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chore: import upstream snapshot with attribution
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wehub-resource-sync
2026-07-13 13:02:24 +08:00
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.github/workflows/graph_db_tests.yml
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name: Reusable Graph DB Tests
permissions:
contents: read
packages: read
on:
workflow_call:
inputs:
databases:
required: false
type: string
default: "all"
description: "Which vector databases to test (comma-separated list or 'all')"
python-version:
required: false
type: string
default: "3.11.x"
description: "Python version to use for testing"
ci-image:
required: false
type: string
default: ''
env:
COGNEE_SKIP_CONNECTION_TEST: 'true'
jobs:
run-kuzu-tests:
name: Kuzu Tests
runs-on: ubuntu-22.04
container: ${{ inputs.ci-image != '' && fromJSON(format('{{"image":"{0}","credentials":{{"username":"{1}","password":"{2}"}}}}', inputs.ci-image, github.actor, github.token)) || null }}
if: ${{ inputs.databases == 'all' || contains(inputs.databases, 'kuzu') }}
steps:
- name: Check out
uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Cognee Setup
uses: ./.github/actions/cognee_setup
with:
python-version: ${{ inputs.python-version }}
- name: Dependencies already installed
run: echo "Dependencies already installed in setup"
- name: Run Kuzu Tests
env:
ENV: 'dev'
LLM_MODEL: ${{ secrets.LLM_MODEL }}
LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_ARGS: ${{ secrets.LLM_ARGS }}
LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
EMBEDDING_DIMENSIONS: 300
EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }}
EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
run: uv run python ./cognee/tests/test_kuzu.py
- name: Run Weighted Edges Tests with Kuzu
env:
ENV: 'dev'
GRAPH_DATABASE_PROVIDER: "kuzu"
LLM_MODEL: ${{ secrets.LLM_MODEL }}
LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_ARGS: ${{ secrets.LLM_ARGS }}
LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
EMBEDDING_DIMENSIONS: 300
EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }}
EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
run: uv run pytest cognee/tests/unit/interfaces/graph/test_weighted_edges.py -v
run-postgres-tests:
name: Postgres Graph Tests
runs-on: ubuntu-22.04
if: ${{ inputs.databases == 'all' || contains(inputs.databases, 'postgres') }}
services:
postgres:
image: ghcr.io/topoteretes/pgvector:pg17
credentials:
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
env:
POSTGRES_USER: cognee
POSTGRES_PASSWORD: cognee
POSTGRES_DB: cognee_db
ports:
- 5432:5432
options: >-
--health-cmd pg_isready
--health-interval 10s
--health-timeout 5s
--health-retries 5
steps:
- name: Check out
uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Cognee Setup
uses: ./.github/actions/cognee_setup
with:
python-version: ${{ inputs.python-version }}
extra-dependencies: postgres
- name: Run Postgres Adapter Unit Tests
env:
DB_PROVIDER: postgres
DB_HOST: localhost
DB_PORT: 5432
DB_USERNAME: cognee
DB_PASSWORD: cognee
DB_NAME: cognee_db
run: uv run pytest cognee/tests/e2e/postgres/test_postgres_adapter.py -v
- name: Run Postgres Graph E2E Test
env:
ENV: 'dev'
GRAPH_DATABASE_PROVIDER: "postgres"
GRAPH_DATABASE_URL: "postgresql+asyncpg://cognee:cognee@localhost:5432/cognee_db"
DB_PROVIDER: postgres
DB_HOST: localhost
DB_PORT: 5432
DB_USERNAME: cognee
DB_PASSWORD: cognee
DB_NAME: cognee_db
ENABLE_BACKEND_ACCESS_CONTROL: 'false'
LLM_MODEL: ${{ secrets.LLM_MODEL }}
LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_ARGS: ${{ secrets.LLM_ARGS }}
LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
EMBEDDING_DIMENSIONS: 300
EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }}
EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
run: uv run python ./cognee/tests/e2e/postgres/test_graphdb_postgres.py
# - name: Run Postgres Hybrid Adapter Tests
# env:
# ENV: 'dev'
# DB_PROVIDER: postgres
# DB_HOST: localhost
# DB_PORT: 5432
# DB_USERNAME: cognee
# DB_PASSWORD: cognee
# DB_NAME: cognee_db
# EMBEDDING_DIMENSIONS: 300
# EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }}
# EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
# run: uv run pytest cognee/tests/e2e/postgres/test_postgres_hybrid_adapter.py -v
#
# - name: Run Postgres Hybrid E2E Test
# env:
# ENV: 'dev'
# USE_UNIFIED_PROVIDER: "pghybrid"
# DB_PROVIDER: postgres
# DB_HOST: localhost
# DB_PORT: 5432
# DB_USERNAME: cognee
# DB_PASSWORD: cognee
# DB_NAME: cognee_db
# ENABLE_BACKEND_ACCESS_CONTROL: 'false'
# LLM_MODEL: ${{ secrets.LLM_MODEL }}
# LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
# LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
# LLM_ARGS: ${{ secrets.LLM_ARGS }}
# LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
# EMBEDDING_DIMENSIONS: 300
# EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }}
# EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
# run: uv run python ./cognee/tests/e2e/postgres/test_pghybrid.py
run-neo4j-tests:
name: Neo4j Tests
runs-on: ubuntu-22.04
if: ${{ inputs.databases == 'all' || contains(inputs.databases, 'neo4j') }}
steps:
- name: Check out
uses: actions/checkout@master
- name: Cognee Setup
uses: ./.github/actions/cognee_setup
with:
python-version: ${{ inputs.python-version }}
- name: Setup Neo4j with GDS
uses: ./.github/actions/setup_neo4j
id: neo4j
- name: Run default Neo4j
env:
ENV: 'dev'
ENABLE_BACKEND_ACCESS_CONTROL: 'false'
LLM_MODEL: ${{ secrets.LLM_MODEL }}
LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_ARGS: ${{ secrets.LLM_ARGS }}
LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
EMBEDDING_DIMENSIONS: 300
EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }}
EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
GRAPH_DATABASE_PROVIDER: "neo4j"
GRAPH_DATABASE_URL: ${{ steps.neo4j.outputs.neo4j-url }}
GRAPH_DATABASE_USERNAME: ${{ steps.neo4j.outputs.neo4j-username }}
GRAPH_DATABASE_PASSWORD: ${{ steps.neo4j.outputs.neo4j-password }}
run: uv run python ./cognee/tests/test_neo4j.py
- name: Run Weighted Edges Tests with Neo4j
env:
ENV: 'dev'
GRAPH_DATABASE_PROVIDER: "neo4j"
GRAPH_DATABASE_URL: ${{ secrets.NEO4J_API_URL }}
GRAPH_DATABASE_PASSWORD: ${{ secrets.NEO4J_API_KEY }}
GRAPH_DATABASE_USERNAME: "neo4j"
LLM_MODEL: ${{ secrets.LLM_MODEL }}
LLM_ENDPOINT: ${{ secrets.LLM_ENDPOINT }}
LLM_API_KEY: ${{ secrets.LLM_API_KEY }}
LLM_ARGS: ${{ secrets.LLM_ARGS }}
LLM_API_VERSION: ${{ secrets.LLM_API_VERSION }}
EMBEDDING_DIMENSIONS: 300
EMBEDDING_MODEL: ${{ secrets.EMBEDDING_MODEL }}
EMBEDDING_API_KEY: ${{ secrets.EMBEDDING_API_KEY }}
run: uv run pytest cognee/tests/unit/interfaces/graph/test_weighted_edges.py -v