58 lines
1.8 KiB
Docker
58 lines
1.8 KiB
Docker
# First stage: Build and install dependencies
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FROM python:3.10-slim-bookworm
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# Set the working directory in the container
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WORKDIR /usr/src/app
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# Install build dependencies
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RUN apt-get update && \
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apt-get install -y --no-install-recommends \
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wget \
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git \
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curl \
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unzip \
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gnupg \
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xvfb \
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ca-certificates \
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apt-transport-https \
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software-properties-common && \
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rm -rf /var/lib/apt/lists/*
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# Copy the application code
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COPY . .
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# Install Crawl4AI using the local setup.py (which will use the default installation)
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RUN pip install --no-cache-dir .
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# Install Google Chrome and ChromeDriver
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RUN wget -q -O - https://dl-ssl.google.com/linux/linux_signing_key.pub | apt-key add - && \
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sh -c 'echo "deb [arch=amd64] http://dl.google.com/linux/chrome/deb/ stable main" >> /etc/apt/sources.list.d/google-chrome.list' && \
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apt-get update && \
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apt-get install -y google-chrome-stable && \
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wget -O /tmp/chromedriver.zip http://chromedriver.storage.googleapis.com/`curl -sS chromedriver.storage.googleapis.com/LATEST_RELEASE`/chromedriver_linux64.zip && \
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unzip /tmp/chromedriver.zip chromedriver -d /usr/local/bin/
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# Set environment to use Chrome and ChromeDriver properly
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ENV CHROME_BIN=/usr/bin/google-chrome \
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CHROMEDRIVER=/usr/local/bin/chromedriver \
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DISPLAY=:99 \
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DBUS_SESSION_BUS_ADDRESS=/dev/null \
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PYTHONUNBUFFERED=1
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# Ensure the PATH environment variable includes the location of the installed packages
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ENV PATH /opt/conda/bin:$PATH
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# Make port 80 available to the world outside this container
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EXPOSE 80
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# Download models call cli "crawl4ai-download-models"
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# RUN crawl4ai-download-models
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# Install mkdocs
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RUN pip install mkdocs mkdocs-terminal
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# Call mkdocs to build the documentation
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RUN mkdocs build
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# Run uvicorn
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80", "--workers", "4"] |