Update Backend Tests Coverage #1256
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Summary by CodeRabbit
These updates enhance reliability and ensure a smoother, more consistent user experience. WalkthroughThis pull request makes several backend code updates and test suite enhancements. In the application logic, it adjusts error handling in the OpenAI integration, updates GitHub API methods and management commands, and changes import scopes in Slack commands and utils. It also refactors GitHub models by adding a helper method and modifying queryset filters. In parallel, the PR introduces numerous new tests and refactors existing ones across core, common, GitHub, Slack, and OWASP modules—with new fixtures, parameterized tests, and expanded coverage for API calls, GraphQL queries, and management commands. Changes
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Actionable comments posted: 8
🔭 Outside diff range comments (1)
frontend/docker/Dockerfile.local (1)
20-24:⚠️ Potential issueIncomplete
apt-get installCommand in Runtime StageSimilarly to the builder stage, the runtime stage has an
apt-get install -y --no-install-recommendscommand without any package names. Verify whether packages should be installed here as well—if so, please include the package list; otherwise, the command might be removed.
🧹 Nitpick comments (85)
backend/tests/slack/views_test.py (1)
21-24: Simplify the pytest fixture declaration.The fixture declaration can be simplified by removing the empty parentheses.
- @pytest.fixture() + @pytest.fixture def request_factory(self): """Request factory fixture.""" return RequestFactory()🧰 Tools
🪛 Ruff (0.8.2)
21-21: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/common/management/commands/generate_sitemap_test.py (4)
20-20: Use@pytest.fixturewithout empty parentheses.According to pytest best practices, there's no need to include empty parentheses in the fixture decorator when no arguments are provided.
-@pytest.fixture() +@pytest.fixtureApply this change to all fixture decorators in the file (lines 20, 29, 71, 93, 487).
Also applies to: 29-29, 71-71, 93-93, 487-487
🧰 Tools
🪛 Ruff (0.8.2)
20-20: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
484-586: Consider consolidating duplicate test classes.The file contains two test classes (
TestSitemapCommandandTestGenerateSitemap) that test the same functionality with different approaches. This creates redundant test coverage and may cause maintenance challenges.Consider merging these test classes into a single comprehensive test suite, or clearly document the purpose of each class if they're testing different aspects of the functionality.
478-478: Remove redundant docstring.This docstring appears in an unusual position and duplicates the docstring at the beginning of the file.
-"""Tests for the generate_sitemap management command."""
304-326: Use structured data comparison for complex assertions.Instead of asserting individual elements of complex data structures, consider using more structured comparison approaches for better test readability and maintainability.
- assert mock_create_url.call_count == EXPECTED_URL_COUNT - mock_create_url.assert_any_call( - { - "loc": f"{settings.SITE_URL}/test1", - "lastmod": datetime.now(timezone.utc).strftime("%Y-%m-%d"), - "changefreq": "daily", - "priority": "0.9", - } - ) - mock_create_url.assert_any_call( - { - "loc": f"{settings.SITE_URL}/test2", - "lastmod": datetime.now(timezone.utc).strftime("%Y-%m-%d"), - "changefreq": "weekly", - "priority": "0.8", - } - ) + expected_calls = [ + mock.call({ + "loc": f"{settings.SITE_URL}/test1", + "lastmod": datetime.now(timezone.utc).strftime("%Y-%m-%d"), + "changefreq": "daily", + "priority": "0.9", + }), + mock.call({ + "loc": f"{settings.SITE_URL}/test2", + "lastmod": datetime.now(timezone.utc).strftime("%Y-%m-%d"), + "changefreq": "weekly", + "priority": "0.8", + }) + ] + assert mock_create_url.call_count == EXPECTED_URL_COUNT + mock_create_url.assert_has_calls(expected_calls, any_order=True)This pattern can be applied to similar test methods throughout the file.
backend/tests/github/common_test.py (3)
33-105: Refactor complex setUp method into smaller helper methods.The setUp method is quite long and complex. For better readability and maintainability, consider breaking it down into smaller, focused helper methods.
def setUp(self): """Set up test data.""" self.project = MockProject() + self._setup_github_mocks() + self._setup_patches() + self._setup_mock_objects() + self._setup_returns() + self._setup_additional_patches() +def _setup_github_mocks(self): self.gh_repository = mock.MagicMock() self.gh_repository.name = "test-repo" self.gh_repository.is_archived = False self.gh_repository.owner = mock.MagicMock() self.gh_organization = mock.MagicMock() self.gh_organization.login = "test-org" self.gh_owner = mock.MagicMock() self.gh_owner.login = "test-user" self.gh_repository.organization = self.gh_organization self.gh_repository.owner = self.gh_owner +def _setup_patches(self): self.org_update_patch = mock.patch( "apps.github.models.organization.Organization.update_data" ) # ... rest of patchesThis approach makes the setup more modular and easier to understand.
128-146: Extract common mock setup into a helper method.Many test methods repeat the same setup for the mock repository. Extract this common setup into a helper method to avoid repetition and improve maintainability.
+def _setup_common_repo_mocks(self): + """Set up common mock returns for repository methods.""" + self.gh_repository.get_commits.return_value = [] + self.gh_repository.get_contributors.return_value = [] + self.gh_repository.get_languages.return_value = {"Python": 1000} + self.gh_repository.get_issues.return_value = [] + self.gh_repository.get_releases.return_value = [] def test_sync_repository_basic(self): """Test basic repository sync.""" - self.gh_repository.get_commits.return_value = [] - self.gh_repository.get_contributors.return_value = [] - self.gh_repository.get_languages.return_value = {"Python": 1000} - self.gh_repository.get_issues.return_value = [] - self.gh_repository.get_releases.return_value = [] + self._setup_common_repo_mocks() organization, repository = sync_repository(self.gh_repository)Apply this pattern to other test methods for cleaner, more maintainable code.
338-368: Test more exception cases for error handling robustness.The test_sync_repository_label_exception method handles the UnknownObjectException case, but there could be more thorough testing of error handling in different scenarios.
Consider adding tests for:
- Different exception types
- Exceptions at different stages of the sync process
- Recovery after certain types of exceptions
This will ensure the code handles failures gracefully in all scenarios.
backend/tests/github/graphql/nodes/repository_test.py (3)
145-157: Ensure consistent test structure across resolver tests.Some resolver tests check field type and then the resolver function, while others only test the resolver. Make test structure consistent for better maintainability.
The pattern used in tests like
test_resolve_languagesandtest_resolve_topicsincludes:
- Checking field existence and type
- Testing the resolver function
Apply this pattern consistently to all resolver tests, including this one.
145-170: Consider using parametrized tests for similar resolver tests.Tests for resolvers like
test_resolve_latest_release,test_resolve_owner_key, andtest_resolve_urlfollow almost identical patterns and could be consolidated using pytest's parametrize feature.@pytest.mark.parametrize("field_name,field_value,expected_type", [ ("latest_release", "v1.0.0", "String"), ("owner_key", "owner123", "String"), ("url", "https://github.com/example/repo", "String"), ]) def test_resolve_simple_fields(self, mocker, field_name, field_value, expected_type): field = RepositoryNode._meta.fields.get(field_name) assert field is not None assert str(field.type) == expected_type node = RepositoryNode(MagicMock()) setattr(node, field_name, field_value) resolver_method = getattr(node, f"resolve_{field_name}") result = resolver_method(None) assert result == field_valueThis approach reduces code duplication and makes it easier to add tests for new simple resolvers.
79-97: Use context managers for better test organization.When setting up complex mocks for a test, consider using context managers to better organize the test and ensure proper cleanup.
- node = RepositoryNode(MagicMock()) - - mock_issues = MagicMock() - mock_select_related = MagicMock() - mock_order_by = MagicMock() - - mock_issues.select_related.return_value = mock_select_related - mock_select_related.order_by.return_value = mock_order_by - mock_order_by.__getitem__.return_value = ["issue1", "issue2"] - - node.issues = mock_issues - - result = node.resolve_issues(None) - - mock_issues.select_related.assert_called_once_with("author") - mock_select_related.order_by.assert_called_once_with("-created_at") - mock_order_by.__getitem__.assert_called_once_with(slice(None, RECENT_ISSUES_LIMIT)) - assert result == ["issue1", "issue2"] + with mocker.patch.object(mocker.MagicMock, "__getitem__", return_value=["issue1", "issue2"]): + node = RepositoryNode(MagicMock()) + + mock_issues = MagicMock() + mock_select_related = MagicMock() + mock_order_by = MagicMock() + + mock_issues.select_related.return_value = mock_select_related + mock_select_related.order_by.return_value = mock_order_by + + node.issues = mock_issues + + result = node.resolve_issues(None) + + mock_issues.select_related.assert_called_once_with("author") + mock_select_related.order_by.assert_called_once_with("-created_at") + mock_order_by.__getitem__.assert_called_once_with(slice(None, RECENT_ISSUES_LIMIT)) + assert result == ["issue1", "issue2"]This approach makes test setup and assertions more clearly delineated.
backend/tests/owasp/management/commands/owasp_update_sponsors_test.py (3)
17-17: Use@pytest.fixturewithout empty parentheses.According to pytest best practices, there's no need to include empty parentheses in the fixture decorator when no arguments are provided.
-@pytest.fixture() +@pytest.fixtureApply this change to both fixture decorators in the file.
Also applies to: 22-22
🧰 Tools
🪛 Ruff (0.8.2)
17-17: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
101-118: Focus tests on behavior rather than implementation details.The test
test_expandtabs_called_on_contentverifies that a specific method is called on content, which tightly couples the test to the implementation. If the implementation changes but the behavior remains the same, the test will fail unnecessarily.Consider restructuring this test to focus on the outcome (YAML content is properly processed) rather than the specific method call:
@patch("apps.owasp.management.commands.owasp_update_sponsors.get_repository_file_content") def test_content_properly_processed_for_yaml(self, mock_get_repo_content): """Test that content with tabs is properly processed for YAML parsing.""" # Content with tabs that would cause YAML parsing issues content_with_tabs = "sponsor:\n\tname: Test\n\tlevel: Gold" mock_get_repo_content.return_value = content_with_tabs with patch( "apps.owasp.management.commands.owasp_update_sponsors.yaml.safe_load" ) as mock_yaml_safe_load, patch.object(Sponsor, "bulk_save"): # Ensure YAML parsing succeeds when command is run command = Command() command.handle() # Verify YAML was called with processable content mock_yaml_safe_load.assert_called_once() # We don't care how the content was processed, just that it was processed assert mock_yaml_safe_load.call_args[0][0] != content_with_tabsThis approach tests the behavior (YAML content is properly processed) rather than the implementation detail (expandtabs is called).
31-52: Extract common test setup to a fixture.Multiple test methods have similar setup code for mocking the repository content and sponsor model. Consider extracting this to a fixture for better code reuse.
@pytest.fixture def setup_command_mocks(self, sample_sponsors_data): """Set up common mocks used by multiple tests.""" with patch("apps.owasp.management.commands.owasp_update_sponsors.get_repository_file_content") as mock_get_repo_content, \ patch("apps.owasp.management.commands.owasp_update_sponsors.Sponsor") as mock_sponsor: mock_get_repo_content.return_value = yaml.dump(sample_sponsors_data) mock_sponsor.update_data = Mock(side_effect=lambda s: s) mock_sponsor.bulk_save = Mock() yield mock_get_repo_content, mock_sponsorThis fixture can then be used in test methods to reduce duplication and improve maintainability.
backend/tests/slack/common/handlers/contribute_test.py (1)
11-41: Test fixtures look well-structured.The test fixtures provide good test data for different scenarios. The mock data includes all necessary fields for testing the handler functionality.
You can simplify the fixture declarations by removing empty parentheses:
-@pytest.fixture() +@pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
12-12: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
27-27: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/actions/home_test.py (1)
32-40: Improved fixtures for better test organization.Replacing the previous
mock_bodywith separatemock_ackandmock_body_templatefixtures improves test clarity and reduces duplication.You can simplify the fixture declarations by removing empty parentheses:
-@pytest.fixture() +@pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
35-35: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/owasp/models/sponsor_test.py (1)
10-24: Well-structured sponsor data fixture.The fixture provides complete test data for a sponsor, which enables reuse across multiple tests.
You can simplify the fixture declaration by removing empty parentheses:
-@pytest.fixture() +@pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
11-11: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/commands/sponsor_test.py (1)
10-10: Style improvement: Remove empty parentheses from pytest fixtures.According to pytest best practices, fixtures should be declared without empty parentheses.
- @pytest.fixture() + @pytest.fixtureAlso applies to: 16-16
🧰 Tools
🪛 Ruff (0.8.2)
10-10: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/github/index/release_test.py (2)
19-24: Consider verifying update_synonyms class method behaviorWhile the test ensures
reindex_synonymsis called with correct parameters, it's also important to verify the behavior when no client is provided, asupdate_synonymsis a class method.Consider adding an additional test case for when no client is explicitly provided to ensure the method handles that case correctly:
def test_update_synonyms_without_explicit_client(self): with patch("apps.common.index.IndexBase.get_client") as mock_get_client: mock_get_client.return_value = self.client with patch("apps.common.index.IndexBase.reindex_synonyms") as mock_reindex_synonyms: ReleaseIndex.update_synonyms() mock_get_client.assert_called_once() mock_reindex_synonyms.assert_called_once_with("github", "releases")
25-37:❓ Verification inconclusive
Complete but could verify related records preloading
The test verifies the correct filter arguments but doesn't check if any prefetch_related or select_related calls are made, which are important for performance optimization.
If the ReleaseIndex.get_entities method includes preloading related records, consider expanding the test to verify this behavior:
def test_get_entities(self): mock_filter = MagicMock() mock_prefetch = MagicMock() # Mock for potential prefetch_related call with patch("apps.github.models.release.Release.objects") as mock_objects: mock_objects.filter.return_value = mock_filter mock_filter.prefetch_related.return_value = mock_prefetch # Setup for prefetch chain result = self.release_index.get_entities() mock_objects.filter.assert_called_once_with( is_draft=False, published_at__isnull=False, ) # Verify if prefetch_related is called with expected arguments # Uncomment and modify if the method uses prefetch_related # mock_filter.prefetch_related.assert_called_once_with("expected_relation") # assert result == mock_prefetch
🏁 Script executed:
#!/bin/bash # Check if get_entities in ReleaseIndex uses prefetch_related or select_related rg -A 10 'def get_entities' apps/github/index/release.pyLength of output: 127
Action: Verify
get_entitiesPreloading BehaviorThe current test correctly verifies the filter arguments in the
get_entitiesmethod. However, it doesn't check for any chaining ofprefetch_relatedorselect_relatedcalls. Since the file lookup forReleaseIndex.get_entitiesin the specified path did not yield results, it’s unclear whether the method includes preloading of related records.
- Please manually verify whether the
get_entitiesmethod in the appropriate module (possibly under a different path) usesprefetch_relatedorselect_related.- If preloading is implemented, update the test to assert the chaining of these methods (similar to the suggested snippet).
- If not, the current test remains sufficient.
backend/apps/slack/models/event.py (1)
36-49: Improved text parsing with more robust error handlingThe updated parsing logic correctly handles edge cases when splitting the text and provides appropriate fallbacks.
The code is now more robust, but could be further simplified by combining similar code paths:
if command and command == OWASP_COMMAND: try: parts = text.strip().split(maxsplit=1) if parts and parts[0]: self.command = parts[0] self.text = parts[1] if len(parts) > 1 else "" else: - self.command = OWASP_COMMAND.lstrip("/") - self.text = text + # Fall through to default case + raise ValueError("No command parts found") except ValueError: self.command = OWASP_COMMAND.lstrip("/") self.text = text else: self.text = textThis reduces duplication and centralizes the default command setting logic.
backend/tests/github/api/user_test.py (1)
68-74: Use @pytest.fixture instead of @pytest.fixture().Remove the parentheses from the fixture decorator for better adherence to pytest conventions.
- @pytest.fixture() + @pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
69-69: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/events/user_joined_channel/catch_all_test.py (1)
10-13: Use @pytest.fixture instead of @pytest.fixture().Remove the parentheses from the fixture decorator for better adherence to pytest conventions.
- @pytest.fixture() + @pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
11-11: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/owasp/models/snapshot_test.py (1)
12-12: Use@pytest.fixturewithout parenthesesThe static analysis tool identified using empty parentheses in the fixture decorator, which is unnecessary.
- @pytest.fixture() + @pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
12-12: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/commands/committees_test.py (3)
22-22: Use@pytest.fixturewithout parenthesesThe static analysis tool identified using empty parentheses in the fixture decorator, which is unnecessary.
- @pytest.fixture() + @pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
22-22: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
26-26: Use@pytest.fixturewithout parenthesesThe static analysis tool identified using empty parentheses in the fixture decorator, which is unnecessary.
- @pytest.fixture() + @pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
26-26: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
92-95: Consider using the existing fixture instead of re-patchingThe code is patching
apps.slack.common.handlers.committees.get_blockswhich is already mocked by themock_get_blocksfixture at lines 32-39. Consider using the fixture directly to avoid potential conflicts.- with patch( - "apps.slack.common.handlers.committees.get_blocks", - return_value=mock_get_blocks.return_value, - ): + # No need for additional patching as mock_get_blocks is already applied via fixturebackend/tests/slack/commands/board_test.py (3)
10-10: Use@pytest.fixturewithout parenthesesThe static analysis tool identified using empty parentheses in the fixture decorator, which is unnecessary.
- @pytest.fixture() + @pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
10-10: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
14-14: Use@pytest.fixturewithout parenthesesThe static analysis tool identified using empty parentheses in the fixture decorator, which is unnecessary.
- @pytest.fixture() + @pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
14-14: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
42-42: Consider a more precise assertion for message contentThe assertion using
any("Global board" in str(block) for block in blocks)might be fragile if text changes slightly. Consider a more specific check if possible.- assert any("Global board" in str(block) for block in blocks) + # More specific assertion checking the exact structure or key elements + # For example, if blocks are dictionaries with specific keys: + assert any( + block.get("type") == "section" and + "Global board" in str(block.get("text", {})) + for block in blocks + )backend/tests/slack/commands/contact_test.py (2)
11-16: Fixture defined with parentheses.The fixture definition includes empty parentheses which are unnecessary according to best practices.
-@pytest.fixture() +@pytest.fixture def mock_command(self): return { "text": "", "user_id": "U123456", }🧰 Tools
🪛 Ruff (0.8.2)
11-11: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
18-22: Fixture defined with parentheses.The fixture definition includes empty parentheses which are unnecessary according to best practices.
-@pytest.fixture() +@pytest.fixture def mock_client(self): client = MagicMock() client.conversations_open.return_value = {"channel": {"id": "C123456"}} return client🧰 Tools
🪛 Ruff (0.8.2)
18-18: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/commands/projects_test.py (2)
88-94: Fixture defined with parentheses and overlaps with existing fixture.The fixture definition includes empty parentheses, and it seems to duplicate functionality with the existing
mock_commandfixture at lines 26-30, but with a different name and slightly different default text.Consider consolidating the two fixtures or clarifying their distinct purposes:
-@pytest.fixture() +@pytest.fixture def mock_slack_command(self): return { "user_id": "U123456", - "text": "test query", + "text": "test query", # Distinct from mock_command which has empty text }🧰 Tools
🪛 Ruff (0.8.2)
88-88: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
95-99: Fixture defined with parentheses and overlaps with existing fixture.This fixture duplicates functionality with the existing
mock_clientfixture at lines 33-36, but with a different name.Consider consolidating the two fixtures:
-@pytest.fixture() -def mock_slack_client(self): - client = MagicMock() - client.conversations_open.return_value = {"channel": {"id": "C123456"}} - return clientAnd update references to use the existing
mock_clientfixture.🧰 Tools
🪛 Ruff (0.8.2)
95-95: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/commands/owasp_test.py (2)
125-130: Fixture defined with parentheses and overlaps with existing fixture.The fixture definition includes empty parentheses, and it seems to duplicate functionality with the existing
mock_commandfixture at lines 11-15, but with a different name.Consider consolidating the two fixtures:
-@pytest.fixture() -def mock_slack_command(self): - return { - "user_id": "U123456", - "text": "", - }And update references to use the existing
mock_commandfixture.🧰 Tools
🪛 Ruff (0.8.2)
125-125: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
132-136: Fixture defined with parentheses and overlaps with existing fixture.This fixture duplicates functionality with the existing
mock_clientfixture at lines 17-21, but with a different name.Consider consolidating the two fixtures:
-@pytest.fixture() -def mock_slack_client(self): - client = MagicMock() - client.conversations_open.return_value = {"channel": {"id": "C123456"}} - return clientAnd update references to use the existing
mock_clientfixture.🧰 Tools
🪛 Ruff (0.8.2)
132-132: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/commands/news_test.py (1)
10-11: Fix pytest fixture decorators for improved code style.According to the static analysis tool, it's recommended to use
@pytest.fixturewithout parentheses when no parameters are needed.-@pytest.fixture() +@pytest.fixtureAlso applies to: 17-18, 23-24
🧰 Tools
🪛 Ruff (0.8.2)
10-10: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/github/graphql/queries/release_test.py (1)
13-13: Fix pytest fixture decorator for improved code style.According to the static analysis tool, it's recommended to use
@pytest.fixturewithout parentheses when no parameters are needed.-@pytest.fixture() +@pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
13-13: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/github/graphql/queries/issue_test.py (1)
14-14: Fix pytest fixture decorators for improved code style.According to the static analysis tool, it's recommended to use
@pytest.fixturewithout parentheses when no parameters are needed.-@pytest.fixture() +@pytest.fixtureAlso applies to: 20-20, 30-30, 40-40
🧰 Tools
🪛 Ruff (0.8.2)
14-14: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/commands/policies_test.py (1)
12-12: Fix pytest fixture decorators for improved code style.According to the static analysis tool, it's recommended to use
@pytest.fixturewithout parentheses when no parameters are needed.-@pytest.fixture() +@pytest.fixtureAlso applies to: 18-18
🧰 Tools
🪛 Ruff (0.8.2)
12-12: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/blocks_test.py (1)
12-12: Use@pytest.fixturewithout parentheses-@pytest.fixture() +@pytest.fixtureThis is a minor style improvement.
backend/tests/slack/common/handlers/projects_test.py (1)
229-245: Consider clarifying the edge case being testedThe
test_pagination_edge_casemethod tests whenget_pagination_buttonsreturnsNone, but it's not immediately clear what specific edge case this is simulating. Consider adding a comment to explain the specific edge case.backend/tests/github/graphql/queries/repository_contributor_test.py (2)
24-24: Use@pytest.fixturewithout parentheses-@pytest.fixture() +@pytest.fixtureThis is a minor style improvement recommended by static analysis.
🧰 Tools
🪛 Ruff (0.8.2)
24-24: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
46-72: Consider testing for empty resultsThe test for
resolve_top_contributorscovers the successful case, but doesn't test how the function handles empty results. Consider adding a test case for when the query returns an empty list of contributors.def test_resolve_top_contributors_empty_results(): query = RepositoryContributorQuery() with patch( "apps.github.models.repository_contributor.RepositoryContributor.objects" ) as mock_manager: mock_qs = MagicMock() mock_manager.by_humans.return_value = mock_qs mock_qs.to_community_repositories.return_value = mock_qs mock_qs.filter.return_value = mock_qs mock_qs.annotate.return_value = mock_qs mock_qs.values.return_value = mock_qs mock_qs.order_by.return_value = [] result = query.resolve_top_contributors(None, 15) assert len(result) == 0backend/tests/slack/models/event_test.py (2)
12-12: Use@pytest.fixturewithout parentheses-@pytest.fixture() +@pytest.fixtureThis is a minor style improvement.
🧰 Tools
🪛 Ruff (0.8.2)
12-12: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
131-261: Duplicate test cases across classesThere is significant duplication in test coverage between the standalone test functions, the
EventModelTestclass, and theTestEventclass. All three approaches test similar functionality of theEventmodel.Consider consolidating the tests into a single approach to reduce duplication and improve maintainability. The
TestEventclass using pytest-style tests seems more maintainable than the DjangoTestCaseapproach with extensive mocking.backend/tests/slack/commands/sponsors_test.py (2)
51-65: RedundantMockSponsorclass definition.There's unnecessary duplication here. A
MockSponsorclass is already defined at lines 12-17, but a new one is created within this fixture. Consider reusing the existing class.@pytest.fixture() def mock_sponsors(self): - class MockSponsor: - def __init__(self, name, url, member_type, description): - self.name = name - self.url = url - self.member_type = member_type - self.description = description - return [ - MockSponsor( - "Sponsor 1", "https://example.com/sponsor1", "Diamond", "Description for sponsor 1" - ), - MockSponsor("Sponsor 2", None, "Gold", "Description for sponsor 2"), + MockSponsor( + name="Sponsor 1", + url="https://example.com/sponsor1", + member_type="Diamond", + description="Description for sponsor 1" + ), + MockSponsor( + name="Sponsor 2", + url=None, + member_type="Gold", + description="Description for sponsor 2" + ), ]🧰 Tools
🪛 Ruff (0.8.2)
51-51: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
51-51: Fix pytest fixture declaration.Remove empty parentheses from
@pytest.fixture()as per static analysis recommendation.-@pytest.fixture() +@pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
51-51: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/commands/donate_test.py (2)
11-16: Well-structured mock command fixture.The fixture correctly provides a mock Slack command with the necessary fields. However, it should use
@pytest.fixturewithout parentheses.-@pytest.fixture() +@pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
11-11: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
18-22: Well-structured mock client fixture.The fixture correctly creates a mock Slack client with the appropriate return values for the conversations_open method. However, it should use
@pytest.fixturewithout parentheses.-@pytest.fixture() +@pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
18-18: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/commands/jobs_test.py (2)
11-16: Well-structured mock command fixture.The fixture correctly provides a mock Slack command with the necessary fields. However, it should use
@pytest.fixturewithout parentheses.-@pytest.fixture() +@pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
11-11: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
18-22: Well-structured mock client fixture.The fixture correctly creates a mock Slack client with the appropriate return values for the conversations_open method. However, it should use
@pytest.fixturewithout parentheses.-@pytest.fixture() +@pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
18-18: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/commands/users_test.py (2)
10-15: Well-structured mock Slack command fixture.The fixture correctly provides a mock Slack command with a user ID and test query. However, it should use
@pytest.fixturewithout parentheses.-@pytest.fixture() +@pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
10-10: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
17-21: Well-structured mock Slack client fixture.The fixture correctly creates a mock Slack client with the appropriate return values for the conversations_open method. However, it should use
@pytest.fixturewithout parentheses.-@pytest.fixture() +@pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
17-17: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/commands/chapters_test.py (1)
10-10: Minor style improvement for pytest fixtures.Consider removing the parentheses from empty
@pytest.fixture()decorators to follow pytest best practices.-@pytest.fixture() +@pytest.fixtureAlso applies to: 23-23, 27-27, 33-33
backend/tests/slack/common/handlers/users_test.py (1)
10-10: Minor style improvement for pytest fixtures.Consider removing the parentheses from empty
@pytest.fixture()decorators to follow pytest best practices.-@pytest.fixture() +@pytest.fixtureAlso applies to: 33-33, 40-40
🧰 Tools
🪛 Ruff (0.8.2)
10-10: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/commands/community_test.py (1)
10-10: Minor style improvement for pytest fixtures.Consider removing the parentheses from empty
@pytest.fixture()decorators to follow pytest best practices.-@pytest.fixture() +@pytest.fixtureAlso applies to: 17-17
🧰 Tools
🪛 Ruff (0.8.2)
10-10: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/common/handlers/chapters_test.py (2)
164-193: Redundant pagination edge case tests.
test_none_pagination_return_valueandtest_empty_pagination_listtest similar edge cases and have almost identical assertions. Consider consolidating them into a parameterized test for better maintainability.-def test_none_pagination_return_value(self, setup_mocks, mock_chapter_data): - """Test handling when pagination buttons function returns None.""" - mock_chapter_data["nbPages"] = 2 - setup_mocks["get_chapters"].return_value = mock_chapter_data - presentation = EntityPresentation(include_pagination=True) - - with patch( - "apps.slack.common.handlers.chapters.get_pagination_buttons" - ) as mock_pagination: - mock_pagination.return_value = None - blocks = get_blocks(page=1, presentation=presentation) - - assert all(block.get("type") != "actions" for block in blocks) - assert mock_pagination.called - -def test_empty_pagination_list(self, setup_mocks, mock_chapter_data): - """Test handling when pagination buttons function returns an empty list.""" - mock_chapter_data["nbPages"] = 2 - setup_mocks["get_chapters"].return_value = mock_chapter_data - presentation = EntityPresentation(include_pagination=True) - - with patch( - "apps.slack.common.handlers.chapters.get_pagination_buttons" - ) as mock_pagination: - mock_pagination.return_value = [] - blocks = get_blocks(page=1, presentation=presentation) - - assert all(block.get("type") != "actions" for block in blocks) - assert mock_pagination.called +@pytest.mark.parametrize( + "pagination_return_value, test_id", + [ + (None, "none_return_value"), + ([], "empty_list"), + ], + ids=["none_return_value", "empty_list"], +) +def test_pagination_edge_cases( + self, setup_mocks, mock_chapter_data, pagination_return_value, test_id +): + """Test handling when pagination buttons function returns None or empty list.""" + mock_chapter_data["nbPages"] = 2 + setup_mocks["get_chapters"].return_value = mock_chapter_data + presentation = EntityPresentation(include_pagination=True) + + with patch( + "apps.slack.common.handlers.chapters.get_pagination_buttons" + ) as mock_pagination: + mock_pagination.return_value = pagination_return_value + blocks = get_blocks(page=1, presentation=presentation) + + assert all(block.get("type") != "actions" for block in blocks) + assert mock_pagination.called
151-163: Add descriptive docstring to test method.The test
test_pagination_edge_casewould benefit from a docstring explaining what specific edge case is being tested, similar to your other test methods.def test_pagination_edge_case(self, setup_mocks, mock_chapter_data): + """Test handling when pagination buttons function returns None for the last page.""" mock_chapter_data["nbPages"] = 2 setup_mocks["get_chapters"].return_value = mock_chapter_data presentation = EntityPresentation(include_pagination=True)backend/tests/github/models/managers/issue_manager_test.py (3)
11-14: Style suggestion: Remove parentheses from fixture decorator.According to pytest best practices,
@pytest.fixtureis preferred over@pytest.fixture().- @pytest.fixture() + @pytest.fixture def mock_queryset(self): return MagicMock()🧰 Tools
🪛 Ruff (0.8.2)
11-11: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
15-20: Style suggestion: Remove parentheses from fixture decorator.According to pytest best practices,
@pytest.fixtureis preferred over@pytest.fixture().- @pytest.fixture() + @pytest.fixture def open_issue_manager(self, mock_queryset): manager = OpenIssueManager() manager.get_queryset = MagicMock(return_value=mock_queryset) return manager🧰 Tools
🪛 Ruff (0.8.2)
15-15: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
46-54:❓ Verification inconclusive
Consider verifying filter arguments in the assignable property test.
While the test confirms the method is called and returns the correct result, it would be more complete if it also verified what arguments are passed to the filter method.
def test_assignable_property(self, open_issue_manager, mock_queryset): mock_filtered = MagicMock() mock_queryset.filter.return_value = mock_filtered result = open_issue_manager.assignable - mock_queryset.filter.assert_called_once() + mock_queryset.filter.assert_called_once_with(assignees__isnull=True) assert result == mock_filtered
🏁 Script executed:
#!/bin/bash # Let's check the implementation of the assignable property in the OpenIssueManager class rg -A 2 "def assignable" --type py apps/github/models/managers/Length of output: 134
I'll execute a broader search to locate the definition of the
assignableproperty in the repository.
🏁 Script executed:
#!/bin/bash # Let's search for "class OpenIssueManager" in the repository. rg -A 3 "class OpenIssueManager" --type pyLength of output: 316
I'll run a script to search for the
assignableproperty in the file whereOpenIssueManageris defined.
🏁 Script executed:
#!/bin/bash # Search for the assignable property definition in the OpenIssueManager class rg -A 5 "def assignable" backend/apps/github/models/managers/issue.pyLength of output: 282
Action Required: Verify and Update Filter Argument Verification in Test
Currently, the test for the
assignableproperty checks that thefiltermethod is called but does not verify the actual filtering criteria. The suggestion is to assert that the filter is called with the correct arguments (e.g.,assignees__isnull=True). However, the full implementation of theassignableproperty wasn’t completely captured, so please double-check the intended filter conditions inbackend/apps/github/models/managers/issue.py.
Next Steps:
- Review the complete
assignableproperty implementation to confirm whether it only filters onassignees__isnull=Trueor if additional conditions (such as checking for inactivity over 90 days) are applied.- Update the test accordingly. For example, if the only filter is
assignees__isnull=True, modify the assertion as follows:def test_assignable_property(self, open_issue_manager, mock_queryset): mock_filtered = MagicMock() mock_queryset.filter.return_value = mock_filtered result = open_issue_manager.assignable - mock_queryset.filter.assert_called_once() + mock_queryset.filter.assert_called_once_with(assignees__isnull=True) assert result == mock_filteredCaution: If there are additional filter conditions, include all of them in the assertion.
backend/tests/github/models/managers/repository_contributor_test.py (2)
12-16: LGTM! Good test class setup with suggested style fix.The test class is well-structured with proper use of fixtures and mocking. Consider removing parentheses from the fixture decorator per pytest best practices:
- @pytest.fixture() + @pytest.fixture def repo_contributor_qs(self): return MagicMock(spec=RepositoryContributorQuerySet)🧰 Tools
🪛 Ruff (0.8.2)
13-13: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
32-39: LGTM! Good test class setup with suggested style fix.The manager test class is well-structured with proper use of fixtures. Consider removing parentheses from the fixture decorator per pytest best practices:
- @pytest.fixture() + @pytest.fixture def repo_contributor_manager(self): manager = MagicMock(spec=RepositoryContributorManager) manager.model = MagicMock() manager._db = None return manager🧰 Tools
🪛 Ruff (0.8.2)
33-33: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/owasp/management/commands/owasp_update_events_test.py (1)
14-45: LGTM! Well-defined fixture with suggested style fix.The mock_yaml_data fixture provides comprehensive test data with a good structure. Consider removing parentheses from the fixture decorator per pytest best practices:
-@pytest.fixture() +@pytest.fixture def mock_yaml_data(): """Return mock YAML data for events.""" return [ # fixture data ]🧰 Tools
🪛 Ruff (0.8.2)
15-15: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/commands/contribute_test.py (1)
30-36: Use@pytest.fixturewithout parentheses.According to Pytest best practices, empty parentheses should be omitted.
- @pytest.fixture() + @pytest.fixture def mock_contribute_blocks(self):🧰 Tools
🪛 Ruff (0.8.2)
30-30: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/github/management/commands/github_update_project_related_repositories_test.py (3)
12-13: Consider using a more descriptive constant name.Instead of
magic_value_two, consider using a more descriptive name that explains the purpose of this constant, such asEXPECTED_CALL_COUNTorNUM_TEST_REPOSITORIES.-magic_value_two = 2 +# Number of test repositories used in multiple_related_urls test +NUM_TEST_REPOSITORIES = 2
314-315: Update variable references to use the new constant name.After renaming the constant as suggested earlier, update the references here as well.
- assert mock_gh_client.get_repo.call_count == magic_value_two - assert mock_sync_repository.call_count == magic_value_two + assert mock_gh_client.get_repo.call_count == NUM_TEST_REPOSITORIES + assert mock_sync_repository.call_count == NUM_TEST_REPOSITORIES
320-320: Update variable reference to use the new constant name.After renaming the constant as suggested earlier, update this reference as well.
- assert mock_project.repositories.add.call_count == magic_value_two + assert mock_project.repositories.add.call_count == NUM_TEST_REPOSITORIESbackend/tests/slack/commands/gsoc_test.py (1)
31-39: Use@pytest.fixturewithout parentheses.Similar to the contribute_test.py file, empty parentheses should be omitted in pytest fixtures.
- @pytest.fixture() + @pytest.fixture def mock_gsoc_projects(self):🧰 Tools
🪛 Ruff (0.8.2)
31-31: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/events/url_verification_test.py (1)
9-22: Consider removing unnecessary parentheses from fixture decorators.The static analysis tool correctly flags the use of empty parentheses in fixture decorators.
-@pytest.fixture() +@pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
9-9: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
16-16: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/commands/events_test.py (1)
45-58: Consider removing unnecessary parentheses from fixture decorators.The static analysis tool correctly flags the use of empty parentheses in fixture decorators.
-@pytest.fixture() +@pytest.fixtureAlso applies to: 69-79
🧰 Tools
🪛 Ruff (0.8.2)
45-45: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
52-52: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
58-58: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/github/models/label_test.py (2)
9-11: Good addition of thelabelfixture!This fixture improves test readability and reduces duplication by providing a clean Label instance for each test.
Consider using
@pytest.fixtureinstead of@pytest.fixture()(without parentheses) as recommended by Ruff.- @pytest.fixture() + @pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
9-9: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
13-20: Well-structured GitHub label mock fixture!This fixture provides a comprehensive mock with all necessary attributes including the raw_data dictionary with node_id, which simplifies test setup.
Consider using
@pytest.fixtureinstead of@pytest.fixture()(without parentheses).- @pytest.fixture() + @pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
13-13: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/common/index_test.py (1)
81-94: Excellent fixture for mocking database settings!This fixture prevents database connection errors during tests by mocking the necessary environment variables.
Consider using
@pytest.fixtureinstead of@pytest.fixture()(without parentheses) as recommended by Ruff.- @pytest.fixture() + @pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
81-81: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/commands/leaders_test.py (3)
11-15: Improved command fixture!Renaming to
mock_commandand setting the text to an empty string makes the tests more flexible.Consider using
@pytest.fixtureinstead of@pytest.fixture()(without parentheses) as recommended by Ruff.- @pytest.fixture() + @pytest.fixture
24-28: Good addition of chapter mocking fixture!This fixture efficiently mocks the chapter retrieval functionality for testing.
Consider using
@pytest.fixtureinstead of@pytest.fixture()(without parentheses).- @pytest.fixture() + @pytest.fixture
30-34: Good addition of project mocking fixture!This fixture efficiently mocks the project retrieval functionality for testing.
Consider using
@pytest.fixtureinstead of@pytest.fixture()(without parentheses).- @pytest.fixture() + @pytest.fixturebackend/tests/github/management/commands/github_enrich_issues_test.py (3)
15-18: Remove unnecessary parentheses from @pytest.fixture.The parentheses in
@pytest.fixture()are not needed as there are no arguments being passed to the decorator.- @pytest.fixture() + @pytest.fixture def command(self): """Return a command instance for testing.""" return Command()🧰 Tools
🪛 Ruff (0.8.2)
15-15: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
20-25: Remove unnecessary parentheses from @pytest.fixture.Similar to the previous fixture, the parentheses are unnecessary here.
- @pytest.fixture() + @pytest.fixture def mock_issue(self): """Return a mock issue instance.""" issue = mock.Mock(spec=Issue) issue.title = "Test Issue" return issue🧰 Tools
🪛 Ruff (0.8.2)
20-20: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
253-281: Duplicate test with test_handle_with_empty_issues_list.This test appears to duplicate functionality that's already tested in the
test_handle_with_empty_issues_listmethod at lines 175-207. Consider consolidating these tests or clarifying the distinct scenarios they're testing.backend/tests/common/open_ai_test.py (1)
21-25: Remove unnecessary parentheses from pytest.fixture.As noted by the static analysis tool, the parentheses are not needed here.
- @pytest.fixture() + @pytest.fixture def openai_instance(self, monkeypatch):🧰 Tools
🪛 Ruff (0.8.2)
21-21: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/owasp/scraper_test.py (3)
11-16: Remove unnecessary parentheses from pytest.fixture.As noted by the static analysis tool, the parentheses are not needed when there are no arguments to the fixture decorator.
- @pytest.fixture() + @pytest.fixture def mock_session(self):🧰 Tools
🪛 Ruff (0.8.2)
11-11: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
17-21: Remove unnecessary parentheses from pytest.fixture.Similar to the previous comment, remove the parentheses from the decorator.
- @pytest.fixture() + @pytest.fixture def mock_urlparse(self):🧰 Tools
🪛 Ruff (0.8.2)
17-17: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
22-26: Remove unnecessary parentheses from pytest.fixture.Another instance where parentheses can be removed.
- @pytest.fixture() + @pytest.fixture def mock_fromstring(self):🧰 Tools
🪛 Ruff (0.8.2)
22-22: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
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test_handler_cannot_dm_bot(81-93)test_handler_other_slack_error(95-107)
backend/tests/slack/commands/chapters_test.py (1)
backend/apps/slack/commands/chapters.py (1)
chapters_handler(15-54)
backend/tests/slack/actions/home_test.py (2)
backend/tests/slack/commands/committees_test.py (1)
mock_get_blocks(33-38)backend/tests/slack/commands/chapters_test.py (1)
mock_get_blocks(34-39)
backend/tests/github/models/label_test.py (1)
backend/apps/github/models/label.py (4)
Label(9-66)from_github(26-41)bulk_save(44-46)update_data(54-66)
backend/tests/slack/common/handlers/committees_test.py (3)
backend/tests/slack/common/handlers/chapters_test.py (4)
setup_mocks(39-44)test_feedback_message(79-85)test_pagination(87-108)test_leaders_singular_plural(122-133)backend/apps/slack/common/handlers/committees.py (1)
get_blocks(17-102)backend/apps/slack/common/presentation.py (1)
EntityPresentation(7-15)
backend/tests/slack/utils_test.py (1)
backend/apps/slack/utils.py (6)
get_gsoc_projects(26-39)get_news_data(43-66)get_sponsors_data(98-106)get_staff_data(70-84)strip_markdown(155-159)get_text(109-152)
backend/tests/slack/commands/leaders_test.py (4)
backend/tests/slack/commands/committees_test.py (3)
mock_command(23-24)mock_client(27-30)mock_get_absolute_url(11-14)backend/tests/slack/commands/chapters_test.py (4)
mock_command(24-25)mock_client(28-31)mock_get_chapters(42-45)mock_get_absolute_url(12-15)backend/tests/slack/commands/projects_test.py (4)
mock_command(26-30)mock_client(33-36)mock_get_projects(39-42)mock_get_absolute_url(11-14)backend/tests/slack/commands/board_test.py (2)
mock_command(11-12)mock_client(15-18)
backend/tests/common/index_test.py (1)
backend/apps/common/index.py (8)
register(76-86)IndexBase(89-211)get_client(93-102)configure_replicas(105-124)_parse_synonyms_file(127-162)get_total_count(188-205)reindex_synonyms(165-184)get_queryset(207-211)
backend/tests/github/management/commands/github_enrich_issues_test.py (1)
backend/apps/common/open_ai.py (1)
OpenAi(11-62)
backend/tests/github/graphql/nodes/user_test.py (1)
backend/apps/github/graphql/nodes/user.py (11)
IssueType(16-23)ReleaseType(26-33)RepositoryType(9-13)UserNode(36-89)resolve_created_at(63-65)resolve_updated_at(67-69)resolve_url(71-73)resolve_issues(75-77)resolve_issues_count(79-81)resolve_releases(83-85)resolve_releases_count(87-89)
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🔇 Additional comments (381)
frontend/docker/Dockerfile.local (5)
1-3: Multi-Stage Build IntroductionThe build stage is correctly set up using
FROM node:22-slim AS builder, and the use of a custom shell with-o pipefailis a best practice to catch errors in piped commands.
11-14: Builder Stage Dependency InstallationThe working directory is set to
/home/owaspand the essential files (package.jsonandpnpm-lock.yaml) are copied before runningpnpm install. This correctly prepares the environment and handles dependency installation.
16-18: Final Stage SetupThe final stage starts with
FROM node:22-slimand re-establishes the shell configuration, ensuring consistent command behavior across stages.
26-26: Efficient Dependency TransferCopying the
node_modulesdirectory from the builder stage usingCOPY --from=builder --chown=node:node /home/owasp/node_modules /home/owasp/node_modulesis a good implementation. This ensures that the runtime image has all the necessary dependencies with proper ownership.
28-33: Final Stage Runtime ConfigurationExposing port 3000, setting the user to
node, and defining the working directory are well-configured and align with Docker best practices for maintaining security and clarity.backend/tests/core/models/__init__.py (1)
1-1: Good addition of a descriptive docstring.The docstring clearly communicates the purpose of this package as a test module for core models, following Python conventions for module documentation.
docker/docker-compose-local.yaml (6)
5-8: Good practice usingsh -cfor compatibility.The switch from
bash -ctosh -cis a good practice that ensures compatibility with a wider range of container images, especially Alpine or slim variants that might not include bash by default.
25-26: Improved configuration using named volumes for backend.Using a named volume for the
.venvdirectory is a good practice that:
- Prevents development environment dependency issues
- Improves performance by avoiding file system operations across container boundaries
- Preserves virtual environment between container restarts
38-39: Restored and reorganized database healthcheck.The restored database healthcheck configuration ensures the application will wait for the database to be ready before starting, preventing connection errors during startup.
46-48: Consistent shell usage for frontend.The change from
bash -ctosh -cfor the frontend service maintains consistency with the backend configuration and ensures compatibility.
55-56: Improved frontend dependency management with named volumes.Using a named volume for
node_modulesis an excellent practice that:
- Significantly improves performance for Node.js applications
- Prevents dependency conflicts between host and container environments
- Ensures consistent builds regardless of host OS
60-63: Well-structured volume configuration.The addition of named volumes for both frontend and backend follows Docker best practices for managing persistent data and dependencies.
backend/tests/slack/views_test.py (4)
1-16: Well-structured test setup with proper mocking.The test file uses a clean approach to mock the Slack components before importing the views being tested. This ensures that the tests are isolated from external dependencies.
26-33: Good basic verification tests.These tests properly verify the existence of the handler and the CSRF exemption status, which are fundamental requirements for the Slack integration to work correctly.
34-44: Thorough testing of the request handler.The test properly verifies that the Slack request handler correctly processes POST requests and calls the underlying handler, maintaining clear separation of concerns.
45-57: Comprehensive testing of different HTTP methods.This test ensures the handler works correctly with different HTTP methods (GET, PUT), which is important for a robust API endpoint. Good use of mock reset between test cases.
backend/tests/common/management/commands/add_project_custom_tags_test.py (2)
8-9: Improved import structure.The change improves the import structure by importing the Project model directly from its canonical source (apps.owasp.models.project) rather than indirectly through the command module. This follows the principle of importing from the most direct source.
16-16: More resilient error message verification.Simplifying the expected output to "File not found:" rather than checking for the complete path makes the test more resilient to changes in file paths or formatting of error messages.
backend/tests/owasp/management/commands/owasp_update_sponsors_test.py (1)
1-118: LGTM: Well-structured comprehensive test suite.Overall, this test file provides excellent coverage for the OWASP update sponsors command, with tests for normal operation, error handling, and edge cases. The use of fixtures and mocks is appropriate, and the tests are clear and focused.
🧰 Tools
🪛 Ruff (0.8.2)
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backend/tests/slack/common/handlers/contribute_test.py (9)
8-9: LGTM: Constant definition.The constant
EXPECTED_BUTTON_COUNTis well-defined and used consistently in the test for pagination to verify the correct number of buttons are returned.
42-50: Test for results handling looks good.The test properly verifies that the blocks contain the expected text from the mock data.
51-58: Test for no results case is properly implemented.The test checks both the number of blocks returned and the content of the message when no issues are found.
59-67: Test for no results without query is comprehensive.This test properly handles the edge case of no search query, ensuring the message doesn't include backticks which would appear around the query if one was provided.
68-75: Feedback message test is properly implemented.This test correctly verifies that feedback about the search is included when the
include_feedbackflag is set.
76-98: Pagination test is comprehensive.The test properly covers different pagination scenarios with varying button configurations and verifies the expected behavior in each case.
99-107: Test for disabled pagination is complete.This test ensures that no pagination actions are included when pagination is disabled.
108-118: Test for empty pagination is well-implemented.The test correctly verifies behavior when pagination is enabled but no buttons are returned.
119-131: Pagination edge case test provides good coverage.The test properly handles the scenario where pagination buttons are expected but
Noneis returned instead, ensuring the UI doesn't break.backend/tests/slack/actions/home_test.py (7)
9-20: Good addition of navigation constants.The new constants for next/previous navigation actions are properly defined and will help with testing pagination functionality.
22-24: Constants for test values are well-defined.Good practice to define test constants at the top of the file for reuse and easy modification.
43-78: Well-structured parameterized test for action handlers.The parameterized test is a great improvement that allows testing many action handlers with a single test method. The test also properly verifies:
- Ack is called once
- The correct handler is called
- Views are published correctly
- Page parameter is passed correctly
79-91: Test for invalid value handling is a good addition.This test ensures that the system gracefully handles invalid page values by defaulting to page 1, which is important for robustness.
92-103: Unknown action handling test is comprehensive.This test verifies that the system can handle unknown action IDs without crashing, showing an appropriate error message instead.
104-113: API error handling test is properly enhanced.The test now correctly checks that exceptions during API calls are logged, which is important for debugging in production.
114-125: Action registration test ensures comprehensive coverage.This test verifies that all necessary actions are registered with the Slack app, which is important for making sure all functionality is accessible.
backend/tests/slack/utils_test.py (11)
82-93: Enhanced markdown parsing tests with additional cases.Good addition of complex test cases for the
strip_markdownfunction that include nested formatting and links with formatted text.
105-106: Updated docstring to reflect correct function name.The docstring now correctly indicates that this tests the
strip_markdownfunction rather than_process_mrkdwn.
254-273: Well-structured test for GSoC projects retrieval.This test properly validates that the function calls the API with correct parameters and returns the expected result.
275-351: Comprehensive testing of news data retrieval.This test thoroughly checks the
get_news_datafunction with various scenarios including with and without author information. The test also verifies proper cache clearing between test cases.
353-401: Good coverage of staff data retrieval including error handling.These tests properly verify successful retrieval of staff data as well as graceful handling of request exceptions and YAML parsing errors.
404-428: Complete testing of events data retrieval with error handling.The tests verify both successful retrieval and proper error handling, including checking that exceptions are logged.
430-458: Sponsors data retrieval tests include error handling.These tests properly verify both successful data retrieval and error scenarios for sponsor data.
460-479: Good testing of limit parameter for sponsors data.This test verifies that different limit values work correctly, including edge cases like zero.
481-493: Empty results handling test is a good addition.This test ensures that empty database results are handled properly without throwing exceptions.
495-509: Thorough edge case testing for markdown stripping.This test covers various edge cases for the
strip_markdownfunction, including empty strings and unusual formatting patterns.
511-629: Well-structured TestSlackUtils class with comprehensive tests.The class provides detailed tests for the
get_textfunction, covering all block types and edge cases. It's a good addition that completes the test coverage for the Slack utilities.backend/tests/owasp/models/sponsor_test.py (10)
25-30: String representation test is properly implemented.The test correctly verifies the string representation of a Sponsor instance.
31-45: Readable member type test covers all cases.The test verifies the mapping of all member types to their readable representations.
46-63: Comprehensive testing of sponsor type readability.The test covers all possible sponsor types, including edge cases.
64-75: Bulk save operation test is implemented correctly.The test properly verifies that the bulk save method is called with the right parameters.
76-91: Existing sponsor update test is comprehensive.The test verifies all steps of updating an existing sponsor, including slug generation, retrieval, data application, and saving.
92-107: New sponsor creation test is properly structured.The test verifies the process of creating a new sponsor when it doesn't exist in the database.
108-123: Update without save option test is a good addition.This test ensures the save parameter is respected, which is important for transactional operations.
124-143: Complete data dictionary parsing test is thorough.The test verifies that all sponsor fields are correctly populated from dictionary data.
143-158: Minimal data handling test ensures robustness.This test verifies that the system can handle minimal data input with default values for missing fields.
192-209: URL normalization test is comprehensive.The test verifies that URL normalization is applied to all URL fields.
backend/tests/core/__init__.py (1)
1-1: Good addition of a docstringAdding a clear docstring that explains the purpose of the test module improves code documentation and helps developers understand what this test module covers.
backend/apps/slack/commands/chapters.py (1)
33-34: Good practice moving to local importMoving the import from global to local scope is a good practice that:
- Reduces initial load time
- Prevents circular import issues
- Makes dependencies more explicit within the function
This change aligns with Python best practices for imports that are only used in specific code paths.
backend/apps/github/models/label.py (1)
48-51: Good extraction of reusable logicCreating the
get_node_idstatic method is a good refactoring that:
- Follows the DRY principle
- Improves code maintainability
- Handles the case where "node_id" might not exist in raw_data
- Makes the code more testable by isolating the node_id extraction logic
This change will make future modifications easier and reduces the risk of inconsistent node_id handling.
backend/apps/slack/commands/events.py (1)
22-25: Improved null handling for events dataThe change adds a defensive check to ensure we only filter events when
events_datais not empty. This prevents potential errors ifget_events_data()returns None or an empty collection.backend/apps/common/open_ai.py (2)
58-59: Standardized error logging and consistent return valuesThe error message has been generalized and now consistently returns None after logging the error for APIConnectionError. This standardizes behavior across exception handlers.
62-62: Explicit return value after logging exceptionAdding an explicit return statement after logging the exception improves code clarity by making the function's behavior more obvious.
backend/apps/github/models/managers/repository_contributor.py (1)
13-18: Improved robustness in by_humans methodThe refactored method now handles the edge case where
User.get_non_indexable_logins()might return an empty collection, preventing potential issues with empty exclusion filters. The step-by-step approach also improves code readability.The method is now also more efficient as it stores the result of
get_non_indexable_logins()in a variable instead of potentially calling it multiple times.backend/apps/slack/commands/committees.py (1)
19-21:✅ Verification successful
Consider keeping imports at the module level
Moving the import inside the function may solve circular import issues, but it's generally recommended to keep imports at the top of the file for better readability according to PEP 8.
If this change was made to resolve circular imports, consider restructuring the modules to avoid the circularity instead:
- from apps.slack.common.handlers.committees import get_blocks +# Return imports to the top of the file +from apps.slack.common.handlers.committees import get_blocks
🏁 Script executed:
#!/bin/bash # Check if there might be circular import issues grep -r "from apps.slack.commands.committees import" --include="*.py" backend/Length of output: 199
Import Handling: Revert to Module-Level Import
Our verification shows that the only reference to the committees module is in the test file (
backend/tests/slack/commands/committees_test.py), and there’s no evidence of a circular dependency forcing the import to be inside a function. Thus, reverting the workaround to move the import to the top of the file aligns with PEP 8’s guidelines and improves readability.Action:
- In
backend/apps/slack/commands/committees.py(Lines 19-21), replace the inline import with a module-level import:- from apps.slack.common.handlers.committees import get_blocks +from apps.slack.common.handlers.committees import get_blocks- Ensure that tests pass after this change to confirm that no circular dependency issues arise.
backend/apps/slack/utils.py (2)
119-145: Code refactoring improves readability and efficiency.The changes to the
get_textfunction improve code organization by using list comprehensions and conditional checks before appending results. This makes the code more readable, maintainable, and avoids adding empty strings to the final result.
157-159: Clear data flow in markdown stripping.The refactoring of
strip_markdownimproves readability by making the data flow more explicit, assigning the result to thetextvariable before replacing asterisks.backend/tests/github/graphql/nodes/release_test.py (2)
41-51: Good test for project name resolution.This test thoroughly covers the
resolve_project_namemethod's behavior, testing both when the name includes the OWASP organization prefix and when it doesn't. The mocks are properly set up and the assertions are clear.
53-61: Effective test for URL resolution.This test properly verifies that the
resolve_urlmethod returns the correct URL. The test is concise and clearly validates the expected behavior.backend/tests/slack/commands/sponsor_test.py (2)
22-48: Good parameterized test for handler responses.The test covers both enabled and disabled scenarios for the Slack commands. Consider expanding the test coverage with more test cases that verify different response scenarios, such as when the handler encounters errors.
49-62: Well-structured test for command registration.This test effectively verifies that the
sponsor_handlerfunction is correctly registered as a Slack command. The approach is consistent with other command registration tests in the codebase.backend/tests/slack/commands/staff_test.py (1)
88-101: Consistent implementation of command registration test.This test follows the established pattern for testing Slack command registration, checking all the necessary aspects: correct command string, single decorator call, and correct handler function. The implementation is consistent with other command registration tests in the codebase.
backend/tests/github/index/release_test.py (1)
8-38: Well-structured test class that follows established patternsThis test class for the ReleaseIndex follows the same pattern as other index tests in the codebase, providing good coverage of the essential methods.
The test covers both
update_synonymsandget_entitiesmethods, which are the core functionality of the index classes. The mocking approach is consistent with other similar test files.backend/tests/github/index/user_test.py (3)
8-12: Well-structured test class with clear purposeThe test class follows the project's testing patterns and includes appropriate documentation.
Setting
databases = []correctly indicates this is a unit test that doesn't require database access, which improves test execution performance.
19-24: Test ensures correct synonym indexing for usersThe test verifies that the
update_synonymsmethod correctly calls the base class method with the right parameters.The use of
patch.objectto mock theget_clientmethod is a good practice for isolating the test from external dependencies.
25-39: Thorough test for entity filtering with non-indexable loginsThe test effectively verifies that
get_entitiescorrectly excludes non-indexable users and bots.The test properly mocks
get_non_indexable_loginsand verifies that the correct filters are applied when retrieving user entities.backend/apps/slack/models/event.py (2)
32-35: Command extraction moved earlier in the processMoving the command extraction earlier simplifies the logic and ensures the command is consistently set.
This change ensures that
self.commandis always populated, even if the subsequent parsing logic fails.
38-45: More precise text splitting with maxsplit parameterUsing
maxsplit=1is an improvement as it correctly handles commands with arguments containing spaces.This ensures that only the first space is used for splitting, which properly preserves the argument structure in multi-word commands.
backend/tests/slack/events/app_home_opened_test.py (4)
4-4: Good addition of SlackApiError import for error testing.The import is correctly added to support testing error handling scenarios with Slack API.
67-76: Well-structured test for disabled events scenario.This test effectively verifies that when Slack events are disabled, the handler correctly acknowledges the event but doesn't proceed with publishing a view. Good use of patching to mock the settings.
78-97: Comprehensive error handling test.Excellent test that verifies the error handling behavior when a SlackApiError occurs. The test properly mocks the error response, ensures the acknowledgment function is called, and checks that the exception is logged.
99-107: Good event registration test.This test effectively verifies that the app_home_opened event is correctly registered with the Slack app. The pattern follows the consistent approach seen in other tests for Slack events.
backend/tests/github/api/user_test.py (3)
5-9: Great addition of HTTP status constants.Using named constants for HTTP status codes improves code readability and maintainability.
77-90: Well-structured test for successful user retrieval.This test effectively verifies that the
get_user_by_loginmethod correctly fetches and returns a user when found. Good use of mocking and assertions.
93-102: Excellent test for user not found scenario.This test properly verifies the error handling when a user doesn't exist, ensuring the appropriate status code and error message are returned.
backend/tests/github/index/issue_test.py (4)
10-14: Good test class setup with databases empty list.Setting
databases = []properly indicates this is a test that doesn't need database access, which can speed up test execution.
15-20: Well-structured setUp method.The setup follows the pattern established in related index test files, properly initializing mock objects for model, client, and settings.
21-26: Effective synonym update test.This test correctly verifies that the
update_synonymsmethod callsreindex_synonymswith the appropriate parameters.
27-45: Comprehensive test for get_entities method.This test thoroughly verifies the behavior of the
get_entitiesmethod, ensuring it properly callsselect_relatedandprefetch_relatedwith the correct arguments. The mock setup is clean and effective.backend/tests/slack/events/user_joined_channel/catch_all_test.py (3)
15-21: Clear test for basic handler functionality.This test effectively verifies that the catch_all_handler properly acknowledges events.
23-42: Well-structured event registration test.This test properly verifies that the event is registered correctly with the Slack app and that the matcher function correctly identifies channels. Good approach to reloading the module to trigger registration.
44-53: Good edge case testing.This test effectively verifies the handler's robustness when dealing with different parameter configurations, including a partial event and an empty event.
backend/tests/owasp/models/snapshot_test.py (5)
20-25: LGTM - String representation test is well implementedThe test for the string representation of the Snapshot model is properly implemented using mocking techniques.
26-34: LGTM - Save method with key test is well implementedThis test correctly verifies that when a Snapshot object already has a key, the save method preserves that key and calls the parent save method.
35-50: LGTM - Save method without key test is well implementedThe test effectively validates that when a Snapshot object doesn't have a key, one is generated based on the current date in the format "YYYY-MM".
51-66: LGTM - Well-structured parametrized test for status choicesExcellent use of pytest's parametrize feature to test all status choices in a clean, maintainable way.
67-78: LGTM - Thorough relationship field testingThis test effectively verifies that all expected relationship fields exist on the Snapshot model.
backend/tests/slack/commands/committees_test.py (2)
82-99: LGTM - Comprehensive test for different search queriesThis new test effectively validates the committees_handler's behavior with different command texts, ensuring that it correctly processes both empty and non-empty search queries.
100-112: LGTM - Thorough command registration testThe test effectively validates that the command is properly registered with the Slack app, ensuring the command decorator is correctly applied with the right command.
backend/tests/slack/commands/board_test.py (2)
20-43: LGTM - Well-structured parameterized test for board handlerThis test effectively validates the board_handler behavior based on whether Slack commands are enabled, and makes appropriate assertions about the messages sent.
44-56: LGTM - Thorough command registration testThe test effectively validates that the board command is properly registered with the Slack app.
backend/tests/github/index/repository_test.py (3)
8-18: LGTM - Well-structured test class setupThe test class is properly set up with mock objects for model, client, and settings, following the pattern established in other index test files.
19-24: LGTM - Effective test for update_synonyms methodThe test correctly verifies that the update_synonyms method calls reindex_synonyms with the appropriate parameters.
25-37: LGTM - Thorough test for get_entities methodThis test effectively verifies that the get_entities method filters for non-template repositories and prefetches the contributor relationship.
backend/tests/slack/events/user_joined_channel/gsoc_test.py (5)
1-7: Appropriate imports added for enhanced test coverage.The addition of SlackApiError from slack_sdk.errors is necessary for the new error handling tests, and the import of SlackConfig is needed for the new event registration test.
81-93: Good test case for handling "cannot_dm_bot" error scenario.This test properly verifies that when the handler encounters a "cannot_dm_bot" error, it:
- Acknowledges the event
- Attempts to open a conversation with the user
- Gracefully handles the error by not attempting to send a message
This ensures the application behaves correctly when unable to send direct messages to bot users.
95-108: Proper error propagation test for non-specific Slack API errors.This test correctly verifies that other types of Slack API errors are properly propagated (not silently caught) while still ensuring the event was acknowledged before the error occurred.
109-117: Good verification of ephemeral message sending.This test ensures that ephemeral messages are correctly sent to users in the channel, which is an important part of the handler's functionality.
118-137: Thorough event registration verification.This test properly verifies that:
- The handler is registered for the correct event type ("member_joined_channel")
- The matcher function correctly identifies the GSOC channel
- The matcher function correctly rejects non-GSOC channels
This ensures that the handler will only be triggered for relevant events.
backend/tests/slack/commands/contact_test.py (4)
24-30: Good test for disabled command handling.This test correctly verifies that when Slack commands are disabled, no interactions with the Slack client occur, which is important for ensuring the application respects the feature flag.
32-45: Comprehensive test for enabled command functionality.This test properly verifies that when commands are enabled:
- The client opens a conversation with the correct user
- The client sends a message with blocks
- The message contains expected content related to OWASP contact information
The assertions are appropriately focused on functional requirements rather than exact message content.
47-53: Good test for different user handling.This test ensures that the handler correctly uses the user ID from the command when opening a conversation, which is important for verifying correct parameter handling.
55-68: Thorough command registration test.This test properly verifies that:
- The command is registered with the correct command string
- The decorator is applied to the correct handler function
This ensures that the command will be properly routed in the Slack application.
backend/tests/slack/commands/projects_test.py (3)
101-136: Well-structured parameterized test for handler responses.This test appropriately verifies:
- The correct number of calls to get_blocks based on whether commands are enabled
- Proper conversation opening and message sending when commands are enabled
- No client interaction when commands are disabled
The parameterization makes the test more concise while still covering multiple scenarios.
138-150: Good edge case test for empty query handling.This test properly verifies that whitespace-only text is correctly treated as an empty string when passed to get_blocks, which is important for ensuring consistent search behavior.
152-165: Thorough command registration test.This test properly verifies that:
- The command is registered with the correct command string
- The decorator is applied to the correct handler function
This ensures that the command will be properly routed in the Slack application.
backend/tests/slack/commands/owasp_test.py (5)
138-144: Good test for disabled command handling.This test correctly verifies that when Slack commands are disabled, no interactions with the Slack client occur, which is important for ensuring the application respects the feature flag.
146-163: Comprehensive test for help command.This test properly verifies that the help command displays information about available commands, including specific verification of the presence of key command names in the response.
164-293: Thorough testing of individual subcommand routing.These tests systematically verify that:
- Each subcommand is correctly routed to its specific handler
- The original command parameters are correctly passed to the handler
- This approach ensures comprehensive coverage of the command routing logic
This is a significant improvement in test coverage.
334-344: Good error handling test for unknown commands.This test properly verifies that when an unknown command is provided:
- A conversation is opened with the user
- An error message is sent indicating the command is not supported
This ensures users receive helpful feedback for invalid commands.
346-359: Thorough command registration test.This test properly verifies that:
- The command is registered with the correct command string
- The decorator is applied to the correct handler function (owasp_handler)
This ensures that the command will be properly routed in the Slack application.
backend/tests/slack/commands/news_test.py (8)
1-7: LGTM! Well-structured imports and module references.The imports are clean and organized, covering all necessary dependencies for testing.
11-16: LGTM! Consistent fixture implementation.This mock_command fixture matches the pattern used in other Slack command tests, providing a standardized test setup.
18-22: LGTM! Consistent client fixture implementation.The mock_client fixture correctly simulates the Slack client's conversation opening behavior.
23-31: Well-structured autouse fixture for news data.This fixture effectively mocks the external news data dependency, allowing tests to run with predictable data.
32-39: LGTM! Thorough test for disabled command state.This test correctly verifies that when Slack commands are disabled, no client methods are called.
40-56: LGTM! Comprehensive test for successful news retrieval.The test thoroughly verifies both the conversation opening and message content when news data is available.
57-68: LGTM! Good error case testing.This test properly handles the edge case when no news data is available, ensuring appropriate error messaging.
69-83: LGTM! Thorough command registration test.This test effectively verifies that the news command is correctly registered with the Slack app using proper mocking techniques.
backend/tests/github/graphql/queries/release_test.py (5)
1-11: LGTM! Well-structured imports and test constants.The imports are clear and appropriate for testing GraphQL queries. Well-defined constants for different test scenarios.
13-32: LGTM! Well-designed fixture for mock releases.This fixture creates a comprehensive set of mock releases with realistic attributes and consistent date patterns.
🧰 Tools
🪛 Ruff (0.8.2)
13-13: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
34-45: LGTM! Thorough test for default limit scenario.This test effectively verifies the resolve_recent_releases method's behavior with the default limit.
47-62: LGTM! Good test for custom limit scenario.The test thoroughly verifies that the query correctly handles custom limits, including checking the slice operation.
64-98: LGTM! Comprehensive GraphQL integration test.This test effectively verifies the full GraphQL query execution path with appropriate assertions on the response structure.
backend/tests/github/graphql/queries/issue_test.py (6)
1-12: LGTM! Well-structured imports with good organization.The imports are correctly organized with standard library imports first, followed by third-party and local imports.
14-18: LGTM! Well-designed fixtures for GraphQL testing.The fixtures provide a complete test environment with mock issues, schema definition, and a GraphQL client.
Also applies to: 20-28, 30-38, 40-44
🧰 Tools
🪛 Ruff (0.8.2)
14-14: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
52-66: LGTM! Thorough test for the default limit scenario.This test effectively verifies how the resolver handles the default limit case with appropriate mocking.
67-80: LGTM! Good test for custom limit scenario.The test properly verifies that the custom limit is correctly applied when retrieving recent issues.
81-88: LGTM! Well-structured field definition test.This test verifies the GraphQL schema structure, ensuring the field type and default values are correctly defined.
89-106: LGTM! Robust GraphQL integration test with error handling.The test includes proper error handling to skip rather than fail when schema integration issues are encountered.
backend/tests/slack/commands/policies_test.py (4)
1-9: LGTM! Well-organized imports and constants.The imports are appropriate and the EXPECTED_BLOCK_COUNT constant clearly defines test expectations.
12-17: LGTM! Consistent fixture implementation with other Slack command tests.These fixtures follow the same pattern used in other Slack command tests, maintaining consistency across the test suite.
Also applies to: 18-23
🧰 Tools
🪛 Ruff (0.8.2)
12-12: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
24-55: LGTM! Well-structured parameterized test with comprehensive assertions.This test effectively covers both enabled and disabled states, with thorough verification of the message structure and content.
56-70: LGTM! Thorough command registration verification.This test properly verifies that the command is registered correctly with the Slack app.
backend/tests/slack/blocks_test.py (1)
1-69: Incomplete assertion in pagination testThe
test_pagination_buttons_invalid_pagemethod on line 65 is missing an assertion for the button's value. Add the following assertion to complete the test:def test_pagination_buttons_invalid_page(self): buttons = get_pagination_buttons("test", 10, 5) assert len(buttons) == 1 assert buttons[0]["text"]["text"] == "Previous" + assert buttons[0]["value"] == "9"This ensures that the button will navigate to the correct previous page when clicked.
backend/tests/slack/common/handlers/projects_test.py (2)
114-138: LGTM! Well-structured pagination tests.The pagination test implementation is comprehensive and uses the mock pattern effectively to isolate the tests from the actual implementation details of pagination buttons.
147-186: Good coverage of metadata combinationsThe test is well-structured and covers multiple scenarios for different metadata combinations. The approach of using test cases and checking presence/absence of metadata fields is appropriate.
backend/tests/github/graphql/queries/repository_contributor_test.py (1)
95-147: Good test coverage for GraphQL queryThe test for the GraphQL query is thorough and verifies the expected structure and data returned by the query.
backend/tests/slack/models/event_test.py (1)
296-305: LGTM! Good test for OWASP command processingThis test correctly verifies that the OWASP command is properly parsed, extracting the subcommand and arguments.
backend/tests/slack/commands/sponsors_test.py (5)
8-9: Appropriate imports added for constants.The imports for
OWASP_WEBSITE_URLandCOMMANDare correctly added to support the enhanced test assertions and command registration verification.
68-73: Improved parameter naming in test parametrization.The parameter names are now more descriptive (
has_sponsorsinstead ofhas_sponsors_data,expected_messageinstead ofexpected_header), which enhances test readability.
80-88: Improved variable handling in test function.The changes appropriately update the variable names to match the parametrization and correctly utilize the new mock_sponsors fixture.
95-108: Enhanced test assertions for message content.The test now verifies specific details about the message content, including sponsor names, member types, and URLs. This provides better coverage of the handler's functionality.
115-128: Added test for command registration.This is a good addition that verifies the command is properly registered with the Slack app, ensuring the correct command decorator is used and linked to the handler function.
backend/tests/slack/commands/donate_test.py (5)
1-7: Appropriate imports for the test file.The imports include all necessary modules and constants for testing the donate command handler.
24-30: Effective test for disabled command handling.This test correctly verifies that when Slack commands are disabled, the handler doesn't interact with the Slack client.
32-46: Comprehensive test for enabled command handling.This test thoroughly verifies the donate handler's behavior when commands are enabled, including validation of response content with specific donation-related phrases and URLs.
48-54: Good test for user-specific handling.This test effectively verifies that the handler correctly targets the specified user when a different user ID is provided.
56-69: Thorough command registration test.This test properly verifies that the donate command is registered with the Slack app using the correct command decorator and handler function.
backend/tests/slack/commands/jobs_test.py (5)
1-8: Appropriate imports for the test file.The imports correctly include all necessary modules and constants for testing the jobs command handler, including the OWASP_JOBS_CHANNEL_ID which is used in assertions.
24-30: Effective test for disabled command handling.This test correctly verifies that when Slack commands are disabled, the handler doesn't interact with the Slack client.
32-45: Comprehensive test for enabled command handling.This test thoroughly verifies the jobs handler's behavior when commands are enabled, including validation of response content with specific jobs-related information and disclaimer.
47-53: Good test for user-specific handling.This test effectively verifies that the handler correctly targets the specified user when a different user ID is provided.
55-68: Thorough command registration test.This test properly verifies that the jobs command is registered with the Slack app using the correct command decorator and handler function.
backend/tests/slack/commands/users_test.py (4)
1-7: Appropriate imports for the test file.The imports correctly include all necessary modules and constants for testing the users command handler.
23-58: Comprehensive parametrized test for handler responses.This test effectively verifies the users handler's behavior with different command settings through parameterization, validating that:
- The get_blocks function is called the expected number of times
- Client methods are called correctly when commands are enabled
- Message blocks and channel are correctly passed to the client
The structure follows good testing practices by parameterizing the test cases.
60-72: Good test for empty query handling.This test verifies that the handler correctly processes empty queries by trimming whitespace and passing an empty string to the get_blocks function.
74-87: Thorough command registration test.This test properly verifies that the users command is registered with the Slack app using the correct command decorator and handler function.
backend/tests/slack/commands/chapters_test.py (8)
6-7: Good addition of imported symbols!Nice job importing
COMMANDandCOMMAND_HELP, which provides better context for the tests and enables the command registration test.
10-21: Class structure improves organization of tests.Restructuring the tests into a class with fixture methods is a good practice that improves code organization and reusability.
23-40: Good mock implementation for get_blocks.The
mock_get_blocksfixture properly mocks theget_blocksfunction with appropriate return values, which is essential for testing the handler's behavior independently from the block generation logic.🧰 Tools
🪛 Ruff (0.8.2)
23-23: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
27-27: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
55-56: Enhanced test clarity with IDs.Adding
idsto parameterized tests significantly improves test output readability, making it easier to identify which test case failed.
87-88: Simplify assertion for response validation.The simplified assertion checks the essential behavior without overly constraining the test to specific implementation details. This makes the test more maintainable.
89-98: Good test coverage for help command.This test ensures that help documentation is properly displayed when users request it, which is an important user experience feature.
99-120: Comprehensive testing of search functionality.The parameterized test effectively covers different input scenarios, including empty search, search terms, and pagination parameters.
121-133: Excellent test for command registration.This test is crucial for ensuring that the command is properly registered with the Slack app at startup. The dynamic import and reload approach effectively tests the registration process.
backend/tests/slack/common/handlers/users_test.py (6)
9-50: Great test fixture structure for user data.The test fixtures provide a good variety of test data scenarios including full user data, empty data, and minimal data. This ensures the handler is tested with various inputs.
🧰 Tools
🪛 Ruff (0.8.2)
10-10: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
33-33: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
40-40: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
52-56: Clean setup for API mocking.The
setup_mocksfixture elegantly handles mocking the GitHub API search function using the pytestyieldpattern, which keeps the test code clean and maintainable.
57-85: Comprehensive testing of basic scenarios.These tests thoroughly verify the core functionality: handling results, no results, and empty search queries. The assertions check both structure and content of the returned blocks.
94-105: Good testing of minimal data handling.This test ensures that the function gracefully handles minimal user data, which is important for robustness.
114-144: Thorough pagination testing.The tests verify both the presence and absence of pagination elements depending on configuration, and check behavior with different page numbers.
145-224: Excellent parametrized testing of metadata combinations.This approach efficiently tests multiple combinations of user metadata fields without duplicating test code. The granular assertions verify exactly which fields should appear in the output.
backend/tests/slack/commands/community_test.py (5)
9-22: Solid test fixtures for Slack interactions.The fixtures correctly mock the Slack command and client objects, which is essential for testing the handler's interactions with the Slack API.
🧰 Tools
🪛 Ruff (0.8.2)
10-10: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
17-17: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
23-30: Great test for disabled commands.This test verifies that the handler respects the
SLACK_COMMANDS_ENABLEDsetting and doesn't make any API calls when disabled.
31-44: Thorough validation of handler response content.Beyond just checking that the handler makes the expected API calls, this test also validates that the response contains appropriate content about the OWASP community.
45-52: Good test for variable user handling.This test ensures that the handler works correctly with different user IDs, which is important for handling various incoming commands.
53-67: Excellent test for command registration.This test provides confidence that the command is properly registered with the Slack app on startup, using a clean approach with module reloading.
backend/tests/slack/common/handlers/chapters_test.py (9)
8-9: Good use of constants for expected values.Using constants for expected element and block counts improves maintainability by centralizing these values and making it clear what's being tested.
18-26: Enhanced test data with additional fields.The mock chapter data now includes additional fields like country, region, and updated_at, which allows for more comprehensive testing of the handler's output formatting.
53-54: Updated assertions for better test precision.The assertions have been updated to check for the location format and a generic "Leader" text, making the tests less brittle to content changes.
64-70: Improved test for default behavior.This test now explicitly checks the behavior when no search query is provided, which is an important use case to verify.
71-78: Good test for empty results without query.This test ensures the handler provides an appropriate message when there are no results and no search query.
87-109: Comprehensive pagination testing.This test thoroughly verifies pagination functionality, including different page numbers and button configurations.
110-121: Excellent test for location fallback.This test ensures that the handler gracefully falls back to country information when the suggested location is not available.
122-134: Good test for singular/plural forms.Testing both singular and plural forms for leader display ensures the UI text is grammatically correct in all scenarios.
194-219: Great test for combined features.Testing feedback and pagination together ensures that they work correctly when both are enabled, which is an important complex scenario.
backend/tests/common/utils_test.py (5)
64-69: LGTM! Well-implemented test for user agent utility.The test properly mocks Django settings and verifies the correct transformation of the application name to a user agent string.
70-80: LGTM! Comprehensive parameterized test for slugify function.Good test cases covering normal text, multiple dashes, and special characters, ensuring the slugify function handles various inputs correctly.
81-91: LGTM! Well-designed test for text truncation.Good coverage of different scenarios: longer text requiring truncation, text shorter than the limit, and custom truncation strings.
92-104: LGTM! Thorough test of IP address extraction logic.Effectively tests all common scenarios for IP address extraction: X-Forwarded-For with multiple IPs, single IP, REMOTE_ADDR fallback, and handling null values.
105-117: LGTM! Good test for natural_date return type consistency.Validates that the function returns a non-empty string regardless of input format (date string, datetime object, or timestamp).
backend/tests/github/models/managers/issue_manager_test.py (2)
21-44: LGTM! Comprehensive test for get_queryset method.The test effectively verifies the full chain of queryset operations, including:
- Selecting related repository data
- Prefetching assignees
- Applying the correct filter conditions for open issues in non-null projects
- Using an appropriate date comparison tolerance for the created_at filter
This provides thorough coverage of the manager's core functionality.
55-62: LGTM! Good test for without_summary property.The test correctly verifies both the method call and its arguments, ensuring that the property filters issues with an empty summary as expected.
backend/tests/github/models/managers/repository_contributor_test.py (4)
17-30: LGTM! Well-implemented test for by_humans method.The test thoroughly validates the behavior of the by_humans method, ensuring it:
- Filters out bot users
- Excludes users with non-indexable logins
- Returns the correctly filtered queryset
This aligns perfectly with the implementation in the repository_contributor.py file.
40-61: LGTM! Comprehensive test for get_queryset method.The test effectively verifies the complete flow of the get_queryset method, including:
- Creating the queryset with the correct model and database parameters
- Calling select_related with the appropriate related models ("repository" and "user")
- Returning the expected result
This provides thorough coverage of the manager's core functionality.
62-74: LGTM! Well-implemented test for by_humans method.The test completely validates the flow of the by_humans method in the manager class, ensuring it:
- Gets the queryset using get_queryset
- Calls by_humans on the queryset
- Returns the filtered result
This thoroughly tests the delegation pattern used in the manager.
75-87: LGTM! Thorough test for to_community_repositories method.The test comprehensively checks the to_community_repositories method, ensuring it:
- Gets the queryset using get_queryset
- Calls to_community_repositories on the queryset
- Returns the filtered result
This effectively validates the manager's delegation to the queryset method.
backend/tests/owasp/management/commands/owasp_update_events_test.py (5)
47-81: LGTM! Comprehensive test for the happy path scenario.This test thoroughly validates the command's behavior with valid data:
- Mocks the external repository API call
- Verifies that update_data is called for each event with correct parameters
- Ensures bulk_save is called with the properly structured data
- Includes assertions for the expected event count
The test provides excellent coverage of the command's main functionality.
82-92: LGTM! Good edge case handling for empty data.This test ensures the command handles empty YAML data gracefully, verifying that bulk_save is called with an empty list. This is important for robustness.
93-104: LGTM! Good edge case handling for categories without events.This test verifies the command correctly handles a valid YAML structure that contains categories but no actual events, ensuring that bulk_save is called with an empty list.
105-117: LGTM! Excellent error handling test.This test ensures the command properly handles YAML parsing errors by:
- Mocking an invalid YAML content scenario
- Verifying that the appropriate exception is raised
- Ensuring bulk_save is not called in error conditions
This helps ensure errors are properly propagated rather than silently ignored.
118-122: LGTM! Good documentation validation.Testing the command's help text ensures that the documentation remains consistent and accurate, which is a good practice for maintaining clear usage guidelines.
backend/apps/github/api/search/user.py (7)
3-6: Good addition of proper typing and annotations.Adding proper type hints and future annotations improves code quality and helps with static type checking. This will make the codebase more maintainable.
7-7: Nice use of aliasing to avoid naming conflicts.Renaming the imported
raw_searchtoalgolia_raw_searchis a good practice to avoid naming conflicts with the new function being defined.
12-26: Well-structured new function with thorough docstrings.The new
raw_searchfunction is well-documented with clear type hints and comprehensive docstrings that follow the Google docstring format. The abstraction helps separate concerns and makes the code more maintainable.
29-50: Good enhancement of function signature with type hints.The type hints and default values in the
get_usersfunction signature make the code more self-documenting and safer. The docstrings clearly document the purpose and parameters of the function.
51-63: Great refactoring of default attributes.Extracting the default attributes into a separate list improves readability and maintainability. If these attributes need to be updated in the future, they're now in a single, dedicated place.
65-72: Nice improvement to parameter handling.Using the
attributes or default_attributespattern is a clean way to handle optional parameters. The comment about Algolia using 0-based pagination is also helpful for future developers.
77-77: Good handling of empty query.The null coalescing with
query or ""ensures that the function works correctly even when no query is provided.backend/tests/slack/events/user_joined_channel/contribute_test.py (6)
5-5: Good addition of SlackApiError import.Adding the import for SlackApiError is necessary for the new error handling tests being introduced.
97-109: Good test case for bot DM handling.This test ensures that when the bot cannot DM another bot, the system gracefully handles the exception without crashing. The test correctly checks that acknowledgment happens but no message is sent.
111-123: Well-structured test for general Slack errors.This test verifies that other types of Slack errors are properly re-raised, which is important for error propagation and logging at higher levels. The assertions verify both the exception propagation and that acknowledgment still occurs.
125-138: Thorough test for ephemeral messages.This test comprehensively verifies that ephemeral messages are sent with the correct parameters including blocks, channel, user, and text. This ensures end-user visibility of notifications works as expected.
139-150: Good edge case test for zero counts.Testing the handler's behavior with zero counts is important to ensure that the UI displays correctly even when there are no active projects or open issues. The test verifies the specific format of the zero count messages.
152-171: Comprehensive event registration test.This test ensures that the event registration for member_joined_channel works correctly. The test verifies both positive and negative cases for the matcher function, ensuring it correctly identifies the target channel.
backend/tests/github/management/commands/github_update_owasp_organization_test.py (6)
4-4: Good addition of BadCredentialsException import.Adding this import is necessary for testing the error handling behavior when GitHub credentials are invalid.
49-62: Excellent test for credential error handling.This test case ensures that when GitHub credentials are invalid, the system logs an appropriate warning message instead of crashing. This improves the robustness of the application by properly handling authentication failures.
140-140: Good enhancement to mock fidelity.Setting the
public_reposattribute on the mock organization makes the test more realistic by simulating the actual behavior of the GitHub API response.
163-169: Improved repository handling in tests.The conditional creation of a mock project with its repository attributes allows for more realistic testing of the repository association logic when a project repository is being processed.
183-185: Good verification of repository association.This assertion checks that when a project repository is processed, it's correctly added to the project's repositories collection. This ensures the proper linking between projects and repositories.
204-204: Important resource cleanup verification.Testing that
close()is called on the GitHub client is important to ensure resources are properly released after the operation completes.backend/tests/core/models/prompt_test.py (8)
1-12: Well-structured test module setup.The imports and environment variable handling are well-organized. The docstring clearly explains the purpose of the test module.
14-20: Good basic test for string representation.The
test_strmethod ensures that the string representation of a Prompt instance works correctly, which is important for debugging and logging.
22-40: Thorough test for save method and key generation.This test verifies both the default key generation logic and the override behavior. The mocking of the parent save method allows focused testing of just the key generation functionality.
42-54: Good test for handling nonexistent keys with OpenAI.This test ensures that when a prompt key doesn't exist and OpenAI is enabled, the system logs a warning and returns None without crashing.
56-66: Nice complementary test for nonexistent keys without OpenAI.This test verifies the alternate path where OpenAI is disabled, ensuring that no warning is logged in this case. Having both tests provides complete coverage of this logic branch.
68-76: Good positive test case for key retrieval.This test verifies that when a key exists, the corresponding text is correctly returned, ensuring the basic functionality works as expected.
78-104: Excellent parameterized test for all getter methods.Using pytest's parameterize feature to test all getter methods is an efficient way to ensure complete coverage without code duplication. This approach validates both the method names and their expected keys.
105-129: Comprehensive coverage validation.This test explicitly verifies each getter method to ensure 100% coverage. While there's some duplication with the parameterized test, having both approaches provides robust verification of these critical methods.
backend/tests/slack/commands/contribute_test.py (9)
6-6: Good practice: Importing COMMAND for testing command registration.The inclusion of
COMMANDfrom the contribute module allows the test to verify that the correct command string is registered with the Slack app. This improves test reliability by avoiding hardcoded command strings.
38-45: Good implementation of disabled command test.This test properly verifies that when Slack commands are disabled, no Slack API calls are made - an important check for conditional functionality based on settings.
46-59: Well-structured test for default handler behavior.This test comprehensively verifies the default behavior of the contribute handler, including proper API calls and response verification. The test also checks the content of the response blocks, ensuring the expected text is included.
61-72: Great test for search term functionality.The test properly verifies that the handler correctly processes search terms and passes them to the get_blocks function, ensuring the search functionality works as expected.
73-89: Good coverage of flag-based command options.This test thoroughly checks the behavior when the "--start" flag is provided, ensuring the appropriate blocks are returned and displayed in the response.
90-102: Complete test for advanced flag handling.The test verifies that the "--advanced" flag is properly processed and that the appropriate API calls are made.
103-115: Good error handling test for invalid flags.This test ensures that the handler gracefully handles invalid flags, still making the expected API calls rather than failing.
116-128: Comprehensive test for help flag.The test verifies that the "-h" help flag is properly processed and that help information is included in the response.
129-142: Excellent command registration test.The test properly verifies that the command is registered with the Slack app using the correct command string and handler function. Using
importlib.reload()is a good practice to ensure the command registration is tested in isolation.backend/tests/github/api/search/user_test.py (8)
1-10: Good documentation with clear module purpose.The test module starts with a descriptive docstring and imports all the necessary functions from the module being tested, which improves readability and maintainability.
11-35: Well-structured test for default parameters.This test thoroughly verifies the behavior of the
get_usersfunction with default parameters, ensuring that it correctly callsraw_searchwith the expected arguments and properly processes the result.
36-47: Good edge case handling for None query.The test verifies that when
Noneis provided as the query, it's properly defaulted to an empty string, which is an important edge case to test.
48-62: Thorough verification of custom attributes functionality.This test properly verifies that custom attributes are correctly passed to the underlying function, ensuring that users can retrieve only the specific attributes they need.
63-80: Comprehensive test for pagination parameters.The test verifies that custom limit and page parameters are correctly processed, including the adjustment for Algolia's 0-based pagination (subtracting 1 from the page number).
81-96: Good test for searchable attributes functionality.The test verifies that searchable attributes are correctly passed to the underlying function, ensuring that users can restrict the search to specific fields.
97-124: Excellent test for combined parameter functionality.This test verifies that all custom parameters work together correctly, which is important for ensuring that the function behaves as expected when multiple customizations are applied simultaneously.
125-137: Good direct testing of raw_search function.Testing the
raw_searchfunction directly ensures that it correctly interacts with the underlyingalgolia_raw_searchfunction, which is an important part of the search functionality.backend/tests/github/management/commands/github_update_project_related_repositories_test.py (4)
4-4: Good addition of UnknownObjectException import.The import of UnknownObjectException is essential for the new tests that verify exception handling behavior.
103-148: Good test for invalid repository path handling.This test thoroughly verifies that when a repository path cannot be retrieved, the system logs an appropriate message, doesn't call
get_repo, and still performs the bulk save operation. This is important for ensuring robustness when dealing with invalid repository URLs.
150-200: Excellent test for 404 Not Found exception handling.This test verifies the behavior when a repository is not found (404 error), ensuring that invalid URLs are properly tracked and saved. This reflects the real-world scenario where repository URLs may become invalid over time.
202-251: Good test for other GitHub exception handling.This test verifies that other GitHub exceptions (like server errors) are properly propagated and that no save operations are performed in this case. This ensures that the system doesn't silently ignore unexpected errors.
backend/tests/slack/commands/gsoc_test.py (7)
8-13: Good import structure with constants.The import now includes
COMMAND,SUPPORTED_ANNOUNCEMENT_YEARS, andSUPPORTED_YEARS, which are essential for testing different behaviors based on years and for validating command registration.
107-114: Good test for disabled command functionality.This test verifies that when Slack commands are disabled, no Slack API calls are made, ensuring that the feature toggle works correctly.
115-130: Well-structured test for default handler behavior.This test thoroughly verifies the default behavior of the gsoc handler, checking both API calls and response content. The assertions verify specific text content, making the test more robust against unintended changes.
142-158: Excellent parameterized test for valid years.Using
pytest.mark.parametrizewith theSUPPORTED_YEARSconstants is a good practice to test boundary values and common cases in a single test function. The test verifies both the API calls and response content.
159-173: Good test for announcement year handling.This test specifically verifies the behavior for the latest announcement year, ensuring that the response contains the appropriate announcement-related text. Testing these special cases is important for comprehensive coverage.
174-186: Good test for unsupported year error handling.This test verifies that the handler properly identifies and responds to unsupported years, providing a helpful error message that indicates which years are supported.
198-211: Excellent command registration test.Similar to the contribute_test.py file, this test properly verifies that the command is registered with the Slack app using the correct command string and handler function. Using
importlib.reload()ensures the test is isolated.backend/tests/slack/events/team_join_test.py (5)
4-4: Good addition of the SlackApiError import.This import is now properly utilized in the new test cases for error handling scenarios, improving test coverage for exception cases.
48-57: Well-structured test for disabled events scenario.Good test implementation that verifies the function correctly handles the case when Slack events are disabled. The test confirms that no client methods are called when events are disabled, which is the expected behavior.
59-74: Appropriate handling of bot DM errors.This test effectively verifies that when attempting to DM a bot user (which Slack doesn't allow), the handler acknowledges the event but doesn't attempt to send messages. The test structure aligns well with similar tests in other Slack event handlers like
gsoc_test.pyandcontribute_test.py.
75-89: Good error propagation test.This test properly verifies that other Slack API errors are raised rather than caught silently. The assertion checks that the appropriate methods are called in the expected order, maintaining consistent behavior with other error handling tests.
91-102: Excellent test for event registration.The test ensures that the team_join event is properly registered with the Slack app. Using module reloading is a clever approach to verify the registration happens correctly during module initialization.
backend/tests/core/api/algolia_test.py (7)
6-7: Good import addition for AlgoliaException.Adding the import for AlgoliaException is necessary for the new test that validates exception handling behavior.
9-9: Appropriate inclusion of get_search_results in imports.Now importing both algolia_search and get_search_results functions directly reflects their usage in the tests, improving code clarity.
20-22: Clear constant definitions for improved maintainability.Adding the HTTP_STATUS_INTERNAL_ERROR and EXPECTED_NB_PAGES constants improves code readability and maintainability by avoiding magic numbers in the tests.
95-120: Great caching test implementation.This test effectively verifies that the algolia_search function caches results properly. It ensures that get_search_results is only called once for identical requests, which is important for performance optimization.
121-133: Comprehensive JSON decode error handling test.This test properly verifies that the function handles invalid JSON input gracefully, returning an appropriate error status code and message without exposing internal details to the client.
134-157: Well-structured Algolia exception handling test.This test effectively ensures that AlgoliaExceptions are caught and translated into user-friendly error responses without exposing internal implementation details.
159-194: Thorough direct testing of get_search_results function.This test provides comprehensive coverage of the get_search_results function, verifying the correct structure of search method parameters and the expected output format. The assertions check both the result content and the proper formation of the search request.
backend/tests/slack/events/url_verification_test.py (6)
12-12: Good enhancement to mock_slack_app fixture.Setting the event attribute with a lambda function return value improves the mock's functionality for testing event decorators.
18-21: Improved fixture cleanup with yield.Using yield instead of return allows proper cleanup after tests, which is a best practice for fixtures that modify global state.
25-35: Renamed and enhanced test for URL verification with app.The test now explicitly registers the handler with the event system, providing more complete test coverage of the actual registration process.
37-45: Good test for handling additional arguments.This test ensures the handler correctly processes events when additional positional and keyword arguments are provided, which improves test coverage for function signature flexibility.
54-58: Appropriate test for missing challenge key.The test correctly verifies that a KeyError is raised when the event is missing the required challenge key, ensuring proper error handling.
60-70: Excellent module-level registration test.This test effectively verifies that the URL verification handler is registered at the module level when imported, ensuring the event handler is properly set up during application initialization.
backend/tests/slack/commands/events_test.py (11)
7-7: Good addition of timezone import.Adding the django.utils timezone import is necessary for properly creating mock dates in the new test fixtures.
45-56: Improved fixture naming for clarity.Renaming mock_slack_command to mock_command and mock_slack_client to mock_client makes the code more concise while maintaining readability.
🧰 Tools
🪛 Ruff (0.8.2)
45-45: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
52-52: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
59-78: Well-designed event fixtures.The mock_event and mock_event_no_url fixtures are well-designed to test different event scenarios, with appropriate attributes set for testing various conditions.
🧰 Tools
🪛 Ruff (0.8.2)
69-69: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
80-87: Good test for disabled commands.This test properly verifies that when SLACK_COMMANDS_ENABLED is False, no client methods are called, which is the expected behavior.
89-103: Effective test for empty events data.This test correctly verifies the handler's behavior when no events are available, ensuring that an appropriate message is still sent to the user.
105-121: Thorough test for None events data.This test specifically handles the edge case where get_events_data returns None, using appropriate mocking to simulate this scenario and verify correct behavior.
124-139: Comprehensive test for valid events.This test thoroughly verifies that event details are correctly included in the message sent to users, checking for all relevant information like category, description, and dates.
141-157: Good test for events without URL or end date.This test ensures proper handling of events that are missing optional fields, verifying that the handler adapts the message format appropriately.
159-184: Excellent test for multiple event categories.This test verifies that events with different categories are properly grouped and displayed in the message, ensuring the categorization logic works correctly.
186-214: Important validation for invalid start date handling.This test confirms that events with invalid start dates are correctly filtered out of the results, which is crucial for preventing errors when processing event data.
217-229: Good command registration test.This test verifies that the events command is properly registered with the Slack app, ensuring the command handler is correctly set up during application initialization.
backend/tests/github/models/label_test.py (8)
8-8: Great conversion fromTestLabelModeltoTestLabel!The class name is now more concise and better aligns with modern pytest naming conventions.
22-25: Good test for label string representation with description!This test ensures that the string representation includes both name and description when a description is provided.
27-30: Good test for label string representation without description!This test ensures that the string representation only includes the name when no description is provided.
32-37: Good test for thefrom_githubmethod!This test verifies that the Label attributes are correctly populated from a GitHub label.
39-44: Improvedtest_bulk_saveimplementation!The test now uses MagicMock instead of Mock for label instances and verifies that bulk_save is called with the correct parameters.
46-57: Good test for updating an existing label!This test verifies that the update_data method correctly updates an existing label when it's found by node_id, including calling from_github and save.
59-74: Comprehensive test for creating a new label!This test thoroughly checks the creation of a new label when it doesn't exist, including verification of constructor arguments, method calls, and return value.
76-86: Good test for updating without saving!This test verifies that the update_data method correctly updates a label without saving when save=False is passed, which is an important edge case to cover.
backend/tests/slack/common/handlers/committees_test.py (9)
18-18: Good update to include idx_leaders consistently!Adding the idx_leaders field to the mock data ensures consistent and predictable behavior across all tests.
36-36: Updated active committee count!The change from 15 to 42 reflects the updated expected number of active committees in the system.
56-61: Improved test method naming and implementation!Renaming
test_get_blocks_without_metadatatotest_get_blocks_without_search_querybetter reflects the test's purpose. The simplified implementation directly tests the default behavior ofget_blocks().
69-69: Updated assertion for feedback message!Updating the assertion to check for "42 OWASP committees" aligns with the changed active committee count.
71-94: Great addition of pagination tests!This test thoroughly verifies the pagination functionality, including checking for the presence of action blocks and the correct number of buttons in different scenarios.
95-101: Good test for disabled pagination!This test ensures that when pagination is disabled, no action blocks are included in the response.
103-124: Excellent test for singular/plural leader handling!This test verifies that the handler correctly formats the leader text based on the number of leaders (singular for one leader, plural for multiple).
125-135: Good test for empty pagination!This test ensures that when there's only one page of results, no pagination buttons are included in the response.
136-147: Good test for pagination edge case!This test verifies that when the pagination function returns None, no action blocks are included in the response.
backend/tests/common/index_test.py (12)
20-21: Good addition of constants for expected values!Adding these constants makes the tests more maintainable and clarifies the expected outcomes.
129-156: Good test for conditional registration with DB variables!This test ensures that the index registration works correctly with explicitly set database environment variables.
174-189: Good test for client with IP address!This test verifies that the get_client method correctly sets the X-Forwarded-For header when an IP address is provided.
227-237: Good test for handling non-indexable indexes!This test ensures that no settings are applied when the index is not indexable, which is an important edge case.
243-274: Comprehensive test for parsing synonyms file!This test thoroughly verifies the structure and content of the parsed synonyms data, including different types of synonyms.
275-283: Good test for handling missing synonyms file!This test ensures appropriate logging occurs when the synonyms file does not exist.
302-302: Simplified assertion in error test!The simplified assertion focuses on checking that an exception is logged without being too specific about the log message.
304-329: Good test for total count with filters!This test verifies that the get_total_count method correctly handles search filters.
330-352: Comprehensive test for reindexing synonyms!This test thoroughly verifies the reindexing process, including clearing and saving synonyms.
353-366: Good test for handling missing file during reindexing!This test ensures appropriate behavior when the synonyms file is not found during reindexing.
367-385: Good test for handling Algolia exceptions!This test verifies appropriate error handling and logging when an exception occurs during reindexing.
387-421: Good addition of queryset tests!The new TestIndexBaseGetQueryset class thoroughly tests the get_queryset method in both local and non-local build scenarios.
backend/tests/slack/commands/leaders_test.py (9)
35-40: Good addition of URL mocking fixture!This fixture ensures consistent URL handling across all tests.
41-47: Great test for disabled commands!This test ensures that no actions are taken when commands are disabled.
49-66: Good test for handling no results!This test verifies that the appropriate message is sent when no results are found.
67-92: Good test for chapter results!This test verifies that chapter results are correctly formatted and displayed.
93-118: Good test for project results!This test verifies that project results are correctly formatted and displayed.
119-159: Comprehensive test for both result types!This test verifies that both chapter and project results are correctly displayed together.
160-199: Good test for entities without leaders!This test ensures proper handling of entities that have no leaders or null leader data.
200-210: Good test for empty query handling!This test verifies that the handler correctly processes an empty command text.
211-224: Improved command registration test!The test now properly verifies that the command decorator is called with the correct command name.
backend/tests/github/management/commands/github_enrich_issues_test.py (5)
27-43: Well-structured parameterized tests.This is a good use of pytest's parametrization feature to test multiple scenarios without duplicating code.
44-116: Great implementation of the command handle test.The test covers multiple scenarios thoroughly, with proper mocking of dependencies and verification of expected behaviors. The code is well-structured and clearly validates that batch handling of issues works correctly with different combinations of parameters.
117-174: Comprehensive test for batch processing.This test effectively verifies that batching logic works when handling a large number of issues, ensuring that the bulk save is called the correct number of times and that all issues are processed.
175-207: Good edge case handling for empty issues list.Testing the behavior when no issues are found is important. The test ensures that even with an empty list, the code behaves correctly and attempts to call bulk_save with an empty list.
208-252: Thorough test of force update logic.The parameterization effectively tests different combinations of force update flags and validates that the correct query selection is made based on these flags.
backend/tests/github/graphql/nodes/user_test.py (11)
7-19: Good approach using constants for test values.Defining constants at the file level makes the tests more maintainable and reduces duplication. This is a good practice for test data that is used in multiple test methods.
54-62: Well-implemented test for resolve_created_at.The test correctly validates that the resolver method returns the value from the appropriate field on the instance.
63-71: Well-implemented test for resolve_updated_at.Similar to the previous test, this correctly validates the resolver behavior.
72-80: Well-implemented test for resolve_url.The test correctly validates the URL resolver method behavior.
81-105: Thorough test for resolve_issues.This test effectively validates that the resolver correctly returns the list of issues stored in the instance. The mock data structure matches what would be expected in production.
106-114: Simple and effective test for resolve_issues_count.The test correctly validates the count resolver behavior.
115-139: Comprehensive test for resolve_releases.The test effectively validates that the resolver correctly handles the release data structure, including pre-release status.
140-148: Well-implemented test for resolve_releases_count.The test correctly validates the releases count resolver behavior.
149-154: Appropriate test for RepositoryType.The test validates that the RepositoryType class correctly initializes and stores its properties.
155-170: Comprehensive test for IssueType.The test thoroughly validates all properties of the IssueType class.
171-186: Well-implemented test for ReleaseType.The test validates that all properties of the ReleaseType class are correctly initialized and stored.
backend/tests/common/open_ai_test.py (17)
1-18: Good addition of test constants and improved imports.The change from traditional imports to more specific imports (MagicMock) and the addition of well-named test constants improve the readability and maintainability of the tests.
39-49: Good direct testing of OpenAI initialization.This test provides better coverage by directly testing the initialization of the OpenAI class.
50-58: Well-parameterized test for set_input.The parameterization tests both normal strings and edge cases like empty strings.
59-66: Good direct test for set_input method.This test provides complete coverage by directly testing the set_input method.
67-75: Comprehensive parameterized test for set_max_tokens.The test covers normal values, edge cases like 0, and None values.
76-84: Well-implemented direct test for set_max_tokens.This provides complete coverage of the set_max_tokens method.
85-93: Thorough parameterized test for set_prompt.The test covers various input scenarios including normal strings, empty strings, and None values.
94-101: Good direct test for set_prompt.This provides complete coverage of the set_prompt method.
102-113: Excellent test for method chaining.This test effectively validates that method chaining works correctly by verifying that all methods return the instance and all values are correctly set.
114-127: Good test for API connection error handling.This test verifies that the class correctly handles API connection errors from the OpenAI client.
140-162: Comprehensive test for successful API completion.This test thoroughly validates that the complete method correctly calls the OpenAI API with the expected parameters and handles the response properly.
163-197: Thorough test of complete method with actual inputs.This test provides an alternative approach to testing the complete method, ensuring comprehensive coverage.
198-219: Good direct test for API connection error.This test directly verifies the error handling for API connection errors.
220-239: Well-implemented direct test for general exception handling.The test ensures that all exceptions are caught and handled appropriately in the complete method.
240-257: Excellent parameterized test for constructor with different parameters.This test ensures that the constructor correctly initializes the class with various parameter combinations.
258-265: Good parameterized test for model customization.This test verifies that different model values are correctly stored.
266-273: Well-implemented parameterized test for temperature customization.This test ensures that different temperature values are correctly stored, including edge cases.
backend/tests/owasp/scraper_test.py (15)
43-56: Well-structured initialization success test.This test effectively validates the successful initialization of the OwaspScraper, ensuring that the correct methods are called and the page_tree is properly set.
57-64: Good error handling test for request exceptions.This test verifies that request exceptions are properly caught and logged during initialization.
65-72: Appropriate test for 404 not found responses.This test ensures that the scraper correctly handles 404 responses by setting page_tree to None.
74-84: Good parser error handling test.This test verifies that the scraper correctly handles parser errors by setting page_tree to None.
85-98: Well-implemented test for getting URLs with a domain filter.This test correctly validates that the get_urls method works when filtering by domain.
99-110: Good test for getting URLs without domain filtering.This test ensures that the get_urls method correctly returns all URLs when no domain is specified.
111-128: Comprehensive test for leader extraction.This test thoroughly validates the get_leaders method when leaders are present in the HTML.
129-139: Appropriate edge case test for no leaders.This test verifies that the get_leaders method returns an empty list when no leaders are found.
140-155: Good test for non-UL elements after leaders header.This test ensures that the get_leaders method correctly handles cases where the element after the leaders header is not a UL element.
156-170: Well-implemented test for invalid URL verification.This test verifies that the verify_url method correctly handles invalid URLs.
171-197: Excellent parameterized test for social media URL handling.This test ensures that social media URLs are handled correctly across different domains.
198-215: Good test for successful URL verification.This test verifies that verify_url correctly handles valid URLs with 200 responses.
216-242: Well-implemented test for URL redirection.This test ensures that the verify_url method correctly follows redirects and returns the final URL.
242-256: Appropriate test for request exceptions during URL verification.This test verifies that the verify_url method correctly handles request exceptions by logging them and returning None.
257-273: Good test for invalid status codes.This test ensures that the verify_url method correctly handles invalid HTTP status codes by logging a warning and returning None.
frontend/docker/Dockerfile.local
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| RUN apt-get update && apt-get install -y --no-install-recommends && \ | ||
| rm -rf /var/lib/apt/lists/* && \ | ||
| mkdir -p /home/owasp && \ | ||
| chown -R node:node /home/owasp && \ | ||
| npm install -g pnpm |
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Incomplete apt-get install Command in Builder Stage
In the builder stage, the RUN command contains apt-get install -y --no-install-recommends without specifying any packages. This will likely cause the build to fail because apt-get install expects at least one package name. Please either add the necessary packages or remove the installation step if it’s unneeded.
backend/tests/common/management/commands/generate_sitemap_test.py
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backend/apps/github/management/commands/github_update_project_related_repositories.py
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Actionable comments posted: 2
🧹 Nitpick comments (23)
backend/tests/slack/events/url_verification_test.py (1)
16-21: Great use of fixture cleanup pattern.Converting the fixture to use
yieldinstead ofreturnensures proper cleanup after tests by restoring the original app configuration. This prevents test state from leaking into other tests.However, there's a minor style issue in the decorator:
-@pytest.fixture() +@pytest.fixtureThe parentheses are unnecessary when no parameters are provided.
🧰 Tools
🪛 Ruff (0.8.2)
16-16: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
backend/tests/slack/common/handlers/users_test.py (4)
15-15: Fix fixture declarations by removing unnecessary parentheses.According to Ruff static analyzer and pytest best practices, empty parentheses should be removed from fixture decorators.
- @pytest.fixture() + @pytest.fixtureThis change should be applied to all three instances of
@pytest.fixture()in this file (lines 15, 38, and 45).Also applies to: 38-38, 45-45
🧰 Tools
🪛 Ruff (0.8.2)
15-15: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
(PT001)
119-140: Consider enhancing pagination tests with actionable assertions.While the current tests verify the existence of pagination buttons and their count, they don't verify the actual button content or behavior.
Consider adding assertions to verify:
- The action_id of buttons (to ensure they trigger the right actions)
- The values or URLs they point to
- The page numbers they reference
blocks = get_blocks(page=2, presentation=presentation) assert len(blocks[-1]["elements"]) == expected_button_count assert mock_pagination.call_count == expected_button_count + # Verify button properties + action_elements = blocks[-1]["elements"] + assert action_elements[0]["text"]["text"] == "Previous" + assert action_elements[1]["text"]["text"] == "Next" + # Verify action_ids if they exist + if "action_id" in action_elements[0]: + assert "previous" in action_elements[0]["action_id"].lower() + if "action_id" in action_elements[1]: + assert "next" in action_elements[1]["action_id"].lower()
247-255: Block initialization test could be more specific.The current test verifies that blocks are initialized as a list of dictionaries, but it could check more specific properties of the blocks structure.
Consider enhancing this test to verify more specific block properties:
assert isinstance(blocks, list) assert len(blocks) > 0 assert all(isinstance(block, dict) for block in blocks) + # Check that each block has required fields + for block in blocks: + assert "type" in block + if block["type"] == "section": + assert "text" in block + assert "type" in block["text"] + assert block["text"]["type"] in ["mrkdwn", "plain_text"]
1-255: Consider adding test for search query with special URL characters.The current tests verify HTML escaping but don't specifically test URL-encoding of query parameters in links.
Add a test case to verify that query parameters are properly URL-encoded when they appear in links:
def test_search_query_url_encoding(self, setup_mocks, mock_user_data): setup_mocks["get_users"].return_value = mock_user_data query_with_url_chars = "test?param=value&other=value+space" presentation = EntityPresentation(include_feedback=True) blocks = get_blocks(search_query=query_with_url_chars, presentation=presentation) blocks_str = str(blocks) # Verify the link contains properly encoded parameters assert "community/users?q=test%3Fparam%3Dvalue%26other%3Dvalue%2Bspace" in blocks_str or \ "community/users?q=test?param=value&other=value+space" in blocks_str🧰 Tools
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backend/tests/slack/common/handlers/projects_test.py (1)
14-14: Remove unnecessary parentheses from pytest.fixtureThe parentheses in
@pytest.fixture()are not needed when no arguments are passed.- @pytest.fixture() + @pytest.fixture🧰 Tools
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14-14: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
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backend/tests/owasp/models/sponsor_test.py (7)
16-16: Remove unnecessary parentheses in pytest.fixture decorator.The
pytest.fixturedecorator doesn't require empty parentheses. Simplify it for better readability.- @pytest.fixture() + @pytest.fixture🧰 Tools
🪛 Ruff (0.8.2)
16-16: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
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30-34: Simplify test_str_method to directly test the actual string representation.The current implementation is overly complex, as it mocks the very method it's trying to test. This doesn't effectively verify the actual string representation behavior.
- def test_str_method(self): - sponsor = MagicMock(spec=Sponsor) - sponsor.name = test_sponsor_name - with patch.object(Sponsor, "__str__", return_value=sponsor.name): - assert Sponsor.__str__(sponsor) == test_sponsor_name + def test_str_method(self): + sponsor = Sponsor() + sponsor.name = test_sponsor_name + assert str(sponsor) == test_sponsor_name
36-49: Consider simplifying the readable_member_type test.The current implementation uses complex mocking that makes the test harder to understand. A more direct approach would be to create a Sponsor instance with each member type and verify the property returns the expected string.
- def test_readable_member_type(self): - for member_type, expected in [ - (Sponsor.MemberType.GOLD, "Gold"), - (Sponsor.MemberType.PLATINUM, "Platinum"), - (Sponsor.MemberType.SILVER, "Silver"), - ]: - sponsor = Sponsor() - sponsor.member_type = member_type - - mock_member_type = MagicMock() - mock_member_type.label = expected - - with patch.object(Sponsor.MemberType, "__call__", return_value=mock_member_type): - assert Sponsor.readable_member_type.fget(sponsor) == expected + def test_readable_member_type(self): + for member_type, expected in [ + (Sponsor.MemberType.GOLD, "Gold"), + (Sponsor.MemberType.PLATINUM, "Platinum"), + (Sponsor.MemberType.SILVER, "Silver"), + ]: + sponsor = Sponsor() + sponsor.member_type = member_type + assert sponsor.readable_member_type == expected
51-67: Consider simplifying the readable_sponsor_type test.Similar to the readable_member_type test, this implementation uses complex mocking. A more direct approach would be to create a Sponsor instance with each sponsor type and verify the property returns the expected string.
- def test_readable_sponsor_type(self): - for sponsor_type, expected in [ - (Sponsor.SponsorType.DIAMOND, "Diamond"), - (Sponsor.SponsorType.PLATINUM, "Platinum"), - (Sponsor.SponsorType.GOLD, "Gold"), - (Sponsor.SponsorType.SILVER, "Silver"), - (Sponsor.SponsorType.SUPPORTER, "Supporter"), - (Sponsor.SponsorType.NOT_SPONSOR, "Not Sponsor"), - ]: - sponsor = Sponsor() - sponsor.sponsor_type = sponsor_type - - mock_sponsor_type = MagicMock() - mock_sponsor_type.label = expected - - with patch.object(Sponsor.SponsorType, "__call__", return_value=mock_sponsor_type): - assert Sponsor.readable_sponsor_type.fget(sponsor) == expected + def test_readable_sponsor_type(self): + for sponsor_type, expected in [ + (Sponsor.SponsorType.DIAMOND, "Diamond"), + (Sponsor.SponsorType.PLATINUM, "Platinum"), + (Sponsor.SponsorType.GOLD, "Gold"), + (Sponsor.SponsorType.SILVER, "Silver"), + (Sponsor.SponsorType.SUPPORTER, "Supporter"), + (Sponsor.SponsorType.NOT_SPONSOR, "Not Sponsor"), + ]: + sponsor = Sponsor() + sponsor.sponsor_type = sponsor_type + assert sponsor.readable_sponsor_type == expected
204-205: Use exact assertion for normalized URL call count.Using
>=for call count assertions can hide issues if more calls are made than expected. It's better to assert the exact number of calls for predictable test behavior.- call_count = 2 - assert mock_normalize.call_count >= call_count + assert mock_normalize.call_count == 2
1-208: Add docstrings to test methods to improve maintainability.While the test method names are descriptive, adding brief docstrings to each test method would make it easier to understand the purpose and expected behavior of each test.
Example:
def test_from_dict_complete_data(self, sponsor_data): """Verify that from_dict correctly populates a sponsor with complete data.""" # test implementation🧰 Tools
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1-208: Consider adding error handling test cases.The current tests cover the happy path scenarios but don't explicitly test error handling. Consider adding tests for scenarios like invalid member types, invalid sponsor types, or other potential error conditions.
Example test:
def test_from_dict_invalid_data(self): """Verify that from_dict handles invalid data gracefully.""" invalid_data = {"name": "Invalid Sponsor", "membertype": "invalid"} sponsor = MagicMock() Sponsor.from_dict(sponsor, invalid_data) # Verify default values are used for invalid data assert sponsor.member_type == Sponsor.MemberType.SILVER # Or whatever the default is🧰 Tools
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backend/tests/slack/models/event_test.py (2)
15-17: Remove empty parentheses from the pytest fixture decorator.The pytest fixture decorator doesn't need empty parentheses. This is a minor style issue that can be fixed:
-@pytest.fixture() +@pytest.fixture def event_model(): return Event()🧰 Tools
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257-333: Consider reducing test duplication.The TestEvent class duplicates many of the same test cases already covered by the standalone pytest functions and the EventModelTest class. This duplication increases maintenance overhead when implementation changes occur. Consider:
- Consolidating duplicate tests or
- Creating more focused tests that verify unique scenarios in each class
For example, test_str_representation (lines 258-262) duplicates functionality already tested by test_event_str (lines 20-25).
backend/tests/slack/utils_test.py (1)
58-63: Optional: Consider using uppercase naming for these test constants.
Although not mandatory, using uppercase for constants (e.g.,NEWS_TITLE,NEWS_URL) can make them more recognizable.- news_title = "News Title" - news_url = "/news-url" - href_query = ".//a[@href]" - author_name = "Author Name" - database_error = "Database error" + NEWS_TITLE = "News Title" + NEWS_URL = "/news-url" + HREF_QUERY = ".//a[@href]" + AUTHOR_NAME = "Author Name" + DATABASE_ERROR = "Database error"backend/tests/common/management/commands/generate_sitemap_test.py (4)
13-18: Constants usage.
Double-check for any duplicate definitions seen in prior comments. If there's another copy of these constants, consolidating them in one place will help maintenance. Otherwise, this is fine.
30-30: Style: Remove parentheses in the fixture decorator.
Static analysis suggests changing@pytest.fixture()to@pytest.fixture.- @pytest.fixture() + @pytest.fixture🧰 Tools
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@pytest.fixtureover@pytest.fixture()Remove parentheses
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39-39: Style: Remove parentheses in the fixture decorator.
Same improvement for@pytest.fixture().- @pytest.fixture() + @pytest.fixture🧰 Tools
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39-39: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
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81-81: Style: Remove parentheses in the fixture decorator.
Again, follow the recommended usage for@pytest.fixture.- @pytest.fixture() + @pytest.fixture🧰 Tools
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81-81: Use
@pytest.fixtureover@pytest.fixture()Remove parentheses
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backend/tests/github/management/commands/github_update_project_related_repositories_test.py (2)
12-12: Consider a more descriptive constant nameWhile using a constant is better than a magic number,
magic_value_twocould be more descriptive of its purpose (e.g.,NUM_TEST_REPOS).-magic_value_two = 2 +NUM_TEST_REPOS = 2
317-323: Replace magic constant referencesUse the constant directly in these assertions to maintain consistency and make future updates easier.
- assert mock_gh_client.get_repo.call_count == magic_value_two - assert mock_sync_repository.call_count == magic_value_two + assert mock_gh_client.get_repo.call_count == NUM_TEST_REPOS + assert mock_sync_repository.call_count == NUM_TEST_REPOS assert mock_organization1.save.called assert mock_organization2.save.called - assert mock_project.repositories.add.call_count == magic_value_two + assert mock_project.repositories.add.call_count == NUM_TEST_REPOSbackend/tests/github/management/commands/github_enrich_issues_test.py (1)
17-28: Good use of pytest fixturesUsing fixtures for common test objects promotes code reuse and keeps tests DRY. However, there's a minor improvement opportunity.
According to static analysis, you can simplify the fixtures by removing the empty parentheses:
- @pytest.fixture() + @pytest.fixture def command(self): """Return a command instance for testing.""" return Command() - @pytest.fixture() + @pytest.fixture def mock_issue(self): """Return a mock issue instance.""" issue = mock.Mock(spec=Issue) issue.title = "Test Issue" return issue🧰 Tools
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📜 Review details
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📒 Files selected for processing (11)
backend/apps/github/management/commands/github_update_project_related_repositories.py(1 hunks)backend/tests/common/management/commands/generate_sitemap_test.py(1 hunks)backend/tests/core/models/prompt_test.py(1 hunks)backend/tests/github/management/commands/github_enrich_issues_test.py(1 hunks)backend/tests/github/management/commands/github_update_project_related_repositories_test.py(5 hunks)backend/tests/owasp/models/sponsor_test.py(1 hunks)backend/tests/slack/common/handlers/projects_test.py(4 hunks)backend/tests/slack/common/handlers/users_test.py(1 hunks)backend/tests/slack/events/url_verification_test.py(2 hunks)backend/tests/slack/models/event_test.py(1 hunks)backend/tests/slack/utils_test.py(4 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- backend/tests/core/models/prompt_test.py
🧰 Additional context used
🧬 Code Definitions (5)
backend/tests/github/management/commands/github_update_project_related_repositories_test.py (1)
backend/apps/github/management/commands/github_update_project_related_repositories.py (2)
Command(18-66)handle(24-34)
backend/tests/github/management/commands/github_enrich_issues_test.py (1)
backend/apps/common/open_ai.py (1)
OpenAi(11-62)
backend/tests/owasp/models/sponsor_test.py (2)
backend/tests/github/models/label_test.py (3)
label(10-11)test_bulk_save(39-44)test_update_data_without_save(77-86)backend/apps/github/models/label.py (2)
bulk_save(44-46)update_data(54-66)
backend/tests/slack/common/handlers/users_test.py (1)
backend/tests/slack/commands/users_test.py (1)
TestUsersHandler(9-87)
backend/tests/slack/models/event_test.py (1)
backend/apps/slack/models/event.py (3)
Event(9-64)from_slack(27-54)create(57-64)
🪛 Ruff (0.8.2)
backend/tests/slack/common/handlers/projects_test.py
14-14: Use @pytest.fixture over @pytest.fixture()
Remove parentheses
(PT001)
backend/tests/common/management/commands/generate_sitemap_test.py
30-30: Use @pytest.fixture over @pytest.fixture()
Remove parentheses
(PT001)
39-39: Use @pytest.fixture over @pytest.fixture()
Remove parentheses
(PT001)
81-81: Use @pytest.fixture over @pytest.fixture()
Remove parentheses
(PT001)
backend/tests/github/management/commands/github_enrich_issues_test.py
17-17: Use @pytest.fixture over @pytest.fixture()
Remove parentheses
(PT001)
22-22: Use @pytest.fixture over @pytest.fixture()
Remove parentheses
(PT001)
backend/tests/slack/events/url_verification_test.py
16-16: Use @pytest.fixture over @pytest.fixture()
Remove parentheses
(PT001)
backend/tests/owasp/models/sponsor_test.py
16-16: Use @pytest.fixture over @pytest.fixture()
Remove parentheses
(PT001)
backend/tests/slack/common/handlers/users_test.py
15-15: Use @pytest.fixture over @pytest.fixture()
Remove parentheses
(PT001)
38-38: Use @pytest.fixture over @pytest.fixture()
Remove parentheses
(PT001)
45-45: Use @pytest.fixture over @pytest.fixture()
Remove parentheses
(PT001)
backend/tests/slack/models/event_test.py
15-15: Use @pytest.fixture over @pytest.fixture()
Remove parentheses
(PT001)
🔇 Additional comments (67)
backend/tests/slack/events/url_verification_test.py (6)
9-13: Good improvement to the mock setup.The mock Slack app now includes a more realistic behavior for the
eventattribute, returning a lambda function. This better simulates how event handlers would be registered in the actual application.🧰 Tools
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25-35: Well-structured test with proper assertions.The renamed test method clearly indicates its purpose and includes appropriate checks:
- Registers the handler with the app
- Tests the handler's response
- Verifies the event registration was called correctly
This is more thorough than the previous implementation.
37-44: Good addition testing handler robustness.This test ensures the handler works correctly when additional arguments are passed, which is important for verifying the function's robustness against different calling patterns.
46-52: Important edge case testing.Testing the handler behavior when the app is None covers an important edge case that ensures the handler is resilient even when the expected configuration is missing.
54-58: Good negative test case.Testing that a KeyError is raised when the challenge is missing from the event payload ensures proper error handling and validation of input data.
60-71: Clever approach for testing module-level registration.This test effectively verifies that the module correctly registers the event handler at import time by:
- Mocking the SlackConfig
- Removing the module from sys.modules (if present)
- Importing to trigger registration
- Verifying the registration was called with the correct event type
This is an advanced testing technique that ensures the module behaves correctly on import.
backend/tests/slack/common/handlers/users_test.py (11)
1-12: Imports and constants look good.The imports and constants are well-organized and appropriately named. The explicit path definition for mocking pagination buttons is a good practice.
14-61: Well-structured test fixtures.The test fixtures are comprehensive and provide good coverage of different user data scenarios. The autouse mock setup is a clean approach for isolating tests from actual API calls.
🧰 Tools
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62-74: Basic test case validates key elements.This test successfully verifies that user information is correctly displayed in the generated blocks.
75-98: Edge cases for empty results are properly handled.The tests for no results with and without a search query are important edge cases that ensure the UI provides appropriate feedback to users.
99-110: Great test for minimal user data.This test ensures that the code handles users with incomplete profile information correctly, which is a common scenario.
111-118: Feedback message verification is appropriate.Testing that feedback messages are included when required by the presentation settings is important for UI consistency.
141-149: Good negative test for pagination.Testing that pagination elements are not present when pagination is disabled is an important validation.
150-215: Excellent parameterized metadata testing.This comprehensive approach to testing various combinations of user metadata is a great practice and ensures the UI handles all possible data combinations correctly.
216-222: Empty bio test is valuable.Testing the handling of empty user bios ensures the UI gracefully handles this common scenario.
223-235: HTML escaping test has been properly fixed.This test has been updated to verify that HTML escaping is correctly applied to dangerous characters, addressing the previous review comment.
236-246: Good handling of pagination edge case.Testing the behavior when the pagination function returns None is important for ensuring the application doesn't crash when unexpected values are returned.
backend/tests/slack/common/handlers/projects_test.py (7)
8-10: Good use of constants for test dataExtracting common string values into constants improves maintainability and reduces duplication throughout the test file. This is a good practice that makes the tests more resilient to changes.
19-20: Good enhancement of test data with new fieldAdding
idx_levelto the mock data enriches the test fixture to better represent real-world project data. Using the constants for name and URL improves maintainability.Also applies to: 25-27
118-140: Well-structured pagination testsThese pagination tests thoroughly validate both the presence and behavior of pagination buttons in different scenarios. Good job using the mock for
get_pagination_buttonsand verifying both the UI elements and the function calls.
149-188: Comprehensive metadata combination testingThis test effectively verifies how different combinations of metadata values affect the UI rendering. The approach of parametrizing tests with different metadata combinations provides thorough coverage of edge cases.
189-210: Good edge case handling for empty leadersTesting the behavior when the leaders array is empty ensures the UI gracefully handles this case and doesn't display empty metadata. This improves user experience by avoiding unnecessary or confusing UI elements.
231-246: Verify the pagination edge case test logicThere appears to be inconsistent logic in this test. After asserting that there are no "actions" blocks, the code then sets block elements and verifies their count.
Please verify if this logic is correct, as it appears that line 243 (
blocks[-1]["elements"] = [{"type": "button"}] # Mocking elements) is mocking elements after already asserting there are no action blocks. Does this reflect the actual behavior you're trying to test?
247-253: Good test for disabled metadataTesting that leader information is not displayed when metadata is disabled ensures the UI respects configuration settings. This helps validate the flexibility of the UI components.
backend/tests/owasp/models/sponsor_test.py (2)
171-171: The issue raised in previous reviews has been addressed.The test now correctly verifies that the member_type is set by the from_dict method rather than setting it directly.
189-189: The issue raised in previous reviews has been addressed.The test now correctly verifies that the sponsor_type is set by the from_dict method rather than setting it directly.
backend/tests/slack/models/event_test.py (6)
128-133: Good use of mocking to isolate database operations.The use of patches to mock Django database operations ensures that tests run in isolation without relying on actual database connections. This approach is a best practice for unit testing Django models.
185-191: Good test for error handling with empty context.The test correctly verifies that calling from_slack with an empty context raises a KeyError since the user_id is required.
192-204: Thorough testing of edge case with empty payload.The test properly verifies all expected default values when the payload is empty, ensuring robust handling of edge cases.
222-241: Excellent testing of trigger priority logic.This test thoroughly verifies that triggers follow the expected priority order (command > action_id > type) by testing all possible combinations. This ensures the system behavior is consistent when multiple trigger sources are present.
248-254: Good edge case testing for whitespace-only text.The test correctly verifies behavior when OWASP command text contains only whitespace, ensuring the application handles it properly without crashing.
1-13: Well-structured imports and constants.The imports are organized logically, separating standard library imports from Django and application-specific imports. Test constants are clearly defined at the top of the file for easy reference.
backend/tests/slack/utils_test.py (17)
1-2: Docstring introduction looks good.
No issues found with the initial docstring here.
7-8: Imports for YAML and RequestException.
These imports are used correctly to support YAML parsing and exception handling.
88-107: Additional test cases for markdown stripping.
These new cases broaden coverage for bold, italic, and strikethrough markup. The logic and expected outputs look correct.
110-111: Docstring alignment with actual function.
Renaming the docstring to referencestrip_markdownis accurate and consistent.
260-279: New test_gsoc_projects.
This test properly verifies the mock return fromget_projects. The calls and assertions are well thought out.
281-353: test_get_news_data_with_patches function covers multiple scenarios.
Good job testing with anchors, authors, and partial data. The logic ensures the function behaves correctly under each condition.
355-374: test_get_staff_data_success looks solid.
Mocks YAML data and verifies parsing. Great coverage for normal scenarios.
377-388: test_get_staff_data_request_exception handles network errors.
Exception handling and logging are effectively tested.
390-404: test_get_staff_data_yaml_exception checks YAML parsing failures.
Clean approach to verifying error handling and logging.
406-419: test_get_events_data_success covers normal database scenario.
Query mock is validated, and the function’s return is thoroughly checked.
420-429: test_get_events_data_exception ensures database errors are logged.
This test properly confirms the function handles exceptions.
432-444: test_get_sponsors_data_success covers normal sponsor query.
Useful to confirm slicing logic and database mocks.
450-459: test_get_sponsors_data_exception checks query failures.
Exception path is well-tested to verify error handling and logs.
462-481: test_get_sponsors_data_with_different_limits verifies limit handling.
Excellent coverage for different slice ranges.
484-495: test_get_events_data_empty_result scenario.
Assures empty database query returns an empty list gracefully.
497-511: test_strip_markdown_edge_cases.
Terrific way to confirm corner cases, ensuring robust markdown-stripping logic.
516-623: TestSlackUtils class methods.
All the multipleget_texttest scenarios are well-structured and thorough. No issues identified.backend/tests/common/management/commands/generate_sitemap_test.py (3)
1-2: Top-level imports look fine.
No issues identified with logging and datetime usage.
87-157: TestSitemapCommand main flow tests.
Clean, thorough approach verifying top-level command behavior.
158-652: Remainder of the test suite.
The tests thoroughly cover project, chapter, committee, and user sitemaps, alongside index generation. Implementation and assertions look robust and well-structured.backend/apps/github/management/commands/github_update_project_related_repositories.py (4)
32-33: Refactored code callingprocess_project.
The approach to process projects individually improves readability.
36-45:process_projectmethod.
This new helper method clearly logs progress and iterates over repository URLs. The usage of a localprojectslist is straightforward.
46-61:process_repository_urlenhances clarity and safety.
The check for an invalidrepository_pathand theif organization:guard around saving are appropriate. Good job preventing possibleNoneusage.
62-67:handle_unknown_object_exceptionfor 404 errors.
The specialized handling for “Not Found” gracefully updates the project’s invalid URLs. This is a clean solution.backend/tests/github/management/commands/github_update_project_related_repositories_test.py (5)
4-15: Good addition of imports and constants for testabilityAdding explicit constants like
test_repo_urlandtest_repo_pathmakes tests more maintainable and readable. The import ofUnknownObjectExceptionsupports the new exception handling tests.
106-149: Good test coverage for invalid repository path handlingThis test effectively verifies that the code correctly handles cases where repository paths cannot be retrieved, which is an important error handling scenario.
151-201: Good test for GitHub 404 Not Found exception handlingThis test ensures that the code correctly moves URLs from
related_urlstoinvalid_urlswhen a repository is not found, which is critical functionality for maintaining accurate repository references.
203-254: Good test for propagating non-404 GitHub exceptionsThis test verifies the code correctly propagates other server errors (like 500) rather than silently handling them, allowing higher-level error handling to take place.
256-325: Comprehensive test for handling multiple repository URLsThis test ensures that the code correctly processes multiple repository URLs, which is a common real-world scenario. The assertions for call counts and method invocations provide strong verification of the expected behavior.
backend/tests/github/management/commands/github_enrich_issues_test.py (6)
1-16: Great refactoring to class-based test organizationThe move to a class-based test structure with proper docstrings improves organization and readability. This makes the test file more maintainable and easier to extend.
29-114: Excellent parametrized testing approachThe parametrized test with multiple combinations of flags and settings ensures thorough test coverage. The assertions correctly verify different aspects of the command's behavior based on input parameters.
115-168: Good test for batch processing behaviorTesting with a large batch size (1001) ensures that the code correctly handles pagination or chunking of large datasets, which is important for production scenarios with many issues.
169-201: Important edge case handling for empty issuesThis test verifies that the command behaves correctly when no issues are found, which is an important edge case to cover.
202-246: Well-structured force update logic testThe parametrized test for force update flags effectively verifies that the correct query strategy is used based on different combinations of flags. This is crucial for ensuring the command only processes the intended issues.
247-274: Thorough validation for the no-issues scenarioThis test complements the earlier empty issues test by verifying additional aspects of the command's behavior when no issues are found, including checking that OpenAI is still initialized correctly.
| def test_create_method_exceptions(self): | ||
| @patch("apps.slack.models.event.Event.save") | ||
| def test_save_called_with_params(self, mock_save): | ||
| Event.create(self.context, self.payload) | ||
| mock_save.assert_called_once() | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Test method is correctly defined but has unusual nesting structure.
The test_save_called_with_params implementation has been corrected according to previous review comments. However, it's nested inside another test method which is an unusual pattern that may cause issues:
-def test_create_method_exceptions(self):
- @patch("apps.slack.models.event.Event.save")
- def test_save_called_with_params(self, mock_save):
- Event.create(self.context, self.payload)
- mock_save.assert_called_once()
+@patch("apps.slack.models.event.Event.save")
+def test_save_called_with_params(self):
+ context = {"channel_id": "C12345", "user_id": "U12345"}
+ payload = {
+ "channel_name": "general",
+ "command": f"/{OWASP_COMMAND}",
+ "text": test_command_text,
+ "user_name": "testuser",
+ }
+ Event.create(context, payload)
+ self.mock_save.assert_called_once()Committable suggestion skipped: line range outside the PR's diff.
| def test_from_slack_with_owasp_command_success(self): | ||
| event = Event() | ||
| context = {"user_id": "U123"} | ||
| payload = {"command": f"/{OWASP_COMMAND}", "text": "events conference"} | ||
| event.from_slack(context, payload) | ||
|
|
||
| assert event.command == OWASP_COMMAND.lstrip("/") | ||
| assert event.text == "events conference" | ||
| assert event.trigger == "events" | ||
|
|
There was a problem hiding this comment.
💡 Verification agent
🧩 Analysis chain
Verify trigger value in OWASP command test.
In this test, the trigger is asserted to be "events" instead of the OWASP command name that's used in other similar tests. This seems to differ from other test expectations where the trigger is usually the command name. Please verify if this is correct according to the implementation logic.
def test_from_slack_with_owasp_command_success(self):
# ...
assert event.trigger == "events" # ← Is this correct?🏁 Script executed:
#!/bin/bash
# Check how triggers are handled in the Event model implementation
cat backend/apps/slack/models/event.py | grep -n "trigger" -A 4 -B 4Length of output: 1239
Trigger value mismatch in OWASP command test
The test currently asserts that the event trigger should be "events", but our verification of the implementation in backend/apps/slack/models/event.py shows that in from_slack, the trigger is set as follows:
self.trigger = self.command or payload.get("action_id", "") or payload.get("type", "")Since self.command (derived from the payload’s "command" field after stripping the leading slash) is already set in this case, the trigger will match that value (i.e. OWASP_COMMAND.lstrip("/")). This is inconsistent with the test’s expectation of "events".
Please review whether the intended behavior is:
- For the OWASP command, the trigger should mirror the parsed command (as with other tests), meaning the test should assert:
assert event.trigger == OWASP_COMMAND.lstrip("/")
- Or if the OWASP command should uniquely derive the trigger from the first token of the text (i.e.
"events"), then additional parsing logic is needed infrom_slack.
Action Required:
- Verify the intended behavior for trigger extraction in the OWASP command case.
- Update either the test assertion or the implementation accordingly to ensure consistent behavior across all similar commands.
File References:
- Test:
backend/tests/slack/models/event_test.py(Lines 286–295) - Implementation:
backend/apps/slack/models/event.py(Line 52)
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| blocks = mock_client.chat_postMessage.call_args[1]["blocks"] | ||
| text = "".join(str(block) for block in blocks) | ||
|
|
||
| assert OWASP_WEBSITE_URL in text or "owasp.org" in text |
Check failure
Code scanning / CodeQL
Incomplete URL substring sanitization High test
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Actionable comments posted: 3
🔭 Outside diff range comments (2)
backend/tests/apps/github/index/user_test.py (1)
1-40:⚠️ Potential issueWell-structured test class for UserIndex
This is a clean implementation of tests for the UserIndex class. The test methods provide good coverage of the core functionality.
One issue to address:
mock_objects.exclude.assert_called_once_with( - is_bot=False, + is_bot=True, login__in=mock_get_non_indexable_logins.return_value, )The
excludecall should likely filter out bots (is_bot=True) rather than non-bots. The current implementation would exclude non-bot users whose logins are in the non-indexable list, which seems counterintuitive if you're trying to exclude bots from indexing.backend/tests/apps/core/api/algolia_test.py (1)
241-246:⚠️ Potential issueOrphaned code section.
These lines appear to be disconnected from any test method and seem to be leftover fragments or incorrectly placed code. They don't belong to any function and will cause syntax errors.
Remove the orphaned code section:
- response = Mock() - response.status_code = requests.codes.bad_request - response_data = {"error": ERROR_MESSAGE_INTERNAL} - assert response.status_code == requests.codes.bad_request - assert response_data["error"] == ERROR_MESSAGE_INTERNAL
🧹 Nitpick comments (10)
backend/tests/apps/owasp/models/snapshot_test.py (1)
68-79: Enhance the relationships test for more meaningful verificationThe current test for relationships only verifies that the attributes exist on the mocked object, but doesn't test the actual relationship definitions on the model. Consider enhancing this test:
def test_relationships(self): - snapshot = MagicMock(spec=Snapshot) - - for field in ["new_chapters", "new_issues", "new_projects", "new_releases", "new_users"]: - mock_rel = MagicMock() - setattr(snapshot, field, mock_rel) - - assert hasattr(snapshot, "new_chapters") - assert hasattr(snapshot, "new_issues") - assert hasattr(snapshot, "new_projects") - assert hasattr(snapshot, "new_releases") - assert hasattr(snapshot, "new_users") + # Get the model fields directly + snapshot_fields = Snapshot._meta.get_fields() + field_names = [field.name for field in snapshot_fields] + + # Verify all expected relationship fields exist on the model + expected_relationships = [ + "new_chapters", "new_issues", "new_projects", + "new_releases", "new_users" + ] + + for relationship in expected_relationships: + assert relationship in field_names, f"Relationship {relationship} not found in Snapshot model"backend/tests/apps/github/models/managers/issue_manager_test.py (1)
46-54: Add verification of filter conditions for assignable propertyWhile the test correctly verifies that the filter method is called and that it returns the expected result, it doesn't check what filtering conditions are applied for the
assignableproperty.Consider adding an assertion to verify the specific filter conditions:
def test_assignable_property(self, open_issue_manager, mock_queryset): mock_filtered = MagicMock() mock_queryset.filter.return_value = mock_filtered result = open_issue_manager.assignable - mock_queryset.filter.assert_called_once() + mock_queryset.filter.assert_called_once_with(assignees__isnull=True) assert result == mock_filteredbackend/tests/apps/github/graphql/queries/issue_test.py (1)
89-106: Strengthen the error handling in integration testThe current test skips on any
KeyErrororTypeError, which is very broad and might hide actual issues in the integration. Consider making the error handling more specific or adding logging to better understand why the test might be skipped.try: result = client.execute(query) assert "data" in result assert "recentIssues" in result["data"] - except (KeyError, TypeError) as e: - pytest.skip(f"Skipping schema integration test due to: {e!s}") + except (KeyError, TypeError) as e: + if "recentIssues" in str(e) or "data" in str(e): + # Skip only if the error is related to the expected response structure + pytest.skip(f"Skipping schema integration test due to missing expected response structure: {e!s}") + else: + # Re-raise for unexpected errors + raisebackend/tests/apps/common/management/commands/generate_sitemap_test.py (1)
494-658: Consider consolidating duplicate test logicThere's some duplication between the
TestSitemapCommandandTestGenerateSitemapclasses. Both test similar functionality with slightly different approaches.Consider consolidating the duplicate test logic or more clearly documenting why both test classes are necessary if they're testing different aspects of the functionality.
backend/tests/apps/owasp/models/sponsor_test.py (1)
196-213: Make assertion more specific in URL normalization testThe assertion
assert mock_normalize.call_count >= call_countis unnecessarily loose. Since you know exactly how many URLs are being normalized, consider using an exact equality check instead:- call_count = 2 - assert mock_normalize.call_count >= call_count + assert mock_normalize.call_count == 2This will make the test more precise and catch any unexpected additional calls to the normalize function.
backend/tests/apps/github/management/commands/github_update_project_related_repositories_test.py (1)
121-121: Redundant constant declaration.The
builtins_printvariable is redefined here despite already being defined as a module-level constant at line 13.Remove the redundant constant declaration:
mock_gh_client = mock.Mock() mock_github.return_value = mock_gh_client - builtins_print = "builtins.print" mock_get_repository_path.return_value = Nonebackend/tests/apps/common/index_test.py (1)
305-305: Simplified assertion.Simplifying the assertion to just check that the exception was logged, without verifying the specific message, makes the test more maintainable but potentially less precise.
For more thorough testing, consider checking the specific exception message:
- mock_logger.exception.assert_called_once() + mock_logger.exception.assert_called_once_with("Error executing Algolia search")backend/tests/apps/github/management/commands/github_enrich_issues_test.py (1)
247-275: Potential test duplication.This test (
test_handle_no_issues_found) appears to be testing similar behavior totest_handle_with_empty_issues_list(lines 169-201), though with slightly different assertions.Consider merging these two tests or more clearly differentiating their purposes in the docstrings to avoid confusion. If they are testing different aspects, ensure each test's name and docstring clearly reflects its unique purpose.
backend/tests/apps/github/graphql/nodes/user_test.py (1)
52-183: Consider using pytest fixtures for common setupThe tests currently create a new UserNode instance in each test method. Consider creating a pytest fixture for UserNode to reduce code duplication and improve test maintainability.
@pytest.fixture def user_node(): node = UserNode() node.idx_created_at = created_at_timestamp node.idx_updated_at = updated_at_timestamp node.url = github_url node.idx_issues_count = issues_count node.idx_releases_count = releases_count return nodeThen in your tests:
def test_resolve_created_at(self, user_node): """Test resolve_created_at method.""" result = user_node.resolve_created_at(None) assert result == created_at_timestampbackend/tests/apps/common/open_ai_test.py (1)
24-275: Consider consolidating fixture useThere are several tests that create OpenAi instances directly instead of using the openai_instance fixture. Consider extending the fixture system to handle more test scenarios to reduce code duplication.
You could create parameterized fixtures for different OpenAi configurations:
@pytest.fixture def openai_instance_with_params(monkeypatch, request): model = getattr(request, "param", {}).get("model", DEFAULT_MODEL) max_tokens = getattr(request, "param", {}).get("max_tokens", DEFAULT_MAX_TOKENS) temperature = getattr(request, "param", {}).get("temperature", DEFAULT_TEMPERATURE) mock_settings = type("obj", (object,), {"OPEN_AI_SECRET_KEY": DEFAULT_API_KEY}) monkeypatch.setattr(SETTINGS_PATH, mock_settings) instance = OpenAi(model=model, max_tokens=max_tokens, temperature=temperature) return instanceThen use it in tests:
@pytest.mark.parametrize( "openai_instance_with_params", [ {"model": "gpt-4", "max_tokens": 500, "temperature": 0.5}, {"model": "gpt-3.5-turbo", "max_tokens": 200, "temperature": 0.0}, ], indirect=True, ) def test_with_different_params(openai_instance_with_params): # Test with the configured instance ...
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📒 Files selected for processing (39)
backend/apps/common/open_ai.py(1 hunks)backend/apps/github/api/search/user.py(2 hunks)backend/apps/github/management/commands/github_update_project_related_repositories.py(1 hunks)backend/apps/github/models/label.py(1 hunks)backend/apps/slack/commands/chapters.py(1 hunks)backend/apps/slack/commands/committees.py(1 hunks)backend/apps/slack/commands/events.py(1 hunks)backend/apps/slack/models/event.py(1 hunks)backend/apps/slack/utils.py(2 hunks)backend/tests/apps/common/index_test.py(8 hunks)backend/tests/apps/common/management/commands/add_project_custom_tags_test.py(1 hunks)backend/tests/apps/common/management/commands/generate_sitemap_test.py(1 hunks)backend/tests/apps/common/open_ai_test.py(2 hunks)backend/tests/apps/common/utils_test.py(2 hunks)backend/tests/apps/core/api/algolia_test.py(5 hunks)backend/tests/apps/github/api/search/user_test.py(1 hunks)backend/tests/apps/github/api/user_test.py(3 hunks)backend/tests/apps/github/common_test.py(1 hunks)backend/tests/apps/github/graphql/nodes/release_test.py(2 hunks)backend/tests/apps/github/graphql/nodes/repository_test.py(2 hunks)backend/tests/apps/github/graphql/nodes/user_test.py(2 hunks)backend/tests/apps/github/graphql/queries/issue_test.py(1 hunks)backend/tests/apps/github/graphql/queries/release_test.py(1 hunks)backend/tests/apps/github/graphql/queries/repository_contributor_test.py(1 hunks)backend/tests/apps/github/index/issue_test.py(1 hunks)backend/tests/apps/github/index/release_test.py(1 hunks)backend/tests/apps/github/index/repository_test.py(1 hunks)backend/tests/apps/github/index/user_test.py(1 hunks)backend/tests/apps/github/management/commands/github_enrich_issues_test.py(1 hunks)backend/tests/apps/github/management/commands/github_update_owasp_organization_test.py(6 hunks)backend/tests/apps/github/management/commands/github_update_project_related_repositories_test.py(5 hunks)backend/tests/apps/github/models/label_test.py(1 hunks)backend/tests/apps/github/models/managers/issue_manager_test.py(1 hunks)backend/tests/apps/github/models/managers/repository_contributor_test.py(1 hunks)backend/tests/apps/owasp/management/commands/owasp_update_events_test.py(1 hunks)backend/tests/apps/owasp/management/commands/owasp_update_sponsors_test.py(1 hunks)backend/tests/apps/owasp/models/snapshot_test.py(1 hunks)backend/tests/apps/owasp/models/sponsor_test.py(1 hunks)backend/tests/apps/owasp/scraper_test.py(2 hunks)
🚧 Files skipped from review as they are similar to previous changes (8)
- backend/apps/github/models/label.py
- backend/apps/slack/commands/committees.py
- backend/apps/slack/commands/events.py
- backend/apps/slack/commands/chapters.py
- backend/apps/slack/utils.py
- backend/apps/slack/models/event.py
- backend/apps/common/open_ai.py
- backend/apps/github/management/commands/github_update_project_related_repositories.py
🧰 Additional context used
🧬 Code Definitions (2)
backend/tests/apps/github/graphql/nodes/release_test.py (1)
backend/apps/github/graphql/nodes/release.py (3)
ReleaseNode(11-39)resolve_project_name(29-31)resolve_url(37-39)
backend/tests/apps/github/management/commands/github_update_project_related_repositories_test.py (3)
backend/tests/apps/owasp/management/commands/owasp_aggregate_projects_test.py (2)
command(10-11)mock_project(14-20)backend/tests/apps/owasp/management/commands/owasp_enrich_projects_test.py (2)
command(14-15)mock_project(18-22)backend/tests/apps/owasp/management/commands/owasp_scrape_projects_test.py (2)
command(17-18)mock_project(21-28)
⏰ Context from checks skipped due to timeout of 90000ms (3)
- GitHub Check: Run frontend unit tests
- GitHub Check: Run frontend e2e tests
- GitHub Check: Run backend tests
🔇 Additional comments (178)
backend/apps/github/api/search/user.py (4)
3-7: Good import organization with explicit imports.The code now explicitly imports
default_attributesfrom constants and correctly importsraw_searchfrom utils instead of directly from algolia. This improves code maintainability and clarity.
26-26: Good use of constants for default attributes.Using
default_attributesfrom constants file instead of hardcoding the attributes list improves maintainability and ensures consistency across the codebase.
29-29: Added helpful comment for 0-based pagination.The comment explaining why page - 1 is used provides good context for future developers.
36-36: Improved handling of None query parameter.Using an empty string instead of None when no query is provided prevents potential issues with the search functionality. This is a good defensive programming practice.
backend/tests/apps/github/common_test.py (13)
1-16: Great test file structure with comprehensive imports.The imports are well organized and the module docstring clearly explains the purpose of the test file. The necessary models and mocking utilities are properly imported.
18-29: Well-designed mock project class.The
MockProjectclass effectively simulates a project model without database dependencies, which is good practice for unit testing. It includes necessary attributes and a mock save method.
30-105: Excellent test setup with comprehensive mocking.The
setUpmethod is thorough in creating mock objects and patching dependencies. This enables isolated testing without relying on external services or database. The use of multiple patches for different model update methods shows attention to detail.
114-127: Proper cleanup in tearDown method.All patches started in setUp are properly stopped in tearDown, which prevents test pollution and ensures clean state between test runs.
128-146: Comprehensive basic test case.The basic test case covers the essential functionality of the sync_repository function, checking that all expected methods are called and the correct objects are returned.
147-171: Good test for alternative function parameters.Testing the function with provided organization and user parameters ensures that the function behaves correctly when optional parameters are supplied.
172-189: Thorough edge case testing for OWASP site.This test ensures that special handling for OWASP site repositories works correctly, particularly checking that language retrieval is skipped.
190-219: Comprehensive test for issue synchronization.The test properly verifies that issue objects are updated correctly, including handling of assignees and labels, which are important relationships.
220-239: Good test for handling latest updated issue.The test validates that when a latest updated issue exists, the appropriate parameters are passed to the GitHub API to retrieve only new or updated issues.
240-291: Complete coverage of issue synchronization skip conditions.These tests validate that issue synchronization is properly skipped under various conditions (archived repo, track_issues=False, no project, project with track_issues=False), which is important for performance and correctness.
292-313: Thorough testing of release synchronization.The test for release synchronization verifies that releases and their authors are properly updated, ensuring that relationships between models are maintained.
314-337: Good test for existing releases handling.This test ensures that already synchronized releases are not processed again, which is important for performance in real-world scenarios.
338-367: Proper exception handling test.Testing the handling of
UnknownObjectExceptionfor labels ensures that the synchronization process is resilient to API errors, continuing the process while properly logging the issue.backend/tests/apps/owasp/scraper_test.py (18)
1-8: Improved import statement organization.Using
MagicMockalongsideMockis a good choice as it provides more features for testing. The imports are now better organized.
10-15: Good use of constants for test data.Defining test URLs and other constants at the module level improves readability and maintainability, allowing for easy updates if needed.
20-24: Enhanced mock_session fixture.Using
MagicMockinstead ofMockand yielding the mock object is a better approach for test fixtures, providing more flexibility.
25-33: Added useful new fixtures for URL parsing and HTML parsing.These fixtures isolate the tests from external dependencies and make it easier to test the behavior of the scraper when parsing fails.
58-71: Thorough initialization success test.This test verifies that the scraper correctly initializes when a valid response is received, checking both the API call and the resulting page tree.
72-79: Good error handling test for request exception.Testing that the scraper properly handles network exceptions is essential for robust code.
80-87: Comprehensive test for 404 response handling.This test ensures that the scraper properly handles not found responses from the server.
89-98: Robust test for parser error handling.The test ensures that the scraper properly handles HTML parsing errors by setting page_tree to None.
100-113: Well-structured test for URL retrieval with domain filter.This test verifies that the get_urls method correctly filters URLs by domain when requested.
114-124: Complete test for URL retrieval without domain filter.Testing the get_urls method without a domain filter ensures the method works correctly in all scenarios.
126-143: Comprehensive test for leader extraction.This test verifies that the get_leaders method correctly extracts leader information from the HTML.
144-169: Good edge case testing for leader extraction.These tests ensure that the get_leaders method handles cases where no leaders are found or the HTML structure is unexpected.
171-184: Thorough test for invalid URL handling.This test verifies that the verify_url method correctly handles and rejects invalid URLs.
185-211: Great use of parameterized tests for social media URLs.Using pytest.mark.parametrize for testing different social media domains is an efficient way to test multiple scenarios without code duplication.
212-228: Complete test for successful URL verification.This test ensures that the verify_url method correctly handles valid URLs and returns the expected result.
229-251: Excellent test for redirection handling.This test verifies that the verify_url method correctly follows redirects and returns the final URL.
252-266: Robust test for request exception handling in URL verification.Testing error handling for network exceptions ensures the scraper is resilient to failures.
267-282: Complete test for invalid status code handling.This test verifies that the verify_url method correctly handles HTTP error status codes with proper logging.
backend/tests/apps/github/graphql/nodes/release_test.py (4)
3-4: Added necessary import for mocking.The
Mockclass is correctly imported fromunittest.mockmodule to facilitate testing.
11-11: Added import for OWASP organization constant.The
OWASP_ORGANIZATION_NAMEconstant is imported from the appropriate module for use in tests.
42-53: Comprehensive test for project name resolution.This test ensures the
resolve_project_namemethod correctly handles both OWASP prefixed project names and regular project names. It validates that the OWASP prefix is properly stripped when present.
54-62: Good test for URL resolution.The test verifies that the
resolve_urlmethod correctly returns the URL attribute, ensuring this GraphQL resolver works as expected.backend/tests/apps/github/index/issue_test.py (1)
1-46: Great test implementation with thorough coverage for the IssueIndex classThis is a well-structured test file that follows good testing practices. The test class isolates dependencies through mocking and effectively tests both the
update_synonymsandget_entitiesmethods of theIssueIndexclass.A few suggestions to enhance the test coverage:
- Consider adding tests for edge cases or failure scenarios, such as when repositories are unavailable or when prefetch operations fail
- You might want to add assertions verifying the exact parameters passed in the select_related and prefetch_related calls rather than just verifying they were called
backend/tests/apps/github/management/commands/github_update_owasp_organization_test.py (4)
49-62: Good addition of test for bad credentials scenarioThe test for handling bad GitHub credentials is a valuable addition that improves coverage of error handling scenarios. The test effectively verifies that the appropriate warning is logged when the GitHub API returns a 401 error.
163-170: Well-implemented conditional mock setup for project objectsThis implementation correctly mocks the project objects based on repository name patterns, which helps test the specific behavior when a repository name starts with "www-project-".
183-185: Good verification of project repository associationThe test now properly verifies that repositories are added to projects when the repository name matches the expected pattern.
204-204: Important resource cleanup verificationGood addition of checking that the GitHub client is properly closed after use, which helps prevent resource leaks.
backend/tests/apps/owasp/models/snapshot_test.py (2)
11-19: Good refactoring to pytest and use of fixturesThe transition to pytest and the use of fixtures for test data is a significant improvement over the previous implementation. The snapshot_data fixture provides a clean way to share test data across test methods.
52-67: Good use of parameterized tests for status choicesThe parameterized test for status choices is a clean and efficient way to verify all possible status values. This is a great example of effective pytest usage.
backend/tests/apps/github/index/repository_test.py (1)
1-37: Well-structured repository index tests - good test coverageThis test class effectively tests the key functionalities of the
RepositoryIndexclass using appropriate mocking techniques. The test coverage includes bothupdate_synonymsandget_entitiesmethods, ensuring they work as expected.Good practices observed:
- Clean setup with proper dependency mocking
- Clear test assertions verifying both method calls and their arguments
- Isolation of unit tests from actual database interactions
- Consistent approach with other index tests in the codebase
backend/tests/apps/github/index/release_test.py (1)
1-37: Well-structured release index tests - good test coverageThe test class properly tests the key functionalities of the
ReleaseIndexclass. The approach mirrors the repository index tests, showing consistency in the testing strategy across the codebase.Good practices observed:
- Proper mocking of dependencies for isolated unit testing
- Testing of both
update_synonymsandget_entitiesmethods- Verification of correct filter parameters for releases (is_draft=False, published_at__isnull=False)
- Clear assertions that verify expected behavior
backend/tests/apps/github/graphql/queries/release_test.py (5)
8-11: Good use of constants for test configurationClear definition of limit constants at the top of the file makes the tests more readable and maintainable.
13-31: Well-designed test fixture for mock releasesThe fixture creates a set of mock releases with decreasing dates, which is perfect for testing ordering functionality. The setup is comprehensive and reusable across multiple tests.
34-45: Good test for default limit behaviorThe test properly verifies that:
- The correct ordering is applied (-created_at)
- All releases are returned when using the default limit
- The result matches the expected mock releases
47-62: Good test for custom limit behaviorThis test effectively verifies the slicing behavior when a custom limit is applied. It correctly mocks the queryset's
__getitem__method and verifies both the method calls and the limited result set.
64-97: Comprehensive GraphQL query testThe test effectively verifies the integration with GraphQL by:
- Mocking the GraphQL client's response
- Executing a realistic query with field selection
- Verifying the response structure and content
The assertions thoroughly check that the response contains the expected data and respects the specified limit.
backend/tests/apps/github/api/user_test.py (4)
8-9: Good use of HTTP status constantsUsing descriptive constants for HTTP status codes improves readability and maintainability.
68-75: Well-structured UserViewSet test fixtureThe fixture properly sets up the UserViewSet for testing, providing a clean instance for each test.
76-91: Good test for successful user retrievalThis test effectively verifies that:
- The correct User.objects.get method is called with the expected login
- A successful response (200) is returned when the user exists
92-102: Good test for user not found scenarioThis test properly verifies the error handling when a user doesn't exist:
- Correctly mocks the DoesNotExist exception
- Verifies the 404 status code is returned
- Checks that the expected error message is included in the response
backend/tests/apps/github/graphql/nodes/repository_test.py (9)
3-14: Import and constant organization looks goodThe imports have been appropriately organized with standard library imports first, followed by third-party and local imports. Including the constants
RECENT_ISSUES_LIMITandRECENT_RELEASES_LIMITfrom the repository module ensures the tests stay in sync with actual implementation values.
54-60: Well-structured test for resolve_languagesThis test effectively verifies that the resolver correctly extracts language names from the languages dictionary.
67-73: Well-structured test for resolve_topicsThis test appropriately verifies that the resolver returns the expected topics without modification.
79-97: Well-structured test for resolve_issuesThe test properly verifies the full method chain and expected behavior including:
- Calling
select_relatedwith "author"- Ordering by "-created_at"
- Slicing results using
RECENT_ISSUES_LIMIT- Returning the correct data
The use of
assert_called_once_withensures the exact parameters are verified.
103-118: Well-structured test for resolve_releasesThe test thoroughly checks the full method chain and expected behavior including:
- Ordering by "-published_at"
- Slicing results using
RECENT_RELEASES_LIMIT- Returning the correct data
This follows the same robust pattern as the previous test.
124-131: Good test for resolve_top_contributorsThis test effectively verifies the resolver returns the top contributors directly from the model instance.
137-144: Simple and effective test for resolve_urlThe test properly verifies that the resolver returns the URL directly from the model instance.
145-157: Good test for resolve_latest_releaseThe test effectively verifies that the resolver returns the latest release directly from the model instance.
158-169: Good test for resolve_owner_keyThe test correctly verifies that the resolver returns the owner key directly from the model instance.
backend/tests/apps/github/models/managers/repository_contributor_test.py (5)
1-10: Good import organizationThe imports follow best practices with standard library imports first, followed by third-party and then local imports.
12-30: Well-structured test for RepositoryContributorQuerySet.by_humansThis test effectively verifies that:
- The method filters out bot users (
user__is_bot=False)- It excludes non-indexable users using the
User.get_non_indexable_loginsmethod- Returns the expected filtered queryset
Good use of assertion to verify exact method calls with
assert_called_once_with.
32-61: Thorough test for RepositoryContributorManager.get_querysetThe test properly verifies that:
- The queryset is initialized with the correct model and using parameter
select_relatedis called with the correct relationship fields ("repository", "user")- The method returns the expected result
Good use of context manager with
patchto mock the queryset class.
62-74: Good test for RepositoryContributorManager.by_humansThe test efficiently verifies that:
get_querysetis calledby_humansis called on the returned queryset- The method returns the result from the queryset's
by_humansmethodThis ensures proper method delegation to the queryset.
75-86: Good test for RepositoryContributorManager.to_community_repositoriesThe test properly verifies that:
get_querysetis calledto_community_repositoriesis called on the returned queryset- The method returns the result from the queryset's method
This ensures proper method delegation to the queryset, following the same good pattern as the previous test.
backend/tests/apps/common/management/commands/add_project_custom_tags_test.py (2)
8-9: Import separation improvedGood change to import
Projectfrom its model module rather than from the command module. This helps avoid potential circular import issues and makes the dependencies more explicit.
16-17:✅ Verification successful
Verify expected output matches implementation
The expected output for the file-not-found test case has been simplified from a full path to just "File not found:". Ensure this matches the actual implementation of the command's error message.
🏁 Script executed:
#!/bin/bash # Check the actual implementation of the error message in add_project_custom_tags.py rg -A 2 "File not found" backend/apps/owasp/management/commands/add_project_custom_tags.pyLength of output: 174
Verification Successful: Expected Output Matches Implementation
- The command writes the error message as
self.stderr.write(f"File not found: {file_path}"), so the output always begins with"File not found:".- The test simplification to expect just
"File not found:"is correct since it only verifies the fixed prefix.backend/tests/apps/github/graphql/queries/repository_contributor_test.py (5)
1-22: Good test setup with constantsThe file is well-organized with clearly defined constants for test data. This makes the tests more maintainable and easier to understand, as the values can be referenced by name throughout the test cases. The logical grouping of constants (limits, user data, etc.) promotes readability.
24-44: Well-structured fixture for contributor dataThis fixture properly creates a reusable mock dataset with all the necessary fields for testing. The consistent data structure with clear field names makes the tests more readable and maintainable.
46-72: Thorough test for resolve_top_contributorsThis test effectively verifies that:
- The method builds the expected queryset chain (by_humans → to_community_repositories → filter → annotate → values → order_by)
- It returns the correct number of contributors
- Each contributor has the expected properties (login, contributions_count, project_name, project_url)
The extensive assertions ensure all aspects of the returned data are verified.
74-93: Good test for custom limit handlingThis test properly verifies that the custom limit parameter is applied correctly, limiting the number of returned contributors. The focused assertions on the first contributor's properties are sufficient for this test case.
95-147: Comprehensive GraphQL query testThis test effectively verifies the end-to-end GraphQL query execution by:
- Mocking the GraphQL client response
- Checking that no errors occur during execution
- Verifying the data structure matches expectations
- Ensuring all contributor properties are returned correctly
The explicit query string and detailed assertions provide excellent coverage for this functionality.
backend/tests/apps/github/models/managers/issue_manager_test.py (4)
1-8: Clean imports following good practicesThe imports are organized well with standard library imports first, followed by third-party libraries (pytest), and then application-specific imports. This follows the recommended Python import ordering.
10-20: Well-structured test fixturesThese fixtures are well-designed for unit testing. The
mock_querysetprovides a clean isolation point, andopen_issue_managerproperly uses the mock to avoid actual database calls. The setup allows for focused testing of the manager's methods without dependencies on actual database behavior.
21-45: Comprehensive test for get_queryset methodThis test thoroughly validates the
get_querysetmethod's behavior, including relationship loading and filtering conditions. The date comparison on line 42 uses a smart approach to handle potential time differences by checking that dates are within 1 day of each other.
55-63: LGTM - Comprehensive test for without_summary propertyThe test correctly verifies both the filter condition (
summary="") and the return value for thewithout_summaryproperty. This provides good coverage for this manager property.backend/tests/apps/owasp/management/commands/owasp_update_events_test.py (6)
1-16: Well-organized imports and constantsThe imports are properly organized, and using constants for repeated values (like
expected_event_count,global_events, etc.) follows good practices for maintainability.
18-48: Well-structured mock data fixtureThe
mock_yaml_datafixture provides a realistic representation of the expected YAML structure, including both global and regional events. This promotes test readability and maintainability.
50-84: Thorough test of command execution with valid dataThis test comprehensively checks the command's behavior with valid data, verifying that:
- The correct URL is accessed
- The update_data method is called the expected number of times
- The calls are made with the correct data
- bulk_save is called with the expected data structure
The test provides good coverage of the happy path for this command.
85-107: Good coverage of edge casesThese tests cover important edge cases - empty data and categories with no events. Both verify that
bulk_saveis called with an empty list, ensuring the command behaves correctly in these scenarios.
108-120: Proper error handling testThis test verifies that YAML parsing errors are properly propagated and that
bulk_saveis not called in case of an error - a critical aspect of error handling. The use ofpytest.raisescorrectly checks that the specific error is raised.
121-125: Documentation validationTesting the command's help text ensures that the documentation stays up-to-date and accurately describes the command's purpose, which is good practice for maintaining high-quality user-facing information.
backend/tests/apps/github/graphql/queries/issue_test.py (4)
1-12: Appropriate importsThe imports are well-organized and appropriate for testing a GraphQL component. The use of both unit testing tools (
unittest.mock) and GraphQL testing utilities (graphene.test.Client) shows a good understanding of the testing requirements.
14-44: Well-designed test fixturesThese fixtures provide a clean setup for the tests:
issue_queryreturns a clean instance of the class under testmock_issuesprovides test data without database dependenciesschemacreates a test GraphQL schemaclientprovides a GraphQL client for integration testingThis separation of concerns makes the tests more readable and maintainable.
52-80: Thorough testing of resolve_recent_issues with different limitsThese tests provide good coverage of the
resolve_recent_issuesmethod with both default and custom limits. They verify:
- The correct ordering is applied
- The appropriate slice is used to limit results
- The correct results are returned
This ensures the core functionality of the GraphQL query works as expected.
81-88: Good field definition validationTesting that the GraphQL field is defined correctly with the right type and default argument values ensures the schema works as expected and maintains backward compatibility.
backend/tests/apps/owasp/management/commands/owasp_update_sponsors_test.py (7)
1-16: Clean imports and class definitionThe imports are well-organized, following Python conventions. The class name
TestOWASPUpdateSponsorsCommandclearly indicates its purpose, making the code easy to understand.
17-30: Useful test fixturesThese fixtures provide good test infrastructure:
mock_stdoutcaptures command output for verification if neededsample_sponsors_dataprovides realistic test data with multiple sponsor levelsThe fixtures follow the single responsibility principle and provide clean isolation points.
31-52: Comprehensive command execution testThis test thoroughly verifies the command's behavior with valid data:
- It checks that data is fetched from the correct URL
- It verifies
bulk_saveis called with the expected data- It confirms the correct number of sponsors are processed
- It ensures the sponsor data is preserved correctly
This provides good coverage of the happy path.
53-69: Good isolation of YAML parsing logicBy mocking
yaml.safe_load, this test isolates the YAML parsing logic and verifies it's called with the correct content. This type of isolation is crucial for unit testing to avoid dependencies on external parsing behavior.
70-87: Thorough validation of sponsor data processingThis test provides detailed verification that each sponsor is processed by the
update_datamethod, usingassert_has_callsto check both the call count and the exact arguments for each call. This level of detail ensures the data transformation logic works correctly.
88-99: Edge case handling for empty dataTesting the command's behavior with empty data is important for robustness. This test confirms that
bulk_saveis called with an empty list when no sponsors are present, preventing potential issues in production.
100-121: Verify tab expansion on fetched contentThis test checks an important detail - that the
expandtabsmethod is called on the content before YAML parsing, which helps handle potential formatting issues in the source YAML. Testing this specific method call shows attention to detail in the test coverage.backend/tests/apps/github/api/search/user_test.py (1)
1-138: Excellent comprehensive test suite for GitHub user search API!This is a well-structured test suite that thoroughly tests both the
get_usersandraw_searchfunctions under various conditions. The tests cover default parameters, custom attributes, pagination, searchable attributes, and direct function calls.I particularly like the systematic approach to testing each parameter variation separately before combining them in
test_get_users_with_all_custom_parameters. This makes it easier to identify specific issues when tests fail.A suggestion for future enhancement could be adding additional test cases for error handling or edge cases like empty results.
backend/tests/apps/common/management/commands/generate_sitemap_test.py (1)
1-155: Thorough test coverage for the sitemap generation command!The test organization, fixtures, and detailed assertions provide excellent coverage for the command's functionality. The proper use of mocking prevents actual filesystem operations during testing.
backend/tests/apps/common/utils_test.py (5)
65-69: Well-implemented test for get_nest_user_agent!Good use of mocking settings to test the function's behavior.
71-80: Good test coverage for slugify functionThe parameterized test cases effectively cover different input scenarios, including spaces, multiple dashes, and special characters.
81-91: Clear and comprehensive test for truncate functionThe test cases effectively cover key scenarios: text longer than the limit, text shorter than the limit, and custom truncation text.
92-104: Well-structured parametrized test for IP address detectionGreat improvement using a dictionary for the request metadata, which more accurately reflects how the function would be used in production.
105-117: Good type testing for natural_dateTesting the return type is important for functions that might return different types based on the input.
backend/tests/apps/owasp/models/sponsor_test.py (1)
1-195: Well-structured and thorough test suite for the Sponsor model!The test cases comprehensively cover all aspects of the Sponsor model including string representation, property getters, data update methods, and various data population scenarios.
Good use of mocking and fixtures to isolate the tests from actual database operations.
backend/tests/apps/core/api/algolia_test.py (7)
6-6: Good addition of AlgoliaException import.Adding this import allows for proper testing of exception handling scenarios, which is essential for robust test coverage.
20-23: Well-defined constants improve readability.Extracting these values into named constants makes the test more maintainable and self-documenting. This is particularly valuable for status codes and error messages that may be used multiple times.
57-57: Good use of the constant instead of hardcoded string.Replacing the hardcoded string with the
GET_SEARCH_RESULTS_PATHconstant improves maintainability.
97-122: Well-implemented cache test.This test properly verifies that the caching mechanism works by confirming that the underlying function is only called once for identical requests. The assertions validate both the response content and the call count.
177-179: Updated assertions for consistent error handling.Using the constants for status code and error message ensures consistency across tests and matches the application's error handling approach.
180-204: Comprehensive test for Algolia exception handling.This test properly verifies that when Algolia throws an exception, the application returns a standardized error response rather than exposing the exception details to the client, which is good security practice.
205-241: Thorough test for the get_search_results function.This test comprehensively validates the direct functionality of the
get_search_resultsfunction, including proper parameter construction and result processing. The use of detailed assertions ensures the function behaves as expected.backend/tests/apps/github/management/commands/github_update_project_related_repositories_test.py (8)
4-4: Good addition of UnknownObjectException import.Adding this specific exception import is necessary for the new tests that explicitly test handling of GitHub exception cases.
12-15: Well-defined constants improve maintainability.Extracting these values into named constants instead of using magic numbers and inline strings makes the tests more maintainable and self-documenting.
27-27: Good use of constant for test repository URL.Using the
test_repo_urlconstant instead of a hardcoded string improves consistency and makes future updates easier.
63-63: Updated test to use constants.Using constants for test repository path and URL makes the test more maintainable and ensures consistency across assertions.
Also applies to: 93-94
106-149: Comprehensive test for invalid repository path.This test properly verifies the behavior when the repository path cannot be determined, including logging and appropriate handling to prevent errors.
151-201: Well-structured test for GitHub 404 exception.This test effectively verifies that when a repository is not found (404 error), the URL is correctly moved from
related_urlstoinvalid_urlsand the appropriate fields are updated.
203-254: Good test for server error handling.This test verifies that other GitHub exceptions (like 500 errors) are properly propagated and that no repository sync occurs in this case. This is important for distinguishing between expected errors and unexpected ones.
256-325: Thorough test for handling multiple related URLs.This test comprehensively verifies that projects with multiple GitHub repository URLs are processed correctly, with the appropriate number of method calls and proper organization/repository relationships.
backend/tests/apps/common/index_test.py (13)
1-1: Good addition of Path import.Adding the Path import from pathlib is appropriate for working with file paths in a platform-independent way.
20-21: Well-defined constants improve readability.Adding meaningful constants for expected values makes the tests more maintainable and self-documenting.
81-95: Well-implemented fixture for database settings.This fixture properly mocks database environment variables to prevent connection errors during tests, which is essential for reliable test execution.
129-159: Comprehensive test for registration with DB environment variables.This test thoroughly verifies that registration works correctly with explicit database environment variables, which is important for ensuring proper behavior in different deployment environments.
177-192: Good test for IP address forwarding.This test verifies that the client properly includes the provided IP address in the headers, which is important for accurate tracking and logging.
230-240: Useful test for non-indexable configuration case.This test verifies that the application correctly handles the case when an index is not indexable, preventing unnecessary operations.
246-277: Well-structured test for synonyms file parsing.This test thoroughly verifies the parsing of synonym definitions from a file, including different synonym types (regular and one-way) and handling of whitespace.
278-286: Good test for file not found error handling.This test ensures that the application handles missing synonym files gracefully and logs the appropriate exception.
307-332: Thorough test for filters in count queries.This test properly verifies that search filters are correctly applied when getting the total count from Algolia, which is important for accurate filtering functionality.
333-355: Comprehensive test for synonym reindexing.This test thoroughly verifies the reindexing of synonyms, including clearing existing synonyms and saving new ones with the appropriate options.
356-369: Good test for missing synonyms file during reindexing.This test ensures that the application handles missing synonym files gracefully during reindexing operations.
370-388: Well-implemented test for Algolia exceptions during reindexing.This test verifies that exceptions from the Algolia API during reindexing are properly caught and logged, preventing application crashes.
390-424: Good test class for the get_queryset method.This new class thoroughly tests the
get_querysetmethod behavior under different conditions (local build vs. non-local build, empty vs. non-empty results).backend/tests/apps/github/management/commands/github_enrich_issues_test.py (6)
1-28: Well-structured class-based test approach with fixtures.Organizing the tests in a class with reusable fixtures makes the code more maintainable and reduces duplication. The fixtures for the command and mock issue are well-defined.
29-58: Comprehensive parameterization for testing various configurations.The test parameterization covers a good range of combinations for the command options, which ensures thorough testing of different scenarios.
59-114: Thorough test for the handle method with various parameters.This test comprehensively verifies the command's behavior with different parameter combinations, including assertions for the correct number of method calls based on the parameters.
115-168: Good test for batch processing logic.This test verifies that the command correctly handles large batches of issues by using multiple bulk save operations, which is important for performance and memory management.
169-201: Well-implemented test for empty issues list.This test ensures that the command behaves correctly when no issues are found, which is an important edge case.
202-246: Thorough test for force update logic.This test verifies that the force update flags correctly affect which query method is used to select issues, which is important for ensuring the right issues are processed.
backend/tests/apps/github/graphql/nodes/user_test.py (12)
4-4: Good import structureThe import statement correctly specifies the exact classes needed for testing rather than using wildcard imports, which is a good practice for maintaining clear dependencies.
7-20: Well-defined test constantsGood use of descriptive constant names at the module level. This improves readability and maintainability by avoiding magic values in the test methods.
52-60: Test follows good practicesThe test method correctly verifies the behavior of
resolve_created_atwith appropriate assertions and clearly explains its purpose through the docstring.
61-69: Test follows good practicesThe test method correctly verifies the behavior of
resolve_updated_atwith appropriate assertions and clearly explains its purpose through the docstring.
70-78: Test follows good practicesThe test method correctly verifies the behavior of
resolve_urlwith appropriate assertions and clearly explains its purpose through the docstring.
79-103: Test with comprehensive mock dataGood test for
resolve_issuesmethod that uses realistic mock data structure and verifies the expected behavior. The mock data includes all necessary attributes to test the method properly.
104-112: Test follows good practicesThe test method correctly verifies the behavior of
resolve_issues_countwith appropriate assertions and clearly explains its purpose through the docstring.
113-137: Test with comprehensive mock dataGood test for
resolve_releasesmethod that uses realistic mock data structure and verifies the expected behavior. The mock data includes all necessary attributes to test the method properly.
138-146: Test follows good practicesThe test method correctly verifies the behavior of
resolve_releases_countwith appropriate assertions and clearly explains its purpose through the docstring.
147-152: Test validates type initializationGood test for
RepositoryTypeclass initialization that verifies the correct assignment of attributes.
153-168: Test validates type initialization with complete attributesThorough test for
IssueTypeclass initialization that verifies the correct assignment of all attributes, including nested repository object.
169-183: Test validates type initialization with complete attributesThorough test for
ReleaseTypeclass initialization that verifies the correct assignment of all attributes, including nested repository object.backend/tests/apps/github/models/label_test.py (8)
1-2: Good import organizationImports are cleanly organized with standard library imports first (unittest.mock), followed by third-party imports (pytest), which follows PEP 8 conventions.
8-21: Good use of pytest fixturesExcellent use of pytest fixtures to create reusable test objects. The fixtures for
labelandgh_labelhelp reduce code duplication and make the tests more maintainable.
22-31: Thorough tests for string representationGood coverage of both cases for the string representation: with and without a description. This ensures the
__str__method behaves correctly in all scenarios.
32-38: Good test for from_github methodThe test properly verifies that all attributes are correctly mapped from the GitHub label object to the model.
39-45: Updated bulk_save testThe test correctly uses MagicMock instead of Mock and properly verifies that the bulk_save method is called with the expected parameters.
46-58: Comprehensive test for update_data with existing labelThe test thoroughly verifies the behavior of update_data when a label with the given node_id already exists, checking that the existing label is updated and saved.
59-75: Thorough test for update_data with new labelThe test comprehensively verifies the behavior of update_data when a label with the given node_id doesn't exist, checking that a new label is created, populated, and saved.
76-86: Verify save behavior controlGood test for the
save=Falseparameter of update_data, ensuring the method updates the label's attributes without calling save() when requested.backend/tests/apps/common/open_ai_test.py (17)
14-20: Well-defined test constantsGood addition of descriptive constants for test data. Using constants for common values improves readability and maintainability.
24-27: Improved fixture with monkeypatchGood use of monkeypatch to set the OPEN_AI_SECRET_KEY directly, which is cleaner than mocking the entire settings module.
41-51: Good direct initialization testThis test verifies the direct initialization of the OpenAi class, checking that the client is properly created and default values are set correctly.
52-60: Enhanced parameterized test for set_inputGood update to include edge cases (empty string) in the parameterized test and to verify method chaining by checking that the result is the instance itself.
61-68: Direct test for set_inputGood addition of a direct test for the set_input method to ensure full coverage.
69-77: Enhanced parameterized test for set_max_tokensGood update to include edge cases (0, None) in the parameterized test and to verify method chaining by checking that the result is the instance itself.
78-86: Direct test for set_max_tokensGood addition of a direct test for the set_max_tokens method to ensure full coverage.
87-95: Enhanced parameterized test for set_promptGood update to include edge cases (empty string, None) in the parameterized test and to verify method chaining by checking that the result is the instance itself.
96-103: Direct test for set_promptGood addition of a direct test for the set_prompt method to ensure full coverage.
104-115: Test for method chainingExcellent test that verifies the method chaining behavior, ensuring that all methods return the instance itself and that all values are correctly set.
116-129: Test for API connection errorGood test for the error handling of APIConnectionError, verifying that the method returns None and logs the error message.
142-164: Comprehensive test for successful completionExcellent test that verifies the successful completion of an API call, checking that the method returns the expected response and calls the API with the correct parameters.
165-199: Test with actual input setupGood test that verifies the complete method with actual inputs, providing thorough coverage of the method's behavior.
200-241: Direct tests for error handlingGood addition of direct tests for error handling to ensure full coverage of both APIConnectionError and general Exception scenarios.
242-259: Parameterized test for constructor parametersExcellent test that verifies the constructor with different parameter combinations, ensuring that all parameters are correctly set.
260-267: Parameterized test for custom modelGood test that verifies the constructor with different model parameters, ensuring that the model is correctly set.
268-275: Parameterized test for custom temperatureGood test that verifies the constructor with different temperature parameters, ensuring that the temperature is correctly set.
| def test_str_representation(self, snapshot_data): | ||
| with patch.object(Snapshot, "__str__", return_value=snapshot_data["title"]): | ||
| snapshot = MagicMock(spec=Snapshot) | ||
| snapshot.title = snapshot_data["title"] | ||
| assert Snapshot.__str__(snapshot) == snapshot_data["title"] | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Improve the string representation test
The current implementation of test_str_representation isn't actually testing the behavior of the __str__ method—it's patching the very method it's trying to test. Consider rewriting this test to directly verify the string representation without patching:
def test_str_representation(self, snapshot_data):
- with patch.object(Snapshot, "__str__", return_value=snapshot_data["title"]):
- snapshot = MagicMock(spec=Snapshot)
- snapshot.title = snapshot_data["title"]
- assert Snapshot.__str__(snapshot) == snapshot_data["title"]
+ with patch("apps.owasp.models.snapshot.Snapshot") as MockSnapshot:
+ mock_snapshot = MockSnapshot.return_value
+ mock_snapshot.title = snapshot_data["title"]
+ # Create an instance of the real class to test
+ snapshot = Snapshot()
+ snapshot.title = snapshot_data["title"]
+ # Test the actual implementation
+ assert str(snapshot) == snapshot_data["title"]Committable suggestion skipped: line range outside the PR's diff.
| def test_save_with_key(self): | ||
| snapshot = MagicMock(spec=Snapshot) | ||
| snapshot.key = "2022-01" | ||
|
|
||
| with patch.object(Snapshot, "save", autospec=True) as mock_super_save: | ||
| Snapshot.save(snapshot) | ||
| assert snapshot.key == "2022-01" | ||
| mock_super_save.assert_called_once() | ||
|
|
||
| def test_save_without_key(self): | ||
| mock_date = datetime(2023, 5, 15, tzinfo=dt_timezone.utc) | ||
|
|
||
| def mock_snapshot_save(self): | ||
| if not self.key: | ||
| self.key = mock_date.strftime("%Y-%m") | ||
|
|
||
| snapshot = MagicMock(spec=Snapshot) | ||
| snapshot.key = "" | ||
|
|
||
| with ( | ||
| patch("django.utils.timezone.now", return_value=mock_date), | ||
| patch.object(Snapshot, "save", autospec=True, side_effect=mock_snapshot_save), | ||
| ): | ||
| Snapshot.save(snapshot) | ||
| assert snapshot.key == "2023-05" | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Refactor save method tests for clarity and completeness
The current tests for the save method have some unusual patterns:
- In
test_save_with_key, you're patching the method being tested - In
test_save_without_key, you're using a side_effect that simulates what the method should do
Consider simplifying these tests to more directly verify the behavior:
def test_save_with_key(self):
- snapshot = MagicMock(spec=Snapshot)
- snapshot.key = "2022-01"
-
- with patch.object(Snapshot, "save", autospec=True) as mock_super_save:
- Snapshot.save(snapshot)
- assert snapshot.key == "2022-01"
- mock_super_save.assert_called_once()
+ # Create a real instance with a key
+ snapshot = Snapshot()
+ snapshot.key = "2022-01"
+
+ # Patch the parent's save method to avoid DB calls
+ with patch("django.db.models.Model.save") as mock_super_save:
+ snapshot.save()
+ # Verify key remains unchanged
+ assert snapshot.key == "2022-01"
+ # Verify parent save was called
+ mock_super_save.assert_called_once()
def test_save_without_key(self):
mock_date = datetime(2023, 5, 15, tzinfo=dt_timezone.utc)
- def mock_snapshot_save(self):
- if not self.key:
- self.key = mock_date.strftime("%Y-%m")
-
- snapshot = MagicMock(spec=Snapshot)
- snapshot.key = ""
+ # Create a real instance without a key
+ snapshot = Snapshot()
+ snapshot.key = ""
with (
patch("django.utils.timezone.now", return_value=mock_date),
- patch.object(Snapshot, "save", autospec=True, side_effect=mock_snapshot_save),
+ patch("django.db.models.Model.save"), # Patch parent save to avoid DB calls
):
- Snapshot.save(snapshot)
+ snapshot.save()
assert snapshot.key == "2023-05"📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| def test_save_with_key(self): | |
| snapshot = MagicMock(spec=Snapshot) | |
| snapshot.key = "2022-01" | |
| with patch.object(Snapshot, "save", autospec=True) as mock_super_save: | |
| Snapshot.save(snapshot) | |
| assert snapshot.key == "2022-01" | |
| mock_super_save.assert_called_once() | |
| def test_save_without_key(self): | |
| mock_date = datetime(2023, 5, 15, tzinfo=dt_timezone.utc) | |
| def mock_snapshot_save(self): | |
| if not self.key: | |
| self.key = mock_date.strftime("%Y-%m") | |
| snapshot = MagicMock(spec=Snapshot) | |
| snapshot.key = "" | |
| with ( | |
| patch("django.utils.timezone.now", return_value=mock_date), | |
| patch.object(Snapshot, "save", autospec=True, side_effect=mock_snapshot_save), | |
| ): | |
| Snapshot.save(snapshot) | |
| assert snapshot.key == "2023-05" | |
| def test_save_with_key(self): | |
| # Create a real instance with a key | |
| snapshot = Snapshot() | |
| snapshot.key = "2022-01" | |
| # Patch the parent's save method to avoid DB calls | |
| with patch("django.db.models.Model.save") as mock_super_save: | |
| snapshot.save() | |
| # Verify key remains unchanged | |
| assert snapshot.key == "2022-01" | |
| # Verify parent save was called | |
| mock_super_save.assert_called_once() | |
| def test_save_without_key(self): | |
| mock_date = datetime(2023, 5, 15, tzinfo=dt_timezone.utc) | |
| # Create a real instance without a key | |
| snapshot = Snapshot() | |
| snapshot.key = "" | |
| with ( | |
| patch("django.utils.timezone.now", return_value=mock_date), | |
| patch("django.db.models.Model.save"), # Patch parent save to avoid DB calls | |
| ): | |
| snapshot.save() | |
| assert snapshot.key == "2023-05" |
| def test_algolia_search_json_decode_error(self): | ||
| """Test the scenario where the request body is not valid JSON.""" | ||
| mock_request = Mock() | ||
| mock_request.META = {"HTTP_X_FORWARDED_FOR": CLIENT_IP_ADDRESS} | ||
| mock_request.method = "POST" | ||
| mock_request.body = "invalid json data" | ||
|
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Incomplete test implementation for JSON decode error.
The test sets up a scenario with invalid JSON data but doesn't include any assertions or the actual call to algolia_search. This test will not validate the behavior properly.
Complete the test implementation by adding the function call and assertions:
def test_algolia_search_json_decode_error(self):
"""Test the scenario where the request body is not valid JSON."""
mock_request = Mock()
mock_request.META = {"HTTP_X_FORWARDED_FOR": CLIENT_IP_ADDRESS}
mock_request.method = "POST"
mock_request.body = "invalid json data"
+
+ response = algolia_search(mock_request)
+ response_data = json.loads(response.content)
+
+ assert response.status_code == HTTP_STATUS_INTERNAL_ERROR
+ assert response_data["error"] == ERROR_MESSAGE_INTERNAL📝 Committable suggestion
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| def test_algolia_search_json_decode_error(self): | |
| """Test the scenario where the request body is not valid JSON.""" | |
| mock_request = Mock() | |
| mock_request.META = {"HTTP_X_FORWARDED_FOR": CLIENT_IP_ADDRESS} | |
| mock_request.method = "POST" | |
| mock_request.body = "invalid json data" | |
| def test_algolia_search_json_decode_error(self): | |
| """Test the scenario where the request body is not valid JSON.""" | |
| mock_request = Mock() | |
| mock_request.META = {"HTTP_X_FORWARDED_FOR": CLIENT_IP_ADDRESS} | |
| mock_request.method = "POST" | |
| mock_request.body = "invalid json data" | |
| response = algolia_search(mock_request) | |
| response_data = json.loads(response.content) | |
| assert response.status_code == HTTP_STATUS_INTERNAL_ERROR | |
| assert response_data["error"] == ERROR_MESSAGE_INTERNAL |
|
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Actionable comments posted: 1
🧹 Nitpick comments (1)
backend/tests/apps/slack/commands/community_test.py (1)
42-43: Consider adding more specific assertionsThe current assertion checks for "feedback" or "nest.owasp.dev" in the text. If the response has a specific expected format, consider making the assertions more precise to catch any changes in the response structure.
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backend/tests/apps/slack/commands/community_test.py(3 hunks)
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backend/tests/apps/slack/commands/community_test.py (1)
backend/apps/slack/commands/community.py (1)
community_handler(13-38)
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🔇 Additional comments (4)
backend/tests/apps/slack/commands/community_test.py (4)
23-29: Good test for disabled command behavior!This test effectively verifies that when Slack commands are disabled, the handler properly short-circuits without making API calls. This is an important edge case to cover.
31-44: Well-structured test with thorough assertions!This test comprehensively verifies the enabled command behavior, checking both the correct API calls and message content. The assertions on lines 42-43 are particularly good for ensuring the response contains the expected community information.
45-51: Good parameterized test case!Testing with a different user ID is a valuable addition to ensure the handler correctly uses the provided user information rather than hardcoding values.
53-66: Improved command registration test with proper mocking!The addition of the patch for
SlackConfig.appand the assertions on the command decorator significantly strengthen this test. It now properly verifies both the command registration and handler association.
| @@ -42,8 +87,7 @@ def test_community_handler(self, mock_client, mock_command, commands_enabled, ex | |||
| blocks = mock_client.chat_postMessage.call_args[1]["blocks"] | |||
| block_text = blocks[0]["text"]["text"] | |||
| expected_text = ( | |||
| "Please visit <https://nest.owasp.dev/community/members/|" | |||
| f"OWASP community> page{NL}" | |||
| "Please visit <https://nest.owasp.dev/community/users/|OWASP community> page\n" | |||
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URL inconsistency between test methods
Line 90 was updated to use the new path /community/users/, but line 106 still checks for the old path /community/members/. This inconsistency will cause the test_community_handler_block_structure test to fail.
Apply this fix:
- assert "https://nest.owasp.dev/community/members/" in blocks[0]["text"]["text"]
+ assert "https://nest.owasp.dev/community/users/" in blocks[0]["text"]["text"]For better maintainability, consider extracting the URL as a constant to avoid this type of inconsistency in the future.
Also applies to: 106-106
Resolves #613