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Improving Test coverage #365
Improving Test coverage #365
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… test_coverage
Review changes with SemanticDiff. Analyzed 13 of 13 files. Overall, the semantic diff is 1% smaller than the GitHub diff.
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Reviewer's Guide by SourceryThis pull request focuses on improving test coverage for the fastkml library. The changes include adding new test cases, expanding existing tests, and introducing error handling scenarios across various modules. The modifications aim to increase the overall test coverage and robustness of the library. No diagrams generated as the changes look simple and do not need a visual representation. File-Level Changes
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WalkthroughThis pull request introduces new test methods and assertions in the Changes
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Hello @apurvabanka! Thanks for updating this PR. We checked the lines you've touched for PEP 8 issues, and found:
Comment last updated at 2024-10-13 18:46:43 UTC |
PR Summary
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PR Reviewer Guide 🔍(Review updated until commit 589a00f)Here are some key observations to aid the review process:
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Persistent review updated to latest commit 589a00f |
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👍 Looks good to me! Reviewed everything up to 589a00f in 44 seconds
More details
- Looked at
565
lines of code in13
files - Skipped
0
files when reviewing. - Skipped posting
8
drafted comments based on config settings.
1. tests/containers_test.py:69
- Draft comment:
Consider using consistent naming conventions for test functions. For example, use underscores to separate words in function names, such astest_container_creation
andtest_container_feature_append
. - Reason this comment was not posted:
Confidence changes required:50%
The test function names are inconsistent in their use of underscores. Some functions use underscores to separate words, while others do not. Consistent naming conventions improve readability and maintainability.
2. tests/geometries/boundaries_test.py:46
- Draft comment:
Consider using consistent naming conventions for test functions. For example, use underscores to separate words in function names, such astest_outer_boundary_geometry_error
. - Reason this comment was not posted:
Confidence changes required:50%
The test function names are inconsistent in their use of underscores. Some functions use underscores to separate words, while others do not. Consistent naming conventions improve readability and maintainability.
3. tests/geometries/functions_test.py:24
- Draft comment:
Consider using consistent naming conventions for test functions. For example, use underscores to separate words in function names, such astest_coordinates_subelement_exception
. - Reason this comment was not posted:
Confidence changes required:50%
The test function names are inconsistent in their use of underscores. Some functions use underscores to separate words, while others do not. Consistent naming conventions improve readability and maintainability.
4. tests/geometries/linestring_test.py:41
- Draft comment:
Consider using consistent naming conventions for test functions. For example, use underscores to separate words in function names, such astest_geometry_error
. - Reason this comment was not posted:
Confidence changes required:50%
The test function names are inconsistent in their use of underscores. Some functions use underscores to separate words, while others do not. Consistent naming conventions improve readability and maintainability.
5. tests/geometries/multigeometry_test.py:294
- Draft comment:
Consider using consistent naming conventions for test functions. For example, use underscores to separate words in function names, such astest_geometry_error
. - Reason this comment was not posted:
Confidence changes required:50%
The test function names are inconsistent in their use of underscores. Some functions use underscores to separate words, while others do not. Consistent naming conventions improve readability and maintainability.
6. tests/geometries/point_test.py:43
- Draft comment:
Consider using consistent naming conventions for test functions. For example, use underscores to separate words in function names, such astest_geometry_error
. - Reason this comment was not posted:
Confidence changes required:50%
The test function names are inconsistent in their use of underscores. Some functions use underscores to separate words, while others do not. Consistent naming conventions improve readability and maintainability.
7. tests/geometries/polygon_test.py:132
- Draft comment:
Consider using consistent naming conventions for test functions. For example, use underscores to separate words in function names, such astest_geometry_error
. - Reason this comment was not posted:
Confidence changes required:50%
The test function names are inconsistent in their use of underscores. Some functions use underscores to separate words, while others do not. Consistent naming conventions improve readability and maintainability.
8. tests/gx_test.py:54
- Draft comment:
Consider using consistent naming conventions for test functions. For example, use underscores to separate words in function names, such astest_track_etree_element
. - Reason this comment was not posted:
Confidence changes required:50%
The test function names are inconsistent in their use of underscores. Some functions use underscores to separate words, while others do not. Consistent naming conventions improve readability and maintainability.
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Hey @apurvabanka - I've reviewed your changes and they look great!
Here's what I looked at during the review
- 🟢 General issues: all looks good
- 🟢 Security: all looks good
- 🟡 Testing: 3 issues found
- 🟢 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.
tests/containers_test.py
Outdated
def test_container_feature_append(self)->None: | ||
container = containers._Container( | ||
ns="ns", | ||
id="id", | ||
target_id="target_id", | ||
name="name" | ||
) | ||
feature = features._Feature(name="new_feature") | ||
assert container.append(feature) is None | ||
with pytest.raises(ValueError): | ||
container.append(container) |
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suggestion (testing): Good test for appending features and handling invalid appends
This test covers both successful append and the error case. Consider adding an assertion to check if the feature was actually appended to the container.
def test_container_feature_append(self)->None: | |
container = containers._Container( | |
ns="ns", | |
id="id", | |
target_id="target_id", | |
name="name" | |
) | |
feature = features._Feature(name="new_feature") | |
assert container.append(feature) is None | |
with pytest.raises(ValueError): | |
container.append(container) | |
def test_container_feature_append(self) -> None: | |
container = containers._Container( | |
ns="ns", id="id", target_id="target_id", name="name" | |
) | |
feature = features._Feature(name="new_feature") | |
container.append(feature) | |
assert feature in container.features | |
with pytest.raises(ValueError): | |
container.append(container) |
tests/geometries/boundaries_test.py
Outdated
def test_outer_boundry_geometry_error(self) -> None: | ||
"""Test GeometryError.""" | ||
p = geo.Point(1, 2) | ||
coords = ((1, 2), (2, 0), (0, 0), (1, 2)) | ||
|
||
with pytest.raises(GeometryError): | ||
OuterBoundaryIs( | ||
kml_geometry=LinearRing(kml_coordinates=Coordinates(coords=coords)), | ||
geometry=p | ||
) |
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suggestion (testing): Good test for GeometryError in OuterBoundaryIs
This test effectively checks for the GeometryError. Consider adding a similar test for other geometry types to ensure consistent error handling.
def test_outer_boundry_geometry_error(self) -> None: | |
"""Test GeometryError.""" | |
p = geo.Point(1, 2) | |
coords = ((1, 2), (2, 0), (0, 0), (1, 2)) | |
with pytest.raises(GeometryError): | |
OuterBoundaryIs( | |
kml_geometry=LinearRing(kml_coordinates=Coordinates(coords=coords)), | |
geometry=p | |
) | |
def test_outer_boundary_geometry_error(self) -> None: | |
"""Test GeometryError for different geometry types.""" | |
geometries = [geo.Point(1, 2), geo.LineString([(0, 0), (1, 1)]), geo.Polygon([(0, 0), (1, 1), (1, 0)])] | |
coords = ((1, 2), (2, 0), (0, 0), (1, 2)) | |
kml_geometry = LinearRing(kml_coordinates=Coordinates(coords=coords)) | |
for geometry in geometries: | |
with pytest.raises(GeometryError): | |
OuterBoundaryIs(kml_geometry=kml_geometry, geometry=geometry) |
tests/geometries/functions_test.py
Outdated
class TestGeometryFunctions(StdLibrary): | ||
"""Test functions in Geometry""" | ||
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||
@patch('fastkml.config.etree.tostring') | ||
def test_handle_invalid_geometry_error_true(self, mock_to_string) -> None: | ||
mock_element = Mock() | ||
with pytest.raises(KMLParseError): | ||
handle_invalid_geometry_error(error=ValueError, element=mock_element, strict=True) | ||
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||
@patch('fastkml.config.etree.tostring') | ||
def test_handle_invalid_geometry_error_false(self, mock_to_string) -> None: | ||
mock_element = Mock() | ||
assert handle_invalid_geometry_error(error=ValueError, element=mock_element, strict=False) is None | ||
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def test_coordinates_subelement_exception(self) -> None: | ||
obj = Mock() | ||
setattr(obj, 'coordinates', [(1.123456, 2.654321, 3.111111, 4.222222)]) # Invalid 4D coordinates | ||
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element = Mock() | ||
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precision = None | ||
attr_name = 'coordinates' | ||
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with pytest.raises(KMLWriteError): | ||
coordinates_subelement( | ||
obj=obj, | ||
attr_name=attr_name, | ||
node_name=None, | ||
element=element, | ||
precision=precision, | ||
verbosity=None, | ||
default=None | ||
) | ||
def test_coordinates_subelement_getattr(self) -> None: | ||
obj = Mock() | ||
setattr(obj, 'coordinates', [(1.123456, 2.654321), (3.123456, 4.654321)]) | ||
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element = Mock() | ||
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precision = 4 | ||
attr_name = 'coordinates' | ||
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assert coordinates_subelement( | ||
obj=None, | ||
attr_name=attr_name, | ||
node_name=None, | ||
element=element, | ||
precision=precision, | ||
verbosity=None, | ||
default=None | ||
) is None |
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suggestion (testing): Good addition of tests for geometry functions
These tests cover important geometry functions. Consider adding more test cases for different types of geometries and edge cases to ensure comprehensive coverage.
class TestGeometryFunctions(StdLibrary):
"""Test functions in Geometry"""
@pytest.mark.parametrize("strict, expected", [(True, pytest.raises(KMLParseError)), (False, None)])
@patch('fastkml.config.etree.tostring')
def test_handle_invalid_geometry_error(self, mock_to_string, strict, expected):
mock_element = Mock()
with expected:
result = handle_invalid_geometry_error(error=ValueError, element=mock_element, strict=strict)
if not strict:
assert result is None
@pytest.mark.parametrize("coordinates, precision, expected", [
([(1.123456, 2.654321, 3.111111, 4.222222)], None, pytest.raises(KMLWriteError)),
([(1.123456, 2.654321), (3.123456, 4.654321)], 4, None)
])
def test_coordinates_subelement(self, coordinates, precision, expected):
obj = Mock(coordinates=coordinates)
element = Mock()
with expected:
result = coordinates_subelement(obj, 'coordinates', None, element, precision, None, None)
if expected is None:
assert result is None
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Actionable comments posted: 3
🧹 Outside diff range and nitpick comments (23)
tests/geometries/functions_test.py (4)
1-12
: Add a module-level docstringThe imports and class declaration look good. However, it's recommended to add a module-level docstring to provide an overview of the test suite's purpose.
Consider adding a docstring at the beginning of the file, like this:
""" Unit tests for geometry-related functions in the fastkml library. This module contains test cases for various geometry functions, including error handling and coordinate processing. """🧰 Tools
🪛 Ruff
1-1: Missing docstring in public module
(D100)
8-8: First line should end with a period
Add period
(D400)
8-8: First line should end with a period, question mark, or exclamation point
Add closing punctuation
(D415)
11-11: Missing type annotation for function argument
mock_to_string
(ANN001)
11-11: Unused method argument:
mock_to_string
(ARG002)
13-17
: LGTM with a minor suggestionThe test case correctly verifies the behavior of
handle_invalid_geometry_error
whenstrict=True
. Good use ofpatch
for isolation.Consider removing the unused
mock_to_string
argument or use it in the test if needed:@patch('fastkml.config.etree.tostring') def test_handle_invalid_geometry_error_true(self, _) -> None: # Rest of the test remains the same🧰 Tools
🪛 Ruff
14-14: Line too long (94 > 88)
(E501)
17-17: Missing type annotation for function argument
mock_to_string
(ANN001)
17-17: Unused method argument:
mock_to_string
(ARG002)
19-22
: LGTM with the same minor suggestionThis test case correctly verifies the behavior of
handle_invalid_geometry_error
whenstrict=False
. The consistency in usingpatch
is good.As with the previous test, consider removing the unused
mock_to_string
argument:@patch('fastkml.config.etree.tostring') def test_handle_invalid_geometry_error_false(self, _) -> None: # Rest of the test remains the same🧰 Tools
🪛 Ruff
19-19: Line too long (106 > 88)
(E501)
24-42
: LGTM with a suggestion for improved readabilityThis test case effectively verifies the behavior of
coordinates_subelement
when given invalid 4D coordinates. Good job on covering this important edge case.To improve readability, consider using a dictionary for the function arguments:
def test_coordinates_subelement_exception(self) -> None: obj = Mock() setattr(obj, 'coordinates', [(1.123456, 2.654321, 3.111111, 4.222222)]) # Invalid 4D coordinates element = Mock() with pytest.raises(KMLWriteError): coordinates_subelement( **{ 'obj': obj, 'attr_name': 'coordinates', 'node_name': None, 'element': element, 'precision': None, 'verbosity': None, 'default': None } )This approach makes it easier to add or modify arguments in the future.
tests/containers_test.py (3)
69-77
: LGTM! Consider expanding attribute checks.The test correctly verifies the creation of a
_Container
object and checks some of its attributes. However, to improve coverage, consider adding assertions for theid
andtarget_id
attributes as well.Here's a suggested improvement:
def test_container_creation(self) -> None: container = containers._Container( ns="ns", id="id", target_id="target_id", name="name" ) assert container.ns == "ns" assert container.name == "name" assert container.id == "id" assert container.target_id == "target_id"
78-88
: LGTM! Consider specifying the error message in pytest.raises.The test effectively verifies the behavior of appending features to a container and the error case of appending a container to itself. However, to make the test more robust and specific, consider adding an expected error message to the
pytest.raises
assertion.Here's a suggested improvement:
def test_container_feature_append(self) -> None: container = containers._Container( ns="ns", id="id", target_id="target_id", name="name" ) feature = features._Feature(name="new_feature") assert container.append(feature) is None with pytest.raises(ValueError, match="Cannot append a container to itself"): container.append(container)This change addresses the static analysis hint by specifying an expected error message, making the test more precise.
🧰 Tools
🪛 Ruff
87-87:
pytest.raises(ValueError)
is too broad, set thematch
parameter or use a more specific exception(PT011)
90-96
: LGTM! Consider adding more test cases.The test correctly verifies that
get_style_by_url
returns None for a given style URL. However, to improve coverage and robustness, consider adding more test cases:
- Test with a non-existent style URL.
- Test with a Document that has multiple styles.
- Test the behavior when no style URL is set.
Here's a suggested expansion of the test:
def test_document_container_get_style_url(self) -> None: document = containers.Document( name="Document", ns="ns", style_url="www.styleurl.com" ) assert document.get_style_by_url(style_url="www.styleurl.com") is None assert document.get_style_by_url(style_url="non_existent_url") is None # Add a style to the document style = kml.Style(id="style1") document.append_style(style) assert document.get_style_by_url("#style1") == style # Test with no style URL set document_no_style = containers.Document(name="NoStyleDocument") assert document_no_style.get_style_by_url(style_url="any_url") is NoneThis expansion covers more scenarios and provides a more comprehensive test of the
get_style_by_url
method.tests/helper_test.py (8)
1-14
: Add a module-level docstringPlease add a module-level docstring to describe the purpose of this test file. This will improve code documentation and address the D100 linter warning.
Example:
""" Unit tests for the helper functions in the fastkml library. This module contains test cases for various helper functions, including node_text, float_attribute, enum_attribute, and others. """The import statements and helper class definitions look good.
🧰 Tools
🪛 Ruff
1-1: Missing docstring in public module
(D100)
2-2: Line too long (184 > 88)
(E501)
15-27
: Add type annotation for mock_get_value parameterThe test method looks good and covers a valid scenario. To improve type hinting, please add a type annotation for the
mock_get_value
parameter:def test_node_text(self, mock_get_value: Mock) -> None:This will address the ANN001 linter warning and improve code readability.
🧰 Tools
🪛 Ruff
15-15: Missing type annotation for function argument
mock_get_value
(ANN001)
29-41
: Add type annotation for mock_get_value parameterThe test method for
float_attribute
is well-structured and tests a valid scenario. To improve type hinting, please add a type annotation for themock_get_value
parameter:def test_float_attribute(self, mock_get_value: Mock) -> None:This will address the ANN001 linter warning and improve code readability.
🧰 Tools
🪛 Ruff
29-29: Missing type annotation for function argument
mock_get_value
(ANN001)
43-55
: Add type annotation for mock_get_value parameterThe test method for
enum_attribute
is well-implemented and covers a valid scenario. To improve type hinting, please add a type annotation for themock_get_value
parameter:def test_enum_attribute(self, mock_get_value: Mock) -> None:This will address the ANN001 linter warning and improve code readability.
🧰 Tools
🪛 Ruff
43-43: Missing type annotation for function argument
mock_get_value
(ANN001)
57-71
: Add return type annotationThe test method for
subelement_int_kwarg
is well-structured and tests a valid scenario. To improve type hinting, please add a return type annotation to the method:def test_subelement_int_kwarg(self) -> None:This will address the ANN201 linter warning and improve code readability.
73-87
: Add return type annotationThe test method for
subelement_float_kwarg
is well-implemented and covers a valid scenario. To improve type hinting, please add a return type annotation to the method:def test_subelement_float_kwarg(self) -> None:This will address the ANN201 linter warning and improve code readability.
89-103
: Add type annotation for mock_handle_error parameterThe test method for
attribute_float_kwarg
is well-structured and tests a valid scenario. To improve type hinting, please add a type annotation for themock_handle_error
parameter:def test_attribute_float_kwarg(self, mock_handle_error: Mock) -> None:This will address the ANN001 linter warning and improve code readability.
🧰 Tools
🪛 Ruff
89-89: Missing type annotation for function argument
mock_handle_error
(ANN001)
1-134
: Overall: Well-structured and comprehensive test suiteThis test file provides a thorough set of unit tests for the helper functions in the
fastkml
library. The tests are well-structured, use mocking effectively, and cover various scenarios. To further improve the code quality:
- Add a module-level docstring to describe the purpose of the test file.
- Add missing type annotations for mock parameters and return types as suggested in previous comments.
- Consider addressing the E501 (line too long) warning for line 2 by breaking it into multiple lines or using line continuation.
Great job on improving the test coverage for the FastKML project!
🧰 Tools
🪛 Ruff
1-1: Missing docstring in public module
(D100)
2-2: Line too long (184 > 88)
(E501)
15-15: Missing type annotation for function argument
mock_get_value
(ANN001)
29-29: Missing type annotation for function argument
mock_get_value
(ANN001)
43-43: Missing type annotation for function argument
mock_get_value
(ANN001)
56-56: Missing return type annotation for public function
test_subelement_int_kwarg
Add return type annotation:
None
(ANN201)
72-72: Missing return type annotation for public function
test_subelement_float_kwarg
Add return type annotation:
None
(ANN201)
89-89: Missing type annotation for function argument
mock_handle_error
(ANN001)
tests/geometries/linestring_test.py (1)
41-47
: LGTM: New test method enhances error handling coverage.The
test_geometry_error
method is a valuable addition that verifies the correct handling of incompatible geometry and coordinates in the LineString constructor.Consider adding a more descriptive error message to the
pytest.raises
context manager for better test failure diagnostics:with pytest.raises(GeometryError, match="Expected LineString geometry, got Point"): LineString(geometry=p, kml_coordinates=q)tests/kml_test.py (3)
179-187
: LGTM: Well-structured test for etree_element method. Consider adding type annotation.The new test method
test_kml_etree_element
is well-structured and effectively tests theetree_element
method of the KML object. The use of mocking is appropriate for isolating the test.Consider adding a type annotation for the
mock_etree
parameter:def test_kml_etree_element(self, mock_etree: MagicMock) -> None:This will improve type checking and code readability.
🧰 Tools
🪛 Ruff
180-180: Missing type annotation for function argument
mock_etree
(ANN001)
187-187: Line too long (120 > 88)
(E501)
189-195
: LGTM: Good test for append method. Consider specifying the exception message.The new test method
test_kml_append
effectively verifies that appending a KML document to itself raises aValueError
. This is a good edge case to test.To make the test more robust, consider specifying the expected error message in the
pytest.raises
call:with pytest.raises(ValueError, match="Cannot append a KML document to itself"): doc.append(doc)This ensures that not only the correct exception type is raised but also that the error message is as expected.
🧰 Tools
🪛 Ruff
194-194:
pytest.raises(ValueError)
is too broad, set thematch
parameter or use a more specific exception(PT011)
179-203
: Great improvements to test coverage. Consider adding more edge cases.The additions to this test file significantly enhance the test coverage for the KML class. New tests cover important aspects such as:
- Parsing with different namespaces
- etree element creation
- Append method behavior
These additions align well with the PR objective of improving test coverage.
To further improve the test suite, consider:
- Adding tests for other edge cases, such as parsing malformed KML files.
- Testing the KML class with larger, more complex KML structures.
- Adding performance tests for parsing large KML files.
These additions would make the test suite even more comprehensive and robust.
🧰 Tools
🪛 Ruff
180-180: Missing type annotation for function argument
mock_etree
(ANN001)
187-187: Line too long (120 > 88)
(E501)
194-194:
pytest.raises(ValueError)
is too broad, set thematch
parameter or use a more specific exception(PT011)
tests/geometries/point_test.py (1)
43-49
: LGTM: New test method enhances error handling coverage.The
test_geometry_error
method is a valuable addition to the test suite. It verifies that thePoint
class correctly raises aGeometryError
when incompatible geometry and coordinate objects are provided.Consider adding a brief comment explaining why combining
geo.Point
andCoordinates
is expected to raise aGeometryError
. This would enhance the test's readability and provide context for future maintainers. For example:def test_geometry_error(self) -> None: """Test GeometryError when incompatible geometry and coordinates are provided.""" p = geo.Point(1, 2) q = Coordinates(ns="ns") # Combining geo.Point and Coordinates should raise a GeometryError with pytest.raises(GeometryError): Point(geometry=p, kml_coordinates=q)tests/geometries/polygon_test.py (1)
132-138
: LGTM: New test method added correctly.The new test method
test_geometry_error
is well-structured and correctly tests for theGeometryError
exception when creating aPolygon
with invalid parameters. This is an important edge case to cover.Consider expanding the docstring to provide more context about the specific scenario being tested. For example:
def test_geometry_error(self) -> None: """Test that a GeometryError is raised when creating a Polygon with both a geometry and an outer boundary."""tests/overlays_test.py (1)
252-253
: LGTM! Consider adding more specific assertions.The new assertions are a good addition to ensure that
view_volume
andimage_pyramid
attributes are properly initialized. They complement the existing checks in this comprehensive test case.To make the test even more robust, consider adding more specific assertions for these attributes. For example:
assert photo_overlay.view_volume.left_fov == -60 assert photo_overlay.view_volume.right_fov == 60 assert photo_overlay.view_volume.bottom_fov == -45 assert photo_overlay.view_volume.top_fov == 45 assert photo_overlay.view_volume.near == 1 assert photo_overlay.image_pyramid.tile_size == 256 assert photo_overlay.image_pyramid.max_width == 2048 assert photo_overlay.image_pyramid.max_height == 2048 assert photo_overlay.image_pyramid.grid_origin == enums.GridOrigin.lower_leftThis would provide more detailed validation of these complex attributes.
tests/geometries/multigeometry_test.py (1)
294-300
: LGTM: Good addition of error handling testThis new test method effectively verifies that
MultiGeometry
raises aGeometryError
when given invalid input. The use of pytest'sraises
context manager is a good practice for testing exceptions.Consider adding a more descriptive error message to the
pytest.raises
call to make the test's intention clearer:with pytest.raises(GeometryError, match="Expected error message"): MultiGeometry(geometry=p, kml_geometries=q)Replace "Expected error message" with the actual error message you expect to be raised.
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📒 Files selected for processing (13)
- tests/containers_test.py (2 hunks)
- tests/geometries/boundaries_test.py (3 hunks)
- tests/geometries/functions_test.py (1 hunks)
- tests/geometries/linestring_test.py (2 hunks)
- tests/geometries/multigeometry_test.py (2 hunks)
- tests/geometries/point_test.py (2 hunks)
- tests/geometries/polygon_test.py (2 hunks)
- tests/gx_test.py (2 hunks)
- tests/helper_test.py (1 hunks)
- tests/kml_test.py (2 hunks)
- tests/overlays_test.py (1 hunks)
- tests/styles_test.py (1 hunks)
- tests/views_test.py (1 hunks)
🧰 Additional context used
🪛 Ruff
tests/containers_test.py
87-87:
pytest.raises(ValueError)
is too broad, set thematch
parameter or use a more specific exception(PT011)
tests/geometries/functions_test.py
1-1: Missing docstring in public module
(D100)
8-8: First line should end with a period
Add period
(D400)
8-8: First line should end with a period, question mark, or exclamation point
Add closing punctuation
(D415)
11-11: Missing type annotation for function argument
mock_to_string
(ANN001)
11-11: Unused method argument:
mock_to_string
(ARG002)
14-14: Line too long (94 > 88)
(E501)
17-17: Missing type annotation for function argument
mock_to_string
(ANN001)
17-17: Unused method argument:
mock_to_string
(ARG002)
19-19: Line too long (106 > 88)
(E501)
23-23: Line too long (94 > 88)
(E501)
tests/helper_test.py
1-1: Missing docstring in public module
(D100)
2-2: Line too long (184 > 88)
(E501)
15-15: Missing type annotation for function argument
mock_get_value
(ANN001)
29-29: Missing type annotation for function argument
mock_get_value
(ANN001)
43-43: Missing type annotation for function argument
mock_get_value
(ANN001)
56-56: Missing return type annotation for public function
test_subelement_int_kwarg
Add return type annotation:
None
(ANN201)
72-72: Missing return type annotation for public function
test_subelement_float_kwarg
Add return type annotation:
None
(ANN201)
89-89: Missing type annotation for function argument
mock_handle_error
(ANN001)
tests/kml_test.py
180-180: Missing type annotation for function argument
mock_etree
(ANN001)
187-187: Line too long (120 > 88)
(E501)
194-194:
pytest.raises(ValueError)
is too broad, set thematch
parameter or use a more specific exception(PT011)
🔇 Additional comments (22)
tests/geometries/functions_test.py (1)
1-60
: Overall assessment: Good test coverage with minor improvements neededThis new test file provides a comprehensive suite of tests for geometry-related functions in the
fastkml
library. The tests cover important scenarios including error handling and coordinate processing.Key points:
- Good use of mocking and patching to isolate tests.
- Effective coverage of both normal and edge cases.
- Clear and logical test structure.
Areas for improvement:
- Add a module-level docstring.
- Remove unused mock arguments in the first two tests.
- Consider using a dictionary for function arguments in
test_coordinates_subelement_exception
for improved readability.- Fix the discrepancy in
test_coordinates_subelement_getattr
to ensure the correct object is being tested.Overall, these tests will significantly contribute to the reliability of the
fastkml
library's geometry functions. After addressing the mentioned issues, the test suite will be even more robust and maintainable.🧰 Tools
🪛 Ruff
1-1: Missing docstring in public module
(D100)
8-8: First line should end with a period
Add period
(D400)
8-8: First line should end with a period, question mark, or exclamation point
Add closing punctuation
(D415)
11-11: Missing type annotation for function argument
mock_to_string
(ANN001)
11-11: Unused method argument:
mock_to_string
(ARG002)
14-14: Line too long (94 > 88)
(E501)
17-17: Missing type annotation for function argument
mock_to_string
(ANN001)
17-17: Unused method argument:
mock_to_string
(ARG002)
19-19: Line too long (106 > 88)
(E501)
23-23: Line too long (94 > 88)
(E501)
tests/containers_test.py (1)
Line range hint
20-97
: Overall, great additions to the test suite!The new test methods significantly improve the coverage of container functionality in the
fastkml
library. They test important aspects such as container creation, feature appending, and style URL retrieval. The suggested improvements will further enhance the robustness and comprehensiveness of these tests.Great job on improving the test coverage! These additions will help ensure the reliability of the container-related features in the library.
🧰 Tools
🪛 Ruff
87-87:
pytest.raises(ValueError)
is too broad, set thematch
parameter or use a more specific exception(PT011)
tests/helper_test.py (1)
106-134
: LGTM: Well-structured test methodsThe test methods for
subelement_enum_kwarg
andattribute_enum_kwarg
are well-implemented and cover valid scenarios. The mocking is done correctly, and the assertions are appropriate. Good job on including type annotations for these methods.tests/geometries/boundaries_test.py (1)
19-20
: LGTM: Import statement added correctly.The import of
GeometryError
fromfastkml.exceptions
is necessary for the new test methods and is placed appropriately with other imports.tests/geometries/linestring_test.py (3)
24-25
: LGTM: Import statements updated appropriately.The addition of
GeometryError
andCoordinates
imports aligns with the new test method and enhances the overall test coverage.
40-40
: LGTM: Improved readability with proper spacing.The added blank line between test methods enhances code readability and adheres to PEP 8 style guidelines.
Line range hint
1-291
: Overall assessment: Changes improve test coverage and maintain code quality.The modifications to this file, including the new imports, the additional test method, and the improved spacing, all contribute positively to the PR's objective of enhancing test coverage. The changes are well-structured and maintain the existing code quality standards.
tests/kml_test.py (2)
20-23
: LGTM: New imports are appropriate for the added tests.The addition of
pytest
andpatch
fromunittest.mock
is appropriate for the new test methods. These imports enable better testing capabilities, including exception handling and mocking.
197-203
: LGTM: Good addition of test for parsing KML with "None" namespace.The new test class
TestParseKMLNone
and its methodtest_kml_parse
effectively verify the behavior of parsing a KML file with a "None" namespace. This is a good edge case to test and ensures that theKML.parse
method handles different namespace scenarios correctly.tests/geometries/point_test.py (2)
23-25
: LGTM: Import statements updated appropriately.The addition of
GeometryError
to the import statement and the new import forCoordinates
are consistent with the requirements of the new test method. These changes enhance the test file's capability to handle geometry-related errors and coordinate objects.
Line range hint
1-50
: Overall assessment: Excellent addition to the test suite.The changes in this file align well with the PR objective of improving test coverage. The new test method for
GeometryError
enhances the robustness of thePoint
class tests. The code is well-structured, follows best practices, and contributes to the overall quality of the test suite.tests/views_test.py (3)
212-212
: LGTM! Improved test coverage for Region's LOD.The added assertion
assert region.lod.__bool__() is True
enhances the test by verifying that thelod
attribute of theregion
object is not only present but also evaluates toTrue
. This ensures that theLod
object contains valid data, strengthening the overall test coverage for theRegion
class.
Line range hint
253-253
: LGTM! Improved test documentation.The updated comment "Region object can be initialized with empty LatLonAltBox object." provides a clearer and more accurate description of the test's purpose. This change enhances the readability and maintainability of the test suite by explicitly stating what aspect of the
Region
class is being tested.
Line range hint
1-283
: Summary: Enhancements to test coverage and documentationThe changes in this file contribute positively to the PR's objective of improving test coverage. The additional assertion in
test_region_with_all_optional_parameters
strengthens the validation of theRegion
class, while the updated comment intest_initialized_with_empty_lat_lon_alt_box
improves the clarity of the test's purpose. These modifications, although small, significantly enhance the quality and maintainability of the test suite.tests/geometries/polygon_test.py (2)
20-20
: LGTM: Import statement added correctly.The new import statement for
GeometryError
is correctly placed and necessary for the new test method.
Line range hint
19-138
: Overall assessment: Changes improve test coverage as intended.The additions to this file, including the new import statement and the
test_geometry_error
method, contribute positively to the PR's objective of improving test coverage. The new test case covers an important edge case for thePolygon
class, enhancing the robustness of the test suite.tests/geometries/multigeometry_test.py (2)
18-19
: LGTM: Good addition of imports for improved testingThe addition of
pytest
andGeometryError
imports enhances the testing capabilities. Using pytest is a good practice, and importingGeometryError
allows for more specific error handling tests.
Line range hint
1-437
: Overall assessment: Excellent improvements to test coverageThe changes in this file significantly enhance the test suite for the
MultiGeometry
class. The addition of error handling tests and the use of pytest improve the robustness of the test coverage. These changes align well with the PR objectives of improving test coverage for the FastKML project.Great job on these improvements!
tests/gx_test.py (3)
54-59
: LGTM: New test method added to verify Track initializationThe new test method
test_track_etree_element
is a good addition. It verifies that a newly createdTrack
instance maintains an emptytrack_items
list after callingetree_element()
. This helps ensure the integrity of theTrack
class implementation.
340-341
: LGTM: New assertion added to verify MultiTrack truthinessThe new assertion
assert mt.__bool__() is True
is a valuable addition to thetest_from_multilinestring
method. It verifies that a non-emptyMultiTrack
instance evaluates toTrue
when converted to a boolean, ensuring the correct implementation of the__bool__
method.
54-59
: Overall assessment: Improved test coverageThe changes in this file enhance the test coverage of the
fastkml
library. Both additions (the newtest_track_etree_element
method and the assertion intest_from_multilinestring
) are well-implemented and contribute to verifying the correct behavior of theTrack
andMultiTrack
classes. These changes align well with the PR objective of improving test coverage.Also applies to: 340-341
tests/styles_test.py (1)
613-617
: LGTM! Good addition of a test case for defaultStyleMap
behavior.This test case is a valuable addition as it verifies the default behavior of
StyleMap
when instantiated without parameters. It ensures that bothnormal
andhighlight
attributes areNone
by default, which is important for maintaining consistent behavior in edge cases.
tests/geometries/functions_test.py
Outdated
def test_coordinates_subelement_getattr(self) -> None: | ||
obj = Mock() | ||
setattr(obj, 'coordinates', [(1.123456, 2.654321), (3.123456, 4.654321)]) | ||
|
||
element = Mock() | ||
|
||
precision = 4 | ||
attr_name = 'coordinates' | ||
|
||
assert coordinates_subelement( | ||
obj=None, | ||
attr_name=attr_name, | ||
node_name=None, | ||
element=element, | ||
precision=precision, | ||
verbosity=None, | ||
default=None | ||
) is None |
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Fix discrepancy between setup and function call
The test case is well-structured, but there's a discrepancy between the setup and the function call that needs to be addressed.
The obj
is set up with valid coordinates, but it's not used in the coordinates_subelement
function call. Instead, None
is passed as the obj
argument. This doesn't test the intended behavior. To fix this, replace:
assert coordinates_subelement(
obj=None,
# ... other arguments ...
) is None
with:
assert coordinates_subelement(
obj=obj,
# ... other arguments ...
) is None
This change ensures that the test actually uses the mock object with the valid coordinates you've set up.
tests/geometries/boundaries_test.py
Outdated
def test_inner_boundry_geometry_error(self) -> None: | ||
"""Test GeometryError.""" | ||
p = geo.Point(1, 2) | ||
coords = ((1, 2), (2, 0), (0, 0), (1, 2)) | ||
|
||
with pytest.raises(GeometryError): | ||
InnerBoundaryIs( | ||
kml_geometry=LinearRing(kml_coordinates=Coordinates(coords=coords)), | ||
geometry=p | ||
) |
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🛠️ Refactor suggestion
Fix typo in method name, improve docstring, and consider refactoring.
This test method is a good addition, but there are some improvements to be made:
- Fix the typo in the method name: "boundry" should be "boundary".
- The docstring could be more descriptive to explain the purpose of the test.
- Consider refactoring to reduce code duplication with
test_outer_boundary_geometry_error
.
Here's a suggested improvement for the method signature and docstring:
- def test_inner_boundry_geometry_error(self) -> None:
- """Test GeometryError."""
+ def test_inner_boundary_geometry_error(self) -> None:
+ """Test that InnerBoundaryIs raises GeometryError with invalid geometry."""
To reduce code duplication, consider creating a helper method that both test_outer_boundary_geometry_error
and test_inner_boundary_geometry_error
can use. For example:
def _test_boundary_geometry_error(self, boundary_class):
p = geo.Point(1, 2)
coords = ((1, 2), (2, 0), (0, 0), (1, 2))
with pytest.raises(GeometryError):
boundary_class(
kml_geometry=LinearRing(kml_coordinates=Coordinates(coords=coords)),
geometry=p
)
def test_outer_boundary_geometry_error(self):
"""Test that OuterBoundaryIs raises GeometryError with invalid geometry."""
self._test_boundary_geometry_error(OuterBoundaryIs)
def test_inner_boundary_geometry_error(self):
"""Test that InnerBoundaryIs raises GeometryError with invalid geometry."""
self._test_boundary_geometry_error(InnerBoundaryIs)
This refactoring would make the tests more maintainable and reduce redundancy.
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implemented
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@apurvabanka, thank you for implementing the changes!
(^.^/)
If you found this review helpful, would you consider giving us a shout-out on X?
Thank you for using CodeRabbit!
tests/geometries/boundaries_test.py
Outdated
def test_outer_boundry_geometry_error(self) -> None: | ||
"""Test GeometryError.""" | ||
p = geo.Point(1, 2) | ||
coords = ((1, 2), (2, 0), (0, 0), (1, 2)) | ||
|
||
with pytest.raises(GeometryError): | ||
OuterBoundaryIs( | ||
kml_geometry=LinearRing(kml_coordinates=Coordinates(coords=coords)), | ||
geometry=p | ||
) |
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Fix typo in method name and improve docstring.
The new test method is a good addition, but there are a couple of improvements to be made:
- Fix the typo in the method name: "boundry" should be "boundary".
- The docstring could be more descriptive to explain the purpose of the test.
Here's a suggested improvement:
- def test_outer_boundry_geometry_error(self) -> None:
- """Test GeometryError."""
+ def test_outer_boundary_geometry_error(self) -> None:
+ """Test that OuterBoundaryIs raises GeometryError with invalid geometry."""
The rest of the test implementation looks good and correctly checks for the GeometryError
exception.
📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
def test_outer_boundry_geometry_error(self) -> None: | |
"""Test GeometryError.""" | |
p = geo.Point(1, 2) | |
coords = ((1, 2), (2, 0), (0, 0), (1, 2)) | |
with pytest.raises(GeometryError): | |
OuterBoundaryIs( | |
kml_geometry=LinearRing(kml_coordinates=Coordinates(coords=coords)), | |
geometry=p | |
) | |
def test_outer_boundary_geometry_error(self) -> None: | |
"""Test that OuterBoundaryIs raises GeometryError with invalid geometry.""" | |
p = geo.Point(1, 2) | |
coords = ((1, 2), (2, 0), (0, 0), (1, 2)) | |
with pytest.raises(GeometryError): | |
OuterBoundaryIs( | |
kml_geometry=LinearRing(kml_coordinates=Coordinates(coords=coords)), | |
geometry=p | |
) |
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implemented
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@apurvabanka, thank you for making the changes!
(^.^)/
If you found this review helpful, would you consider giving us a shout-out on X?
Thank you for using CodeRabbit!
Preparing review... |
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (3)
tests/containers_test.py (3)
69-77
: LGTM! Consider expanding assertions for comprehensive testing.The test method correctly creates a
_Container
object and verifies some of its attributes. However, to ensure all parameters are correctly set, consider adding assertions for 'id' and 'target_id' as well.Here's a suggested improvement:
def test_container_creation(self) -> None: container = containers._Container( ns="ns", id="id", target_id="target_id", name="name" ) assert container.ns == "ns" assert container.name == "name" assert container.id == "id" assert container.target_id == "target_id"
78-88
: LGTM! Consider implementing suggested improvements.The test method correctly verifies the append behavior and error handling. However, there are a couple of improvements that can be made:
- As suggested in the past review, add an assertion to check if the feature was actually appended to the container.
- Address the static analysis hint by either using a more specific exception or setting the 'match' parameter in pytest.raises().
Here's a suggested improvement incorporating both points:
def test_container_feature_append(self) -> None: container = containers._Container( ns="ns", id="id", target_id="target_id", name="name" ) feature = features._Feature(name="new_feature") assert container.append(feature) is None assert feature in container.features # Check if feature was actually appended with pytest.raises(ValueError, match="Cannot append a container to itself"): container.append(container)This improvement ensures that the feature is actually appended and provides a more specific error message for the ValueError.
🧰 Tools
🪛 Ruff
87-87:
pytest.raises(ValueError)
is too broad, set thematch
parameter or use a more specific exception(PT011)
90-96
: LGTM! Consider expanding test coverage and clarifying method name.The test method correctly verifies that
get_style_by_url
returns None when no style is present. However, there are a couple of improvements that can be made:
- Add a test case where a style is actually present to ensure the method works correctly in both scenarios.
- Consider renaming the test method to
test_document_container_get_style_by_url
to accurately reflect the method being tested.Here's a suggested improvement:
def test_document_container_get_style_by_url(self) -> None: document = containers.Document( name="Document", ns="ns", style_url="www.styleurl.com" ) assert document.get_style_by_url(style_url="www.styleurl.com") is None # Add a style to the document style = kml.Style(id="style_id") document.append_style(style) # Test retrieving an existing style assert document.get_style_by_url(style_url="#style_id") == style # Test retrieving a non-existent style assert document.get_style_by_url(style_url="#non_existent_style") is NoneThis improvement tests both the case where no style is present and the case where a style exists, providing more comprehensive coverage of the
get_style_by_url
method.
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- tests/containers_test.py (2 hunks)
🧰 Additional context used
🪛 Ruff
tests/containers_test.py
87-87:
pytest.raises(ValueError)
is too broad, set thematch
parameter or use a more specific exception(PT011)
Preparing review... |
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Actionable comments posted: 3
🧹 Outside diff range and nitpick comments (9)
tests/geometries/functions_test.py (3)
1-10
: Improve documentation with proper docstringsPlease consider adding a module-level docstring at the beginning of the file to describe its purpose. Additionally, update the class docstring to end with a period for better readability and to comply with documentation standards.
Here's a suggested improvement for the class docstring:
class TestGeometryFunctions(StdLibrary): """Test functions in Geometry module."""🧰 Tools
🪛 Ruff
1-1: Missing docstring in public module
(D100)
10-10: First line should end with a period
Add period
(D400)
10-10: First line should end with a period, question mark, or exclamation point
Add closing punctuation
(D415)
12-20
: Add type annotation and consider removing unused parameterThe test method looks good, but there are a couple of minor improvements we can make:
- Add a type annotation for the
mock_to_string
parameter.- Since
mock_to_string
is unused, consider removing it if it's not needed for the test setup.Here's a suggested improvement:
from unittest.mock import Mock, patch @patch('fastkml.config.etree.tostring') def test_handle_invalid_geometry_error_true(self, mock_to_string: Mock) -> None: mock_element = Mock() with pytest.raises(KMLParseError): handle_invalid_geometry_error( error=ValueError, element=mock_element, strict=True )If
mock_to_string
is not needed at all, you can simplify further:@patch('fastkml.config.etree.tostring') def test_handle_invalid_geometry_error_true(self) -> None: mock_element = Mock() with pytest.raises(KMLParseError): handle_invalid_geometry_error( error=ValueError, element=mock_element, strict=True )🧰 Tools
🪛 Ruff
13-13: Missing type annotation for function argument
mock_to_string
(ANN001)
13-13: Unused method argument:
mock_to_string
(ARG002)
22-29
: Add type annotation and consider removing unused parameterSimilar to the previous test method, we can make the following improvements:
- Add a type annotation for the
mock_to_string
parameter.- Consider removing the unused
mock_to_string
parameter if it's not needed for the test setup.Here's a suggested improvement:
@patch('fastkml.config.etree.tostring') def test_handle_invalid_geometry_error_false(self, mock_to_string: Mock) -> None: mock_element = Mock() assert handle_invalid_geometry_error( error=ValueError, element=mock_element, strict=False ) is NoneIf
mock_to_string
is not needed at all, you can simplify further:@patch('fastkml.config.etree.tostring') def test_handle_invalid_geometry_error_false(self) -> None: mock_element = Mock() assert handle_invalid_geometry_error( error=ValueError, element=mock_element, strict=False ) is None🧰 Tools
🪛 Ruff
23-23: Missing type annotation for function argument
mock_to_string
(ANN001)
23-23: Unused method argument:
mock_to_string
(ARG002)
tests/containers_test.py (1)
69-77
: Enhance test coverage for container creationThe test verifies the
ns
andname
attributes of the created_Container
object. Consider extending the test to verify all attributes, includingid
andtarget_id
, for comprehensive coverage.Here's a suggested improvement:
def test_container_creation(self) -> None: container = containers._Container( ns="ns", id="id", target_id="target_id", name="name" ) assert container.ns == "ns" assert container.name == "name" assert container.id == "id" assert container.target_id == "target_id"tests/helper_test.py (3)
1-11
: Add a module-level docstring for better documentation.Consider adding a module-level docstring at the beginning of the file to describe the purpose of these tests and provide an overview of what's being tested.
Example:
""" This module contains unit tests for the helper functions in the fastkml library. It tests various utility functions related to attribute handling, enum operations, and value conversions used throughout the FastKML project. """🧰 Tools
🪛 Ruff
1-1: Missing docstring in public module
(D100)
14-15
: Add a docstring to the Node class.The purpose of the
Node
class is not immediately clear. Consider adding a docstring to explain its role in the tests.Example:
class Node: """ A simple class representing a node with text content. Used as a mock object in tests to simulate XML elements. """ text: str
18-19
: Consider expanding the Color enum for more comprehensive testing.The
Color
enum currently only contains one color (RED). To ensure more thorough testing of enum-related functions, consider adding more colors.Example:
class Color(Enum): RED = 1 GREEN = 2 BLUE = 3This would allow testing of multiple enum values and edge cases in the helper functions.
tests/kml_test.py (2)
179-192
: LGTM: Well-structured test method foretree_element
.The new test method
test_kml_etree_element
is well-implemented and effectively verifies the behavior of theetree_element
method. The use of mocking is appropriate for isolating the test.Consider adding a type annotation for the
mock_etree
parameter:def test_kml_etree_element(self, mock_etree: MagicMock) -> None:Don't forget to import
MagicMock
fromunittest.mock
if you add this type annotation.🧰 Tools
🪛 Ruff
180-180: Missing type annotation for function argument
mock_etree
(ANN001)
194-200
: LGTM: Good test for edge case inappend
method.The
test_kml_append
method effectively tests an important edge case where appending a KML document to itself should raise aValueError
.To make the test more specific and robust, consider adding a
match
parameter to thepytest.raises
call:with pytest.raises(ValueError, match="Cannot append a KML document to itself"): doc.append(doc)This ensures that not only is a
ValueError
raised, but it also contains the expected error message.🧰 Tools
🪛 Ruff
199-199:
pytest.raises(ValueError)
is too broad, set thematch
parameter or use a more specific exception(PT011)
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📒 Files selected for processing (10)
- tests/containers_test.py (2 hunks)
- tests/geometries/boundaries_test.py (3 hunks)
- tests/geometries/functions_test.py (1 hunks)
- tests/geometries/linestring_test.py (2 hunks)
- tests/geometries/multigeometry_test.py (2 hunks)
- tests/geometries/point_test.py (2 hunks)
- tests/geometries/polygon_test.py (2 hunks)
- tests/gx_test.py (2 hunks)
- tests/helper_test.py (1 hunks)
- tests/kml_test.py (2 hunks)
🚧 Files skipped from review as they are similar to previous changes (6)
- tests/geometries/boundaries_test.py
- tests/geometries/linestring_test.py
- tests/geometries/multigeometry_test.py
- tests/geometries/point_test.py
- tests/geometries/polygon_test.py
- tests/gx_test.py
🧰 Additional context used
🪛 Ruff
tests/containers_test.py
88-88:
pytest.raises(ValueError)
is too broad, set thematch
parameter or use a more specific exception(PT011)
tests/geometries/functions_test.py
1-1: Missing docstring in public module
(D100)
10-10: First line should end with a period
Add period
(D400)
10-10: First line should end with a period, question mark, or exclamation point
Add closing punctuation
(D415)
13-13: Missing type annotation for function argument
mock_to_string
(ANN001)
13-13: Unused method argument:
mock_to_string
(ARG002)
23-23: Missing type annotation for function argument
mock_to_string
(ANN001)
23-23: Unused method argument:
mock_to_string
(ARG002)
tests/helper_test.py
1-1: Missing docstring in public module
(D100)
24-24: Missing type annotation for function argument
mock_get_value
(ANN001)
38-38: Missing type annotation for function argument
mock_get_value
(ANN001)
52-52: Missing type annotation for function argument
mock_get_value
(ANN001)
65-65: Missing return type annotation for public function
test_subelement_int_kwarg
Add return type annotation:
None
(ANN201)
81-81: Missing return type annotation for public function
test_subelement_float_kwarg
Add return type annotation:
None
(ANN201)
98-98: Missing type annotation for function argument
mock_handle_error
(ANN001)
tests/kml_test.py
180-180: Missing type annotation for function argument
mock_etree
(ANN001)
199-199:
pytest.raises(ValueError)
is too broad, set thematch
parameter or use a more specific exception(PT011)
🔇 Additional comments (7)
tests/geometries/functions_test.py (3)
31-52
: Well-structured test for invalid coordinatesThis test method is well-implemented and covers an important edge case. It correctly sets up a mock object with invalid 4D coordinates and verifies that a
KMLWriteError
is raised when processing these coordinates.The test effectively ensures that the
coordinates_subelement
function handles invalid input as expected.
1-71
: Overall assessment of the test fileThis test file provides good coverage for the geometry-related functions in the
fastkml
library. It includes tests for both normal operation and edge cases, which is commendable. However, there are a few areas for improvement:
- Add module and class-level docstrings for better documentation.
- Address type annotations and unused parameters in the first two test methods.
- Fix the discrepancy in the
test_coordinates_subelement_getattr
method to ensure it's testing the intended behavior.Addressing these points will enhance the overall quality and effectiveness of your test suite.
Despite the issues mentioned, the core functionality of the tests is sound. Once these improvements are made, this will be a robust set of tests for the geometry functions.
🧰 Tools
🪛 Ruff
1-1: Missing docstring in public module
(D100)
10-10: First line should end with a period
Add period
(D400)
10-10: First line should end with a period, question mark, or exclamation point
Add closing punctuation
(D415)
13-13: Missing type annotation for function argument
mock_to_string
(ANN001)
13-13: Unused method argument:
mock_to_string
(ARG002)
23-23: Missing type annotation for function argument
mock_to_string
(ANN001)
23-23: Unused method argument:
mock_to_string
(ARG002)
54-71
:⚠️ Potential issueFix discrepancy between setup and function call
There's an important issue in this test method that needs to be addressed. The test sets up a mock object with valid coordinates, but then passes
None
as theobj
parameter in thecoordinates_subelement
function call. This doesn't test the intended behavior.To fix this, replace:
assert coordinates_subelement( obj=None, # ... other arguments ... ) is Nonewith:
assert coordinates_subelement( obj=obj, # ... other arguments ... ) is NoneThis change ensures that the test actually uses the mock object with the valid coordinates you've set up, allowing for a proper test of the
coordinates_subelement
function's behavior with valid input.tests/helper_test.py (1)
1-141
: LGTM with minor suggestions for improvement.Overall, this test file is well-structured and provides good coverage for the helper functions in the
fastkml
library. The use of mocking and various test scenarios is commendable. To further improve the file:
- Add a module-level docstring explaining the purpose of these tests.
- Enhance the
Node
andColor
classes with docstrings and additional enum values respectively.- Add type annotations to test method arguments.
- Expand test coverage in some methods to include more edge cases.
- Improve assertions in certain test methods to verify not just the result but also the correct usage of mocked objects.
These changes will enhance the documentation, type safety, and overall robustness of the test suite.
🧰 Tools
🪛 Ruff
1-1: Missing docstring in public module
(D100)
24-24: Missing type annotation for function argument
mock_get_value
(ANN001)
38-38: Missing type annotation for function argument
mock_get_value
(ANN001)
52-52: Missing type annotation for function argument
mock_get_value
(ANN001)
65-65: Missing return type annotation for public function
test_subelement_int_kwarg
Add return type annotation:
None
(ANN201)
81-81: Missing return type annotation for public function
test_subelement_float_kwarg
Add return type annotation:
None
(ANN201)
98-98: Missing type annotation for function argument
mock_handle_error
(ANN001)
tests/kml_test.py (3)
20-26
: LGTM: New imports are correctly added.The new imports for
unittest.mock.patch
,pytest
, andfastkml.config
are necessary for the newly added test methods and are correctly placed at the top of the file.
203-209
: LGTM: New test class for parsing KML with 'None' namespace.The
TestParseKMLNone
class and itstest_kml_parse
method effectively verify the behavior of parsing a KML file with a specified namespace of "None". This is a good addition to ensure correct handling of different namespace scenarios.
179-209
: Great job on improving test coverage!The additions to this file significantly enhance the test coverage for the KML class. The new tests cover important aspects such as:
- XML element generation with correct namespaces
- Error handling for invalid operations (appending a document to itself)
- Parsing KML with a 'None' namespace
These additions align well with the PR objective of improving test coverage and help ensure the robustness of the FastKML library.
🧰 Tools
🪛 Ruff
180-180: Missing type annotation for function argument
mock_etree
(ANN001)
199-199:
pytest.raises(ValueError)
is too broad, set thematch
parameter or use a more specific exception(PT011)
tests/containers_test.py
Outdated
def test_container_feature_append(self) -> None: | ||
container = containers._Container( | ||
ns="ns", | ||
id="id", | ||
target_id="target_id", | ||
name="name" | ||
) | ||
feature = features._Feature(name="new_feature") | ||
assert container.append(feature) is None | ||
with pytest.raises(ValueError): | ||
container.append(container) |
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🛠️ Refactor suggestion
Improve test_container_feature_append method
- Consider adding an assertion to verify that the feature was actually appended to the container, as suggested in the previous review.
- The
pytest.raises(ValueError)
assertion is too broad. Specify the expected error message using thematch
parameter for more precise testing.
Here's a suggested improvement:
def test_container_feature_append(self) -> None:
container = containers._Container(
ns="ns",
id="id",
target_id="target_id",
name="name"
)
feature = features._Feature(name="new_feature")
assert container.append(feature) is None
assert feature in container.features # Verify the feature was appended
with pytest.raises(ValueError, match="Cannot append a container to itself"):
container.append(container)
🧰 Tools
🪛 Ruff
88-88:
pytest.raises(ValueError)
is too broad, set thematch
parameter or use a more specific exception(PT011)
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implemented
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@apurvabanka, great! Glad to hear that you've implemented the suggested improvements.
(_/)
( ^.^)
('')('')
If you found this review helpful, would you consider giving us a shout-out on X?
Thank you for using CodeRabbit!
def test_document_container_get_style_url(self) -> None: | ||
document = containers.Document( | ||
name="Document", | ||
ns="ns", | ||
style_url="www.styleurl.com" | ||
) | ||
assert document.get_style_by_url(style_url="www.styleurl.com") is None |
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🛠️ Refactor suggestion
Expand test coverage for get_style_by_url method
The current test verifies that get_style_by_url
returns None
for a valid style_url. However, it's unclear if this is the expected behavior. Consider the following improvements:
- Clarify why
get_style_by_url
returnsNone
for a valid style_url. Is this the intended behavior? - Add a test case for an invalid style_url to ensure the method behaves correctly in both scenarios.
- If possible, add a test case where
get_style_by_url
returns a non-None value to demonstrate when it successfully retrieves a style.
Here's a suggested improvement:
def test_document_container_get_style_url(self) -> None:
document = containers.Document(
name="Document",
ns="ns",
style_url="www.styleurl.com"
)
# Assuming None is the correct return value for a valid but non-existent style
assert document.get_style_by_url(style_url="www.styleurl.com") is None
# Test with an invalid style_url
assert document.get_style_by_url(style_url="invalid_url") is None
# If possible, add a test case where get_style_by_url returns a non-None value
# This might require setting up a style in the document first
# document.styles.append(some_style)
# assert document.get_style_by_url(style_url="some_style_url") is not None
element="ele", | ||
attr_name="a", | ||
node_name="n", | ||
precision=0, | ||
verbosity=0, | ||
default="default" | ||
) | ||
assert res is None | ||
|
||
@patch('fastkml.helpers.get_value') | ||
def test_enum_attribute(self, mock_get_value) -> None: | ||
mock_get_value.return_value = None | ||
res = enum_attribute( | ||
obj=None, | ||
element="ele", | ||
attr_name="a", | ||
node_name="n", | ||
precision=0, | ||
verbosity=0, | ||
default="default" | ||
) | ||
assert res is None | ||
|
||
def test_subelement_int_kwarg(self): | ||
node = Node() | ||
node.text = None | ||
element = Mock() | ||
element.find.return_value = node | ||
res = subelement_int_kwarg( | ||
element=element, | ||
ns="ns", | ||
name_spaces="name", | ||
node_name="node", | ||
kwarg="kwarg", | ||
classes=None, | ||
strict=False | ||
) | ||
assert res == {} | ||
|
||
def test_subelement_float_kwarg(self): | ||
node = Node() | ||
node.text = None | ||
element = Mock() | ||
element.find.return_value = node | ||
res = subelement_float_kwarg( | ||
element=element, | ||
ns="ns", | ||
name_spaces="name", | ||
node_name="node", | ||
kwarg="kwarg", | ||
classes=None, | ||
strict=False | ||
) | ||
assert res == {} | ||
|
||
@patch('fastkml.helpers.handle_error') | ||
def test_attribute_float_kwarg(self, mock_handle_error) -> None: | ||
element = Mock() | ||
element.get.return_value = "abcd" | ||
mock_handle_error.return_value = None | ||
res = attribute_float_kwarg( | ||
element=element, | ||
ns="ns", | ||
name_spaces="name", | ||
node_name="node", | ||
kwarg="a", | ||
classes=None, | ||
strict=True | ||
) | ||
assert res == {} | ||
|
||
def test_subelement_enum_kwarg(self) -> None: | ||
node = Node() | ||
node.text = None | ||
element = Mock() | ||
element.find.return_value = node | ||
res = subelement_enum_kwarg( | ||
element=element, | ||
ns="ns", | ||
name_spaces="name", | ||
node_name="node", | ||
kwarg="a", | ||
classes=[Color], | ||
strict=True | ||
) | ||
assert res == {} | ||
|
||
def test_attribute_enum_kwarg(self) -> None: | ||
element = Mock() | ||
element.get.return_value = None | ||
res = attribute_enum_kwarg( | ||
element=element, | ||
ns="ns", | ||
name_spaces="name", | ||
node_name="node", | ||
kwarg="a", | ||
classes=[Color], | ||
strict=True | ||
) | ||
assert res == {} |
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🛠️ Refactor suggestion
Enhance test methods with type annotations and expanded coverage.
-
Add type annotations to function arguments in test methods. For example:
def test_node_text(self, mock_get_value: Mock) -> None:
-
Consider expanding test coverage in methods like
test_float_attribute
andtest_enum_attribute
. Test with different input values and edge cases. -
Improve assertions in methods like
test_subelement_int_kwarg
andtest_subelement_float_kwarg
. Assert not just that the result is an empty dict, but also that the mocked methods were called with expected arguments.
Example for test_subelement_int_kwarg
:
def test_subelement_int_kwarg(self) -> None:
node = Node()
node.text = None
element = Mock()
element.find.return_value = node
res = subelement_int_kwarg(
element=element,
ns="ns",
name_spaces="name",
node_name="node",
kwarg="kwarg",
classes=None,
strict=False
)
assert res == {}
element.find.assert_called_once_with("nsnode")
These changes will improve type safety, increase test coverage, and make the tests more robust.
🧰 Tools
🪛 Ruff
24-24: Missing type annotation for function argument
mock_get_value
(ANN001)
38-38: Missing type annotation for function argument
mock_get_value
(ANN001)
52-52: Missing type annotation for function argument
mock_get_value
(ANN001)
65-65: Missing return type annotation for public function
test_subelement_int_kwarg
Add return type annotation:
None
(ANN201)
81-81: Missing return type annotation for public function
test_subelement_float_kwarg
Add return type annotation:
None
(ANN201)
98-98: Missing type annotation for function argument
mock_handle_error
(ANN001)
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## 352-improve-test-coverage #365 +/- ##
=============================================================
+ Coverage 98.12% 98.92% +0.80%
=============================================================
Files 50 52 +2
Lines 4848 5027 +179
Branches 148 148
=============================================================
+ Hits 4757 4973 +216
+ Misses 63 44 -19
+ Partials 28 10 -18 ☔ View full report in Codecov by Sentry. |
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Hey, nice work 👍
I left some comments and 👍 or 👎 on the AI generated reviews.
tests/containers_test.py
Outdated
name="name" | ||
) | ||
feature = features._Feature(name="new_feature") | ||
assert container.append(feature) is None |
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I don't think this line is needed, as .append
always returns None
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changed
Co-authored-by: Christian Ledermann <[email protected]>
Co-authored-by: Christian Ledermann <[email protected]>
Co-authored-by: Christian Ledermann <[email protected]>
@cleder Thanks for the review. Just to clarify, does 👍 mean we are good with the changes or should I go ahead and make the change suggested by the AI bot? |
Sorry @apurvabanka a 👎 on a bot review means not needed, a 👍 means, it is a good suggestion. |
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Actionable comments posted: 1
🧹 Outside diff range and nitpick comments (7)
tests/geometries/functions_test.py (4)
1-10
: Add a module docstring for better documentation.Consider adding a module-level docstring at the beginning of the file to describe the purpose of these tests. This will improve the overall documentation and address the D100 linter warning.
Here's a suggested docstring:
""" Unit tests for geometry-related functions in the fastkml library. This module contains test cases for handle_invalid_geometry_error and coordinates_subelement functions. """🧰 Tools
🪛 Ruff
1-1: Missing docstring in public module
(D100)
10-10: First line should end with a period
Add period
(D400)
10-10: First line should end with a period, question mark, or exclamation point
Add closing punctuation
(D415)
12-20
: LGTM! Consider adding type annotation for mock_to_string.The test logic is correct and effectively checks the behavior of
handle_invalid_geometry_error
whenstrict=True
. To improve type hinting, consider adding a type annotation for themock_to_string
parameter:@patch('fastkml.config.etree.tostring') def test_handle_invalid_geometry_error_true(self, mock_to_string: Mock) -> None:🧰 Tools
🪛 Ruff
13-13: Missing type annotation for function argument
mock_to_string
(ANN001)
13-13: Unused method argument:
mock_to_string
(ARG002)
22-29
: LGTM! Consider adding type annotation for mock_to_string.The test logic is correct and effectively checks the behavior of
handle_invalid_geometry_error
whenstrict=False
. To improve type hinting, consider adding a type annotation for themock_to_string
parameter:@patch('fastkml.config.etree.tostring') def test_handle_invalid_geometry_error_false(self, mock_to_string: Mock) -> None:🧰 Tools
🪛 Ruff
23-23: Missing type annotation for function argument
mock_to_string
(ANN001)
23-23: Unused method argument:
mock_to_string
(ARG002)
31-52
: LGTM! Fix indentation for better readability.The test logic is correct and effectively checks the behavior of
coordinates_subelement
with invalid 4D coordinates. However, there's a minor indentation issue that should be fixed:setattr(obj, 'coordinates', - [(1.123456, 2.654321, 3.111111, 4.222222)] - ) + [(1.123456, 2.654321, 3.111111, 4.222222)])This change will improve code readability and consistency.
tests/geometries/boundaries_test.py (3)
78-86
: LGTM: Helper method for boundary geometry error testsThe
_test_boundary_geometry_error
method effectively encapsulates the common logic for testing bothOuterBoundaryIs
andInnerBoundaryIs
classes. It correctly usespytest.raises
to check for theGeometryError
.To improve type safety and code readability, consider adding type annotations:
def _test_boundary_geometry_error(self, boundary_class: Type[Union[OuterBoundaryIs, InnerBoundaryIs]]) -> None:Don't forget to import
Type
andUnion
from thetyping
module if they're not already imported.🧰 Tools
🪛 Ruff
78-78: Missing return type annotation for private function
_test_boundary_geometry_error
Add return type annotation:
None
(ANN202)
78-78: Missing type annotation for function argument
boundary_class
(ANN001)
88-90
: LGTM: Test method for OuterBoundaryIs geometry errorThe
test_outer_boundary_geometry_error
method correctly tests theOuterBoundaryIs
class forGeometryError
. The docstring accurately describes the test's purpose.To improve type safety, consider adding a return type annotation:
def test_outer_boundary_geometry_error(self) -> None:🧰 Tools
🪛 Ruff
88-88: Missing return type annotation for public function
test_outer_boundary_geometry_error
Add return type annotation:
None
(ANN201)
92-94
: LGTM: Test method for InnerBoundaryIs geometry errorThe
test_inner_boundary_geometry_error
method correctly tests theInnerBoundaryIs
class forGeometryError
. The docstring accurately describes the test's purpose.To improve type safety, consider adding a return type annotation:
def test_inner_boundary_geometry_error(self) -> None:🧰 Tools
🪛 Ruff
92-92: Missing return type annotation for public function
test_inner_boundary_geometry_error
Add return type annotation:
None
(ANN201)
📜 Review details
Configuration used: .coderabbit.yaml
Review profile: CHILL
📒 Files selected for processing (3)
- tests/containers_test.py (2 hunks)
- tests/geometries/boundaries_test.py (2 hunks)
- tests/geometries/functions_test.py (1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- tests/containers_test.py
🧰 Additional context used
🪛 Ruff
tests/geometries/boundaries_test.py
78-78: Missing return type annotation for private function
_test_boundary_geometry_error
Add return type annotation:
None
(ANN202)
78-78: Missing type annotation for function argument
boundary_class
(ANN001)
88-88: Missing return type annotation for public function
test_outer_boundary_geometry_error
Add return type annotation:
None
(ANN201)
92-92: Missing return type annotation for public function
test_inner_boundary_geometry_error
Add return type annotation:
None
(ANN201)
tests/geometries/functions_test.py
1-1: Missing docstring in public module
(D100)
10-10: First line should end with a period
Add period
(D400)
10-10: First line should end with a period, question mark, or exclamation point
Add closing punctuation
(D415)
13-13: Missing type annotation for function argument
mock_to_string
(ANN001)
13-13: Unused method argument:
mock_to_string
(ARG002)
23-23: Missing type annotation for function argument
mock_to_string
(ANN001)
23-23: Unused method argument:
mock_to_string
(ARG002)
🔇 Additional comments (3)
tests/geometries/functions_test.py (1)
1-71
: Overall assessment: Good test coverage with room for minor improvements.This new test file provides good coverage for the geometry-related functions in the
fastkml
library. The tests are well-structured and cover important scenarios. Here's a summary of the suggested improvements:
- Add a module-level docstring for better documentation.
- Add type annotations for the
mock_to_string
parameters in the patched methods.- Fix the indentation issue in the
test_coordinates_subelement_exception
method.- Address the discrepancy in the
test_coordinates_subelement_getattr
method by using the correctobj
parameter.Implementing these suggestions will further enhance the quality and effectiveness of these tests.
🧰 Tools
🪛 Ruff
1-1: Missing docstring in public module
(D100)
10-10: First line should end with a period
Add period
(D400)
10-10: First line should end with a period, question mark, or exclamation point
Add closing punctuation
(D415)
13-13: Missing type annotation for function argument
mock_to_string
(ANN001)
13-13: Unused method argument:
mock_to_string
(ARG002)
23-23: Missing type annotation for function argument
mock_to_string
(ANN001)
23-23: Unused method argument:
mock_to_string
(ARG002)
tests/geometries/boundaries_test.py (2)
20-20
: LGTM: New import for GeometryErrorThe import of
GeometryError
fromfastkml.exceptions
is correctly added and necessary for the new test methods.
Line range hint
19-95
: Summary: Improved error handling tests for boundary classesThese changes significantly enhance the test coverage for error handling in the
OuterBoundaryIs
andInnerBoundaryIs
classes. The addition of a helper method_test_boundary_geometry_error
promotes code reuse and maintainability. The new test methods effectively verify that both boundary classes raiseGeometryError
when instantiated with invalid geometry.The code is well-structured, follows good testing practices, and aligns with the PR objective of improving test coverage. The minor suggestions for adding type annotations will further improve code quality and maintainability.
Great job on these improvements!
🧰 Tools
🪛 Ruff
78-78: Missing return type annotation for private function
_test_boundary_geometry_error
Add return type annotation:
None
(ANN202)
78-78: Missing type annotation for function argument
boundary_class
(ANN001)
88-88: Missing return type annotation for public function
test_outer_boundary_geometry_error
Add return type annotation:
None
(ANN201)
92-92: Missing return type annotation for public function
test_inner_boundary_geometry_error
Add return type annotation:
None
(ANN201)
def test_coordinates_subelement_getattr(self) -> None: | ||
obj = Mock() | ||
setattr(obj, 'coordinates', [(1.123456, 2.654321), (3.123456, 4.654321)]) | ||
|
||
element = Mock() | ||
|
||
precision = 4 | ||
attr_name = 'coordinates' | ||
|
||
assert coordinates_subelement( | ||
obj=None, | ||
attr_name=attr_name, | ||
node_name=None, | ||
element=element, | ||
precision=precision, | ||
verbosity=None, | ||
default=None | ||
) is None |
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Fix discrepancy between setup and function call.
There's an important issue in this test that needs to be addressed. The test sets up a mock object with valid 2D coordinates, but then passes None
as the obj
parameter in the coordinates_subelement
call. This means the test is not actually using the mock object with the valid coordinates you've set up.
To fix this, replace:
assert coordinates_subelement(
obj=None,
# ... other arguments ...
) is None
with:
assert coordinates_subelement(
obj=obj,
# ... other arguments ...
) is None
This change ensures that the test actually uses the mock object with the valid coordinates you've set up, making the test more effective and meaningful.
@cleder Are there any pending items for this PR? |
537c518
into
cleder:352-improve-test-coverage
you did not see that mypy failed?
It took me a couple of hours to sort this all out: 18e6b5b |
I also had to improve some test, so they were asserting something non-trivial, and removed tests that were not of value |
@cleder For my PR I just ran the Test Coverage for the pytest. I might have missed some setup steps. How do you run mypy? |
See contributing.rst
or
|
@cleder Coverage Report
Related Issue #352
Summary by Sourcery
Enhance test coverage by adding new test cases across multiple modules, focusing on error handling and utility functions.
Tests:
Summary by CodeRabbit
New Features
PhotoOverlay
class, ensuring correct initialization and attribute validation.Track
class to validate theetree_element
method.MultiTrack
andRegion
tests for better validation of object states.Bug Fixes
Documentation
Region
class.