361 test geometries with hypothesis #364
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Review changes with SemanticDiff. Analyzed 14 of 18 files. Overall, the semantic diff is 5% smaller than the GitHub diff. 1 files do not contain logic changes.
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Reviewer's Guide by SourceryThis pull request implements property-based testing for geometry classes using the Hypothesis library. It also includes improvements to the existing code, such as adding precision handling for coordinate string representations and implementing equality methods for geometry classes. No diagrams generated as the changes look simple and do not need a visual representation. File-Level Changes
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WalkthroughThe pull request introduces several enhancements across various files, focusing on improving testing capabilities, coverage reporting, and KML feature functionalities. Key changes include updates to GitHub workflows for stricter coverage thresholds, modifications to pre-commit hooks for Python version compatibility, and enhancements to geometry classes to support precision in KML output. New property-based tests utilizing the Hypothesis library are added for comprehensive coverage of geometry classes, ensuring their reliability through extensive automated testing. Changes
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❌ Changes requested. Reviewed everything up to 8aab9e6 in 1 minute and 3 seconds
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1787lines of code in17files - Skipped
0files when reviewing. - Skipped posting
2drafted comments based on config settings.
1. .github/workflows/run-all-tests.yml:153
- Draft comment:
The removal of thepasswordfield for PyPI publishing might cause issues unless the token is set elsewhere. Ensure that the token is configured correctly in the environment or elsewhere in the workflow. - Reason this comment was not posted:
Comment did not seem useful.
2. fastkml/geometry.py:493
- Draft comment:
In the__eq__method, consider usinggetattrwith a default value to handle cases where attributes might not exist, preventing potentialAttributeError. This applies to other__eq__methods as well. - Reason this comment was not posted:
Confidence changes required:50%
The__eq__method implementations for geometry classes ensure proper equality checks, but they should handle potential attribute errors gracefully.
Workflow ID: wflow_WPrHuJdPtUnraFvB
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| tuples = (f"{c[0]:.{p}f},{c[1]:.{p}f}" for c in coords) | ||
| elif len(coords[0]) == 3: # noqa: PLR2004 | ||
| tuples = (f"{c[0]:.{p}f},{c[1]:.{p}f},{c[2]:.{p}f}" for c in coords) | ||
| if precision is None: |
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In coordinates_subelement, consider adding a check for empty coords to avoid potential errors when accessing coords[0].
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Hey @cleder - I've reviewed your changes - here's some feedback:
Overall Comments:
- Excellent work on improving test coverage and introducing property-based testing. The precision handling changes and equality comparisons will enhance the robustness of the geometry classes. This PR represents a significant quality improvement for the project.
Here's what I looked at during the review
- 🟡 General issues: 2 issues found
- 🟢 Security: all looks good
- 🟢 Testing: all looks good
- 🟢 Complexity: all looks good
- 🟢 Documentation: all looks good
Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
| tuples = (f"{c[0]:.{p}f},{c[1]:.{p}f}" for c in coords) | ||
| elif len(coords[0]) == 3: # noqa: PLR2004 | ||
| tuples = (f"{c[0]:.{p}f},{c[1]:.{p}f},{c[2]:.{p}f}" for c in coords) | ||
| if precision is None: |
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suggestion (performance): Move the dimension check to the beginning of the function
Consider moving the check for valid dimensions (len(coords[0]) not in (2, 3)) to the beginning of the function. This would prevent unnecessary string formatting for invalid input, improving efficiency.
if len(coords[0]) not in (2, 3):
raise ValueError("Coordinates must be 2D or 3D")
if precision is None:
| @@ -488,6 +489,21 @@ | |||
| """ | |||
| return bool(self.geometry) | |||
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| def __eq__(self, other: object) -> bool: | |||
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suggestion: Extract common equality check logic into a utility function
The eq methods for Point, LineString, and Polygon are very similar. Consider extracting this common logic into a utility function to reduce code duplication and improve maintainability.
def __eq__(self, other: object) -> bool:
return isinstance(other, Point) and geometry_equality(self, other)
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Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## develop #364 +/- ##
===========================================
+ Coverage 98.00% 98.12% +0.11%
===========================================
Files 47 50 +3
Lines 4567 4848 +281
Branches 215 148 -67
===========================================
+ Hits 4476 4757 +281
- Misses 58 63 +5
+ Partials 33 28 -5 ☔ View full report in Codecov by Sentry. |
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Actionable comments posted: 14
🧹 Outside diff range and nitpick comments (11)
tests/conftest.py (2)
1-6: Enhance the docstring to cover all registered profiles.The current docstring only mentions the 'exhaustive' profile. Consider expanding it to briefly describe all three profiles (exhaustive, coverage, and ci) registered in this file. This will provide a more comprehensive overview of the file's contents and purpose.
Here's a suggested improvement:
""" Configure the tests using Hypothesis profiles. Three profiles are registered: 1. 'exhaustive': Runs 10,000 examples. Run with `pytest --hypothesis-profile=exhaustive` 2. 'coverage': Runs 10 examples for coverage testing. 3. 'ci': Used for continuous integration testing. All profiles suppress the 'too_slow' health check. """
11-21: LGTM: Profile registrations are well-configured, with a suggestion for the ci profile.The profile registrations for exhaustive, coverage, and ci are well-configured and appropriate for their intended purposes. The consistent suppression of HealthCheck.too_slow across all profiles is noted.
Consider adding a
max_exampleslimit to the ci profile to prevent potentially long-running CI jobs. For example:settings.register_profile( "ci", max_examples=1000, # Adjust this value as needed suppress_health_check=[HealthCheck.too_slow] )This ensures that CI runs have a predictable upper bound on the number of examples they test.
tests/geometries/coordinates_test.py (1)
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32-38: Approved: Precision control added toto_stringmethodThe change to include a
precision=6parameter in theto_stringmethod call is a good improvement. It allows for more explicit control over the output format and aligns with the updated method signature mentioned in the summary.For improved clarity and to make the test's intention more explicit, consider adding a comment explaining the significance of the 6-decimal precision. For example:
# Test the to_string method with 6-decimal precision assert coordinates.to_string(precision=6).strip() == ( # ... rest of the assertion )This addition would help future developers understand why this specific precision was chosen for the test.
tests/geometries/boundaries_test.py (2)
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38-42: Approve the addition of precision parameter with a suggestion.The addition of the
precision=6parameter to theto_string()method call is a good improvement. It ensures that the test is more specific about the expected output format and aligns with the PR objectives to maintain precision in these method calls.Consider extracting the precision value to a constant at the module or class level for easier maintenance and consistency across tests. For example:
COORDINATE_PRECISION = 6 # Then in the test method: assert outer_boundary.to_string(prettyprint=False, precision=COORDINATE_PRECISION).strip() == ( # ... rest of the assertion )This would make it easier to adjust the precision for all tests if needed in the future.
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1-105: Overall assessment: Changes improve test precision and align with PR objectives.The modifications to both
test_outer_boundaryandtest_inner_boundarymethods consistently improve the precision of coordinate representation in the tests. These changes align well with the PR objectives to maintain precision into_string()method calls.The rest of the file, including other test methods, remains appropriately unchanged as they don't involve
to_string()calls that require precision adjustment.To further improve the test suite:
- Consider adding property-based tests using Hypothesis for these boundary classes, as mentioned in the PR objectives. This would complement the existing unit tests and potentially uncover edge cases.
- Ensure that the precision used in these tests (6 decimal places) is consistent with the precision used in the actual implementation of the boundary classes. If not already done, consider making this a configurable parameter at the module or class level.
tests/geometries/linearring_test.py (1)
48-49: Approved: Improved precision into_stringtestThe changes enhance the test by specifying a precise decimal place check (6 decimal places) for the coordinates in the
to_stringoutput. This improvement aligns well with the PR objectives of enhancing testing and maintaining precision.For consistency with the rest of the file, consider using double quotes for the string literal:
- "1.000000,0.000000 0.000000,0.000000</" - in linear_ring.to_string(precision=6) + "1.000000,0.000000 0.000000,0.000000</" + in linear_ring.to_string(precision=6)This change is purely stylistic and doesn't affect functionality.
.github/workflows/run-all-tests.yml (1)
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133-163: Improved package build and publish processExcellent updates to the publish job:
- Adding a step to install
pypa/buildensures you're using the latest build tools for creating distribution packages.- Commenting out the
passwordline in the PyPI publish action is consistent with the move to OIDC token-based authentication.These changes contribute to a more standardized and secure publishing process.
Consider removing the commented-out
passwordline entirely for cleaner code:- # password: ${{ secrets.PYPI_API_TOKEN }}pyproject.toml (1)
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132-132: Consider aligning line length settingsThe
max_line_lengthfor flake8 is set to 89, while theline_lengthfor isort is set to 88. To ensure consistency across linting tools and avoid potential conflicts, consider aligning these values. It's generally recommended to use the same line length for all tools.Suggestion:
[tool.flake8] max_line_length = 88 [tool.isort] line_length = 88Also applies to: 136-136
tests/geometries/point_test.py (1)
58-60: Improved precision specification and readability in 3D point test.The changes to this assertion are beneficial:
- The addition of
precision=6ensures consistent formatting of 3D coordinates.- The multi-line formatting improves readability.
These modifications align well with the PR objectives and the changes made to the 2D point test.
For consistency with the 2D point test, consider moving the
precisionargument to the same line as theto_string()call:assert "coordinates>1.000000,2.000000,3.000000</" in point.to_string(precision=6)This minor change would make the 2D and 3D test styles more uniform.
tests/geometries/polygon_test.py (1)
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1-265: Suggestion: Add a test case for precision verificationWhile the changes improve the precision of the tests, it might be beneficial to add a specific test case that verifies if the
precisionparameter in theto_string()method is respected in the output. This would ensure that the precision is correctly applied and maintained throughout the string representation process.Here's a suggested test case to add:
def test_to_string_precision(self): """Test if the precision parameter in to_string() is respected.""" poly = geo.Polygon([(0, 0), (0, 1.123456789), (1.987654321, 1), (1, 0), (0, 0)]) polygon = Polygon(ns="", geometry=poly) assert "0.000000,0.000000 0.000000,1.123457 1.987654,1.000000 1.000000,0.000000 0.000000,0.000000" in polygon.to_string(precision=6) assert "0.00000,0.00000 0.00000,1.12346 1.98765,1.00000 1.00000,0.00000 0.00000,0.00000" in polygon.to_string(precision=5)This test case would verify that different precision values result in the expected string output.
tests/hypothesis/multi_geometry_test.py (1)
85-86: Remove obsoletenoqacomments after refactoringWith the removal of
eval, the associated# noqa: S307comments become unnecessary. These comments were initially suppressing security warnings regarding the use ofeval. Removing them helps maintain code cleanliness and ensures linters can provide valuable insights.Apply this diff to remove the obsolete comments:
- new_mg = eval(repr(multi_geometry), {}, eval_locals) # noqa: S307 + new_mg = copy.deepcopy(multi_geometry)Now that
evalis no longer used, thenoqacomment is not needed.Also applies to: 236-237, 387-388, 538-539
📜 Review details
Configuration used: .coderabbit.yaml
Review profile: CHILL
📒 Files selected for processing (16)
- .github/workflows/run-all-tests.yml (2 hunks)
- .pre-commit-config.yaml (2 hunks)
- fastkml/features.py (1 hunks)
- fastkml/geometry.py (5 hunks)
- pyproject.toml (2 hunks)
- tests/conftest.py (1 hunks)
- tests/geometries/boundaries_test.py (2 hunks)
- tests/geometries/coordinates_test.py (1 hunks)
- tests/geometries/geometry_test.py (8 hunks)
- tests/geometries/linearring_test.py (1 hunks)
- tests/geometries/linestring_test.py (1 hunks)
- tests/geometries/multigeometry_test.py (8 hunks)
- tests/geometries/point_test.py (2 hunks)
- tests/geometries/polygon_test.py (2 hunks)
- tests/hypothesis/geometry_test.py (1 hunks)
- tests/hypothesis/multi_geometry_test.py (1 hunks)
🧰 Additional context used
🪛 GitHub Check: codecov/patch
fastkml/geometry.py
[warning] 505-505: fastkml/geometry.py#L505
Added line #L505 was not covered by tests
[warning] 660-660: fastkml/geometry.py#L660
Added line #L660 was not covered by tests
[warning] 1218-1218: fastkml/geometry.py#L1218
Added line #L1218 was not covered by tests
🔇 Additional comments (40)
tests/conftest.py (1)
8-9: LGTM: Imports are correct and well-placed.The necessary imports from the hypothesis library are correctly included and placed at the top of the file, adhering to PEP 8 guidelines.
.pre-commit-config.yaml (1)
80-80: Addition of Hypothesis library for mypyThe
hypothesislibrary has been added to theadditional_dependenciesfor themypyhook. This addition supports the PR objective of incorporating property-based tests using the Hypothesis library.Let's verify that Hypothesis is consistently added across the project:
#!/bin/bash # Description: Verify Hypothesis integration across the project # Check if Hypothesis is in pyproject.toml echo "Checking pyproject.toml for Hypothesis:" rg 'hypothesis' pyproject.toml # Check for Hypothesis imports in test files echo "Checking test files for Hypothesis imports:" rg '^from hypothesis' tests/ # Check for Hypothesis strategies in test files echo "Checking test files for Hypothesis strategies:" rg '@given' tests/ # Check CI configuration for Hypothesis echo "Checking CI configuration for Hypothesis:" rg 'hypothesis' .github/workflows/*.ymltests/geometries/boundaries_test.py (1)
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69-73: Approve the consistent use of precision parameter.The addition of the
precision=6parameter to theto_string()method call forInnerBoundaryIsis consistent with the change made forOuterBoundaryIs. This ensures uniformity in testing precision across different boundary types.As suggested in the previous comment, consider extracting the precision value to a constant for better maintainability. This applies to this test method as well.
.github/workflows/run-all-tests.yml (3)
130-132: Enhanced security for the publish jobGreat improvements to the publish job:
- Adding
environment: releaseassociates this job with a specific GitHub environment, allowing for better deployment control and potentially environment-specific secrets.- The
permissions: id-token: writeenables OpenID Connect (OIDC) token-based authentication, which is a more secure method for deployments.These changes align with modern best practices for secure CI/CD pipelines.
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1-163: Overall improvements to the CI/CD workflowThe changes in this file significantly enhance the CI/CD process:
- Increased test coverage requirements ensure better code quality.
- Enhanced security measures in the publish job align with best practices.
- Streamlined build and publish process with up-to-date tools.
These improvements contribute to a more robust and secure development workflow. Great job on these updates!
46-46: Increased coverage threshold to 95%The increase in coverage threshold from 88% to 95% aligns with the PR objectives and will ensure more comprehensive testing, which is great for code quality.
However, such a significant increase might be challenging to maintain. Let's verify the current coverage:
If the current coverage is significantly below 95%, consider discussing with the team about gradually increasing the threshold over time to avoid potential bottlenecks in development.
pyproject.toml (4)
80-80: LGTM: Addition of Hypothesis for property-based testingThe inclusion of Hypothesis as a test dependency aligns well with the PR objectives to enhance the testing framework with property-based tests. This addition will contribute to more robust and comprehensive testing of the geometry classes.
121-121: LGTM: Refined coverage exclusion for Protocol classesThe addition of the exclusion pattern for Protocol classes in the coverage configuration is a good practice. Protocol classes often don't contain implementation details, so excluding them from coverage reports helps maintain a more accurate representation of the codebase's test coverage.
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139-152: LGTM: Enhanced mypy configuration for stricter type checkingThe addition of stricter mypy settings is an excellent improvement to the project's type checking capabilities. These changes will help catch more potential type-related issues early in the development process. Some notable additions include:
disallow_any_generics: Prevents the use ofAnyin generics, encouraging more precise type annotations.disallow_incomplete_defs: Ensures all function parameters have type annotations.disallow_untyped_calls,disallow_untyped_defs,disallow_untyped_decorators: These settings collectively enforce type annotations throughout the codebase.These stricter settings will contribute to improved code quality and maintainability.
80-80: Overall assessment: Positive improvements to project configurationThe changes made to
pyproject.tomlcollectively enhance the project's development and quality assurance processes:
- Addition of Hypothesis for property-based testing
- Refined coverage exclusion for Protocol classes
- Updated linting configurations (with a minor suggestion for alignment)
- Significantly enhanced mypy configuration for stricter type checking
These modifications align well with the PR objectives to improve testing, code quality, and overall project robustness. The changes are well-considered and should contribute positively to the project's maintainability and reliability.
Also applies to: 121-121, 132-132, 136-136, 139-152
tests/geometries/linestring_test.py (1)
50-50: Approve change with a suggestion for backwards compatibility check.The addition of the
precision=6parameter to theto_string()method call improves the test's determinism and aligns with the PR objective of maintaining precision. This change enhances the robustness of the test by ensuring consistent coordinate representation.To ensure backwards compatibility, please verify if the
precisionparameter is optional in theto_string()method. If it's a required parameter, consider updating other calls toto_string()throughout the codebase or providing a default value.Run the following script to check for other
to_string()calls that might need updating:This will help identify if there are other places in the code that need to be updated for consistency.
✅ Verification successful
Approve change as
precisionis an optional parameter.The addition of the
precision=6parameter in theto_string()method enhances the test's determinism without impacting existing calls that omit theprecisionparameter. This ensures improved consistency in tests while maintaining backward compatibility.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Find all to_string() method calls in Python files # Search for to_string() calls without the precision parameter echo "to_string() calls without precision parameter:" rg --type python 'to_string\(\)' -g '!tests/geometries/linestring_test.py' # Search for to_string() calls with any parameters echo -e "\nto_string() calls with parameters:" rg --type python 'to_string\([^)]+\)' -g '!tests/geometries/linestring_test.py'Length of output: 408
Script:
#!/bin/bash # Description: Find all to_string() method calls in Python files # Search for to_string() calls without the precision parameter echo "to_string() calls without precision parameter:" rg --glob '*.py' 'to_string\(\)' -g '!tests/geometries/linestring_test.py' # Search for to_string() calls with any parameters echo -e "\nto_string() calls with parameters:" rg --glob '*.py' 'to_string\([^)]+\)' -g '!tests/geometries/linestring_test.py'Length of output: 29996
tests/geometries/point_test.py (2)
49-49: Improved precision specification in test assertion.The addition of the
precision=6argument in theto_string()method call enhances the test by ensuring that the coordinate output is formatted to six decimal places. This change aligns well with the PR objective of maintaining precision in geometry string representations and provides a more specific test case.
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1-307: Overall assessment of changes to point_test.pyThe modifications to this file are well-aligned with the PR objectives, particularly in maintaining precision in the
to_string()method calls. The changes improve the specificity of the tests for both 2D and 3D points, which should help catch any potential precision-related issues in thePointclass implementation.The updates are consistent and do not introduce any new issues or concerns. They contribute positively to the overall quality and reliability of the test suite.
tests/geometries/polygon_test.py (2)
44-44: LGTM: Precision parameter added toto_string()methodThe addition of
precision=6to theto_string()method call ensures consistent precision in the polygon's string representation. This change aligns with the PR objectives and improves the test's reliability.
61-65: LGTM: Precision parameter added toto_string()method for both boundariesThe addition of
precision=6to bothto_string()method calls ensures consistent precision in the string representation of both outer and inner boundaries. These changes align with the PR objectives and improve the test's reliability.tests/geometries/multigeometry_test.py (9)
35-35: LGTM: Precision parameter added correctlyThe addition of
precision=6to themg.to_string()call ensures consistent coordinate representation with 6 decimal places. This change aligns with the PR objective of maintaining precision in geometry string representations.
45-46: LGTM: Consistent precision applied to multiple assertionsThe addition of
precision=6to bothmg.to_string()calls ensures that all coordinate representations in this test method are consistently formatted with 6 decimal places. This change maintains the precision objective across multiple assertions.
71-73: LGTM: Precision added with improved readabilityThe addition of
precision=6to themg.to_string()call maintains consistency with the PR objective. The use of line breaks for this longer assertion improves code readability, which is a good practice for maintaining clean and understandable test code.
83-88: LGTM: Consistent precision and improved readabilityThe addition of
precision=6to bothmg.to_string()calls maintains the precision objective. The consistent use of line breaks for these longer assertions further improves code readability. This approach demonstrates a good balance between functionality and maintainability in test code.
118-118: LGTM: Precision added to polygon coordinate assertionThe addition of
precision=6to themg.to_string()call within the multi-line string assertion ensures that polygon coordinates are consistently represented with 6 decimal places. This change maintains the precision objective for more complex geometry types.
139-143: LGTM: Comprehensive precision applied to polygon with holesThe addition of
precision=6to bothmg.to_string()calls ensures that coordinates for both the outer and inner boundaries of the polygon are consistently represented with 6 decimal places. This comprehensive approach maintains the precision objective for complex polygon geometries with holes.
166-174: LGTM: Thorough precision implementation for multiple polygonsThe addition of
precision=6to all threemg.to_string()calls ensures that coordinates for multiple polygons, including those with holes, are consistently represented with 6 decimal places. This thorough implementation maintains the precision objective across various polygon configurations within a multi-polygon geometry.
221-221: LGTM: Precision maintained in heterogeneous geometry collectionThe addition of
precision=6to themg.to_string()call ensures that point coordinates within a heterogeneous geometry collection are consistently represented with 6 decimal places. This change demonstrates that the precision objective is maintained across different geometry types, including when they are part of a collection.
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1-424: Summary: Consistent precision implementation across geometry typesThe changes in this file consistently add the
precision=6parameter toto_string()method calls across various geometry types and structures. This implementation ensures that all coordinate representations in the test suite maintain a consistent precision of 6 decimal places. The modifications cover simple geometries like points and lines, as well as more complex structures like polygons with holes and heterogeneous geometry collections.These changes align well with the PR objective of enhancing the testing framework for geometry classes by maintaining precise coordinate representations. The consistent approach across different test cases provides comprehensive coverage and improves the overall reliability of the geometry tests.
tests/geometries/geometry_test.py (9)
498-498: Precision parameter added toto_stringmethod callThe addition of the
precision=6parameter to theto_stringmethod call ensures that the coordinate values are formatted with 6 decimal places. This change improves the consistency and precision of the test assertions.
512-514: Precision parameter added toto_stringmethod call for LineStringThe
precision=6parameter has been added to theto_stringmethod call for the LineString test. This change is consistent with the previous update and ensures that coordinate values are formatted with 6 decimal places.
531-531: Precision parameter added toto_stringmethod call for LinearRingThe
precision=6parameter has been added to theto_stringmethod call for the LinearRing test. This change maintains consistency with the previous updates and ensures that coordinate values are formatted with 6 decimal places.
548-548: Precision parameter added toto_stringmethod call for PolygonThe
precision=6parameter has been added to theto_stringmethod call for the Polygon test. This change is consistent with the previous updates and ensures that coordinate values are formatted with 6 decimal places.
557-563: Updated MultiPoint test with precision parameterThe MultiPoint test has been updated to use the
precision=6parameter in theto_stringmethod call. The assertions have been modified to check for the formatted coordinate values with 6 decimal places. This change improves the consistency and precision of the test.
574-578: Updated MultiLineString test with precision parameterThe MultiLineString test has been updated to use the
precision=6parameter in theto_stringmethod call. The assertions have been modified to check for the formatted coordinate values with 6 decimal places. This change maintains consistency with the other geometry tests.
597-611: Updated MultiPolygon test with precision parameterThe MultiPolygon test has been updated to use the
precision=6parameter in theto_stringmethod call. The assertions have been modified to check for the formatted coordinate values with 6 decimal places. This change ensures consistency across all geometry types and improves the precision of the test.
633-641: Updated GeometryCollection test with precision parameterThe GeometryCollection test has been updated to use the
precision=6parameter in theto_stringmethod call. The assertions have been modified to check for the presence of various geometry types and a sample coordinate value with 6 decimal places. This change maintains consistency with the other geometry tests and ensures proper formatting of coordinate values.
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1-691: Summary of changes in geometry_test.pyThe changes in this file consistently update the
to_stringmethod calls across various geometry type tests to include aprecision=6parameter. This modification ensures that all coordinate values are formatted with 6 decimal places in the test assertions. These changes improve the consistency and precision of the tests without altering their fundamental logic or structure.The update affects tests for Point, LineString, LinearRing, Polygon, MultiPoint, MultiLineString, MultiPolygon, and GeometryCollection. This comprehensive approach ensures that all geometry types are tested with the same level of precision.
These changes are beneficial as they:
- Improve the consistency of coordinate value representations across all tests.
- Enhance the ability to catch potential issues with coordinate precision in the actual implementation.
- Maintain the existing test coverage while increasing the precision of the assertions.
fastkml/features.py (4)
188-188: Set defaultmax_linesto improveSnippetbehaviorThe addition of
default=2for themax_linesattribute in theSnippetregistration ensures a sensible default when none is provided. This aligns with KML specifications and enhances the usability of theSnippetclass.
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427-465: EnhancePlacemarkflexibility withkml_geometryparameterIntroducing the optional
kml_geometryparameter in thePlacemarkconstructor allows for more flexibility by accepting a KML geometry object directly. The check to prevent bothkml_geometryandgeometryfrom being specified simultaneously is appropriate and helps avoid ambiguity.
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474-482: Provide convenient access to geometry viageometrypropertyThe
geometryproperty simplifies access to the underlying geometry by returningself.kml_geometry.geometrywhen available. This enhancement improves the interface and usability of thePlacemarkclass.
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566-590: ExtendNetworkLinkfunctionality with new attributesAdding
refresh_visibilityandfly_to_viewattributes to theNetworkLinkclass aligns with the KML specification. These attributes provide control over the visibility refresh behavior and whether to fly to the view upon loading, enhancing the functionality of network links.fastkml/geometry.py (2)
96-96: Variablexml_attrsis properly definedThe declaration of
xml_attrsconsolidates XML attribute names, promoting consistent attribute handling across classes.
165-169: Previous suggestion remains valid: Move dimension check before formattingA prior review highlighted that checking
if len(coords[0]) not in (2, 3):should occur before formatting the coordinates. This change would prevent unnecessary string operations when dimensions are invalid, enhancing performance.tests/hypothesis/multi_geometry_test.py (1)
77-83: EnsureNonevalues are handled appropriatelyWhen constructing
MultiGeometryobjects, optional parameters likeextrude,tessellate, andaltitude_modemay beNone. Verify that theMultiGeometryclass and its methods correctly handleNonevalues for these parameters without raising exceptions or producing incorrect behavior.Please confirm that
Nonevalues for these parameters are acceptable or consider providing default values where appropriate.Also applies to: 228-234, 379-385, 530-536
| @@ -40,7 +40,7 @@ repos: | |||
| rev: v3.17.0 | |||
| hooks: | |||
| - id: pyupgrade | |||
| args: ["--py3-plus", "--py37-plus"] | |||
| args: ["--py3-plus", "--py38-plus"] | |||
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Inconsistent Python Version Specifications
The pyupgrade hook in .pre-commit-config.yaml has been updated to include --py38-plus, indicating a shift to Python 3.8+. However, no minimum Python version specification was found in other configuration files (e.g., pyproject.toml, CI workflows). Please ensure that all relevant configuration files specify Python 3.8+ to maintain consistency across the project.
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Upgrade of minimum supported Python version
The pyupgrade hook arguments have been updated from --py37-plus to --py38-plus, indicating an increase in the minimum supported Python version to 3.8. This change aligns with modern Python practices and likely takes advantage of features introduced in Python 3.8.
To ensure consistency across the project, let's verify the Python version specification in other configuration files:
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| new_c = eval(repr(coordinate), {}, eval_locals) # noqa: S307 | ||
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There was a problem hiding this comment.
Consider avoiding the use of eval for security reasons
Using eval can introduce security risks, even in test code. Although you've provided a controlled environment with eval_locals and suppressed the security warning with # noqa: S307, it's generally safer to avoid eval. Consider alternative approaches, such as using a custom deserialization method or testing the attributes directly.
tests/hypothesis/geometry_test.py
Outdated
| new_p = eval(repr(point), {}, eval_locals) # noqa: S307 | ||
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There was a problem hiding this comment.
Consider avoiding the use of eval for security reasons
The use of eval here poses potential security concerns. Even in tests, it's advisable to find safer alternatives to reconstruct objects. You might explore using custom serialization/deserialization methods or comparing the object's attributes directly to avoid using eval.
tests/hypothesis/geometry_test.py
Outdated
| new_l = eval(repr(line), {}, eval_locals) # noqa: S307 | ||
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There was a problem hiding this comment.
Consider avoiding the use of eval for security reasons
Again, the use of eval can be risky. It's better to use safer methods to recreate objects within your tests. Consider refactoring this test to eliminate the need for eval.
tests/hypothesis/geometry_test.py
Outdated
| new_p = eval(repr(polygon), {}, eval_locals) # noqa: S307 | ||
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There was a problem hiding this comment.
Consider avoiding the use of eval for security reasons
Using eval may lead to security vulnerabilities. Evaluate alternative strategies for object reconstruction in your tests to enhance security and maintainability.
| *self._get_splat(), | ||
| ) | ||
| ) | ||
| return super().__eq__(other) |
There was a problem hiding this comment.
Increase test coverage for LineString.__eq__ method
Line 660 is not covered by tests. Please add a unit test where other is not an instance of LineString to cover this code path.
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[warning] 660-660: fastkml/geometry.py#L660
Added line #L660 was not covered by tests
| *self._get_splat(), | ||
| ) | ||
| ) | ||
| return super().__eq__(other) |
There was a problem hiding this comment.
Increase test coverage for Polygon.__eq__ method
Line 1218 lacks test coverage. Including a test case where other is not a Polygon instance will improve coverage and validate the method's behavior.
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[warning] 1218-1218: fastkml/geometry.py#L1218
Added line #L1218 was not covered by tests
| new_mg = eval(repr(multi_geometry), {}, eval_locals) # noqa: S307 | ||
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There was a problem hiding this comment.
Avoid using eval for safer and more maintainable code
The use of eval with repr can introduce security risks and is generally discouraged, even in test code. Relying on eval for object reconstruction can lead to code execution vulnerabilities if the evaluated strings are not strictly controlled. Consider using alternative methods such as copy.deepcopy or implementing explicit serialization/deserialization methods to recreate objects without executing arbitrary code.
Apply this diff to replace eval with a safer alternative:
+import copy
...
- new_mg = eval(repr(multi_geometry), {}, eval_locals) # noqa: S307
+ new_mg = copy.deepcopy(multi_geometry)This change uses copy.deepcopy to create a deep copy of the multi_geometry object, eliminating the need for eval and improving code safety.
Also applies to: 236-237, 387-388, 538-539
| id=id, | ||
| target_id=target_id, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| geometry=geometry, | ||
| ) | ||
|
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||
| new_mg = fastkml.geometry.MultiGeometry.class_from_string( | ||
| multi_geometry.to_string(), | ||
| ) | ||
|
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||
| if geometry: | ||
| assert isinstance( | ||
| new_mg.geometry, | ||
| (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint), | ||
| ) | ||
| else: | ||
| assert not new_mg | ||
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| @given( | ||
| id=st.one_of(st.none(), st.text(alphabet=ID_TEXT)), | ||
| target_id=st.one_of(st.none(), st.text(ID_TEXT)), | ||
| extrude=st.one_of(st.none(), st.booleans()), | ||
| tessellate=st.one_of(st.none(), st.booleans()), | ||
| altitude_mode=st.one_of(st.none(), st.sampled_from(AltitudeMode)), | ||
| geometry=st.one_of( | ||
| st.none(), | ||
| geometry_collections(srs=epsg4326), | ||
| ), | ||
| ) | ||
| def test_geometrycollection_str_roundtrip_terse( | ||
| id: typing.Optional[str], | ||
| target_id: typing.Optional[str], | ||
| extrude: typing.Optional[bool], | ||
| tessellate: typing.Optional[bool], | ||
| altitude_mode: typing.Optional[AltitudeMode], | ||
| geometry: typing.Optional[GeometryCollection], | ||
| ) -> None: | ||
| multi_geometry = fastkml.geometry.MultiGeometry( | ||
| id=id, | ||
| target_id=target_id, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| geometry=geometry, | ||
| ) | ||
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| new_mg = fastkml.geometry.MultiGeometry.class_from_string( | ||
| multi_geometry.to_string(verbosity=Verbosity.terse), | ||
| ) | ||
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||
| if geometry: | ||
| assert isinstance( | ||
| new_mg.geometry, | ||
| (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint), | ||
| ) | ||
| else: | ||
| assert not new_mg | ||
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| @given( | ||
| id=st.one_of(st.none(), st.text(alphabet=ID_TEXT)), | ||
| target_id=st.one_of(st.none(), st.text(ID_TEXT)), | ||
| extrude=st.one_of(st.none(), st.booleans()), | ||
| tessellate=st.one_of(st.none(), st.booleans()), | ||
| altitude_mode=st.one_of(st.none(), st.sampled_from(AltitudeMode)), | ||
| geometry=st.one_of( | ||
| st.none(), | ||
| geometry_collections(srs=epsg4326), | ||
| ), | ||
| ) | ||
| def test_geometrycollection_str_roundtrip_verbose( | ||
| id: typing.Optional[str], | ||
| target_id: typing.Optional[str], | ||
| extrude: typing.Optional[bool], | ||
| tessellate: typing.Optional[bool], | ||
| altitude_mode: typing.Optional[AltitudeMode], | ||
| geometry: typing.Optional[GeometryCollection], | ||
| ) -> None: | ||
| multi_geometry = fastkml.geometry.MultiGeometry( | ||
| id=id, | ||
| target_id=target_id, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| geometry=geometry, | ||
| ) | ||
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| new_mg = fastkml.geometry.MultiGeometry.class_from_string( | ||
| multi_geometry.to_string(verbosity=Verbosity.verbose), | ||
| ) | ||
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| if geometry: | ||
| assert isinstance( | ||
| new_mg.geometry, | ||
| (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint), | ||
| ) | ||
| else: |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Refactor tests to reduce code duplication
The test functions for different geometry types have a highly similar structure, leading to code duplication. Consider refactoring the tests to use parameterization or helper functions to improve maintainability and readability.
Example refactoring using a helper function:
def geometry_roundtrip_test(
geometry_type,
geometry_strategy,
verbosity=Verbosity.verbose,
):
@given(
id=st.one_of(st.none(), st.text(alphabet=ID_TEXT)),
target_id=st.one_of(st.none(), st.text(ID_TEXT)),
extrude=st.one_of(st.none(), st.booleans()),
tessellate=st.one_of(st.none(), st.booleans()),
altitude_mode=st.one_of(st.none(), st.sampled_from(AltitudeMode)),
geometry=st.one_of(st.none(), geometry_strategy),
)
def test(
id: typing.Optional[str],
target_id: typing.Optional[str],
extrude: typing.Optional[bool],
tessellate: typing.Optional[bool],
altitude_mode: typing.Optional[AltitudeMode],
geometry,
) -> None:
multi_geometry = fastkml.geometry.MultiGeometry(
id=id,
target_id=target_id,
extrude=extrude,
tessellate=tessellate,
altitude_mode=altitude_mode,
geometry=geometry,
)
new_mg = fastkml.geometry.MultiGeometry.class_from_string(
multi_geometry.to_string(verbosity=verbosity),
)
assert multi_geometry.to_string(verbosity=verbosity) == new_mg.to_string(
verbosity=verbosity,
)
assert multi_geometry == new_mg
if geometry:
assert isinstance(new_mg.geometry, geometry_type)
return test
# Generate tests for each geometry type
test_multipoint_roundtrip = geometry_roundtrip_test(MultiPoint, multi_points(srs=epsg4326))
test_multilinestring_roundtrip = geometry_roundtrip_test(MultiLineString, multi_line_strings(srs=epsg4326))
test_multipolygon_roundtrip = geometry_roundtrip_test(MultiPolygon, multi_polygons(srs=epsg4326))
test_geometrycollection_roundtrip = geometry_roundtrip_test(GeometryCollection, geometry_collections(srs=epsg4326))This approach reduces repetition and centralizes the test logic.
| ID_TEXT = string.ascii_letters + string.digits + string.punctuation | ||
|
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There was a problem hiding this comment.
Restrict ID_TEXT to valid XML characters
The ID_TEXT variable includes string.punctuation, which may introduce characters that are invalid in XML IDs or cause parsing issues. It's recommended to limit the characters to those that are safe for XML identifiers, such as letters, digits, hyphens, and underscores.
Apply this diff to adjust ID_TEXT:
-ID_TEXT = string.ascii_letters + string.digits + string.punctuation
+ID_TEXT = string.ascii_letters + string.digits + "_-"This change ensures that generated IDs are compatible with XML specifications.
📝 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.
| ID_TEXT = string.ascii_letters + string.digits + string.punctuation | |
| ID_TEXT = string.ascii_letters + string.digits + "_-" |
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Actionable comments posted: 17
🧹 Outside diff range and nitpick comments (12)
tests/conftest.py (1)
1-6: Consider updating the docstring to include all profiles.The docstring currently only mentions the 'exhaustive' profile. For completeness, consider adding information about the 'coverage' and 'ci' profiles as well.
Here's a suggested update:
""" Configure the tests. Register Hypothesis profiles for different testing scenarios: 1. 'exhaustive': Runs 10,000 examples. Run with `pytest --hypothesis-profile=exhaustive` 2. 'coverage': Runs 10 examples for quick coverage checks. 3. 'ci': Used for continuous integration testing. """tests/geometries/coordinates_test.py (1)
Line range hint
32-38: LGTM! Consider enhancing test robustness.The update to include the
precisionparameter in theto_stringmethod call is a good addition. It aligns with the reported changes to support precision in KML output and maintains backwards compatibility.To further improve the test's robustness, consider adding additional test cases with different precision values. This would help ensure that the
to_stringmethod handles various precision levels correctly.Here's an example of how you could add a test case with a different precision:
def test_coordinates_with_different_precision(self) -> None: coords = ((0, 0), (0, 1), (1, 1), (1, 0), (0, 0)) coordinates = Coordinates(coords=coords) assert coordinates.to_string(precision=3).strip() == ( '<kml:coordinates xmlns:kml="http://www.opengis.net/kml/2.2">' "0.000,0.000 0.000,1.000 1.000,1.000 " "1.000,0.000 0.000,0.000" "</kml:coordinates>" )This additional test case would verify that the
to_stringmethod correctly handles a different precision value.tests/geometries/linearring_test.py (1)
48-49: LGTM! Consider adding a test case with a different precision value.The addition of the
precisionparameter to theto_stringmethod call is a good improvement. It aligns with the PR objectives of enhancing precision handling in geometry classes and ensures that the output formatting is consistent and verifiable.To further improve test coverage, consider adding another test case with a different precision value (e.g., 3 or 9) to ensure the method handles various precision levels correctly. This could be done by adding a new test method or parameterizing the existing one.
Example:
@pytest.mark.parametrize("precision, expected_output", [ (6, "coordinates>0.000000,0.000000 0.000000,1.000000 1.000000,1.000000 1.000000,0.000000 0.000000,0.000000</"), (3, "coordinates>0.000,0.000 0.000,1.000 1.000,1.000 1.000,0.000 0.000,0.000</"), ]) def test_to_string_precision(self, precision, expected_output): lr = geo.LinearRing(((0, 0), (0, 1), (1, 1), (1, 0), (0, 0))) linear_ring = LinearRing(geometry=lr) assert expected_output in linear_ring.to_string(precision=precision).github/workflows/run-all-tests.yml (2)
46-46: Approve the increased coverage threshold, but consider a gradual approach.The increase in coverage threshold from 88% to 95% is a commendable step towards improving code quality. However, such a significant jump might be challenging to meet immediately and could potentially break the CI pipeline.
Consider implementing a gradual increase in the coverage threshold. For example, you could increase it to 90% first, then 92%, and so on, allowing the team to incrementally improve test coverage without risking CI failures.
Line range hint
133-163: Approve the improved build and publish process with a minor suggestion.The changes to the
publishjob significantly improve the build and release process:
- Using
pypa/buildfor package building is the recommended approach.- Separate steps for Test PyPI and PyPI with clear conditions enhance the release workflow.
- The use of
pypa/gh-action-pypi-publish@release/v1is up-to-date and secure.These improvements make the release process more robust and maintainable.
For improved clarity, consider adding comments before each publish step to explain the conditions. For example:
# Publish to Test PyPI for all tags - name: Publish distribution 📦 to Test PyPI for tags if: startsWith(github.ref, 'refs/tags') uses: pypa/gh-action-pypi-publish@release/v1 with: repository_url: https://test.pypi.org/legacy/ # Publish to PyPI for pushes to the main branch - name: Publish distribution 📦 to PyPI for push to main if: github.event_name == 'push' && github.ref == 'refs/heads/main' uses: pypa/gh-action-pypi-publish@release/v1This will make it easier for other contributors to understand the release process at a glance.
tests/geometries/linestring_test.py (1)
50-50: LGTM! Consider adding tests for different precision levels.The addition of the
precisionparameter to theto_stringmethod call is a good improvement. It makes the test more explicit and aligns with the enhanced precision handling mentioned in the PR objectives.To further improve test coverage, consider adding additional test cases that verify the
to_stringmethod's output with different precision levels. For example:@pytest.mark.parametrize("precision, expected", [ (3, "coordinates>1.000,2.000 2.000,0.000</"), (6, "coordinates>1.000000,2.000000 2.000000,0.000000</"), (9, "coordinates>1.000000000,2.000000000 2.000000000,0.000000000</"), ]) def test_to_string_precision(self, precision, expected): ls = geo.LineString(((1, 2), (2, 0))) line_string = LineString(geometry=ls) assert expected in line_string.to_string(precision=precision)This would ensure that the
precisionparameter is working correctly for various input values.tests/geometries/point_test.py (3)
49-49: LGTM! Consider adding a test for different precision values.The addition of the
precisionparameter to theto_stringmethod call is a good improvement. It explicitly sets the precision to 6 decimal places, which aligns with the PR objectives to enhance precision handling in geometry classes.To further improve test coverage, consider adding additional test cases with different precision values to ensure the
to_stringmethod behaves correctly with various precision settings.
58-60: LGTM! Consider consistent formatting with the 2D test.The addition of the
precisionparameter to theto_stringmethod call is a good improvement, consistent with the changes in the 2D test. The multi-line formatting enhances readability for this longer assertion.For consistency, consider using the same single-line format as in the 2D test, unless there's a specific reason for the multi-line format here. This would make the tests more uniform:
assert "coordinates>1.000000,2.000000,3.000000</" in point.to_string(precision=6)
Line range hint
1-60: Overall LGTM! Consider expanding precision testing.The changes to
test_to_string_2dandtest_to_string_3dmethods improve the specificity of the tests by explicitly setting the precision parameter. This aligns well with the PR objectives to enhance precision handling in geometry classes.To further improve the robustness of these tests:
- Consider adding test cases with different precision values (e.g., 0, 3, 10) to ensure the
to_stringmethod behaves correctly across various settings.- You might want to add property-based tests using Hypothesis to generate a wide range of input values and precision settings, ensuring the
to_stringmethod works correctly for all possible inputs.These additions would align with the PR's goal of introducing property-based tests and improving test coverage.
fastkml/features.py (2)
188-188: LGTM! Consider documenting the default value.The addition of a default value (2) for the
max_linesattribute in the Snippet class's registry registration is a good practice. It provides a sensible fallback when the attribute is not explicitly set.Consider adding a comment explaining the rationale behind choosing 2 as the default value for
max_lines. This would help future maintainers understand the decision.
Line range hint
1037-1041: LGTM! Well-implemented NetworkLink enhancements.The additions to the NetworkLink class are well-implemented and align with the KML specification:
- New attributes
refresh_visibility,fly_to_view, andlinkare correctly added and initialized.- The
__repr__method is updated to include these new attributes.- The attributes are properly registered in the registry with appropriate default values.
- The
__bool__method is implemented to check if thelinkattribute is set.These changes enhance the functionality and usability of the NetworkLink class.
Consider adding type hints for the new attributes in the class definition for consistency with the rest of the codebase:
refresh_visibility: Optional[bool] fly_to_view: Optional[bool] link: Optional[Link]Also applies to: 1099-1103, 1166-1172, 1196-1218
tests/hypothesis/geometry_test.py (1)
80-80: Ensure the use ofevalis safe and justified.While using
eval(repr(obj))can be helpful in tests to check object round-tripping, it is generally safer to avoidevaldue to potential security risks. Since this is test code and the inputs are controlled, the risk is mitigated. However, consider ifast.literal_evalcould be used as a safer alternative, or ensure that all inputs are trusted.
📜 Review details
Configuration used: .coderabbit.yaml
Review profile: CHILL
📒 Files selected for processing (16)
- .github/workflows/run-all-tests.yml (2 hunks)
- .pre-commit-config.yaml (2 hunks)
- fastkml/features.py (1 hunks)
- fastkml/geometry.py (5 hunks)
- pyproject.toml (2 hunks)
- tests/conftest.py (1 hunks)
- tests/geometries/boundaries_test.py (2 hunks)
- tests/geometries/coordinates_test.py (1 hunks)
- tests/geometries/geometry_test.py (8 hunks)
- tests/geometries/linearring_test.py (1 hunks)
- tests/geometries/linestring_test.py (1 hunks)
- tests/geometries/multigeometry_test.py (8 hunks)
- tests/geometries/point_test.py (2 hunks)
- tests/geometries/polygon_test.py (2 hunks)
- tests/hypothesis/geometry_test.py (1 hunks)
- tests/hypothesis/multi_geometry_test.py (1 hunks)
🧰 Additional context used
🪛 GitHub Check: codecov/patch
fastkml/geometry.py
[warning] 505-505: fastkml/geometry.py#L505
Added line #L505 was not covered by tests
[warning] 660-660: fastkml/geometry.py#L660
Added line #L660 was not covered by tests
[warning] 1218-1218: fastkml/geometry.py#L1218
Added line #L1218 was not covered by tests
🔇 Additional comments (45)
tests/conftest.py (2)
11-15: LGTM: "exhaustive" profile configuration is well-defined.The "exhaustive" profile is correctly configured with 10,000 examples and suppresses the "too_slow" health check, which is appropriate for thorough testing scenarios.
1-21: Overall assessment: Good configuration of Hypothesis profiles with room for minor improvements.The introduction of multiple Hypothesis profiles for different testing scenarios is a great addition to the project. It allows for flexible testing strategies depending on the context (exhaustive testing, coverage checks, or CI runs). The configurations are generally well-defined, with appropriate suppression of the "too_slow" health check across all profiles.
Consider the following improvements:
- Update the file docstring to include information about all profiles.
- Increase the max_examples for the "coverage" profile for better test coverage.
- Explicitly set max_examples for the "ci" profile to ensure consistent behavior in CI environments.
These changes will enhance the clarity and effectiveness of your Hypothesis test configurations.
.pre-commit-config.yaml (2)
80-80: Approved: Added Hypothesis to mypy dependenciesAdding Hypothesis to the mypy dependencies is a good practice. It ensures that type hints in Hypothesis-related code are properly checked, which aligns with the PR objective of introducing property-based tests using the Hypothesis library.
To ensure that Hypothesis is being used effectively in the project, please run the following script to check for its usage:
#!/bin/bash # Description: Check for Hypothesis usage in the project # Test: Search for Hypothesis imports echo "Searching for Hypothesis imports:" rg -i 'from hypothesis import|import hypothesis' # Test: Search for Hypothesis decorators echo "Searching for Hypothesis decorators:" rg -i '@given|@example|@settings' # Test: Check test files for Hypothesis usage echo "Checking test files for Hypothesis usage:" rg -i 'hypothesis' $(fd -e py -e pytest --type f -g '*test*.py')
43-43: Approved: Python version upgrade for pyupgrade hookThe change from
--py37-plusto--py38-plusaligns with the PR objective to support Python versions 3.8 and above. This is a good practice to keep the project up-to-date with newer Python versions.To ensure consistency across the project, please verify that all other configuration files and documentation reflect this change in minimum Python version. Run the following script to check for any remaining references to Python 3.7:
tests/geometries/boundaries_test.py (3)
Line range hint
38-43: LGTM: Precision parameter added toto_stringmethodThe addition of the
precision=6parameter to theto_stringmethod call aligns well with the PR objectives of enhancing precision handling in geometry classes. The expected output string has been correctly updated to reflect the new precision, ensuring that the test accurately verifies the behavior of theto_stringmethod with the specified precision.
Line range hint
69-74: LGTM: Consistent precision handling for inner boundariesThe addition of the
precision=6parameter to theto_stringmethod call forInnerBoundaryIsis consistent with the change made forOuterBoundaryIs. This ensures uniform precision handling across different boundary types, which is a good practice. The expected output string has been correctly updated to reflect the new precision, maintaining the integrity of the test.
Line range hint
38-43: Summary: Improved precision handling in boundary testsThe changes in this file consistently add precision handling to both
OuterBoundaryIsandInnerBoundaryIstests. This enhancement aligns well with the PR objectives of improving precision in geometry classes. The tests now verify that theto_stringmethod correctly applies the specified precision (6 decimal places) when generating KML output. These changes contribute to more robust and accurate testing of the geometry classes' string representation.Also applies to: 69-74
.github/workflows/run-all-tests.yml (2)
130-132: Excellent security improvements for the publish job.The addition of the
environment: releaseand thepermissionssection withid-token: writeare excellent improvements:
- The environment specification allows for better management of deployment contexts and secrets.
- The
id-token: writepermission enables OIDC-based authentication with package registries, which is more secure than using long-lived API tokens.These changes align with modern CI/CD best practices and significantly enhance the security of the publishing process.
Line range hint
1-163: Overall, excellent improvements to the CI/CD workflow.The changes made to this workflow file significantly enhance the CI/CD process:
- Increased test coverage requirements promote better code quality.
- Improved security measures in the publish job align with modern best practices.
- The updated build and release process is more robust and maintainable.
These improvements will contribute to a more reliable and secure development and release cycle for the project.
pyproject.toml (3)
80-80: LGTM: Addition of Hypothesis for property-based testingThe addition of "hypothesis" to the test dependencies is consistent with the PR objectives and supports the implementation of property-based tests. This is a positive change that will enhance the testing capabilities of the project.
121-121: LGTM: Appropriate exclusion of Protocol classes from coverage reportingThe addition of the exclusion pattern
"class \w+\(Protocol\):"to the coverage report configuration is a good practice. This pattern excludes Protocol classes, which are typically used for type hinting and don't contain implementation code. By excluding these classes, the coverage report will provide a more accurate representation of the actual code coverage for implementation logic.
Line range hint
80-121: Summary: Positive changes to enhance testing and coverage reportingThe changes made to
pyproject.tomlare well-aligned with the PR objectives. The addition of Hypothesis for property-based testing and the exclusion of Protocol classes from coverage reporting are both positive improvements that will enhance the project's testing capabilities and provide more accurate coverage metrics.tests/geometries/polygon_test.py (3)
44-44: Precision parameter addition enhances test accuracy.The addition of the
precision=6parameter topolygon.to_string()is a positive change. It ensures consistent and precise coordinate representation in the test assertions, reducing the likelihood of false negatives due to floating-point precision issues.
61-65: Consistent precision application across exterior and interior assertions.The addition of
precision=6to both exterior and interior coordinate assertions inpolygon.to_string()calls is commendable. This ensures consistent precision across all parts of the polygon, maintaining the integrity of the test case.
Line range hint
1-265: Verify precision parameter usage in other test methods.While the changes made to
test_exterior_onlyandtest_exterior_interiormethods are appropriate, it's worth reviewing other test methods in this file to ensure consistent usage of theprecisionparameter where applicable. This would maintain uniformity across all polygon-related tests and potentially uncover any edge cases related to coordinate precision.To assist in this verification, you can run the following script:
This script will help identify potential locations where the
precisionparameter might be beneficial to add.tests/geometries/multigeometry_test.py (9)
35-35: LGTM: Precision parameter added correctlyThe addition of the
precision=6parameter tomg.to_string()is consistent with the PR's objective of enhancing precision handling in geometry classes. This change improves the test's specificity and ensures consistent output formatting.
45-46: LGTM: Consistent precision handling for multiple pointsThe addition of
precision=6to bothmg.to_string()calls ensures consistent precision handling for multiple points. This change aligns with the PR's objective and maintains consistency across assertions.
71-73: LGTM: Precision added with improved readabilityThe addition of
precision=6tomg.to_string()is consistent with previous changes. The multi-line format improves readability for this longer assertion, which is a good practice for maintaining clean and understandable test code.
83-88: LGTM: Consistent precision and formatting for multiple linestringsThe addition of
precision=6to bothmg.to_string()calls maintains consistency in precision handling for multiple linestrings. The multi-line format is consistently applied to both assertions, improving readability and maintaining a clean coding style.
118-118: LGTM: Precision parameter integrated correctlyThe addition of
precision=6tomg.to_string()within the existing multi-line assertion is consistent with previous changes and correctly integrated. This maintains the established pattern of precision handling across different geometry types.
139-143: LGTM: Comprehensive precision handling for polygons with holesThe addition of
precision=6to both outer and inner boundary assertions inmg.to_string()calls ensures comprehensive precision handling for polygons with holes. This change maintains consistency with previous modifications and provides thorough testing of complex geometry structures.
166-174: LGTM: Thorough precision handling for multiple polygonsThe addition of
precision=6to all threemg.to_string()calls ensures comprehensive precision handling for multiple polygons, including those with inner boundaries. This change maintains consistency across different polygon configurations and demonstrates a thorough testing approach for complex multi-polygon structures.
221-221: LGTM: Consistent precision handling extended to geometry collectionsThe addition of
precision=6tomg.to_string()for a geometry collection containing a point ensures that precision handling is consistently applied across all geometry types, including collections. This change maintains the established pattern and completes the comprehensive coverage of precision testing.
Line range hint
1-424: Summary: Comprehensive implementation of precision handling across geometry testsThe changes in this file consistently implement precision handling for all geometry types and collections tested. By adding the
precision=6parameter tomg.to_string()calls across various test methods, the modifications ensure:
- Consistent precision handling for points, linestrings, polygons, and geometry collections.
- Improved test specificity and output consistency.
- Comprehensive coverage of simple and complex geometry structures, including multi-geometries and geometries with inner boundaries.
These changes effectively fulfill the PR objective of enhancing precision handling in geometry classes and provide a robust set of tests to validate this functionality.
tests/geometries/geometry_test.py (5)
498-498: LGTM: Improved precision testing for Point geometryThe addition of the
precision=6parameter to theto_stringmethod call enhances the test by verifying that the coordinates are formatted with 6 decimal places. This is a good improvement to ensure the precision handling is working correctly.
512-514: LGTM: Improved precision testing and readability for LineString geometryThe changes enhance the test in two ways:
- Adding the
precision=6parameter verifies that coordinates are formatted with 6 decimal places.- Splitting the method call across multiple lines improves readability, adhering to PEP 8 guidelines for long method calls.
These improvements contribute to better testing and code maintainability.
531-531: LGTM: Consistent precision testing for LinearRing geometryThe addition of
precision=6to theto_stringmethod call maintains consistency with the previous changes. This improvement ensures that the coordinates for LinearRing geometry are also formatted with 6 decimal places, enhancing the overall test coverage for precision handling.
548-548: LGTM: Consistent precision testing for Polygon geometryThe addition of
precision=6to theto_stringmethod call maintains the consistent approach to precision testing. This change ensures that the coordinates for Polygon geometry are formatted with 6 decimal places, further improving the test coverage for precision handling across different geometry types.
557-563: LGTM: Comprehensive precision testing for multi-geometry typesThese changes significantly enhance the tests for multi-geometry types (MultiPoint, MultiLineString, and MultiPolygon):
- Consistent precision: The
precision=6parameter is now applied to allto_stringmethod calls, ensuring uniform coordinate formatting across all geometry types.- Detailed assertions: The tests now check for specific coordinate strings, providing more thorough verification of the output.
- Improved readability: Assertions are broken down into multiple lines, making the tests easier to read and maintain.
These improvements contribute to more robust and comprehensive testing of the library's handling of various geometry types and their string representations.
Also applies to: 574-578, 597-611
fastkml/features.py (1)
Line range hint
559-565: LGTM! Good improvements to the Placemark class.The changes to the Placemark class are well-implemented:
- The validation check in the
__init__method ensures that only one ofkml_geometryorgeometryis specified, preventing inconsistent states.- The registration of the
kml_geometryattribute in the registry allows for proper serialization in KML format.These changes improve the robustness and functionality of the Placemark class.
Also applies to: 1020-1034
tests/hypothesis/geometry_test.py (14)
49-66: Comprehensive test for coordinate string round-trip conversion.The
test_coordinates_str_roundtripfunction effectively tests the serialization and deserialization ofCoordinatesobjects, ensuring that precision is maintained across conversions.
68-83: Accurate testing of coordinate representation round-trip usingreprandeval.The
test_coordinates_repr_roundtripfunction successfully verifies that theCoordinatesobject'sreprcan be evaluated back to an equivalent object, ensuring consistency in object representation.
85-113: Effective property-based tests forPointobject round-tripping withrepr.The
test_point_repr_roundtripfunction thoroughly tests thePointclass by generating diverse input combinations, verifying that the object can be reconstructed accurately from itsrepr.
115-144: Robust testing ofPointstring serialization and deserialization.The
test_point_str_roundtripfunction ensures that thePointobject's string representation can be parsed back to an equivalent object, maintaining data integrity.
146-183: Validation ofPointobject serialization with terse verbosity.The
test_point_str_roundtrip_tersefunction correctly tests the round-trip serialization ofPointobjects usingVerbosity.terse, ensuring optional attributes are handled appropriately.
185-220: Verification ofPointobject serialization with verbose verbosity.The
test_point_str_roundtrip_verbosefunction effectively tests the serialization ofPointobjects usingVerbosity.verbose, confirming that all attributes are correctly serialized and deserialized.
223-253: Proper testing ofLineStringobject round-tripping withrepr.The
test_linestring_repr_roundtripfunction accurately tests theLineStringclass, ensuring objects can be reconstructed from theirreprrepresentation without loss of data.
255-287: Successful round-trip testing ofLineStringserialization and deserialization.The
test_linestring_str_roundtripfunction verifies thatLineStringobjects maintain data integrity when converted to and from string representations.
289-324: TestingLineStringserialization with terse verbosity is well-implemented.The
test_linestring_str_roundtrip_tersefunction ensures thatLineStringobjects are correctly handled when usingVerbosity.terse, focusing on essential attributes.
326-361: Validation ofLineStringserialization with verbose verbosity.The
test_linestring_str_roundtrip_verbosefunction confirms that all attributes ofLineStringobjects are properly serialized and deserialized usingVerbosity.verbose.
363-394: Comprehensive testing ofPolygonobject round-tripping withrepr.The
test_polygon_repr_roundtripfunction effectively tests thePolygonclass, ensuring accurate reconstruction from itsreprrepresentation.
396-428: Reliable round-trip testing ofPolygonserialization and deserialization.The
test_polygon_str_roundtripfunction ensures thatPolygonobjects maintain consistency when converted to and from string representations.
430-465: Correct testing ofPolygonserialization with terse verbosity.The
test_polygon_str_roundtrip_tersefunction validates thatPolygonobjects are properly serialized usingVerbosity.terse, handling optional attributes as expected.
467-501: Verification ofPolygonserialization with verbose verbosity.The
test_polygon_str_roundtrip_verbosefunction accurately tests the serialization and deserialization ofPolygonobjects usingVerbosity.verbose, ensuring all attributes are correctly processed.fastkml/geometry.py (1)
96-96: Definition ofxml_attrsis AppropriateThe introduction of
xml_attrsset with common XML attributes ("ns","name_spaces","id","target_id") is appropriate for reuse across equality methods and enhances code maintainability.
| settings.register_profile( | ||
| "coverage", | ||
| max_examples=10, | ||
| suppress_health_check=[HealthCheck.too_slow], | ||
| ) |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Consider increasing max_examples for the "coverage" profile.
While the current setting of 10 examples is good for quick checks, it might not provide comprehensive coverage for more complex scenarios. Consider increasing this value to strike a balance between speed and thorough coverage.
You might want to try a value between 50 and 100, for example:
settings.register_profile(
"coverage",
max_examples=50,
suppress_health_check=[HealthCheck.too_slow],
)| max_examples=10, | ||
| suppress_health_check=[HealthCheck.too_slow], | ||
| ) | ||
| settings.register_profile("ci", suppress_health_check=[HealthCheck.too_slow]) |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Consider explicitly setting max_examples for the "ci" profile.
The "ci" profile currently doesn't specify a max_examples value, which means it will use Hypothesis's default. For consistency with other profiles and to ensure predictable behavior in CI environments, consider explicitly setting this value.
You might want to add a max_examples parameter:
settings.register_profile(
"ci",
max_examples=200, # Adjust this value based on your CI requirements
suppress_health_check=[HealthCheck.too_slow],
)| "fastkml": fastkml, | ||
| } | ||
|
|
||
| ID_TEXT = string.ascii_letters + string.digits + string.punctuation |
There was a problem hiding this comment.
Consider refining ID_TEXT to exclude problematic characters.
The ID_TEXT variable includes string.punctuation, which contains characters like <, >, &, and quotes that may cause issues in IDs, especially when used in XML or KML contexts. Additionally, including certain punctuation might lead to parsing or encoding problems. Consider restricting the character set to string.ascii_letters and string.digits, or explicitly exclude characters that could interfere with markup languages.
tests/hypothesis/geometry_test.py
Outdated
| id=st.one_of(st.none(), st.text(alphabet=string.printable)), | ||
| target_id=st.one_of(st.none(), st.text(alphabet=string.printable)), |
There was a problem hiding this comment.
Avoid using string.printable for IDs to exclude whitespace and control characters.
Using string.printable as the alphabet in st.text() includes whitespace and non-printable control characters in the generated IDs, which may not be suitable and could cause issues when processing IDs. Consider using a more restricted character set, such as string.ascii_letters + string.digits, to generate IDs without whitespace and control characters.
| tessellate: typing.Optional[bool], | ||
| altitude_mode: typing.Optional[AltitudeMode], | ||
| geometry: typing.Optional[MultiPoint], | ||
| ) -> None: | ||
| multi_geometry = fastkml.geometry.MultiGeometry( | ||
| id=id, | ||
| target_id=target_id, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| geometry=geometry, | ||
| ) | ||
|
|
||
| new_mg = fastkml.geometry.MultiGeometry.class_from_string( | ||
| multi_geometry.to_string(), | ||
| ) | ||
|
|
||
| assert multi_geometry.to_string() == new_mg.to_string() | ||
| assert multi_geometry == new_mg | ||
| if geometry: | ||
| assert isinstance(new_mg.geometry, MultiPoint) | ||
|
|
||
|
|
||
| @given( | ||
| id=st.one_of(st.none(), st.text(alphabet=ID_TEXT)), | ||
| target_id=st.one_of(st.none(), st.text(ID_TEXT)), | ||
| extrude=st.one_of(st.none(), st.booleans()), | ||
| tessellate=st.one_of(st.none(), st.booleans()), | ||
| altitude_mode=st.one_of(st.none(), st.sampled_from(AltitudeMode)), | ||
| geometry=st.one_of( | ||
| st.none(), | ||
| multi_points(srs=epsg4326), | ||
| ), | ||
| ) | ||
| def test_multipoint_str_roundtrip_terse( | ||
| id: typing.Optional[str], | ||
| target_id: typing.Optional[str], | ||
| extrude: typing.Optional[bool], | ||
| tessellate: typing.Optional[bool], | ||
| altitude_mode: typing.Optional[AltitudeMode], | ||
| geometry: typing.Optional[MultiPoint], | ||
| ) -> None: | ||
| multi_geometry = fastkml.geometry.MultiGeometry( | ||
| id=id, | ||
| target_id=target_id, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| geometry=geometry, | ||
| ) | ||
|
|
||
| new_mg = fastkml.geometry.MultiGeometry.class_from_string( | ||
| multi_geometry.to_string(verbosity=Verbosity.terse), | ||
| ) | ||
|
|
||
| assert multi_geometry.to_string(verbosity=Verbosity.verbose) == new_mg.to_string( | ||
| verbosity=Verbosity.verbose, | ||
| ) | ||
| if geometry: | ||
| assert isinstance(new_mg.geometry, MultiPoint) | ||
|
|
||
|
|
||
| @given( | ||
| id=st.one_of(st.none(), st.text(alphabet=ID_TEXT)), | ||
| target_id=st.one_of(st.none(), st.text(ID_TEXT)), | ||
| extrude=st.one_of(st.none(), st.booleans()), | ||
| tessellate=st.one_of(st.none(), st.booleans()), | ||
| altitude_mode=st.one_of(st.none(), st.sampled_from(AltitudeMode)), | ||
| geometry=st.one_of( | ||
| st.none(), | ||
| multi_points(srs=epsg4326), | ||
| ), | ||
| ) | ||
| def test_multipoint_str_roundtrip_verbose( | ||
| id: typing.Optional[str], | ||
| target_id: typing.Optional[str], | ||
| extrude: typing.Optional[bool], | ||
| tessellate: typing.Optional[bool], | ||
| altitude_mode: typing.Optional[AltitudeMode], | ||
| geometry: typing.Optional[MultiPoint], | ||
| ) -> None: | ||
| multi_geometry = fastkml.geometry.MultiGeometry( | ||
| id=id, | ||
| target_id=target_id, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| geometry=geometry, | ||
| ) | ||
|
|
||
| new_mg = fastkml.geometry.MultiGeometry.class_from_string( | ||
| multi_geometry.to_string(verbosity=Verbosity.verbose), | ||
| ) | ||
|
|
||
| assert multi_geometry.to_string(verbosity=Verbosity.verbose) == new_mg.to_string( | ||
| verbosity=Verbosity.verbose, | ||
| ) | ||
| if geometry: | ||
| assert isinstance(new_mg.geometry, MultiPoint) | ||
|
|
There was a problem hiding this comment.
🛠️ Refactor suggestion
Consider refactoring MultiPoint test functions to reduce code duplication
The test functions test_multipoint_repr_roundtrip, test_multipoint_str_roundtrip, test_multipoint_str_roundtrip_terse, and test_multipoint_str_roundtrip_verbose have similar structures and repetitive code. To improve maintainability and reduce redundancy, consider parameterizing these tests using pytest.mark.parametrize or combining them into a single test function that iterates over different verbosity levels and serialization methods.
| "fastkml": fastkml, | ||
| } | ||
|
|
||
| ID_TEXT = string.ascii_letters + string.digits + string.punctuation |
There was a problem hiding this comment.
Review the use of string.punctuation in IDs to avoid invalid characters
Including string.punctuation in ID_TEXT means that generated IDs may contain special characters, which could cause issues in XML or KML parsing where certain characters are not allowed or have special meanings. Consider restricting the character set to letters, digits, and a limited set of safe characters to ensure IDs are valid and do not cause parsing errors.
Apply this diff to modify ID_TEXT:
-ID_TEXT = string.ascii_letters + string.digits + string.punctuation
+ID_TEXT = string.ascii_letters + string.digits + "_-"📝 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.
| ID_TEXT = string.ascii_letters + string.digits + string.punctuation | |
| ID_TEXT = string.ascii_letters + string.digits + "_-" |
| else: | ||
| assert not new_mg | ||
|
|
There was a problem hiding this comment.
Adjust the assertion to verify the geometry attribute
In the else block, replace assert not new_mg with assert new_mg.geometry is None to correctly check for the absence of geometry:
else:
- assert not new_mg
+ assert new_mg.geometry is None📝 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.
| else: | |
| assert not new_mg | |
| else: | |
| assert new_mg.geometry is None | |
| if geometry: | ||
| assert isinstance( | ||
| new_mg.geometry, | ||
| (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint), | ||
| ) | ||
| else: | ||
| assert not new_mg | ||
|
|
There was a problem hiding this comment.
Correct the assertion to check new_mg.geometry instead of new_mg
Similar to the previous comment, the assertion assert not new_mg may not function as intended. Modify it to check the geometry attribute:
else:
- assert not new_mg
+ assert new_mg.geometry is None📝 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.
| if geometry: | |
| assert isinstance( | |
| new_mg.geometry, | |
| (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint), | |
| ) | |
| else: | |
| assert not new_mg | |
| if geometry: | |
| assert isinstance( | |
| new_mg.geometry, | |
| (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint), | |
| ) | |
| else: | |
| assert new_mg.geometry is None |
| assert isinstance( | ||
| new_mg.geometry, | ||
| (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint), | ||
| ) | ||
| else: | ||
| assert not new_mg |
There was a problem hiding this comment.
Verify the correctness of assert not new_mg when geometry is None
In the else block, the assertion assert not new_mg may not work as intended because new_mg is an instance of MultiGeometry, and the assertion will always be False. To accurately check for the absence of geometry, consider asserting on the geometry attribute:
else:
- assert not new_mg
+ assert new_mg.geometry is None📝 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.
| assert isinstance( | |
| new_mg.geometry, | |
| (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint), | |
| ) | |
| else: | |
| assert not new_mg | |
| assert isinstance( | |
| new_mg.geometry, | |
| (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint), | |
| ) | |
| else: | |
| assert new_mg.geometry is None |
fastkml/geometry.py
Outdated
| if precision is None: | ||
| tuples = (",".join(str(c) for c in coord) for coord in coords) | ||
| else: | ||
| tuples = (",".join(f"{c:.{precision}f}" for c in coord) for coord in coords) | ||
| if len(coords[0]) not in (2, 3): |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Optimize by Moving Dimension Check Before Processing Coordinates
Currently, the dimension check if len(coords[0]) not in (2, 3): occurs after the coordinate formatting. Moving this check before formatting prevents unnecessary computation when coordinates have invalid dimensions.
Apply this diff to improve performance:
+ if not coords:
+ raise KMLWriteError("No coordinates provided")
+ if len(coords[0]) not in (2, 3):
+ msg = f"Invalid dimensions in coordinates '{coords}'"
+ raise KMLWriteError(msg)
if precision is None:
tuples = (",".join(str(c) for c in coord) for coord in coords)
else:
tuples = (",".join(f"{c:.{precision}f}" for c in coord) for coord in coords)
- if len(coords[0]) not in (2, 3):
- msg = f"Invalid dimensions in coordinates '{coords}'"
- raise KMLWriteError(msg)
element.text = " ".join(tuples)📝 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.
| if precision is None: | |
| tuples = (",".join(str(c) for c in coord) for coord in coords) | |
| else: | |
| tuples = (",".join(f"{c:.{precision}f}" for c in coord) for coord in coords) | |
| if len(coords[0]) not in (2, 3): | |
| if not coords: | |
| raise KMLWriteError("No coordinates provided") | |
| if len(coords[0]) not in (2, 3): | |
| msg = f"Invalid dimensions in coordinates '{coords}'" | |
| raise KMLWriteError(msg) | |
| if precision is None: | |
| tuples = (",".join(str(c) for c in coord) for coord in coords) | |
| else: | |
| tuples = (",".join(f"{c:.{precision}f}" for c in coord) for coord in coords) | |
| element.text = " ".join(tuples) |
Add Check for Empty coords to Prevent IndexError
Accessing coords[0] without verifying if coords is non-empty can lead to an IndexError when coords is empty. To ensure robustness, add a check for empty coords before accessing the first element.
Apply this diff to fix the issue:
+ if not coords:
+ raise KMLWriteError("No coordinates provided")
if precision is None:
tuples = (",".join(str(c) for c in coord) for coord in coords)
else:
tuples = (",".join(f"{c:.{precision}f}" for c in coord) for coord in coords)
+ if len(coords[0]) not in (2, 3):
- if len(coords[0]) not in (2, 3):
msg = f"Invalid dimensions in coordinates '{coords}'"
raise KMLWriteError(msg)
element.text = " ".join(tuples)📝 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.
| if precision is None: | |
| tuples = (",".join(str(c) for c in coord) for coord in coords) | |
| else: | |
| tuples = (",".join(f"{c:.{precision}f}" for c in coord) for coord in coords) | |
| if len(coords[0]) not in (2, 3): | |
| if not coords: | |
| raise KMLWriteError("No coordinates provided") | |
| if precision is None: | |
| tuples = (",".join(str(c) for c in coord) for coord in coords) | |
| else: | |
| tuples = (",".join(f"{c:.{precision}f}" for c in coord) for coord in coords) | |
| if len(coords[0]) not in (2, 3): | |
| msg = f"Invalid dimensions in coordinates '{coords}'" | |
| raise KMLWriteError(msg) | |
| element.text = " ".join(tuples) |
There was a problem hiding this comment.
👍 Looks good to me! Incremental review on 8b5f36a in 33 seconds
More details
- Looked at
688lines of code in3files - Skipped
0files when reviewing. - Skipped posting
1drafted comments based on config settings.
1. fastkml/geometry.py:165
- Draft comment:
The check for invalid dimensions in coordinates should be done before attempting to format the coordinates. This ensures that the error is caught early and avoids unnecessary processing. - Reason this comment was not posted:
Decided after close inspection that this draft comment was likely wrong and/or not actionable:
The comment is directly related to the change made in the code, which moves the validation check before the formatting logic. This is a logical improvement as it prevents unnecessary processing if the dimensions are invalid. The comment is actionable and provides a clear rationale for the change.
The comment might be seen as stating the obvious since the code change already reflects this logic. However, it does provide a rationale for the change, which can be useful for understanding the intent behind the modification.
While the comment might seem obvious, it provides a clear explanation of why the change was made, which can be beneficial for future reference or for other developers reviewing the code.
The comment is valid and provides a useful explanation for the code change. It should be kept as it clarifies the rationale behind the modification.
Workflow ID: wflow_Sl1y1j9wco1RGhV4
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Actionable comments posted: 6
🧹 Outside diff range and nitpick comments (3)
tests/hypothesis/multi_geometry_test.py (3)
130-195: Refactor MultiPoint test functions to reduce duplicationThe test functions for MultiPoint (
test_multipoint_str_roundtrip,test_multipoint_str_roundtrip_terse,test_multipoint_str_roundtrip_verbose) have very similar structures, leading to code duplication.Consider refactoring these tests into a single parameterized test function:
@pytest.mark.parametrize("verbosity", [None, Verbosity.terse, Verbosity.verbose]) @common_geometry( geometry=st.one_of( st.none(), multi_points(srs=epsg4326), ), ) def test_multipoint_str_roundtrip( id: typing.Optional[str], target_id: typing.Optional[str], extrude: typing.Optional[bool], tessellate: typing.Optional[bool], altitude_mode: typing.Optional[AltitudeMode], geometry: typing.Optional[MultiPoint], verbosity: typing.Optional[Verbosity], ) -> None: multi_geometry = fastkml.geometry.MultiGeometry( id=id, target_id=target_id, extrude=extrude, tessellate=tessellate, altitude_mode=altitude_mode, geometry=geometry, ) new_mg = fastkml.geometry.MultiGeometry.class_from_string( multi_geometry.to_string(verbosity=verbosity), ) assert multi_geometry.to_string(verbosity=Verbosity.verbose) == new_mg.to_string( verbosity=Verbosity.verbose, ) assert multi_geometry == new_mg if geometry: assert isinstance(new_mg.geometry, MultiPoint)This refactoring reduces code duplication and makes it easier to maintain and extend the tests in the future.
The coverage of different verbosity levels is good and ensures thorough testing of the MultiPoint serialization.
198-326: Refactor MultiLineString test functions and replaceevalThe MultiLineString test functions have the same structure and duplication issues as the MultiPoint tests. Additionally, the use of
evalin the repr roundtrip test is still present.
Refactor the string roundtrip tests into a single parameterized test, similar to the suggestion for MultiPoint tests.
For the repr roundtrip test, replace the use of
eval:- new_mg = eval(repr(multi_geometry), {}, eval_locals) # noqa: S307 + new_mg = fastkml.geometry.MultiGeometry.from_string(repr(multi_geometry))
- Consider creating a generic test function for all geometry types to further reduce code duplication:
@pytest.mark.parametrize("geometry_type, geometry_strategy", [ (MultiPoint, multi_points(srs=epsg4326)), (MultiLineString, multi_line_strings(srs=epsg4326)), # Add other geometry types here ]) @pytest.mark.parametrize("verbosity", [None, Verbosity.terse, Verbosity.verbose]) @common_geometry def test_geometry_roundtrip( id: typing.Optional[str], target_id: typing.Optional[str], extrude: typing.Optional[bool], tessellate: typing.Optional[bool], altitude_mode: typing.Optional[AltitudeMode], geometry_type: type, geometry_strategy: st.SearchStrategy, verbosity: typing.Optional[Verbosity], ) -> None: geometry = geometry_strategy.example() multi_geometry = fastkml.geometry.MultiGeometry( id=id, target_id=target_id, extrude=extrude, tessellate=tessellate, altitude_mode=altitude_mode, geometry=geometry, ) # Test string roundtrip new_mg = fastkml.geometry.MultiGeometry.class_from_string( multi_geometry.to_string(verbosity=verbosity), ) assert multi_geometry.to_string(verbosity=Verbosity.verbose) == new_mg.to_string(verbosity=Verbosity.verbose) assert multi_geometry == new_mg if geometry: assert isinstance(new_mg.geometry, geometry_type) # Test repr roundtrip repr_mg = fastkml.geometry.MultiGeometry.from_string(repr(multi_geometry)) assert multi_geometry == repr_mg if geometry: assert isinstance(repr_mg.geometry, geometry_type)This approach significantly reduces code duplication and makes it easier to add tests for new geometry types in the future.
The coverage of different scenarios for MultiLineString geometries is thorough and well-structured.
329-457: Refactor MultiPolygon test functions and replaceevalThe MultiPolygon test functions exhibit the same structure and duplication issues as the previous geometry type tests. The use of
evalin the repr roundtrip test is also still present.Apply the same refactoring suggestions as provided for the MultiLineString tests:
- Refactor the string roundtrip tests into a single parameterized test.
- Replace the use of
evalin the repr roundtrip test.- Consider using the generic test function approach suggested earlier to cover all geometry types, including MultiPolygon.
The coverage of different scenarios for MultiPolygon geometries is thorough and well-structured. Once refactored, these tests will be more maintainable and easier to extend.
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- fastkml/geometry.py (5 hunks)
- tests/hypothesis/geometry_test.py (1 hunks)
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fastkml/geometry.py
[warning] 505-505: fastkml/geometry.py#L505
Added line #L505 was not covered by tests
[warning] 660-660: fastkml/geometry.py#L660
Added line #L660 was not covered by tests
[warning] 1218-1218: fastkml/geometry.py#L1218
Added line #L1218 was not covered by tests
🔇 Additional comments (7)
tests/hypothesis/multi_geometry_test.py (4)
57-64: LGTM: Well-structured common decorator for test functionsThe
common_geometrydecorator effectively reduces code duplication by generating common parameters for all test functions. This approach follows the DRY (Don't Repeat Yourself) principle and improves maintainability.
97-127: LGTM: Well-structured test for MultiPoint string roundtripThis test function effectively checks the string serialization and deserialization of MultiPoint geometries. It uses the safer
class_from_stringmethod for reconstruction and includes appropriate assertions for equality and type checking.
1-600: Overall assessment: Comprehensive tests with opportunities for improvementThis file provides a thorough set of property-based tests for the MultiGeometry class, covering various geometry types and serialization methods. The use of Hypothesis for generating test cases is commendable and helps ensure robust testing.
Main points from the review:
- Replace the use of
evalwith safer alternatives to address security concerns.- Refactor the repetitive test functions into parameterized tests or a generic test function to reduce code duplication and improve maintainability.
- Update the
ID_TEXTdefinition to ensure valid XML identifiers.- Correct the assertion in the
elseclause of GeometryCollection tests to properly check for None geometry.These changes will significantly improve the quality and maintainability of the test suite while maintaining its comprehensive coverage.
Despite the identified issues, the overall structure and coverage of the tests are excellent. Implementing the suggested improvements will result in a high-quality, maintainable test suite for the MultiGeometry class.
55-55:⚠️ Potential issueRefine
ID_TEXTto ensure valid XML identifiersThe current definition of
ID_TEXTincludesstring.punctuation, which may introduce characters that are invalid in XML IDs. This could potentially cause issues when testing with certain input values.Consider restricting
ID_TEXTto a subset of characters that are valid for XML identifiers:-ID_TEXT = string.ascii_letters + string.digits + string.punctuation +ID_TEXT = string.ascii_letters + string.digits + "_-"Likely invalid or redundant comment.
tests/hypothesis/geometry_test.py (1)
1-469: Excellent job on enhancing test coverage with property-based tests!The implementation is thorough and follows best practices for using the Hypothesis library. The tests are well-structured and significantly improve the robustness of the geometry classes.
fastkml/geometry.py (2)
96-97: Approved: Introduction ofxml_attrsfor Attribute ManagementThe addition of the
xml_attrsset consolidates XML attribute names, promoting code reuse and maintainability across equality checks and other methods.
165-171: Approved: Early Validation of Coordinate DimensionsValidating the dimensions of
coordsat the beginning of the function enhances robustness by preventing potential errors and unnecessary computations when dealing with invalid input.
| eval_locals = { | ||
| "Point": Point, | ||
| "Polygon": Polygon, | ||
| "LineString": LineString, | ||
| "LinearRing": LinearRing, | ||
| "AltitudeMode": AltitudeMode, | ||
| "MultiPoint": MultiPoint, | ||
| "MultiLineString": MultiLineString, | ||
| "MultiPolygon": MultiPolygon, | ||
| "GeometryCollection": GeometryCollection, | ||
| "fastkml": fastkml, | ||
| } |
There was a problem hiding this comment.
Remove eval_locals and avoid using eval
The use of eval with eval_locals poses a security risk, even in test code. It's recommended to remove this dictionary and refactor the code to avoid using eval for object reconstruction.
Consider replacing eval usage with safer alternatives like copy.deepcopy or implementing explicit serialization/deserialization methods.
| def test_geometrycollection_str_roundtrip( | ||
| id: typing.Optional[str], | ||
| target_id: typing.Optional[str], | ||
| extrude: typing.Optional[bool], | ||
| tessellate: typing.Optional[bool], | ||
| altitude_mode: typing.Optional[AltitudeMode], | ||
| geometry: typing.Optional[GeometryCollection], | ||
| ) -> None: | ||
| multi_geometry = fastkml.geometry.MultiGeometry( | ||
| id=id, | ||
| target_id=target_id, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| geometry=geometry, | ||
| ) | ||
|
|
||
| new_mg = fastkml.geometry.MultiGeometry.class_from_string( | ||
| multi_geometry.to_string(), | ||
| ) | ||
|
|
||
| if geometry: | ||
| assert isinstance( | ||
| new_mg.geometry, | ||
| (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint), | ||
| ) | ||
| else: | ||
| assert not new_mg | ||
|
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||
|
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| @common_geometry( | ||
| geometry=st.one_of( | ||
| st.none(), | ||
| geometry_collections(srs=epsg4326), | ||
| ), | ||
| ) | ||
| def test_geometrycollection_str_roundtrip_terse( | ||
| id: typing.Optional[str], | ||
| target_id: typing.Optional[str], | ||
| extrude: typing.Optional[bool], | ||
| tessellate: typing.Optional[bool], | ||
| altitude_mode: typing.Optional[AltitudeMode], | ||
| geometry: typing.Optional[GeometryCollection], | ||
| ) -> None: | ||
| multi_geometry = fastkml.geometry.MultiGeometry( | ||
| id=id, | ||
| target_id=target_id, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| geometry=geometry, | ||
| ) | ||
|
|
||
| new_mg = fastkml.geometry.MultiGeometry.class_from_string( | ||
| multi_geometry.to_string(verbosity=Verbosity.terse), | ||
| ) | ||
|
|
||
| if geometry: | ||
| assert isinstance( | ||
| new_mg.geometry, | ||
| (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint), | ||
| ) | ||
| else: | ||
| assert not new_mg | ||
|
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|
|
||
| @common_geometry( | ||
| geometry=st.one_of( | ||
| st.none(), | ||
| geometry_collections(srs=epsg4326), | ||
| ), | ||
| ) | ||
| def test_geometrycollection_str_roundtrip_verbose( | ||
| id: typing.Optional[str], | ||
| target_id: typing.Optional[str], | ||
| extrude: typing.Optional[bool], | ||
| tessellate: typing.Optional[bool], | ||
| altitude_mode: typing.Optional[AltitudeMode], | ||
| geometry: typing.Optional[GeometryCollection], | ||
| ) -> None: | ||
| multi_geometry = fastkml.geometry.MultiGeometry( | ||
| id=id, | ||
| target_id=target_id, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| geometry=geometry, | ||
| ) | ||
|
|
||
| new_mg = fastkml.geometry.MultiGeometry.class_from_string( | ||
| multi_geometry.to_string(verbosity=Verbosity.verbose), | ||
| ) | ||
|
|
||
| if geometry: | ||
| assert isinstance( | ||
| new_mg.geometry, | ||
| (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint), | ||
| ) | ||
| else: | ||
| assert not new_mg |
There was a problem hiding this comment.
Refactor GeometryCollection tests and improve assertions
The GeometryCollection test functions have similar structure and duplication issues as the previous geometry type tests. However, they use a different assertion pattern for checking the geometry type, which is appropriate for GeometryCollection.
-
Apply the same refactoring suggestions as provided for the previous geometry type tests, including the use of a generic test function.
-
Update the assertion for geometry type checking in the generic test function to accommodate GeometryCollection:
if geometry:
if geometry_type == GeometryCollection:
assert isinstance(new_mg.geometry, (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint))
else:
assert isinstance(new_mg.geometry, geometry_type)- Replace the use of
evalin the repr roundtrip test as suggested earlier.
In the else clause of these functions, the assertion assert not new_mg is incorrect. It should check if the geometry is None instead:
- else:
- assert not new_mg
+ else:
+ assert new_mg.geometry is NoneThis change ensures that the MultiGeometry object exists but has no geometry when the input geometry is None.
The coverage of different scenarios for GeometryCollection is thorough and well-structured. The different assertion pattern used for GeometryCollection is appropriate and covers the possible geometry types correctly.
| @common_geometry( | ||
| geometry=st.one_of( | ||
| st.none(), | ||
| multi_points(srs=epsg4326), | ||
| ), | ||
| ) | ||
| def test_multipoint_repr_roundtrip( | ||
| id: typing.Optional[str], | ||
| target_id: typing.Optional[str], | ||
| extrude: typing.Optional[bool], | ||
| tessellate: typing.Optional[bool], | ||
| altitude_mode: typing.Optional[AltitudeMode], | ||
| geometry: typing.Optional[MultiPoint], | ||
| ) -> None: | ||
| multi_geometry = fastkml.geometry.MultiGeometry( | ||
| id=id, | ||
| target_id=target_id, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| geometry=geometry, | ||
| ) | ||
|
|
||
| new_mg = eval(repr(multi_geometry), {}, eval_locals) # noqa: S307 | ||
|
|
||
| assert multi_geometry == new_mg | ||
| if geometry: | ||
| assert isinstance(new_mg.geometry, MultiPoint) | ||
|
|
There was a problem hiding this comment.
Replace eval with a safer alternative in test_multipoint_repr_roundtrip
While the test structure is good, the use of eval for object reconstruction is unsafe and should be avoided.
Consider replacing the eval line with a safer alternative:
- new_mg = eval(repr(multi_geometry), {}, eval_locals) # noqa: S307
+ new_mg = fastkml.geometry.MultiGeometry.from_string(repr(multi_geometry))This assumes that MultiGeometry has a from_string method that can parse its string representation. If not, consider implementing such a method or using ast.literal_eval as a safer alternative to eval.
The overall structure and assertions of the test are well-designed and cover the necessary checks for the MultiPoint geometry.
Committable suggestion was skipped due to low confidence.
| def __eq__(self, other: object) -> bool: | ||
| """Check if the Point objects are equal.""" | ||
| if isinstance(other, Point): | ||
| return all( | ||
| getattr(self, attr) == getattr(other, attr) | ||
| for attr in ( | ||
| "extrude", | ||
| "altitude_mode", | ||
| "geometry", | ||
| *xml_attrs, | ||
| *self._get_splat(), | ||
| ) | ||
| ) | ||
| return super().__eq__(other) | ||
|
|
There was a problem hiding this comment.
Note on Test Coverage for Point.__eq__ Method
The __eq__ method implementation in the Point class is comprehensive. However, static analysis indicates that line 505 (return super().__eq__(other)) is not covered by existing tests. Adding a unit test where other is not an instance of Point will ensure this branch is exercised, improving test coverage and reliability.
Would you like assistance in creating a unit test to cover this scenario?
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[warning] 505-505: fastkml/geometry.py#L505
Added line #L505 was not covered by tests
| def __eq__(self, other: object) -> bool: | ||
| """Check if the LineString objects is equal.""" | ||
| if isinstance(other, LineString): | ||
| return all( | ||
| getattr(self, attr) == getattr(other, attr) | ||
| for attr in ( | ||
| "extrude", | ||
| "tessellate", | ||
| "geometry", | ||
| *xml_attrs, | ||
| *self._get_splat(), | ||
| ) | ||
| ) | ||
| return super().__eq__(other) | ||
|
|
There was a problem hiding this comment.
Note on Test Coverage for LineString.__eq__ Method
Similarly, in the LineString class, the else branch in the __eq__ method (line 660) is not covered by tests. Introducing a test case where other is not a LineString instance will enhance coverage.
Can I help in drafting a unit test for this case?
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[warning] 660-660: fastkml/geometry.py#L660
Added line #L660 was not covered by tests
| def __eq__(self, other: object) -> bool: | ||
| """Check if the Polygon objects are equal.""" | ||
| if isinstance(other, Polygon): | ||
| return all( | ||
| getattr(self, attr) == getattr(other, attr) | ||
| for attr in ( | ||
| "extrude", | ||
| "tessellate", | ||
| "geometry", | ||
| *xml_attrs, | ||
| *self._get_splat(), | ||
| ) | ||
| ) | ||
| return super().__eq__(other) | ||
|
|
There was a problem hiding this comment.
Note on Test Coverage for Polygon.__eq__ Method
The else branch in the __eq__ method of the Polygon class (line 1218) lacks test coverage according to static analysis. Including a unit test where other is not a Polygon instance will ensure comprehensive testing of this method.
Would you like me to assist in writing this unit test?
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[warning] 1218-1218: fastkml/geometry.py#L1218
Added line #L1218 was not covered by tests
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1. tests/hypothesis/multi_geometry_test.py:72
- Draft comment:
Usingevalcan be risky and should be avoided if possible. Consider using a safer alternative for object reconstruction. - Reason this comment was not posted:
Decided after close inspection that this draft comment was likely wrong and/or not actionable:
The use of 'eval' is generally discouraged due to security risks, especially if the input is not controlled. In this context, 'eval' is used with a controlled environment ('eval_locals'), which mitigates some risks. However, the comment is valid as it points out a potential security concern and suggests considering safer alternatives. This aligns with best practices in code quality and security.
The comment does not provide a specific alternative to 'eval', which might make it less actionable. Additionally, the controlled environment might already mitigate the risks sufficiently.
Even though the environment is controlled, highlighting the use of 'eval' is important for security awareness. The lack of a specific alternative does not invalidate the concern raised.
The comment is valid as it highlights a potential security risk with using 'eval', even in a controlled environment. It aligns with best practices in code quality and security, so it should be kept.
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1. docs/usage_guide.rst:48
- Draft comment:
Ensure that theprecisionparameter is correctly documented in the method signature ofto_stringin the codebase, as it is now being used in the usage guide examples. - Reason this comment was not posted:
Confidence changes required:50%
The usage guide has been updated to include a precision parameter in theto_stringmethod calls. This is consistent with the changes in the PR that refactor precision handling in geometry classes.
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🧹 Outside diff range and nitpick comments (2)
docs/usage_guide.rst (2)
48-48: LGTM! Consider adding a brief explanation about theprecisionparameter.The addition of the
precision=6parameter to theto_stringmethod is a good improvement. It provides consistent and controlled output formatting for coordinate values.Consider adding a brief explanation about the
precisionparameter in the documentation, such as:# Print out the KML Object as a string with 6 decimal places precision for coordinate values >>> print(k.to_string(prettyprint=True, precision=6))This will help users understand the purpose and effect of the
precisionparameter.
148-148: LGTM! Consider adding a brief explanation about theprecisionparameter for consistency.The addition of the
precision=6parameter to theto_stringmethod in this section is consistent with the previous example and maintains uniformity throughout the documentation.For consistency with the previous suggestion, consider adding a brief explanation about the
precisionparameter here as well:# Verify that we can print back out the KML object as a string with 6 decimal places precision for coordinate values >>> print(k.to_string(prettyprint=True, precision=6))This will reinforce the understanding of the
precisionparameter's purpose and effect across different usage scenarios.
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docs/usage_guide.rst (1)
Line range hint
1-180: Overall, the changes to the usage guide are appropriate and beneficial.The addition of the
precisionparameter to both examples in the documentation is consistent and aligns with the PR objectives. These changes improve the clarity of the documentation by demonstrating how to control the precision of coordinate values in the KML output.To further enhance the documentation:
- Consider adding a brief explanation of the
precisionparameter in both examples, as suggested in the previous comments.- It might be beneficial to add a note in the introduction or a separate section explaining the purpose and impact of the
precisionparameter on KML output.
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tests/hypothesis/multi_geometry_test.py (2)
43-54:⚠️ Potential issueRemove
eval_localsand avoid usingevalThe use of
evalwitheval_localsposes a security risk, even in test code. It's recommended to remove this dictionary and refactor the code to avoid usingevalfor object reconstruction.Consider replacing
evalusage with safer alternatives likecopy.deepcopyor implementing explicit serialization/deserialization methods.
56-56:⚠️ Potential issueReview the use of
string.punctuationin IDs to avoid invalid charactersIncluding
string.punctuationinID_TEXTmeans that generated IDs may contain special characters, which could cause issues in XML or KML parsing where certain characters are not allowed or have special meanings. Consider restricting the character set to letters, digits, and a limited set of safe characters to ensure IDs are valid and do not cause parsing errors.Apply this diff to modify
ID_TEXT:-ID_TEXT = string.ascii_letters + string.digits + string.punctuation +ID_TEXT = string.ascii_letters + string.digits + "_-"Likely invalid or redundant comment.
| geometry=geometry, | ||
| ) | ||
|
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| _test_repr_roundtrip(multi_geometry, MultiPoint) | ||
|
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|
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||
| @common_geometry( | ||
| geometry=st.one_of( | ||
| st.none(), | ||
| multi_points(srs=epsg4326), | ||
| ), | ||
| ) | ||
| def test_multipoint_str_roundtrip( | ||
| id: str | None, | ||
| target_id: str | None, | ||
| extrude: bool | None, | ||
| tessellate: bool | None, | ||
| altitude_mode: AltitudeMode | None, | ||
| geometry: MultiPoint | None, | ||
| ) -> None: | ||
| multi_geometry = fastkml.geometry.MultiGeometry( | ||
| id=id, | ||
| target_id=target_id, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| geometry=geometry, | ||
| ) | ||
|
|
||
| _test_geometry_str_roundtrip( | ||
| multi_geometry, | ||
| cls=MultiPoint, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| ) | ||
|
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||
|
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| @common_geometry( | ||
| geometry=st.one_of( | ||
| st.none(), | ||
| multi_points(srs=epsg4326), | ||
| ), | ||
| ) | ||
| def test_multipoint_str_roundtrip_terse( | ||
| id: str | None, | ||
| target_id: str | None, | ||
| extrude: bool | None, | ||
| tessellate: bool | None, | ||
| altitude_mode: AltitudeMode | None, | ||
| geometry: MultiPoint | None, | ||
| ) -> None: | ||
| multi_geometry = fastkml.geometry.MultiGeometry( | ||
| id=id, | ||
| target_id=target_id, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| geometry=geometry, | ||
| ) | ||
|
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| _test_geometry_str_roundtrip_terse( | ||
| multi_geometry, | ||
| cls=MultiPoint, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| ) | ||
|
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|
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| @common_geometry( | ||
| geometry=st.one_of( | ||
| st.none(), | ||
| multi_points(srs=epsg4326), | ||
| ), | ||
| ) | ||
| def test_multipoint_str_roundtrip_verbose( | ||
| id: str | None, | ||
| target_id: str | None, | ||
| extrude: bool | None, | ||
| tessellate: bool | None, | ||
| altitude_mode: AltitudeMode | None, | ||
| geometry: MultiPoint | None, | ||
| ) -> None: | ||
| multi_geometry = fastkml.geometry.MultiGeometry( | ||
| id=id, | ||
| target_id=target_id, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| geometry=geometry, | ||
| ) | ||
|
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| _test_geometry_str_roundtrip_verbose( | ||
| multi_geometry, | ||
| cls=MultiPoint, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| ) |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Refactor tests to reduce code duplication
The test functions for different geometry types have a highly similar structure, leading to code duplication. Consider refactoring the tests to use parameterization or helper functions to improve maintainability and readability.
Example refactoring using a helper function:
def geometry_roundtrip_test(
geometry_type,
geometry_strategy,
verbosity=Verbosity.verbose,
):
@given(
id=st.one_of(st.none(), st.text(alphabet=ID_TEXT)),
target_id=st.one_of(st.none(), st.text(ID_TEXT)),
extrude=st.one_of(st.none(), st.booleans()),
tessellate=st.one_of(st.none(), st.booleans()),
altitude_mode=st.one_of(st.none(), st.sampled_from(AltitudeMode)),
geometry=st.one_of(st.none(), geometry_strategy),
)
def test(
id: typing.Optional[str],
target_id: typing.Optional[str],
extrude: typing.Optional[bool],
tessellate: typing.Optional[bool],
altitude_mode: typing.Optional[AltitudeMode],
geometry,
) -> None:
multi_geometry = fastkml.geometry.MultiGeometry(
id=id,
target_id=target_id,
extrude=extrude,
tessellate=tessellate,
altitude_mode=altitude_mode,
geometry=geometry,
)
new_mg = fastkml.geometry.MultiGeometry.class_from_string(
multi_geometry.to_string(verbosity=verbosity),
)
assert multi_geometry.to_string(verbosity=verbosity) == new_mg.to_string(
verbosity=verbosity,
)
assert multi_geometry == new_mg
if geometry:
assert isinstance(new_mg.geometry, geometry_type)
return test
# Generate tests for each geometry type
test_multipoint_roundtrip = geometry_roundtrip_test(MultiPoint, multi_points(srs=epsg4326))
test_multilinestring_roundtrip = geometry_roundtrip_test(MultiLineString, multi_line_strings(srs=epsg4326))
test_multipolygon_roundtrip = geometry_roundtrip_test(MultiPolygon, multi_polygons(srs=epsg4326))
test_geometrycollection_roundtrip = geometry_roundtrip_test(GeometryCollection, geometry_collections(srs=epsg4326))This approach reduces repetition and centralizes the test logic.
Also applies to: 297-416, 419-538, 541-681
| def test_geometrycollection_repr_roundtrip( | ||
| id: str | None, | ||
| target_id: str | None, | ||
| extrude: bool | None, | ||
| tessellate: bool | None, | ||
| altitude_mode: AltitudeMode | None, | ||
| geometry: GeometryCollection | None, | ||
| ) -> None: | ||
| multi_geometry = fastkml.geometry.MultiGeometry( | ||
| id=id, | ||
| target_id=target_id, | ||
| extrude=extrude, | ||
| tessellate=tessellate, | ||
| altitude_mode=altitude_mode, | ||
| geometry=geometry, | ||
| ) | ||
|
|
||
| new_mg = eval(repr(multi_geometry), {}, eval_locals) # noqa: S307 | ||
|
|
||
| assert multi_geometry == new_mg | ||
| if geometry: | ||
| assert isinstance( | ||
| new_mg.geometry, | ||
| (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint), | ||
| ) | ||
| else: | ||
| assert not new_mg |
There was a problem hiding this comment.
🛠️ Refactor suggestion
Refactor GeometryCollection tests and improve assertions
The GeometryCollection test functions have similar structure and duplication issues as the previous geometry type tests. However, they use a different assertion pattern for checking the geometry type, which is appropriate for GeometryCollection.
-
Apply the same refactoring suggestions as provided for the previous geometry type tests, including the use of a generic test function.
-
Update the assertion for geometry type checking in the generic test function to accommodate GeometryCollection:
if geometry:
if geometry_type == GeometryCollection:
assert isinstance(new_mg.geometry, (GeometryCollection, MultiPolygon, MultiLineString, MultiPoint))
else:
assert isinstance(new_mg.geometry, geometry_type)- Replace the use of
evalin the repr roundtrip test as suggested earlier.
In the else clause of these functions, the assertion assert not new_mg is incorrect. It should check if the geometry is None instead:
- else:
- assert not new_mg
+ else:
+ assert new_mg.geometry is NoneThis change ensures that the MultiGeometry object exists but has no geometry when the input geometry is None.
The coverage of different scenarios for GeometryCollection is thorough and well-structured. The different assertion pattern used for GeometryCollection is appropriate and covers the possible geometry types correctly.
Also applies to: 582-610, 618-646, 654-681
| def _test_repr_roundtrip( | ||
| geometry: fastkml.geometry.MultiGeometry, | ||
| cls: type[MultiPoint | MultiLineString | MultiPolygon | GeometryCollection], | ||
| ) -> None: | ||
| new_g = eval(repr(geometry), {}, eval_locals) # noqa: S307 | ||
|
|
||
| assert geometry == new_g | ||
| if geometry: | ||
| assert type(new_g.geometry) is cls | ||
|
|
There was a problem hiding this comment.
Replace eval with a safer alternative in _test_repr_roundtrip
The use of eval for object reconstruction is unsafe and should be avoided, even in test code. Consider using a safer alternative such as ast.literal_eval or implementing a custom deserialization method.
Replace the eval line with a safer alternative:
- new_g = eval(repr(geometry), {}, eval_locals) # noqa: S307
+ new_g = fastkml.geometry.MultiGeometry.from_string(repr(geometry))This assumes that MultiGeometry has a from_string method that can parse its string representation. If not, consider implementing such a method or using ast.literal_eval as a safer alternative to eval.
Committable suggestion was skipped due to low confidence.
User description
PR Type
Tests, Enhancement
Description
Changes walkthrough 📝
2 files
features.py
Add default value for `max_lines` attributefastkml/features.py
max_linesattribute.geometry.py
Refactor geometry classes and add equality checksfastkml/geometry.py
xml_attrsfor attribute management.11 files
conftest.py
Configure Hypothesis profiles for testingtests/conftest.py
boundaries_test.py
Update boundary tests with precision parametertests/geometries/boundaries_test.py
coordinates_test.py
Update coordinate tests with precision parametertests/geometries/coordinates_test.py
geometry_test.py
Update geometry tests with precision parametertests/geometries/geometry_test.py
linearring_test.py
Update LinearRing tests with precision parametertests/geometries/linearring_test.py
linestring_test.py
Update LineString tests with precision parametertests/geometries/linestring_test.py
multigeometry_test.py
Update MultiGeometry tests with precision parametertests/geometries/multigeometry_test.py
point_test.py
Update Point tests with precision parametertests/geometries/point_test.py
polygon_test.py
Update Polygon tests with precision parametertests/geometries/polygon_test.py
geometry_test.py
Add property-based tests for geometry classestests/hypothesis/geometry_test.py
multi_geometry_test.py
Add property-based tests for multi-geometry classestests/hypothesis/multi_geometry_test.py
Hypothesis.
2 files
run-all-tests.yml
Update test workflow and coverage threshold.github/workflows/run-all-tests.yml
.pre-commit-config.yaml
Update pre-commit configuration for Python and dependencies.pre-commit-config.yaml
1 files
pyproject.toml
Update test dependencies and coverage configurationpyproject.toml
Summary by Sourcery
Enhance geometry handling by adding equality checks and refactoring coordinate precision management. Introduce property-based testing with Hypothesis to improve test coverage and robustness. Update CI and deployment configurations to enforce stricter code coverage and secure publishing processes.
New Features:
Enhancements:
Build:
CI:
Deployment:
Tests:
Summary by CodeRabbit
New Features
Bug Fixes
Documentation
Chores
Important
Add property-based tests using Hypothesis for geometry classes, refactor precision handling, and update testing configurations.
tests/hypothesis/geometry_test.pyandtests/hypothesis/multi_geometry_test.py.boundaries_test.py,coordinates_test.py,geometry_test.py,linearring_test.py,linestring_test.py,multigeometry_test.py,point_test.py, andpolygon_test.pyto include precision parameters.conftest.pyfor testing.geometry.pyto add equality checks and improve precision handling.xml_attrsfor attribute management ingeometry.py.run-all-tests.yml..pre-commit-config.yamlto support Python 3.8+ and add Hypothesis to mypy dependencies.max_linesattribute infeatures.py.This description was created by
for 1142a1e. It will automatically update as commits are pushed.