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feat(server): separate face clustering job (#5598)

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* 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* remove outdated comment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>
This commit is contained in:
Mert 2024-01-18 00:08:48 -05:00 • committed by GitHub
parent 44873b4224
commit 68f52818ae
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57 changed files with 1081 additions and 631 deletions
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9
mobile/openapi/lib/model/job_name.dart generated
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@ -26,7 +26,8 @@ class JobName {
static const thumbnailGeneration = JobName._(r'thumbnailGeneration');
static const metadataExtraction = JobName._(r'metadataExtraction');
static const videoConversion = JobName._(r'videoConversion');
static const recognizeFaces = JobName._(r'recognizeFaces');
static const faceDetection = JobName._(r'faceDetection');
static const facialRecognition = JobName._(r'facialRecognition');
static const smartSearch = JobName._(r'smartSearch');
static const backgroundTask = JobName._(r'backgroundTask');
static const storageTemplateMigration = JobName._(r'storageTemplateMigration');
@ -40,7 +41,8 @@ class JobName {
thumbnailGeneration,
metadataExtraction,
videoConversion,
recognizeFaces,
faceDetection,
facialRecognition,
smartSearch,
backgroundTask,
storageTemplateMigration,
@ -89,7 +91,8 @@ class JobNameTypeTransformer {
case r'thumbnailGeneration': return JobName.thumbnailGeneration;
case r'metadataExtraction': return JobName.metadataExtraction;
case r'videoConversion': return JobName.videoConversion;
case r'recognizeFaces': return JobName.recognizeFaces;
case r'faceDetection': return JobName.faceDetection;
case r'facialRecognition': return JobName.facialRecognition;
case r'smartSearch': return JobName.smartSearch;
case r'backgroundTask': return JobName.backgroundTask;
case r'storageTemplateMigration': return JobName.storageTemplateMigration;