TurboGears/tg2

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https://github.com/TurboGears/tg2 · scanned 2026-06-05 22:31 UTC (1 week ago) · 10 languages

185 raw signals (113 security + 72 graph) 88th percentile · Python · medium (20-100K LoC) System graph score 91 (lower by 8)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week ago · v2 · 83 actionable findings from 2 signal sources. 65 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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77.8% cov · 22 findings

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	75.0	0.15	11.25
`security_score`	97.3	0.25	24.32
`testing_score`	87.0	0.20	17.40
`documentation_score`	73.0	0.15	10.95
`practices_score`	78.0	0.15	11.70
`code_quality`	76.7	0.10	7.67
Overall		1.00	83.3

Severity distribution — click a segment to filter

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Severity: Critical 2 High 2 Medium 4 Low 24 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 61 System graph 22 Crowd 0 Layer: Quality 58 Security 7 Software 14 Cicd 2 Api 1 Frontend 1

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Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Duplicates & near-duplicates 3 findings

What it is: Same function copy-pasted into multiple modules with minor variations.

Why it matters: Each copy drifts independently — bug fixes apply to one, miss the others.

How AI causes it: AI completes the same pattern in each file rather than refactoring to a shared helper.

Fix approach: Extract the duplicated logic into the most general module both call sites already import. Add tests at the helper level.

3 matching findings on this repo

low Near-duplicate function bodies in 9 places
low Near-duplicate function bodies in 2 places repo-level
low Near-duplicate function bodies in 3 places

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Commented-out code 1 finding

What it is: Lines of source that were intentionally disabled but never deleted.

Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.

How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.

Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.

1 matching finding on this repo

info Commented-code block (5 lines) in tg/decorators/decoration.py:173

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Config drift 5 findings

What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.

Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.

How AI causes it: AI writes new config from memory rather than reading the existing source.

Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.

5 matching findings on this repo

high Phantom test coverage: test_config_hooks_shutdown_on_controller tests/test_hooks.py:114
high Phantom test coverage: test_config_hooks_startup_on_controller tests/test_hooks.py:107
low Very large file: tests/test_configuration.py (2187 lines)
low Old/deprecated-named symbol `test_dedicated_controller_wrapper_old` in tests/te…
low Stub function `get_user` (body is just `pass`/`return`) — tg/configuration/auth…

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