cognee/.github/workflows/test_llama_index_cognee_integration_notebook.yml
Igor Ilic 5fe7ff9883
refactor: Refactor search so graph completion is used by default (#505)
<!-- .github/pull_request_template.md -->

## Description
Refactor search so query type doesn't need to be provided to make it
simpler for new users

## 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

- **Refactor**
- Improved the search interface by standardizing parameter usage with
explicit keyword arguments for specifying search types, enhancing
clarity and consistency.
- **Tests**
- Updated test cases and example integrations to align with the revised
search parameters, ensuring consistent behavior and reliable validation
of search outcomes.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->
2025-02-07 17:16:34 +01:00

59 lines
1.7 KiB
YAML

name: test | llama index cognee integration notebook
on:
workflow_dispatch:
pull_request:
types: [labeled, synchronize]
concurrency:
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
cancel-in-progress: true
env:
RUNTIME__LOG_LEVEL: ERROR
jobs:
run_notebook_test:
name: test
runs-on: ubuntu-22.04
defaults:
run:
shell: bash
steps:
- name: Check out
uses: actions/checkout@master
- name: Setup Python
uses: actions/setup-python@v5
with:
python-version: '3.11.x'
- name: Install Poetry
uses: snok/install-poetry@v1.4.1
with:
virtualenvs-create: true
virtualenvs-in-project: true
installer-parallel: true
- name: Install dependencies
run: |
pip install jupyter
pip install llama-index-graph-rag-cognee==0.1.2
- name: Execute Jupyter Notebook
env:
ENV: 'dev'
LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }}
EMBEDDING_ENDPOINT: ${{ secrets.EMBEDDING_ENDPOINT }}
EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
EMBEDDING_API_VERSION: ${{ secrets.EMBEDDING_API_VERSION }}
GRAPHISTRY_USERNAME: ${{ secrets.GRAPHISTRY_USERNAME }}
GRAPHISTRY_PASSWORD: ${{ secrets.GRAPHISTRY_PASSWORD }}
run: |
poetry run jupyter nbconvert \
--to notebook \
--execute notebooks/llama_index_cognee_integration.ipynb \
--output executed_notebook.ipynb \
--ExecutePreprocessor.timeout=1200