9821a01a47
<!-- .github/pull_request_template.md --> ## Description This PR introduces a shared locked mechanism in KuzuAdapter to avoid use case when multiple subprocesses from different environments are trying to use the same Kuzu adatabase. ## Type of Change <!-- Please check the relevant option --> - [ ] Bug fix (non-breaking change that fixes an issue) - [x] New feature (non-breaking change that adds functionality) - [ ] Breaking change (fix or feature that would cause existing functionality to change) - [ ] Documentation update - [ ] Code refactoring - [x] Performance improvement - [ ] Other (please specify): ## Screenshots/Videos (if applicable) None ## Pre-submission Checklist <!-- Please check all boxes that apply before submitting your PR --> - [x] **I have tested my changes thoroughly before submitting this PR** - [x] **This PR contains minimal changes necessary to address the issue/feature** - [x] My code follows the project's coding standards and style guidelines - [x] I have added tests that prove my fix is effective or that my feature works - [x] I have added necessary documentation (if applicable) - [x] All new and existing tests pass - [x] I have searched existing PRs to ensure this change hasn't been submitted already - [x] I have linked any relevant issues in the description - [x] My commits have clear and descriptive messages ## 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.
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11 KiB
YAML
333 lines
No EOL
11 KiB
YAML
name: Reusable Integration Tests
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permissions:
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contents: read
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on:
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workflow_call:
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inputs:
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python-version:
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required: false
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type: string
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default: '3.11.x'
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secrets:
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LLM_MODEL:
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required: true
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LLM_ENDPOINT:
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required: true
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LLM_API_KEY:
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required: true
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LLM_API_VERSION:
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required: true
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EMBEDDING_MODEL:
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required: true
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EMBEDDING_ENDPOINT:
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required: true
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EMBEDDING_API_KEY:
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required: true
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EMBEDDING_API_VERSION:
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required: true
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OPENAI_API_KEY:
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required: true
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AWS_ACCESS_KEY_ID:
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required: true
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AWS_SECRET_ACCESS_KEY:
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required: true
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jobs:
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run-server-start-test:
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name: Server Start Test
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runs-on: ubuntu-22.04
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steps:
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- name: Check out
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uses: actions/checkout@v4
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with:
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fetch-depth: 0
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- name: Cognee Setup
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uses: ./.github/actions/cognee_setup
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with:
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python-version: '3.11.x'
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- name: Run Server Tests
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env:
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ENV: 'dev'
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LLM_MODEL: ${{ secrets.LLM_MODEL }}
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LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
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LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
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LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
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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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run: uv run python ./cognee/tests/test_cognee_server_start.py
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run-telemetry-test:
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name: Run Telemetry Test
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runs-on: ubuntu-22.04
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steps:
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- name: Check out repository
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uses: actions/checkout@v4
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- name: Cognee Setup
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uses: ./.github/actions/cognee_setup
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with:
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python-version: '3.11.x'
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- name: Run Telemetry Tests
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env:
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LLM_MODEL: ${{ secrets.LLM_MODEL }}
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LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
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LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
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LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
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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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run: uv run python ./cognee/tests/test_telemetry.py
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run-telemetry-pipeline-test:
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name: Run Telemetry Pipeline Test
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runs-on: ubuntu-22.04
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steps:
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- name: Check out repository
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uses: actions/checkout@v4
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- name: Cognee Setup
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uses: ./.github/actions/cognee_setup
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with:
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python-version: '3.11.x'
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- name: Add telemetry identifier
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run: |
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echo "test-machine" > .anon_id
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- name: Run default basic pipeline with telemetry on
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env:
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ENV: 'local'
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LLM_MODEL: ${{ secrets.LLM_MODEL }}
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LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
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LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
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LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
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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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run: uv run python ./cognee/tests/test_library.py
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run-deduplication-test:
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name: Deduplication Test
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runs-on: ubuntu-latest
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defaults:
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run:
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shell: bash
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services:
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postgres:
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image: pgvector/pgvector:pg17
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env:
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POSTGRES_USER: cognee
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POSTGRES_PASSWORD: cognee
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POSTGRES_DB: cognee_db
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options: >-
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--health-cmd pg_isready
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--health-interval 10s
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--health-timeout 5s
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--health-retries 5
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ports:
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- 5432:5432
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Cognee Setup
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uses: ./.github/actions/cognee_setup
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with:
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python-version: '3.11.x'
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extra-dependencies: "postgres"
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- name: Run Deduplication Example
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env:
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ENV: 'dev'
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LLM_API_KEY: ${{ secrets.OPENAI_API_KEY }} # Test needs OpenAI endpoint to handle multimedia
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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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run: uv run python ./cognee/tests/test_deduplication.py
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run-s3-bucket-test:
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name: S3 Bucket Test
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runs-on: ubuntu-22.04
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steps:
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- name: Check out repository
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uses: actions/checkout@v4
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- name: Cognee Setup
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uses: ./.github/actions/cognee_setup
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with:
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python-version: '3.11.x'
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extra-dependencies: "aws"
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- name: Run S3 Bucket Test
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env:
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ENV: 'dev'
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LLM_MODEL: ${{ secrets.LLM_MODEL }}
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LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
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LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
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LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
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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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AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID }}
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AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
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run: uv run python ./cognee/tests/test_s3.py
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test-parallel-databases:
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name: Test using different async databases in parallel in Cognee
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runs-on: ubuntu-22.04
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steps:
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- name: Check out repository
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uses: actions/checkout@v4
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- name: Cognee Setup
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uses: ./.github/actions/cognee_setup
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with:
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python-version: '3.11.x'
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- name: Dependencies already installed
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run: echo "Dependencies already installed in setup"
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- name: Run parallel databases test
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env:
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ENV: 'dev'
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LLM_MODEL: ${{ secrets.LLM_MODEL }}
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LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
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LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
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LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
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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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run: uv run python ./cognee/tests/test_parallel_databases.py
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test-permissions:
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name: Test permissions with different situations in Cognee
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runs-on: ubuntu-22.04
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steps:
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- name: Check out repository
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uses: actions/checkout@v4
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- name: Cognee Setup
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uses: ./.github/actions/cognee_setup
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with:
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python-version: '3.11.x'
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- name: Dependencies already installed
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run: echo "Dependencies already installed in setup"
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- name: Run parallel databases test
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env:
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ENV: 'dev'
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LLM_MODEL: ${{ secrets.LLM_MODEL }}
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LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
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LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
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LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
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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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run: uv run python ./cognee/tests/test_permissions.py
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test-graph-edges:
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name: Test graph edge ingestion
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runs-on: ubuntu-22.04
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steps:
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- name: Check out repository
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uses: actions/checkout@v4
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- name: Cognee Setup
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uses: ./.github/actions/cognee_setup
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with:
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python-version: '3.11.x'
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- name: Dependencies already installed
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run: echo "Dependencies already installed in setup"
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- name: Run graph edges test
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env:
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ENV: 'dev'
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LLM_MODEL: ${{ secrets.LLM_MODEL }}
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LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
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LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
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LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
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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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run: uv run python ./cognee/tests/test_edge_ingestion.py
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run_concurrent_subprocess_access_test:
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name: Concurrent Subprocess access test
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runs-on: ubuntu-latest
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defaults:
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run:
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shell: bash
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services:
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postgres:
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image: pgvector/pgvector:pg17
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env:
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POSTGRES_USER: cognee
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POSTGRES_PASSWORD: cognee
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POSTGRES_DB: cognee_db
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options: >-
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--health-cmd pg_isready
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--health-interval 10s
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--health-timeout 5s
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--health-retries 5
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ports:
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- 5432:5432
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redis:
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image: redis:7
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ports:
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- 6379:6379
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options: >-
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--health-cmd "redis-cli ping"
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--health-interval 5s
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--health-timeout 3s
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--health-retries 5
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steps:
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Cognee Setup
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uses: ./.github/actions/cognee_setup
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with:
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python-version: '3.11.x'
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extra-dependencies: "postgres redis"
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- name: Run Concurrent subprocess access test (Kuzu/Lancedb/Postgres)
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env:
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ENV: dev
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LLM_MODEL: ${{ secrets.LLM_MODEL }}
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LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
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LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
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LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
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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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GRAPH_DATABASE_PROVIDER: 'kuzu'
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CACHING: true
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SHARED_KUZU_LOCK: true
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DB_PROVIDER: 'postgres'
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DB_NAME: 'cognee_db'
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DB_HOST: '127.0.0.1'
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DB_PORT: 5432
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DB_USERNAME: cognee
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DB_PASSWORD: cognee
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run: uv run python ./cognee/tests/test_concurrent_subprocess_access.py |