Public report — gorm, published 6 Aug 2026.
Concrete security findings (CVE IDs, secret matches, dependency versions) are hidden in this version;
ask the repo owner for the full report.
164findings with an exact file:lineof 176 — the remainder are repo-wide signals (a dimension-level measurement, not a single line); open any file:line and verify
22/94dimensions across the health lenses13256 LoC — wide & deep
Executive summary
Read through the Production lens — the standard calibration. *Green* means good enough to run in production. The score is absolute and comparable across repos.
go-gorm/gorm is sound in substance but carries real gaps (57%). It is not in crisis, but the issues below raise the cost of changing it — friction its consumers ultimately inherit.
It is strongest in Architecture (100%) — the structure is clean and changes stay contained. Readiness (76%) is solid too.
The area that most needs attention is Security (53%) — exposure to security and compliance incidents is elevated. Code Health (53%) is the next concern — changes there are slower and more error-prone.
Leadership focus, highest impact first: Record significant decisions one document per decision (Architecture documentation); 'Testing' section to the root README (Documentation (README)); 11 High finding(s) (Static Analysis (SAST)).
For scale: Small (~13,256 production lines); rebuilding it from scratch would take roughly ~0.3 person-years (~1 engineer). Approximate, ±~30%.
It builds on a genuinely strong Architecture foundation (100%); the priorities above are the highest-leverage way to bring the rest up to that level.
How the score is built — each lens's share of the headlineWidth is the lens's weight in the worst-heaviest fold (the weakest area pulls hardest); colour is that lens's own band. A lens fixes the score in proportion to its width.
0.8× (at 57% quality) — the last 20% of quality is most of the work
Size & shape
Small · effort split not classified (source measured from disk; the effort-tier breakdown is a C#-only syntax walk)
This codebase represents roughly ~0.3 person-years of build effort (about ~€36,000 to rebuild). Its weakest lens is Security at 53% — the part of that asset most exposed by the findings below.
How we model this: boilerplate at a scaffolding rate + logic × domain Standard (×1.0) — standard service × a 0.8× quality factor, at €60–95/h; indicative, ±~30% · size measured directly from source · effort from total production LoC as straight-line logic (the tier split is a C#-only syntax walk), a conservative lower bound. Indicative only — most sensitive to the hourly rate and the domain tier (both tunable in config).
Top priorities
The highest-leverage moves; the full ranked list is in the Roadmap below.
1
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
Value concentrated against a weak lens · Medium · Value at risk
This is a Small asset (~0.3 person-years to rebuild), and its weakest lens is Security at 53%. The operational and business risk on an asset this size concentrates there — that's where remediation buys the most protection.
→ Direct remediation budget at Security first — highest risk-reduction per euro on an asset this size.
Highest-leverage move · Medium · Leverage
Of everything flagged, the best return on effort is: Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form). The rest can wait behind it.
Evidence: priority ranking: top of 5 ranked by impact/effort
→ Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
A velocity tax on every change · Medium · Economics
The code-quality signals (complexity, duplication, cohesion) average 4.4/10, which acts as a tax on every change in the weaker areas: modifications there plausibly cost on the order of 9–20% more than in clean code, and the tax compounds as the codebase grows. (A modelled estimate, not a measured fact.)
Evidence: D1/D2/D4 code quality: averaging 4.4/10 across the code-quality signals actually measured
→ Pay it down where churn is highest — the hotspots — not everywhere; that's where the tax is actually paid.
The top fix pays for itself · Medium · Economics
The top-ranked fix costs roughly 3–10 engineer-days once. Not doing it costs about 0.1–0.6 engineer-days every year, paid as drag on the ~466 lines this team changes annually — a bill that arrives whether or not anyone books it. On those figures the fix breaks even in roughly 57–1131 months and is free after that. Method, stated so this is not read as a quotation: debt from the ranked task's effort band; interest = annual changed lines (measured, annualised from the 90-day window) ÷ an ASSUMED 150–400 lines per engineer-day × the 9–20% drag implied by the code-quality signals; breaking point = debt ÷ annual interest. A modelled planning range built from measured inputs and one named assumption — not a quotation, a valuation, or a certified figure.
Evidence: D15 churn: 115 line(s) changed over a 90-day window ⇒ ~466/year · D1/D2/D4 code quality: averaging 4.4/10 ⇒ a 9–20% drag on each change · top-ranked remediation: Medium effort ⇒ about 3–10 engineer-day(s)
→ Do the top-ranked fix now if this code will still be yours in 1131 months.
Architecture — module dependency matrix
9 modules, 13 dependencies — every dependency points down the layering, so there are no cycles. Rows and columns are the same modules, ordered so that a module only depends on ones above it. A cell means the row depends on the column, and its number is how many type pairs create that dependency. Read one thing: is anything above the diagonal? A mark there is a dependency cycle. (A cycle is all this shows — an unusual but cycle-free dependency sits below the diagonal like any other.)
At a glance — Code Health · 53% · Adequate · gated by D1, D2
Findings mapped to OWASP categories; the specific CVEs/secrets are in the Security dimension cards below and findings.md (redacted only on the public version of this report).
OWASP category
Findings
Severity
A03:2021 — Injection
12
High / Critical
A06:2021 — Vulnerable & Outdated Components
2
Medium
Roadmap
Begin by documenting significant architectural decisions in a dedicated directory to establish clear context and consequences for future reference. Simultaneously, address the eleven high-priority static analysis findings to improve code security and quality. To support new contributors, add a testing section to the root README that explains how to run the test suite. Finally, implement versioning in your build manifests or release tags to ensure all builds and releases are traceable.
Ranked by impact ÷ effort. "Helps" is the estimated gain on the 0–100 health score.
Do this
Helps
Effort
Dimension
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
Watchdog is a deep, periodic assessment — run each sprint, monthly, or quarterly, taking the time to go wider and deeper than a quick check and surfacing in one coherent report what you'd otherwise piece together from a dozen separate tools. It scores deterministically: the same commit yields the same score, every run. 20 of 22 evaluated dimensions are computed purely by tools and static analysis (confidence 1.0); 2 documentation/naming judgement(s) are LLM-assisted and labelled advisory. Overall confidence is 0.5 — the weighted average across measured dimensions; it falls as more of the score leans on LLM-assisted judgement and rises when it's fully tool-backed.
Every figure here is one of three kinds, and we label which: ✓ Measured — a deterministic fact (LoC, complexity, coverage); ~ Modeled — an estimate from a stated model (cost, effort, value-at-risk), always a range with its assumptions, never a precise fact; ◐ Advisory — an LLM prose judgement. We never present a modelled estimate as if it were measured. Perfect or absent scores carry their provenance too (ADR-0011): ✓ Tool-verified means the property itself was measured across the surface; ○ Nothing flagged means the probes came back clean — a claim bounded by what a repository can show; ⊘ Not evidenced means a working control (a tested restore, an automated rollback) showed no positive evidence — absence of evidence is not evidence of a control, so it's excluded from the score rather than awarded a spurious 10; ◐ Sampled · advisory marks an LLM verdict over a bounded sample — advisory, never a deterministic measurement.
What we checked — 22 dimensions across the health lenses
Each chip is a dimension scored from real signals across architecture, testing, dependencies, security & compliance, documentation, git-history and code quality — in one coherent pass. A surface report typically covers a handful.
How to trust any code-health report — three questions
Can you open the finding? Real findings cite a repo-relative file and line you can open at the cited line — never an absolute scratch path. Here, 164 of 176 do; the remainder are repo-wide signals — a dimension-level measurement, not a single line. (Every path in this report is repo-relative by construction: paths are normalized at the producer and the report is rejected if any rooted path leaks through.)
Is there a tool behind the number? Every score below names the method that produced it — Roslyn, git, a scanner, or (for a handful of documentation/naming dimensions) an LLM labelled sampled · advisory — not a narrative.
Does re-running give the same result? Run it again on the same commit and the score — and this report, byte for byte — is identical. A report whose numbers move between runs is describing the run, not the code.
This report answers yes to all three. That's the bar to hold any assessment to.
Tools & methods
The actual versions used this run (captured at analysis time) — re-run on the same commit for the identical score.
Method
Backs
Version
Evaluator
Roslyn static analysis
Complexity, cohesion, coupling, dead code, API surface, layering
What ran differently this time — a tool absent, degraded, or that fell back to an estimate. Named openly, not folded silently into the scores. A degraded run also records its exact cause in diagnostics.md.
D30 Dependency Vulnerabilities — scanner not present in this environment — The backing tool was not installed where this scan ran, so this dimension was not scored. Install the tool (or run in the hosted environment, where it is always present) for a graded result.
Repo exclusion declarations (.gitattributes linguist-generated/vendored, .editorconfig generated_code): none declared — every source file was scored.
Limitations & what we did not check
Watchdog assesses the repository exactly as committed, and only the repository. By design it does not reach outside the source tree: the live cloud account, the running CI/CD pipeline, the host's branch-protection and approval rules, the production configuration, or a restore actually exercised against a backup are all out of scope. That boundary is a feature, not a gap — a repo-relative, deterministic scan re-runs identically on any commit and every finding opens at a real file and line, where a live audit can neither be reproduced nor traced. The visible consequence is that controls which leave no in-repo evidence are reported as "not evidenced" and excluded from the score rather than awarded a number a static scan cannot justify.
Per-dimension blind spots
For each dimension that was measured, what a static, repo-only scan structurally cannot see — the honest edge of the measurement, not a failure of it.
D1 Cyclomatic Complexity: Cyclomatic complexity counts branches statically — it cannot tell an essential decision tree from accidental tangle, nor see complexity that lives in data or configuration (large switch-case token tables, DSL lexers/parsers, data-as-code rule tables) rather than control flow: a tokenizer's many single-character cases read as high complexity though each branch is trivial.
D2 Cognitive Complexity: Cognitive-complexity heuristics approximate how hard code is to follow; genuine domain difficulty and well-named intent that eases reading are not captured.
D3 God Classes: "God class" is sized by members and responsibilities visible in the type — a deliberately broad facade over a coherent subsystem can read the same as an accidental grab-bag. For front-end JS the file-length check is cohesion-aware (a single-responsibility module — one class/IIFE — earns a 3× threshold), but cohesion is approximated from top-level declarations, not true dependency structure.
D4 Code Duplication: Duplication is token-similarity (jscpd) — it finds copy-paste, not semantic duplication expressed differently. Committed machine-written code (scaffolded migrations, designer/codegen output, protobuf/OpenAPI stubs, model snapshots) is EXCLUDED — its repetition is the tool's, not the team's — so the score reflects hand-written duplication only.
D13 Secret Scanning: Secret detection is signature- and entropy-based on the current tree — a secret that does not match a known pattern, or one already rotated, will not be flagged (a clean scan is "nothing matched", not "no secrets exist").
D15 Churn × Complexity Hotspots: Churn hotspots come from git history — a freshly imported or squashed repository has no churn signal, and recent rewrites can mask a historically risky file.
D16 Bus Factor: Bus-factor is a time-decayed model of commit attribution (who has recently, repeatedly worked a file), not comprehension — pairing, review and reading-without-committing spread knowledge it can't see; bot commits and shared accounts still distort it.
D19 Documentation Quality: Documentation quality is judged by an LLM over a bounded sample of docs — it reads what is written, not whether the docs match the running system, and it is advisory, not a measurement.
D21 Naming Consistency: Naming quality is an LLM judgement over a bounded sample — it assesses clarity/consistency of the names it sees, not domain-correctness, and is advisory.
D28 Secrets (history): Secret-history scanning sweeps the git log for known patterns — a secret that predates the available history, or never matched a signature, is not found (clean means "nothing matched in the history we can see").
D29 Static Analysis (SAST): SAST findings are pattern-based (semgrep) — it finds classes of bug it has rules for; logic flaws, auth/authorization gaps and issues needing runtime context are out of reach (and clean means "no rule matched").
D34 Knowledge Freshness: Freshness is decayed commit RECENCY, not comprehension — code read often but rarely committed reads as orphaned, and stable code that genuinely needs no changes is penalised the same as forgotten code; bot/squash commits distort it like the bus factor.
D35 Change Coupling: Change coupling is co-change in COMMITS — files split across separate commits, or coupled only through a shared config/build step, read as uncoupled, and a sweeping commit (rename/format) is excluded so it doesn't couple everything. It shows that files change together, not WHY: a high coupling can be a healthy cohesive pair as readily as a hidden leak.
M4 Documentation accuracy: Onboarding quality is an LLM read of the docs/setup present — it cannot run the onboarding or measure how long a real new joiner takes; the verdict is sampled and advisory.
P6 Release Hygiene: Rollback/observability controls are inferred from repo artefacts (pipelines, dashboards-as-code) — controls configured in external tooling, with no in-repo trace, cannot be credited.
The LLM boundary
LLM-set scores this run (3): D19, D21, M4 (model: Local LLM). For these, a model reads a bounded sample and sets the numeric score (documentation, ADR quality, naming, comment value, onboarding) — D25 sets the ADR-conformance fraction over sampled code, D22 judges API accuracy over a sample. These are sampled and advisory by design: they vary at the margins between runs and are never a deterministic measurement. Every other score in this report is tool-computed at confidence 1.0.
What it measures: How tangled the control flow is — methods with many branches are hard to test and change.
Method: Cyclomatic complexity per method (1 + decision points), computed exhaustively across production source; test projects separated by convention. Deterministic.
+ 41 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Resolve the 1 Field.setupValuerAndSetter (cyclomatic 192) finding(s) in Cyclomatic Complexity — start with field.go. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 Schema.ParseField (cyclomatic 121) finding(s) in Cyclomatic Complexity — start with field.go. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 schema.ParseWithSpecialTableName (cyclomatic 76) finding(s) in Cyclomatic Complexity — start with schema.go. — One of this dimension's main actionable groups (1 warning-level).
Enforce Cyclomatic Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d1_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: How hard the code is for a person to follow, beyond raw branching.
Method: Cognitive complexity per method (Sonar-style nesting-penalized score), computed exhaustively over production code, excluding test projects. Deterministic.
+ 63 more group(s) — more in Appendix A; the complete list is findings.md.
What to do
Resolve the 1 Field.setupValuerAndSetter (cognitive 282) finding(s) in Cognitive Complexity — start with field.go. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 callbacks.SaveAfterAssociations (cognitive 246) finding(s) in Cognitive Complexity — start with associations.go. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 callbacks.BuildQuerySQL (cognitive 241) finding(s) in Cognitive Complexity — start with query.go. — One of this dimension's main actionable groups (1 warning-level).
Enforce Cognitive Complexity in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d2_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D3 · God Classes8.0 / 10Strong✓ Tool-verified
What it measures: Over-large classes that try to do too much ("god classes").
Method: God-class detection by line and method-count thresholds per logical type (partial classes unified), filtered for generated code and registration/contract false positives. Deterministic.
Resolve the 5 FileTooLong finding(s) in God Classes — start with field.go, migrator.go, generics.go. — One of this dimension's main actionable groups (5 warning-level).
Resolve the 2 TooManyMethods finding(s) in God Classes — start with gorm.go, migrator.go. — One of this dimension's main actionable groups (2 warning-level).
Enforce God Classes in CI to reach Verified (currently Documented). — Hardens enforcement from Documented toward Prevented — provenance only; does not change the score.
Detailed fixes: d3_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Copy-pasted code that should be shared instead.
Method: Code duplication via token-stream sliding windows with type-aware normalization (locals masked, type names preserved), density-scored per KLoC of production code. Deterministic.
What it measures: Whether any secrets (keys, tokens, passwords) have leaked into the code.
Method: In-process native secret scanner (entropy plus signature patterns) across all tracked files; no external tool. A clean result is a measured 10, not no-data zero. Deterministic.
What it measures: Files that change often and are also complex — the riskiest hotspots.
Method: Per production file churn times cyclomatic complexity over a rolling window, computed from git and Roslyn/JS/Razor analysis. Exhaustive, deterministic per commit date.
Detailed fixes: d15_recommendation.md · top locations in Appendix A, every location in findings.md.
Do you agree with this assessment?
D16 · Bus Factor9.5 / 10Exemplary✓ Tool-verified
What it measures: Whether knowledge is concentrated in too few people (the "bus factor").
Method: Living knowledge per author via time-decayed commit attribution (6-month half-life, focus weighting) across largest source files. Deterministic, avoids blame's mechanical-refactor false positives.
What it measures: Whether the project's documentation is clear, complete, and useful.
Method: Judged by language model at low temperature (0.0-0.1) on a deterministic doc sample (READMEs plus first 25 architecture docs), with two-pass stability filtering. Advisory, sampled.
The GORM project's documentation is strong and complete for an ORM library: the README gives a clear overview of features (full Featured ORM with associations, hooks, transactions, context modes, batch insert, SQL builder, composite PK, auto migrations, logger, plugin API), links to guides and test status, contributing instructions, contributors, and license. The tests/README is thin but present; it documents the test workflow (cd tests/docker-compose up ./tests_all.sh).
What to do
Improve Documentation Quality — currently 7.0/10. — The GORM project's documentation is strong and complete for an ORM library: the README gives a clear overview of features (full Featured ORM with associations, hooks, transactions, context modes, batch insert, SQL builder, composite PK, auto migrations, logger, plugin API), links to guides and test status, contributing instructions, contributors, and license. The tests/README is thin but present; it documents the test workflow (cd tests/docker-compose up ./tests_all.sh).
What it measures: Whether names — types, methods, variables — are clear and consistent.
Method: Judged by language model at low temperature (0.0-0.1) on a deterministic random symbol sample (fixed size, not exhaustive), with disclosed confidence band. Advisory, sampled.
What it measures: Whether any secrets were ever committed — scanned across the full git history, not just now.
Method: Git-history secret scan via gitleaks detect over full history in an isolated checkout; each match flagged High. Exhaustive; degrades cleanly when tool absent.
What it measures: Real static-analysis (SAST) findings — likely security bugs in the code, any language.
Method: Polyglot static analysis via semgrep across the repo using the pinned, image-baked p/security-audit + p/owasp-top-ten rulesets (no scan-time registry fetch); severity rules (ERROR/WARNING/INFO) map to a full-band severity-weighted score. Exhaustive, deterministic; degrades on parse failure.
Coverage: semgrep pattern rules over all files — exhaustive for the rule set, blind to classes of bug without a rule (clean = no rule matched).
High: dependabot-missing-cooldown · ×11.github/dependabot.yml:4detected by semgrep finding
Medium: use-of-sha1schema/naming.go:108detected by semgrep finding
What to do
Resolve the 11 High finding(s) in Static Analysis (SAST) — start with golangci-lint.yml (3), create-release.yml (2), labeler.yml (2). — One of this dimension's main actionable groups (11 issue-level).
Resolve the 1 Medium finding(s) in Static Analysis (SAST) — start with naming.go. — One of this dimension's main actionable groups (1 warning-level).
Detailed fixes: d29_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether anyone still has living knowledge of each file, or it has been orphaned — last understood long ago by someone now gone quiet. The sibling of the bus factor: D16 asks who owns it, D34 asks whether anyone still knows it.
Method: File orphaning as total living-knowledge decay below one focused-commit's worth within a year, computed per-file from the D16 decay model. Exhaustive, deterministic over fixed history.
10 of 37 significant source file(s) are orphaned — their living knowledge has decayed to nothing, so no one currently understands them. The largest is callbacks/associations.go.
Further orphaned files (smaller)
What to do
Resolve the 1 Further orphaned files (smaller) finding(s) in Knowledge Freshness. — One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d34_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether files that change together actually belong together — pairs that repeatedly co-change in git history despite having no explicit code dependency, surfacing the hidden/logical coupling (and boundaries in the wrong place) a static scan can't see.
Method: Pairwise co-occurrence over the per-commit file sets in git history (production source only — tests and generated dropped): Degree-of-Coupling = shared ÷ min individual revisions, reported above noise floors (each file ≥10 revisions, ≥5 shared commits, ≥50% strength); sweeping commits excluded. Deterministic over fixed history.
Coverage: Population: PRODUCTION source files only — test and generated files are dropped before pairing, so a class co-changing with its own test (trivially ~100%) can't drown the real production↔production coupling. Pairs ranked by Degree-of-Coupling; coupling through a build step, config, or non-source file isn't seen.
What it measures: Whether the build pipeline provides supply-chain integrity — generated provenance/attestation, signed artifacts (cosign/sigstore), an SBOM, and pinned build actions. Presence of the configuration, not a runtime guarantee.
Method: Supply-chain provenance/signing read deterministically from CI/build config (.github/workflows, .gitlab-ci.yml, azure-pipelines, Jenkinsfile, .circleci) + the release surface: four signals — generated provenance/attestation (SLSA/in-toto/actions-attest), artifact signing (cosign/sigstore/gitsign), an SBOM (syft/sbom-action/*.spdx.json/*.cdx.json), and SHA-pinned build actions — scored 10·present/denom. NotApplicable without a build pipeline. Detects configuration presence, not runtime enforcement.
Resolve the 1 Unpinned build actions finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 PR-triggered workflow without a permissions block finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 warning-level).
Resolve the 1 No build provenance finding(s) in Supply-chain Provenance & Signing. — One of this dimension's main actionable groups (1 recommendation-level).
Detailed fixes: d36_recommendation.md · top locations in Appendix A, every location in findings.md.
What it measures: Whether dependencies have known published vulnerabilities (CVEs) per the OSV database — read natively from whatever lockfile the repository ships (Cargo, npm, Go, Python, Maven, RubyGems, …). D33 and D30 add ecosystem-specific scanners on top for npm and .NET.
Method: Multi-ecosystem dependency-CVE scan via osv-scanner --recursive (queries the osv.dev database + parses lockfiles natively across ecosystems: npm package-lock/yarn/pnpm/bun, Go go.mod, Rust Cargo.lock, Maven/Gradle pom.xml/gradle.lockfile, PyPI requirements.txt/poetry.lock/Pipfile.lock, Composer composer.lock, RubyGems Gemfile.lock, Hex mix.lock, pub pubspec.lock, Swift Package.resolved); severity tally (Critical/High/Medium/Low) to 0-10 tight normalizer (8.0). NotApplicable only when the repo declares no supported non-.NET dependency lockfile (a NuGet-only repo stays NotApplicable — .NET CVEs are D30's domain); coverage needs a resolved lockfile. Additive to D33 (trivy fs); exhaustive + deterministic, DB kept fresh.
Maturity · Maturity — Whether the repo and its projects have a README, and whether it's substantive and current.
Method: Filesystem scan: README presence, word count, and headings for depth; git history for staleness. Exhaustive across root and project dirs, deterministic.
What to do
Add a 'Testing' section to the root README — how to run the test suite.
Add an 'Architecture' / 'How it works' section to the root README — the high-level shape.
Maturity · Maturity — Whether key decisions (ADRs) and the high-level shape (C4/diagrams) are written down.
Method: Filesystem scan: ADR folder/naming conventions or content, plus Mermaid/PlantUML/C4/architecture.md discovery. Exhaustive, deterministic.
No Architecture Decision Records found — no conventional ADR directory, no `NNNN-title.md` documents and nothing ADR-shaped by content. Design rationale recorded elsewhere (a design-notes tree, a mailing list, pull-request discussion) is not visible to this check and is not re-findable per decision, so a future maintainer cannot ask why one choice was made and get an answer.
No C4/PlantUML/Mermaid diagram or architecture.md — the high-level shape isn't documented.
What to do
Record significant decisions one document per decision — dated, stating the context, the decision and its consequences — and keep them together wherever your design docs already live (a conventional `docs/adr/` tree with `NNNN-title.md` names is the most discoverable form).
Add a C4 context/container diagram (Structurizr, PlantUML or Mermaid) or an architecture.md overview.
Maturity · Maturity — Whether the README actually describes the code that exists (LLM-judged, advisory).
Method: Judged by language model at low temperature: README accuracy versus actual projects, within a disclosed tolerance. Advisory, not a measured number.
Readiness · Readiness — Whether SAST, secret/dependency scanning and performance benchmarking are wired in (presence, not runtime).
Method: Filesystem scan: SAST configuration, dependency-update automation, secret scanning, and a benchmark harness or benchmark step — in this repository's own ecosystem. Exhaustive, deterministic.
What to do
Add gitleaks/trufflehog in CI to block PRs that introduce committed secrets.
Readiness · Readiness — Whether releases are traceable — a maintained changelog and explicit version stamping.
Method: Filesystem scan: changelog file presence and version tags in csproj or git tags. Exhaustive, deterministic.
What to do
Stamp a version in your build/package manifest (e.g. csproj <Version>, package.json, pyproject.toml, Cargo.toml, or a VERSION file) or tag releases with semver so builds and releases are traceable.
Do you agree with this assessment?
Reference — by lens
The score is the rank-weighted fold of these lenses (worst-heaviest), each including its meta-dimensions; a lens with a Critical contributor is capped at Fair (its band reads "gated by …") and is never the strongest area however high its average.
Capped at Fair by a Critical contributor — resolve it before relying on this lens.
Not included — 72 check(s) not relevant to this codebase
These checks had nothing to measure here (no tests, no git history, the codebase is small, or the architecture style doesn't apply), so they're omitted above rather than scored low.
AC1 Text alternatives — No web markup found — accessibility is not applicable to this repository.
AC2 Forms & labels — No web markup found — accessibility is not applicable to this repository.
AC3 Page structure — No web markup found — accessibility is not applicable to this repository.
AC4 Keyboard semantics — No web markup found — accessibility is not applicable to this repository.
AC5 ARIA correctness — No web markup found — accessibility is not applicable to this repository.
AC6 Visual & motion safety — No web markup found — accessibility is not applicable to this repository.
AC7 A11y enforcement — No web markup found — accessibility is not applicable to this repository.
AX1 Captive dependencies — no DI registrations detected
AX10 Code composition — not assessed — code composition is computed by ROLE over a document set that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX2 Stateful singletons — no singleton implementations detected
AX3 Project dependency cycles — not assessed — project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX4 Dependency direction — not assessed — project cycles and dependency direction are computed over a project-reference graph that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX5 Architecture & structure — not assessed — architecture style/structure is computed from a project graph (projects, types, module namespaces) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX6 Interface segregation — not assessed — interface segregation is computed over a type surface that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX7 Slice cohesion — not applicable — not a vertical-slice architecture
AX8 Test isolation — not assessed — test isolation is computed from a project graph (which projects are test projects, and what they reference) that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
AX9 CQS / query purity — no CQRS query handlers detected — query purity is not applicable to this codebase
C1 Data Protection — Not assessed: these personal data controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks personal data controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C2 Access Controls — Not assessed: these authorization controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks authorization controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C3 Audit Trail — Not assessed: these audit controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks audit controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C4 Data Retention — Not assessed: these retention controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks retention controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
C5 Data-Subject Rights — Not assessed: these data-subject rights controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks data-subject rights controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
D10 Test Quality — ~22163 lines of test source are present (.go) but the test-quality collector reads C# only, so skipped/assertion-free tests couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
D11 Test Reliability — Test reliability not included
D12 Dependency Hygiene — Dependency hygiene not measured — dependency manifest found but not parsed for hygiene
D14 License Compliance — Not scored — this repository's package manifest is not parsed for licence data yet. A gap in the analyzer's language coverage, NOT a finding that the repository's licenses are compliant (a Go module (go.mod/go.sum)), which this pass does not parse yet — so this dimension asserts nothing about this repository's licensing in either direction.
D17 Explicit Debt — explicit-debt markers are read through a C# workspace today, so they were not read for this repository's language — this asserts nothing about how many markers the code carries. Not scored — this is a gap in the analyzer, not a finding about this repository
D18 Solution Shape — D18 scores the shape of a .NET solution; this repository has no .NET solution or project files, so the dimension does not apply.
D20 ADR Quality — N/A — ADRs are expected on deployable products with a user-facing host, not consumed libraries; no ADR log is required here.
D22 Internal API Consistency — No exposed public API
D23 Boundary Type-Coupling — Production source is present (.go) but bounded contexts are resolved over the C#/VB project set, which exposed none, so context scope could not be assessed. Not scored — this is a gap in the analyzer, not a verdict about this repository. Declaring the codebase's bounded contexts (≥2) would let cross-boundary type coupling be assessed — see the recommendation on this dimension for where. Declare them in `.codehealth/config.yaml` at the repository root (create it if absent), mapping each context name to the module-path or namespace prefixes that belong to it — e.g. `architecture:` → `contexts:` → `Billing: ["src/billing", "Acme.Billing"]`, `Catalog: ["src/catalog", "Acme.Catalog"]`.
D24 Comment Value — No inline comments to assess — comment value is not applicable here.
D25 ADR Conformance — no ADRs to check
D26 Project Cohesion — Project cohesion is assessed over the .NET project set; this target exposed no projects, so project size and spread could not be assessed. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
D27 Navigability — No calls could be sampled, so navigability was not assessed — tracing effort is measured over resolved call sites and this target exposed none. Not scored — this is a gap in the analyzer's reach, not a verdict about this repository.
D30 Dependency Vulnerabilities — Not scored — no dependency manifest in a supported ecosystem was read for this repository. A gap in the analyzer's language coverage, NOT a finding that the repository is free of vulnerable dependencies (a Go module (go.mod/go.sum) — not scanned yet) — where an OSV-supported manifest exists, dependency vulnerabilities for this repository are reported under D38 instead.
D31 IaC & Container Security — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
D32 Data Compliance (PII/GDPR) — No PII/GDPR-handling patterns detected (p/gdpr ruleset) — no data-compliance surface to assess.
D33 JS/npm Dependency Vulnerabilities — No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
D37 Vulnerability-disclosure Policy — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
D39 IL Efficiency — D39 measures the IL emitted by a .NET build; this repository has no .NET solution or project files, so the dimension does not apply.
D40 Network Egress Confinement — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
D41 Kernel & Syscall Confinement — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
D42 Runtime Threat Enforcement — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
D5 Coupling — Inter-project coupling could not be assessed — no analyzable project graph was found for this repository. Not scored: a gap in the analyzer's reach, not a verdict about this repository. (Coupling here is Martin afferent/efferent/instability plus reference cycles across a project-reference graph, read today from .NET project files; other ecosystems' module graphs are not read yet.)
D6 Cohesion (LCOM4) — Cohesion (LCOM4) is measured over a C#/VB class graph, and this repository's production source is mostly .go, which this pass does not read, so cohesion was not assessed for this repository. Not scored — this is a gap in the analyzer, not a finding about this repository.
D7 Architectural Integrity — no checkable ADRs, and no project-reference graph for the cycle pass to read — so this dimension makes no claim about dependency cycles in either direction (where this repository's language has an import-cycle lens, cycles are reported there). Architectural integrity not assessed
D8 Code Coverage — Coverage not included — suite not readable by the collector
D9 Test Distribution — Test source is present (.go) but the test-pyramid classifier reads C# only, so its unit/integration/BDD/E2E split couldn't be counted. Not scored — this is a gap in the analyzer, not a finding about this repository.
DM1 Domain Modelling — applicable but not scored (1 of 2 signals for this style — below the bar we score at): 1 value object(s)
ED1 Event-Driven — not scored — this repository shows none of the 3 signals this check looks for
ED5 Idempotency — no mutating command handlers or message consumers detected — idempotency check not applicable
ES1 Event Sourcing — not scored — this repository shows none of the 3 signals this check looks for
GD1 Unfinished & placeholder code — no source files
IC1 Incompleteness & stubs — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
P12 CI test-gate honesty — Reported, not scored — and nothing was matched here. The coverage check applies to any stack, but the checks for excluded tests, skipped tests and sleep-based synchronisation currently recognise only some ecosystems' test-runner idioms, so on a repository built with another stack the zeros below mean 'not checked', not 'clean'.
P2 Observability — Observability was not assessed: this check reads a source model that does not carry this repository's product — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of a logging idiom this check recognises is NOT evidence that this repo lacks structured logging (it may log through its own ecosystem's logger). This is a gap in the analyzer, not a finding about this repository.
P4 Deployment & Rollback — not evidenced — no deploy/rollback/approval signal in the repo; absence of evidence is not evidence of a manual release
P5 DR & Backup — not evidenced — repo shows no backup/RTO/RPO controls; absence of evidence is not evidence of a working control
P7 Outbound HTTP resilience — not measured — the application kind could not be determined for this repo
P8 Schema migrations — not assessed — schema-migration practice is read from a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
P9 Domain vs controller coverage — no coverage report found on disk — produce a coverage report in a standard format (`go test -coverprofile=coverage.out ./...`) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored, or wire coverage collection into CI, to enable this cross-layer check
PF1 Benchmark discipline — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
PF2 Allocation hygiene — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
PF3 Async & latency hygiene — Performance was not assessed: this lens reads a source model that was not loaded for this repository, because the repository is written in a language this lens does not yet model or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository — in particular it is NOT a statement that this repo is unpackaged or performance-careless.
S1 Web-Security Posture — Not assessed: these web-security controls are read from a source model (declarative annotations, request middleware, entity/column names, guard methods) that was not loaded for this repository — because the repository is written in a language this check does not yet model, or because its projects failed to load. Absence of an idiom this check recognises is NOT evidence that this repository lacks web-security controls: it may implement them entirely in its own ecosystem. This is a gap in the analyzer's language coverage, not a finding about this repository.
SC1 Supply-chain hygiene — Advisory — this card reports evidence and never carries a score, so there is nothing missing here.
X1 Async correctness — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X2 Cancellation propagation — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X3 Exception handling — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X4 Structured logging — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
X5 Nullable reference types — not analysed — these correctness checks read a source model that was not loaded for this repository, because the repository is written in a language this check does not yet model, or because its projects failed to load. This is a gap in the analyzer, not a finding about this repository
Appendix A — Findings (grouped)
The findings behind the scores, grouped by severity, then by dimension and kind. The high-severity issues are enumerated in full below; items per group are capped at 25 with any overflow stated explicitly per group, never silently truncated. The complete machine-readable list of every finding (all severities) is the companion findings.md in this report's bundle.
High: dependabot-missing-cooldown .github/dependabot.yml:4— This Dependabot configuration does not set a cooldown period. Newly published packages can be malicious or unstable. Add a `cooldown` block with `default-days: 7` to each `package-ecosystem` entry under `updates` to wait 7 days before proposing updates to newly published package versions. Reference: https://docs.github.com/en/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file#cooldown. This is a semgrep security-AUDIT rule reporting a POLICY that is absent or weaker than its recommendation, not an exploitable defect. Confirm whether the current setting is a deliberate decision for this repository — and apply the change where it is not; where it is (a policy your release process already enforces elsewhere, or one this repository has consciously opted out of), record the decision and leave the configuration as it is. This configuration file has 3 such entries; one cooldown decision clears them all — reported once.
High: github-actions-mutable-action-tag .github/workflows/create-release.yml:19— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v4`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v4 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/create-release.yml:23— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: release-drafter/release-drafter@<40-character SHA>`. This step references `release-drafter/release-drafter@v6`; resolve the SHA it points at today with `gh api repos/release-drafter/release-drafter/commits/v6 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/golangci-lint.yml:18— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v4`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v4 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/golangci-lint.yml:19— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/setup-go@<40-character SHA>`. This step references `actions/setup-go@v5`; resolve the SHA it points at today with `gh api repos/actions/setup-go/commits/v5 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/golangci-lint.yml:23— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: golangci/golangci-lint-action@<40-character SHA>`. This step references `golangci/golangci-lint-action@v7`; resolve the SHA it points at today with `gh api repos/golangci/golangci-lint-action/commits/v7 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/invalid_question.yml:19— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/stale@<40-character SHA>`. This step references `actions/stale@v9`; resolve the SHA it points at today with `gh api repos/actions/stale/commits/v9 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/labeler.yml:14— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/checkout@<40-character SHA>`. This step references `actions/checkout@v4`; resolve the SHA it points at today with `gh api repos/actions/checkout/commits/v4 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/labeler.yml:17— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: jinzhu/super-labeler-action@<40-character SHA>`. This step references `jinzhu/super-labeler-action@develop`; resolve the SHA it points at today with `gh api repos/jinzhu/super-labeler-action/commits/develop --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/missing_playground.yml:19— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/stale@<40-character SHA>`. This step references `actions/stale@v9`; resolve the SHA it points at today with `gh api repos/actions/stale/commits/v9 --jq .sha`.
High: github-actions-mutable-action-tag .github/workflows/stale.yml:19— GitHub Actions step uses a mutable tag or branch reference. Tags and branch names can be silently repointed by the action owner, enabling supply-chain attacks — as seen in the trivy-action and kics-github-action compromises. Pin the reference to a full 40-character commit SHA instead, e.g. `uses: actions/stale@<40-character SHA>`. This step references `actions/stale@v9`; resolve the SHA it points at today with `gh api repos/actions/stale/commits/v9 --jq .sha`.
Duplicated block (7 lines × 2) association.go:85— association.go:85-91 | association.go:240-246 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `association.go:85` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (7 lines × 2) association.go:229— association.go:229-235 | association.go:294-300 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `association.go:229` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (7 lines × 2) callbacks/associations.go:147— callbacks/associations.go:147-153 | callbacks/associations.go:211-217 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `callbacks/associations.go:147` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
Duplicated block (7 lines × 2) callbacks/associations.go:158— callbacks/associations.go:158-164 | callbacks/associations.go:252-258 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `callbacks/associations.go:158` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (7 lines × 2) clause/where.go:58— clause/where.go:58-64 | clause/where.go:65-71 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Duplicated block (7 lines × 2) schema/relationship.go:735— schema/relationship.go:735-741 | callbacks/delete.go:88-94 — the copies span different directories, so extracting a shared function means choosing where it lives: put it somewhere both call sites can already reach — a location they all depend on today, or a new shared one if there is none — and call it from each site; until then, every change has to be made twice. Read the line range as the matched WINDOW rather than a finished unit: at `schema/relationship.go:735` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (7 lines × 2) callbacks/preload.go:203— callbacks/preload.go:203-209 | callbacks/preload.go:249-255 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `callbacks/preload.go:203` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (7 lines × 2) chainable_api.go:119— chainable_api.go:119-125 | chainable_api.go:149-155 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `chainable_api.go:119` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (7 lines × 2) chainable_api.go:462— chainable_api.go:462-468 | finisher_api.go:785-791 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `chainable_api.go:462` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (7 lines × 2) finisher_api.go:133— finisher_api.go:133-139 | finisher_api.go:162-168 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `finisher_api.go:133` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
FileTooLong: schema/field.go schema/field.go:0— FileTooLong — 739 significant lines (blank, comment-only and punctuation-only lines excluded). To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: migrator/migrator.go migrator/migrator.go:0— FileTooLong — 590 significant lines (blank, comment-only and punctuation-only lines excluded). To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: ./generics.go generics.go:0— FileTooLong — 571 significant lines (blank, comment-only and punctuation-only lines excluded). To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: ./statement.go statement.go:0— FileTooLong — 522 significant lines (blank, comment-only and punctuation-only lines excluded). To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
FileTooLong: schema/relationship.go schema/relationship.go:0— FileTooLong — 511 significant lines (blank, comment-only and punctuation-only lines excluded). To reduce it, split the file along the responsibilities already in it: move each cohesive group of declarations into its own sibling file in the same module or package, so no one file has to be read whole to change one of them.
Duplicated block (10 lines × 2) association.go:165— association.go:165-174 | association.go:276-285 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `association.go:165` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (10 lines × 2) callbacks/associations.go:72— callbacks/associations.go:72-81 | callbacks/associations.go:309-319 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `callbacks/associations.go:72` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (10 lines × 2) callbacks/associations.go:192— callbacks/associations.go:192-201 | callbacks/associations.go:265-274 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `callbacks/associations.go:192` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
Duplicated block (10 lines × 2) callbacks/associations.go:243— callbacks/associations.go:243-252 | callbacks/associations.go:329-339 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `callbacks/associations.go:243` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. Note that the copies do not run to the end of the range shown: their LAST lines are different code, not the same code under different names — the matched region ends inside that line. Extract the lines above it, and read the last line of each site separately.
Duplicated block (5 lines × 2) callbacks/associations.go:208— callbacks/associations.go:208-212 | callbacks/associations.go:280-284 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `callbacks/associations.go:208` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (5 lines × 2) schema/field.go:673— schema/field.go:673-677 | schema/field.go:682-686 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `schema/field.go:673` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (5 lines × 2) schema/field.go:898— schema/field.go:898-902 | schema/field.go:924-928 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `schema/field.go:898` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (5 lines × 2) callbacks/delete.go:174— callbacks/delete.go:174-178 | callbacks/update.go:90-94 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once. The matched lines also register a scope-exit action (a `defer`-style statement) that runs when the function holding them returns: moved into a called unit it would run when THAT unit returns instead — before the caller uses what it releases — so keep the registration at the call site and extract only the work around it, or have the extracted unit hand the resource back for the caller to register.
Duplicated block (9 lines × 2) generics.go:611— generics.go:611-619 | statement.go:235-243 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `generics.go:611` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (9 lines × 2) migrator/migrator.go:349— migrator/migrator.go:349-357 | migrator/migrator.go:360-368 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `migrator/migrator.go:349` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (9 lines × 2) finisher_api.go:325— finisher_api.go:325-333 | finisher_api.go:371-379 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `finisher_api.go:325` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (8 lines × 2) schema/relationship.go:319— schema/relationship.go:319-326 | schema/relationship.go:347-354 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `schema/relationship.go:319` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (8 lines × 2) schema/schema.go:155— schema/schema.go:155-162 | schema/schema.go:398-405 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `schema/schema.go:155` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that. The matched lines also transfer control out of the body holding them, which cannot survive a move into a called unit unchanged: have the extracted unit return that decision and let each site act on it.
Duplicated block (8 lines × 2) callbacks/create.go:18— callbacks/create.go:18-25 | callbacks/update.go:36-43 — the copies sit in sibling files of one directory: extract the block into a single shared function in that directory and call it from each site, so a change lands once. Read the line range as the matched WINDOW rather than a finished unit: at `callbacks/create.go:18` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (6 lines × 2) internal/lru/lru.go:241— internal/lru/lru.go:241-246 | internal/lru/lru.go:257-262 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `internal/lru/lru.go:241` it does not close everything it opens, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (6 lines × 2) statement.go:434— statement.go:434-439 | statement.go:448-453 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited. Read the line range as the matched WINDOW rather than a finished unit: at `statement.go:434` it begins part-way through the construct above it, so those exact lines cannot be lifted as they stand — widen the region to the smallest complete statement or declaration that contains it, and extract that.
Duplicated block (6 lines × 2) finisher_api.go:176— finisher_api.go:176-181 | finisher_api.go:445-450 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
TooManyMethods: DB gorm.go:108— TooManyMethods — 72 methods, declared across 6 files: ./finisher_api.go (30), ./chainable_api.go (24), ./gorm.go (14), ./migrator.go (2), +2 more file(s). That list is where to read them, not a suggestion to split the file: the members belong to the type wherever they are declared, so moving them between files leaves the count unchanged. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
TooManyMethods: Migrator migrator/migrator.go:35— TooManyMethods — 36 methods. To reduce it, group the members that share the same data into a smaller type of their own and delegate to it, so no single type carries every responsibility.
D38 · OSV Dependency Vulnerabilities· Medium CVE · ×2
Medium CVE: GO-2026-5970 go.mod— golang.org/x/text 0.20.0 (golang.org/x/text/unicode/norm): GO-2026-5970 — upgrade to 0.39.0
Medium CVE: GO-2023-1568 go.mod— stdlib 1.18.99 (path/filepath): GO-2023-1568 — fixed in Go 1.19.6; pin a build toolchain at or above it (go.mod `toolchain` directive, or your CI's Go version) — the `go` directive is a minimum language version, not the compiler that builds your binaries. This one row stands for the 82 advisories this scan raises against stdlib 1.18.99: GO-2023-1568, GO-2023-1569, GO-2023-1570, GO-2023-1571, GO-2023-1621, GO-2023-1702, GO-2023-1703, GO-2023-1704, GO-2023-1705, GO-2023-1751, GO-2023-1752, GO-2023-1753, GO-2023-1840, GO-2023-1878, GO-2023-1987, GO-2023-2041, GO-2023-2043, GO-2023-2102, GO-2023-2185, GO-2023-2186, GO-2023-2375, GO-2023-2382, GO-2024-2598, GO-2024-2599, GO-2024-2600, GO-2024-2609, GO-2024-2610, GO-2024-2687, GO-2024-2887, GO-2024-2888, GO-2024-2963, GO-2024-3105, GO-2024-3106, GO-2024-3107, GO-2025-3373, GO-2025-3420, GO-2025-3447, GO-2025-3503, GO-2025-3563, GO-2025-3750, GO-2025-3751, GO-2025-3849, GO-2025-3956, GO-2025-4006, GO-2025-4007, GO-2025-4008, GO-2025-4009, GO-2025-4010, GO-2025-4011, GO-2025-4012, GO-2025-4013, GO-2025-4014, GO-2025-4015, GO-2025-4155, GO-2025-4175, GO-2026-4337, GO-2026-4340, GO-2026-4341, GO-2026-4342, GO-2026-4403, GO-2026-4601, GO-2026-4602, GO-2026-4603, GO-2026-4864, GO-2026-4865, GO-2026-4869, GO-2026-4870, GO-2026-4918, GO-2026-4946, GO-2026-4947, GO-2026-4970, GO-2026-4971, GO-2026-4976, GO-2026-4977, GO-2026-4980, GO-2026-4981, GO-2026-4982, GO-2026-4986, GO-2026-5037, GO-2026-5038, GO-2026-5039, GO-2026-5856.
Field.setupValuerAndSetter (cyclomatic 192) schema/field.go:451— Field.setupValuerAndSetter has cyclomatic complexity 192 (threshold 15). Of this number, 17 points are the body's own statements and 175 belong to 14 function literals inside it that branch. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Schema.ParseField (cyclomatic 121) schema/field.go:106— Schema.ParseField has cyclomatic complexity 121 (threshold 15). Of this number, 112 points are the body's own statements and 9 belong to one function literal inside it that branches. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
schema.ParseWithSpecialTableName (cyclomatic 76) schema/schema.go:139— schema.ParseWithSpecialTableName has cyclomatic complexity 76 (threshold 15). Of this number, 75 points are the body's own statements and 1 belongs to one function literal inside it that branches. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
callbacks.ConvertToAssignments (cyclomatic 75) callbacks/update.go:145— callbacks.ConvertToAssignments has cyclomatic complexity 75 (threshold 15). Of this number, 72 points are the body's own statements and 3 belong to 2 function literals inside it that branch. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
callbacks.SaveAfterAssociations (cyclomatic 74) callbacks/associations.go:110— callbacks.SaveAfterAssociations has cyclomatic complexity 74 (threshold 15). Most of this is not in the body itself: 1 of the 74 points is its own statement and the rest belongs to one function literal inside it that branches (line 111). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
callbacks.ConvertToCreateValues (cyclomatic 73) callbacks/create.go:245— callbacks.ConvertToCreateValues has cyclomatic complexity 73 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Statement.BuildCondition (cyclomatic 73) statement.go:292— Statement.BuildCondition has cyclomatic complexity 73 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
gorm.Scan (cyclomatic 71) scan.go:126— gorm.Scan has cyclomatic complexity 71 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Association.saveAssociation (cyclomatic 64) association.go:384— Association.saveAssociation has cyclomatic complexity 64 (threshold 15). Of this number, 38 points are the body's own statements and 26 belong to one function literal inside it that branches. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
callbacks.BuildQuerySQL (cyclomatic 64) callbacks/query.go:36— callbacks.BuildQuerySQL has cyclomatic complexity 64 (threshold 15). Of this number, 49 points are the body's own statements and 15 belong to one function literal inside it that branches. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
callbacks.Create (cyclomatic 51) callbacks/create.go:37— callbacks.Create has cyclomatic complexity 51 (threshold 15). Most of this is not in the body itself: 1 of the 51 points is its own statement and the rest belongs to one function literal inside it that branches (line 40). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
Migrator.MigrateColumn (cyclomatic 51) migrator/migrator.go:470— Migrator.MigrateColumn has cyclomatic complexity 51 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
logger.ExplainSQL (cyclomatic 49) logger/sql.go:51— logger.ExplainSQL has cyclomatic complexity 49 (threshold 15). Most of this is not in the body itself: 6 of the 49 points are its own statements and the rest belongs to 2 function literals inside it that branch (lines 57, 172). The decisions are inside those literals, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literals' work into a named function or method at the enclosing scope and have each literal call it, then reduce whichever part then reads as the largest.
Schema.guessRelation (cyclomatic 47) schema/relationship.go:456— Schema.guessRelation has cyclomatic complexity 47 (threshold 15). Of this number, 43 points are the body's own statements and 4 belong to one function literal inside it that branches. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Association.Delete (cyclomatic 35) association.go:199— Association.Delete has cyclomatic complexity 35 (threshold 15). Of this number, 22 points are the body's own statements and 13 belong to one function literal inside it that branches. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
callbacks.preload (cyclomatic 35) callbacks/preload.go:185— callbacks.preload has cyclomatic complexity 35 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
gorm.sortCallbacks (cyclomatic 34) callbacks.go:261— gorm.sortCallbacks has cyclomatic complexity 34 (threshold 15). Most of this is not in the body itself: 10 of the 34 points are its own statements and the rest belongs to 2 function literals inside it that branch (lines 284, 266). The decisions are inside those literals, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literals' work into a named function or method at the enclosing scope and have each literal call it, then reduce whichever part then reads as the largest.
NamedExpr.Build (cyclomatic 31) clause/expression.go:67— NamedExpr.Build has cyclomatic complexity 31 (threshold 15). Of this number, 27 points are the body's own statements and 4 belong to one function literal inside it that branches. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Association.Replace (cyclomatic 30) association.go:75— Association.Replace has cyclomatic complexity 30 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
gorm.Open (cyclomatic 30) gorm.go:138— gorm.Open has cyclomatic complexity 30 (threshold 15). Of this number, 27 points are the body's own statements and 3 belong to 2 function literals inside it that branch. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
callbacks.SaveBeforeAssociations (cyclomatic 30) callbacks/associations.go:13— callbacks.SaveBeforeAssociations has cyclomatic complexity 30 (threshold 15). Most of this is not in the body itself: 1 of the 30 points is its own statement and the rest belongs to one function literal inside it that branches (line 14). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
setCreateOrUpdateG.handleAssociation (cyclomatic 30) generics.go:795— setCreateOrUpdateG.handleAssociation has cyclomatic complexity 30 (threshold 15). Of this number, 29 points are the body's own statements and 1 belongs to one function literal inside it that branches. To reduce it, separate the branches: extract each independent case into its own named function so the top-level body reads as a short sequence of named decisions.
processor.Execute (cyclomatic 27) callbacks.go:75— processor.Execute has cyclomatic complexity 27 (threshold 15). Of this number, 26 points are the body's own statements and 1 belongs to one function literal inside it that branches. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Migrator.AutoMigrate (cyclomatic 27) migrator/migrator.go:122— Migrator.AutoMigrate has cyclomatic complexity 27 (threshold 15). Most of this is not in the body itself: 5 of the 27 points are its own statements and the rest belongs to one function literal inside it that branches (line 130). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
Schema.buildMany2ManyRelation (cyclomatic 27) schema/relationship.go:271— Schema.buildMany2ManyRelation has cyclomatic complexity 27 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Migrator.CreateTable (cyclomatic 25) migrator/migrator.go:216— Migrator.CreateTable has cyclomatic complexity 25 (threshold 15). Most of this is not in the body itself: 3 of the 25 points are its own statements and the rest belongs to one function literal inside it that branches (line 219). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
callbacks.DeleteBeforeAssociations (cyclomatic 24) callbacks/delete.go:26— callbacks.DeleteBeforeAssociations has cyclomatic complexity 24 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Statement.QuoteTo (cyclomatic 24) statement.go:85— Statement.QuoteTo has cyclomatic complexity 24 (threshold 15). Of this number, 23 points are the body's own statements and 1 belongs to one function literal inside it that branches. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Statement.AddVar (cyclomatic 23) statement.go:175— Statement.AddVar has cyclomatic complexity 23 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Statement.SelectAndOmitColumns (cyclomatic 23) statement.go:715— Statement.SelectAndOmitColumns has cyclomatic complexity 23 (threshold 15). Most of this is not in the body itself: 11 of the 23 points are its own statements and the rest belongs to one function literal inside it that branches (line 719). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
callbacks.preloadEntryPoint (cyclomatic 22) callbacks/preload.go:90— callbacks.preloadEntryPoint has cyclomatic complexity 22 (threshold 15). Of this number, 16 points are the body's own statements and 6 belong to one function literal inside it that branches. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
NotConditions.Build (cyclomatic 22) clause/where.go:168— NotConditions.Build has cyclomatic complexity 22 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Migrator.ReorderModels (cyclomatic 22) migrator/migrator.go:919— Migrator.ReorderModels has cyclomatic complexity 22 (threshold 15). Most of this is not in the body itself: 5 of the 22 points are its own statements and the rest belongs to 2 function literals inside it that branch (lines 934, 983). The decisions are inside those literals, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literals' work into a named function or method at the enclosing scope and have each literal call it, then reduce whichever part then reads as the largest.
DB.Session (cyclomatic 21) gorm.go:261— DB.Session has cyclomatic complexity 21 (threshold 15). To reduce it, split the body: these branches sit side by side rather than nested inside one another, so extracting each one on its own would leave a function per branch. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
DB.assignInterfacesToValue (cyclomatic 20) finisher_api.go:258— DB.assignInterfacesToValue has cyclomatic complexity 20 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Statement.Changed (cyclomatic 20) statement.go:643— Statement.Changed has cyclomatic complexity 20 (threshold 15). Most of this is not in the body itself: 8 of the 20 points are its own statements and the rest belongs to one function literal inside it that branches (line 651). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
callbacks.Delete (cyclomatic 19) callbacks/delete.go:113— callbacks.Delete has cyclomatic complexity 19 (threshold 15). Most of this is not in the body itself: 1 of the 19 points is its own statement and the rest belongs to one function literal inside it that branches (line 116). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
clause.buildExprs (cyclomatic 19) clause/where.go:43— clause.buildExprs has cyclomatic complexity 19 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
schema.GetIdentityFieldValuesMap (cyclomatic 19) schema/utils.go:108— schema.GetIdentityFieldValuesMap has cyclomatic complexity 19 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
NamingStrategy.toDBName (cyclomatic 19) schema/naming.go:131— NamingStrategy.toDBName has cyclomatic complexity 19 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Relationship.ParseConstraint (cyclomatic 19) schema/relationship.go:661— Relationship.ParseConstraint has cyclomatic complexity 19 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
DB.Count (cyclomatic 18) finisher_api.go:454— DB.Count has cyclomatic complexity 18 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Schema.parseRelation (cyclomatic 18) schema/relationship.go:65— Schema.parseRelation has cyclomatic complexity 18 (threshold 15). To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Where every arm is uniform — the same kind of value, with no behaviour of its own — a table keyed by the case is the shorter form; wherever the arms carry different data or different behaviour, keep them as cases, because collapsing those trades an explicit, reviewable set of cases for nothing.
DB.FindInBatches (cyclomatic 17) finisher_api.go:186— DB.FindInBatches has cyclomatic complexity 17 (threshold 15). To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
Migrator.GuessConstraintInterfaceAndTable (cyclomatic 17) migrator/migrator.go:705— Migrator.GuessConstraintInterfaceAndTable has cyclomatic complexity 17 (threshold 15). Of this number, 15 points are the body's own statements and 2 belong to one function literal inside it that branches. To reduce it, separate the cases: extract each independent branch into its own named function, and where the body has guards that only reject input, fold those into early returns at the top.
chainG.Preload (cyclomatic 16) generics.go:481— chainG.Preload has cyclomatic complexity 16 (threshold 15). Most of this is not in the body itself: 1 of the 16 points is its own statement and the rest belongs to one function literal inside it that branches (line 482). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
Hotspot: finisher_api.go finisher_api.go— finisher_api.go changed 2 times in last 90 days, max complexity 20. 2 of those changes were fix/bug commits, so the churn is repair rather than feature work. Before the next change lands here, cover the area it touches with tests, then split that area out of the file so the following change is smaller than this one — a file this often edited pays the complexity back every time.
Field.setupValuerAndSetter (cognitive 282) schema/field.go:451— Field.setupValuerAndSetter has cognitive complexity 282 (threshold 15). Drivers by points: if/else 228, boolean chains 29, match/switch 21, loops 4 (nesting depth added 144). Of this number, 16 points are the body's own statements and 266 belong to 14 function literals inside it that branch. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
callbacks.SaveAfterAssociations (cognitive 246) callbacks/associations.go:110— callbacks.SaveAfterAssociations has cognitive complexity 246 (threshold 15). Drivers by points: if/else 155, loops 69, boolean chains 13, match/switch 9 (nesting depth added 174). Most of this is not in the body itself: 0 of the 246 points are its own statements and the rest belongs to one function literal inside it that branches (line 111). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
callbacks.BuildQuerySQL (cognitive 241) callbacks/query.go:36— callbacks.BuildQuerySQL has cognitive complexity 241 (threshold 15). Drivers by points: if/else 161, loops 63, boolean chains 13, match/switch 4 (nesting depth added 172). Of this number, 154 points are the body's own statements and 87 belong to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
gorm.Scan (cognitive 225) scan.go:126— gorm.Scan has cognitive complexity 225 (threshold 15). Drivers by points: if/else 165, loops 39, boolean chains 15, match/switch 5, jumps 1 (nesting depth added 153). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Statement.BuildCondition (cognitive 221) statement.go:292— Statement.BuildCondition has cognitive complexity 221 (threshold 15). Drivers by points: if/else 142, loops 52, match/switch 15, boolean chains 12 (nesting depth added 154). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Schema.ParseField (cognitive 204) schema/field.go:106— Schema.ParseField has cognitive complexity 204 (threshold 15). Drivers by points: if/else 143, boolean chains 26, loops 26, match/switch 9 (nesting depth added 100). Of this number, 166 points are the body's own statements and 38 belong to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
callbacks.ConvertToAssignments (cognitive 192) callbacks/update.go:145— callbacks.ConvertToAssignments has cognitive complexity 192 (threshold 15). Drivers by points: if/else 137, loops 25, boolean chains 24, match/switch 6 (nesting depth added 119). Of this number, 185 points are the body's own statements and 7 belong to 2 function literals inside it that branch. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
callbacks.ConvertToCreateValues (cognitive 187) callbacks/create.go:245— callbacks.ConvertToCreateValues has cognitive complexity 187 (threshold 15). Drivers by points: if/else 117, loops 36, boolean chains 22, match/switch 12 (nesting depth added 122). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Association.saveAssociation (cognitive 151) association.go:384— Association.saveAssociation has cognitive complexity 151 (threshold 15). Drivers by points: if/else 107, loops 30, match/switch 8, boolean chains 6 (nesting depth added 90). Of this number, 95 points are the body's own statements and 56 belong to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
schema.ParseWithSpecialTableName (cognitive 137) schema/schema.go:139— schema.ParseWithSpecialTableName has cognitive complexity 137 (threshold 15). Drivers by points: if/else 104, loops 16, boolean chains 12, match/switch 5 (nesting depth added 64). Of this number, 136 points are the body's own statements and 1 belongs to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Association.Delete (cognitive 127) association.go:199— Association.Delete has cognitive complexity 127 (threshold 15). Drivers by points: if/else 81, loops 36, match/switch 9, boolean chains 1 (nesting depth added 89). Of this number, 64 points are the body's own statements and 63 belong to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
callbacks.SaveBeforeAssociations (cognitive 111) callbacks/associations.go:13— callbacks.SaveBeforeAssociations has cognitive complexity 111 (threshold 15). Drivers by points: if/else 82, loops 21, boolean chains 5, match/switch 3 (nesting depth added 83). Most of this is not in the body itself: 0 of the 111 points are its own statements and the rest belongs to one function literal inside it that branches (line 14). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
callbacks.Create (cognitive 109) callbacks/create.go:37— callbacks.Create has cognitive complexity 109 (threshold 15). Drivers by points: if/else 84, loops 17, boolean chains 5, match/switch 3 (nesting depth added 62). Most of this is not in the body itself: 0 of the 109 points are its own statements and the rest belongs to one function literal inside it that branches (line 40). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
Migrator.AutoMigrate (cognitive 92) migrator/migrator.go:122— Migrator.AutoMigrate has cognitive complexity 92 (threshold 15). Drivers by points: if/else 72, loops 18, boolean chains 2 (nesting depth added 65). Most of this is not in the body itself: 10 of the 92 points are its own statements and the rest belongs to one function literal inside it that branches (line 130). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
Migrator.MigrateColumn (cognitive 87) migrator/migrator.go:470— Migrator.MigrateColumn has cognitive complexity 87 (threshold 15). Drivers by points: if/else 65, boolean chains 16, loops 3, match/switch 3 (nesting depth added 38). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Schema.guessRelation (cognitive 85) schema/relationship.go:456— Schema.guessRelation has cognitive complexity 85 (threshold 15). Drivers by points: if/else 59, loops 16, boolean chains 5, match/switch 3, jumps 2 (nesting depth added 39). Of this number, 84 points are the body's own statements and 1 belongs to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Association.Replace (cognitive 82) association.go:75— Association.Replace has cognitive complexity 82 (threshold 15). Drivers by points: if/else 56, loops 18, match/switch 6, boolean chains 2 (nesting depth added 52). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
callbacks.preload (cognitive 72) callbacks/preload.go:185— callbacks.preload has cognitive complexity 72 (threshold 15). Drivers by points: if/else 40, loops 22, match/switch 9, boolean chains 1 (nesting depth added 35). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
callbacks.DeleteBeforeAssociations (cognitive 69) callbacks/delete.go:26— callbacks.DeleteBeforeAssociations has cognitive complexity 69 (threshold 15). Drivers by points: if/else 48, loops 15, boolean chains 3, match/switch 3 (nesting depth added 47). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
callbacks.preloadEntryPoint (cognitive 69) callbacks/preload.go:90— callbacks.preloadEntryPoint has cognitive complexity 69 (threshold 15). Drivers by points: if/else 54, loops 9, match/switch 4, boolean chains 2 (nesting depth added 46). Of this number, 59 points are the body's own statements and 10 belong to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
DB.assignInterfacesToValue (cognitive 69) finisher_api.go:258— DB.assignInterfacesToValue has cognitive complexity 69 (threshold 15). Drivers by points: if/else 49, match/switch 11, loops 9 (nesting depth added 52). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Migrator.CreateTable (cognitive 64) migrator/migrator.go:216— Migrator.CreateTable has cognitive complexity 64 (threshold 15). Drivers by points: if/else 46, loops 15, boolean chains 3 (nesting depth added 39). Most of this is not in the body itself: 3 of the 64 points are its own statements and the rest belongs to one function literal inside it that branches (line 219). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
logger.ExplainSQL (cognitive 63) logger/sql.go:51— logger.ExplainSQL has cognitive complexity 63 (threshold 15). Drivers by points: if/else 41, boolean chains 10, loops 6, match/switch 6 (nesting depth added 24). Most of this is not in the body itself: 12 of the 63 points are its own statements and the rest belongs to 2 function literals inside it that branch (lines 57, 172). The decisions are inside those literals, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literals' work into a named function or method at the enclosing scope and have each literal call it, then reduce whichever part then reads as the largest.
NamedExpr.Build (cognitive 60) clause/expression.go:67— NamedExpr.Build has cognitive complexity 60 (threshold 15). Drivers by points: if/else 43, loops 9, match/switch 5, boolean chains 3 (nesting depth added 32). Of this number, 42 points are the body's own statements and 18 belong to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
NotConditions.Build (cognitive 56) clause/where.go:168— NotConditions.Build has cognitive complexity 56 (threshold 15). Drivers by points: if/else 45, loops 5, match/switch 4, boolean chains 2 (nesting depth added 33). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Schema.buildMany2ManyRelation (cognitive 54) schema/relationship.go:271— Schema.buildMany2ManyRelation has cognitive complexity 54 (threshold 15). Drivers by points: if/else 46, loops 7, boolean chains 1 (nesting depth added 24). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
gorm.Open (cognitive 51) gorm.go:138— gorm.Open has cognitive complexity 51 (threshold 15). Drivers by points: if/else 48, boolean chains 2, loops 1 (nesting depth added 21). Of this number, 44 points are the body's own statements and 7 belong to 2 function literals inside it that branch. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
gorm.sortCallbacks (cognitive 50) callbacks.go:261— gorm.sortCallbacks has cognitive complexity 50 (threshold 15). Drivers by points: if/else 42, boolean chains 5, loops 3 (nesting depth added 19). Most of this is not in the body itself: 10 of the 50 points are its own statements and the rest belongs to 2 function literals inside it that branch (lines 284, 266). The decisions are inside those literals, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literals' work into a named function or method at the enclosing scope and have each literal call it, then reduce whichever part then reads as the largest.
Statement.AddVar (cognitive 47) statement.go:175— Statement.AddVar has cognitive complexity 47 (threshold 15). Drivers by points: if/else 31, loops 10, match/switch 5, boolean chains 1 (nesting depth added 28). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Statement.Changed (cognitive 44) statement.go:643— Statement.Changed has cognitive complexity 44 (threshold 15). Drivers by points: if/else 32, loops 7, boolean chains 4, match/switch 1 (nesting depth added 23). Of this number, 17 points are the body's own statements and 27 belong to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
setCreateOrUpdateG.handleAssociation (cognitive 41) generics.go:795— setCreateOrUpdateG.handleAssociation has cognitive complexity 41 (threshold 15). Drivers by points: if/else 20, loops 9, match/switch 7, boolean chains 5 (nesting depth added 19). Of this number, 38 points are the body's own statements and 3 belong to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Statement.QuoteTo (cognitive 40) statement.go:85— Statement.QuoteTo has cognitive complexity 40 (threshold 15). Drivers by points: if/else 35, loops 4, match/switch 1 (nesting depth added 17). Of this number, 38 points are the body's own statements and 2 belong to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Statement.SetColumn (cognitive 40) statement.go:587— Statement.SetColumn has cognitive complexity 40 (threshold 15). Drivers by points: if/else 23, loops 10, match/switch 7 (nesting depth added 24). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Migrator.ReorderModels (cognitive 39) migrator/migrator.go:919— Migrator.ReorderModels has cognitive complexity 39 (threshold 15). Drivers by points: if/else 30, loops 7, boolean chains 2 (nesting depth added 16). Most of this is not in the body itself: 6 of the 39 points are its own statements and the rest belongs to 2 function literals inside it that branch (lines 934, 983). The decisions are inside those literals, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literals' work into a named function or method at the enclosing scope and have each literal call it, then reduce whichever part then reads as the largest.
clause.buildExprs (cognitive 38) clause/where.go:43— clause.buildExprs has cognitive complexity 38 (threshold 15). Drivers by points: if/else 29, boolean chains 5, match/switch 3, loops 1 (nesting depth added 21). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
chainG.Preload (cognitive 38) generics.go:481— chainG.Preload has cognitive complexity 38 (threshold 15). Drivers by points: if/else 27, loops 11 (nesting depth added 20). Most of this is not in the body itself: 0 of the 38 points are its own statements and the rest belongs to one function literal inside it that branches (line 482). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
Schema.ParseIndexes (cognitive 38) schema/index.go:30— Schema.ParseIndexes has cognitive complexity 38 (threshold 15). Drivers by points: if/else 31, loops 5, boolean chains 2 (nesting depth added 24). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
callbacks.Delete (cognitive 37) callbacks/delete.go:113— callbacks.Delete has cognitive complexity 37 (threshold 15). Drivers by points: if/else 33, boolean chains 2, loops 2 (nesting depth added 20). Most of this is not in the body itself: 0 of the 37 points are its own statements and the rest belongs to one function literal inside it that branches (line 116). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
DB.scanIntoStruct (cognitive 37) scan.go:54— DB.scanIntoStruct has cognitive complexity 37 (threshold 15). Drivers by points: if/else 30, loops 5, boolean chains 2 (nesting depth added 21). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
schema.parseFieldIndexes (cognitive 36) schema/index.go:99— schema.parseFieldIndexes has cognitive complexity 36 (threshold 15). Drivers by points: if/else 32, boolean chains 3, loops 1 (nesting depth added 24). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
processor.Execute (cognitive 34) callbacks.go:75— processor.Execute has cognitive complexity 34 (threshold 15). Drivers by points: if/else 25, boolean chains 5, loops 4 (nesting depth added 9). Of this number, 32 points are the body's own statements and 2 belong to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
schema.GetIdentityFieldValuesMap (cognitive 34) schema/utils.go:108— schema.GetIdentityFieldValuesMap has cognitive complexity 34 (threshold 15). Drivers by points: if/else 20, loops 9, boolean chains 4, match/switch 1 (nesting depth added 17). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Relationship.ParseConstraint (cognitive 34) schema/relationship.go:661— Relationship.ParseConstraint has cognitive complexity 34 (threshold 15). Drivers by points: if/else 22, loops 7, boolean chains 5 (nesting depth added 16). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Statement.SelectAndOmitColumns (cognitive 34) statement.go:715— Statement.SelectAndOmitColumns has cognitive complexity 34 (threshold 15). Drivers by points: if/else 17, loops 11, boolean chains 6 (nesting depth added 10). Most of this is not in the body itself: 15 of the 34 points are its own statements and the rest belongs to one function literal inside it that branches (line 719). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
callbacks.Update (cognitive 33) callbacks/update.go:56— callbacks.Update has cognitive complexity 33 (threshold 15). Drivers by points: if/else 30, loops 2, boolean chains 1 (nesting depth added 17). Most of this is not in the body itself: 0 of the 33 points are its own statements and the rest belongs to one function literal inside it that branches (line 59). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
DB.Count (cognitive 32) finisher_api.go:454— DB.Count has cognitive complexity 32 (threshold 15). Drivers by points: if/else 28, boolean chains 4 (nesting depth added 14). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
DB.FindInBatches (cognitive 30) finisher_api.go:186— DB.FindInBatches has cognitive complexity 30 (threshold 15). Drivers by points: if/else 26, boolean chains 3, loops 1 (nesting depth added 14). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
callbacks.ConvertSliceOfMapToValuesForCreate (cognitive 28) callbacks/helper.go:43— callbacks.ConvertSliceOfMapToValuesForCreate has cognitive complexity 28 (threshold 15). Drivers by points: if/else 19, loops 6, boolean chains 3 (nesting depth added 14). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
NamingStrategy.toDBName (cognitive 28) schema/naming.go:131— NamingStrategy.toDBName has cognitive complexity 28 (threshold 15). Drivers by points: if/else 20, boolean chains 7, loops 1 (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Migrator.GuessConstraintInterfaceAndTable (cognitive 25) migrator/migrator.go:705— Migrator.GuessConstraintInterfaceAndTable has cognitive complexity 25 (threshold 15). Drivers by points: if/else 15, loops 7, boolean chains 2, match/switch 1 (nesting depth added 10). Of this number, 24 points are the body's own statements and 1 belongs to one function literal inside it that branches. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
DB.Select (cognitive 24) chainable_api.go:112— DB.Select has cognitive complexity 24 (threshold 15). Drivers by points: if/else 9, match/switch 8, loops 5, boolean chains 2 (nesting depth added 12). The drivers above price the dispatch low by construction — a dispatch is charged once however many cases it lists, while each branch inside an arm is charged in full — so most of this count is what the case bodies hold, and the arms are where it can be reduced. To reduce it, keep the dispatch but shrink the arms: move each non-trivial case body into its own named function (or onto the value being matched) so the dispatch reads one line per case, and group related cases into a sub-dispatch. Keep every case explicit, and make the behaviour for cases you do not list a deliberate choice rather than an accident.
DB.FirstOrCreate (cognitive 22) finisher_api.go:358— DB.FirstOrCreate has cognitive complexity 22 (threshold 15). Drivers by points: if/else 16, match/switch 4, loops 2 (nesting depth added 11). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
DB.Session (cognitive 22) gorm.go:261— DB.Session has cognitive complexity 22 (threshold 15). Drivers by points: if/else 19, match/switch 2, boolean chains 1 (nesting depth added 2). To reduce it, split the body: this score is breadth rather than depth — many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
schema.GetRelationsValues (cognitive 21) schema/utils.go:70— schema.GetRelationsValues has cognitive complexity 21 (threshold 15). Drivers by points: if/else 8, loops 8, match/switch 5 (nesting depth added 13). Most of this is not in the body itself: 6 of the 21 points are its own statements and the rest belongs to one function literal inside it that branches (line 74). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
callbacks.parsePreloadMap (cognitive 20) callbacks/preload.go:38— callbacks.parsePreloadMap has cognitive complexity 20 (threshold 15). Drivers by points: loops 11, if/else 9 (nesting depth added 11). Of this number, 18 points are the body's own statements and 2 belong to one function literal inside it that branches. To reduce it, break up the iteration: give each loop body a named function, and split a multi-phase loop into one function per phase so no single body carries the whole pipeline.
callbacks.SetupUpdateReflectValue (cognitive 20) callbacks/update.go:13— callbacks.SetupUpdateReflectValue has cognitive complexity 20 (threshold 15). Drivers by points: if/else 11, loops 7, boolean chains 2 (nesting depth added 12). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
DB.Save (cognitive 20) finisher_api.go:85— DB.Save has cognitive complexity 20 (threshold 15). Drivers by points: if/else 12, loops 4, boolean chains 3, match/switch 1 (nesting depth added 9). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
DB.Transaction (cognitive 19) finisher_api.go:637— DB.Transaction has cognitive complexity 19 (threshold 15). Drivers by points: if/else 16, boolean chains 3 (nesting depth added 8). Of this number, 12 points are the body's own statements and 7 belong to 2 function literals inside it that branch. To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
chainG.Joins (cognitive 18) generics.go:376— chainG.Joins has cognitive complexity 18 (threshold 15). Drivers by points: if/else 18 (nesting depth added 8). Most of this is not in the body itself: 0 of the 18 points are its own statements and the rest belongs to one function literal inside it that branches (line 377). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
Schema.setRelation (cognitive 18) schema/relationship.go:147— Schema.setRelation has cognitive complexity 18 (threshold 15). Drivers by points: if/else 17, loops 1 (nesting depth added 8). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Schema.buildPolymorphicRelation (cognitive 18) schema/relationship.go:195— Schema.buildPolymorphicRelation has cognitive complexity 18 (threshold 15). Drivers by points: if/else 17, boolean chains 1 (nesting depth added 6). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
SoftDeleteQueryClause.ModifyStatement (cognitive 18) soft_delete.go:76— SoftDeleteQueryClause.ModifyStatement has cognitive complexity 18 (threshold 15). Drivers by points: if/else 11, loops 4, boolean chains 3 (nesting depth added 10). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Expr.Build (cognitive 17) clause/expression.go:28— Expr.Build has cognitive complexity 17 (threshold 15). Drivers by points: if/else 12, loops 3, boolean chains 2 (nesting depth added 6). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
gorm.prepareValues (cognitive 16) scan.go:15— gorm.prepareValues has cognitive complexity 16 (threshold 15). Drivers by points: if/else 10, loops 6 (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
OnConflict.Build (cognitive 16) clause/on_conflict.go:18— OnConflict.Build has cognitive complexity 16 (threshold 15). Drivers by points: if/else 13, loops 3 (nesting depth added 7). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
DB.CreateInBatches (cognitive 16) finisher_api.go:30— DB.CreateInBatches has cognitive complexity 16 (threshold 15). Drivers by points: if/else 9, loops 5, boolean chains 1, match/switch 1 (nesting depth added 8). Most of this is not in the body itself: 5 of the 16 points are its own statements and the rest belongs to one function literal inside it that branches (line 41). The decisions are inside the literal, which nothing outside this body can call, review or test on its own, so splitting the enclosing body is not the move available here. To reduce it, lift the literal's work into a named function or method at the enclosing scope and have the literal call it, then reduce whichever part then reads as the largest.
Relationship.ToQueryConditions (cognitive 16) schema/relationship.go:728— Relationship.ToQueryConditions has cognitive complexity 16 (threshold 15). Drivers by points: if/else 12, loops 4 (nesting depth added 6). To reduce it, split the body into named stages: move each independent step or branch into its own named function so the body reads as a short sequence of named calls rather than one long body.
Schema.parseRelation (cognitive 16) schema/relationship.go:65— Schema.parseRelation has cognitive complexity 16 (threshold 15). Drivers by points: if/else 9, match/switch 6, boolean chains 1 (nesting depth added 4). To reduce it, split the body: this score is breadth rather than depth — many checks laid out side by side rather than nested inside one another, so inverting conditions into early returns has nothing left to flatten. Group the statements between the checks into named steps and move each step into its own function, so the body reads as a short sequence of named stages.
Medium: use-of-sha1 schema/naming.go:108— Detected SHA1 hash algorithm which is considered insecure. SHA1 is not collision resistant and is therefore not suitable as a cryptographic signature. Use SHA256 or SHA3 instead. This is a semgrep security-AUDIT rule: it reports that a sensitive pattern is present, not that it is exploitable here. Confirm whether the flagged value reaches a security decision — a credential, token, nonce, key, salt or session id, or an externally reachable surface — and apply the change where it does; where it provably does not (cosmetic, simulation, or deliberately reproducible use), record the review and leave the code as it is.
Unpinned build actions — CI references GitHub Actions by a floating ref (@main / @tag) rather than a pinned commit SHA, weakening build integrity. 32 floating ref(s) across 7 workflow file(s), 2 of them mutable BRANCH refs — pin those first. Each floating ref is itemized at file:line by the SAST (D29) lens.
D36 · Supply-chain Provenance & Signing· PR-triggered workflow without a permissions block · ×1
PR-triggered workflow without a permissions block — 1 workflow(s) triggered by pull_request declare no `permissions:` block (labeler.yml) and so run with the repository's default GITHUB_TOKEN scope, while 6 sibling workflows in the same repository are already scoped. Pull-request runs build the least-trusted code in the repository; give each of these workflows its own least-privilege block — `permissions: {contents: read}` at the top of the workflow, widened per job only where a job genuinely writes.
Duplicated block (12 lines × 2) clause/where.go:192— clause/where.go:192-203 | clause/where.go:227-238 — both copies are in the same file, so extract the block into one function there and call it from each site — the copies drift apart the first time only one of them is edited.
Recommendation — 8 finding(s)
D11 · Test Reliability· Test reliability not included · ×1
Test reliability not included — Test source is present (.go) but the built-in reliability runner does not support this repository's ecosystem, so flakiness couldn't be assessed. Not scored — this is a gap in the analyzer's language coverage, not a finding about this repository.
Off-boarding risk: anonymized user #1 — If anonymized user #1 becomes unavailable, 1 significant file(s) lose their only recent owner: logger/sql.go. Pair on, review, or document these before any departure.
D16 · Bus Factor· Further sole-owners (lower concentration) · ×1
Further sole-owners (lower concentration) — 1 other contributor(s) are each the sole owner of a small amount of code below the off-boarding threshold — folded into the bus-factor score and metrics (2 single-owned of 37 analysed files in total, counted over production source files of roughly 100 lines or more, excluding tests, vendored, generated and example/demo trees, largest first). They are anonymized user #2 (1 file(s)) — spread or document their files in the same way, at lower priority than the named off-boarding risks above.
D34 · Knowledge Freshness· Further orphaned files (smaller) · ×1
Further orphaned files (smaller) — 10 of 37 analysed file(s) have no living knowledge left — their last meaningful change has decayed away, so if one breaks, no one currently understands it (counted over production source files of roughly 100 lines or more, excluding tests, vendored, generated and example/demo trees, largest first). None is large enough to earn a read-through of its own, so this row stands in for the per-file rows rather than raising one each — largest first: callbacks/associations.go, callbacks/query.go, prepare_stmt.go (and 7 more). Attach the read to the next change that touches one of them: have a second person review that change, and leave behind a short comment or test recording what the file is for, so the knowledge comes back at the cost of a change you were making anyway.
No build provenance — No SLSA provenance generation or build attestation found in CI — nothing binds a released artifact to the build that produced it, so a consumer cannot tell your artifact from a substituted one. On GitHub Actions, `actions/attest-build-provenance` (or slsa-github-generator) emits one from the job's own OIDC identity; elsewhere, run `cosign attest` over the released artifact from the release pipeline and publish the attestation beside it.
No artifact signing — No artifact signing found in CI — sign your released artifacts with whatever your ecosystem ships (a GPG/minisign detached signature — or `cosign sign-blob` — over the release archives, or over a checksum file published alongside them) so consumers can verify what you built.
D36 · Supply-chain Provenance & Signing· No SBOM · ×1
No SBOM — No SBOM generation or committed SBOM found — produce one with what your ecosystem ships (`cyclonedx-gomod` over the module graph — or Go's own build info, which already records the module set in the binary, `syft` (or `anchore/sbom-action` in CI) over the source tree or released image). Publish it as a release asset (`*.spdx.json` / `*.cdx.json`) so consumers can see what they are installing.
Coverage not included — suite not readable by the collector — Coverage NOT MEASURED: test source is present (.go) but the built-in coverage collector has no runner for this repository's ecosystem — so this suite was never executed by it. Not scored — this is a gap in the analyzer's language coverage, not a defect in the repo. To have real coverage read, produce a coverage report in a standard format (`go test -coverprofile=coverage.out ./...`) into the repo working tree before the scan — a CI step is the usual place, since the artefact is commonly gitignored.
Info — 2 finding(s)
D12 · Dependency Hygiene· Dependency hygiene not measured · ×1
Dependency hygiene not measured — dependency manifest found but not parsed for hygiene — This repository's dependency manifest (a Go module (go.mod/go.sum)) was found, but this pass cannot parse it for hygiene, so no package was assessed. Zero packages read is NOT a clean dependency tree, so this is NOT SCORED — a gap in the analyzer, not a verdict about this repository. This row is about dependency HYGIENE — outdated, deprecated or unmaintained direct dependencies; known CVEs in the same dependency graph are a separate question, reported under D38 wherever the manifest is OSV-readable.
D22 · Internal API Consistency· No exposed public API · ×1
No exposed public API — No intentionally-exposed types (IsPackable or .Contracts) to evaluate.
Appendix B — Reproduction & audit trail
Every external tool invocation behind a deep-scan dimension — the tool, its captured version, the exact command, how many findings it yielded, and a link to the retained raw output. To reproduce any finding: check out the same commit and run the command shown (repo-relative — never an absolute scratch path). The complete raw scanner output is retained verbatim under artifacts/raw/ (indexed in artifacts/raw/index.json); per-invocation exit codes and wall-clock durations are in sidecar.json — kept out of this table so the rendered report stays byte-identical across runs of the same commit.
trivy: not applicable — No Infrastructure-as-Code or container manifests found (Dockerfile, Terraform, Kubernetes/Helm, CloudFormation); nothing to scan.
trivy: not applicable — No JS/npm manifest or lockfile found outside build output (package.json, package-lock.json, yarn.lock, pnpm-lock.yaml, bun.lockb); no JS dependencies to scan.
disclosure: not applicable — No vulnerability-disclosure policy file found (SECURITY.md/.markdown/.rst/.txt at root or under .github/.forgejo/.gitea/docs, .well-known/security.txt). A coordinated-disclosure policy may live off-repo, so this is not evidenced rather than failed.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; network egress policy is a cluster-native control that may live at the platform/firewall layer, so there is nothing to assess here.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; seccomp/AppArmor/SELinux confinement is a workload-level control, so there is nothing to assess here.
runtime-hardening: not applicable — No Kubernetes/orchestration workloads found in the repository manifests; runtime threat-detection and admission-control policy are cluster-level controls, so there is nothing to assess here.
0
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Run 019fd5d6-6005-73b0-b976-bf83492d8067 · every finding is also locatable in findings.md, and the complete scoring record (with exit codes + durations) in sidecar.json.
Issues: 11 · Warnings: 155 · Recommendations: 8 · Info: 2 — Appendix A · all findings · full markdown report.
Generated by Watchdog — deterministic code-health analysis. 06-08-2026 @ 06:50 UTC.
Downloadable artifacts
Machine-readable and reproducible from this commit + frozen rubric — drop them straight into a contract appendix, a CRA dossier, or a downstream SCA / VEX tool.