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use result #191
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use result #191
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WalkthroughThe pull request introduces significant changes across multiple files, primarily focusing on enhancing error handling and result management through the introduction of a new dependency, Changes
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Actionable comments posted: 7
🧹 Outside diff range and nitpick comments (24)
sqlalchemy_to_json_schema/command/main.py (2)
7-7
: Approved: Direct import ofDriver
class.The change to directly import the
Driver
class simplifies the code and aligns with the new implementation in themain
function. However, note that this reduces the flexibility of loading different drivers at runtime. Ensure this change aligns with the project's requirements for extensibility.
Line range hint
1-52
: Summary of changes and potential impactThe changes in this file align with the PR objectives of code simplification and optimization. Key improvements include:
- Enhanced type safety with the use of
Final
for constants.- Simplified driver instantiation, removing dynamic loading.
- Streamlined
main
function signature.These changes generally improve code clarity and maintainability. However, they also reduce some flexibility (e.g., in driver loading) which may impact extensibility.
Points to consider:
- Verify that removing the ability to load different drivers aligns with project requirements.
- Ensure the removal of the
depth
parameter doesn't break any existing functionality.- The adoption of using results instead of exceptions (mentioned in PR objectives) is not directly visible in this file. Ensure this change is implemented consistently across the codebase.
tests/test_it_reflection.py (1)
Line range hint
1-70
: Overall impact: Improved result handling in tests.The changes in this file successfully implement the new result handling pattern using the
Ok
type from theresult
module. This approach enhances error handling and aligns the tests with the modifications in the main code. The core expectations about the schema structure remain intact, ensuring that existing functionality is still properly tested.To further improve the tests:
- Consider adding test cases that specifically check for error conditions, using the counterpart to
Ok
(likely anErr
type) to ensure comprehensive coverage of the new result handling pattern.- Update the docstrings or comments in the test functions to reflect the new result-based assertions, which would help maintain clear documentation of the test strategy.
Would you like assistance in implementing these suggestions or creating additional test cases to cover error scenarios?
tests/test_it.py (2)
45-45
: Approve change and suggest fixing typo in function nameThe addition of
.unwrap()
is correct and aligns with the PR objectives of using results instead of exceptions. This change improves error handling and result management.Consider fixing the typo in the function name:
-def test_it_create_schema__and__valid_params__sucess() -> None: +def test_it_create_schema__and__valid_params__success() -> None:
Line range hint
45-70
: Summary of changes and suggestions for improvementThe changes in this file consistently add
.unwrap()
to all schema generation calls, which aligns with the PR objectives of improving error handling and result management. This systematic update enhances the codebase's consistency in handling results.Consider creating a separate issue to address the following pre-existing typos, as they may affect test reliability:
- Function name typo: "sucess" instead of "success" in
test_it_create_schema__and__valid_params__sucess
.- Parameter typo: "uesrs.pk" instead of "users.pk" in the
excludes
list oftest_it_create_schema__and__invalid_params__failure
.Fixing these typos will improve the overall quality and reliability of the test suite.
tests/regression/test_generate_schema_with_type_decorator.py (1)
68-70
: LGTM: Test case updated to handle Result type, but consider consistency.The changes in the
test_it__impl_is_not_callable
function correctly adapt the test case to the new result-based approach. The use ofis_ok
to check for a successful result before accessing its value is appropriate.However, note that this test uses
unwrap()
to access the result value, while the previous test usedvalue
. For consistency, consider using the same method in both tests, preferablyunwrap()
as it's more explicit about error handling.tests/command/test_main.py (2)
24-24
: LGTM: Function signature simplified correctlyThe removal of the
mock_load_module_or_symbol
parameter from the function signature is consistent with the PR objectives and the removal of the corresponding fixture. This change simplifies the test function without affecting its functionality.Consider updating the function's docstring to reflect the removal of the
mock_load_module_or_symbol
parameter, ensuring that the documentation remains in sync with the code changes.
Line range hint
1-93
: Overall assessment: Changes improve test simplicity and maintainabilityThe modifications in this file successfully simplify the test code by removing the
mock_load_module_or_symbol
fixture and updating the test function signatures accordingly. These changes align well with the PR objectives of code simplification and removal of the ability to load different drivers.The updates maintain the functionality of the tests while reducing complexity, which should improve maintainability. The changes are consistent throughout the file and don't introduce any apparent issues.
Consider reviewing other test files in the project to ensure consistent application of these simplifications, if applicable. This will help maintain a uniform testing approach across the codebase.
tests/test_walker.py (4)
52-54
: LGTM: Improved result handling and order-independent assertionThe changes in this test function effectively implement the new result-handling pattern and introduce order-independent assertion for property keys. This aligns well with the PR objectives and improves the robustness of the test.
Consider using
set
instead oflist
for a more concise representation:assert set(result.unwrap()["properties"].keys()) == set(["color", "name", "pk"])This achieves the same order-independent comparison without the need for the
unordered
function.
79-80
: LGTM: Consistent implementation of result handlingThe changes in this test function correctly implement the new result-handling pattern, maintaining consistency with other test functions.
Consider renaming the test function to something more descriptive and following Python naming conventions. For example:
def test_properties_contain_all_expected_fields():This name more clearly describes the purpose of the test and follows the snake_case convention for Python function names.
97-99
: LGTM: Improved result handling and order-independent assertionsThe changes in these test functions effectively implement the new result-handling pattern and introduce order-independent assertions for property keys. This aligns well with the PR objectives and improves the robustness of the tests.
Consider using
set
instead oflist
for a more concise representation in both functions:assert set(result.unwrap()["properties"].keys()) == {"pk"}and
assert set(result.unwrap()["properties"].keys()) == {"color", "name"}This achieves the same order-independent comparison without the need for the
unordered
function and is more idiomatic Python.Also applies to: 105-107
142-145
: LGTM: Improved error handling using Result patternThe changes in this test function effectively implement the new result-handling pattern for error cases. Instead of expecting an exception, the test now checks for an
Err
result, which aligns well with the PR objectives of using results instead of exceptions.Consider using a more specific error message assertion:
expected_error = f"invalid overrides: {set(overrides.keys())}" assert actual == Err(expected_error)This approach makes the expected error message more explicit and easier to update if needed.
tests/test_relation.py (2)
60-62
: LGTM: Improved test robustness and flexibility.The changes enhance the test by:
- Using
is_ok
to ensure the result is successful before accessing its value.- Using
unordered
for a more flexible comparison of property keys.These modifications improve the test's reliability and reduce its sensitivity to the order of properties.
Consider adding an assertion for the
required
field, similar to other tests in this file:assert "required" in result.value
Line range hint
1-237
: Overall improvements in test suite robustness and flexibilityThe changes made to
tests/test_relation.py
consistently enhance the test suite's reliability and maintainability:
- Introduction of
is_ok
checks ensures proper error handling and result validation.- Use of
unordered
comparisons allows for more flexible assertions, reducing test brittleness.- Updated assertions reflect changes in the schema generation logic, particularly in areas such as nested relationships and handling of potential infinite loops.
These modifications align well with the PR objectives of code simplification and optimization. They contribute to a more robust test suite that is less prone to false negatives due to ordering issues or minor schema changes.
Consider adding a helper function to encapsulate the common pattern of checking
is_ok(result)
and accessingresult.value
. This could further reduce code duplication and improve readability across the test suite.tests/command/test_transformer.py (1)
Line range hint
88-114
: Consider updatingcollect_models
for consistency.While the changes to use the Result type are appropriately applied to the transformer tests, the
collect_models
function and its tests remain unchanged. For consistency across the codebase, it might be worth considering whethercollect_models
should also return a Result type (e.g.,Ok(list_of_models)
orErr(error_message)
). This would align all parts of the code with the new error-handling approach.Would you like me to propose a specific implementation for updating
collect_models
to use the Result type?tests/test_schema_factory.py (6)
130-140
: LGTM: Assertion updated to useOk
wrapper.The change to wrap the expected result in
Ok
is consistent with the new approach of using a Result type. This modification enhances the test by explicitly checking for a successful outcome.Consider extracting the expected result into a separate variable before the assertion. This can improve readability, especially for larger dictionaries:
expected_result = { "properties": { "pk": {"type": "integer"}, "concatenable": {"type": "array", "items": {"type": expected_type}}, }, "required": ["pk"], "title": "Model", "type": "object", } assert actual == Ok(expected_result)
153-160
: LGTM: Assertion updated to useOk
wrapper.The change to wrap the expected result in
Ok
is consistent with the new approach of using a Result type. This modification enhances the test by explicitly checking for a successful outcome.As suggested earlier, consider extracting the expected result into a separate variable before the assertion to improve readability:
expected_result = { "properties": {"id": {"type": "string", "format": "uuid"}}, "required": ["id"], "title": "Model", "type": "object", } assert actual == Ok(expected_result)
174-184
: LGTM: Assertion updated to useOk
wrapper.The change to wrap the expected result in
Ok
is consistent with the new approach of using a Result type. This modification enhances the test by explicitly checking for a successful outcome.As suggested earlier, consider extracting the expected result into a separate variable before the assertion to improve readability:
expected_result = { "properties": { "id": {"type": "integer"}, "data": {"type": "object"}, }, "required": ["id"], "title": "Model", "type": "object", } assert actual == Ok(expected_result)
205-212
: LGTM: Assertions updated to useOk
wrapper in multiple test methods.The changes to wrap the expected results in
Ok
in bothtest_hybrid_property
andtest_hybrid_property_with_mixin
methods are consistent with the new approach of using a Result type. These modifications enhance the tests by explicitly checking for successful outcomes.As suggested earlier, consider extracting the expected results into separate variables before the assertions in both methods to improve readability:
# In test_hybrid_property expected_result = { "properties": {"id": {"type": "integer"}}, "required": ["id"], "title": "Model", "type": "object", } assert actual == Ok(expected_result) # In test_hybrid_property_with_mixin expected_result = { "properties": {"id": {"type": "integer"}}, "required": ["id"], "title": "Model", "type": "object", } assert actual == Ok(expected_result)Also applies to: 234-241
319-319
: LGTM: Assertions updated to useOk
wrapper in remaining test methods.The changes to wrap the expected results in
Ok
in bothtest_hybrid_property_with_relationship
andtest_column_custom_column
methods are consistent with the new approach of using a Result type. These modifications enhance the tests by explicitly checking for successful outcomes.For the
test_column_custom_column
method, consider extracting the expected result into a separate variable before the assertion to improve readability:expected_result = { "properties": {"pk": {"type": expected_type}}, "required": ["pk"], "title": "Model", "type": "object", } assert actual == Ok(expected_result)Also applies to: 365-372
Line range hint
1-372
: Overall LGTM: Consistent implementation of Result type in test assertions.The changes made to this test file demonstrate a systematic approach to incorporating the Result type (
Ok
) in test assertions. This modification enhances the test suite by explicitly checking for successful outcomes and aligns with a larger refactoring effort to use the Result type throughout the codebase.Key points:
- The
Ok
import has been added to support the new assertion style.- All test methods have been updated consistently to use the
Ok
wrapper in their assertions.- The actual content of the expected results remains unchanged, preserving the original test logic.
These changes improve error handling and make success/failure states more explicit in the tests. They also prepare the test suite for potential future enhancements, such as handling error cases with a corresponding
Err
type.Consider the following to further improve the test suite:
- Update the docstrings of the test methods to reflect the new assertion style.
- If not already done, ensure that the main codebase (outside of tests) is also using this Result type consistently.
- Consider adding test cases that check for error conditions, using a corresponding
Err
type if available.sqlalchemy_to_json_schema/schema_factory.py (2)
334-335
: Clarify error message for unused overridesWhen there are unused keys in
overrides_manager.not_used_keys
, consider enhancing the error message to provide more context. For example, specify which override keys are invalid or suggest valid keys. This will aid in debugging.
423-427
: Improve error message for unsupported mapped propertiesIn
_build_properties
, when an unsupported mapped property is encountered, the error message could include more details about the property causing the issue. Providing the property name or type can help in troubleshooting.sqlalchemy_to_json_schema/command/transformer.py (1)
85-86
: Provide a more descriptive error messageThe error message
Err(f"Expected a class or module, got {target}")
could include the type oftarget
for clearer debugging.Consider refining the error message:
- return Err(f"Expected a class or module, got {target}") + return Err(f"Expected a class or module, got {type(target).__name__}: {target}")
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
⛔ Files ignored due to path filters (1)
poetry.lock
is excluded by!**/*.lock
📒 Files selected for processing (14)
- pyproject.toml (1 hunks)
- sqlalchemy_to_json_schema/command/driver.py (4 hunks)
- sqlalchemy_to_json_schema/command/main.py (2 hunks)
- sqlalchemy_to_json_schema/command/transformer.py (6 hunks)
- sqlalchemy_to_json_schema/decisions.py (4 hunks)
- sqlalchemy_to_json_schema/schema_factory.py (13 hunks)
- tests/command/test_main.py (1 hunks)
- tests/command/test_transformer.py (5 hunks)
- tests/regression/test_generate_schema_with_type_decorator.py (4 hunks)
- tests/test_it.py (3 hunks)
- tests/test_it_reflection.py (3 hunks)
- tests/test_relation.py (4 hunks)
- tests/test_schema_factory.py (8 hunks)
- tests/test_walker.py (5 hunks)
🧰 Additional context used
🔇 Additional comments (47)
sqlalchemy_to_json_schema/command/main.py (2)
3-3
: LGTM: Import ofFinal
added.The addition of
Final
from thetyping
module is appropriate for the subsequent use in constant declarations. This change enhances type hinting and code clarity.
10-12
: LGTM: Constants declared asFinal
.The addition of
Final
type hints toDEFAULT_WALKER
,DEFAULT_DECISION
, andDEFAULT_LAYOUT
is a good practice. It ensures these values are immutable and improves type safety.tests/test_it_reflection.py (3)
4-4
: LGTM: Import ofOk
fromresult
module.This import aligns with the PR objective of using results instead of exceptions. It introduces a more structured way of handling successful outcomes, which is a good practice for error handling and result management.
47-47
: LGTM: Updated assertion to useOk
result type.The modification to wrap the expected result in
Ok()
is consistent with the new result handling pattern. This change ensures that the test not only checks the correctness of the schema content but also verifies that it's properly encapsulated in a successful result type.
70-70
: LGTM: Consistent use ofOk
result type in assertions.The change in
test_it2
mirrors the modification intest_it
, demonstrating consistent adoption of the new result handling pattern across test cases. This uniformity in approach is commendable and helps maintain clarity in the testing strategy.tests/test_it.py (1)
70-70
: Approve changeThe addition of
.unwrap()
is correct and consistent with the changes in other functions. This change aligns with the PR objectives of using results instead of exceptions.tests/regression/test_generate_schema_with_type_decorator.py (4)
5-5
: LGTM: New import aligns with PR objectives.The addition of
Result
andis_ok
from theresult
library is consistent with the PR's goal of using results instead of exceptions for error handling.
15-15
: LGTM: Function signature updated to use Result type.The change in the
_callFUT
function signature from returningSchema
toResult[Schema, str]
is a good implementation of the result-based error handling approach. This allows for more structured and explicit error management.
19-21
: LGTM: Internal changes in _callFUT align with new signature.The changes within the
_callFUT
function, including the variable rename toschema_result
and the direct return of this result, are consistent with the new function signature. These modifications improve code clarity and maintain the new error handling approach.
52-54
: LGTM: Test case updated to handle Result type.The changes in the
test_it
function appropriately adapt the test case to the new result-based approach. The use ofis_ok
to check for a successful result before accessing its value ensures that the test correctly handles the newResult
type. The added blank line improves readability.tests/command/test_main.py (2)
20-20
: LGTM: Mock driver path updated correctlyThe change to mock "sqlalchemy_to_json_schema.command.main.Driver" directly aligns with the PR objectives of simplifying the code and removing the ability to load a different driver. This modification is consistent with the removal of the
mock_load_module_or_symbol
fixture and maintains the test's functionality while reducing complexity.
Line range hint
52-60
: LGTM: Function signature simplified correctlyThe removal of the
mock_load_module_or_symbol
parameter from the function signature is consistent with the PR objectives and the removal of the corresponding fixture. This change simplifies the test function without affecting its functionality, aligning well with the overall goal of code simplification.tests/test_walker.py (5)
4-5
: LGTM: New imports align with PR objectivesThe addition of
unordered
frompytest_unordered
andErr, is_ok
fromresult
aligns well with the PR objectives. These imports support the transition to using results instead of exceptions and enable order-independent assertions in tests.
43-45
: LGTM: Improved result handling in test_type__is_objectThe changes in this test function effectively implement the new result-handling pattern. By first checking
is_ok(result)
and then usingresult.unwrap()
, the test becomes more robust and aligns with the PR objectives of using results instead of exceptions.
61-63
: LGTM: Consistent implementation of result handlingThe changes in this test function consistently apply the new result-handling pattern. By first checking
is_ok(result)
and then usingresult.unwrap()
, the test becomes more robust and maintains consistency with other test functions.
70-72
: LGTM: Consistent implementation of result handlingThe changes in this test function maintain consistency with the new result-handling pattern. The addition of
is_ok(result)
check and the use ofresult.unwrap()
improve the robustness of the test and align with the changes in other test functions.
Line range hint
1-145
: Overall assessment: Well-implemented result handling patternThe changes in this file consistently implement the new result-handling pattern across all test functions. This aligns well with the PR objectives of using results instead of exceptions. The use of
is_ok()
checks andresult.unwrap()
improves the robustness of the tests.Some minor improvements have been suggested:
- Using
set
instead oflist
withunordered
for property key comparisons.- Renaming the
test_properties__all__this_is_slackoff_little_bit__all_is_all
function to something more descriptive.- Making the error message assertion more explicit in the
test__overrides__wrong_column
function.These suggestions, if implemented, would further enhance the code quality and readability.
tests/test_relation.py (8)
8-9
: LGTM: New imports enhance test functionality.The addition of
unordered
frompytest_unordered
andis_ok
fromresult
aligns well with the changes made in the test functions. These imports support more flexible assertions and improved error handling.
69-72
: LGTM: Enhanced test reliability and flexibility.The modifications improve the test by:
- Using
is_ok
to verify the result's success before accessing its value.- Employing
unordered
for a more flexible comparison of property keys.These changes align well with the improvements made in other test functions and contribute to more robust and maintainable tests.
79-82
: LGTM: Consistent improvement in test robustness.The changes in this test function maintain consistency with the improvements made in previous tests:
- Utilizing
is_ok
to ensure the result's success before accessing its value.- Applying
unordered
for a more flexible comparison of property keys.These modifications contribute to a more reliable and maintainable test suite.
172-175
: LGTM: Consistent improvements in test reliability.The modifications in this test function align with the enhancements made in previous tests:
- Using
is_ok
to verify the result's success.- Applying
unordered
for flexible property key comparison.These changes contribute to a more robust and maintainable test suite.
183-187
: LGTM: Consistent enhancements in test robustness.The changes in this test function maintain consistency with the improvements made in previous tests:
- Utilizing
is_ok
to ensure the result's success before accessing its value.- Applying
unordered
for a more flexible comparison of property keys.These modifications contribute to a more reliable and maintainable test suite.
157-164
: LGTM: Consistent improvements and updated nested assertions.The changes in this test function maintain consistency with previous improvements:
- Utilizing
is_ok
to ensure the result's success.- Applying
unordered
for flexible property key comparison.The updated assertions for nested children reflect changes in the schema generation logic.
Please verify that the changes in the nested children assertions accurately reflect the intended modifications in the schema generation logic. Run the following script to check the relevant models and schema generation code:
#!/bin/bash # Description: Verify the nested model definitions and schema generation logic # Test: Search for the A0 to A5 model definitions rg --type python -A 10 'class A[0-5]\(' # Test: Search for the schema generation logic related to nested relationships rg --type python -A 15 'def (get_schema|generate_schema).*depth'
89-96
: LGTM: Consistent improvements and updated schema assertion.The changes in this test function align with the improvements made in previous tests:
- Using
is_ok
to verify the result's success.- Applying
unordered
for flexible property key comparison.The updated assertion for the
User
definition reflects changes in the schema generation logic.Please verify that the changes in the
User
definition assertion accurately reflect the intended modifications in the schema generation logic. Run the following script to check theUser
model definition and ensure it matches the expected output:
219-226
: LGTM: Consistent improvements and updated assertions for infinite loop tests.The changes in both
test_properties__infinite_loop
andtest_properties__infinite_loop2
align with the enhancements made in previous tests:
- Using
is_ok
to verify the result's success.- Applying
unordered
for flexible property key comparison.The updated assertions reflect changes in the schema generation logic, particularly in handling potential infinite loops in relationships.
Please verify that the changes in the assertions for both infinite loop tests accurately reflect the intended modifications in the schema generation logic. Run the following script to check the relevant models and schema generation code:
Also applies to: 234-237
tests/command/test_transformer.py (4)
7-7
: LGTM: New import aligns with PR objectives.The addition of
from result import Ok
is consistent with the PR's goal of using results instead of exceptions. This import introduces theOk
class, which is typically used in Result types to represent successful outcomes.
37-51
: LGTM: Test assertions updated to use Result type.The changes in both
test_transform_model
andtest_transform_module
methods ofTestJSONSchemaTransformer
are consistent with the new result-handling pattern. The expected outputs are now wrapped inOk()
objects, which represents successful outcomes in the Result type pattern. This modification enhances error handling and aligns with the PR's objective of using results instead of exceptions.Also applies to: 61-84
119-161
: LGTM: AsyncAPI2Transformer tests updated to use Result type.The changes in both
test_transform_model
andtest_transform_module
methods ofTestAsyncAPI2Transformer
are consistent with the new result-handling pattern. Similar to the changes inTestJSONSchemaTransformer
, the expected outputs are now wrapped inOk()
objects. This modification maintains consistency across the test suite and aligns with the PR's objective of using results instead of exceptions.Also applies to: 171-223
Line range hint
1-223
: Summary: Successful implementation of Result type in transformer tests.The changes in this file successfully implement the new result-handling pattern using the
Ok
type from theresult
module. The modifications are consistently applied across bothJSONSchemaTransformer
andAsyncAPI2Transformer
tests, maintaining the existing test coverage while enhancing error handling. These changes align well with the PR objectives and contribute to a more robust and predictable codebase.Key points:
- New import added for
Ok
fromresult
module.- Test assertions in both transformer classes updated to use
Ok()
.- Overall structure and logic of the tests remain intact.
- Consistency in applying the new pattern across different transformer types.
The only potential improvement would be to consider updating the
collect_models
function and its tests to also use the Result type for complete consistency across the codebase.tests/test_schema_factory.py (1)
7-7
: LGTM: Import ofOk
aligns with new assertion style.The addition of
from result import Ok
is consistent with the changes made in the test assertions. This import indicates a shift towards using a Result type for handling outcomes, which can improve error handling and make success/failure states more explicit.sqlalchemy_to_json_schema/command/driver.py (3)
61-63
: Verify all usages ofbuild_transformer
handle the newResult
typeThe return type of
build_transformer
has been updated toCallable[..., Result[Schema, str]]
. Ensure that all callers of this method are updated to handle theResult
type appropriately.Run the following script to find all usages of
build_transformer
:#!/bin/bash # Description: Find all calls to 'build_transformer' and check for proper handling. rg --type python 'build_transformer\(' -A 5
79-79
: Ensure callers ofrun
handle the newResult
return typeThe
run
method now returns aResult[None, str]
. Verify that any code invoking this method is updated to handle theResult
type.Run the following script to locate all calls to the
run
method:#!/bin/bash # Description: Search for invocations of 'run' in the codebase. rg --type python 'Driver\(.*\)\.run\(' -A 3
10-10
: Ensure theresult
package is included in project dependenciesWith the addition of
from result import Err, Ok, Result
, please verify that theresult
package is included in your project's dependencies to prevent import errors at runtime.Run the following script to check if
result
is listed in your dependency files:✅ Verification successful
result
package is included in project dependenciesThe
result
package was found inpyproject.toml
, confirming that it is included in the project dependencies.🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Check if 'result' is specified in pyproject.toml or requirements.txt # Search in pyproject.toml if rg '^\s*result\s*=' pyproject.toml; then echo "'result' found in pyproject.toml" else echo "'result' not found in pyproject.toml" fi # Search in requirements.txt if [ -f requirements.txt ]; then if rg '^result' requirements.txt; then echo "'result' found in requirements.txt" else echo "'result' not found in requirements.txt" fi fiLength of output: 243
Script:
#!/bin/bash # Description: Check if 'result' is specified in pyproject.toml or requirements.txt # Search in pyproject.toml if rg '^\s*result\s*=' pyproject.toml; then echo "'result' found in pyproject.toml" else echo "'result' not found in pyproject.toml" fi # Search in requirements.txt if [ -f requirements.txt ]; then if rg '^result' requirements.txt; then echo "'result' found in requirements.txt" else echo "'result' not found in requirements.txt" fi fiLength of output: 166
sqlalchemy_to_json_schema/schema_factory.py (5)
29-29
: Ensure 'result' dependency is declaredSince the code introduces a new dependency on the
result
package, please verify that this dependency is added to your project's configuration files (e.g.,pyproject.toml
orrequirements.txt
) to prevent any missing dependency issues.
Line range hint
124-137
: LGTM: Updated method signature and error handlingThe updated method signature in
Classifier.__getitem__
correctly reflects the return types. Raising aKeyError
when a mapping is not found aligns with standard Python practices.
273-290
: Proper error handling inchild_schema
methodThe
child_schema
method correctly utilizes theResult
type for error handling, returningOk
andErr
where appropriate. The logic for constructing subschemas and managing different relationship directions is sound.
Line range hint
488-494
: LGTM: Accurate detection of required fieldsThe
_detect_required
method appropriately identifies required properties based on column nullability and applies adjustments through theadjust_required
callback when provided.
245-250
:⚠️ Potential issueType inconsistency when calling
get_children
In the
child_walker
method,walker.includes
andwalker.excludes
are passed toget_children
asparams
. Ensure that the types ofwalker.includes
andwalker.excludes
are consistent with the expected parameter type ofget_children
. Adjust type annotations or data structures accordingly to maintain type consistency.sqlalchemy_to_json_schema/command/transformer.py (9)
8-8
: Good job importing the 'result' module for structured error handlingThe addition of
from result import Err, Ok, Result
enables the use of theResult
type for more robust error handling. This is a positive change that improves the code's reliability.
22-22
: Update method signatures in subclasses to match the new return typeThe abstract method
transform
now returnsResult[Schema, str]
. Ensure all subclasses correctly override this method with the updated return type to maintain consistency and adhere to the new error handling pattern.
28-28
: Consistent use of 'Result' in 'JSONSchemaTransformer.transform'The
transform
method inJSONSchemaTransformer
correctly returnsResult[Schema, str]
, aligning with the updated abstract method. This consistent use ofResult
enhances error handling across the codebase.
37-37
: Improved error handling by returning 'Err' instead of raising exceptionsReplacing the exception with
return Err(f"Expected a class or module, got {item}")
provides a consistent error handling approach using theResult
type. This avoids interrupting the flow with exceptions and makes error management more predictable.
39-44
: Correctly checking for errors and unwrapping resultsThe code properly checks
if partial_definitions.is_err()
and returns the error if present. On success, it unpacks the result withpartial_definitions.unwrap()
. This pattern ensures that errors are handled gracefully and that only valid data is processed.
Line range hint
76-92
: Consistent error handling in 'OpenAPI2Transformer.transform'The method now returns
Result[Schema, str]
and utilizesErr
andOk
for error management. This aligns with the overall error handling strategy and improves code reliability.
135-135
: Verify the structure of the returned definitions in 'OpenAPI2Transformer'In
transform_by_module
,return Ok(definitions)
is used. Ensure that this return value matches the expected OpenAPI 2 schema structure and that consumers of this method can handle it correctly.To confirm, you might run tests or review the code that consumes this output to ensure compatibility.
152-168
: Effective adaptation to OpenAPI 3 schema requirementsThe
OpenAPI3Transformer
properly overrides thetransform
method, handling errors withResult
and adjusting references to match OpenAPI 3 standards. The use ofreplace_ref
to update$ref
pointers is appropriate and helps maintain compatibility with the OpenAPI 3 specification.
162-166
: Ensure 'components' and 'schemas' keys are correctly initializedThe code checks and initializes the 'components' and 'schemas' keys in the definitions. This is essential for conforming to the OpenAPI 3 schema structure. Good attention to detail.
@@ -32,6 +32,7 @@ pyyaml = ">=5.4" | |||
loguru = ">=0.7" | |||
typing-extensions = ">=4.6" | |||
greenlet = ">=3" | |||
result = "^0.17.0" |
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💡 Codebase verification
Exception-based error handling still present.
The 'result' dependency has been integrated and used in several areas. However, multiple instances of exception-based error handling (raise
, except
, try:
) remain in the codebase. Please ensure that all error handling aligns with the PR objective of using results instead of exceptions.
🔗 Analysis chain
LGTM! Verify integration of the new 'result' dependency.
The addition of the 'result' dependency (version ^0.17.0) aligns with the PR objective of using results instead of exceptions for error handling. This is a good practice for more structured error handling.
To ensure smooth integration, please run the following script to check for any potential conflicts or issues:
This script will help identify where and how the new 'result' dependency is being used, and if there are any remaining exception-based error handling that might need to be updated.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify the integration of the 'result' dependency
# Test: Check if 'result' is imported in the project files
echo "Checking for 'result' imports:"
rg --type python 'from result import' || echo "No imports found"
# Test: Look for usage of Result type or functions
echo "Checking for 'Result' usage:"
rg --type python '\bResult\b' || echo "No direct usage of 'Result' found"
# Test: Check for any remaining exception-based error handling
echo "Checking for exception-based error handling:"
rg --type python '(raise|except|try:)' || echo "No exception-based error handling found"
# Note: These checks provide an overview. Manual review of the results is recommended.
Length of output: 669
Script:
#!/bin/bash
# Description: Verify the integration of the 'result' dependency without specifying file type
# Test: Check if 'result' is imported in the project files
echo "Checking for 'result' imports:"
rg 'from result import' || echo "No imports found"
# Test: Look for usage of Result type or functions
echo "Checking for 'Result' usage:"
rg '\bResult\b' || echo "No direct usage of 'Result' found"
# Test: Check for any remaining exception-based error handling
echo "Checking for exception-based error handling:"
rg '(raise|except|try:)' || echo "No exception-based error handling found"
# Note: These checks provide an overview. Manual review of the results is recommended.
Length of output: 5369
@@ -54,7 +54,7 @@ def test_it_create_schema__and__valid_params__sucess() -> None: | |||
|
|||
def test_it_create_schema__and__invalid_params__failure() -> None: | |||
target = _makeOne() | |||
schema = target(Group, excludes=["pk", "uesrs.pk"]) | |||
schema = target(Group, excludes=["pk", "uesrs.pk"]).unwrap() |
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Approve change and suggest fixing typo in excludes parameter
The addition of .unwrap()
is correct and consistent with the changes in other functions.
There's a typo in the excludes
parameter that might affect the test's effectiveness:
- schema = target(Group, excludes=["pk", "uesrs.pk"]).unwrap()
+ schema = target(Group, excludes=["pk", "users.pk"]).unwrap()
This typo is pre-existing but should be fixed to ensure the test is excluding the intended field.
📝 Committable suggestion
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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.
schema = target(Group, excludes=["pk", "uesrs.pk"]).unwrap() | |
schema = target(Group, excludes=["pk", "users.pk"]).unwrap() |
yield Ok( | ||
( # type: ignore[arg-type] | ||
{"type": "array", "items": {"type": "string"}}, | ||
prop, | ||
{}, | ||
) |
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Fix type inconsistency in yield statement for MANYTOMANY
relationship
In the UseForeignKeyIfPossibleDecision.decision
method, within the elif prop.direction == MANYTOMANY
block, the yield statement returns a tuple where the first element is a dictionary ({"type": "array", "items": {"type": "string"}}
). However, the DecisionResult
expects the first element to be of type ColumnPropertyType
. This inconsistency necessitates the # type: ignore[arg-type]
comment.
Consider defining a new member in ColumnPropertyType
to represent this case (e.g., ColumnPropertyType.ARRAY
) and adjust the yield statement accordingly. This will ensure type consistency and eliminate the need for the type ignore comment.
Apply this diff to correct the issue:
- yield Ok(
- ( # type: ignore[arg-type]
- {"type": "array", "items": {"type": "string"}},
- prop,
- {},
- )
- )
+ yield Ok(
+ (
+ ColumnPropertyType.ARRAY,
+ prop,
+ {"type": "array", "items": {"type": "string"}},
+ )
+ )
Committable suggestion was skipped due to low confidence.
schema = self.transformer(modules_and_models, depth) | ||
|
||
if schema.is_err(): | ||
return Err(schema.unwrap_err()) | ||
|
||
self.dump(schema.unwrap(), filename=filename, format=format) | ||
|
||
return Ok(None) |
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🛠️ Refactor suggestion
Consider handling potential exceptions from the dump
method
While the run
method now handles errors from self.transformer
, consider that self.dump
might raise exceptions (e.g., file I/O errors). To maintain consistent error handling, you could modify dump
to return a Result
type or handle exceptions within run
.
Proposed Change to dump
:
Modify the dump
method to return a Result[None, str]
:
def dump(
self,
data: dict[str, Any],
/,
*,
filename: Optional[Path] = None,
format: Optional[Format] = None,
- ) -> None:
+ ) -> Result[None, str]:
try:
dump_function = yaml.dump if format == Format.YAML else json.dump
if filename is None:
output_stream = sys.stdout
else:
output_stream = filename.open("w")
dump_function(data, output_stream) # type: ignore[operator]
+ return Ok(None)
except Exception as e:
+ return Err(str(e))
Update run
to Handle the Result
from dump
:
schema = self.transformer(modules_and_models, depth)
if schema.is_err():
return Err(schema.unwrap_err())
- self.dump(schema.unwrap(), filename=filename, format=format)
+ dump_result = self.dump(schema.unwrap(), filename=filename, format=format)
+ if dump_result.is_err():
+ return Err(dump_result.unwrap_err())
return Ok(None)
This ensures that any errors from dump
are captured and propagated correctly.
Committable suggestion was skipped due to low confidence.
params: Sequence[str] | None, | ||
/, | ||
*, | ||
splitter: str = ".", | ||
default: Optional[Union[list[str], dict[str, Any]]] = None, | ||
) -> Union[list[str], dict[str, Any], None]: | ||
default: list[str] | None = None, | ||
) -> list[str] | None: | ||
prefix = name + splitter | ||
if hasattr(params, "items"): | ||
if params is None: | ||
raise RuntimeError("params is None") | ||
if isinstance(params, dict): |
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Inconsistent type annotations in get_children
function
The get_children
function specifies params
as Sequence[str] | None
, but the code checks if isinstance(params, dict):
, which is inconsistent with the annotated type. Please update the type annotation of params
to include Mapping[str, Any] | None
if dictionaries are expected, or adjust the conditional checks to align with the annotated types.
if "definitions" in schema: | ||
subdefinitions.update(schema.pop("definitions")) | ||
definitions[schema["title"]] = schema | ||
d = {} | ||
d.update(subdefinitions) | ||
d.update(definitions) | ||
return {"definitions": definitions} | ||
return Ok({"definitions": definitions}) |
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Inconsistent wrapping of 'definitions' in the return statement
In transform_by_module
, you're returning Ok({"definitions": definitions})
, which wraps the definitions
inside another definitions
key. However, in other transformers, you return Ok(definitions)
directly. This inconsistency could lead to confusion or errors when the output is used elsewhere. Consider standardizing the return structure across all transformers.
Apply this diff to align the return statement with other methods:
- return Ok({"definitions": definitions})
+ return Ok(definitions)
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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.
return Ok({"definitions": definitions}) | |
return Ok(definitions) |
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Actionable comments posted: 4
🧹 Outside diff range and nitpick comments (8)
tests/regression/test_generate_schema_with_type_decorator.py (2)
15-15
: Function signature updated correctly.The change to return
Result[Schema, str]
aligns well with the new error handling approach. This clearly indicates that the function can return either aSchema
or an error message.Consider adding or updating the function's docstring to reflect this change in return type and behavior.
52-54
: Test case updated correctly for new Result type.The changes appropriately adapt the test case to the new
Result
-based approach:
- Checking for success using
is_ok(result)
before accessing the value.- Accessing the schema properties via
result.value
.These changes ensure that the test case correctly handles the new error handling mechanism.
Consider adding an additional test case to verify the behavior when an error occurs (i.e., when
is_ok(result)
would returnFalse
).sqlalchemy_to_json_schema/schema_factory.py (5)
Line range hint
124-137
: Improved type safety and standard exception handlingThe changes to the
__getitem__
method are beneficial:
- The return type is now more specific, enhancing type safety.
- Using
KeyError
instead of a custom exception aligns with Python's standard practices for dictionary-like objects.These improvements make the code more predictable and easier to use.
Consider adding a type annotation to the
mapped
variable for even better type clarity:mapped: TypeFormatFn | None = None
272-290
: Robust error handling with Result typeThe changes to
child_schema
method significantly improve error handling:
- The return type
Result[dict[str, Any], str]
allows for explicit error cases.- The new error handling logic (lines 282-285) properly propagates errors from subschema creation.
- Successful results are now wrapped in
Ok(...)
, adhering to the Result pattern.These changes make the method more robust and easier to use safely.
Consider adding a comment explaining the meaning of the error string in the
Err
case:if subschema_result.is_err(): # Propagate the error message from subschema creation return subschema_result
Line range hint
322-345
: Enhanced error handling and configuration validationThe updates to
SchemaFactory.__call__
method bring several improvements:
- The return type
Result[Schema, str]
allows for explicit error reporting.- New error handling for the properties creation process (lines 329-330) ensures that errors are properly propagated.
- The additional check for unused overrides (line 335) helps catch potential misconfigurations.
These changes make the method more robust and help prevent silent errors.
Consider adding more context to the error message for unused overrides:
if overrides_manager.not_used_keys: return Err(f"Invalid overrides: {overrides_manager.not_used_keys}. These keys were not used in schema generation.")
Line range hint
411-478
: Comprehensive error handling in property buildingThe updates to
SchemaFactory._build_properties
method significantly enhance error handling:
- The return type
Result[dict[str, Any], str]
allows for explicit success and failure cases.- New error handling in the decision loop (lines 424-427) provides specific error messages for unsupported properties.
- Consistent use of
Ok(...)
andErr(...)
for return statements improves code clarity.These changes make the method more robust and easier to debug when issues arise.
Consider adding more context to the error message for unsupported column types:
return Err(f"Unsupported column type: {type(column.type)}. Please ensure all column types are supported.")
Line range hint
1-501
: Overall improvements in error handling and type safetyThe changes made to this file represent a significant improvement in error handling and type safety:
- Consistent use of the
Result
type for error handling throughout the file.- More precise type annotations, especially in function return types.
- Better alignment with Python standards (e.g., using
KeyError
instead of custom exceptions).These changes will make the code more robust, easier to debug, and less prone to runtime errors. The consistent error handling pattern will also make it easier for users of this library to handle potential issues.
Consider adding documentation or comments explaining the new error handling pattern, especially if this is a public-facing library. This will help users understand how to properly handle potential errors when using the schema factory.
sqlalchemy_to_json_schema/command/transformer.py (1)
37-37
: Standardize error messages for consistencyThe error messages in lines 37 and 85 use different variable names (
{item}
vs.{target}
):
- Line 37:
return Err(f"Expected a class or module, got {item}")
- Line 85:
return Err(f"Expected a class or module, got {target}")
Consider standardizing the variable names in the error messages to maintain consistency across the transformers.
Also applies to: 85-85
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
⛔ Files ignored due to path filters (1)
poetry.lock
is excluded by!**/*.lock
📒 Files selected for processing (12)
- pyproject.toml (1 hunks)
- sqlalchemy_to_json_schema/command/driver.py (4 hunks)
- sqlalchemy_to_json_schema/command/transformer.py (7 hunks)
- sqlalchemy_to_json_schema/decisions.py (4 hunks)
- sqlalchemy_to_json_schema/schema_factory.py (9 hunks)
- tests/command/test_transformer.py (5 hunks)
- tests/regression/test_generate_schema_with_type_decorator.py (4 hunks)
- tests/test_it.py (3 hunks)
- tests/test_it_reflection.py (3 hunks)
- tests/test_relation.py (4 hunks)
- tests/test_schema_factory.py (8 hunks)
- tests/test_walker.py (5 hunks)
🚧 Files skipped from review as they are similar to previous changes (8)
- pyproject.toml
- sqlalchemy_to_json_schema/decisions.py
- tests/command/test_transformer.py
- tests/test_it.py
- tests/test_it_reflection.py
- tests/test_relation.py
- tests/test_schema_factory.py
- tests/test_walker.py
🧰 Additional context used
🔇 Additional comments (10)
tests/regression/test_generate_schema_with_type_decorator.py (2)
5-5
: LGTM: New import added correctly.The new import
from result import Result, is_ok
is correctly placed and necessary for the changes made in this file.
19-21
: LGTM: Internal changes to_callFUT
are correct.The variable name change to
schema_result
and the direct return of this value are appropriate given the newResult
-based approach. These changes correctly implement the new error handling strategy.sqlalchemy_to_json_schema/command/driver.py (3)
10-10
: LGTM: Importing Result types for improved error handlingThe addition of
Err
,Ok
, andResult
imports from theresult
module is a good step towards implementing structured error handling in theDriver
class.
61-63
: LGTM: Updated return type for build_transformerThe return type of
build_transformer
has been updated to reflect that it now returns aCallable
that produces aResult[Schema, str]
. This change is consistent with the introduction of structured error handling and provides better type information.
Line range hint
1-116
: Overall improvement in error handling, with room for further enhancementThe changes in this file represent a significant improvement in error handling for the
Driver
class. The introduction of theResult
type and its usage in thebuild_transformer
andrun
methods enhance the robustness and type safety of the code.To fully realize the benefits of this new error handling pattern, consider extending it to the
dump
method as suggested in the previous comment. This would provide a consistent approach to error management throughout the class.Great work on improving the code quality! These changes will make the library more reliable and easier to use.
sqlalchemy_to_json_schema/schema_factory.py (2)
29-29
: Improved error handling with Result typeThe addition of
Err, Ok, Result
from theresult
library is a positive change. This will enable more explicit and type-safe error handling throughout the codebase, making it easier to manage and propagate errors.
Line range hint
145-145
: Enhanced type precision in return annotationThe updated return type
tuple[DeclarativeMeta | None, TypeFormatFn | None]
is more precise and explicit. This change improves type safety and makes the function's behavior clearer, especially when dealing with cases where no mapping is found.sqlalchemy_to_json_schema/command/transformer.py (3)
8-8
: Use ofresult
module enhances error handlingImporting
Err
,Ok
, andResult
from theresult
module introduces functional error handling, which improves the robustness and readability of the code.
22-22
: Update method signatures to returnResult[Schema, str]
The method signatures for
transform
inAbstractTransformer
,JSONSchemaTransformer
,OpenAPI2Transformer
, andOpenAPI3Transformer
have been updated to returnResult[Schema, str]
. This change allows for more structured error handling throughout the transformer classes.Also applies to: 28-28, 76-76, 152-152
39-42
: Consistent error propagation usingis_err()
andunwrap()
In both
JSONSchemaTransformer.transform
andOpenAPI2Transformer.transform
, you've effectively usedis_err()
to check for errors andunwrap()
to access successful results. This consistent pattern improves error handling and code clarity.Also applies to: 87-90
|
||
assert is_ok(result) | ||
assert result.unwrap()["properties"]["color"] == {"type": "string", "maxLength": 1} |
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Test case updated for new Result type, but with inconsistent value access.
The changes correctly adapt the test case to the new Result
-based approach:
- Checking for success using
is_ok(result)
before accessing the value. - Accessing the schema properties via
result.unwrap()
.
While these changes ensure that the test case handles the new error handling mechanism, there's an inconsistency in how the result value is accessed compared to the previous test case.
The result.unwrap()
usage here is inconsistent with result.value
used in the previous test case. For consistency, consider using result.value
here as well:
- assert result.unwrap()["properties"]["color"] == {"type": "string", "maxLength": 1}
+ assert result.value["properties"]["color"] == {"type": "string", "maxLength": 1}
Alternatively, if unwrap()
is preferred, update the previous test case to use it as well for consistency across the file.
📝 Committable suggestion
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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 is_ok(result) | |
assert result.unwrap()["properties"]["color"] == {"type": "string", "maxLength": 1} | |
assert is_ok(result) | |
assert result.value["properties"]["color"] == {"type": "string", "maxLength": 1} |
@@ -73,7 +76,7 @@ def run( | |||
filename: Optional[Path] = None, | |||
format: Optional[Format] = None, | |||
depth: Optional[int] = None, | |||
) -> None: | |||
) -> Result[None, str]: |
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🛠️ Refactor suggestion
LGTM: Improved error handling in run method
The run
method has been updated to return a Result[None, str]
and now includes proper error handling for the self.transformer
call. This is a significant improvement in error management.
However, there's still room for improvement in handling potential errors from self.dump
:
Consider updating the dump
method to return a Result
type and handle its potential errors in the run
method. This would provide consistent error handling throughout the class. Here's a suggested implementation:
def dump(self, ...) -> Result[None, str]:
try:
# Existing implementation
return Ok(None)
except Exception as e:
return Err(str(e))
def run(self, ...):
# Existing implementation
dump_result = self.dump(schema.unwrap(), filename=filename, format=format)
if dump_result.is_err():
return Err(dump_result.unwrap_err())
return Ok(None)
This change would ensure that any errors occurring during the dump process are also captured and propagated correctly.
Also applies to: 90-97
|
||
if schema_result.is_err(): | ||
return schema_result | ||
|
||
schema = schema_result.unwrap() | ||
|
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🛠️ Refactor suggestion
Refactor duplicated code into a shared method
The code handling schema_result
in transform_by_module
methods of JSONSchemaTransformer
and OpenAPI2Transformer
is duplicated:
schema_result = self.schema_factory(basemodel, depth=depth)
if schema_result.is_err():
return schema_result
schema = schema_result.unwrap()
Consider refactoring this logic into a shared helper method or moving it to the AbstractTransformer
class to reduce duplication and enhance maintainability.
Also applies to: 119-124
if definitions_result.is_err(): | ||
return Err(definitions_result.unwrap_err()) |
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🛠️ Refactor suggestion
Simplify error propagation in transform
method
In OpenAPI3Transformer.transform
, you unwrap the error only to wrap it again:
if definitions_result.is_err():
return Err(definitions_result.unwrap_err())
You can simplify this by returning the definitions_result
directly when an error occurs:
if definitions_result.is_err():
return definitions_result
This approach maintains consistency with other methods and reduces unnecessary code.
Summary by CodeRabbit
Summary by CodeRabbit
Release Notes
New Features
result
, enhancing error handling across multiple components.Bug Fixes
Tests
Ok
andErr
objects, enhancing clarity and robustness of test cases.