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Implement useful friends metrics script for programming interest detection#179

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konard wants to merge 3 commits into
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issue-43-417312be
Open

Implement useful friends metrics script for programming interest detection#179
konard wants to merge 3 commits into
mainfrom
issue-43-417312be

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@konard konard commented Sep 22, 2025

Summary

This PR implements a comprehensive metrics script that analyzes VK friends to identify those with programming interests or technical backgrounds, addressing issue #43.

Key Features

  • Multi-criteria Analysis: Evaluates friends based on education, occupation, and profile content
  • Intelligent Scoring System: Uses weighted scoring with configurable threshold (≥2 points = "useful")
  • Smart Keyword Detection: Prevents false positives using word boundaries for short keywords
  • Comprehensive Reporting: Generates detailed reports with friend rankings and analysis reasons
  • API Rate Limiting: Respects VK API limits with proper batching and delays

Implementation Details

Analysis Criteria

  • Education (3-2 points): Tech universities (MIT, МГТУ, etc.) and CS/IT faculties
  • Occupation (4 points): Programming/tech job titles (developer, engineer, data scientist, etc.)
  • Profile Text (1-2 points): Programming keywords in interests, activities, and about sections

Technical Features

  • Batch processing (100 friends per API call)
  • Word boundary detection for accurate keyword matching
  • JSON report generation with detailed friend information
  • Comprehensive test suite with 19 test cases
  • Example usage script for validation

Files Added

  • useful-friends-metrics.js - Main analysis script
  • __tests__/useful-friends-metrics.test.js - Comprehensive test suite
  • experiments/test-useful-friends-metrics.js - Example usage and validation
  • useful-friends-metrics-usage.md - Documentation and usage instructions

Usage

node useful-friends-metrics.js

Generates console output with summary statistics and saves detailed results to useful-friends-report.json.

Test Coverage

All core functionality is tested including:

  • Keyword detection accuracy
  • Scoring algorithm correctness
  • Education/occupation analysis
  • Edge cases and error handling
npm test useful-friends-metrics.test.js

🤖 Generated with Claude Code

Adding CLAUDE.md with task information for AI processing.
This file will be removed when the task is complete.

Issue: #43
@konard konard self-assigned this Sep 22, 2025
…ction

- Add comprehensive analysis system that evaluates friends based on:
  * Educational background (tech universities and CS/IT faculties)
  * Occupation (programming/tech-related jobs)
  * Profile content (interests, activities, about sections)

- Features intelligent keyword detection with word boundaries to prevent false positives
- Uses weighted scoring system with configurable threshold for "useful" friends
- Generates detailed reports with friend rankings and analysis reasons
- Includes comprehensive test suite and example usage
- Respects VK API rate limits with proper batching and delays

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
@konard konard changed the title [WIP] useful friends metric script Implement useful friends metrics script for programming interest detection Sep 22, 2025
@konard konard marked this pull request as ready for review September 22, 2025 19:58
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