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4ae8c15170
- Use /app as the working directory - Clarify comment to explain why the ENTRYPOINT is constructed as it is - Move explanations for the argument to docker-compose, where it's set - Copy required artifacts from the first build image into the subsequent one (exiftool)
34 lines
1.3 KiB
Docker
34 lines
1.3 KiB
Docker
# syntax=docker/dockerfile:1
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FROM ubuntu:18.04 AS os-dependencies
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# Install system dependencies.
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RUN apt-get update -y && \
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apt-get -y install libimage-exiftool-perl
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FROM continuumio/miniconda3:4.10.3p0-alpine
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# From the previous image, copy exiftool into this image.
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COPY --from=os-dependencies /usr/bin/exiftool /usr/bin/exiftool
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# Add the local code to the /app directory and set it to be the working directory.
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# Since we mount the /app directory as a volume in docker-compose.yml, this
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# allows us to automatically update the code in the Docker image when it's changed.
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ADD . /app
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WORKDIR /app
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# Get the arguments from the docker-compose environment.
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ARG PORT
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EXPOSE ${PORT}
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# Create the conda environment.
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RUN conda env create -f environment.yml
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# Use the conda environment we created to run the application.
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# To enable the conda env, we cannot simply RUN `conda activate semantic-search`,
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# since each RUN command in a Dockerfile is a separate bash shell.
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# The environment would not carry forward.
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# Instead, we'll use `conda run` to run the application.
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# There are more arguments required for the script to run,
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# but these should be passed in through the docker-compose.yml file.
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ENTRYPOINT ["conda", "run", "--no-capture-output", "--name", "semantic-search", \
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"python3", "-m", "src.main"]
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