<!-- .github/pull_request_template.md --> ## Description Change version to latest llama index cognee integration version which has a proper fix for the failing notebook ## DCO Affirmation I affirm that all code in every commit of this pull request conforms to the terms of the Topoteretes Developer Certificate of Origin <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit - **Chores** - Updated an AI integration dependency to version 0.1.3 in both the testing workflow and the Jupyter notebook, ensuring that the environment uses the latest version for improved consistency during tests. <!-- end of auto-generated comment: release notes by coderabbit.ai --> Co-authored-by: Vasilije <8619304+Vasilije1990@users.noreply.github.com>
59 lines
1.7 KiB
YAML
59 lines
1.7 KiB
YAML
name: test | llama index cognee integration notebook
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on:
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workflow_dispatch:
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pull_request:
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types: [labeled, synchronize]
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concurrency:
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group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
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cancel-in-progress: true
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env:
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RUNTIME__LOG_LEVEL: ERROR
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jobs:
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run_notebook_test:
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name: test
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runs-on: ubuntu-22.04
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defaults:
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run:
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shell: bash
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steps:
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- name: Check out
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uses: actions/checkout@master
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- name: Setup Python
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uses: actions/setup-python@v5
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with:
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python-version: '3.11.x'
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- name: Install Poetry
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uses: snok/install-poetry@v1.4.1
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with:
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virtualenvs-create: true
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virtualenvs-in-project: true
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installer-parallel: true
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- name: Install dependencies
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run: |
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pip install jupyter
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pip install llama-index-graph-rag-cognee==0.1.3
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- name: Execute Jupyter Notebook
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env:
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ENV: 'dev'
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LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }}
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OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
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EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }}
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EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }}
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EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
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EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }}
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GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
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GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}
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run: |
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poetry run jupyter nbconvert \
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--to notebook \
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--execute notebooks/llama_index_cognee_integration.ipynb \
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--output executed_notebook.ipynb \
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--ExecutePreprocessor.timeout=1200
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