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Use Pip to setup Khoj in Docker, Github Workflows. Publish to PyPi Automatically
### Details #### Github Workflows - Make Github Workflows use `pip` instead of `conda` - Publish Khoj as Python Package Automatically - Version based on [PEP440](https://peps.python.org/pep-0440/) and [Semantic Versioning](https://semver.org/) specs - On Push to Master: Publish a pre-release (alpha) to PyPI - On Push to PR: Publish a development-release on TestPyPI - On creating a (release) tag: Publish the latest version (Major.Minor.Patch) to PyPI #### Docker - Make `Dockerfile` use `pip` to build image for Khoj. Faster, more standard flow than `conda` - Only Build Docker Image on Push to Master - Availability of pip package negates the need for docker image for PR testing - Make Docker-Compose use Docker Image published to Github Container Registry - Default Image search to disabled. [Fix loading CLIP model](https://github.com/UKPLab/sentence-transformers/issues/1659) before re-enabling
This commit is contained in:
commit
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10 changed files with 122 additions and 89 deletions
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.git/
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.pytest_cache/
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.vscode/
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.venv/
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docs/
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tests/
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build/
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dist/
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*.egg-info/
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10
.github/workflows/build.yml
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.github/workflows/build.yml
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@ -1,16 +1,6 @@
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name: build
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on:
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pull_request:
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branches:
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- master
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paths:
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- src/**
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- config/**
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- setup.py
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- Dockerfile
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- docker-compose.yml
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- .github/workflows/build.yml
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push:
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branches:
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- master
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.github/workflows/publish.yml
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.github/workflows/publish.yml
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name: publish
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on:
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pull_request:
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branches:
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- 'master'
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paths:
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- src/**
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- setup.py
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- .github/workflows/publish.yml
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push:
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branches:
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- 'master'
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paths:
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- src/**
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- setup.py
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- .github/workflows/publish.yml
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jobs:
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publish:
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name: Publish App to PyPI
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v3
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- name: Set up Python 3.10
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uses: actions/setup-python@v4
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with:
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python-version: '3.10'
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- name: Install Dependencies
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run: |
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python -m pip install --upgrade pip
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pip install build twine
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- name: Install Application
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run: |
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pip install --upgrade .
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- name: Publish Release to PyPI
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if: github.event_name == 'push' && startsWith(github.ref, 'refs/tags')
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env:
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TWINE_USERNAME: __token__
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TWINE_PASSWORD: ${{ secrets.PYPI_API_KEY }}
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run: |
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rm -rf dist
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python -m build
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twine check dist/*
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twine upload dist/*
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- name: Publish Master to PyPI
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if: github.ref == 'refs/heads/master'
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env:
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TWINE_USERNAME: __token__
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TWINE_PASSWORD: ${{ secrets.PYPI_API_KEY }}
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run: |
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sed -E -i "s/version=(.*)',/version=\1a$(date +%s)',/g" setup.py
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rm -rf dist
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python -m build
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twine check dist/*
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twine upload dist/*
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- name: Publish PR to Test PyPI
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if: github.event_name == 'pull_request'
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env:
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TWINE_USERNAME: __token__
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TWINE_PASSWORD: ${{ secrets.TEST_PYPI_API_KEY }}
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PULL_REQUEST_NUMBER: ${{ github.event.number }}
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run: |
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sed -E -i "s/version=(.*)',/version=\1.dev$PULL_REQUEST_NUMBER$(date +%s)',/g" setup.py
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rm -rf dist
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python -m build
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twine check dist/*
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twine upload -r testpypi dist/*
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.github/workflows/test.yml
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.github/workflows/test.yml
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jobs:
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test:
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strategy:
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matrix:
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include:
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- os: ubuntu-latest
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label: linux-64
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prefix: /usr/share/miniconda3/envs/test
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name: ${{ matrix.label }}
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runs-on: ${{ matrix.os }}
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name: Run Tests
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v2
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- uses: actions/checkout@v3
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- name: Install Environment Dependencies
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shell: bash -l {0}
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run: sudo apt-get -y install libimage-exiftool-perl
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- name: Setup Mambaforge
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uses: conda-incubator/setup-miniconda@v2
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- name: Set up Python 3.10
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uses: actions/setup-python@v4
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with:
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miniforge-variant: Mambaforge
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miniforge-version: latest
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activate-environment: test
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use-mamba: true
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environment-file: config/environment.yml
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python-version: 3.8
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auto-activate-base: false
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use-only-tar-bz2: true
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python-version: '3.10'
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- name: Set cache date
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run: echo "DATE=$(date +'%Y%m%d')" >> $GITHUB_ENV
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- name: Install Dependencies
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run: |
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python -m pip install --upgrade pip
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pip install pytest
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- uses: actions/cache@v2
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with:
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path: ${{ matrix.prefix }}
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key: ${{ matrix.label }}-conda-${{ hashFiles('config/environment.yml') }}-${{ env.DATE }}-${{ env.CACHE_NUMBER }}
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env:
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# Increase this value to reset cache if environment.yml has not changed
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CACHE_NUMBER: 0
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id: cache
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- name: Install Application
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run: |
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pip install --upgrade .
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- name: Update environment
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run: mamba env update -n test -f config/environment.yml
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if: steps.cache.outputs.cache-hit != 'true'
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- name: Run Pytest
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shell: bash -l {0}
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run: python -m pytest
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- name: Test Application
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run: |
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pytest
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1
.gitignore
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1
.gitignore
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__pycache__
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.DS_Store
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.emacs.desktop*
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*.py[cod]
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tests/data/models
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tests/data/embeddings
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src/.data
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33
Dockerfile
33
Dockerfile
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# syntax=docker/dockerfile:1
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FROM continuumio/miniconda3:4.12.0
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FROM python:3.10-slim-bullseye
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LABEL org.opencontainers.image.source https://github.com/debanjum/khoj
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# Install system 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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# 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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# Copy Application to Container
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COPY . /app
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WORKDIR /app
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# Get the arguments from the docker-compose environment.
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# Install Python Dependencies
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RUN pip install --upgrade pip && \
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pip install --upgrade .
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# Run the Application
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# There are more arguments required for the application to run,
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# but these should be passed in through the docker-compose.yml file.
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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 config/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 khoj`,
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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", "khoj", \
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"python3", "-m", "src.main"]
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ENTRYPOINT ["khoj"]
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include Readme.md
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graft docs*
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graft src/interface/*
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prune src/interface/web/images*
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prune docs*
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global-exclude .DS_Store *.py[cod]
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compressed-jsonl: /data/embeddings/transactions.jsonl.gz
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embeddings-file: /data/embeddings/transaction_embeddings.pt
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image:
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input-directories: ["/data/images/"]
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embeddings-file: "/data/embeddings/image_embeddings.pt"
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batch-size: 50
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use-xmp-metadata: true
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# image:
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# input-directories: ["/data/images/"]
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# embeddings-file: "/data/embeddings/image_embeddings.pt"
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# batch-size: 50
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# use-xmp-metadata: true
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music:
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input-files: ["/data/music/music.org"]
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version: "3.9"
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services:
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server:
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build:
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context: .
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dockerfile: Dockerfile
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args:
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- PORT=8000
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image: ghcr.io/debanjum/khoj:latest
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ports:
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# If changing the local port (left hand side), no other changes required.
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# If changing the remote port (right hand side),
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# You can set these volumes to point to empty directories on host
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- ./tests/data/embeddings/:/data/embeddings/
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- ./tests/data/models/:/data/models/
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deploy:
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resources:
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limits:
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memory: 8g
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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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command: --host="0.0.0.0" --port=8000 -c=config/khoj_sample.yml -vv
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4
setup.py
4
setup.py
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setup(
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name='khoj-assistant',
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version='0.1.4',
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version='0.1.5',
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description="A natural language search engine for your personal notes, transactions and images",
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long_description=(this_directory / "Readme.md").read_text(encoding="utf-8"),
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long_description_content_type="text/markdown",
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url='https://github.com/debanjum/khoj',
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license="GPLv3",
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keywords="search semantic-search productivity NLP org-mode markdown beancount images",
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python_requires=">=3.5, <4",
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python_requires=">=3.8, <4",
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packages=find_packages(
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where=".",
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exclude=["tests*"],
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