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LLM regression tests #6

LLM regression tests

LLM regression tests #6

Workflow file for this run

# This workflow will install Python dependencies and run AI regression tests with a single version of Python
# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python
name: LLM regression tests
on:
# weekdays at 6am
schedule:
- cron: '0 6 * * 1-5'
# or on-demand
workflow_dispatch:
# or on push to main
push:
branches:
- 'main'
permissions:
contents: read
jobs:
ai-tests:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v3
- name: Set up Python 3.11
uses: actions/setup-python@v3
with:
python-version: "3.11"
- name: Set up Poetry
uses: abatilo/actions-poetry@v2
with:
poetry-version: 1.7.0
- name: Build containers
run: |
mkdir -p data/elastic/
chmod 777 data/elastic/
cp .env.test .env
echo AZURE_OPENAI_ENDPOINT=${{ secrets.AZURE_OPENAI_ENDPOINT }} >> .env
echo AZURE_OPENAI_API_KEY=${{ secrets.AZURE_OPENAI_API_KEY }} >> .env
echo AZURE_OPENAI_MODEL=azure/gpt-4 >> .env
echo OPENAI_API_VERSION=2024-02-01 >> .env
sed -i 's/^EMBEDDING_MODEL=.*/EMBEDDING_MODEL=all-mpnet-base-v2/' .env
docker compose up -d --wait elasticsearch
poetry install --no-root --no-ansi --with dev,ai,api --without worker
poetry run download-model --embedding_model all-mpnet-base-v2
- name: Run DeepEval Unit Tests
run: poetry run deepeval test run core_api/tests/test_ai.py --mark ai