Add pylint workflow - #3
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* Add docstrings and lint fixes for backend modules * Fix lint issues for security and user modules
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* Add prompt evaluation system for keyword extraction benchmarking - Implement automated prompt evaluation framework with Jaccard similarity scoring - Add dataset generator: creates ground truth test cases from keywords using LLM - Add prompt evaluator: tests prompts against dataset and calculates metrics - Add batch evaluator: compares multiple prompts and generates ranking report - Create 6 alternative prompt variations for testing (v1-v6) - Add metrics module with Jaccard similarity calculation and keyword normalization - Include rate limiting support (configurable delay) for API requests - Organize outputs: default paths use evaluation_data/ and evaluation_results/ directories - Update .gitignore to exclude evaluation data and results directories The system enables systematic benchmarking of keyword extraction prompts, with prompt_v1_concise showing 4.6x improvement over baseline (0.3465 vs 0.0747 Jaccard score). * FIXES MADE BY CURSOR - fixed pylint * Add comprehensive prompt engineering evaluation system with best practices testing - Add 10 new prompt variants (v7-v16) systematically testing prompt engineering best practices: * Individual practices: persona, delimiters, explicit steps, few-shot examples, detailed instructions, format specification * Combined practices: persona+examples, steps+delimiters, persona+steps+examples, all best practices - Expand evaluation dataset from 10 to 28 test cases covering diverse ML/NLP/CV domains - Enhance metrics module with Precision, Recall, and F1 score calculations - Update evaluation scripts to calculate and report all metrics (Jaccard, Precision, Recall, F1) - Update prompts README with documentation of new variants and best practices tested - Results show 3.8x improvement over baseline with best-performing prompt (prompt_v2_single_words) * fixed pylint #1 * fixed pylint #2 * fixed pylint #3 * fixed error in OpenAI provider * fixed the one trailing white space, which caused the pylint to reject this minor change (had 9.99/10 code quality) * revert changes in openAI provider.py --------- Co-authored-by: Tobias Geilen <tgeilen@mail.uni-mannheim.de> Co-authored-by: Moritz <moritzschmidt1@gmail.com>
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