FaserF / hass-valetudo
pythonmaster0aa3a704.3K linessynced 14h ago
Code health
5.4out of 10Fair
This codebase scores 5.4 out of 10 on defect risk, which we rate fair. It also scores maintainability 7.5 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: 2 of 35 files are git hotspots, and they average 2.9.
- Lines of code
- 4.3K
Recent activity
All commitsCommits
No commits indexed yet.
Decisions
No decisions extracted yet.
Needs attention
19 open- medium severity. Ungoverned.github/scripts/update_templates.pyHigh-churn file with no governing decision
- medium severity. Ungovernedcustom_components/valetudo/device_utils.pyHigh-churn file with no governing decision
- medium severity. Knowledge silo.github/scripts/calculate_release_details.py98% single-owner concentration
- medium severity. Knowledge silo.github/scripts/changelog_builder.py100% single-owner concentration
- medium severity. Knowledge silo.github/scripts/version_manager.py99% single-owner concentration
Where the risk concentrates
All 2 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 |
|---|---|---|---|---|
| device_utils.pycustom_components/valetudo | 85.0th | 5bug magnet | 2bus factor 1 | 3 |
| update_templates.py.github/scripts | 80.0th | 1 | 2 | 3 |
Composition
Open the graphpython 54%yaml 20%json 14%markdown 9%javascript 3%
Explore this codebase
- Docs35 pages across 3 modules
- ChatAsk this codebase a question and get an answer with its sources
- Files35 files with per-file docs, health and history
- ArchitectureDependency graph, layers, and 0 entry points
- Code healthPer-file scores, 131 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