find common tags

[misrasaurabh1]

PR Type

Enhancement, Tests

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Description

• Add common tags computation utility

• Implement tests for multiple article sets

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Diagram Walkthrough

flowchart LR
  A["Articles list"] -- "iterate and intersect tags" --> B["Common tags list"]
  B["Common tags list"] -- "convert to set" --> C["Result set"]
  T1["Unit tests"] -- "validate for 3 and 4 articles" --> B

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File Walkthrough

	Relevant files
Enhancement	common_tags.py Introduce common tags utility function                                      codeflash/result/common_tags.py Introduce find_common_tags function. Handle empty input returning empty set. Iteratively intersect tags across articles. Return result as a set of strings. +11/-0
Tests	test_common_tags.py Add tests for common tags utility                                                tests/test_common_tags.py Add unit test for three-article case. Reuse expected set for four-article case. Validate identical common tags across inputs. +22/-0

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[github-actions]

PR Reviewer Guide 🔍

Here are some key observations to aid the review process:

⏱️ Estimated effort to review: 1 🔵⚪⚪⚪⚪

🧪 PR contains tests

🔒 No security concerns identified

⚡ Recommended focus areas for review Algorithmic Efficiency The current approach filters a list repeatedly, resulting in O(nmk) behavior. Consider using set intersections to reduce complexity and improve readability, especially as article counts or tag lists grow. common_tags = articles[0].get("tags", []) for article in articles[1:]: common_tags = [tag for tag in common_tags if tag in article.get("tags", [])] return set(common_tags) Input Robustness The function assumes articles contain a 'tags' list of strings. If tags include duplicates or non-string items, behavior may be unexpected. Consider normalizing to sets and validating types or documenting expectations. def find_common_tags(articles: list[dict[str, list[str]]]) -> set[str]: if not articles: return set() common_tags = articles[0].get("tags", []) for article in articles[1:]: common_tags = [tag for tag in common_tags if tag in article.get("tags", [])] return set(common_tags)

[github-actions]

PR Code Suggestions ✨

Explore these optional code suggestions:

Category	Suggestion	Impact
General	Use set intersections Convert to set intersection to avoid O(n^2) scans and handle duplicates deterministically. This also avoids repeated list rebuilds and yields the final set directly. codeflash/result/common_tags.py [8-11] -common_tags = articles[0].get("tags", []) +common_tags = set(articles[0].get("tags", [])) for article in articles[1:]: - common_tags = [tag for tag in common_tags if tag in article.get("tags", [])] -return set(common_tags) + common_tags &= set(article.get("tags", [])) +return common_tags Suggestion importance[1-10]: 8 __ Why: Correctly replaces list filtering with set intersections, improving performance and handling duplicates while preserving behavior. The 'existing_code' matches the new hunk and the 'improved_code' accurately reflects the suggested change.	Medium

[codeflash-ai]

This PR is now faster! 🚀 Saurabh Misra accepted my code suggestion above.