bappaditya-paul / west-tripura-testing
pythonmain3f8ee0811.2K linessynced 22h ago
Code health
8.2out of 10Excellent
This codebase scores 8.2 out of 10 on defect risk, which we rate excellent. It also scores maintainability 8.6 and static performance risk 9.5 out of 10. The three are scored separately and never blended into one number. The files you change most are the weak spot: 3 of 121 files are git hotspots, and they average 6.8.
- Lines of code
- 11.2K
Recent activity
All commitsNeeds attention
25 open- medium severity. ProposedEncode spaces/unsafe characters in URL paths before using aiohttp/requestsAuto-proposed decision awaiting review
- medium severity. ProposedUse a regex-based (non-AST) Markdown parser for performanceAuto-proposed decision awaiting review
- medium severity. Ungovernedbackend/services/rag_service.pyHigh-churn file with no governing decision
- medium severity. Ungovernedsrc/ingestion/crawler.pyHigh-churn file with no governing decision
- medium severity. Ungovernedtelegram_bot.pyHigh-churn file with no governing decision
Where the risk concentrates
All 3 hotspotsRanked by prior bug fixes and change frequency, mined from full git history rather than from the code alone.
| File | Churn | Prior fixes | Maintainers | Commits 90d |
|---|---|---|---|---|
| rag_service.pybackend/services | 99.1th | 0 | 2bus factor 1 | 5 |
| crawler.pysrc/ingestion | 98.2th | 0 | 1bus factor 1 | 5 |
| telegram_bot.py | 97.3th | 1 | 2 | 4 |
Composition
Open the graphpython 92%markdown 4%yaml 2%shell 2%dockerfile 1%
Explore this codebase
- Docs163 pages across 5 modules
- ChatAsk this codebase a question and get an answer with its sources
- Files121 files with per-file docs, health and history
- ArchitectureDependency graph, layers, and 4 entry points
- Code healthPer-file scores, 287 open findings, coverage and refactoring targets
- Knowledge graphEntities, communities, and the paths between them
- Change couplingFiles that keep changing together, mined from commit history
- CommitsChange-risk ranked history with agent provenance
- ContributorsBus factor, per-file maintainers, and the human/agent split
- StatsSize class, origin, lifetime churn, rhythm and records
- CostsWhat indexing this snapshot cost, by model and by run