added hypothesis tests to test_feature.py #222 #251
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Reviewer's Guide by SourceryThis pull request adds Hypothesis tests to the test_feature.py file, introducing property-based testing for the Feature and FeatureCollection classes. The changes include new composite strategies for generating random polygons, coordinates, and properties, as well as two new test functions that use these strategies to test the Feature and FeatureCollection classes with randomly generated data. Sequence DiagramsequenceDiagram
participant Hypothesis
participant TestFeature
participant Feature
participant FeatureCollection
Hypothesis->>TestFeature: Generate random polygon
Hypothesis->>TestFeature: Generate random properties
TestFeature->>Feature: Create Feature with random data
TestFeature->>Feature: Assert Feature properties
Hypothesis->>TestFeature: Generate random polygon
TestFeature->>Feature: Create multiple Features
TestFeature->>FeatureCollection: Create FeatureCollection
TestFeature->>FeatureCollection: Assert FeatureCollection properties
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❌ Changes requested. Reviewed everything up to 8f1de59 in 16 seconds
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tests/test_feature.py
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| return draw( | ||
| lists( | ||
| tuples( | ||
| floats(min_value=180, max_value=180), floats(min_value=90, max_value=90), |
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The floats strategy in coordinates should have a range for min_value and max_value. Use min_value=-180, max_value=180 for longitude and min_value=-90, max_value=90 for latitude.
| floats(min_value=180, max_value=180), floats(min_value=90, max_value=90), | |
| floats(min_value=-180, max_value=180), floats(min_value=-90, max_value=90), |
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Hey @uchiha-vivek - I've reviewed your changes - here's some feedback:
Overall Comments:
- The coordinate generation strategy allows for invalid coordinates (longitude > 180 or latitude > 90). Please adjust the
floats()calls in thecoordinatescomposite strategy to ensure valid geographic coordinates. - Consider adding more complex test scenarios that combine different aspects of Feature and FeatureCollection classes to ensure they work well together.
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.
| @composite | ||
| def coordinates(draw): | ||
| """Generate a list of coordinates for geometries""" | ||
| return draw( |
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suggestion (testing): Consider testing coordinates outside the valid range
The current implementation limits latitude and longitude to their maximum valid ranges. It might be useful to test how the Feature class handles invalid coordinates (e.g., latitudes > 90 or < -90, longitudes > 180 or < -180) to ensure proper error handling or validation.
@composite
def coordinates(draw):
"""Generate a list of coordinates for geometries, including invalid ones"""
return draw(
lists(
tuples(
floats(min_value=-200, max_value=200), floats(min_value=-100, max_value=100),
),
min_size=3,
max_size=10,
),
)
| @given(polygon=polygons(), props=properties()) | ||
| def test_feature_with_random_data(self, polygon, props) -> None: | ||
| f = feature.Feature(polygon, props) | ||
| assert isinstance(f, feature.Feature) | ||
| assert f.geometry == polygon | ||
| assert f.properties == props |
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suggestion (testing): Add assertions for Feature's geo_interface
The test_feature_with_random_data function could benefit from additional assertions to verify the correctness of the Feature's geo_interface attribute. This would ensure that the GeoJSON representation of the Feature is correctly generated for various input combinations.
@given(polygon=polygons(), props=properties())
def test_feature_with_random_data(self, polygon, props) -> None:
f = feature.Feature(polygon, props)
assert isinstance(f, feature.Feature)
assert f.geometry == polygon
assert f.properties == props
assert f.__geo_interface__ == {
"type": "Feature",
"geometry": polygon.__geo_interface__,
"properties": props
}
| @given(polygon=polygons()) | ||
| def test_feature_collection_with_random_features(self, polygon) -> None: | ||
| f1 = feature.Feature(polygon) | ||
| f2 = feature.Feature(polygon) | ||
| fc = feature.FeatureCollection([f1, f2]) | ||
| assert isinstance(fc, feature.FeatureCollection) | ||
| assert len(fc) == 2 |
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suggestion (testing): Extend FeatureCollection test with varying number of features
The current test for FeatureCollection always uses two features. Consider parameterizing the test to create FeatureCollections with a varying number of features, including edge cases like empty collections and large collections.
| @given(polygon=polygons()) | |
| def test_feature_collection_with_random_features(self, polygon) -> None: | |
| f1 = feature.Feature(polygon) | |
| f2 = feature.Feature(polygon) | |
| fc = feature.FeatureCollection([f1, f2]) | |
| assert isinstance(fc, feature.FeatureCollection) | |
| assert len(fc) == 2 | |
| @given(polygon=polygons(), num_features=st.integers(min_value=0, max_value=100)) | |
| def test_feature_collection_with_random_features(self, polygon, num_features) -> None: | |
| features = [feature.Feature(polygon) for _ in range(num_features)] | |
| fc = feature.FeatureCollection(features) | |
| assert isinstance(fc, feature.FeatureCollection) | |
| assert len(fc) == num_features |
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## develop #251 +/- ##
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Coverage 100.00% 100.00%
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Files 32 32
Lines 2695 2728 +33
Branches 85 85
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User description
Added Hypothesis tests to test_feature.py
**Issue No : #222 **
**Made two functions for hypothesis testing **
test_feature_with_random_data
_The hypothesis will generate various polygons including regular and irregular polygons .
Regular Polygons : _If all the polygon sides and interior angles are equal, then they are known as regular polygons. _
Irregular Polygons : _An irregular polygon does not have all its sides equal and not all the angles are equal in measure. _
test_feature_collection_with_random_features
_Generates random features _
20/20 Test cases passed
PR Type
Tests
Description
test_feature.pyto enhance test coverage.polygons,coordinates, andpropertiesstrategies for generating random test data.test_feature_with_random_datato verify feature creation with random polygons and properties.test_feature_collection_with_random_featuresto verify feature collection creation with random features.Changes walkthrough 📝
test_feature.py
Add hypothesis-based tests for feature and feature collectiontests/test_feature.py
properties.
test_feature_with_random_datafor testing features withrandom data.
test_feature_collection_with_random_featuresfor testingfeature collections.
Summary by Sourcery
Add Hypothesis tests to test_feature.py to enhance test coverage by generating random data for features and feature collections.
Tests: