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Merge branch 'main' into anydoc-support
Conflicts, and how each was taken: - application/core/settings.py — ours. The renamed OCR_ENABLED / OCR_ATTACHMENTS_ENABLED / OCR_MIN_CHARS_PER_PAGE accept main's DOCLING_OCR_* spellings as AliasChoices, so nothing is dropped. - application/Dockerfile — both. Main's install layers plus the INSTALL_DOCLING build arg. - application/parser/file/constants.py — both imports. - deployment/docker-compose.yaml — both. The INSTALL_DOCLING / INSTALL_TESSERACT build args on backend and worker, and main's -Q docsgpt,parsing,embeddings, which query embedding needs. - tests/conftest.py — theirs. Both sides fixed the same pytest-postgresql 9.0.0 autocommit= breakage; main's spelling is the one already on main. - application/requirements.txt — the comments claimed different reasons torch is in core. Main's is the true one now: it removed sentence-transformers, so docling is torch's only remaining consumer. Two things the merge broke without conflicting: - onnxruntime. This branch moved it out of core into the docling extra; main meanwhile made it the runtime local embeddings execute on (fastembed). Git took the deletion, leaving fastembed with no pinned runtime in a repo that pins everything. Restored to core, and no longer pinned twice from the extra. - The frontend copy of ATTACHMENT_PARSER_EXTENSIONS. The backend list is derived and picked up the anydoc suffixes; the hand-kept frontend mirror did not, so the composer would refuse files the API accepts. tests/parser/file/test_constants.py is what caught it. ruff, pytest (9897 passed), frontend build and docs build all pass. The image build is unverified: no Docker daemon on this machine.
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@@ -55,10 +55,13 @@ services:
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args:
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INSTALL_DOCLING: ${INSTALL_DOCLING:-false}
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INSTALL_TESSERACT: ${INSTALL_TESSERACT:-false}
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# Consumes the default queue AND the dedicated `parsing` queue (read_document /
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# parse_document). Without `parsing` here the read_document await never resolves.
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# For heavy/OCR parsing run a separate worker with `-Q parsing`.
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command: celery -A application.app.celery worker -l INFO -B -Q docsgpt,parsing
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# Consumes the default queue AND the dedicated `parsing` (read_document /
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# parse_document) and `embeddings` (query embedding) queues. Without `parsing`
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# the read_document await never resolves; without `embeddings` every search
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# fails after EMBEDDINGS_DELEGATE_TIMEOUT, because EMBEDDINGS_DELEGATE_TO_WORKER
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# is on by default. For heavy/OCR parsing run a separate worker with `-Q parsing`;
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# to keep query latency off the ingest pool, another with `-Q embeddings`.
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command: celery -A application.app.celery worker -l INFO -B -Q docsgpt,parsing,embeddings
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env_file:
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- ../.env
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environment:
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