FaserF / ha-pepper
pythonmain8a930416.4K linessynced 14h ago
Code health
7.3out of 10Good
This codebase scores 7.3 out of 10 on defect risk, which we rate good. It also scores maintainability 8.4 and static performance risk 9.9 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 51 files are git hotspots, and they average 2.7.
- Lines of code
- 6.4K
Recent activity
All commitsCommits
No commits indexed yet.
Needs attention
17 open- medium severity. ProposedAvoid double-login by persisting session stateAuto-proposed decision awaiting review
- medium severity. Ungovernedcustom_components/pepper/binary_sensor.pyHigh-churn file with no governing decision
- medium severity. Ungovernedcustom_components/pepper/pepper_api.pyHigh-churn file with no governing decision
- medium severity. Ungovernedcustom_components/pepper/sensor.pyHigh-churn file with no governing decision
- medium severity. Knowledge silo.github/scripts/bump_version.py100% single-owner concentration
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 |
|---|---|---|---|---|
| sensor.pycustom_components/pepper | 95.7th | 1 | 2bus factor 1 | 13 |
| pepper_api.pycustom_components/pepper | 91.3th | 3 | 2bus factor 1 | 13 |
| binary_sensor.pycustom_components/pepper | 87.0th | 1 | 2bus factor 1 | 8 |
Composition
Open the graphpython 45%yaml 24%markdown 18%json 12%toml 2%
Explore this codebase
- Docs42 pages across 5 modules
- ChatAsk this codebase a question and get an answer with its sources
- Files51 files with per-file docs, health and history
- ArchitectureDependency graph, layers, and 1 entry points
- Code healthPer-file scores, 157 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