frappe/education

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https://github.com/frappe/education · scanned 2026-06-05 12:59 UTC (5 days, 9 hours ago) · 10 languages

304 raw signals (136 security + 168 graph) 24th percentile · Python · small (2-20K LoC) System graph score 83 (lower by 26)

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Complete repo analysis

Last scanned 5 days, 9 hours ago · v2 · 150 actionable findings from 2 signal sources. 70 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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100.0% cov · 69 findings

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	60.0	0.15	9.00
`security_score`	38.2	0.25	9.55
`testing_score`	56.0	0.20	11.20
`documentation_score`	62.0	0.15	9.30
`practices_score`	73.0	0.15	10.95
`code_quality`	71.7	0.10	7.17
Overall		1.00	57.2

Severity distribution — click a segment to filter

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Severity: Critical 1 High 20 Medium 30 Low 77 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 81 System graph 69 Crowd 0 Layer: Security 4 Software 104 Cicd 10 Quality 25 Api 1 Frontend 5 Hardware 1

Exclude dismissed / FP Exclude test files

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 1 finding

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.

1 matching finding on this repo

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

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Commented-out code 2 findings

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/`.

2 matching findings on this repo

info Commented-code block (5 lines) in education/hooks.py:123
info Commented-code block (6 lines) in education/education/doctype/program_enrollmen…

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Config drift 3 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.

3 matching findings on this repo

low File has no detected symbols: frontend/vite.config.js
low File has no detected symbols: frontend/tailwind.config.js
low File has no detected symbols: frontend/postcss.config.js

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