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Update Dockerfile
Browse files- Dockerfile +14 -26
Dockerfile
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@@ -4,6 +4,7 @@ FROM python:3.10-slim
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WORKDIR /app
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# --- Install System Dependencies ---
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RUN apt-get update && apt-get install -y --no-install-recommends \
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git \
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r-base \
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@@ -11,46 +12,33 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
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&& rm -rf /var/lib/apt/lists/*
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# --- Install R Packages ---
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# --- Python Setup ---
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RUN pip install --upgrade pip
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# --- Application Code ---
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RUN --mount=type=secret,id=GITHUB_TOKEN,mode=0444,required=true \
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git clone https://x-access-token:$(cat /run/secrets/GITHUB_TOKEN)@github.com/leoncool23/pdpredict.git . \
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|| (echo "GIT CLONE FAILED!" && exit 1)
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RUN echo "--- Listing files in /app after clone ---" && ls -la /app
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# --- Install Python Dependencies ---
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echo "ERROR: requirements.txt not found!"; exit 1; \
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fi
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RUN pip install --no-cache-dir -r requirements.txt \
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|| (echo "PIP INSTALL FAILED!" && exit 1)
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# ---
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&& Rscript -e "library(randomForest)" \
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|| (echo "ERROR: Failed to load randomForest R library" && exit 1)
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RUN echo "--- Testing rpy2 import ---" \
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&& python -c "import rpy2.robjects; print('rpy2 import OK')" \
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|| (echo "ERROR: Failed to import rpy2 in Python" && exit 1)
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# --- DEBUG: Try importing the 'api' module directly with Python ---
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# This will execute the module-level code in api.py and show any import-time errors
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RUN echo "--- Attempting Python import of 'api' module ---" \
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&& python -c "import api; print('SUCCESS: Python successfully imported api module')" \
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|| (echo "ERROR: Python failed to import the 'api' module. Check traceback above." && exit 1)
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# Set permissions
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RUN chmod -R 755 /app
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# --- DEBUG: List files right before CMD ---
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RUN echo "--- Listing files in /app before CMD ---" && ls -la /app
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# --- Port and Run Command ---
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EXPOSE 8000
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WORKDIR /app
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# --- Install System Dependencies ---
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# Includes git (for cloning), R, and R development tools
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RUN apt-get update && apt-get install -y --no-install-recommends \
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git \
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r-base \
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&& rm -rf /var/lib/apt/lists/*
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# --- Install R Packages ---
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# Install the R packages required by your model (adjust if needed)
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RUN Rscript -e "install.packages(c('randomForest'), repos='https://cloud.r-project.org/', dependencies=TRUE)"
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# --- Python Setup ---
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# Upgrade pip
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RUN pip install --upgrade pip
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# --- Application Code ---
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# Clone private repository using mounted secret
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# Assumes app.py, requirements.txt, rf_model.rds are in the repo root
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RUN --mount=type=secret,id=GITHUB_TOKEN,mode=0444,required=true \
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git clone https://x-access-token:$(cat /run/secrets/GITHUB_TOKEN)@github.com/leoncool23/pdpredict.git . \
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|| (echo "GIT CLONE FAILED!" && exit 1)
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# --- Install Python Dependencies ---
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# Install Python requirements from file cloned via git
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RUN pip install --no-cache-dir -r requirements.txt \
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|| (echo "PIP INSTALL FAILED!" && exit 1)
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# --- Permissions ---
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# Optional, but can help prevent permission issues in some environments
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RUN chmod -R 755 /app
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# --- Port and Run Command ---
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# Expose the port (Using 8000, change to 7860 if required by Hugging Face Spaces)
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EXPOSE 8000
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# Run the FastAPI app defined in app.py (app:app) using uvicorn
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# Using port 8000, change to 7860 if required by Hugging Face Spaces
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]
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