}
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activeJobCount={allJobsStatus?.thumbnailGenerationQueueCount.active}
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/>
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<JobTile
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title={'Extract EXIF'}
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subtitle={'Extract missing EXIF information'}
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on:click={runExtractEXIF}
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jobStatus={allJobsStatus?.isMetadataExtractionActive}
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waitingJobCount={allJobsStatus?.metadataExtractionQueueCount.waiting}
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activeJobCount={allJobsStatus?.metadataExtractionQueueCount.active}
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/>
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<JobTile
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title={'Detect objects'}
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subtitle={'Run machine learning process to detect and classify objects'}
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on:click={runMachineLearning}
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jobStatus={allJobsStatus?.isMachineLearningActive}
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waitingJobCount={allJobsStatus?.machineLearningQueueCount.waiting}
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activeJobCount={allJobsStatus?.machineLearningQueueCount.active}
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>
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Note that some asset does not have any object detected, this is normal.
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</JobTile>
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</div>
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