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Working example with docker-compose
Still need quite a bit of clean-up, but this adds a working docker-compose + Dockerfile setup
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3 changed files with 78 additions and 9 deletions
26
Dockerfile
26
Dockerfile
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@ -5,17 +5,25 @@ FROM ubuntu:18.04
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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
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FROM continuumio/miniconda3:4.10.3p0-alpine
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COPY . /src
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WORKDIR /src
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COPY . .
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COPY environment.yml .
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COPY config.yml .
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# Get the arguments from the docker-compose environment
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ARG PORT
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EXPOSE ${PORT}
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# This allows us to use the arguments during runtime
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RUN conda env create -f environment.yml
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EXPOSE 5000
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COPY . .
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# CMD python3 -m main -c=config.yml -vv
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CMD ["conda", "run", "--name", "semantic-search", "python3", "-m", "main", "-c=config.yml", "-vv"]
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# Use the conda environment we created to run the application.
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# The docker execution process run conda activate semantic-search, since the lifetime of the environment would only be for the single command.
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# Instead, we'll use the conda run to run the application.
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# Use 0.0.0.0 to explicitly set the host ip for the service on the container. https://pythonspeed.com/articles/docker-connection-refused/
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# Use sh -c to start a shell in order to use environment variables in CMD.
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ENTRYPOINT ["conda", "run", "--no-capture-output", "--name", "semantic-search", \
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"python3", "-m", "src.main"]
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# "python3", "-m", "src.main", "-c=${CONFIG_FILE}", "-vv" ,"--host=${HOST}, "--port=${PORT}"]
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# CMD ["sh", "-c", "echo ${CONFIG_FILE}", "echo ${HOST}", "echo ${PORT}"]
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@ -0,0 +1,17 @@
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version: "3.9"
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services:
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web:
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build:
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context: .
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args:
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- PORT=8000
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ports:
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- "8000:8000"
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volumes:
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- .:/code
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- /home/saba/notes/:/data/notes/
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- /home/saba/embeddings/:/data/generated/
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- /home/saba/images/:/data/images/
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- /home/saba/ledger/:/data/ledger/
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- /home/saba/music/:/data/music/
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command: --host="0.0.0.0" --port=8000 -c=docker_sample_config.yml
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44
docker_sample_config.yml
Normal file
44
docker_sample_config.yml
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content-type:
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org:
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input-files: null
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input-filter: "/data/notes/*.org"
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compressed-jsonl: "/data/generated/.notes.json.gz"
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embeddings-file: "/data/generated/.note_embeddings.pt"
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ledger:
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# input-files: null
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# input-filter: /data/ledger/*.beancount
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# compressed-jsonl: /data/generated/.transactions.jsonl.gz
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# embeddings-file: /data/generated/.transaction_embeddings.pt
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image:
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# input-directory: "/data/images/"
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# embeddings-file: "/data/generated/.image_embeddings.pt"
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# batch-size: 50
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# use-xmp-metadata: "no"
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music:
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# input-files: null
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# input-filter: "/data/music/*.org"
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# compressed-jsonl: "/data/generated/.songs.jsonl.gz"
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# embeddings-file: "/data/generated/.song_embeddings.pt"
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search-type:
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symmetric:
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encoder: "sentence-transformers/paraphrase-MiniLM-L6-v2"
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cross-encoder: "cross-encoder/ms-marco-MiniLM-L-6-v2"
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model_directory: "/data/models/.symmetric"
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asymmetric:
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encoder: "sentence-transformers/msmarco-MiniLM-L-6-v3"
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cross-encoder: "cross-encoder/ms-marco-MiniLM-L-6-v2"
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model_directory: "/data/models/.asymmetric"
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image:
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encoder: "clip-ViT-B-32"
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model_directory: "/data/models/.image_encoder"
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processor:
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conversation:
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openai-api-key: null
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conversation-logfile: "/data/conversation/.conversation_logs.json"
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