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immich/server/src/domain/job/job.service.spec.ts

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import { SystemConfig, SystemConfigKey } from '@app/infra/entities';
import { BadRequestException } from '@nestjs/common';
import {
assetStub,
newAssetRepositoryMock,
newCommunicationRepositoryMock,
newJobRepositoryMock,
newPersonRepositoryMock,
newSystemConfigRepositoryMock,
} from '@test';
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import {
IAssetRepository,
ICommunicationRepository,
IJobRepository,
IPersonRepository,
ISystemConfigRepository,
JobHandler,
JobItem,
} from '../repositories';
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import { FeatureFlag, SystemConfigCore } from '../system-config/system-config.core';
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import { JobCommand, JobName, QueueName } from './job.constants';
import { JobService } from './job.service';
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const makeMockHandlers = (success: boolean) => {
const mock = jest.fn().mockResolvedValue(success);
return Object.fromEntries(Object.values(JobName).map((jobName) => [jobName, mock])) as unknown as Record<
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JobName,
JobHandler
>;
};
describe(JobService.name, () => {
let sut: JobService;
let assetMock: jest.Mocked<IAssetRepository>;
let configMock: jest.Mocked<ISystemConfigRepository>;
let communicationMock: jest.Mocked<ICommunicationRepository>;
let jobMock: jest.Mocked<IJobRepository>;
let personMock: jest.Mocked<IPersonRepository>;
beforeEach(async () => {
assetMock = newAssetRepositoryMock();
configMock = newSystemConfigRepositoryMock();
communicationMock = newCommunicationRepositoryMock();
jobMock = newJobRepositoryMock();
personMock = newPersonRepositoryMock();
sut = new JobService(assetMock, communicationMock, jobMock, configMock, personMock);
});
it('should work', () => {
expect(sut).toBeDefined();
});
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describe('handleNightlyJobs', () => {
it('should run the scheduled jobs', async () => {
await sut.handleNightlyJobs();
expect(jobMock.queueAll).toHaveBeenCalledWith([
{ name: JobName.ASSET_DELETION_CHECK },
{ name: JobName.USER_DELETE_CHECK },
{ name: JobName.PERSON_CLEANUP },
{ name: JobName.QUEUE_GENERATE_THUMBNAILS, data: { force: false } },
{ name: JobName.CLEAN_OLD_AUDIT_LOGS },
{ name: JobName.USER_SYNC_USAGE },
{ name: JobName.QUEUE_FACIAL_RECOGNITION, data: { force: false } },
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]);
});
});
describe('getAllJobStatus', () => {
it('should get all job statuses', async () => {
jobMock.getJobCounts.mockResolvedValue({
active: 1,
completed: 1,
failed: 1,
delayed: 1,
waiting: 1,
paused: 1,
});
jobMock.getQueueStatus.mockResolvedValue({
isActive: true,
isPaused: true,
});
const expectedJobStatus = {
jobCounts: {
active: 1,
completed: 1,
delayed: 1,
failed: 1,
waiting: 1,
paused: 1,
},
queueStatus: {
isActive: true,
isPaused: true,
},
};
await expect(sut.getAllJobsStatus()).resolves.toEqual({
[QueueName.BACKGROUND_TASK]: expectedJobStatus,
[QueueName.SMART_SEARCH]: expectedJobStatus,
[QueueName.METADATA_EXTRACTION]: expectedJobStatus,
[QueueName.SEARCH]: expectedJobStatus,
[QueueName.STORAGE_TEMPLATE_MIGRATION]: expectedJobStatus,
[QueueName.MIGRATION]: expectedJobStatus,
[QueueName.THUMBNAIL_GENERATION]: expectedJobStatus,
[QueueName.VIDEO_CONVERSION]: expectedJobStatus,
feat(server): separate face clustering job (#5598) * separate facial clustering job * update api * fixed some tests * invert clustering * hdbscan * update api * remove commented code * wip dbscan * cleanup removed cluster endpoint remove commented code * fixes updated tests minor fixes and formatting fixed queuing refinements * scale search range based on library size * defer non-core faces * optimizations removed unused query option * assign faces individually for correctness fixed unit tests remove unused method * don't select face embedding update sql linting fixed ml typing * updated job mock * paginate people query * select face embeddings because typeorm * fix setting face detection concurrency * update sql formatting linting * simplify logic remove unused imports * more specific delete signature * more accurate typing for face stubs * add migration formatting * chore: better typing * don't select embedding by default remove unused import * updated sql * use normal try/catch * stricter concurrency typing and enforcement * update api * update job concurrency panel to show disabled queues formatting * check jobId in queueAll fix tests * remove outdated comment * better facial recognition icon * wording wording formatting * fixed tests * fix * formatting & sql * try to fix sql check * more detailed description * update sql * formatting * wording * update `minFaces` description --------- Co-authored-by: Jason Rasmussen <jrasm91@gmail.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
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[QueueName.FACE_DETECTION]: expectedJobStatus,
[QueueName.FACIAL_RECOGNITION]: expectedJobStatus,
[QueueName.SIDECAR]: expectedJobStatus,
[QueueName.LIBRARY]: expectedJobStatus,
});
});
});
describe('handleCommand', () => {
it('should handle a pause command', async () => {
await sut.handleCommand(QueueName.METADATA_EXTRACTION, { command: JobCommand.PAUSE, force: false });
expect(jobMock.pause).toHaveBeenCalledWith(QueueName.METADATA_EXTRACTION);
});
it('should handle a resume command', async () => {
await sut.handleCommand(QueueName.METADATA_EXTRACTION, { command: JobCommand.RESUME, force: false });
expect(jobMock.resume).toHaveBeenCalledWith(QueueName.METADATA_EXTRACTION);
});
it('should handle an empty command', async () => {
await sut.handleCommand(QueueName.METADATA_EXTRACTION, { command: JobCommand.EMPTY, force: false });
expect(jobMock.empty).toHaveBeenCalledWith(QueueName.METADATA_EXTRACTION);
});
it('should not start a job that is already running', async () => {
jobMock.getQueueStatus.mockResolvedValue({ isActive: true, isPaused: false });
await expect(
sut.handleCommand(QueueName.VIDEO_CONVERSION, { command: JobCommand.START, force: false }),
).rejects.toBeInstanceOf(BadRequestException);
expect(jobMock.queue).not.toHaveBeenCalled();
expect(jobMock.queueAll).not.toHaveBeenCalled();
});
it('should handle a start video conversion command', async () => {
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
await sut.handleCommand(QueueName.VIDEO_CONVERSION, { command: JobCommand.START, force: false });
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_VIDEO_CONVERSION, data: { force: false } });
});
it('should handle a start storage template migration command', async () => {
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
await sut.handleCommand(QueueName.STORAGE_TEMPLATE_MIGRATION, { command: JobCommand.START, force: false });
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.STORAGE_TEMPLATE_MIGRATION });
});
it('should handle a start smart search command', async () => {
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
await sut.handleCommand(QueueName.SMART_SEARCH, { command: JobCommand.START, force: false });
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_SMART_SEARCH, data: { force: false } });
});
it('should handle a start metadata extraction command', async () => {
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
await sut.handleCommand(QueueName.METADATA_EXTRACTION, { command: JobCommand.START, force: false });
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_METADATA_EXTRACTION, data: { force: false } });
});
it('should handle a start sidecar command', async () => {
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
await sut.handleCommand(QueueName.SIDECAR, { command: JobCommand.START, force: false });
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_SIDECAR, data: { force: false } });
});
it('should handle a start thumbnail generation command', async () => {
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
await sut.handleCommand(QueueName.THUMBNAIL_GENERATION, { command: JobCommand.START, force: false });
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_GENERATE_THUMBNAILS, data: { force: false } });
});
feat(server): separate face clustering job (#5598) * separate facial clustering job * update api * fixed some tests * invert clustering * hdbscan * update api * remove commented code * wip dbscan * cleanup removed cluster endpoint remove commented code * fixes updated tests minor fixes and formatting fixed queuing refinements * scale search range based on library size * defer non-core faces * optimizations removed unused query option * assign faces individually for correctness fixed unit tests remove unused method * don't select face embedding update sql linting fixed ml typing * updated job mock * paginate people query * select face embeddings because typeorm * fix setting face detection concurrency * update sql formatting linting * simplify logic remove unused imports * more specific delete signature * more accurate typing for face stubs * add migration formatting * chore: better typing * don't select embedding by default remove unused import * updated sql * use normal try/catch * stricter concurrency typing and enforcement * update api * update job concurrency panel to show disabled queues formatting * check jobId in queueAll fix tests * remove outdated comment * better facial recognition icon * wording wording formatting * fixed tests * fix * formatting & sql * try to fix sql check * more detailed description * update sql * formatting * wording * update `minFaces` description --------- Co-authored-by: Jason Rasmussen <jrasm91@gmail.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
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it('should handle a start face detection command', async () => {
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
feat(server): separate face clustering job (#5598) * separate facial clustering job * update api * fixed some tests * invert clustering * hdbscan * update api * remove commented code * wip dbscan * cleanup removed cluster endpoint remove commented code * fixes updated tests minor fixes and formatting fixed queuing refinements * scale search range based on library size * defer non-core faces * optimizations removed unused query option * assign faces individually for correctness fixed unit tests remove unused method * don't select face embedding update sql linting fixed ml typing * updated job mock * paginate people query * select face embeddings because typeorm * fix setting face detection concurrency * update sql formatting linting * simplify logic remove unused imports * more specific delete signature * more accurate typing for face stubs * add migration formatting * chore: better typing * don't select embedding by default remove unused import * updated sql * use normal try/catch * stricter concurrency typing and enforcement * update api * update job concurrency panel to show disabled queues formatting * check jobId in queueAll fix tests * remove outdated comment * better facial recognition icon * wording wording formatting * fixed tests * fix * formatting & sql * try to fix sql check * more detailed description * update sql * formatting * wording * update `minFaces` description --------- Co-authored-by: Jason Rasmussen <jrasm91@gmail.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
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await sut.handleCommand(QueueName.FACE_DETECTION, { command: JobCommand.START, force: false });
feat(server): separate face clustering job (#5598) * separate facial clustering job * update api * fixed some tests * invert clustering * hdbscan * update api * remove commented code * wip dbscan * cleanup removed cluster endpoint remove commented code * fixes updated tests minor fixes and formatting fixed queuing refinements * scale search range based on library size * defer non-core faces * optimizations removed unused query option * assign faces individually for correctness fixed unit tests remove unused method * don't select face embedding update sql linting fixed ml typing * updated job mock * paginate people query * select face embeddings because typeorm * fix setting face detection concurrency * update sql formatting linting * simplify logic remove unused imports * more specific delete signature * more accurate typing for face stubs * add migration formatting * chore: better typing * don't select embedding by default remove unused import * updated sql * use normal try/catch * stricter concurrency typing and enforcement * update api * update job concurrency panel to show disabled queues formatting * check jobId in queueAll fix tests * remove outdated comment * better facial recognition icon * wording wording formatting * fixed tests * fix * formatting & sql * try to fix sql check * more detailed description * update sql * formatting * wording * update `minFaces` description --------- Co-authored-by: Jason Rasmussen <jrasm91@gmail.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
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expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_FACE_DETECTION, data: { force: false } });
});
it('should handle a start facial recognition command', async () => {
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
await sut.handleCommand(QueueName.FACIAL_RECOGNITION, { command: JobCommand.START, force: false });
expect(jobMock.queue).toHaveBeenCalledWith({ name: JobName.QUEUE_FACIAL_RECOGNITION, data: { force: false } });
});
it('should throw a bad request when an invalid queue is used', async () => {
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
await expect(
sut.handleCommand(QueueName.BACKGROUND_TASK, { command: JobCommand.START, force: false }),
).rejects.toBeInstanceOf(BadRequestException);
expect(jobMock.queue).not.toHaveBeenCalled();
expect(jobMock.queueAll).not.toHaveBeenCalled();
});
});
describe('init', () => {
it('should register a handler for each queue', async () => {
await sut.init(makeMockHandlers(true));
expect(configMock.load).toHaveBeenCalled();
expect(jobMock.addHandler).toHaveBeenCalledTimes(Object.keys(QueueName).length);
});
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it('should subscribe to config changes', async () => {
await sut.init(makeMockHandlers(false));
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SystemConfigCore.create(newSystemConfigRepositoryMock(false)).config$.next({
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job: {
[QueueName.BACKGROUND_TASK]: { concurrency: 10 },
[QueueName.SMART_SEARCH]: { concurrency: 10 },
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[QueueName.METADATA_EXTRACTION]: { concurrency: 10 },
feat(server): separate face clustering job (#5598) * separate facial clustering job * update api * fixed some tests * invert clustering * hdbscan * update api * remove commented code * wip dbscan * cleanup removed cluster endpoint remove commented code * fixes updated tests minor fixes and formatting fixed queuing refinements * scale search range based on library size * defer non-core faces * optimizations removed unused query option * assign faces individually for correctness fixed unit tests remove unused method * don't select face embedding update sql linting fixed ml typing * updated job mock * paginate people query * select face embeddings because typeorm * fix setting face detection concurrency * update sql formatting linting * simplify logic remove unused imports * more specific delete signature * more accurate typing for face stubs * add migration formatting * chore: better typing * don't select embedding by default remove unused import * updated sql * use normal try/catch * stricter concurrency typing and enforcement * update api * update job concurrency panel to show disabled queues formatting * check jobId in queueAll fix tests * remove outdated comment * better facial recognition icon * wording wording formatting * fixed tests * fix * formatting & sql * try to fix sql check * more detailed description * update sql * formatting * wording * update `minFaces` description --------- Co-authored-by: Jason Rasmussen <jrasm91@gmail.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
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[QueueName.FACE_DETECTION]: { concurrency: 10 },
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[QueueName.SEARCH]: { concurrency: 10 },
[QueueName.SIDECAR]: { concurrency: 10 },
[QueueName.LIBRARY]: { concurrency: 10 },
[QueueName.MIGRATION]: { concurrency: 10 },
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[QueueName.THUMBNAIL_GENERATION]: { concurrency: 10 },
[QueueName.VIDEO_CONVERSION]: { concurrency: 10 },
},
} as SystemConfig);
expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.BACKGROUND_TASK, 10);
expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.SMART_SEARCH, 10);
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expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.METADATA_EXTRACTION, 10);
feat(server): separate face clustering job (#5598) * separate facial clustering job * update api * fixed some tests * invert clustering * hdbscan * update api * remove commented code * wip dbscan * cleanup removed cluster endpoint remove commented code * fixes updated tests minor fixes and formatting fixed queuing refinements * scale search range based on library size * defer non-core faces * optimizations removed unused query option * assign faces individually for correctness fixed unit tests remove unused method * don't select face embedding update sql linting fixed ml typing * updated job mock * paginate people query * select face embeddings because typeorm * fix setting face detection concurrency * update sql formatting linting * simplify logic remove unused imports * more specific delete signature * more accurate typing for face stubs * add migration formatting * chore: better typing * don't select embedding by default remove unused import * updated sql * use normal try/catch * stricter concurrency typing and enforcement * update api * update job concurrency panel to show disabled queues formatting * check jobId in queueAll fix tests * remove outdated comment * better facial recognition icon * wording wording formatting * fixed tests * fix * formatting & sql * try to fix sql check * more detailed description * update sql * formatting * wording * update `minFaces` description --------- Co-authored-by: Jason Rasmussen <jrasm91@gmail.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
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expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.FACE_DETECTION, 10);
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expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.SIDECAR, 10);
expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.LIBRARY, 10);
expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.MIGRATION, 10);
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expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.THUMBNAIL_GENERATION, 10);
expect(jobMock.setConcurrency).toHaveBeenCalledWith(QueueName.VIDEO_CONVERSION, 10);
});
const tests: Array<{ item: JobItem; jobs: JobName[] }> = [
{
item: { name: JobName.SIDECAR_SYNC, data: { id: 'asset-1' } },
jobs: [JobName.METADATA_EXTRACTION],
},
{
item: { name: JobName.SIDECAR_DISCOVERY, data: { id: 'asset-1' } },
jobs: [JobName.METADATA_EXTRACTION],
},
{
item: { name: JobName.METADATA_EXTRACTION, data: { id: 'asset-1' } },
jobs: [JobName.LINK_LIVE_PHOTOS],
},
{
item: { name: JobName.LINK_LIVE_PHOTOS, data: { id: 'asset-1' } },
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jobs: [JobName.STORAGE_TEMPLATE_MIGRATION_SINGLE],
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},
{
item: { name: JobName.STORAGE_TEMPLATE_MIGRATION_SINGLE, data: { id: 'asset-1', source: 'upload' } },
jobs: [JobName.GENERATE_JPEG_THUMBNAIL],
},
{
item: { name: JobName.STORAGE_TEMPLATE_MIGRATION_SINGLE, data: { id: 'asset-1' } },
jobs: [],
},
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{
item: { name: JobName.GENERATE_PERSON_THUMBNAIL, data: { id: 'asset-1' } },
jobs: [],
},
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{
item: { name: JobName.GENERATE_JPEG_THUMBNAIL, data: { id: 'asset-1' } },
jobs: [
JobName.GENERATE_WEBP_THUMBNAIL,
JobName.GENERATE_THUMBHASH_THUMBNAIL,
JobName.SMART_SEARCH,
feat(server): separate face clustering job (#5598) * separate facial clustering job * update api * fixed some tests * invert clustering * hdbscan * update api * remove commented code * wip dbscan * cleanup removed cluster endpoint remove commented code * fixes updated tests minor fixes and formatting fixed queuing refinements * scale search range based on library size * defer non-core faces * optimizations removed unused query option * assign faces individually for correctness fixed unit tests remove unused method * don't select face embedding update sql linting fixed ml typing * updated job mock * paginate people query * select face embeddings because typeorm * fix setting face detection concurrency * update sql formatting linting * simplify logic remove unused imports * more specific delete signature * more accurate typing for face stubs * add migration formatting * chore: better typing * don't select embedding by default remove unused import * updated sql * use normal try/catch * stricter concurrency typing and enforcement * update api * update job concurrency panel to show disabled queues formatting * check jobId in queueAll fix tests * remove outdated comment * better facial recognition icon * wording wording formatting * fixed tests * fix * formatting & sql * try to fix sql check * more detailed description * update sql * formatting * wording * update `minFaces` description --------- Co-authored-by: Jason Rasmussen <jrasm91@gmail.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
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JobName.FACE_DETECTION,
],
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},
{
item: { name: JobName.GENERATE_JPEG_THUMBNAIL, data: { id: 'asset-1', source: 'upload' } },
jobs: [
JobName.GENERATE_WEBP_THUMBNAIL,
JobName.GENERATE_THUMBHASH_THUMBNAIL,
JobName.SMART_SEARCH,
feat(server): separate face clustering job (#5598) * separate facial clustering job * update api * fixed some tests * invert clustering * hdbscan * update api * remove commented code * wip dbscan * cleanup removed cluster endpoint remove commented code * fixes updated tests minor fixes and formatting fixed queuing refinements * scale search range based on library size * defer non-core faces * optimizations removed unused query option * assign faces individually for correctness fixed unit tests remove unused method * don't select face embedding update sql linting fixed ml typing * updated job mock * paginate people query * select face embeddings because typeorm * fix setting face detection concurrency * update sql formatting linting * simplify logic remove unused imports * more specific delete signature * more accurate typing for face stubs * add migration formatting * chore: better typing * don't select embedding by default remove unused import * updated sql * use normal try/catch * stricter concurrency typing and enforcement * update api * update job concurrency panel to show disabled queues formatting * check jobId in queueAll fix tests * remove outdated comment * better facial recognition icon * wording wording formatting * fixed tests * fix * formatting & sql * try to fix sql check * more detailed description * update sql * formatting * wording * update `minFaces` description --------- Co-authored-by: Jason Rasmussen <jrasm91@gmail.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
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JobName.FACE_DETECTION,
JobName.VIDEO_CONVERSION,
],
},
{
item: { name: JobName.GENERATE_JPEG_THUMBNAIL, data: { id: 'asset-live-image', source: 'upload' } },
jobs: [
JobName.GENERATE_WEBP_THUMBNAIL,
JobName.GENERATE_THUMBHASH_THUMBNAIL,
JobName.SMART_SEARCH,
feat(server): separate face clustering job (#5598) * separate facial clustering job * update api * fixed some tests * invert clustering * hdbscan * update api * remove commented code * wip dbscan * cleanup removed cluster endpoint remove commented code * fixes updated tests minor fixes and formatting fixed queuing refinements * scale search range based on library size * defer non-core faces * optimizations removed unused query option * assign faces individually for correctness fixed unit tests remove unused method * don't select face embedding update sql linting fixed ml typing * updated job mock * paginate people query * select face embeddings because typeorm * fix setting face detection concurrency * update sql formatting linting * simplify logic remove unused imports * more specific delete signature * more accurate typing for face stubs * add migration formatting * chore: better typing * don't select embedding by default remove unused import * updated sql * use normal try/catch * stricter concurrency typing and enforcement * update api * update job concurrency panel to show disabled queues formatting * check jobId in queueAll fix tests * remove outdated comment * better facial recognition icon * wording wording formatting * fixed tests * fix * formatting & sql * try to fix sql check * more detailed description * update sql * formatting * wording * update `minFaces` description --------- Co-authored-by: Jason Rasmussen <jrasm91@gmail.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
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JobName.FACE_DETECTION,
JobName.VIDEO_CONVERSION,
],
},
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{
item: { name: JobName.SMART_SEARCH, data: { id: 'asset-1' } },
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jobs: [],
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},
{
feat(server): separate face clustering job (#5598) * separate facial clustering job * update api * fixed some tests * invert clustering * hdbscan * update api * remove commented code * wip dbscan * cleanup removed cluster endpoint remove commented code * fixes updated tests minor fixes and formatting fixed queuing refinements * scale search range based on library size * defer non-core faces * optimizations removed unused query option * assign faces individually for correctness fixed unit tests remove unused method * don't select face embedding update sql linting fixed ml typing * updated job mock * paginate people query * select face embeddings because typeorm * fix setting face detection concurrency * update sql formatting linting * simplify logic remove unused imports * more specific delete signature * more accurate typing for face stubs * add migration formatting * chore: better typing * don't select embedding by default remove unused import * updated sql * use normal try/catch * stricter concurrency typing and enforcement * update api * update job concurrency panel to show disabled queues formatting * check jobId in queueAll fix tests * remove outdated comment * better facial recognition icon * wording wording formatting * fixed tests * fix * formatting & sql * try to fix sql check * more detailed description * update sql * formatting * wording * update `minFaces` description --------- Co-authored-by: Jason Rasmussen <jrasm91@gmail.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
2024-01-18 06:08:48 +01:00
item: { name: JobName.FACE_DETECTION, data: { id: 'asset-1' } },
jobs: [],
feat(server): separate face clustering job (#5598) * separate facial clustering job * update api * fixed some tests * invert clustering * hdbscan * update api * remove commented code * wip dbscan * cleanup removed cluster endpoint remove commented code * fixes updated tests minor fixes and formatting fixed queuing refinements * scale search range based on library size * defer non-core faces * optimizations removed unused query option * assign faces individually for correctness fixed unit tests remove unused method * don't select face embedding update sql linting fixed ml typing * updated job mock * paginate people query * select face embeddings because typeorm * fix setting face detection concurrency * update sql formatting linting * simplify logic remove unused imports * more specific delete signature * more accurate typing for face stubs * add migration formatting * chore: better typing * don't select embedding by default remove unused import * updated sql * use normal try/catch * stricter concurrency typing and enforcement * update api * update job concurrency panel to show disabled queues formatting * check jobId in queueAll fix tests * remove outdated comment * better facial recognition icon * wording wording formatting * fixed tests * fix * formatting & sql * try to fix sql check * more detailed description * update sql * formatting * wording * update `minFaces` description --------- Co-authored-by: Jason Rasmussen <jrasm91@gmail.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
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},
{
item: { name: JobName.FACIAL_RECOGNITION, data: { id: 'asset-1' } },
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jobs: [],
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},
];
for (const { item, jobs } of tests) {
it(`should queue ${jobs.length} jobs when a ${item.name} job finishes successfully`, async () => {
if (item.name === JobName.GENERATE_JPEG_THUMBNAIL && item.data.source === 'upload') {
if (item.data.id === 'asset-live-image') {
assetMock.getByIds.mockResolvedValue([assetStub.livePhotoStillAsset]);
} else {
assetMock.getByIds.mockResolvedValue([assetStub.livePhotoMotionAsset]);
}
} else {
assetMock.getByIds.mockResolvedValue([]);
}
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await sut.init(makeMockHandlers(true));
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await jobMock.addHandler.mock.calls[0][2](item);
if (jobs.length > 1) {
expect(jobMock.queueAll).toHaveBeenCalledWith(
jobs.map((jobName) => ({ name: jobName, data: expect.anything() })),
);
} else {
expect(jobMock.queue).toHaveBeenCalledTimes(jobs.length);
for (const jobName of jobs) {
expect(jobMock.queue).toHaveBeenCalledWith({ name: jobName, data: expect.anything() });
}
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}
});
it(`should not queue any jobs when ${item.name} finishes with 'false'`, async () => {
await sut.init(makeMockHandlers(false));
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await jobMock.addHandler.mock.calls[0][2](item);
expect(jobMock.queueAll).not.toHaveBeenCalled();
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});
}
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const featureTests: Array<{ queue: QueueName; feature: FeatureFlag; configKey: SystemConfigKey }> = [
{
queue: QueueName.SMART_SEARCH,
feature: FeatureFlag.SMART_SEARCH,
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configKey: SystemConfigKey.MACHINE_LEARNING_CLIP_ENABLED,
},
{
feat(server): separate face clustering job (#5598) * separate facial clustering job * update api * fixed some tests * invert clustering * hdbscan * update api * remove commented code * wip dbscan * cleanup removed cluster endpoint remove commented code * fixes updated tests minor fixes and formatting fixed queuing refinements * scale search range based on library size * defer non-core faces * optimizations removed unused query option * assign faces individually for correctness fixed unit tests remove unused method * don't select face embedding update sql linting fixed ml typing * updated job mock * paginate people query * select face embeddings because typeorm * fix setting face detection concurrency * update sql formatting linting * simplify logic remove unused imports * more specific delete signature * more accurate typing for face stubs * add migration formatting * chore: better typing * don't select embedding by default remove unused import * updated sql * use normal try/catch * stricter concurrency typing and enforcement * update api * update job concurrency panel to show disabled queues formatting * check jobId in queueAll fix tests * remove outdated comment * better facial recognition icon * wording wording formatting * fixed tests * fix * formatting & sql * try to fix sql check * more detailed description * update sql * formatting * wording * update `minFaces` description --------- Co-authored-by: Jason Rasmussen <jrasm91@gmail.com> Co-authored-by: Alex Tran <alex.tran1502@gmail.com>
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queue: QueueName.FACE_DETECTION,
feature: FeatureFlag.FACIAL_RECOGNITION,
configKey: SystemConfigKey.MACHINE_LEARNING_FACIAL_RECOGNITION_ENABLED,
},
{
queue: QueueName.FACIAL_RECOGNITION,
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feature: FeatureFlag.FACIAL_RECOGNITION,
configKey: SystemConfigKey.MACHINE_LEARNING_FACIAL_RECOGNITION_ENABLED,
},
];
for (const { queue, feature, configKey } of featureTests) {
it(`should throw an error if attempting to queue ${queue} when ${feature} is disabled`, async () => {
configMock.load.mockResolvedValue([{ key: configKey, value: false }]);
jobMock.getQueueStatus.mockResolvedValue({ isActive: false, isPaused: false });
await expect(sut.handleCommand(queue, { command: JobCommand.START, force: false })).rejects.toThrow();
});
}
});
});