feat(server/web) Add manual job trigger mechanism to the web (#767)

This commit is contained in:
Alex
2022-10-06 11:25:54 -05:00
committed by GitHub
parent 854c214bc0
commit 7587f858ae
75 changed files with 3052 additions and 238 deletions

View File

@@ -0,0 +1,138 @@
<script lang="ts">
import {
notificationController,
NotificationType
} from '$lib/components/shared-components/notification/notification';
import { AllJobStatusResponseDto, api, JobCommand, JobId } from '@api';
import { onDestroy, onMount } from 'svelte';
import JobTile from './job-tile.svelte';
let allJobsStatus: AllJobStatusResponseDto;
let setIntervalHandler: NodeJS.Timer;
onMount(async () => {
const { data } = await api.jobApi.getAllJobsStatus();
allJobsStatus = data;
setIntervalHandler = setInterval(async () => {
const { data } = await api.jobApi.getAllJobsStatus();
allJobsStatus = data;
}, 1000);
});
1;
onDestroy(() => {
clearInterval(setIntervalHandler);
});
const runThumbnailGeneration = async () => {
try {
const { data } = await api.jobApi.sendJobCommand(JobId.ThumbnailGeneration, {
command: JobCommand.Start
});
if (data) {
notificationController.show({
message: `Thumbnail generation job started for ${data} asset`,
type: NotificationType.Info
});
} else {
notificationController.show({
message: `No missing thumbnails found`,
type: NotificationType.Info
});
}
} catch (e) {
console.log('[ERROR] runThumbnailGeneration', e);
notificationController.show({
message: `Error running thumbnail generation job, check console for more detail`,
type: NotificationType.Error
});
}
};
const runExtractEXIF = async () => {
try {
const { data } = await api.jobApi.sendJobCommand(JobId.MetadataExtraction, {
command: JobCommand.Start
});
if (data) {
notificationController.show({
message: `Extract EXIF job started for ${data} asset`,
type: NotificationType.Info
});
} else {
notificationController.show({
message: `No missing EXIF found`,
type: NotificationType.Info
});
}
} catch (e) {
console.log('[ERROR] runExtractEXIF', e);
notificationController.show({
message: `Error running extract EXIF job, check console for more detail`,
type: NotificationType.Error
});
}
};
const runMachineLearning = async () => {
try {
const { data } = await api.jobApi.sendJobCommand(JobId.MachineLearning, {
command: JobCommand.Start
});
if (data) {
notificationController.show({
message: `Object detection job started for ${data} asset`,
type: NotificationType.Info
});
} else {
notificationController.show({
message: `No missing object detection found`,
type: NotificationType.Info
});
}
} catch (e) {
console.log('[ERROR] runMachineLearning', e);
notificationController.show({
message: `Error running machine learning job, check console for more detail`,
type: NotificationType.Error
});
}
};
</script>
<div class="flex flex-col gap-6">
<JobTile
title={'Generate thumbnails'}
subtitle={'Regenerate missing thumbnail (JPEG, WEBP)'}
on:click={runThumbnailGeneration}
jobStatus={allJobsStatus?.isThumbnailGenerationActive}
waitingJobCount={allJobsStatus?.thumbnailGenerationQueueCount.waiting}
activeJobCount={allJobsStatus?.thumbnailGenerationQueueCount.active}
/>
<JobTile
title={'Extract EXIF'}
subtitle={'Extract missing EXIF information'}
on:click={runExtractEXIF}
jobStatus={allJobsStatus?.isMetadataExtractionActive}
waitingJobCount={allJobsStatus?.metadataExtractionQueueCount.waiting}
activeJobCount={allJobsStatus?.metadataExtractionQueueCount.active}
/>
<JobTile
title={'Detect objects'}
subtitle={'Run machine learning process to detect and classify objects'}
on:click={runMachineLearning}
jobStatus={allJobsStatus?.isMachineLearningActive}
waitingJobCount={allJobsStatus?.machineLearningQueueCount.waiting}
activeJobCount={allJobsStatus?.machineLearningQueueCount.active}
>
Note that some asset does not have any object detected, this is normal.
</JobTile>
</div>