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chore(deps): bump the minor-and-patch group across 1 directory with 8 updates #148

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chore(deps): bump the minor-and-patch group across 1 directory with 8 updates #148

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18 changes: 9 additions & 9 deletions nlp-service/requirements.txt
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Original file line number Diff line number Diff line change
@@ -1,30 +1,30 @@
# Kompl v2 nlp-service — commit 4. Pins per docs/research/2026-04-08-conversion-deps.md
# and docs/research/2026-04-09-llm-compile.md.
fastapi==0.136.1
uvicorn[standard]==0.47.0
fastapi==0.137.0
uvicorn[standard]==0.49.0
pydantic==2.13.4
httpx==0.28.1
markitdown[all]==0.1.5
markitdown[all]==0.1.6
# Promoted to a direct dep so routers/conversion.py can call
# youtube-transcript-api WITHOUT going through MarkItDown for YouTube URLs.
# Reason: MarkItDown's YouTubeConverter silently falls back to scraping the
# watch-page HTML when no transcript exists (returns ~800 chars of footer
# chrome — verified live on session 4a00f339). We need the transcript-vs-no-
# transcript signal explicitly, which only the direct API exposes.
# markitdown[all]==0.1.5 constrains ~=1.0.0; Dockerfile upgrades to 1.2.x
# markitdown[all]==0.1.6 constrains ~=1.0.0; Dockerfile upgrades to 1.2.x
# after pip install (1.0.x breaks on current YouTube timedtext responses).
youtube-transcript-api~=1.0.0
# Commit 4: LLM compile. Use google-genai NOT google-generativeai (deprecated 2025-Q1).
google-genai==2.4.0
google-genai==2.8.0
# Commit 4: async token-bucket rate limiter. Single uvicorn worker only —
# InMemoryBucket is process-local; see research artifact section 3.
pyrate-limiter==3.7.0
pyrate-limiter==3.9.0
# Part 2a: multi-layer NLP extraction pipeline.
spacy==3.8.14
rake-nltk==1.0.6
yake==0.7.3
keybert==0.9.0
sentence-transformers==5.5.0
sentence-transformers==5.5.1
# Dockerfile pins torch==2.6.0 (CPU wheel). torch 2.5.1 breaks transformers
# 5.x imports; torch >=2.7 breaks sentence-transformers meta-device init
# (NotImplementedError on .to(device)).
Expand All @@ -33,7 +33,7 @@ sentence-transformers==5.5.0
transformers==5.9.0
# pytextrank: spaCy-native TextRank component (PyPI-available, no git dep).
pytextrank==3.3.0
scikit-learn==1.8.0
scikit-learn==1.9.0
# nltk: required by rake-nltk (stopwords + punkt tokenizer data).
nltk==3.9.4
# Part 2b: fast Levenshtein/Jaro-Winkler matching for entity resolution.
Expand All @@ -48,5 +48,5 @@ chromadb==0.4.24
# NumPy 2.0 removed. Pin numpy<2 until chromadb is upgraded.
numpy<2
# Testing
pytest==9.0.3
pytest==9.1.0
pytest-mock==3.15.1