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Implementation of deepeval metrics with supports of LLM Models #101

Implementation of deepeval metrics with supports of LLM Models

Implementation of deepeval metrics with supports of LLM Models #101

Workflow file for this run

name: Lint Check
on:
workflow_dispatch:
pull_request:
branches: [ main ]
jobs:
lint:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
fetch-depth: 0 # Needed for git diff
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: "3.10"
- name: Install uv
uses: astral-sh/setup-uv@v6
with:
version: latest
enable-cache: true
- name: Run SDK linting
run: |
cd sdk
make lint
continue-on-error: false
# - name: Run Backend linting
# run: |
# cd apps/backend
# make lint
# continue-on-error: false
- name: Lint Summary
run: |
echo "## Lint Check Results ✅" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "- **Scope**: SDK and Backend Python files" >> $GITHUB_STEP_SUMMARY
echo "- **Branch**: ${{ github.ref_name }}" >> $GITHUB_STEP_SUMMARY
echo "- **Status**: All checks passed successfully!" >> $GITHUB_STEP_SUMMARY
echo "" >> $GITHUB_STEP_SUMMARY
echo "### What was checked:" >> $GITHUB_STEP_SUMMARY
echo "- **SDK**: Code formatting and linting with ruff" >> $GITHUB_STEP_SUMMARY
echo "- **Backend**: Code formatting and linting with ruff" >> $GITHUB_STEP_SUMMARY