chore(server,cli,web): housekeeping and stricter code style (#6751)
* add unicorn to eslint * fix lint errors for cli * fix merge * fix album name extraction * Update cli/src/commands/upload.command.ts Co-authored-by: Ben McCann <322311+benmccann@users.noreply.github.com> * es2k23 * use lowercase os * return undefined album name * fix bug in asset response dto * auto fix issues * fix server code style * es2022 and formatting * fix compilation error * fix test * fix config load * fix last lint errors * set string type * bump ts * start work on web * web formatting * Fix UUIDParamDto as UUIDParamDto * fix library service lint * fix web errors * fix errors * formatting * wip * lints fixed * web can now start * alphabetical package json * rename error * chore: clean up --------- Co-authored-by: Ben McCann <322311+benmccann@users.noreply.github.com> Co-authored-by: Jason Rasmussen <jrasm91@gmail.com>
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@@ -814,7 +814,7 @@ describe(PersonService.name, () => {
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}
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const faces = [
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{ face: faceStub.noPerson1, distance: 0.0 },
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{ face: faceStub.noPerson1, distance: 0 },
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{ face: faceStub.primaryFace1, distance: 0.2 },
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{ face: faceStub.noPerson2, distance: 0.3 },
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{ face: faceStub.face1, distance: 0.4 },
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@@ -843,7 +843,7 @@ describe(PersonService.name, () => {
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it('should create a new person if the face is a core point with no person', async () => {
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const faces = [
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{ face: faceStub.noPerson1, distance: 0.0 },
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{ face: faceStub.noPerson1, distance: 0 },
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{ face: faceStub.noPerson2, distance: 0.3 },
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] as FaceSearchResult[];
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@@ -867,7 +867,7 @@ describe(PersonService.name, () => {
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});
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it('should defer non-core faces to end of queue', async () => {
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const faces = [{ face: faceStub.noPerson1, distance: 0.0 }] as FaceSearchResult[];
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const faces = [{ face: faceStub.noPerson1, distance: 0 }] as FaceSearchResult[];
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configMock.load.mockResolvedValue([
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{ key: SystemConfigKey.MACHINE_LEARNING_FACIAL_RECOGNITION_MIN_FACES, value: 2 },
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@@ -888,7 +888,7 @@ describe(PersonService.name, () => {
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});
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it('should not assign person to non-core face with no matching person', async () => {
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const faces = [{ face: faceStub.noPerson1, distance: 0.0 }] as FaceSearchResult[];
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const faces = [{ face: faceStub.noPerson1, distance: 0 }] as FaceSearchResult[];
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configMock.load.mockResolvedValue([
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{ key: SystemConfigKey.MACHINE_LEARNING_FACIAL_RECOGNITION_MIN_FACES, value: 2 },
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