product association

[mayurkmmt]

User description

fix: added function to convert ibis tablee into df

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PR Type

Enhancement, Tests

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Description

• Refactored ProductAssociation class to improve data handling.

• Added a property method to execute and return DataFrame.

• Updated tests to align with the refactored class structure.

• Improved code readability and consistency in method usage.

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Changes walkthrough 📝

	Relevant files
Enhancement	product_association.py Refactored `ProductAssociation` class for better data handling pyretailscience/analysis/product_association.py Introduced _df attribute and df property for DataFrame execution. Replaced self.df with self.table for internal association calculations. Adjusted _calc_association method to return a sorted and renamed result. Improved method consistency and added a property for lazy DataFrame execution. +17/-5
Tests	test_product_association.py Updated tests for refactored `ProductAssociation` class    tests/analysis/test_product_association.py Updated tests to use the refactored ProductAssociation class. Replaced direct method calls with class instantiation and df property. Ensured tests validate results against the executed DataFrame. Improved test consistency with the new class structure. +21/-16

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Summary by CodeRabbit

• Refactor

  • Streamlined the processing logic for product association calculations, leading to more consistent and efficient result ordering and mapping.

• Tests

  • Updated test scenarios to validate the new instance-based workflow, ensuring reliable and accurate outcomes.

[coderabbitai]

Walkthrough

The changes update the ProductAssociation class by introducing a new private attribute _df and renaming the original df attribute to table within the constructor. The _calc_association method now utilizes order_by for sorting and performs column renaming in a single call. A new property method df is added to execute and return the DataFrame when needed. Additionally, the test suite now instantiates the ProductAssociation class directly and accesses the association results via the new df property.

Changes

File	Change Summary
pyretailscience/analysis/product_association.py	Introduced _df as a private attribute; renamed df to table in the constructor; added a new df property method; modified _calc_association to use order_by and a single rename.
tests/analysis/test_product_association.py	Updated tests to instantiate ProductAssociation directly and access association results via the new df property, with assertions adjusted accordingly.

Sequence Diagram(s)

sequenceDiagram
    participant Test as Test Suite
    participant PA as ProductAssociation
    participant DF as DataFrame Executor

    Test->>PA: Instantiate ProductAssociation
    PA->>PA: Call _calc_association to build table
    Test->>PA: Access df property
    PA->>PA: Check if _df is None
    PA->>DF: Execute table and reset index
    DF-->>PA: Return DataFrame
    PA-->>Test: Provide DataFrame via df property

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Possibly related PRs

• feat: improved performance of product assocation calculation #70: Modifies the constructor and _calc_association method, aligning closely with the changes in this PR.
• Product Association #131: Directly alters the ProductAssociation class’s constructor and method, indicating a strong code-level connection.
• product association #142: Adjusts the constructor and _calc_association method by removing parameters, directly relating to this PR.

Suggested labels

enhancement, Tests, Review effort [1-5]: 3

Suggested reviewers

• murray-ds

Poem

In a garden of code, I hop with delight,
Tweaking and toggling from morning to night.
A new property sings, and tests now gleam bright,
With order_by magic, everything’s just right.
From _df to table, let our logic take flight!
Happy coding, dear friend, amidst lines so tight.
🐰🌟

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📜 Recent review details

Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 919ad00 and 8133202.

📒 Files selected for processing (2)

• pyretailscience/analysis/product_association.py (4 hunks)
• tests/analysis/test_product_association.py (6 hunks)

🧰 Additional context used

🧬 Code Definitions (1)

tests/analysis/test_product_association.py (1)

pyretailscience/analysis/product_association.py (2) (2)

• ProductAssociation (44-335)
• df (331-335)

🔇 Additional comments (11)

pyretailscience/analysis/product_association.py (4)

83-84: Good addition of a private attribute for lazy evaluation.

Adding the _df private attribute initialized to None enables lazy execution of the ibis table, which is a performance improvement. This follows good practices for handling potentially costly computations.

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129-129: Appropriate renaming of attribute from df to table.

Renaming from self.df to self.table more accurately represents that the attribute stores an ibis Table rather than a pandas DataFrame. This improves code clarity and makes the distinction between the ibis Table and the actual DataFrame clearer.

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310-316: Good optimization using ibis operations.

This change improves performance by:

1. Using order_by instead of .execute().sort_values(), which keeps operations within the ibis query engine
2. Consolidating the column renaming into a single dictionary-based call

These changes avoid premature execution of the ibis table and make the code more concise.

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330-335: Well-implemented property method for lazy evaluation.

The df property method implements the lazy evaluation pattern correctly:

1. Only executes the table when the DataFrame is first accessed
2. Caches the result to avoid redundant computation
3. Ensures consistent output by resetting the index

This matches the PR objective of adding a function to convert an ibis table into a DataFrame.

tests/analysis/test_product_association.py (7)

109-115: Test properly updated to use the class instance.

The test now correctly instantiates the ProductAssociation class directly instead of calling the static method, and accesses the result through the new df property. This better reflects how the class would be used in practice.

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121-128: Test properly updated to use the class instance with target item parameter.

This test now correctly instantiates the ProductAssociation class with the target item parameter and accesses results through the df property, which is consistent with the new class design.

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139-146: Test properly updated to use the class instance with min_occurrences parameter.

The test now correctly instantiates the ProductAssociation class with the min_occurrences parameter and accesses results through the df property, aligning with the new class design.

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159-166: Test properly updated to use the class instance with min_cooccurrences parameter.

The test now correctly instantiates the ProductAssociation class with the min_cooccurrences parameter and accesses results through the df property, consistent with the new class design.

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178-185: Test properly updated to use the class instance with min_support parameter.

The test now correctly instantiates the ProductAssociation class with the min_support parameter and accesses results through the df property, aligning with the new class design.

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197-204: Test properly updated to use the class instance with min_confidence parameter.

The test now correctly instantiates the ProductAssociation class with the min_confidence parameter and accesses results through the df property, consistent with the new class design.

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216-223: Test properly updated to use the class instance with min_uplift parameter.

The test now correctly instantiates the ProductAssociation class with the min_uplift parameter and accesses results through the df property, aligning with the new class design.

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PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 2 🔵🔵⚪⚪⚪

🧪 PR contains tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Column Renaming The renaming logic in _calc_association method may cause inconsistency. The method renames columns from "item_1"/"item_2" to value_col_1/value_col_2, but then immediately tries to return columns with value_col_1/value_col_2 names. final_result = final_result.rename( { f"{value_col}_1": "item_1", f"{value_col}_2": "item_2", }, ) return final_result[ [ f"{value_col}_1", f"{value_col}_2", Lazy Loading The df property implements lazy loading of the DataFrame, but there's no mechanism to invalidate the cached _df if the underlying table changes. This could lead to stale data being returned. @property def df(self) -> pd.DataFrame: """Returns the executed DataFrame.""" if self._df is None: self._df = self.table.execute().reset_index(drop=True) return self._df

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PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
Possible issue	Fix column renaming logic The column renaming logic is reversed. You're trying to rename "item_1" to "value_col_1", but the code is doing the opposite. This will cause the returned DataFrame to have incorrect column names. pyretailscience/analysis/product_association.py [310-316] final_result = result.order_by(["item_1", "item_2"]) final_result = final_result.rename( { - f"{value_col}_1": "item_1", - f"{value_col}_2": "item_2", + "item_1": f"{value_col}_1", + "item_2": f"{value_col}_2", }, ) Apply this suggestion Suggestion importance[1-10]: 10 __ Why: The suggestion correctly identifies a critical bug in the column renaming logic. The current code is trying to rename f"{value_col}_1" to "item_1" when it should be the opposite. This would cause the method to fail when trying to access columns that don't exist after renaming.	High
	Fix column selection After the incorrect column renaming, the method tries to select columns that don't exist in the DataFrame. This will cause an error when the code is executed because the columns were renamed incorrectly. pyretailscience/analysis/product_association.py [317-328] return final_result[ [ - f"{value_col}_1", - f"{value_col}_2", + "item_1", + "item_2", "occurrences_1", "occurrences_2", "cooccurrences", "support", "confidence", "uplift", ] ] Apply this suggestion Suggestion importance[1-10]: 9 __ Why: This suggestion correctly identifies a follow-up issue caused by the first bug. After the incorrect column renaming, the code tries to select columns with names that no longer exist, which would cause a runtime error. This is a critical fix that's directly related to the first issue.	High
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Codecov Report

Attention: Patch coverage is 88.88889% with 1 line in your changes missing coverage. Please review.

Files with missing lines	Patch %	Lines
pyretailscience/analysis/product_association.py	88.88%	0 Missing and 1 partial ⚠️

Files with missing lines	Coverage Δ
pyretailscience/analysis/product_association.py	91.93% <88.88%> (+4.43%)	⬆️

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