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Update Dockerfile
Browse files- Dockerfile +26 -27
Dockerfile
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@@ -1,45 +1,44 @@
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# syntax=docker/dockerfile:1.4
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FROM python:3.10-slim
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WORKDIR /app
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#
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RUN apt-get update && apt-get install -y
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git \
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r-base \
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r-
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# --- Install Required R Packages ---
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# *** ADDED tidymodels package ***
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RUN Rscript -e "install.packages(c('randomForest', 'tidymodels'), repos='https://cloud.r-project.org/', dependencies=TRUE)" \
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# --- Python Setup ---
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RUN pip install --upgrade pip
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# Create directories and set permissions
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RUN mkdir -p /app && chmod -R 777 /app
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#
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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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# Copy static directory
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COPY static /app/static
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#
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# Ensure
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# Expose port
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EXPOSE 7860
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# Run the FastAPI app
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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# syntax=docker/dockerfile:1.4
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FROM python:3.10-slim
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# Set working directory
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WORKDIR /app
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# Install necessary dependencies including R and libraries for rpy2
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RUN apt-get update && apt-get install -y \
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git \
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curl \
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apt-transport-https \
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ca-certificates \
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gnupg \
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lsb-release \
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r-base \
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r-cran-rpy2 # Install R and the rpy2 dependency for Python
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# Install R packages (if needed, such as data.table, caret, etc. for model handling)
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RUN R -e "install.packages('data.table')" # Example, add other R dependencies if needed
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# Upgrade pip to the latest version
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RUN pip install --upgrade pip
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# Create necessary directories and set permissions
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RUN mkdir -p /app && chmod -R 777 /app
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# Clone the private repository using the mounted secret (Ensure GITHUB_TOKEN is correctly set)
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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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# Copy static directory into the container (if exists)
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COPY static /app/static
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# Copy the necessary files for model loading and app execution
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COPY rf_model.rds /app/rf_model.rds # Ensure that the .rds model is copied into the container
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Expose the port for FastAPI
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EXPOSE 7860
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# Run the FastAPI app with uvicorn
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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