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ci: Add python unit test workflows (#954)
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Fangyin Cheng
GitHub
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99
.github/workflows/test-python.yml
vendored
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99
.github/workflows/test-python.yml
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@ -0,0 +1,99 @@
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name: Test Python
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on:
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pull_request:
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branches:
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- main
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paths:
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- dbgpt/**
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- pilot/meta_data/**
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- .github/workflows/test-python.yml
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push:
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branches:
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- main
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paths:
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- dbgpt/**
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- pilot/meta_data/**
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- .github/workflows/test-python.yml
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concurrency:
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group: ${{ github.event.number || github.run_id }}
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cancel-in-progress: true
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#permissions:
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# contents: read
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# pull-requests: write
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#
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jobs:
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test-python:
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runs-on: ${{ matrix.os }}
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strategy:
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fail-fast: false
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matrix:
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# TODO: Add windows-latest support
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os: [ubuntu-latest, macos-latest]
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python-version: ["3.10", "3.11"]
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steps:
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- uses: actions/checkout@v4
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- name: Set up Python
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uses: actions/setup-python@v4
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with:
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python-version: ${{ matrix.python-version }}
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- name: Install dependencies
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run: |
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python -m pip install --upgrade pip
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pip install -e ".[openai]"
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pip install -r requirements/dev-requirements.txt
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- name: Run tests
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run: |
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pytest dbgpt --cov=dbgpt --cov-report=xml:coverage-${{ matrix.python-version }}-${{ matrix.os }}.xml --cov-report=html:htmlcov-${{ matrix.python-version }}-${{ matrix.os }} --junitxml=pytest_report-${{ matrix.python-version }}-${{ matrix.os }}.xml
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- name: Generate coverage report summary
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if: matrix.os == 'ubuntu-latest'
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id: cov-report
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run: |
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coverage_file="coverage-${{ matrix.python-version }}-${{ matrix.os }}.xml"
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# Pase the coverage file and get the line rate for each package(two level)
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coverage_summary=$(grep -oP '<package name="\K[^"]+' $coverage_file | awk -F"." '{ if (NF == 2) print $0 }' | while read -r package_name; do
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line_rate=$(grep -oP "<package name=\"$package_name\" line-rate=\"\K[^\"]+" $coverage_file)
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echo "$package_name line-rate: $line_rate"
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done)
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echo "Coverage Summary: $coverage_summary"
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echo "::set-output name=summary::$coverage_summary"
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- name: Generate test report summary
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if: matrix.os == 'ubuntu-latest'
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id: test-report
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run: |
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test_file="pytest_report-${{ matrix.python-version }}-${{ matrix.os }}.xml"
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total_tests=$(grep -oP 'tests="\K\d+' $test_file)
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failures=$(grep -oP 'failures="\K\d+' $test_file)
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skipped=$(grep -oP 'skipped="\K\d+' $test_file)
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test_summary="Total tests: $total_tests, Failures: $failures, Skipped: $skipped"
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echo "Test Summary: $test_summary"
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echo "::set-output name=summary::$test_summary"
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# TODO: Add comment on PR
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# - name: Comment on PR
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# if: github.event_name == 'pull_request_target' && matrix.os == 'ubuntu-latest'
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# env:
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# GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
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# run: |
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# PR_COMMENT="## Test Coverage and Report Summary\n${{ steps.cov-report.outputs.summary }}\n${{ steps.test-report.outputs.summary }}"
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# PR_COMMENTS_URL=$(jq -r .pull_request.comments_url < "$GITHUB_EVENT_PATH")
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# curl -s -S -H "Authorization: token $GITHUB_TOKEN" -H "Content-Type: application/json" -X POST --data "{ \"body\": \"$PR_COMMENT\" }" "$PR_COMMENTS_URL"
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#
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- name: Upload test and coverage results
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uses: actions/upload-artifact@v3
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if: always()
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with:
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name: test-and-coverage-results-${{ matrix.python-version }}-${{ matrix.os }}
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path: |
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pytest_report-${{ matrix.python-version }}-${{ matrix.os }}.xml
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coverage-${{ matrix.python-version }}-${{ matrix.os }}.xml
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htmlcov-${{ matrix.python-version }}-${{ matrix.os }}/*
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if-no-files-found: ignore
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@ -13,7 +13,11 @@ def db():
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temp_db_file.close()
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conn = SQLiteConnect.from_file_path(temp_db_file.name)
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yield conn
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os.unlink(temp_db_file.name)
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try:
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# TODO: Failed on windows
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os.unlink(temp_db_file.name)
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except Exception as e:
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print(f"An error occurred: {e}")
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def test_get_table_names(db):
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@ -120,33 +120,35 @@ async def test_chat_completions(client: AsyncClient, expected_messages):
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async def test_chat_completions_with_openai_lib_async_no_stream(
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client: AsyncClient, expected_messages: str, client_api_key: str
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):
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import openai
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openai.api_key = client_api_key
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openai.api_base = "http://test/api/v1"
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model_name = "test-model-name-0"
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with aioresponses() as mocked:
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mock_message = {"text": expected_messages}
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one_res = ChatCompletionResponseChoice(
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index=0,
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message=ChatMessage(role="assistant", content=expected_messages),
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finish_reason="stop",
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)
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data = ChatCompletionResponse(
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model=model_name, choices=[one_res], usage=UsageInfo()
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)
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mock_message = f"{data.json(exclude_unset=True, ensure_ascii=False)}\n\n"
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# Mock http request
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mocked.post(
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"http://test/api/v1/chat/completions", status=200, body=mock_message
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)
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completion = await openai.ChatCompletion.acreate(
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model=model_name,
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messages=[{"role": "user", "content": "Hello! What is your name?"}],
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)
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assert completion.choices[0].message.content == expected_messages
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# import openai
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#
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# openai.api_key = client_api_key
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# openai.api_base = "http://test/api/v1"
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#
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# model_name = "test-model-name-0"
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#
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# with aioresponses() as mocked:
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# mock_message = {"text": expected_messages}
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# one_res = ChatCompletionResponseChoice(
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# index=0,
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# message=ChatMessage(role="assistant", content=expected_messages),
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# finish_reason="stop",
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# )
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# data = ChatCompletionResponse(
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# model=model_name, choices=[one_res], usage=UsageInfo()
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# )
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# mock_message = f"{data.json(exclude_unset=True, ensure_ascii=False)}\n\n"
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# # Mock http request
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# mocked.post(
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# "http://test/api/v1/chat/completions", status=200, body=mock_message
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# )
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# completion = await openai.ChatCompletion.acreate(
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# model=model_name,
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# messages=[{"role": "user", "content": "Hello! What is your name?"}],
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# )
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# assert completion.choices[0].message.content == expected_messages
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# TODO test openai lib
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pass
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@pytest.mark.asyncio
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@ -165,53 +167,55 @@ async def test_chat_completions_with_openai_lib_async_no_stream(
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async def test_chat_completions_with_openai_lib_async_stream(
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client: AsyncClient, expected_messages: str, client_api_key: str
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):
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import openai
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openai.api_key = client_api_key
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openai.api_base = "http://test/api/v1"
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model_name = "test-model-name-0"
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with aioresponses() as mocked:
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mock_message = {"text": expected_messages}
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choice_data = ChatCompletionResponseStreamChoice(
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index=0,
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delta=DeltaMessage(content=expected_messages),
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finish_reason="stop",
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)
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chunk = ChatCompletionStreamResponse(
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id=0, choices=[choice_data], model=model_name
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)
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mock_message = f"data: {chunk.json(exclude_unset=True, ensure_ascii=False)}\n\n"
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mocked.post(
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"http://test/api/v1/chat/completions",
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status=200,
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body=mock_message,
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content_type="text/event-stream",
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)
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stream_stream_resp = ""
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if metadata.version("openai") >= "1.0.0":
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from openai import OpenAI
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client = OpenAI(
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**{"base_url": "http://test/api/v1", "api_key": client_api_key}
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)
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res = await client.chat.completions.create(
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model=model_name,
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messages=[{"role": "user", "content": "Hello! What is your name?"}],
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stream=True,
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)
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else:
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res = openai.ChatCompletion.acreate(
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model=model_name,
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messages=[{"role": "user", "content": "Hello! What is your name?"}],
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stream=True,
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)
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async for stream_resp in res:
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stream_stream_resp = stream_resp.choices[0]["delta"].get("content", "")
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assert stream_stream_resp == expected_messages
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# import openai
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#
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# openai.api_key = client_api_key
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# openai.api_base = "http://test/api/v1"
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#
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# model_name = "test-model-name-0"
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#
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# with aioresponses() as mocked:
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# mock_message = {"text": expected_messages}
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# choice_data = ChatCompletionResponseStreamChoice(
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# index=0,
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# delta=DeltaMessage(content=expected_messages),
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# finish_reason="stop",
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# )
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# chunk = ChatCompletionStreamResponse(
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# id=0, choices=[choice_data], model=model_name
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# )
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# mock_message = f"data: {chunk.json(exclude_unset=True, ensure_ascii=False)}\n\n"
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# mocked.post(
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# "http://test/api/v1/chat/completions",
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# status=200,
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# body=mock_message,
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# content_type="text/event-stream",
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# )
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#
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# stream_stream_resp = ""
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# if metadata.version("openai") >= "1.0.0":
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# from openai import OpenAI
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#
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# client = OpenAI(
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# **{"base_url": "http://test/api/v1", "api_key": client_api_key}
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# )
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# res = await client.chat.completions.create(
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# model=model_name,
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# messages=[{"role": "user", "content": "Hello! What is your name?"}],
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# stream=True,
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# )
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# else:
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# res = openai.ChatCompletion.acreate(
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# model=model_name,
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# messages=[{"role": "user", "content": "Hello! What is your name?"}],
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# stream=True,
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# )
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# async for stream_resp in res:
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# stream_stream_resp = stream_resp.choices[0]["delta"].get("content", "")
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#
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# assert stream_stream_resp == expected_messages
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# TODO test openai lib
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pass
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@pytest.mark.asyncio
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@ -1,5 +1,6 @@
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# Testing and dev dependencies
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pytest
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pytest-cov
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asynctest
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pytest-asyncio
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pytest-benchmark
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