Data-Simply / pyretailscience

pyretailscience - A data analysis and science toolkit for detail data
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fix: gain loss calc error with negative values #56

Closed mvanwyk closed 5 months ago

mvanwyk commented 5 months ago

PR Type

Bug fix, Tests, Documentation


Description


Changes walkthrough πŸ“

Relevant files
Enhancement
gain_loss.py
Refactor gain loss calculation and add documentation         

pyretailscience/gain_loss.py
  • Added detailed module-level docstring explaining gain loss analysis.
  • Introduced process_customer_group method to handle customer group
    processing.
  • Refactored _calc_gain_loss method to use process_customer_group.
  • Improved error messages and added type hints.
  • +99/-25 
    Tests
    test_gain_loss.py
    Add parameterized tests for process_customer_group method

    tests/test_gain_loss.py
  • Removed old tests and sample data.
  • Added parameterized tests for process_customer_group.
  • +60/-148

    πŸ’‘ PR-Agent usage: Comment /help on the PR to get a list of all available PR-Agent tools and their descriptions

    Summary by CodeRabbit

    coderabbitai[bot] commented 5 months ago

    Walkthrough

    The GainLoss class in pyretailscience/gain_loss.py has been enhanced to explain gain loss analysis in detail. The __init__ method now explicitly returns None, and a new static method, process_customer_group, has been introduced to refine gain loss calculations. Corresponding updates in _calc_gain_loss utilize this new method. Test cases in tests/test_gain_loss.py have also been updated to validate various scenarios, ensuring robust functionality.

    Changes

    File Change Summary
    pyretailscience/gain_loss.py Added detailed explanation, return type to __init__, and process_customer_group method. Refactored _calc_gain_loss to use the new method.
    tests/test_gain_loss.py Enhanced test cases for process_customer_group, covering diverse scenarios and validating various conditions.

    Poem

    In the realm of code so fine, πŸ‡
    Gain and loss, we now define. πŸ“Š
    A static method, clear and bright, 🌟
    Processes groups with calculating might! πŸ’»
    Tests ensure no bugs take flight. πŸš€
    Every customer counts, that's right! 🌈


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    codiumai-pr-agent-pro[bot] commented 5 months ago

    PR Reviewer Guide πŸ”

    ⏱️ Estimated effort to review: 3 πŸ”΅πŸ”΅πŸ”΅βšͺβšͺ
    πŸ§ͺ PR contains tests
    πŸ”’ No security concerns identified
    ⚑ Key issues to review

    **Refactoring:** The refactoring of `_calc_gain_loss` to use `process_customer_group` should be thoroughly tested to ensure that the logic for calculating gains and losses remains correct. **Documentation:** Ensure that the newly added documentation in `gain_loss.py` is clear and accurately describes the functionality and usage of the module and methods.
    codiumai-pr-agent-pro[bot] commented 5 months ago

    PR Code Suggestions ✨

    CategorySuggestion                                                                                                                                    Score
    Possible issue
    Remove the invalid strict=False parameter from the zip function ___ **The strict=False parameter in the zip function is not necessary and should be removed to
    avoid confusion, as it is not a valid parameter for zip.** [pyretailscience/gain_loss.py [226]](https://github.com/Data-Simply/pyretailscience/pull/56/files#diff-bcf245edc79a21d026c9a33bdef67631b8eee1219f3552da55e900906ba27223R226-R226) ```diff -strict=False, +# Removed line ``` - [ ] **Apply this suggestion**
    Suggestion importance[1-10]: 10 Why: This suggestion correctly points out an invalid parameter in the `zip` function call, which could potentially lead to confusion or errors. Removing it avoids possible issues in the future.
    10
    Add test cases with invalid or edge-case inputs to ensure robust handling of such scenarios ___ **To ensure that the GainLoss.process_customer_group method handles invalid inputs
    gracefully, add test cases with invalid or edge-case inputs such as negative values for
    focus_p1 and comparison_p1.** [tests/test_gain_loss.py [9]](https://github.com/Data-Simply/pyretailscience/pull/56/files#diff-942ce7636d093d390ac7428ee0da4be409652ca1d975f6ca6a826b926bd8a6f4R9-R9) ```diff -(0, 0, 100, 0, 100, 0, (100, 0, 0, 0, 0, 0)), +(0, -10, 100, 0, 100, 0, (100, 0, 0, 0, 0, 0)), ``` - [ ] **Apply this suggestion**
    Suggestion importance[1-10]: 8 Why: Adding test cases for invalid or edge-case inputs like negative values is crucial for ensuring the robustness of the method under test.
    8
    Ensure that focus_p1, comparison_p1, focus_p2, and comparison_p2 are non-negative before processing ___ **Add a check to ensure that focus_p1, comparison_p1, focus_p2, and comparison_p2 are
    non-negative before processing, as negative values might indicate data issues.** [pyretailscience/gain_loss.py [122]](https://github.com/Data-Simply/pyretailscience/pull/56/files#diff-bcf245edc79a21d026c9a33bdef67631b8eee1219f3552da55e900906ba27223R122-R122) ```diff +if any(val < 0 for val in [focus_p1, comparison_p1, focus_p2, comparison_p2]): + raise ValueError("focus_p1, comparison_p1, focus_p2, and comparison_p2 must be non-negative") if focus_p1 == 0 and comparison_p1 == 0: ``` - [ ] **Apply this suggestion**
    Suggestion importance[1-10]: 8 Why: This suggestion addresses a potential data integrity issue by ensuring that input values are non-negative before processing. This is crucial for maintaining the accuracy and reliability of the gain loss calculations.
    8
    Add a test case for the scenario where both differences are zero but initial and final values differ ___ **Add a test case to cover the scenario where both focus_diff and comparison_diff are zero,
    but the initial and final values are different. This will ensure that the function handles
    such edge cases correctly.** [tests/test_gain_loss.py [37]](https://github.com/Data-Simply/pyretailscience/pull/56/files#diff-942ce7636d093d390ac7428ee0da4be409652ca1d975f6ca6a826b926bd8a6f4R37-R37) ```diff -(100, 100, 100, 100, 0, 0, (0, 0, 0, 0, 0, 0)), +(50, 100, 50, 100, 0, 0, (0, 0, 0, 0, 0, 0)), ``` - [ ] **Apply this suggestion**
    Suggestion importance[1-10]: 6 Why: Adding a test case to cover scenarios where differences are zero but initial and final values differ is a good practice to catch edge cases, although the existing tests already cover similar scenarios.
    6
    Best practice
    Use more descriptive variable names in the parameterized test cases to improve readability ___ **To improve readability and maintainability, consider using descriptive variable names for
    the parameters in the @pytest.mark.parametrize decorator. This will make the test cases
    easier to understand at a glance.** [tests/test_gain_loss.py [6]](https://github.com/Data-Simply/pyretailscience/pull/56/files#diff-942ce7636d093d390ac7428ee0da4be409652ca1d975f6ca6a826b926bd8a6f4R6-R6) ```diff -"focus_p1, comparison_p1, focus_p2, comparison_p2, focus_diff, comparison_diff, expected", +"focus_period1, comparison_period1, focus_period2, comparison_period2, focus_difference, comparison_difference, expected_result", ``` - [ ] **Apply this suggestion**
    Suggestion importance[1-10]: 7 Why: The suggestion to use more descriptive variable names in the parameterized test cases is valid and would improve code readability and maintainability.
    7
    Rename the test function to be more descriptive ___ **To improve the clarity of the test function, consider renaming test_process_customer_group
    to something more descriptive, such as test_gain_loss_process_customer_group.** [tests/test_gain_loss.py [54]](https://github.com/Data-Simply/pyretailscience/pull/56/files#diff-942ce7636d093d390ac7428ee0da4be409652ca1d975f6ca6a826b926bd8a6f4R54-R54) ```diff -def test_process_customer_group( +def test_gain_loss_process_customer_group( ``` - [ ] **Apply this suggestion**
    Suggestion importance[1-10]: 5 Why: Renaming the test function to be more descriptive could help improve clarity, but the current name is already quite clear about what the function tests.
    5
    Maintainability
    Simplify the multiplication operation by using a unary minus for consistency ___ **The check for focus_p2 == 0 and comparison_p2 == 0 should return 0, -focus_p1, 0, 0, 0, 0
    instead of 0, -1 * focus_p1, 0, 0, 0, 0 for consistency and readability.** [pyretailscience/gain_loss.py [125]](https://github.com/Data-Simply/pyretailscience/pull/56/files#diff-bcf245edc79a21d026c9a33bdef67631b8eee1219f3552da55e900906ba27223R125-R125) ```diff -return 0, -1 * focus_p1, 0, 0, 0, 0 +return 0, -focus_p1, 0, 0, 0, 0 ``` - [ ] **Apply this suggestion**
    Suggestion importance[1-10]: 7 Why: The suggestion correctly identifies a minor readability improvement in the code by simplifying the multiplication operation. This change makes the code slightly more readable and consistent.
    7
    Performance
    Store the result of comparison_diff + focus_diff in a variable to avoid redundant calculations ___ **Instead of using max(0, comparison_diff + focus_diff) and min(0, comparison_diff +
    focus_diff), consider storing the result of comparison_diff + focus_diff in a variable to
    avoid redundant calculations.** [pyretailscience/gain_loss.py [128-132]](https://github.com/Data-Simply/pyretailscience/pull/56/files#diff-bcf245edc79a21d026c9a33bdef67631b8eee1219f3552da55e900906ba27223R128-R132) ```diff -focus_inc_dec = focus_diff if comparison_diff > 0 else max(0, comparison_diff + focus_diff) +combined_diff = comparison_diff + focus_diff +focus_inc_dec = focus_diff if comparison_diff > 0 else max(0, combined_diff) ... -focus_inc_dec = min(0, comparison_diff + focus_diff) +focus_inc_dec = min(0, combined_diff) ```
    Suggestion importance[1-10]: 6 Why: The suggestion improves the performance by reducing redundant calculations, which is a good practice for cleaner and potentially faster code. However, the impact on performance might be minor given the context.
    6
    mvanwyk commented 5 months ago

    /describe --pr_description.publish_labels=true --pr_description.publish_description_as_comment=true --pr_description.generate_ai_title=true

    codiumai-pr-agent-pro[bot] commented 5 months ago

    Title

    Refactor gain/loss calculation and add parameterized tests


    PR Type

    Bug fix, Tests


    Description


    Changes walkthrough πŸ“

    Relevant files
    Enhancement
    gain_loss.py
    Refactor gain/loss calculation and add detailed docstrings.

    pyretailscience/gain_loss.py
  • Added detailed module-level docstring explaining gain loss analysis.
  • Introduced process_customer_group method to handle gain/loss
    calculations.
  • Refactored _calc_gain_loss to use process_customer_group.
  • Improved error messages and added type hints.
  • +99/-25 
    Tests
    test_gain_loss.py
    Add parameterized tests for gain/loss processing.               

    tests/test_gain_loss.py
  • Removed old tests and sample data fixture.
  • Added parameterized tests for process_customer_group.
  • +60/-148

    πŸ’‘ PR-Agent usage: Comment /help on the PR to get a list of all available PR-Agent tools and their descriptions