bilaljc/QQgroup-annual-report-analyzer

View on GitHub by @bilaljc

📊 Analyze QQ group chat records to create stunning annual reports with customizable features and AI integration for enhanced insights.

What's novel

📊 Analyze QQ group chat records to create stunning annual reports with customizable features and AI integration for enhanced insights.

Code Analysis

9 files read · 3 rounds

Analyzes QQ group chat JSON exports using Chinese NLP (jieba segmentation, PMI-based new word discovery, entropy filtering) to generate fun annual keyword reports with per-user statistics, AI-powered word selection, and visual HTML/image output via both CLI and web interfaces.

Strengths

Genuine NLP pipeline with custom PMI/entropy word discovery and conditional probability merging, plus a thoughtful streaming JSON parser for large files. The 14+ fun ranking categories and personal social-graph analysis (reply intervals, chain repeats, @ relationships) show real depth beyond simple word counting.

Weaknesses

No test suite exists, the README describes a non-existent .exe/.dmg installer instead of the actual Python+Vue project, and the backend app.py is a 41kb monolith with global mutable config state that creates thread-safety risks.

Score Breakdown

Innovation

5 (25%)

Craft

55 (35%)

Traction

8 (15%)

Scope

71 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+1

Concept Novelty+1

Craft

Ci-1

Tests-1

Polish+1

Releases+0

Has License+5

Code Quality+17

Readme Quality+15

Recent Activity+7

Structure Quality+5

Commit Consistency+2

Has Dependency Mgmt+5

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+0

Early Traction+0

Devto Reactions+0

Community Contribs+2

Scope

Commits+8

Languages+8

Subsystems+13

Bloat Penalty+0

Completeness+7

Contributors+7

Authored Files+12

Readme Code Match+3

Architecture Depth+7

Implementation Depth+8

Evidence

Commits

Contributors

Files

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

NOASSERTION