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fix: download nltk data somewhere a non-root UID can read (#28866)

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nltk.download picks the first entry of nltk.data.path that already exists and is
writable. None do here, so punkt_tab lands in /root/nltk_data, and /root is mode
0700. The corpus is then unreachable whenever the container does not run as
root:

    nltk.data.find('tokenizers/punkt_tab')
    LookupError: Resource punkt_tab not found.

/usr/local/share/nltk_data is already on nltk.data.path, so nothing changes at
the read side.

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
This commit is contained in:
Sebastian
2026-08-24 23:19:15 +02:00
committed by GitHub
parent ecad20b77f
commit 4d5084025f
1 changed files with 2 additions and 2 deletions
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@@ -149,7 +149,7 @@ RUN set -e; \
python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ.get('AUXILIARY_EMBEDDING_MODEL', 'TaylorAI/bge-micro-v2'), device='cpu')"; \ python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ.get('AUXILIARY_EMBEDDING_MODEL', 'TaylorAI/bge-micro-v2'), device='cpu')"; \
python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; \ python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; \
python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; \ python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; \
python -c "import nltk; nltk.download('punkt_tab')"; \ python -c "import nltk; nltk.download('punkt_tab', download_dir='/usr/local/share/nltk_data')"; \
else \ else \
pip3 install 'torch<=2.9.1' torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir; \ pip3 install 'torch<=2.9.1' torchvision torchaudio --index-url https://download.pytorch.org/whl/cpu --no-cache-dir; \
uv pip install --system -r requirements.txt --no-cache-dir; \ uv pip install --system -r requirements.txt --no-cache-dir; \
@@ -158,7 +158,7 @@ RUN set -e; \
python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ.get('AUXILIARY_EMBEDDING_MODEL', 'TaylorAI/bge-micro-v2'), device='cpu')"; \ python -c "import os; from sentence_transformers import SentenceTransformer; SentenceTransformer(os.environ.get('AUXILIARY_EMBEDDING_MODEL', 'TaylorAI/bge-micro-v2'), device='cpu')"; \
python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; \ python -c "import os; from faster_whisper import WhisperModel; WhisperModel(os.environ['WHISPER_MODEL'], device='cpu', compute_type='int8', download_root=os.environ['WHISPER_MODEL_DIR'])"; \
python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; \ python -c "import os; import tiktoken; tiktoken.get_encoding(os.environ['TIKTOKEN_ENCODING_NAME'])"; \
python -c "import nltk; nltk.download('punkt_tab')"; \ python -c "import nltk; nltk.download('punkt_tab', download_dir='/usr/local/share/nltk_data')"; \
fi; \ fi; \
fi; \ fi; \
mkdir -p /app/backend/data; chown -R $UID:$GID /app/backend/data/; \ mkdir -p /app/backend/data; chown -R $UID:$GID /app/backend/data/; \