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repowiseFaserF/ha-oraclecloud

FaserF / ha-oraclecloud

python3github.com/FaserF/ha-oraclecloud
Indexed at90c36c3·16d ago·Up to date with upstream
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Code health

6.9out of 10Fair

FaserF/ha-oraclecloud scores 6.9 out of 10 on defect risk, which Repowise rates Fair. Maintainability scores 8.4 out of 10. Static performance risk scores 9.9 out of 10. The three are scored separately and never blended into a single number. 5 of 46 files are git hotspots, the places where changes and bug fixes concentrate.

Full health report
Defect risk6.9/10 · Fair
Maintainability8.4/10 · Good
Performance risk9.9/10 · Excellent
Files
46
Symbols
145
Modules
4
Doc pages
34
Dead exports
5

Where the risk concentrates

All 5 hotspots

Ranked by prior bug fixes and change frequency, mined from the full git history rather than from the code alone.

FileChurnPrior fixesMaintainersCommits 90d
__init__.pycustom_components/oraclecloud76.0th %ile10bug magnet2bus factor 115
coordinator.pycustom_components/oraclecloud96.0th %ile8bug magnet2bus factor 114
test_coordinator.pytests80.0th %ile22bus factor 110
generate_changelog.pyscripts88.0th %ile12bus factor 17
update_templates.py.github/scripts92.0th %ile01bus factor 111

Read more about FaserF/ha-oraclecloud

  • OverviewFiles, symbols, languages, packages, git intelligence
  • ArchitectureDependency graph, layered architecture, symbol index, and third-party dependencies
  • Code healthPer-file health scores, hotspots, test coverage, dead code, and refactoring targets
  • AI explanationsProModule-by-module documentation generated from source
  • CommitsChange-risk ranked history with AI-agent provenance and hotspots
  • ContributorsBus-factor, per-file maintainer maps, and human/agent collaboration
  • DecisionsArchitectural decisions extracted from commits and PRs
  • Chat with this repoSign inAsk grounded questions over the indexed code

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How FaserF/ha-oraclecloud works

This page is an auto-generated, always-fresh map of the FaserF/ha-oraclecloud repository, written primarily in python. Repowise indexes the source, parses every symbol, computes a dependency graph, scores per-file code health from complexity, duplication, test coverage and churn, mines git history for hotspots and ownership, and lifts the resulting architectural decisions into a wiki you can read or query through MCP.

The codebase has 46 source files, 145 symbols, and 5 languages, organised into 4 modules, led by python, yaml, json. Static analysis leaves 132 open findings across the three health dimensions.

Use the links above to open the interactive dashboards, or connect this repo to your editor via the Repowise MCP server for grounded answers inside Claude, Cursor, or VS Code.