Create Integration Tests for full agent pipeline #21
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WalkthroughNew asynchronous test files have been added to validate the Changes
Sequence Diagram(s)sequenceDiagram
participant TestClient as httpx.AsyncClient
participant App as Application
TestClient->>App: POST /factcheck {claim}
App-->>TestClient: 200 OK {verdict, evidence}
TestClient->>App: GET /health
App-->>TestClient: 200 OK {"status": "ok"}
TestClient->>App: GET /search?q=climate change
App-->>TestClient: 200 OK [ {title, url}, ... ]
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Actionable comments posted: 2
🧹 Nitpick comments (3)
src/tests/tests_status.py (1)
7-17: Add docstring and verify endpoint behavior.The test logic is well-structured and correctly validates the search endpoint response. Consider adding a docstring to document the test purpose.
@pytest.mark.asyncio async def test_search_endpoint(): + """Test the /search endpoint returns properly formatted search results.""" async with AsyncClient(app=app, base_url="http://test") as ac:🧰 Tools
🪛 Ruff (0.11.9)
8-8: Missing docstring in public function
(D103)
src/tests/tests_health_endpoint.py (1)
7-12: Add docstring for better test documentation.The health endpoint test is correctly implemented and validates the expected response format.
@pytest.mark.asyncio async def test_health_endpoint(): + """Test the /health endpoint returns ok status.""" async with AsyncClient(app=app, base_url="http://test") as ac:🧰 Tools
🪛 Ruff (0.11.9)
8-8: Missing docstring in public function
(D103)
src/tests/tests_factcheck_endpoint.py (1)
7-18: Add docstring and verify test claims are appropriate.The factcheck endpoint test logic is well-implemented, validating both response structure and verdict values. Consider adding a docstring for documentation.
@pytest.mark.asyncio async def test_factcheck_endpoint(): + """Test the /factcheck endpoint validates claims and returns structured responses.""" async with AsyncClient(app=app, base_url="http://test") as ac:🧰 Tools
🪛 Ruff (0.11.9)
8-8: Missing docstring in public function
(D103)
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📒 Files selected for processing (4)
src/tests/pytest.ini(1 hunks)src/tests/tests_factcheck_endpoint.py(1 hunks)src/tests/tests_health_endpoint.py(1 hunks)src/tests/tests_status.py(1 hunks)
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🪛 Ruff (0.11.9)
src/tests/tests_status.py
8-8: Missing docstring in public function
(D103)
src/tests/tests_factcheck_endpoint.py
8-8: Missing docstring in public function
(D103)
21-21: Module level import not at top of file
(E402)
22-22: Module level import not at top of file
(E402)
22-22: Redefinition of unused AsyncClient from line 4
Remove definition: AsyncClient
(F811)
23-23: Module level import not at top of file
(E402)
23-23: Redefinition of unused app from line 5
Remove definition: app
(F811)
26-26: Missing docstring in public function
(D103)
26-26: Redefinition of unused test_factcheck_endpoint from line 8
(F811)
src/tests/tests_health_endpoint.py
8-8: Missing docstring in public function
(D103)
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- GitHub Check: Codacy Static Code Analysis
🔇 Additional comments (1)
src/tests/pytest.ini (1)
1-3: LGTM! Standard pytest configuration.The pytest configuration is properly set up to discover test files in the tests directory following the standard naming convention.
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Actionable comments posted: 0
🧹 Nitpick comments (1)
src/tests/tests_factcheck_endpoint.py (1)
7-18: Add docstring and consider error handling improvements.The test function implementation is solid and follows async testing best practices. However, consider the following improvements:
- Add a docstring as suggested by the linter
- Consider testing error scenarios beyond just successful responses
@pytest.mark.asyncio async def test_factcheck_endpoint(): + """Test the /factcheck endpoint with a valid claim and verify response structure.""" async with AsyncClient(app=app, base_url="http://test") as ac:Would you like me to help create additional test cases for error scenarios (e.g., invalid payloads, server errors)?
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🪛 Ruff (0.11.9)
8-8: Missing docstring in public function
(D103)
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src/tests/tests_factcheck_endpoint.py(1 hunks)
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src/tests/tests_factcheck_endpoint.py
8-8: Missing docstring in public function
(D103)
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- GitHub Check: Codacy Static Code Analysis
🔇 Additional comments (1)
src/tests/tests_factcheck_endpoint.py (1)
1-5: LGTM! Clean import structure and file organization.The imports are properly structured and the file follows standard pytest conventions. The comment about adjusting the import based on project structure is helpful for maintainability.
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src/tests/tests_search_endpoint.py(1 hunks)
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🪛 Ruff (0.11.9)
src/tests/tests_search_endpoint.py
8-8: Missing docstring in public function
(D103)
⏰ Context from checks skipped due to timeout of 90000ms (1)
- GitHub Check: Codacy Static Code Analysis
| @pytest.mark.asyncio | ||
| async def test_search_endpoint(): | ||
| async with AsyncClient(app=app, base_url="http://test") as ac: | ||
| params = {"query": "climate change"} | ||
| response = await ac.get("/search", params=params) | ||
| assert response.status_code == 200 | ||
| data = response.json() | ||
| assert isinstance(data, list) | ||
| for item in data: | ||
| assert "title" in item | ||
| assert "url" in item |
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🛠️ Refactor suggestion
Enhance test coverage and add documentation.
The test implementation is solid but could benefit from several improvements:
- Missing docstring (as flagged by static analysis)
- Limited test scenarios - only tests the happy path
- Hard-coded test data - consider parameterizing
- Basic validation - could be more comprehensive
@pytest.mark.asyncio
async def test_search_endpoint():
+ """Test the /search endpoint returns expected JSON structure with search results."""
async with AsyncClient(app=app, base_url="http://test") as ac:
params = {"query": "climate change"}
response = await ac.get("/search", params=params)
assert response.status_code == 200
data = response.json()
assert isinstance(data, list)
for item in data:
assert "title" in item
+ assert isinstance(item["title"], str)
assert "url" in item
+ assert isinstance(item["url"], str)
+ assert item["url"].startswith(("http://", "https://"))Consider adding these additional test cases:
@pytest.mark.asyncio
@pytest.mark.parametrize("query", ["climate change", "AI technology", ""])
async def test_search_endpoint_various_queries(query):
"""Test search endpoint with different query parameters."""
async with AsyncClient(app=app, base_url="http://test") as ac:
params = {"query": query}
response = await ac.get("/search", params=params)
assert response.status_code == 200
data = response.json()
assert isinstance(data, list)
@pytest.mark.asyncio
async def test_search_endpoint_missing_query():
"""Test search endpoint behavior when query parameter is missing."""
async with AsyncClient(app=app, base_url="http://test") as ac:
response = await ac.get("/search")
# Assert expected behavior (400, 422, or default search results)
assert response.status_code in [200, 400, 422]🧰 Tools
🪛 Ruff (0.11.9)
8-8: Missing docstring in public function
(D103)
🤖 Prompt for AI Agents
In src/tests/tests_search_endpoint.py around lines 7 to 17, the test lacks a
docstring, only covers the happy path with hard-coded data, and performs basic
validation. Add a descriptive docstring to the existing test function. Introduce
parameterized tests to cover multiple query inputs including empty strings. Add
a separate test to verify the endpoint's behavior when the query parameter is
missing, asserting for expected status codes like 200, 400, or 422. Expand
assertions to validate response content more comprehensively.
fact_check tests
status check tests
healthcheck tests
Summary by CodeRabbit
/factcheck,/health, and/searchendpoints, ensuring correct responses and expected output formats.