Data-Simply / pyretailscience

pyretailscience - A data analysis and science toolkit for detail data
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feat: improved performance of product assocation calculation #70

Closed mvanwyk closed 4 months ago

mvanwyk commented 4 months ago

PR Type

Enhancement


Description


Changes walkthrough πŸ“

Relevant files
Enhancement
product_association.py
Enhance product association calculation performance and add progress
bar

pyretailscience/product_association.py
  • Replaced csr_matrix with csc_array for sparse matrix operations.
  • Added show_progress parameter to display a progress bar using tqdm.
  • Refactored item combination logic for better performance.
  • Improved handling of duplicate and excluded pairs in association
    calculations.
  • +35/-27 

    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 4 months ago

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    Walkthrough

    The recent updates to the ProductAssociation class significantly enhance its functionality by introducing a show_progress parameter. This addition allows users to enable a progress bar during lengthy calculations, improving the overall user experience. The code has been refactored for clarity and performance, including changes to item combination handling and co-occurrence calculations, along with a shift from csr_matrix to csc_array.

    Changes

    Files Change Summary
    pyretailscience/product_association.py Added show_progress parameter to __init__ and _calc_association methods, enhancing user feedback with a progress bar. Refactored item combination handling and co-occurrence calculations, replacing csr_matrix with csc_array.

    Poem

    In the realm of retail, progress we see,
    With a hop and a skip, as happy as can be!
    A bar to show how far we’ve come,
    Calculations smoother, like a bunny's run.
    Let's cheer for the changes that make us smart,
    In the world of products, we play our part! 🐰✨


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    codiumai-pr-agent-pro[bot] commented 4 months ago

    PR Reviewer Guide πŸ”

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

    Performance Concern
    The use of `tqdm` for progress display might impact performance, especially in non-interactive environments where progress display is not needed. Consider making the use of `tqdm` conditional based on the environment or providing a way to disable it. Code Clarity
    The refactoring introduces complex list comprehensions and nested conditions which might reduce code readability and maintainability. Consider simplifying these constructs or adding more detailed comments explaining the logic.
    codiumai-pr-agent-pro[bot] commented 4 months ago

    PR Code Suggestions ✨

    CategorySuggestion                                                                                                                                    Score
    Performance
    Optimize array operations by using direct methods ___ **Consider using sparse_matrix.sum(axis=0).A1 instead of
    np.array(sparse_matrix.sum(axis=0)).flatten() to avoid unnecessary array conversion
    and directly obtain a flattened array.** [pyretailscience/product_association.py [251]](https://github.com/Data-Simply/pyretailscience/pull/70/files#diff-34242b6721500622d77f1e4153020619582b46985c1d0b01411c4c2400b95cb7R251-R251) ```diff -occurrences = np.array(sparse_matrix.sum(axis=0)).flatten() +occurrences = sparse_matrix.sum(axis=0).A1 ``` - [ ] **Apply this suggestion**
    Suggestion importance[1-10]: 9 Why: This suggestion improves performance by avoiding unnecessary array conversion and directly obtaining a flattened array, which is a more efficient approach.
    9
    Improve performance by using a more suitable sparse matrix format ___ **Replace the use of csc_array with csr_matrix for better performance in dot products,
    which are common in association calculations.** [pyretailscience/product_association.py [43]](https://github.com/Data-Simply/pyretailscience/pull/70/files#diff-34242b6721500622d77f1e4153020619582b46985c1d0b01411c4c2400b95cb7R43-R43) ```diff -from scipy.sparse import csc_array +from scipy.sparse import csr_matrix ``` - [ ] **Apply this suggestion**
    Suggestion importance[1-10]: 8 Why: The suggestion to replace `csc_array` with `csr_matrix` is valid as `csr_matrix` is generally more efficient for arithmetic operations and matrix-vector products, which are common in association calculations.
    8
    Enhancement
    Simplify and enhance the readability of progress tracking ___ **Replace the manual loop for checking progress with the enumerate function to
    simplify the code and potentially enhance readability.** [pyretailscience/product_association.py [266-267]](https://github.com/Data-Simply/pyretailscience/pull/70/files#diff-34242b6721500622d77f1e4153020619582b46985c1d0b01411c4c2400b95cb7R266-R267) ```diff -if show_progress: - items = tqdm(items) +for index, item in enumerate(tqdm(items) if show_progress else items): ``` - [ ] **Apply this suggestion**
    Suggestion importance[1-10]: 7 Why: Using `enumerate` with `tqdm` simplifies the code and enhances readability, but the improvement is minor and does not significantly impact performance or functionality.
    7
    Possible bug
    Prevent bugs related to mutable default arguments ___ **To avoid potential issues with mutable default arguments, consider using a tuple for
    base_items instead of a list.** [pyretailscience/product_association.py [254]](https://github.com/Data-Simply/pyretailscience/pull/70/files#diff-34242b6721500622d77f1e4153020619582b46985c1d0b01411c4c2400b95cb7R254-R254) ```diff -base_items = [target_item] +base_items = (target_item,) ``` - [ ] **Apply this suggestion**
    Suggestion importance[1-10]: 6 Why: Using a tuple instead of a list for `base_items` can prevent potential bugs related to mutable default arguments, although the current context does not show immediate issues with mutability.
    6
    codecov[bot] commented 4 months ago

    Codecov Report

    Attention: Patch coverage is 85.71429% with 3 lines in your changes missing coverage. Please review.

    Files Patch % Lines
    pyretailscience/product_association.py 85.71% 1 Missing and 2 partials :warning:
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    Files Coverage Ξ”
    pyretailscience/product_association.py 85.93% <85.71%> (ΓΈ)

    ... and 8 files with indirect coverage changes