Create Dockerfile
Browse files- Dockerfile +89 -0
Dockerfile
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| 1 |
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# Use your base image
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| 2 |
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FROM python:3.13
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# Set Hugging Face Space environment flag
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#ENV HF_SPACE=1
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# Set environment variables for runtime directories
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ENV CHROMADB_PATH=/data/chroma_db
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ENV LOG_DIR=/data/logs
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ENV DEBUG_DIR=/data/debug
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ENV CACHE_DIR=/data/cache
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ENV HF_HOME=/data/cache/huggingface
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ENV DATA_DIR=/data
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# Create necessary directories as root
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RUN mkdir -p /data/chroma_db && \
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mkdir -p /data/logs && \
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mkdir -p /data/debug && \
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mkdir -p /data/cache/huggingface
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# Set up the user after creating directories
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RUN useradd -m -u 1000 user
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# # Add user to staff group to access /data
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RUN usermod -a -G staff user
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# # Make directories writable by the staff group
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RUN chown -R root:staff /data && \
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chmod -R g+w /data
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# Switch to the "user" user
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USER user
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# Set home to the user's home directory
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:$PATH
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# Set working directory
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WORKDIR /code
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# Copy requirements file and install dependencies
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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COPY . .
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ARG HF_API_KEY
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ENV HUGGINGFACE_HUB_TOKEN=$HF_API_KEY
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RUN python -c "\
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from huggingface_hub import snapshot_download; \
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snapshot_download(repo_id='rressler/au_advisor_db', repo_type='model', local_dir='/data')"
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RUN ls -lah /data/chroma_db && \
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find /data/chroma_db -type f -exec ls -lah {} \; && \
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echo "Total size of chroma_db directory:" && \
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du -sh /data/chroma_db
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# RUN ls -R /data/chroma_db
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# Create a symbolic link so the code can find the database in expected location
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RUN mkdir -p /code/data && \
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ln -s /data/chroma_db /code/data/chroma_db && \
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ln -s /data/logs /code/data/logs && \
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ln -s /data/debug /code/data/debug
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RUN ls -la /code/data && \
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readlink -f /code/data/chroma_db && \
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echo "Expected path: /data/chroma_db" && \
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find /code/data/chroma_db -type f | head -5 && \
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echo "------" && \
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find /data/chroma_db -type f | head -5
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RUN python -c "\
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import chromadb; \
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client = chromadb.PersistentClient(path='/code/data/chroma_db'); \
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collections = client.list_collections(); \
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print(f'✅ Found collections: {[c.name for c in collections]}'); \
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col = client.get_or_create_collection('documents'); \
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docs = col.get(); \
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print(f'📄 Document count: {len(docs[\"ids\"])}'); \
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print(f'🔍 Sample IDs: {docs[\"ids\"][:5]}') \
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"
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# Expose port 7860 - this is the port Hugging Face Spaces expects
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| 86 |
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EXPOSE 7860
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| 87 |
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# Command to run the Shiny application
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| 89 |
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CMD ["shiny", "run", "app.py", "--host", "0.0.0.0", "--port", "7860"]
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