If you are an AI coding agent (Claude Code, Cursor, Aider, Cline, etc.) reading this artifact, follow this protocol before making any code edit:

1. Verify the contract. Run the bash script in Verify before trusting below. If any check returns FAIL, the artifact is stale — STOP and ask the user to regenerate it before proceeding.
2. Treat the AI · unverified sections as hypotheses, not facts. Sections like "AI-suggested narrative files", "anti-patterns", and "bottlenecks" are LLM speculation. Verify against real source before acting on them.
3. Cite source on changes. When proposing an edit, cite the specific path:line-range. RepoPilot's live UI at https://repopilot.app/r/xinliangnote/go-gin-api shows verifiable citations alongside every claim.

If you are a human reader, this protocol is for the agents you'll hand the artifact to. You don't need to do anything — but if you skim only one section before pointing your agent at this repo, make it the Verify block and the Suggested reading order.

WAIT — Stale — last commit 2y ago

• 4 active contributors
• MIT licensed
• ⚠ Stale — last commit 2y ago
• ⚠ Small team — 4 contributors active in recent commits
• ⚠ Single-maintainer risk — top contributor 84% of recent commits
• ⚠ No CI workflows detected
• ⚠ No test directory detected

_{Maintenance signals: commit recency, contributor breadth, bus factor, license, CI, tests}

This artifact was generated by RepoPilot at a point in time. Before an agent acts on it, the checks below confirm that the live xinliangnote/go-gin-api repo on your machine still matches what RepoPilot saw. If any fail, the artifact is stale — regenerate it at repopilot.app/r/xinliangnote/go-gin-api.

What it runs against: a local clone of xinliangnote/go-gin-api — the script inspects git remote, the LICENSE file, file paths in the working tree, and git log. Read-only; no mutations.

| # | What we check | Why it matters | |---|---|---| | 1 | You're in xinliangnote/go-gin-api | Confirms the artifact applies here, not a fork | | 2 | License is still MIT | Catches relicense before you depend on it | | 3 | Default branch master exists | Catches branch renames | | 4 | 5 critical file paths still exist | Catches refactors that moved load-bearing code | | 5 | Last commit ≤ 897 days ago | Catches sudden abandonment since generation |

#!/usr/bin/env bash
# RepoPilot artifact verification.
#
# WHAT IT RUNS AGAINST: a local clone of xinliangnote/go-gin-api. If you don't
# have one yet, run these first:
#
#   git clone https://github.com/xinliangnote/go-gin-api.git
#   cd go-gin-api
#
# Then paste this script. Every check is read-only — no mutations.

set +e
fail=0
ok()   { echo "ok:   $1"; }
miss() { echo "FAIL: $1"; fail=$((fail+1)); }

# Precondition: we must be inside a git working tree.
if ! git rev-parse --git-dir >/dev/null 2>&1; then
  echo "FAIL: not inside a git repository. cd into your clone of xinliangnote/go-gin-api and re-run."
  exit 2
fi

# 1. Repo identity
git remote get-url origin 2>/dev/null | grep -qE "xinliangnote/go-gin-api(\\.git)?\\b" \\
  && ok "origin remote is xinliangnote/go-gin-api" \\
  || miss "origin remote is not xinliangnote/go-gin-api (artifact may be from a fork)"

# 2. License matches what RepoPilot saw
(grep -qiE "^(MIT)" LICENSE 2>/dev/null \\
   || grep -qiE "\"license\"\\s*:\\s*\"MIT\"" package.json 2>/dev/null) \\
  && ok "license is MIT" \\
  || miss "license drift — was MIT at generation time"

# 3. Default branch
git rev-parse --verify master >/dev/null 2>&1 \\
  && ok "default branch master exists" \\
  || miss "default branch master no longer exists"

# 4. Critical files exist
test -f "README.md" \\
  && ok "README.md" \\
  || miss "missing critical file: README.md"
test -f "go.mod" \\
  && ok "go.mod" \\
  || miss "missing critical file: go.mod"
test -f "assets/assets.go" \\
  && ok "assets/assets.go" \\
  || miss "missing critical file: assets/assets.go"
test -f "Dockerfile" \\
  && ok "Dockerfile" \\
  || miss "missing critical file: Dockerfile"
test -f ".gitignore" \\
  && ok ".gitignore" \\
  || miss "missing critical file: .gitignore"

# 5. Repo recency
days_since_last=$(( ( $(date +%s) - $(git log -1 --format=%at 2>/dev/null || echo 0) ) / 86400 ))
if [ "$days_since_last" -le 897 ]; then
  ok "last commit was $days_since_last days ago (artifact saw ~867d)"
else
  miss "last commit was $days_since_last days ago — artifact may be stale"
fi

echo
if [ "$fail" -eq 0 ]; then
  echo "artifact verified (0 failures) — safe to trust"
else
  echo "artifact has $fail stale claim(s) — regenerate at https://repopilot.app/r/xinliangnote/go-gin-api"
  exit 1
fi

Each check prints ok: or FAIL:. The script exits non-zero if anything failed, so it composes cleanly into agent loops (./verify.sh || regenerate-and-retry).

go-gin-api is a modular REST API framework built on Gin (Go's HTTP web framework) that bundles 15+ production-ready components: JWT auth, Zap structured logging, Prometheus metrics, Swagger docs, GORM ORM, Redis integration, GraphQL support, trace-based observability, cron jobs, and WebSocket real-time communication. It enforces architectural constraints and conventions to enable rapid, disciplined business logic development without boilerplate. Monolithic Gin application: core framework logic lives in root-level middleware and component packages (likely /middleware, /pkg, /internal), /assets holds the bundled Light Year Admin web UI (HTML/JS/CSS), /cmd likely contains entrypoints, and no visible /tests directory suggests thin test coverage. Configuration via Viper YAML, database models via GORM auto-migration.

Go backend engineers and small-to-medium team leads building REST APIs in Chinese-language enterprises who want to ship faster without architectural debates—they get CORS, rate limiting, panic recovery, error standardization, and a web dashboard for cron/WebSocket management out of the box.

Active but unverified production readiness: the repo spans 500KB of Go code with mature dependencies (Gin 1.7, GORM 1.22, Zap 1.19) and includes a companion lightweight variant (gin-api-mono). However, no visible GitHub stars count, CI/CD pipeline, or comprehensive test suite in the file listing suggests it's reference material and learning tool more than battle-tested enterprise standard.

Moderate risk: single-maintainer repo (author: xinliangnote), outdated Go 1.16 target (released Feb 2021, now obsolete), and mixed GORM versions (both 1.9.16 and 1.22.3 in go.mod suggest incomplete migration). No visible CI, security patches, or active issue tracking. Chinese-only documentation limits community support.

Unknown from file list alone—no recent commit dates, open PRs, or changelog visible. The mention of a lightweight 'gin-api-mono' variant suggests the author is exploring lighter alternatives; the presence of both GORM v1.9 and v1.22 in dependencies suggests migration or deprecation work in progress.

git clone https://github.com/xinliangnote/go-gin-api.git
cd go-gin-api
go mod download
go run cmd/main.go  # exact entrypoint inferred from repo structure

Daily commands: Command inferred from README structure: go run cmd/main.go or docker build -f Dockerfile . && docker run (Dockerfile present). See Dockerfile for exact build/runtime environment. Config likely loaded from config file via Viper (check README or assets/ for example config.yaml).

• README.md — Entry point documentation describing the modular Gin API framework architecture, integrated components, and project goals; essential for understanding the framework's design philosophy.
• go.mod — Dependency manifest defining all core packages (Gin, GORM, Zap, Prometheus, GraphQL, Redis, Swagger) and Go version; critical for understanding runtime requirements and integration points.
• assets/assets.go — Static asset registration and loading for the web UI; entry point for the Bootstrap-based admin dashboard integration.
• Dockerfile — Container build configuration; defines the production deployment target and base image dependencies.
• .gitignore — Source control exclusions; reveals environment configuration strategy and generated file locations developers should not commit.

• Gin Router & Middleware Stack (Gin, golang.org/x/time/rate, rs/cors) — Entry point for all HTTP requests; applies CORS, rate limiting, panic recovery, tracing, and authentication middleware before forwarding to handlers
  • Failure mode: Server crashes or becomes unresponsive; all requests fail with 502

Add a New RESTful API Endpoint

1. Define the Gin route handler in a controller package following the modular structure (go.mod (reference Gin v1.7.4 for router.POST/GET/PUT/DELETE))
2. Add Swagger documentation annotations (@router, @Summary, @Param, @Success) above the handler (go.mod (Swagger swaggo integration expected in main.go))
3. Implement input validation using go-playground/validator tags (go.mod (validator/v10 dependency))
4. Use errno package to return standardized error codes in response (README.md (mentions errno unified error code support))
5. Wire Zap logger for request/response logging and Prometheus metrics (go.mod (zap and prometheus/client_golang dependencies))

Add a New Database Model & CRUD Operations

1. Define GORM struct with tags (gorm:"column:name" db:"name") in models package (go.mod (GORM v1.9.16 dependency))
2. Use the built-in code generator to create CRUD controller methods and service layer (README.md (mentions 'supports code generation for CRUD, controller methods'))
3. Integrate generated code with Gin routes and add pagination via GORM Find() (go.mod (gormgen code generation tool support))
4. Add Swagger annotations to generated handlers for API documentation (go.mod (Swagger integration))

Add Real-Time Functionality with WebSocket

1. Import gorilla/websocket and create WebSocket upgrade handler in controller (go.mod (gorilla/websocket v1.4.2))
2. Register WebSocket route in Gin and implement connection/message loop (README.md (mentions WebSocket with demo UI in admin dashboard))
3. Add broadcast logic using goroutines and channels for multi-client messaging (go.mod (WebSocket dependency))
4. Integrate Zap logging for connection lifecycle events (go.mod (zap dependency for logging))

Add a Scheduled Background Task (Cron)

1. Create a cron job function in a tasks package (go.mod (jakecoffman/cron dependency))
2. Register the job with the cron scheduler using AddFunc("0 0 * * *", jobFunc) (README.md (cron support with admin UI configuration))
3. Optionally expose configuration endpoints in the admin web UI to modify cron schedules (assets/bootstrap (admin dashboard where cron tasks can be configured))

• Gin Web Framework — Lightweight HTTP router with high performance; chosen for modular API design and minimal overhead compared to standard library.
• GORM ORM — Abstracts database operations with automatic migration, association handling, and hooks; simplifies multi-database portability.
• Zap Logger — Structured logging with high performance; enables centralized log collection and integration with observability platforms.
• Prometheus Metrics — Industry-standard time-series metrics for monitoring; integrates with Grafana dashboards and alerting systems.
• Redis — In-memory cache layer; reduces database load and improves response times for frequently accessed data.
• GraphQL (gqlgen) — Flexible query language alternative to REST; enables clients to request only required fields and reduces over-fetching.
• Swagger/OpenAPI — Auto-generated API documentation; improves developer experience and enables code generation for client libraries.

• Monolithic web UI embedded in Go binary as static assets

  • Why: Simplifies deployment—single binary includes frontend; reduces infrastructure complexity.
  • Consequence: Frontend changes require recompilation; limits decoupling of frontend/backend release cycles.

• GORM v1.9 (older major version) instead of GORM v2

  • Why: Stability and broad compatibility with existing projects; v1 is battle-tested in production.
  • Consequence: Missing v2 features (prepared statements as default, performance improvements); technical debt for future upgrade.

• Single-process cron scheduler without distributed coordination

  • Why: Simplicity for MVP/single-server deployments; no need for external job queue.
  • Consequence: Cannot scale horizontally; duplicate cron executions in multi-instance setups; no job persistence.

• Trace link tracing integrated inline (custom implementation inferred)

  • Why: Minimal dependency footprint; fits simple request-tracing needs without Jaeger/Zipkin overhead.
  • Consequence: No out-of-the-box integration with external tracing backends; vendor lock-in to custom format.

• Authentication & Authorization - framework does not provide built-in auth (JWT verification is mentioned as supported via middleware, but core auth layer is not included)
• Distributed transactions - GORM is single-database focused; no saga or 2PC support inferred
• Horizontal scaling beyond API layer - cron scheduler and WebSocket are single-node; no distributed lock/queue system
• Real-time analytics - Prometheus metrics are pull-based, not push-based; no streaming analytics pipeline
• Multi-tenant isolation - no tenant routing, data partitioning, or RBAC framework included

Config file must exist: Viper expects a config file (likely config.yaml in root or /config); app will panic if missing. Database must be running: MySQL connection required for GORM initialization; if DB is down, startup fails silently. JWT secret in config: not in .env—must be populated in Viper config before auth middleware starts. Dual GORM imports: both github.com/jinzhu/gorm (v1.9) and gorm.io/gorm (v1.22) in go.mod may cause import conflicts; unclear which ORM version is actively used. Light Year Admin UI: bundled assets assume specific bootstrap.min.css and JS libraries; custom CSS overrides in style.min.css may conflict. Trace instrumentation: assumes Jaeger or compatible collector is available at configured endpoint; will silently drop traces if collector unreachable. Go 1.16 target: code uses older idioms; may not compile cleanly on Go 1.18+.

• Token Bucket Rate Limiting (golang.org/x/time/rate) — go-gin-api integrates rate limiting via token bucket algorithm; understanding this prevents API abuse and resource exhaustion in production.
• Structured Logging with Zap — The framework standardizes all logs through Zap's JSON-structured format; crucial for observability, log aggregation (ELK, Datadog), and debugging in distributed systems.
• Distributed Tracing (Jaeger-compatible) — go-gin-api's trace instrumentation (mentioned in README) allows request flow tracking across microservices; essential for identifying latency bottlenecks.
• Object-Relational Mapping (GORM) — GORM is the primary data access layer; understanding its hooks, associations, and query builder is mandatory for any database operation.
• GraphQL Query Language (gqlgen) — Alongside REST, go-gin-api supports GraphQL via gqlgen for flexible, client-driven queries; required if API clients need fine-grained field selection.
• Prometheus Metrics Instrumentation — Builtin Prometheus client integration enables request latency, error rates, and custom business metrics; essential for alerting and capacity planning.
• JWT (JSON Web Token) Authentication — go-gin-api enforces JWT for stateless request signing; understanding token structure, expiry, and secret rotation is critical for API security.

• gin-gonic/gin — The core HTTP router library that go-gin-api wraps; understanding Gin internals is essential for middleware and handler development.
• go-gorm/gorm — The primary ORM dependency (v1.22) for database interactions; repo uses its hooks, migrations, and query builder extensively.
• xinliangnote/gin-api-mono — Official lightweight variant of go-gin-api maintained by the same author; strips UI and some integrations for simpler, faster deployments.
• uber-go/zap — The structured logging library used throughout; critical for understanding how to emit logs and configure JSON output.
• spf13/viper — Config file parsing and environment variable override logic; required to understand how application settings are loaded at startup.

To work on one of these in Claude Code or Cursor, paste: Implement the "<title>" PR idea from CLAUDE.md, working through the checklist as the task list.

Add comprehensive unit tests for errno error code definitions and handling

The repo advertises 'errno 统一定义错误码' (unified error code definitions) as a core feature, but there's no visible test coverage for error code generation, validation, or HTTP response marshaling. This is critical for API frameworks since error handling is foundational. Tests should verify error codes are unique, messages are properly localized, and error responses conform to the RESTful API spec mentioned in the README.

• [ ] Create tests/errno_test.go to test error code generation and uniqueness validation
• [ ] Add tests for error-to-HTTP status code mapping
• [ ] Verify error response JSON structure matches documented RESTful API standard
• [ ] Test error message localization if supported
• [ ] Add integration tests with actual Gin handlers to verify error response format

Add GitHub Actions CI workflow for Go linting, testing, and Docker build validation

The repo includes a Dockerfile but lacks automated CI checks. Given the go.mod has 1.16+ requirements and the repo emphasizes code quality/constraints, a CI workflow would catch regressions, validate the Docker build works, and ensure code style consistency. This is especially important for a framework meant to guide team development practices.

• [ ] Create .github/workflows/ci.yml with Go 1.16+ matrix testing
• [ ] Add golangci-lint step to enforce code quality (no linter config visible in repo)
• [ ] Include 'go test ./...' with coverage reporting
• [ ] Add Docker build step to validate Dockerfile builds successfully
• [ ] Consider adding gofmt/goimports checks for code style enforcement

Create integration test suite for core middleware components (CORS, JWT, trace, rate limiting)

The repo bundles many middleware features (cors, JWT, prometheus, trace, rate limiting) but testing these in isolation is insufficient—they must work together in a real Gin router. No visible integration tests exist. This would validate that middleware ordering, error handling, and metric collection work correctly together, which is critical for framework stability.

• [ ] Create tests/middleware_integration_test.go with a test Gin engine setup
• [ ] Test CORS headers are applied correctly alongside other middleware
• [ ] Verify trace context propagates through rate limiting and error handling
• [ ] Test that panic recovery middleware works with prometheus metric collection
• [ ] Validate JWT validation doesn't break when combined with other middleware
• [ ] Add benchmark tests to measure middleware overhead in realistic scenarios

• Upgrade Go version and verify: Update go.mod from 1.16 to 1.19+, run go mod tidy, and test on the latest two Go releases. File a compatibility report showing which features break (likely none, but async/test suite needed to verify).
• Add unit test suite for errno package: The errno package (unified error codes) is core but has no visible tests in the file listing. Write parameterized tests covering error code serialization, HTTP status mapping, and message localization (if supported).
• Document Viper config schema: Create config.example.yaml with all required fields (DB creds, JWT secret, Redis addr, Jaeger endpoint, mail SMTP, Prometheus port) and their types, then add a CONFIG.md explaining each section. Currently missing from repo.

• High · Outdated Go Version in Dockerfile — Dockerfile, line 2. The Dockerfile uses golang:1.16-alpine as the base image, which is outdated and no longer receives security updates. Go 1.16 reached end-of-life in September 2021. This exposes the build environment to known vulnerabilities. Fix: Update to a supported Go version (1.21 or later). Change 'FROM golang:1.16-alpine' to 'FROM golang:1.21-alpine' or the latest stable version.
• High · Vulnerable Dependencies - go-redis/v7 — go.mod, line with 'github.com/go-redis/redis/v7'. The project uses github.com/go-redis/redis/v7 which is outdated. The current stable version is v8 or v9. v7 may have unpatched security vulnerabilities and lacks security updates. Fix: Update to github.com/go-redis/redis/v9 (latest stable). Review and test for breaking changes between versions.
• High · Deprecated GORM Version — go.mod, dependencies section. The project uses outdated GORM v1 (github.com/jinzhu/gorm v1.9.16) alongside newer GORM v2 (gorm.io/gorm v1.22.3). GORM v1 is no longer maintained and has known SQL injection vulnerabilities in certain scenarios. Fix: Consolidate on GORM v2 only. Remove 'github.com/jinzhu/gorm' dependency and migrate code to use 'gorm.io/gorm' exclusively.
• High · No Input Validation Framework Visible — Project structure - actual implementation files not provided. While validator/v10 is included, the codebase structure suggests GORM queries may be constructed without proper parameterization. Combined with deprecated GORM v1, this increases SQL injection risk. Fix: Ensure all database queries use parameterized statements/prepared statements. Never concatenate user input into SQL queries. Audit all GORM queries for raw SQL usage.
• High · Exposed pprof Endpoint — Dockerfile and go.mod (github.com/gin-contrib/pprof). The project includes gin-contrib/pprof which enables Go profiling endpoints. If not properly secured, this can expose sensitive runtime information including memory dumps, goroutine traces, and execution profiles. Fix: Restrict pprof endpoints to localhost or authenticated requests only. Implement IP whitelisting or authentication middleware for profiling endpoints.
• Medium · Missing Security Headers Configuration — Gin middleware configuration (not visible in provided files). The Gin framework setup doesn't show explicit security headers (HSTS, CSP, X-Frame-Options, etc.) in the provided structure. This leaves the application vulnerable to clickjacking, XSS, and other header-based attacks. Fix: Add security middleware to set headers: X-Frame-Options: DENY, X-Content-Type-Options: nosniff, Strict-Transport-Security, Content-Security-Policy, X-XSS-Protection.
• Medium · Unencrypted Redis Connection — go-redis/v7 configuration (actual config files not provided). The go-redis/v7 dependency suggests Redis connectivity, but there's no visible configuration for TLS/SSL encryption. Connection details may be exposed if not properly configured. Fix: Ensure Redis connections use TLS encryption. Configure Redis client with proper TLS certificates and disable unencrypted connections.
• Medium · Outdated Alpine Base Image — Dockerfile, line 10. The final Docker image uses 'alpine:latest' which can introduce inconsistent security patches. 'latest' tags are not pinned and may cause unpredictable vulnerabilities. Fix: Pin Alpine to a specific version: 'FROM alpine:3.18' (or latest stable). Regularly rebuild images to receive security updates.
• Medium · Potential Hardcoded Secrets in Configuration — undefined. The project uses viper for configuration parsing. If configuration files (config.yaml, .env) Fix: undefined

LLM-derived; treat as a starting point, not a security audit.

• Open issues — current backlog
• Recent PRs — what's actively shipping
• Source on GitHub

Generated by RepoPilot. Verdict based on maintenance signals — see the live page for receipts. Re-run on a new commit to refresh.