21 Commits

Author SHA1 Message Date
29272b8fba 🔀 merge: integrate origin/main (PR #16 JSON logging fix) into restructure branch
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PR #16 (commit c17fb4f) introduced 2 things while this restructure branch
was in flight:
1. A fix in pkg/config/config.go (peekJSONLogging) so the very first log
   line is JSON when DLC_LOGGING_JSON=true.
2. Its own attempt to shorten AGENTS.md (1296 → 191 lines).

Resolution:
- Code/scripts changes from #16 (config.go, server.go, scripts/*,
  gitea-client.sh) accepted as-is via auto-merge.
- AGENTS.md conflict resolved by keeping our version (130 lines,
  fully externalized to documentation/*.md). Our approach goes further
  in the lazy-loading direction (D-004, 128k context constraint),
  externalizing every detail instead of keeping minimal inline content.

Caught up the missing /api/version endpoint in documentation/API.md
(commit acebea3 just before this merge) so we don't regress on the
new endpoint introduced by #16.

Pre-commit hooks already validated each upstream commit. Re-running
on the merge to confirm.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 00:02:19 +02:00
acebea353b 📝 docs(api): add /api/version endpoint reference
Endpoint introduced in PR #16 (commit c17fb4f) was missing from our
restructured documentation/API.md. Catching up before merging origin/main
into this feature branch.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-03 00:01:43 +02:00
732eee7586 🐛 fix(adr): correct ADR 0018-0019 dates (2024 → 2026) — Tâche 6 Phase D
Friction documentaire identifiée pendant l'audit Phase A : les ADRs
0018 (User Management) et 0019 (PostgreSQL Integration) avaient des
dates 2024-04-XX dans leur header, alors que le projet a démarré
le 2026-04-01 (cf. CHANGELOG.md, première entrée).

C'est un typo. Implementation Date était bien à 2026-04-08 dans les
deux fichiers, ce qui confirme le diagnostic.

Fix :
- adr/0018-user-management-auth-system.md : 2024-04-06 → 2026-04-06
- adr/0019-postgresql-integration.md     : 2024-04-07 → 2026-04-07

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-02 23:28:34 +02:00
88a934dfd2 📝 docs(restructure): rewrite AGENTS.md as short directive (Tâche 6 Phase C)
AGENTS.md passe de 1296 → 130 lignes, sous la cible 200 fixée en
D-004 (lazy loading 128k). Ne contient plus que :
- Project overview (court)
- Tools & technologies (table)
- Project structure (tree)
- Tableau "Detailed Guides" pointant vers documentation/*.md
  (12 entrées, tous liens vérifiés valides)
- Index des ADR-clés avec liens (13 entrées, tous valides)
- AI agent info (court, pointe vers AGENT_USAGE_GUIDE)
- Commit conventions (court, pointe vers .vibe/skills/commit-message/)
- BDD feature structure (court, pointe vers ADR-0008 + BDD_GUIDE)
- Retention policy (gardée intégralement, directive ARCODANGE)
- Support (procédure escalade en 5 étapes)

Section Version Management (ex-928-1076, ~150 lignes) entièrement
SUPPRIMÉE — totalement redondante avec documentation/version-management-
guide.md (cf. analyse Phase A `~/.vibe/plans/task-6-phase-a-results.md`).

Lien cassé ligne 1277 corrigé : `0019-bdd-feature-structure.md`
(inexistant) remplacé par référence à ADR-0008 (bdd-testing) + ADR-0025
(scenario-isolation) qui sont les vraies sources autoritaires.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-02 23:28:24 +02:00
41ee8c56ac 📝 docs(restructure): split AGENTS.md into focused guides (Tâche 6 Phase B)
Création de 9 fichiers neufs pour décharger AGENTS.md (1296 lignes →
~130) en documents lazy-loadables, compatibles avec la limite de
contexte 128k de Mistral Vibe (cf. ARCODANGE migration Phase 1,
Tâche 6 du curriculum).

Sept guides ciblés sous documentation/ :
- HISTORY.md            : phases historiques 1-9 du développement
- CLI.md                : commandes CLI, server lifecycle, config DLC_*
- API.md                : endpoints REST, OpenAPI, Greet v1/v2
- OBSERVABILITY.md      : OpenTelemetry + Jaeger, sampler types, test
- TROUBLESHOOTING.md    : issues connues + pointeurs vers guides spé
- CODE_EXAMPLES.md      : snippets endpoint/logging/context, pointeurs ADR
- ROADMAP.md            : potential features, architectural improvements

Deux fichiers racine :
- CHANGELOG.md          : user-facing, format Keep a Changelog
- AGENT_CHANGELOG.md    : décisions structurantes des agents AI
                          (référencé par AGENTS.md, n'existait pas)

Le contenu est extrait fidèlement d'AGENTS.md sans réinterprétation.
Phase C (réécriture AGENTS.md court) suit dans le commit suivant.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-02 23:28:10 +02:00
c17fb4f9b4 🐛 fix: emit all config-loading logs in correct JSON format from the start (#16)
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## Summary

Closes #15

When `logging.json: true` (or `DLC_LOGGING_JSON=true`), the logger was unconditionally initialised to console/text format at the top of `LoadConfig()`, so early log lines — most visibly **"Config file loaded"** — were always written as human-readable text regardless of configuration.

## Root cause

Classic chicken-and-egg: the format flag lives inside the config that is being loaded. The format-switch block only ran *after* `v.Unmarshal()`, too late for the config-file log.

## Changes

### `pkg/config/config.go`
- Add `peekJSONLogging()`: resolves the JSON flag **before** any log is emitted by (1) checking `DLC_LOGGING_JSON` directly via `os.Getenv`, then (2) doing a minimal throwaway Viper pre-read of the config file for the `logging.json` key. This mirrors Viper's own priority order without parsing the full config twice.
- Apply the resolved format immediately and emit **"Logging configured"** as the very first log line.
- Remove the now-redundant format-switch block that ran after `Unmarshal()`.

### `scripts/start-server.sh`, `test-graceful-shutdown.sh`, `test-opentelemetry.sh`
- Replace hardcoded `PROJECT_DIR` path with a dynamic `SCRIPTS_DIR=$(dirname $(realpath ${BASH_SOURCE[0]}))` derivation so scripts work from any worktree or clone location.

## Test plan
- [x] `go test ./pkg/...` — all pass
- [x] `scripts/test-graceful-shutdown.sh` — all JSON valid, all startup logs present
- [x] Manual smoke test: first line is `{"level":"info",...,"message":"Logging configured"}`, every line is valid JSON

Reviewed-on: #16
Co-authored-by: Gabriel Radureau <arcodange@gmail.com>
Co-committed-by: Gabriel Radureau <arcodange@gmail.com>
2026-04-12 23:28:35 +02:00
73a3af1552 📝 docs: audit and correct all ADR statuses and content
Full pass over all 25 ADRs to align documentation with actual
implementation state. Changes by ADR:

README index: completely rewritten — previous table mapped numbers to
wrong titles from 0010 onward.

0008 (BDD Testing): added note that flat features/ structure and godog
CLI invocation are superseded by ADR-0024; framework decision stands.

0009 (Hybrid Testing): renamed from "Combine BDD and Swagger-based
testing" to "BDD Testing with OpenAPI Documentation"; clarified that
the SDK-testing layer was never built and has no open issue.

0013 (OpenAPI/Swagger): removed leftover merge conflict artifact
(=======) and duplicated 60-line block.

0015 (Cobra CLI): fixed status contradiction — body said "Implemented"
while footer said "Proposed". Now Accepted.

0018 (User Management): status Proposed → Accepted; system is fully
implemented (JWT, bcrypt, GORM repos all present).

0019 (PostgreSQL): status Proposed → Accepted (Partial); added warning
that sqlite_repository.go and gorm/driver/sqlite still present contrary
to ADR intent.

0021 (JWT Retention): fixed wrong cross-reference (previously cited
ADR-0009 "Hybrid Testing" as source of JWT multi-secret support); fixed
title number from "10" to "21"; clarified that base JWT is implemented
but the retention cleanup job is not.

0022 (Rate Limiting/Cache): added warning block linking to open Gitea
issue #13; changed all 20 false  implementation checkboxes to .

0023 (Config Hot Reloading): added note that BDD scenarios exist for
this feature but the feature itself is not yet implemented.

0024 (BDD Organization): status Proposed → Accepted; modular domain
structure is fully built.

0025 (BDD Scenario Isolation): status Proposed → Accepted (Partial);
Phase 1 done, Phase 2 blocked on ADR-0022.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-12 23:26:09 +02:00
8bae62c28e 📝 docs: add two missing ADR files (0011 validation, 0014 gRPC)
ADR 0011 and 0014 were referenced in the README list but their files
were absent from the repository. Reconstruct them from available context:

- 0011: go-playground/validator selection (already implemented in go.mod)
- 0014: gRPC adoption strategy (evaluated and deferred/rejected)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-12 23:25:25 +02:00
5eec64e5e8 🧪 test: add JWT secret rotation BDD scenarios and step implementations (#12)
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 merge: implement JWT secret rotation with BDD scenario isolation

- Implement JWT secret rotation mechanism (closes #8)
- Add per-scenario state isolation for BDD tests (closes #14)
- Validate password reset workflow via BDD tests (closes #7)
- Fix port conflicts in test validation
- Add state tracer for debugging test execution
- Document BDD isolation strategies in ADR 0025
- Fix PostgreSQL configuration environment variables

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Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
Co-authored-by: Gabriel Radureau <arcodange@gmail.com>
Co-committed-by: Gabriel Radureau <arcodange@gmail.com>
2026-04-11 17:56:45 +02:00
5de703468f Merge pull request 'Move Docker push steps to separate job' (#11) from feature/move-docker-job into main
🤖 ci: separate docker push job
closes #10
2026-04-09 13:08:13 +02:00
be0a31a525 🤖 ci: separate docker push job
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2026-04-09 13:03:08 +02:00
b2e5c034c3 📝 docs: update commit-message skill with multi-issue closing best practices
Added critical documentation about using separate 'Closes' lines for PR merge commits:
- Explains why single-line multiple issue references fail
- Provides correct multi-line format examples
- Prevents common issue where only first issue gets closed
- Updates usage examples with proper multi-issue syntax

This fixes the issue we encountered where 'Closes #4, #5, #6' only closed #4.

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2026-04-09 08:24:32 +02:00
77344c8858 Merge pull request 'feature/user-authentication-bdd' (#9) from feature/user-authentication-bdd into main
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 merge: implement user authentication BDD system with JWT and PostgreSQL

Closes #4, #5, #6
Refs #7, #8

## 🎯 Implementation Summary

This merge implements a comprehensive user authentication system with BDD testing:

###  Core Features Implemented
- **User Registration** (#4): Username/password with validation
- **User Login** (#5): JWT-based authentication with bcrypt
- **User Profile Management** (#6): Profile data persistence
- **Admin Authentication**: Master password support
- **Password Reset**: Basic workflow implementation

### 🧪 BDD Testing Infrastructure
- 20+ authentication scenarios with Godog
- JWT validation edge cases
- Password reset workflow tests
- Input validation and error handling

### 🐳 Docker & CI/CD Enhancements
- Multi-stage builds with caching optimization
- Swagger Docs caching with actions/cache@v5
- GNU tar compatibility for Gitea runners
- Template-based Dockerfile generation

### 📚 Documentation & Architecture
- ADR-0018: User Management System
- ADR-0019: BDD Feature Structure
- ADR-0020: Docker Build Strategy
- Comprehensive API documentation

### 🔒 Security Notes
- Basic authentication and JWT features complete
- Admin-only password reset needs additional security (see #7)
- JWT secret rotation documented but not implemented (see #8)

## 📈 Metrics
- +6,976 additions, -1,515 deletions
- 121 files changed
- 9 commits (8 squashed + 1 conflict fix)
- CI/CD workflow verified

## 🔗 Related Issues
- **Closed**: #4, #5, #6
- **Referenced**: #7, #8

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2026-04-09 00:44:56 +02:00
31af8bed07 📝 docs: update existing ADRs with user authentication references
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Updated existing Architecture Decision Records:
- Added user authentication references to ADR-0008 (BDD Testing)
- Updated ADR-0016 (CI/CD Pipeline) with authentication workflow
- Enhanced ADR-0017 (Trunk-based Development) with BDD integration
- Added security considerations to multiple ADRs
- Updated cross-references throughout documentation

Removed deprecated files:
- docker-compose.cicd-test.yml (replaced by docker-compose.yml)

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Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
2026-04-09 00:26:33 +02:00
c1e628f339 📝 docs: update comprehensive documentation and project infrastructure
Documentation Updates:
- Enhanced AGENTS.md with user authentication details
- Updated README.md with authentication API documentation
- Added CONTRIBUTING.md guidelines for BDD testing
- Version management guide improvements
- Local CI/CD testing documentation

Project Infrastructure:
- Updated .gitignore for new file patterns
- Enhanced git hooks documentation
- YAML linting configuration
- Script improvements and organization
- Configuration management updates

API Enhancements:
- Greet service integration with authentication
- Server middleware for JWT validation
- Telemetry improvements
- Version management utilities

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Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
2026-04-09 00:26:15 +02:00
30af706590 🤖 feat: enhance agent skills for BDD testing and CI/CD management
Skill Improvements:
- BDD Testing Skill: Enhanced step templates, debugging guides, and patterns
- Gitea Client Skill: Added wiki management, issue tracking, and workflow monitoring
- Product Owner Assistant: Improved user story workflow and documentation
- Commit Message Skill: Better gitmoji integration and issue referencing
- Changelog Manager: Enhanced change tracking and documentation
- Skill Creator: Improved skill generation templates and validation
- Swagger Documentation: Updated OpenAPI integration guides

Key Features:
- BDD best practices documentation
- Gitea API client with wiki support
- User story implementation workflow
- Git commit message standardization
- Skill development patterns
- OpenAPI/Swagger documentation generation

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Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
2026-04-09 00:26:08 +02:00
10f25c23e0 🤖 feat: enhance CI/CD workflow with Swagger caching and badge automation
CI/CD Improvements:
- Added Swagger Docs caching with actions/cache@v5
- Dependency-based cache invalidation
- GNU tar compatibility for Gitea runners
- Template-based Dockerfile generation
- Automated coverage badge updates
- Version bump automation

Workflow Features:
- Multi-stage build with caching
- BDD and unit test coverage tracking
- Separate badges for BDD vs unit tests
- Cross-platform compatibility
- Automatic badge updates on main branch

Files Modified:
- .gitea/workflows/ci-cd.yaml - Main workflow with caching
- scripts/ci-update-coverage-badge.sh - Badge automation
- scripts/ci-version-bump.sh - Version management
- scripts/update-all-badges.sh - Comprehensive badge updates

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Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
2026-04-09 00:25:59 +02:00
e2adb3bc9f 🐳 feat: implement Docker multi-stage build with caching optimization
Added Docker build infrastructure:
- Multi-stage build (builder, cache, production)
- Dependency hashing for cache invalidation
- GNU tar support for cache compatibility
- Production and development Dockerfiles
- Docker Compose for local development

Build Optimization:
- Dependency-based cache keys
- Layer caching strategy
- Cross-platform compatibility
- Gitea Actions cache integration

Files Added:
- docker/Dockerfile.build - Build environment
- docker/Dockerfile.prod - Production image
- docker/Dockerfile.prod.template - Template-based generation
- docker-compose.yml - Development setup
- scripts/calculate-deps-hash.sh - Cache key calculation
- scripts/test-docker-cache.sh - Cache testing

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Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
2026-04-09 00:25:53 +02:00
a17eebc8f2 🧪 test: add comprehensive BDD test suite for user authentication
Added BDD test scenarios covering:
- User registration with validation
- Successful and failed authentication
- Admin authentication with master password
- JWT token generation and validation
- Password reset workflow
- Edge cases and error handling

BDD Features:
- 20+ authentication scenarios
- JWT validation edge cases
- Password reset security scenarios
- Input validation tests
- Error response verification

BDD Infrastructure:
- Step definitions for authentication workflows
- Test server with user management endpoints
- JWT parsing and validation utilities
- Common step patterns for reuse

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Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
2026-04-09 00:25:48 +02:00
52a4ce4139 feat: implement user authentication system with JWT and PostgreSQL
Added comprehensive user management system:
- User registration with validation (3-50 char username, 6+ char password)
- JWT-based authentication with bcrypt password hashing
- Admin authentication with master password
- Password reset workflow with admin flagging
- PostgreSQL repository implementation
- SQLite repository for testing
- Unified authentication service interface

API Endpoints:
- POST /api/v1/auth/register - User registration
- POST /api/v1/auth/login - User/admin authentication
- POST /api/v1/auth/password-reset/request - Request password reset
- POST /api/v1/auth/password-reset/complete - Complete password reset
- POST /api/v1/auth/validate - JWT token validation

Security Features:
- Password hashing with bcrypt
- JWT token generation and validation
- Admin claims in JWT tokens
- Configurable token expiration
- Input validation for all endpoints

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Co-Authored-By: Mistral Vibe <vibe@mistral.ai>
2026-04-09 00:25:43 +02:00
69e7c44eb2 📝 docs: add comprehensive user management ADR and technical documentation
Added ADR-0018 for User Management and Authentication System with:
- Non-persisted admin user with master password authentication
- JWT-based authentication with bcrypt password hashing
- PostgreSQL database schema and GORM integration
- Admin-assisted password reset workflow
- Comprehensive security considerations

Added ADR-0019 for BDD Feature Structure:
- Epic/User Story organization pattern
- Unified development workflow
- Source of truth hierarchy

Added ADR-0020 for Docker Build Strategy:
- Multi-stage build approach
- Cache optimization strategy
- Production vs development build differences

Added technical documentation:
- Complete user management system specification
- API endpoints and integration details
- Security architecture and best practices

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2026-04-09 00:25:35 +02:00
178 changed files with 17941 additions and 3293 deletions

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.gitea/workflows/README.md Normal file
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# CI/CD Workflow Architecture
## 🗺️ Overview
The dance-lessons-coach project uses a **multi-workflow architecture** for better separation of concerns, maintainability, and flexibility.
## 📁 Workflow Files
### 1. `ci-cd.yaml` - Main CI/CD Pipeline
**Purpose**: Run tests, build binaries, and generate documentation
**Triggers**:
- Push to `main`, `ci/**`, `feature/**`, `fix/**`, `refactor/**` branches
- Pull requests to `main` branch
- Manual workflow dispatch
**Jobs**:
1. **build-cache** - Build and cache Docker build environment
2. **ci-pipeline** - Run tests, build binaries, generate Swagger docs
3. **trigger-docker-push** - Trigger separate Docker workflow on main branch
**Key Features**:
- Runs in container environment with all build tools
- Generates Swagger documentation
- Runs BDD and unit tests with PostgreSQL
- Updates badges and version information
- Triggers Docker workflow only on main branch
### 2. `docker-push.yaml` - Docker Image Publishing
**Purpose**: Build and push Docker images to registry
**Triggers**:
- Manual workflow dispatch only (no automatic triggers)
- Triggered by `ci-cd.yaml` on main branch
**Jobs**:
1. **docker-push** - Build production Docker image and push to registry
**Key Features**:
- Runs on host environment (access to Docker daemon)
- Uses dependency hash from build-cache
- Builds minimal Alpine-based production image
- Pushes multiple tags (version, latest, commit SHA)
## 🔧 Architecture Benefits
### 1. Clear Separation of Concerns
- **CI/CD Pipeline**: Testing and artifact generation
- **Docker Publishing**: Image building and registry operations
### 2. Proper Environment Isolation
- **CI jobs run in container**: Consistent build environment
- **Docker jobs run on host**: Access to Docker daemon
### 3. Flexible Testing
- Can trigger Docker workflow independently for testing
- No complex conditional logic in main workflow
- Easier to debug and maintain
### 4. Better Security
- Docker operations isolated in separate workflow
- Clear dependency between test success and deployment
- Manual trigger capability for emergency situations
## 🚀 Usage Examples
### Trigger Full CI/CD Pipeline
```bash
# Automatically triggered on push to main branch
# Or manually:
./scripts/gitea-client.sh trigger-workflow arcodange dance-lessons-coach ci-cd.yaml main
```
### Trigger Docker Push Manually
```bash
# Get dependency hash from build-cache job first
DEPS_HASH="abc123def456"
# Trigger Docker workflow manually
./scripts/gitea-client.sh trigger-workflow arcodange dance-lessons-coach docker-push.yaml main --deps_hash $DEPS_HASH
```
### Workflow Dispatch Parameters (docker-push.yaml)
- `deps_hash` (required): Dependency hash from build-cache job
- `ref` (optional): Git reference (branch/tag), defaults to current
## 🔗 Workflow Dependencies
```mermaid
graph TD
A[Push to main] --> B[ci-cd.yaml]
B --> C[build-cache job]
B --> D[ci-pipeline job]
D --> E[trigger-docker-push job]
E --> F[docker-push.yaml]
F --> G[docker-push job]
G --> H[Docker Registry]
```
## 📋 Best Practices
### 1. Always Run CI First
- Docker workflow should only be triggered after CI passes
- Maintains quality gate before deployment
### 2. Use Dependency Hash
- Ensures consistent builds across workflows
- Pass hash from build-cache to docker-push
### 3. Manual Testing
- Use separate Docker workflow for testing image builds
- Avoids polluting main branch with test images
### 4. Monitor Both Workflows
- CI/CD workflow for test results and artifacts
- Docker workflow for image build and push status
## 🎯 Docker Build Strategy Decision
### 🏆 Chosen Approach: Attempt 2 (Standard Dockerfile)
After extensive testing of multiple approaches, we selected **Attempt 2** as the optimal Docker build strategy.
#### ⚡ Why Attempt 2 Won:
**1. Simplicity (60% smaller workflow)**
- 73 lines vs 158 lines in complex approaches
- No inline Dockerfile generation
- Standard `docker build -f docker/Dockerfile .` command
**2. Better Performance**
- No artifact/cache action overhead
- Natural Docker layer caching works optimally
- Faster execution without complex variable substitutions
**3. Superior Reliability**
- Proven standard Docker build process
- Easier to debug and maintain
- Fewer moving parts = fewer failures
**4. Better Maintainability**
- Uses standard Dockerfile (easier to understand)
- No complex YAML templating
- Clear separation of concerns
#### 🗑️ Why We Rejected Other Approaches:
**Attempt 1 (Inline Dockerfile):**
- Complex YAML templating
- Harder to debug and maintain
- No significant performance benefit
**Attempt 3 (Build Cache Image):**
- Added complexity with cache management
- Slower due to artifact actions overhead
- More prone to cache invalidation issues
**Attempt 4 (Template File):**
- Added unnecessary file management
- No clear advantage over standard Dockerfile
- More complex workflow
### 📊 Performance Comparison:
| Approach | Lines of Code | Complexity | Reliability | Maintainability |
|----------|---------------|------------|-------------|-----------------|
| **Attempt 2** | 73 | Low | High | Excellent |
| Attempt 1 | 158 | High | Medium | Poor |
| Attempt 3 | 125 | Medium | Medium | Fair |
| Attempt 4 | 110 | Medium | High | Good |
### 🔧 Implementation Details:
**Standard Dockerfile Approach:**
```yaml
- name: Build and push Docker image
run: |
docker build -t dance-lessons-coach -f docker/Dockerfile .
docker tag dance-lessons-coach "$IMAGE_NAME"
docker push "$IMAGE_NAME"
```
**Key Benefits:**
- Uses multi-stage builds for optimization
- Standard Docker layer caching works naturally
- Easy to understand and modify
- Proven reliability in production
## 🎯 Future Enhancements
### Potential Improvements:
- Add workflow status badges to README
- Implement workflow chaining with outputs
- Add matrix builds for multiple architectures
- Implement canary deployment workflow
- Add rollback capability
### Architecture Considerations:
- Keep workflows focused on single responsibilities
- Maintain clear separation between test and deploy
- Document all workflow triggers and conditions
- Monitor workflow execution times and optimize
## 📝 Maintenance
### Adding New Jobs:
- Add to appropriate workflow based on responsibility
- CI-related jobs → `ci-cd.yaml`
- Docker-related jobs → `docker-push.yaml`
### Modifying Triggers:
- Update trigger conditions in respective workflow files
- Test changes thoroughly before merging
### Debugging:
- Check workflow logs in Gitea Actions
- Use `gitea-client.sh diagnose-job` for detailed analysis
- Monitor workflow dependencies and execution order
## 🔒 Security
### Secrets Management:
- Docker registry credentials stored in Gitea secrets
- Never hardcode credentials in workflow files
- Use GitHub token for workflow dispatch
### Access Control:
- Only authorized users can trigger workflows
- Manual approval required for production deployments
- Audit logs available for all workflow executions
This architecture provides a clean, maintainable, and secure CI/CD pipeline that scales well with project growth while maintaining clear separation of concerns.

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@@ -27,6 +27,12 @@ on:
branches:
- main
types: [opened, synchronize, reopened, labeled]
# Only run PR CI if the commit doesn't already have passing branch CI
if: |
github.event_name == 'pull_request' &&
(github.event.action == 'opened' ||
github.event.action == 'synchronize' ||
github.event.action == 'reopened')
paths-ignore:
- 'README.md'
- 'doc/**'
@@ -51,35 +57,191 @@ env:
CI_REGISTRY: "gitea.arcodange.lab"
jobs:
ci-pipeline:
name: CI Pipeline
runs-on: ubuntu-latest
build-cache:
name: Build Docker Cache
runs-on: ubuntu-latest-ca
if: "!contains(github.event.head_commit.message, '[skip ci]') && github.actor != 'ci-bot'"
outputs:
deps_hash: ${{ steps.calculate_hash.outputs.deps_hash }}
cache_hit: ${{ steps.check_cache.outputs.cache_hit }}
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Go
uses: actions/setup-go@v4
- name: Calculate dependency hash
id: calculate_hash
run: |
# Calculate hash of go.mod + go.sum + Dockerfile.build (inline, no script needed)
DEPS_HASH=$(sha256sum go.mod go.sum docker/Dockerfile.build | sha256sum | cut -d' ' -f1 | head -c 12)
echo "Dependency hash: $DEPS_HASH"
echo "deps_hash=$DEPS_HASH" >> $GITHUB_OUTPUT
- name: Check for existing cache (optimized with fallback)
id: check_cache
run: |
# Check if image exists in registry using optimized approach with fallback
IMAGE_NAME="${{ env.CI_REGISTRY }}/${{ env.GITEA_ORG }}/${{ env.GITEA_REPO }}-build-cache:${{ steps.calculate_hash.outputs.deps_hash }}"
# Fast check using docker manifest inspect (lighter than pull)
echo "🔍 Checking cache: $IMAGE_NAME"
# Try manifest inspect first (fastest method, but experimental)
if docker manifest inspect "$IMAGE_NAME" >/dev/null 2>&1; then
echo "✅ Cache hit - using existing build cache (manifest inspect)"
echo "cache_hit=true" >> $GITHUB_OUTPUT
else
# Fallback to docker pull if manifest inspect fails (more reliable)
echo "⚠️ Manifest inspect failed, falling back to docker pull..."
if docker pull "$IMAGE_NAME" >/dev/null 2>&1; then
echo "✅ Cache hit - using existing build cache (fallback: docker pull)"
echo "cache_hit=true" >> $GITHUB_OUTPUT
else
echo "⚠️ Cache miss - will build new cache image"
echo "cache_hit=false" >> $GITHUB_OUTPUT
fi
fi
- name: Login to Gitea Container Registry
if: steps.check_cache.outputs.cache_hit == 'false'
uses: docker/login-action@v3
with:
go-version: '1.26.1'
cache: true
registry: ${{ env.CI_REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.PACKAGES_TOKEN }}
- name: Install dependencies
run: go mod tidy
# SINGLE swag installation - reused for all steps
- name: Install swag (once)
run: go install github.com/swaggo/swag/cmd/swag@latest
- name: Build and push Docker cache image
if: steps.check_cache.outputs.cache_hit == 'false'
run: |
IMAGE_NAME="${{ env.CI_REGISTRY }}/${{ env.GITEA_ORG }}/${{ env.GITEA_REPO }}-build-cache:${{ steps.calculate_hash.outputs.deps_hash }}"
echo "Building cache image: $IMAGE_NAME"
# Build the image using traditional docker build
docker build \
--file docker/Dockerfile.build \
--tag "$IMAGE_NAME" \
.
# Push the image
docker push "$IMAGE_NAME"
echo "✅ Build cache image pushed successfully"
ci-pipeline:
name: CI Pipeline
needs: build-cache
runs-on: ubuntu-latest-ca
# Skip conditions: standard skip ci + actor check + respect skip_ci input
if: "!contains(github.event.head_commit.message, '[skip ci]') && github.actor != 'ci-bot' && (!github.event.inputs.skip_ci || github.event.inputs.skip_ci == 'false')"
container:
image: ${{ env.CI_REGISTRY }}/${{ env.GITEA_ORG }}/${{ env.GITEA_REPO }}-build-cache:${{ needs.build-cache.outputs.deps_hash }}
services:
postgres:
image: postgres:15
env:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: dance_lessons_coach_bdd_test
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set database environment variables
run: |
echo "DLC_DATABASE_HOST=postgres" >> $GITHUB_ENV
echo "DLC_DATABASE_PORT=5432" >> $GITHUB_ENV
echo "DLC_DATABASE_USER=$POSTGRES_USER" >> $GITHUB_ENV
echo "DLC_DATABASE_PASSWORD=$POSTGRES_PASSWORD" >> $GITHUB_ENV
echo "DLC_DATABASE_NAME=$POSTGRES_DB" >> $GITHUB_ENV
echo "DLC_DATABASE_SSL_MODE=disable" >> $GITHUB_ENV
- name: Restore Swagger Docs Cache
id: cache-swagger-restore
uses: actions/cache/restore@v5
with:
path: |
pkg/server/docs/docs.go
pkg/server/docs/swagger.json
pkg/server/docs/swagger.yaml
key: swagger-docs-${{ hashFiles('cmd/server/main.go', 'pkg/greet/*.go', 'pkg/server/*.go', 'go.mod') }}
restore-keys: |
swagger-docs-
- name: Generate Swagger Docs
run: cd pkg/server && go generate
if: steps.cache-swagger-restore.outputs.cache-hit != 'true'
run: go generate ./pkg/server
- name: Save Swagger Docs Cache
if: steps.cache-swagger-restore.outputs.cache-hit != 'true'
id: cache-swagger-save
uses: actions/cache/save@v5
with:
path: |
pkg/server/docs/docs.go
pkg/server/docs/swagger.json
pkg/server/docs/swagger.yaml
key: ${{ steps.cache-swagger-restore.outputs.cache-primary-key }}
- name: Build all packages
run: go build ./...
- name: Run tests with coverage
run: go test ./... -cover -v
- name: Wait for PostgreSQL to be ready
run: |
echo "Waiting for PostgreSQL to be ready..."
for i in {1..30}; do
if pg_isready -h postgres -p 5432 -U postgres -d dance_lessons_coach_bdd_test; then
echo "✅ PostgreSQL is ready!"
break
fi
echo "Waiting for PostgreSQL... ($i/30)"
sleep 2
done
# Verify PostgreSQL is accessible
if ! pg_isready -h postgres -p 5432 -U postgres -d dance_lessons_coach_bdd_test; then
echo "❌ PostgreSQL failed to start"
exit 1
fi
- name: Run BDD tests with strict validation and coverage
run: |
echo "Running BDD tests with strict validation and coverage..."
# Use the run-bdd-tests.sh script which fails on undefined/pending steps
# In CI environment, PostgreSQL is already running as a service
export DLC_DATABASE_HOST=postgres
export DLC_DATABASE_PORT=5432
export DLC_DATABASE_USER=postgres
export DLC_DATABASE_PASSWORD=postgres
export DLC_DATABASE_NAME=dance_lessons_coach_bdd_test
export DLC_DATABASE_SSL_MODE=disable
./scripts/run-bdd-tests.sh
# Generate BDD coverage report
go tool cover -func=coverage.out > bdd_coverage.txt
# Extract BDD coverage percentage and set as environment variable
BDD_COVERAGE=$(grep "total:" bdd_coverage.txt | grep -oP '\d+\.\d+' | head -1)
echo "BDD Coverage: ${BDD_COVERAGE}%"
echo "DLC_BDD_COVERAGE=${BDD_COVERAGE}%" >> $GITHUB_ENV
- name: Run unit tests with coverage
run: |
echo "Running unit tests with PostgreSQL service..."
# Run unit tests excluding BDD tests (already run above)
go test ./pkg/... ./cmd/... -coverprofile=unit_coverage.out -v
# Generate unit coverage report
go tool cover -func=unit_coverage.out > unit_coverage.txt
# Extract unit test coverage percentage and set as environment variable
UNIT_COVERAGE=$(grep "total:" unit_coverage.txt | grep -oP '\d+\.\d+' | head -1)
echo "Unit Coverage: ${UNIT_COVERAGE}%"
echo "DLC_UNIT_COVERAGE=${UNIT_COVERAGE}%" >> $GITHUB_ENV
- name: Run go fmt
run: go fmt ./...
@@ -99,80 +261,67 @@ jobs:
# path: pkg/server/docs/swagger.json
# retention-days: 1
# Version management and Docker build (main branch only)
- name: Version management and Docker build
if: github.ref == 'refs/heads/main'
# Badge and version updates - multiple commits, single push
# All documentation updates happen in one step with single push at the end
- name: Update badges and version (multiple commits, single push)
if: always() && github.actor != 'ci-bot'
run: |
# Analyze last commit message
LAST_COMMIT=$(git log -1 --pretty=%B | head -1)
VERSION_BUMPED="false"
echo "🎯 Updating badges and version..."
echo "BDD Coverage: ${DLC_BDD_COVERAGE:-Not set}"
echo "Unit Coverage: ${DLC_UNIT_COVERAGE:-Not set}"
# Automatic version bump based on commit type
if echo "$LAST_COMMIT" | grep -q "^✨ feat:"; then
echo "🎯 Feature commit detected - bumping MINOR version"
./scripts/version-bump.sh minor
VERSION_BUMPED="true"
elif echo "$LAST_COMMIT" | grep -q "^🐛 fix:"; then
echo "🐛 Fix commit detected - bumping PATCH version"
./scripts/version-bump.sh patch
VERSION_BUMPED="true"
elif echo "$LAST_COMMIT" | grep -q "BREAKING CHANGE"; then
echo "💥 Breaking change detected - bumping MAJOR version"
./scripts/version-bump.sh major
VERSION_BUMPED="true"
else
echo "⏭️ No automatic version bump needed"
# Configure git
git config user.name "CI Bot"
git config user.email "ci@arcodange.fr"
# Extract coverage values (remove % sign)
BDD_COV=${DLC_BDD_COVERAGE%"%"}
UNIT_COV=${DLC_UNIT_COVERAGE%"%"}
# Update BDD coverage badge if value is set (use --no-push to avoid race conditions)
if [ -n "$BDD_COV" ]; then
echo "📊 Updating BDD coverage badge to ${BDD_COV}%"
./scripts/ci-update-coverage-badge.sh "$BDD_COV" "bdd" --no-push
fi
# Update swagger version regardless of bump
source VERSION
NEW_VERSION="$MAJOR.$MINOR.$PATCH${PRERELEASE:+-$PRERELEASE}"
sed -i "s|// @version [0-9.]*|// @version $NEW_VERSION|" cmd/server/main.go
# Update Unit coverage badge if value is set (use --no-push to avoid race conditions)
if [ -n "$UNIT_COV" ]; then
echo "📊 Updating Unit coverage badge to ${UNIT_COV}%"
./scripts/ci-update-coverage-badge.sh "$UNIT_COV" "unit" --no-push
fi
# Commit version changes if bumped
if [ "$VERSION_BUMPED" = "true" ]; then
git config --global user.name "CI Bot"
git config --global user.email "ci@arcodange.fr"
git add VERSION cmd/server/main.go README.md
git commit -m "chore: auto version bump [skip ci]" || echo "No changes to commit"
# Check for version bump on main branch
if [ "${{ github.ref }}" = "refs/heads/main" ]; then
echo "🔖 Checking for version bump..."
./scripts/ci-version-bump.sh "${{ github.event.head_commit.message }}" --no-push
fi
# Single push for all commits (this is the ONLY push in the entire workflow)
if [ -n "$(git status --porcelain)" ]; then
echo "💾 Changes detected, pushing all commits..."
git push
echo "🎉 Successfully pushed all updates"
else
echo " No changes to push"
fi
- name: Login to Gitea Container Registry
if: github.ref == 'refs/heads/main'
uses: docker/login-action@v3
with:
registry: ${{ env.CI_REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.PACKAGES_TOKEN }}
- name: Set up Docker Buildx
if: github.ref == 'refs/heads/main'
uses: docker/setup-buildx-action@v3
- name: Build and push Docker image
if: github.ref == 'refs/heads/main'
# Trigger Docker push workflow on main branch
trigger-docker-push:
name: Trigger Docker Push
needs: [build-cache, ci-pipeline]
runs-on: ubuntu-latest-ca
if: "!contains(github.event.head_commit.message, '[skip ci]') && github.actor != 'ci-bot' && github.ref == 'refs/heads/main'"
steps:
- name: Trigger Docker Push Workflow
run: |
source VERSION
IMAGE_VERSION="$MAJOR.$MINOR.$PATCH${PRERELEASE:+-$PRERELEASE}"
TAGS="$IMAGE_VERSION latest ${{ github.sha }}"
echo "Building Docker image with tags: $TAGS"
docker build -t dance-lessons-coach .
for TAG in $TAGS; do
IMAGE_NAME="${{ env.CI_REGISTRY }}/${{ env.GITEA_ORG }}/${{ env.GITEA_REPO }}:$TAG"
echo "Tagging and pushing: $IMAGE_NAME"
docker tag dance-lessons-coach "$IMAGE_NAME"
docker push "$IMAGE_NAME"
done
- name: Show published images
if: github.ref == 'refs/heads/main'
run: |
source VERSION
IMAGE_VERSION="$MAJOR.$MINOR.$PATCH${PRERELEASE:+-$PRERELEASE}"
echo "📦 Published Docker images:"
echo " - ${{ env.CI_REGISTRY }}/${{ env.GITEA_ORG }}/${{ env.GITEA_REPO }}:$IMAGE_VERSION"
echo " - ${{ env.CI_REGISTRY }}/${{ env.GITEA_ORG }}/${{ env.GITEA_REPO }}:latest"
echo " - ${{ env.CI_REGISTRY }}/${{ env.GITEA_ORG }}/${{ env.GITEA_REPO }}:${{ github.sha }}"
echo "🚀 Triggering Docker Push workflow..."
curl -X POST \
-H "Authorization: token ${{ secrets.GITEA_TOKEN || secrets.PACKAGES_TOKEN }}" \
-H "Content-Type: application/json" \
"${{ env.GITEA_INTERNAL }}api/v1/repos/${{ env.GITEA_ORG }}/${{ env.GITEA_REPO }}/actions/workflows/docker-push.yaml/dispatches" \
-d '{"ref":"${{ github.ref }}"}'
echo "✅ Docker Push workflow triggered successfully!"

View File

@@ -0,0 +1,73 @@
---
# dance-lessons-coach Docker Push Workflow
# Separate workflow for Docker image building and pushing
# Can be triggered manually or by CI/CD workflow
name: Docker Push
on:
# Manual trigger for testing or production
workflow_dispatch:
inputs:
ref:
description: 'Git reference (branch/tag)'
required: false
type: string
default: ''
# Environment variables
env:
GITEA_INTERNAL: "https://gitea.arcodange.lab/"
GITEA_EXTERNAL: "https://gitea.arcodange.fr/"
GITEA_ORG: "arcodange"
GITEA_REPO: "dance-lessons-coach"
CI_REGISTRY: "gitea.arcodange.lab"
jobs:
docker-push:
name: Docker Push
runs-on: ubuntu-latest-ca
steps:
- name: Checkout code
uses: actions/checkout@v4
with:
ref: ${{ github.event.inputs.ref || github.ref }}
- name: Login to Gitea Container Registry
uses: docker/login-action@v3
with:
registry: ${{ env.CI_REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.PACKAGES_TOKEN }}
- name: Build and push Docker image
run: |
source VERSION
IMAGE_VERSION="$MAJOR.$MINOR.$PATCH${PRERELEASE:+-$PRERELEASE}"
TAGS="$IMAGE_VERSION latest ${{ github.sha }}"
echo "Building Docker image with tags: $TAGS"
# Build using the standard Dockerfile (Attempt 2 - simplest approach)
docker build -t dance-lessons-coach -f docker/Dockerfile .
for TAG in $TAGS; do
IMAGE_NAME="${{ env.CI_REGISTRY }}/${{ env.GITEA_ORG }}/${{ env.GITEA_REPO }}:$TAG"
echo "Tagging and pushing: $IMAGE_NAME"
docker tag dance-lessons-coach "$IMAGE_NAME"
docker push "$IMAGE_NAME"
done
- name: Show published images
run: |
source VERSION
IMAGE_VERSION="$MAJOR.$MINOR.$PATCH${PRERELEASE:+-$PRERELEASE}"
echo "📦 Published Docker images:"
echo " - ${{ env.CI_REGISTRY }}/${{ env.GITEA_ORG }}/${{ env.GITEA_REPO }}:$IMAGE_VERSION"
echo " - ${{ env.CI_REGISTRY }}/${{ env.GITEA_ORG }}/${{ env.GITEA_REPO }}:latest"
echo " - ${{ env.CI_REGISTRY }}/${{ env.GITEA_ORG }}/${{ env.GITEA_REPO }}:${{ github.sha }}"

View File

@@ -1,6 +1,6 @@
# Git Hooks for DanceLessonsCoach
# Git Hooks for dance-lessons-coach
This directory contains Git hooks for the DanceLessonsCoach project.
This directory contains Git hooks for the dance-lessons-coach project.
## Available Hooks

8
.gitignore vendored
View File

@@ -23,6 +23,14 @@ server.pid
*.log
pkg/server/docs/
# BDD test files
features/**/*-config.yaml
test-config.yaml
test-v2-config.yaml
# CI/CD runner configuration
config/runner
.runner
coverage.txt
trigger.txt
test_trigger.txt

View File

@@ -1,16 +1,16 @@
---
name: bdd-testing
description: Behavior-Driven Development testing for DanceLessonsCoach using Godog. Use when creating or running BDD tests, implementing new features with BDD, or validating API endpoints through Gherkin scenarios.
description: Behavior-Driven Development testing for dance-lessons-coach using Godog. Use when creating or running BDD tests, implementing new features with BDD, or validating API endpoints through Gherkin scenarios.
license: MIT
metadata:
author: DanceLessonsCoach Team
author: dance-lessons-coach Team
version: "1.0.0"
based-on: pkg/bdd implementation
---
# BDD Testing for DanceLessonsCoach
# BDD Testing for dance-lessons-coach
Behavior-Driven Development testing framework using Godog for the DanceLessonsCoach project. This skill provides comprehensive guidance for creating, running, and maintaining BDD tests that validate API endpoints and system behavior.
Behavior-Driven Development testing framework using Godog for the dance-lessons-coach project. This skill provides comprehensive guidance for creating, running, and maintaining BDD tests that validate API endpoints and system behavior.
## Key Concepts

View File

@@ -2,7 +2,7 @@
## What Was Created
A comprehensive `bdd_testing` skill that encapsulates all our BDD testing knowledge and experience from the DanceLessonsCoach project.
A comprehensive `bdd_testing` skill that encapsulates all our BDD testing knowledge and experience from the dance-lessons-coach project.
## Directory Structure
@@ -268,7 +268,7 @@ The skill has been validated:
## Conclusion
This `bdd_testing` skill represents the culmination of our BDD testing journey for DanceLessonsCoach. It captures:
This `bdd_testing` skill represents the culmination of our BDD testing journey for dance-lessons-coach. It captures:
1. **All our hard-won knowledge** about Godog and BDD testing
2. **Proven patterns** that work reliably
@@ -283,7 +283,7 @@ The skill ensures that:
- **Knowledge** is preserved and shared
- **Debugging** is systematic and efficient
With this skill, the DanceLessonsCoach project has a robust, well-documented BDD testing framework that can scale with the project and support team growth.
With this skill, the dance-lessons-coach project has a robust, well-documented BDD testing framework that can scale with the project and support team growth.
**Next Steps:**
1. Use this skill for all new BDD feature development

View File

@@ -2,7 +2,7 @@
package steps
import (
"DanceLessonsCoach/pkg/bdd/testserver"
"dance-lessons-coach/pkg/bdd/testserver"
"fmt"
"strings"

View File

@@ -1,4 +1,4 @@
# BDD Best Practices for DanceLessonsCoach
# BDD Best Practices for dance-lessons-coach
Based on our implementation experience with Godog and the existing `pkg/bdd` codebase.

View File

@@ -1,6 +1,6 @@
# BDD Testing Debugging Guide
Comprehensive guide to debugging BDD tests for DanceLessonsCoach.
Comprehensive guide to debugging BDD tests for dance-lessons-coach.
## Common Issues and Solutions
@@ -15,7 +15,12 @@ Feature: Greet Service
Then the response should be "..." # ??? UNDEFINED STEP
```
**Root Cause:** Step patterns don't match Godog's exact expectations.
**Root Cause:** Step patterns don't match Godog's exact expectations. Godog is very particular about regex escaping.
**Common Pattern Issues:**
- `\"` vs `\\"` (single vs double escaping)
- Exact quote handling in JSON patterns
- Parameter capture group syntax
**Debugging Steps:**
@@ -28,25 +33,30 @@ Feature: Greet Service
```
You can implement step definitions for the undefined steps with these snippets:
func theServerIsRunning() error {
func theResponseShouldBe(arg1, arg2 string) error {
return godog.ErrPending
}
func iRequestTheDefaultGreeting() error {
return godog.ErrPending
func InitializeScenario(ctx *godog.ScenarioContext) {
ctx.Step(`^the response should be "{\\"([^"]*)\\":\\"([^"]*)\\"}"$`, theResponseShouldBe)
}
```
3. **Compare with your implementation:**
```go
// ❌ Wrong pattern
ctx.Step(`^the server is running$`, sc.theServerIsRunning)
// ❌ Wrong pattern (single escaping)
ctx.Step(`^the response should be "{\"([^"]*)\":\"([^"]*)\"}"$`, sc.commonSteps.theResponseShouldBe)
// ✅ Correct pattern (matches Godog's suggestion)
ctx.Step(`^the server is running$`, sc.theServerIsRunning)
// ✅ Correct pattern (double escaping - matches Godog's suggestion)
ctx.Step(`^the response should be "{\\"([^"]*)\\":\\"([^"]*)\\"}"$`, sc.commonSteps.theResponseShouldBe)
```
**Solution:** Use Godog's EXACT regex patterns.
**Key Insight:** Godog expects `\\"` (four backslashes + quote) for escaped quotes in JSON patterns, not `\"` (two backslashes + quote).
**Solution:** Use Godog's EXACT regex patterns, paying special attention to:
- JSON escaping: `\\"` not `\"`
- Parameter names: Use `arg1, arg2` as suggested
- Capture groups: Match Godog's exact regex syntax
### 2. JSON Comparison Failures

View File

@@ -87,4 +87,10 @@ Godog's step matching is **very specific by design**:
- It provides exact patterns to ensure consistency
- Following its suggestions guarantees your steps will be recognized
**Remember**: The "undefined" warnings are Godog telling you exactly how to fix your step definitions!
**Remember**: The "undefined" warnings are Godog telling you exactly how to fix your step definitions!
## Critical Pattern Fix
**File:** `pkg/bdd/steps/steps.go`
**Line:** 80
**Issue:** Step pattern must use double escaping (4 backslashes + quote) not single escaping (2 backslashes + quote)
**Pattern:** `^the response should be "{\\"([^"]*)\\":\\"([^"]*)\\"}"$`

View File

@@ -345,13 +345,16 @@ resp, err := testClient.Do(req)
// pkg/bdd/bdd_test.go
func TestBDD(t *testing.T) {
suite := godog.TestSuite{
Name: "DanceLessonsCoach BDD Tests",
Name: "dance-lessons-coach BDD Tests",
TestSuiteInitializer: bdd.InitializeTestSuite,
ScenarioInitializer: bdd.InitializeScenario,
Options: &godog.Options{
Format: "progress",
Paths: []string{"."},
TestingT: t,
TestingT: t,
Strict: true,
Randomize: -1,
StopOnFailure: true,
// Enable parallel execution
Concurrency: 4, // Number of parallel scenarios
},

View File

@@ -5,7 +5,7 @@
set -e
echo "🧪 Running BDD tests for DanceLessonsCoach..."
echo "🧪 Running BDD tests for dance-lessons-coach..."
echo "============================================"
# Run tests with verbose output

View File

@@ -3,7 +3,7 @@ name: changelog-manager
description: A skill to help agents properly maintain and utilize AGENT_CHANGELOG.md for tracking contributions and decisions
license: MIT
metadata:
author: DanceLessonsCoach Team
author: dance-lessons-coach Team
version: "1.0.0"
role: Documentation Assistant
purpose: Maintain consistent, useful changelog entries

View File

@@ -3,7 +3,7 @@ name: commit-message
description: Helps create proper Gitmoji commit messages following the Common Gitmoji Reference from AGENTS.md. Use when creating commits to ensure consistent, visual commit messages. Includes Git hooks for automatic code formatting and dependency management.
license: MIT
metadata:
author: DanceLessonsCoach Team
author: dance-lessons-coach Team
version: "1.1.0"
based-on: AGENTS.md Common Gitmoji Reference
---
@@ -52,7 +52,7 @@ git commit -m "✨ feat: implement BDD testing framework"
### Issue References
```bash
# When closing an issue
# When closing a single issue
git commit -m "✨ feat: implement workflow optimization (closes #2)"
# When fixing a bug
@@ -63,6 +63,14 @@ git commit -m "📝 docs: update workflow documentation (related to #2)"
# When referencing for context
git commit -m "♻️ refactor: clean up CI code (see #3)"
# For PR merges closing multiple issues (USE SEPARATE LINES!)
git commit -m "✨ merge: implement authentication system
Closes #4
Closes #5
Closes #6
Refs #7, #8"
```
### Bug Fix
@@ -115,7 +123,7 @@ The suggestions are just helpful reminders, never requirements.
🔍 Checking for relevant issues...
📋 Found 1 open issue(s):
#2: Optimize Gitea Workflow for Main Branch
https://gitea.arcodange.lab/arcodange/DanceLessonsCoach/issues/2
https://gitea.arcodange.lab/arcodange/dance-lessons-coach/issues/2
💡 Suggested commit message formats:
- closes #<number> (when issue is fully resolved)
@@ -139,6 +147,29 @@ Example: ✨ feat: implement workflow (closes #2)
**GitHub/Gitea Compatible:**
These formats are recognized by both GitHub and Gitea to automatically close issues.
### ⚠️ IMPORTANT: Multiple Issue Closing
**For PR merge commits that close multiple issues, use SEPARATE lines:**
```markdown
✨ merge: implement authentication system
Closes #4
Closes #5 ← Use separate lines!
Closes #6 ← This ensures ALL issues are closed
Refs #7, #8
```
**❌ Avoid this (only closes first issue):**
```markdown
✨ merge: implement authentication system
Closes #4, #5, #6 ← Only #4 gets closed!
Refs #7, #8
```
**Why this matters:** GitHub/Gitea issue trackers typically only process the FIRST issue reference when multiple issues are listed on the same line. Using separate lines ensures ALL referenced issues are properly closed.
## Git Hooks for Code Quality
The project includes Git hooks that automatically run before commits to ensure code quality:
@@ -254,7 +285,7 @@ echo "$commit_message" | grep -E "^[🎨✨🐛📝🔧♻️🚀🔒📦🔥
```bash
#!/bin/sh
# DanceLessonsCoach pre-commit hook
# dance-lessons-coach pre-commit hook
# Runs go mod tidy and go fmt before allowing commits
echo "Running pre-commit hooks..."

View File

@@ -1,6 +1,6 @@
# Git Hooks for DanceLessonsCoach
# Git Hooks for dance-lessons-coach
This directory contains Git hooks for the DanceLessonsCoach project.
This directory contains Git hooks for the dance-lessons-coach project.
## Available Hooks

View File

@@ -1,6 +1,6 @@
#!/bin/sh
# DanceLessonsCoach pre-commit hook
# dance-lessons-coach pre-commit hook
# Runs go mod tidy, go fmt, and suggests issue references before allowing commits
echo "Running pre-commit hooks..."

View File

@@ -25,7 +25,7 @@ fi
echo "🔍 Checking for relevant issues..."
# Get list of open issues
ISSUES_JSON=$($GITEA_CLIENT list-issues arcodange DanceLessonsCoach open 2>/dev/null || echo "[]")
ISSUES_JSON=$($GITEA_CLIENT list-issues arcodange dance-lessons-coach open 2>/dev/null || echo "[]")
# Check if we got valid JSON
if [ "$ISSUES_JSON" = "[]" ] || [ -z "$ISSUES_JSON" ]; then

View File

@@ -12,6 +12,9 @@ The Gitea-Client skill provides comprehensive API access to Gitea repositories,
**Commands:**
```bash
# List available workflows
gitea-client list-workflows <owner> <repo>
# List recent workflow jobs
gitea-client list-jobs <owner> <repo> <workflow_id> [limit]
@@ -26,23 +29,68 @@ gitea-client list-workflow-jobs <owner> <repo> <workflow_run_id>
# Wait for job completion
gitea-client wait-job <owner> <repo> <job_id> [timeout]
# Monitor workflow run until completion (with automatic updates)
gitea-client monitor-workflow <owner> <repo> <workflow_run_id> [interval_seconds]
# Diagnose failed job with automatic error analysis
gitea-client diagnose-job <owner> <repo> <job_id>
# Get summary of recent workflow runs
gitea-client recent-workflows <owner> <repo> [limit] [status_filter]
```
**Example Workflow:**
```bash
# 1. Find recent failed jobs
gitea-client list-jobs arcodange dance-lessons-coach 5 10
# 1. Get summary of recent workflows
gitea-client recent-workflows arcodange dance-lessons-coach 5
# 2. Check status of specific job
# 2. Monitor a specific workflow run until completion
gitea-client monitor-workflow arcodange dance-lessons-coach 415 30
# 3. Diagnose a failed job automatically
gitea-client diagnose-job arcodange dance-lessons-coach 759
# 4. List available workflows to get workflow IDs
gitea-client list-workflows arcodange dance-lessons-coach
# 5. Check status of specific job
gitea-client job-status arcodange dance-lessons-coach 706
# 3. Fetch logs for debugging
# 6. Fetch logs for debugging
gitea-client job-logs arcodange dance-lessons-coach 706 job_706_logs.txt
# 4. Analyze logs
# 7. Analyze logs manually
grep -i "error\|fail" job_706_logs.txt
```
**Advanced Monitoring Example:**
```bash
# Monitor workflow and automatically diagnose if it fails
WORKFLOW_ID=415
TIMEOUT=300
SECONDS_ELAPSED=0
while [ $SECONDS_ELAPSED -lt $TIMEOUT ]; do
STATUS=$(gitea-client job-status arcodange dance-lessons-coach $WORKFLOW_ID | jq -r '.status')
CONCLUSION=$(gitea-client job-status arcodange dance-lessons-coach $WORKFLOW_ID | jq -r '.conclusion')
echo "[$(date)] Status: $STATUS, Conclusion: ${CONCLUSION:-not completed}"
if [[ "$CONCLUSION" == "failure" ]]; then
echo "Job failed! Running diagnosis..."
gitea-client diagnose-job arcodange dance-lessons-coach $WORKFLOW_ID
break
elif [[ "$STATUS" != "in_progress" && "$STATUS" != "waiting" ]]; then
echo "Job completed with status: $STATUS"
break
fi
sleep 30
SECONDS_ELAPSED=$((SECONDS_ELAPSED + 30))
done
```
### 2. Pull Request Management
**Scenario:** Monitor and comment on PRs during CI/CD
@@ -404,4 +452,79 @@ curl -s https://gitea.arcodange.lab/swagger.v1.json | \
- **GitHub Actions**: https://docs.github.com/en/actions
- **JQ Tutorial**: https://stedolan.github.io/jq/manual/
This reference guide provides comprehensive examples for using the gitea-client skill in real-world scenarios, covering job monitoring, PR management, issue tracking, and API discovery with practical, copy-paste-ready examples.
This reference guide provides comprehensive examples for using the gitea-client skill in real-world scenarios, covering job monitoring, PR management, issue tracking, and API discovery with practical, copy-paste-ready examples.
## 🎯 Real-World Use Cases from dance-lessons-coach
### CI/CD Pipeline Debugging
**Scenario**: TLS certificate verification failures were blocking all CI/CD progress.
**Solution**: Replaced Docker Buildx with traditional docker build + push.
```bash
# Before (Failed)
# ERROR: failed to build: failed to solve: failed to push
# tls: failed to verify certificate: x509: certificate signed by unknown authority
# After (Working)
gitea-client diagnose-job arcodange dance-lessons-coach 766
# Result: Building cache image: gitea.arcodange.lab/... (no TLS errors)
# Monitor the fix
gitea-client monitor-workflow arcodange dance-lessons-coach 418 30
```
### Automated CI Monitoring
```bash
# Monitor workflow and auto-diagnose failures
WORKFLOW_ID=418
TIMEOUT=300
SECONDS_ELAPSED=0
while [ $SECONDS_ELAPSED -lt $TIMEOUT ]; do
STATUS=$(gitea-client job-status arcodange dance-lessons-coach $WORKFLOW_ID | jq -r '.status')
CONCLUSION=$(gitea-client job-status arcodange dance-lessons-coach $WORKFLOW_ID | jq -r '.conclusion')
echo "[$(date)] Status: $STATUS, Conclusion: ${CONCLUSION:-not completed}"
if [[ "$CONCLUSION" == "failure" ]]; then
echo "❌ Workflow failed! Running diagnosis..."
gitea-client diagnose-job arcodange dance-lessons-coach $WORKFLOW_ID
break
elif [[ "$STATUS" != "in_progress" && "$STATUS" != "waiting" ]]; then
echo "✅ Workflow completed: $STATUS"
break
fi
sleep 30
SECONDS_ELAPSED=$((SECONDS_ELAPSED + 30))
done
```
### PR Management Automation
```bash
# Automated PR triage based on CI results
OPEN_PRS=$(gitea-client list-prs arcodange dance-lessons-coach | jq -r '.[] | select(.state == "open") | .number')
for pr in $OPEN_PRS; do
PR_DETAILS=$(gitea-client pr-status arcodange dance-lessons-coach $pr)
BRANCH=$(echo "$PR_DETAILS" | jq -r '.head.ref')
# Find related workflows
WORKFLOWS=$(gitea-client recent-workflows arcodange dance-lessons-coach 5 | grep "$BRANCH" || echo "")
if [ -n "$WORKFLOWS" ]; then
LATEST_WORKFLOW=$(echo "$WORKFLOWS" | head -1 | cut -d':' -f1)
CONCLUSION=$(gitea-client job-status arcodange dance-lessons-coach $LATEST_WORKFLOW | jq -r '.conclusion')
if [ "$CONCLUSION" = "failure" ]; then
gitea-client comment-pr arcodange dance-lessons-coach $pr "⚠️ CI Failed - Check workflow $LATEST_WORKFLOW"
elif [ "$CONCLUSION" = "success" ]; then
gitea-client comment-pr arcodange dance-lessons-coach $pr "✅ CI Passed - Ready for review!"
fi
fi
done
```

View File

@@ -40,6 +40,18 @@ Create a token in Gitea:
## Commands
### List Workflows
```bash
skill gitea-client list-workflows <owner> <repo>
```
List available workflows for a repository.
**Arguments:**
- `owner`: Repository owner
- `repo`: Repository name
### List Jobs
```bash
@@ -151,6 +163,80 @@ gitea-client list-workflow-jobs arcodange dance-lessons-coach 351 | jq '.jobs[]
gitea-client list-workflow-jobs arcodange dance-lessons-coach 350
```
### Monitor Workflow Run
```bash
skill gitea-client monitor-workflow <owner> <repo> <workflow_run_id> [interval_seconds]
```
Monitor a workflow run until completion with automatic updates.
**Arguments:**
- `owner`: Repository owner
- `repo`: Repository name
- `workflow_run_id`: Workflow run ID
- `interval_seconds`: Update interval in seconds (default: 30)
**Example:**
```bash
# Monitor workflow run 415 with 30-second updates
gitea-client monitor-workflow arcodange dance-lessons-coach 415 30
# Monitor with faster updates (10 seconds)
gitea-client monitor-workflow arcodange dance-lessons-coach 415 10
```
### Diagnose Failed Job
```bash
skill gitea-client diagnose-job <owner> <repo> <job_id>
```
Diagnose a failed job with automatic error analysis.
**Arguments:**
- `owner`: Repository owner
- `repo`: Repository name
- `job_id`: Job ID
**Features:**
- Shows job details (status, conclusion, timestamps)
- Displays last 50 lines of logs
- Automatically extracts and highlights error messages
- Shows workflow run context
**Example:**
```bash
# Diagnose failed job 759
gitea-client diagnose-job arcodange dance-lessons-coach 759
```
### Get Recent Workflows Summary
```bash
skill gitea-client recent-workflows <owner> <repo> [limit] [status_filter]
```
Get a summary of recent workflow runs.
**Arguments:**
- `owner`: Repository owner
- `repo`: Repository name
- `limit`: Maximum number of workflows to show (default: 10)
- `status_filter`: Filter by status (optional: completed, in_progress, queued, waiting)
**Example:**
```bash
# Show last 5 workflow runs
gitea-client recent-workflows arcodange dance-lessons-coach 5
# Show only completed workflows
gitea-client recent-workflows arcodange dance-lessons-coach 10 completed
# Show in-progress workflows
gitea-client recent-workflows arcodange dance-lessons-coach 5 in_progress
```
### Wait for Job Completion
```bash
@@ -414,6 +500,70 @@ The skill handles common API errors:
4. **Logging**: Redirect output to files for debugging
5. **Timeouts**: Use reasonable timeouts for wait operations
## Enhanced Workflow Monitoring with New Commands
### Complete CI Debugging Workflow with New Commands
```bash
# 1. Get summary of recent workflows to identify issues
gitea-client recent-workflows arcodange dance-lessons-coach 10
# 2. Monitor a specific workflow run until completion
gitea-client monitor-workflow arcodange dance-lessons-coach 415 30
# 3. If workflow fails, automatically diagnose all failed jobs
WORKFLOW_ID=415
WORKFLOW_STATUS=$(gitea-client job-status arcodange dance-lessons-coach $WORKFLOW_ID | jq -r '.status')
WORKFLOW_CONCLUSION=$(gitea-client job-status arcodange dance-lessons-coach $WORKFLOW_ID | jq -r '.conclusion')
if [ "$WORKFLOW_CONCLUSION" = "failure" ]; then
echo "Workflow failed! Diagnosing all jobs..."
# Get all jobs in the workflow
JOBS=$(gitea-client list-workflow-jobs arcodange dance-lessons-coach $WORKFLOW_ID | jq -r '.jobs[] | select(.conclusion == "failure") | .id')
# Diagnose each failed job
for job_id in $JOBS; do
echo "Diagnosing job $job_id:"
gitea-client diagnose-job arcodange dance-lessons-coach $job_id
echo "========================================"
done
fi
# 4. Advanced monitoring with automatic diagnosis
WORKFLOW_ID=415
TIMEOUT=300
SECONDS_ELAPSED=0
while [ $SECONDS_ELAPSED -lt $TIMEOUT ]; do
STATUS=$(gitea-client job-status arcodange dance-lessons-coach $WORKFLOW_ID | jq -r '.status')
CONCLUSION=$(gitea-client job-status arcodange dance-lessons-coach $WORKFLOW_ID | jq -r '.conclusion')
echo "[$(date)] Status: $STATUS, Conclusion: ${CONCLUSION:-not completed}"
if [[ "$CONCLUSION" == "failure" ]]; then
echo "Workflow failed! Running automatic diagnosis..."
gitea-client diagnose-job arcodange dance-lessons-coach $WORKFLOW_ID
# Find PR and comment
PR_NUMBER=$(gitea-client list-prs arcodange dance-lessons-coach | \
jq -r '.[] | select(.head.ref == "feature/user-authentication-bdd") | .number')
if [ -n "$PR_NUMBER" ]; then
gitea-client comment-pr arcodange dance-lessons-coach $PR_NUMBER \
"⚠️ CI Workflow $WORKFLOW_ID failed. See diagnosis above for details."
fi
break
elif [[ "$STATUS" != "in_progress" && "$STATUS" != "waiting" ]]; then
echo "Workflow completed with status: $STATUS"
break
fi
sleep 30
SECONDS_ELAPSED=$((SECONDS_ELAPSED + 30))
done
```
## Real-World Use Case: PR Commenting Workflow
The Gitea client skill excels at automated PR commenting during CI/CD workflows.

View File

@@ -52,6 +52,20 @@ api_request() {
fi
}
# List workflows
cmd_list_workflows() {
local owner="$1"
local repo="$2"
if [[ -z "$owner" || -z "$repo" ]]; then
echo "Usage: $0 list-workflows <owner> <repo>" >&2
exit 1
fi
local endpoint="/repos/${owner}/${repo}/actions/workflows"
api_request "GET" "$endpoint"
}
# List jobs
cmd_list_jobs() {
local owner="$1"
@@ -189,6 +203,31 @@ cmd_wait_job() {
}
# Comment on PR
# Create a pull request
cmd_create_pr() {
local owner="$1"
local repo="$2"
local title="$3"
local body="$4"
local head="$5"
local base="${6:-main}"
if [[ -z "$owner" || -z "$repo" || -z "$title" || -z "$head" ]]; then
echo "Usage: $0 create-pr <owner> <repo> <title> <body> <head_branch> [base_branch]" >&2
exit 1
fi
local endpoint="/repos/${owner}/${repo}/pulls"
local data
data=$(jq -n \
--arg title "$title" \
--arg body "$body" \
--arg head "$head" \
--arg base "$base" \
'{title: $title, body: $body, head: $head, base: $base}')
api_request "POST" "$endpoint" "$data"
}
cmd_comment_pr() {
local owner="$1"
local repo="$2"
@@ -201,7 +240,8 @@ cmd_comment_pr() {
fi
local endpoint="/repos/${owner}/${repo}/issues/${pr_number}/comments"
local data="{\"body\": \"${comment}\"}"
local data
data=$(jq -n --arg body "$comment" '{body: $body}')
api_request "POST" "$endpoint" "$data"
}
@@ -226,12 +266,17 @@ main() {
shift || true
case "$command" in
list-workflows) cmd_list_workflows "$@" ;;
list-jobs) cmd_list_jobs "$@" ;;
job-status) cmd_job_status "$@" ;;
job-logs) cmd_job_logs "$@" ;;
action-logs) cmd_action_logs "$@" ;;
list-workflow-jobs) cmd_list_workflow_jobs "$@" ;;
wait-job) cmd_wait_job "$@" ;;
monitor-workflow) cmd_monitor_workflow "$@" ;;
diagnose-job) cmd_diagnose_job "$@" ;;
recent-workflows) cmd_recent_workflows "$@" ;;
create-pr) cmd_create_pr "$@" ;;
comment-pr) cmd_comment_pr "$@" ;;
pr-status) cmd_pr_status "$@" ;;
list-issues) cmd_list_issues "$@" ;;
@@ -241,16 +286,22 @@ main() {
list-wiki) cmd_list_wiki "$@" ;;
create-wiki) cmd_create_wiki "$@" ;;
get-wiki) cmd_get_wiki "$@" ;;
trigger-workflow) cmd_trigger_workflow "$@" ;;
*)
echo "Usage: $0 <command> [args...]" >&2
echo "" >&2
echo "Commands:" >&2
echo " list-workflows <owner> <repo>" >&2
echo " list-jobs <owner> <repo> <workflow_id> [limit]" >&2
echo " job-status <owner> <repo> <job_id>" >&2
echo " job-logs <owner> <repo> <job_id> [output_file]" >&2
echo " action-logs <owner> <repo> <action_job_id> [output_file]" >&2
echo " list-workflow-jobs <owner> <repo> <workflow_run_id>" >&2
echo " wait-job <owner> <repo> <job_id> [timeout]" >&2
echo " monitor-workflow <owner> <repo> <workflow_run_id> [interval_seconds]" >&2
echo " diagnose-job <owner> <repo> <job_id>" >&2
echo " recent-workflows <owner> <repo> [limit] [status_filter]" >&2
echo " create-pr <owner> <repo> <title> <body> <head_branch> [base_branch]" >&2
echo " comment-pr <owner> <repo> <pr_number> <comment>" >&2
echo " pr-status <owner> <repo> <pr_number>" >&2
echo " list-issues <owner> <repo> [state]" >&2
@@ -260,6 +311,7 @@ main() {
echo " list-wiki <owner> <repo>" >&2
echo " create-wiki <owner> <repo> <title> <content> [message]" >&2
echo " get-wiki <owner> <repo> <page_name>" >&2
echo " trigger-workflow <owner> <repo> <workflow_file> <branch>" >&2
exit 1
;;
esac
@@ -386,7 +438,140 @@ cmd_get_wiki() {
fi
local endpoint="/repos/$owner/$repo/wiki/page/$page_name"
api_request "GET" "$endpoint"
local response=$(api_request "GET" "$endpoint")
# Extract and decode the content_base64 field
local content_b64=$(echo "$response" | jq -r '.content_base64')
if [[ "$content_b64" != "null" && -n "$content_b64" ]]; then
echo "$content_b64" | base64 --decode
else
echo "$response"
fi
}
# Trigger workflow
cmd_trigger_workflow() {
local owner="$1"
local repo="$2"
local workflow_file="$3"
local branch="$4"
if [[ -z "$owner" || -z "$repo" || -z "$workflow_file" || -z "$branch" ]]; then
echo "Usage: $0 trigger-workflow <owner> <repo> <workflow_file> <branch>" >&2
exit 1
fi
local endpoint="/repos/${owner}/${repo}/actions/workflows/${workflow_file}/dispatches"
local data="{\"ref\": \"${branch}\"}"
echo "Triggering workflow: ${workflow_file} on branch: ${branch}"
api_request "POST" "$endpoint" "$data"
echo "Workflow triggered successfully!"
}
# Monitor workflow run until completion
cmd_monitor_workflow() {
local owner="$1"
local repo="$2"
local workflow_run_id="$3"
local interval="${4:-30}"
if [[ -z "$owner" || -z "$repo" || -z "$workflow_run_id" ]]; then
echo "Usage: $0 monitor-workflow <owner> <repo> <workflow_run_id> [interval_seconds]" >&2
exit 1
fi
echo "Monitoring workflow run $workflow_run_id (interval: ${interval}s)..."
echo "Press Ctrl+C to stop monitoring"
while true; do
local endpoint="/repos/${owner}/${repo}/actions/runs/${workflow_run_id}"
local status=$(api_request "GET" "$endpoint" | jq -r '.status')
local conclusion=$(api_request "GET" "$endpoint" | jq -r '.conclusion')
local updated_at=$(api_request "GET" "$endpoint" | jq -r '.updated_at')
echo "[$(date +'%Y-%m-%d %H:%M:%S')] Status: $status, Conclusion: ${conclusion:-not completed}, Updated: $updated_at"
# List jobs in this workflow
local jobs_endpoint="/repos/${owner}/${repo}/actions/runs/${workflow_run_id}/jobs"
local jobs=$(api_request "GET" "$jobs_endpoint")
echo "Jobs:"
echo "$jobs" | jq -r '.jobs[] | " \(.id): \(.name) - \(.status) \(if .conclusion then "(\(.conclusion))" else "" end)"'
# Check if workflow is completed
if [[ "$status" != "queued" && "$status" != "in_progress" && "$status" != "waiting" ]]; then
echo "Workflow run $workflow_run_id has completed with status: $status and conclusion: ${conclusion:-none}"
break
fi
sleep "$interval"
done
}
# Diagnose failed job
cmd_diagnose_job() {
local owner="$1"
local repo="$2"
local job_id="$3"
if [[ -z "$owner" || -z "$repo" || -z "$job_id" ]]; then
echo "Usage: $0 diagnose-job <owner> <repo> <job_id>" >&2
exit 1
fi
echo "Diagnosing job $job_id..."
# Get job details
local job_endpoint="/repos/${owner}/${repo}/actions/jobs/${job_id}"
local job_details=$(api_request "GET" "$job_endpoint")
echo "Job Details:"
echo "$job_details" | jq '. | {id, name, status, conclusion, started_at, completed_at, runner_name}'
# Get job logs
local logs_endpoint="/repos/${owner}/${repo}/actions/jobs/${job_id}/logs"
echo -e "\nLast 50 lines of logs:"
api_request "GET" "$logs_endpoint" | tail -50
# Look for errors
echo -e "\nError analysis:"
api_request "GET" "$logs_endpoint" | grep -i "error\|fail\|panic\|exception" | tail -10
# Get workflow run details
local run_id=$(echo "$job_details" | jq -r '.run_id')
local run_endpoint="/repos/${owner}/${repo}/actions/runs/${run_id}"
local run_details=$(api_request "GET" "$run_endpoint")
echo -e "\nWorkflow Run Details:"
echo "$run_details" | jq '. | {id, display_title, status, conclusion, head_branch, head_sha}'
}
# Get recent workflow runs summary
cmd_recent_workflows() {
local owner="$1"
local repo="$2"
local limit="${3:-10}"
local status_filter="${4:-}"
if [[ -z "$owner" || -z "$repo" ]]; then
echo "Usage: $0 recent-workflows <owner> <repo> [limit] [status_filter]" >&2
echo "Status filter options: all, completed, in_progress, queued, waiting" >&2
exit 1
fi
local endpoint="/repos/${owner}/${repo}/actions/runs?limit=${limit}"
if [[ -n "$status_filter" ]]; then
endpoint="$endpoint&status=$status_filter"
fi
local workflows=$(api_request "GET" "$endpoint")
echo "Recent Workflow Runs (showing $limit most recent):"
echo "$workflows" | jq -r '.workflow_runs[] | "\(.id): \(.display_title) - \(.status) \(if .conclusion then "(\(.conclusion))" else "" end) - \(.updated_at)"'
# Show summary statistics
echo -e "\nSummary:"
echo "$workflows" | jq -r '.workflow_runs | group_by(.conclusion) | .[] | " \(.[0].conclusion // "in_progress"): \(length)"'
}
main "$@"

View File

@@ -3,7 +3,7 @@ name: product-owner-assistant
description: A skill for managing Gitea issues, organizing them into Epics and User Stories, and facilitating product backlog refinement
license: MIT
metadata:
author: DanceLessonsCoach Team
author: dance-lessons-coach Team
version: "1.0.0"
dependencies:
- gitea-client

View File

@@ -2,7 +2,7 @@
## ✅ What We've Created
A comprehensive **Product Owner Assistant** skill for the DanceLessonsCoach project that enables effective agile product management using Gitea issues and wiki.
A comprehensive **Product Owner Assistant** skill for the dance-lessons-coach project that enables effective agile product management using Gitea issues and wiki.
## 🎯 Key Components

View File

@@ -6,7 +6,7 @@
set -e
# Configuration
SKILL_DIR="/Users/gabrielradureau/Work/Vibe/DanceLessonsCoach/.vibe/skills/product-owner-assistant"
SKILL_DIR="/Users/gabrielradureau/Work/Vibe/dance-lessons-coach/.vibe/skills/product-owner-assistant"
DATA_DIR="$SKILL_DIR/data"
GITEA_CLIENT="skill gitea-client"

View File

@@ -5,7 +5,7 @@
set -e
# Configuration
SKILL_DIR="/Users/gabrielradureau/Work/Vibe/DanceLessonsCoach/.vibe/skills/product-owner-assistant"
SKILL_DIR="/Users/gabrielradureau/Work/Vibe/dance-lessons-coach/.vibe/skills/product-owner-assistant"
GITEA_API="https://gitea.arcodange.lab/api/v1"
OWNER="arcodange"
REPO="dance-lessons-coach"

View File

@@ -2,7 +2,7 @@
## 🎯 Overview
This document describes the standardized workflow for implementing user stories in the DanceLessonsCoach project. The workflow follows a test-driven development approach with clear phases and deliverables.
This document describes the standardized workflow for implementing user stories in the dance-lessons-coach project. The workflow follows a test-driven development approach with clear phases and deliverables.
## 🔄 Workflow Diagram
@@ -89,7 +89,7 @@ Feature: User Persistence
```bash
# Run BDD tests
cd /Users/gabrielradureau/Work/Vibe/DanceLessonsCoach
cd /Users/gabrielradureau/Work/Vibe/dance-lessons-coach
godog features/user-persistence.feature
# Expected: Test fails with "pending" or "undefined" steps

View File

@@ -3,7 +3,7 @@ name: skill-creator
description: Creates and manages Mistral Vibe skills following the Agent Skills specification. Use when you need to create new skills, validate existing ones, or maintain skill consistency across projects.
license: MIT
metadata:
author: DanceLessonsCoach Team
author: dance-lessons-coach Team
version: "1.0.0"
---

View File

@@ -121,4 +121,4 @@ The skill_creator has been tested with:
- **Compliance**: Automatic validation ensures specification compliance
- **Maintainability**: Clear structure makes skills easier to update
The skill_creator provides a solid foundation for building a library of high-quality, specification-compliant skills for the DanceLessonsCoach project.
The skill_creator provides a solid foundation for building a library of high-quality, specification-compliant skills for the dance-lessons-coach project.

View File

@@ -6,7 +6,7 @@
## 📋 Overview
This skill provides comprehensive guidance and automation for managing OpenAPI/Swagger documentation in the DanceLessonsCoach project. It captures our best practices, tagging strategies, and automation patterns for maintaining high-quality API documentation.
This skill provides comprehensive guidance and automation for managing OpenAPI/Swagger documentation in the dance-lessons-coach project. It captures our best practices, tagging strategies, and automation patterns for maintaining high-quality API documentation.
## 🎯 Key Features
@@ -145,6 +145,6 @@ Found a better way? Have a new pattern?
---
**Maintained by:** DanceLessonsCoach Team
**Maintained by:** dance-lessons-coach Team
**License:** MIT
**Status:** Actively developed

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@@ -1,16 +1,16 @@
---
name: swagger-documentation
description: Manage and optimize OpenAPI/Swagger documentation for DanceLessonsCoach
description: Manage and optimize OpenAPI/Swagger documentation for dance-lessons-coach
license: MIT
metadata:
author: DanceLessonsCoach Team
author: dance-lessons-coach Team
version: "1.0.0"
---
# Swagger Documentation Skill
**Name:** `swagger-documentation`
**Purpose:** Manage and optimize OpenAPI/Swagger documentation for DanceLessonsCoach
**Purpose:** Manage and optimize OpenAPI/Swagger documentation for dance-lessons-coach
**Version:** 1.0.0
## 🎯 Skill Objectives
@@ -200,7 +200,7 @@ func (s *Server) handleHealth(w http.ResponseWriter, r *http.Request) {
- [swaggo/swag Documentation](https://github.com/swaggo/swag#declaration)
- [OpenAPI 2.0 Specification](https://swagger.io/specification/v2/)
### DanceLessonsCoach Specific
### dance-lessons-coach Specific
- [ADR 0013: OpenAPI/Swagger Toolchain](adr/0013-openapi-swagger-toolchain.md)
- [AGENTS.md OpenAPI Section](#openapi-documentation)
- [Current Implementation](pkg/greet/api_v1.go)
@@ -303,6 +303,6 @@ fi
---
**Maintainers**: DanceLessonsCoach Team
**Maintainers**: dance-lessons-coach Team
**License**: MIT
**Status**: Active

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@@ -1,4 +1,4 @@
# DanceLessonsCoach YAML Lint Configuration
# dance-lessons-coach YAML Lint Configuration
# More practical limits for CI/CD workflow files
extends: default

1308
AGENTS.md

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@@ -0,0 +1,32 @@
# AGENT_CHANGELOG
Trace ordonnée des décisions et actions structurantes prises par les agents AI (Claude Code, Mistral Vibe, autres) sur le projet `dance-lessons-coach`. Complémentaire au [`CHANGELOG.md`](CHANGELOG.md) qui couvre les changements user-facing du produit.
**Pourquoi ce fichier** : référencé dans la documentation directrice (cf. AGENTS.md), mais initialement absent du repo. Initialisé dans le cadre de la Tâche 6 du curriculum migration Claude → Mistral Vibe (ARCODANGE Phase 1).
## Convention
Une entrée par décision/action structurante prise par un agent AI. Format :
```
## YYYY-MM-DD — <Agent> — <Titre court>
**Contexte** : 1-3 lignes — pourquoi cette action
**Décision/Action** : ce qui a été fait
**Conséquence** : impact sur le projet (fichiers, conventions, workflows)
**Référence** : commit hash, PR Gitea, ADR, issue (le cas échéant)
```
Les entrées qui ne demandent pas de discussion (typo fixes, formatting, dependency bumps mineurs) ne sont **pas** loguées ici — c'est ce que fait le commit Git. Ce fichier garde uniquement les décisions où le **pourquoi** mérite une trace.
---
## 2026-05-02 — Mistral Vibe (intent-router) + Claude Code (Opus 4.7) — Initialisation AGENT_CHANGELOG.md
**Contexte** : Tâche 6 du curriculum migration ARCODANGE Phase 1 (cf. `~/.vibe/plans/migration-claude-vers-mistral-phase-1.md`). Le fichier `AGENT_CHANGELOG.md` était mentionné dans la documentation directrice projet mais n'existait pas — friction identifiée par l'audit Phase A.
**Décision/Action** : initialiser le fichier avec convention claire et pointer depuis `AGENTS.md` (Tâche 6 Phase C).
**Conséquence** : tout agent qui prend une décision structurante sur le projet doit ajouter une entrée datée ici. Permet la traçabilité des choix AI au-delà des commits Git.
**Référence** : Tâche 6 du plan migration. Voir aussi `~/.vibe/plans/task-6-phase-a-results.md` pour le contexte complet de la restructuration en cours.

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@@ -0,0 +1,57 @@
# Changelog
Notable user-facing changes to `dance-lessons-coach`. Format inspired by [Keep a Changelog](https://keepachangelog.com/), versioning follows [Semantic Versioning 2.0.0](https://semver.org/) (see [`documentation/version-management-guide.md`](documentation/version-management-guide.md)).
The historical phases of foundational development (Phase 1 to Phase 9) are documented in [`documentation/HISTORY.md`](documentation/HISTORY.md).
## [Unreleased]
### Added
_(items pending release; move to a versioned section when tagged)_
### Changed
### Fixed
---
## 2026-04-05 — Architecture Documentation
- ✅ Added comprehensive ADR directory with 9 decision records
- ✅ Enhanced Zerolog vs Zap analysis in logging ADR
- ✅ Updated `README.md` and `AGENTS.md` with ADR references
- ✅ Documented hybrid testing approach
- ✅ Added BDD testing decision record
## 2026-04-04 — Observability & Testing
- ✅ OpenTelemetry integration with Jaeger
- ✅ Middleware-only tracing approach
- ✅ Comprehensive telemetry configuration
- ✅ BDD testing framework setup
- ✅ Hybrid testing strategy documentation
## 2026-04-03 — Production Readiness
- ✅ Graceful shutdown with readiness endpoints
- ✅ Configuration management with Viper
- ✅ JSON logging configuration
- ✅ File output logging support
- ✅ Comprehensive error handling
## 2026-04-02 — Web API Foundation
- ✅ Chi router integration
- ✅ Versioned API endpoints (`/api/v1`)
- ✅ Health and readiness endpoints
- ✅ JSON responses with proper headers
- ✅ Interface-based design patterns
## 2026-04-01 — Project Foundation
- ✅ Go 1.26.1 environment setup
- ✅ Project structure with `cmd/` and `pkg/`
- ✅ Core Greet service implementation
- ✅ CLI interface
- ✅ Unit tests with table-driven approach

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@@ -1,6 +1,6 @@
# Contributing to DanceLessonsCoach
# Contributing to dance-lessons-coach
Thank you for your interest in contributing to DanceLessonsCoach! This guide will help you set up your development environment and understand our contribution process.
Thank you for your interest in contributing to dance-lessons-coach! This guide will help you set up your development environment and understand our contribution process.
## 📋 Table of Contents
@@ -24,8 +24,8 @@ Thank you for your interest in contributing to DanceLessonsCoach! This guide wil
```bash
# Clone the repository
git clone https://gitea.arcodange.lab/arcodange/DanceLessonsCoach.git
cd DanceLessonsCoach
git clone https://gitea.arcodange.lab/arcodange/dance-lessons-coach.git
cd dance-lessons-coach
# Install dependencies
go mod tidy
@@ -260,7 +260,7 @@ Major architectural decisions are documented in the `adr/` directory. Please rev
## 🤖 AI Agent Contributions
AI agents play a crucial role in maintaining and improving DanceLessonsCoach. This section provides guidance for AI agents on how to effectively contribute.
AI agents play a crucial role in maintaining and improving dance-lessons-coach. This section provides guidance for AI agents on how to effectively contribute.
### Key Files and Directories
@@ -342,7 +342,7 @@ AI agents play a crucial role in maintaining and improving DanceLessonsCoach. Th
## 📜 License
By contributing to DanceLessonsCoach, you agree that your contributions will be licensed under the MIT License.
By contributing to dance-lessons-coach, you agree that your contributions will be licensed under the MIT License.
---
@@ -350,7 +350,7 @@ By contributing to DanceLessonsCoach, you agree that your contributions will be
=======
## 🤖 AI Agent Contributions
AI agents play a crucial role in maintaining and improving DanceLessonsCoach. This section provides guidance for AI agents on how to effectively contribute.
AI agents play a crucial role in maintaining and improving dance-lessons-coach. This section provides guidance for AI agents on how to effectively contribute.
### Key Files and Directories
@@ -432,7 +432,7 @@ AI agents play a crucial role in maintaining and improving DanceLessonsCoach. Th
## 📜 License
By contributing to DanceLessonsCoach, you agree that your contributions will be licensed under the MIT License.
By contributing to dance-lessons-coach, you agree that your contributions will be licensed under the MIT License.
---

379
README.md
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@@ -1,361 +1,98 @@
# DanceLessonsCoach
# dance-lessons-coach
[![Build Status](https://gitea.arcodange.fr/api/badges/arcodange/DanceLessonsCoach/status)](https://gitea.arcodange.fr/arcodange/DanceLessonsCoach)
[![Go Report Card](https://goreportcard.com/badge/github.com/arcodange/DanceLessonsCoach)](https://goreportcard.com/report/github.com/arcodange/DanceLessonsCoach)
[![Version](https://img.shields.io/badge/version-1.4.0-blue.svg)](https://gitea.arcodange.fr/arcodange/DanceLessonsCoach/releases)
[![Build Status](https://gitea.arcodange.fr/arcodange/dance-lessons-coach/actions/workflows/ci-cd.yaml/badge.svg)](https://gitea.arcodange.fr/arcodange/dance-lessons-coach/actions/workflows/ci-cd.yaml)
[![Version](https://img.shields.io/badge/version-1.4.0-blue.svg)](https://gitea.arcodange.fr/arcodange/dance-lessons-coach/releases)
[![License](https://img.shields.io/badge/license-MIT-green.svg)](LICENSE)
A Go project demonstrating idiomatic package structure, CLI implementation, and JSON API with Chi router.
=======
Go web service demonstrating idiomatic package structure, versioned JSON API, and production-ready features.
## Features
- Greet function with default behavior
- Command-line interface
- JSON API with versioned endpoints
- Chi router integration
- Zerolog for high-performance logging
- Viper for configuration management
- Graceful shutdown with context
- Readiness endpoint for Kubernetes/service mesh integration
- OpenTelemetry integration with Jaeger support
- OpenAPI/Swagger documentation
- Unit tests
- Go 1.26.1 compatible
- Versioned JSON API (`/api/v1`, `/api/v2`)
- Chi router with graceful shutdown
- Zerolog structured logging (console and JSON modes)
- Viper configuration (file + env vars)
- Readiness endpoint for Kubernetes / service mesh
- OpenTelemetry / Jaeger distributed tracing
- OpenAPI / Swagger UI (embedded in binary)
- PostgreSQL user service with JWT auth
- BDD + unit tests
## Installation
## Quick Start
```bash
# Clone the repository
git clone https://gitea.arcodange.lab/arcodange/dance-lessons-coach.git
cd dance-lessons-coach
# Build all binaries
./scripts/build.sh
# Use the new Cobra CLI
./bin/dance-lessons-coach --help
# Or use the legacy greet CLI
go run ./cmd/greet
./scripts/build.sh # produces ./bin/server and ./bin/greet
./scripts/start-server.sh start
```
## CI/CD Pipeline
DanceLessonsCoach includes a portable CI/CD pipeline using GitHub Actions syntax:
### Features
-**Multi-platform**: Works on Gitea, GitHub, and GitLab
-**Build & Test**: Automated Go builds and tests
-**Linting**: Code quality checks with `go fmt` and `go vet`
-**Version Management**: Automatic version detection
-**Portable**: Uses standard GitHub Actions workflow format
### Workflow File
```yaml
# .github/workflows/main.yml
jobs:
build-test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-go@v4
with:
go-version: '1.26.1'
- run: go build ./...
- run: go test ./... -cover
lint-format:
runs-on: ubuntu-latest
steps:
- run: go fmt ./...
- run: go vet ./...
```bash
curl http://localhost:8080/api/health
curl http://localhost:8080/api/v1/greet/Alice
```
### Setup Instructions
1. **Gitea**: Enable GitHub Actions compatibility in repo settings
2. **GitHub**: Push to mirror repository (workflow runs automatically)
3. **GitLab**: Convert workflow to `.gitlab-ci.yml` or use compatibility mode
Stop: `./scripts/start-server.sh stop`
**See [ADR 0016](adr/0016-ci-cd-pipeline-design.md) for complete CI/CD design and [STATUS_BADGES.md](STATUS_BADGES.md) for badge setup.**
## Greet CLI
```bash
go run ./cmd/greet # Hello world!
go run ./cmd/greet Alice # Hello Alice!
```
## Configuration
Basic configuration options:
All options are available via `config.yaml` or `DLC_*` environment variables.
```bash
# Start with default configuration
./scripts/start-server.sh start
| Env var | Default | Description |
|---------|---------|-------------|
| `DLC_SERVER_PORT` | `8080` | Listening port |
| `DLC_SERVER_HOST` | `0.0.0.0` | Bind address |
| `DLC_LOGGING_JSON` | `false` | JSON log format |
| `DLC_LOGGING_OUTPUT` | stderr | Log file path |
| `DLC_SHUTDOWN_TIMEOUT` | `30s` | Graceful shutdown window |
| `DLC_API_V2_ENABLED` | `false` | Enable `/api/v2` routes |
| `DLC_CONFIG_FILE` | `./config.yaml` | Override config path |
# Custom port
export DLC_SERVER_PORT=9090
./scripts/start-server.sh start
See `config.example.yaml` for a full template.
# JSON logging
export DLC_LOGGING_JSON=true
./scripts/start-server.sh start
```
## API
**See [AGENTS.md](AGENTS.md#configuration-management) for comprehensive configuration guide including:**
- File-based configuration
- Environment variables
- Configuration priority rules
- OpenTelemetry setup
- Advanced scenarios
## Usage
### New Cobra CLI (Recommended)
```bash
# Show help
./bin/dance-lessons-coach --help
# Show version
./bin/dance-lessons-coach version
# Greet someone
./bin/dance-lessons-coach greet John
# Start server
./bin/dance-lessons-coach server
```
### Legacy CLI (Deprecated)
```bash
# Default greeting
go run ./cmd/greet
# Output: Hello world!
# Custom greeting
go run ./cmd/greet John
# Output: Hello John!
```
### Web Server
**Using the server control script (recommended):**
```bash
# Start the server
./scripts/start-server.sh start
# Test API endpoints
./scripts/start-server.sh test
# Access OpenAPI documentation
# Swagger UI: http://localhost:8080/swagger/
# OpenAPI spec: http://localhost:8080/swagger/doc.json
# Stop the server
./scripts/start-server.sh stop
```
**Manual server management:**
```bash
# Start the server
go run ./cmd/server
# Test API endpoints
curl http://localhost:8080/api/health
# Output: {"status":"healthy"}
curl http://localhost:8080/api/ready
# Output: {"ready":true}
curl http://localhost:8080/api/v1/greet
# Output: {"message":"Hello world!"}
curl http://localhost:8080/api/v1/greet/John
# Output: {"message":"Hello John!"}
```
| Method | Path | Description |
|--------|------|-------------|
| GET | `/api/health` | Liveness check |
| GET | `/api/ready` | Readiness check (503 during shutdown) |
| GET | `/api/version` | Version info (`?format=plain\|full\|json`) |
| GET | `/api/v1/greet/` | Default greeting |
| GET | `/api/v1/greet/{name}` | Named greeting |
| POST | `/api/v2/greet` | V2 greeting with validation |
| GET | `/swagger/` | Swagger UI |
## Testing
```bash
# Run all tests
go test ./...
# Run specific package tests
go test ./pkg/greet/
go test ./... # unit + integration tests
./scripts/test-graceful-shutdown.sh # lifecycle + JSON logging validation
./scripts/test-opentelemetry.sh # tracing end-to-end
```
## CI/CD
## Gitea Client
DanceLessonsCoach includes a comprehensive CI/CD pipeline with multiple testing options:
AI agent helper script at `.vibe/skills/gitea-client/scripts/gitea-client.sh`.
### Local Testing (No Gitea Required)
Auth setup:
```bash
# Validate workflow structure
./scripts/cicd.sh validate
# Test workflow steps locally
./scripts/cicd.sh test-simple
echo "your_token" > ~/.gitea_token
chmod 600 ~/.gitea_token
export GITEA_API_TOKEN_FILE="$HOME/.gitea_token"
```
### Gitea Integration
```bash
# Test local setup with Gitea configuration
./scripts/cicd.sh test-local
# Check pipeline status on Gitea
./scripts/cicd.sh check-status
```
### Full CI/CD Testing
```bash
# Test with docker compose (requires Gitea runner)
./scripts/cicd.sh test-docker
```
**See [adr/0016-ci-cd-pipeline-design.md](adr/0016-ci-cd-pipeline-design.md) for complete CI/CD architecture.**
## Project Structure
```
DanceLessonsCoach/
├── adr/ # Architecture Decision Records
├── cmd/ # Entry points (greet CLI, server)
├── pkg/ # Core packages (config, greet, server, telemetry)
│ └── server/docs/ # Generated OpenAPI documentation (gitignored)
├── config.yaml # Configuration file
├── scripts/ # Management scripts
└── go.mod # Go module definition
```
**See [AGENTS.md](AGENTS.md#project-structure) for detailed structure and component explanations.**
```
## Development
### Generate OpenAPI Documentation
The project uses [swaggo/swag](https://github.com/swaggo/swag) to generate OpenAPI/Swagger documentation from code annotations:
```bash
# Generate documentation
go generate ./pkg/server/
# This creates:
# - pkg/server/docs/docs.go (swagger template)
# - pkg/server/docs/swagger.json (OpenAPI spec)
# - pkg/server/docs/swagger.yaml (YAML version)
```
**Note:** `pkg/server/docs/` is gitignored. Documentation is embedded in the binary at build time.
### Documentation Annotations
Add swagger annotations to handlers and models:
```go
// @Summary Get personalized greeting
// @Description Returns a greeting with the specified name
// @Tags greet
// @Accept json
// @Produce json
// @Param name path string true "Name to greet"
// @Success 200 {object} GreetResponse "Successful response"
// @Failure 400 {object} ErrorResponse "Invalid name parameter"
// @Router /v1/greet/{name} [get]
func (h *apiV1GreetHandler) handleGreetPath(w http.ResponseWriter, r *http.Request) {
// handler implementation
}
```
Get a token at https://gitea.arcodange.lab → Profile → Settings → Applications.
## Architecture
This project uses Architecture Decision Records (ADRs) to document key technical choices. See [adr/](adr/) for complete documentation including decisions on Go 1.26.1, Chi router, Zerolog, OpenTelemetry, interface-based design, graceful shutdown, configuration management, testing strategies, and OpenAPI documentation.
**Adding new decisions?** See [adr/README.md](adr/README.md) for guidelines.
## Gitea Integration
DanceLessonsCoach includes AI agent skills for Gitea integration to monitor CI/CD jobs and interact with pull requests.
### Gitea Client Skill Setup
The Gitea client skill enables AI agents to:
- Monitor CI/CD job status
- Fetch job logs for debugging
- Comment on pull requests
- Track PR status
**Setup Instructions:**
1. **Create a Personal Access Token:**
- Log in to https://gitea.arcodange.lab
- Go to Profile → Settings → Applications
- Generate token with `read:repository`, `write:repository`, and `read:user` scopes
2. **Configure Authentication:**
```bash
# Option 1: Environment variable
export GITEA_API_TOKEN="your_token"
# Option 2: Token file (recommended)
echo "your_token" > ~/.gitea_token
chmod 600 ~/.gitea_token
export GITEA_API_TOKEN_FILE="$HOME/.gitea_token"
```
3. **Add to shell configuration:**
```bash
echo 'export GITEA_API_TOKEN_FILE="$HOME/.gitea_token"' >> ~/.bashrc
source ~/.bashrc
```
**Usage Examples:**
```bash
# List recent jobs
.vibe/skills/gitea-client/scripts/gitea-client.sh list-jobs owner repo workflow_id 5
# Wait for job completion
.vibe/skills/gitea-client/scripts/gitea-client.sh wait-job owner repo job_id 300
# Comment on PR
.vibe/skills/gitea-client/scripts/gitea-client.sh comment-pr owner repo 42 "Build completed!"
```
**Documentation:** See [.vibe/skills/gitea-client/README.md](.vibe/skills/gitea-client/README.md) for complete setup and usage guide.
## 🤖 AI Agent Usage
### Quick Launch Commands
**Programmer Agent** (for code implementation, testing, CI/CD):
```bash
vibe start --agent dancelessonscoachprogrammer
```
**Product Owner Agent** (for requirements, interviews, documentation):
```bash
vibe start --agent dancelessonscoach-product-owner
```
### Full Documentation
For complete agent usage guide including:
- Agent selection guidance
- Common workflow examples
- Configuration reference
- Best practices
- Troubleshooting tips
See: [AGENT_USAGE_GUIDE.md](documentation/AGENT_USAGE_GUIDE.md)
### Gitmoji Cheatsheet
Quick reference for commit messages:
- **📝 `:memo:` docs** - Documentation
- **✨ `:sparkles:` feat** - New feature
- **🐛 `:bug:` fix** - Bug fix
- **♻️ `:recycle:` refactor** - Code refactoring
- **🔧 `:wrench:` chore** - Build/config changes
Full cheatsheet: [GITMOJI_CHEATSHEET.md](documentation/GITMOJI_CHEATSHEET.md)
Key decisions are documented in [adr/](adr/). See [AGENTS.md](AGENTS.md) for the full development reference (commands, config, ADR index, commit conventions).
## License

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@@ -1,4 +1,4 @@
# DanceLessonsCoach Version
# dance-lessons-coach Version
# Current Version (Semantic Versioning)
MAJOR=1

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@@ -6,7 +6,7 @@
## Context and Problem Statement
We needed to choose a Go version for the DanceLessonsCoach project that provides:
We needed to choose a Go version for the dance-lessons-coach project that provides:
- Stability and long-term support
- Access to modern language features
- Good ecosystem compatibility

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@@ -6,7 +6,7 @@
## Context and Problem Statement
We needed to choose an HTTP router for the DanceLessonsCoach web service that provides:
We needed to choose an HTTP router for the dance-lessons-coach web service that provides:
- Good performance characteristics
- Flexible routing capabilities
- Middleware support

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@@ -6,7 +6,7 @@
## Context and Problem Statement
We needed to choose a logging library for DanceLessonsCoach that provides:
We needed to choose a logging library for dance-lessons-coach that provides:
- High performance with minimal overhead
- Structured logging capabilities
- Multiple output formats (console, JSON)
@@ -94,7 +94,7 @@ Chosen option: "Zerolog" because it provides excellent performance, clean API, g
| With fields | 3 alloc | 4 alloc |
| Complex | 5 alloc | 6 alloc |
### Real-World Impact for DanceLessonsCoach
### Real-World Impact for dance-lessons-coach
* **Performance**: <1μs difference per request - negligible impact
* **Memory**: Zerolog's better allocation profile helps in long-running services

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@@ -6,7 +6,7 @@
## Context and Problem Statement
We needed to choose a design pattern for DanceLessonsCoach that provides:
We needed to choose a design pattern for dance-lessons-coach that provides:
- Good testability and mocking capabilities
- Flexibility for future changes
- Clear separation of concerns

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@@ -6,7 +6,7 @@
## Context and Problem Statement
We needed to implement a shutdown mechanism for DanceLessonsCoach that provides:
We needed to implement a shutdown mechanism for dance-lessons-coach that provides:
- Clean resource cleanup
- Proper handling of in-flight requests
- Kubernetes/service mesh compatibility

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@@ -6,7 +6,7 @@
## Context and Problem Statement
We needed a configuration management solution for DanceLessonsCoach that provides:
We needed a configuration management solution for dance-lessons-coach that provides:
- Support for multiple configuration sources (files, environment variables, defaults)
- Configuration validation
- Type-safe configuration loading

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@@ -6,7 +6,7 @@
## Context and Problem Statement
We needed to add observability to DanceLessonsCoach that provides:
We needed to add observability to dance-lessons-coach that provides:
- Distributed tracing capabilities
- Performance monitoring
- Request flow visualization
@@ -105,7 +105,7 @@ func (s *Server) getAllMiddlewares() []func(http.Handler) http.Handler {
telemetry:
enabled: true
otlp_endpoint: "localhost:4317"
service_name: "DanceLessonsCoach"
service_name: "dance-lessons-coach"
insecure: true
sampler:
type: "parentbased_always_on"

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@@ -4,9 +4,11 @@
* Deciders: Gabriel Radureau, AI Agent
* Date: 2026-04-05
> **⚠️ Structure superseded by ADR-0024.** The framework decision (Godog, in-process test server) remains valid. However, the flat `features/` layout and single `steps.go` file described here were replaced by a modular per-domain structure. See ADR-0024 for the current organisation: `features/{auth,greet,health,jwt,config}/` with domain-specific step files and per-domain `*_test.go` runners. The `cd features && godog` execution pattern is also outdated — each domain now uses `go test`.
## Context and Problem Statement
We needed to add behavioral testing to DanceLessonsCoach that provides:
We needed to add behavioral testing to dance-lessons-coach that provides:
- User-centric test scenarios
- Living documentation
- Integration testing capabilities

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@@ -1,14 +1,15 @@
# Combine BDD and Swagger-based testing
# BDD Testing with OpenAPI Documentation
* Status: ✅ Partially Implemented (BDD + Documentation only)
* Status: Accepted
* Deciders: Gabriel Radureau, AI Agent
* Date: 2026-04-05
* Last Updated: 2026-04-05
* Implementation Status: BDD testing and OpenAPI documentation completed, SDK generation deferred
* Last Updated: 2026-04-12
> **⚠️ Title corrected.** This ADR was originally named "Combine BDD and Swagger-based testing" with the intent of eventually adding SDK-generated BDD tests as a second layer ("hybrid"). That second layer was deferred and has no concrete plan. The actual architecture is **BDD direct-HTTP testing + OpenAPI documentation via swaggo** — calling it "hybrid" is misleading. SDK generation remains a possible future enhancement but is not tracked by any open issue.
## Context and Problem Statement
We need to establish a comprehensive testing strategy for DanceLessonsCoach that provides:
We need to establish a comprehensive testing strategy for dance-lessons-coach that provides:
- Behavioral verification through BDD
- API documentation through Swagger/OpenAPI
- Client SDK validation

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@@ -6,7 +6,7 @@
## Context
The DanceLessonsCoach application needed to add a new API version (v2) that provides different greeting behavior while maintaining backward compatibility with the existing v1 API. The v2 API should only be available when explicitly enabled via a feature flag.
The dance-lessons-coach application needed to add a new API version (v2) that provides different greeting behavior while maintaining backward compatibility with the existing v1 API. The v2 API should only be available when explicitly enabled via a feature flag.
## Decision

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@@ -0,0 +1,36 @@
# 11. Validation Library Selection
* Status: Accepted
* Deciders: Gabriel Radureau, AI Agent
* Date: 2026-04-05
* Implementation Date: 2026-04-05
## Context and Problem Statement
The dance-lessons-coach application needs input validation for API request bodies and configuration values. We need a library that integrates well with Go structs and provides clear error messages.
## Decision Drivers
* Struct-tag-based validation to avoid boilerplate
* Good error messages with field-level detail
* Active maintenance and wide adoption
* Compatibility with existing interface-based design
## Considered Options
* `github.com/go-playground/validator/v10` — struct-tag driven, widely adopted
* `github.com/asaskevich/govalidator` — tag-based but less expressive
* Manual validation — full control, no dependency, high boilerplate
## Decision Outcome
Chosen option: **`go-playground/validator/v10`** because it is the de-facto standard in the Go ecosystem, supports struct-tag annotations, provides field-level error detail, and integrates cleanly with our interface-based design.
## Implementation
`github.com/go-playground/validator/v10 v10.30.2` is present in `go.mod`.
The `pkg/validation/` package wraps the validator for reuse across handlers.
## Links
* [go-playground/validator GitHub](https://github.com/go-playground/validator)

View File

@@ -6,7 +6,7 @@
## Context
The DanceLessonsCoach project implemented Git hooks to automatically run `go fmt` and `go mod tidy` before commits. Initially, the `go fmt` hook was configured to format **all Go files** in the repository, regardless of their staged status.
The dance-lessons-coach project implemented Git hooks to automatically run `go fmt` and `go mod tidy` before commits. Initially, the `go fmt` hook was configured to format **all Go files** in the repository, regardless of their staged status.
During implementation review, concerns were raised about this approach:

View File

@@ -9,7 +9,7 @@
## Context
The DanceLessonsCoach project requires comprehensive API documentation and testing capabilities. As the API evolves with v1 and v2 endpoints, we need a robust OpenAPI/Swagger toolchain to:
The dance-lessons-coach project requires comprehensive API documentation and testing capabilities. As the API evolves with v1 and v2 endpoints, we need a robust OpenAPI/Swagger toolchain to:
1. **Document APIs**: Generate interactive API documentation
2. **Test APIs**: Enable automated API testing
@@ -166,9 +166,9 @@ import (
// Chi adapter would be needed
)
// @title DanceLessonsCoach API
// @title dance-lessons-coach API
// @version 1.0
// @description API for DanceLessonsCoach service
// @description API for dance-lessons-coach service
// @host localhost:8080
// @BasePath /api
func main() {
@@ -328,71 +328,9 @@ After thorough evaluation and implementation, we've successfully integrated swag
go install github.com/swaggo/swag/cmd/swag@latest
# 2. Add swagger metadata to main.go
// @title DanceLessonsCoach API
// @title dance-lessons-coach API
// @version 1.0
// @description API for DanceLessonsCoach service
// @host localhost:8080
// @BasePath /api
package main
```
### Swag Formatting Integration
To ensure consistent swagger comment formatting, we've integrated `swag fmt` into our workflow:
#### Git Hooks
Added to `.git/hooks/pre-commit`:
```bash
# Run swag fmt to format swagger comments
echo "Running swag fmt..."
if command -v swag >/dev/null 2>&1; then
swag fmt
if [ $? -ne 0 ]; then
echo "ERROR: swag fmt failed"
exit 1
fi
else
echo "swag not installed, skipping swag fmt"
fi
```
#### CI/CD Integration
Added to `.gitea/workflows/go-ci-cd.yaml` lint-format job:
```yaml
- name: Install swag
run: go install github.com/swaggo/swag/cmd/swag@latest
- name: Run swag fmt
run: swag fmt
```
#### Benefits
- **Consistent Formatting**: Automatic formatting of swagger comments
- **Pre-Commit Validation**: Catches issues before commit
- **CI/CD Enforcement**: Ensures formatting in all pull requests
- **Team Consistency**: Everyone follows the same rules
- **Automatic Fixes**: Issues are fixed automatically
#### Usage
```bash
# Format swagger comments manually
swag fmt
# Format is automatically run in:
# - pre-commit hook
# - CI/CD lint-format job
```
=======
### Final Implementation
```bash
# 1. Install swaggo
go install github.com/swaggo/swag/cmd/swag@latest
# 2. Add swagger metadata to main.go
// @title DanceLessonsCoach API
// @version 1.0
// @description API for DanceLessonsCoach service
// @description API for dance-lessons-coach service
// @host localhost:8080
// @BasePath /api
package main
@@ -525,7 +463,7 @@ s.router.Get("/swagger/*", httpSwagger.WrapHandler)
# 2. Create OpenAPI spec (openapi.yaml)
# openapi: 3.0.3
# info:
# title: DanceLessonsCoach API
# title: dance-lessons-coach API
# version: 1.0.0
# 3. Generate server types
@@ -654,9 +592,9 @@ go install github.com/deepmap/oapi-codegen/cmd/oapi-codegen@latest
# 2. Create OpenAPI spec (openapi.yaml)
openapi: 3.0.3
info:
title: DanceLessonsCoach API
title: dance-lessons-coach API
version: 1.0.0
description: API for DanceLessonsCoach service
description: API for dance-lessons-coach service
servers:
- url: http://localhost:8080/api
description: Development server

View File

@@ -0,0 +1,44 @@
# 14. gRPC Adoption Strategy
* Status: Rejected / Deferred
* Deciders: Gabriel Radureau, AI Agent
* Date: 2026-04-05
## Context and Problem Statement
As the API grows, gRPC was evaluated as an alternative or complement to REST for internal service communication. The question was whether to adopt gRPC alongside the existing Chi REST API.
## Decision Drivers
* Performance of inter-service communication
* Type safety via Protocol Buffers
* Streaming support
* Team familiarity and operational overhead
## Considered Options
* **Hybrid REST/gRPC** — add gRPC endpoints alongside existing REST endpoints
* **REST only** — maintain current Chi router approach
* **gRPC-first with transcoding** — use bufbuild/connect for unified REST+gRPC
## Decision Outcome
Chosen option: **REST only (deferred)**. gRPC adoption is not warranted at the current scale. The application has a small number of endpoints, a single-binary deployment model, and no internal service mesh that would benefit from gRPC's efficiency.
### Reasons for deferral
1. **No inter-service communication today** — the application is a single binary; gRPC's main benefit (efficient binary RPC between services) does not apply
2. **Complexity cost** — adding Protobuf toolchain, code generation, and a second transport layer would significantly increase cognitive overhead
3. **Chi router commitment** — the REST API is well-designed with OpenAPI documentation; introducing gRPC in parallel creates dual-maintenance burden
4. **Team capacity** — limited bandwidth for large architectural changes
## When to reconsider
* Application evolves into multiple services that need efficient internal RPC
* Streaming use cases emerge (real-time lesson progress, etc.)
* External consumers explicitly require gRPC endpoints
## Links
* [ADR-0002: Chi Router](0002-chi-router.md)
* [ADR-0013: OpenAPI/Swagger Toolchain](0013-openapi-swagger-toolchain.md)

View File

@@ -8,7 +8,7 @@
## Context
As DanceLessonsCoach grows, we need a more robust and maintainable CLI structure. Currently, we use simple flag parsing (`--version`), but this approach has limitations:
As dance-lessons-coach grows, we need a more robust and maintainable CLI structure. Currently, we use simple flag parsing (`--version`), but this approach has limitations:
1. **Limited scalability**: Adding more commands/flags becomes messy
2. **Poor user experience**: No built-in help, completion, or validation
@@ -51,10 +51,10 @@ We will adopt **Cobra** as our CLI framework. Cobra is a mature, widely-used lib
```go
var rootCmd = &cobra.Command{
Use: "dance-lessons-coach",
Short: "DanceLessonsCoach - API server and CLI tools",
Long: `DanceLessonsCoach provides greeting services and API management.
Short: "dance-lessons-coach - API server and CLI tools",
Long: `dance-lessons-coach provides greeting services and API management.
To begin working with DanceLessonsCoach, run:
To begin working with dance-lessons-coach, run:
dance-lessons-coach server --help`,
SilenceUsage: true,
}
@@ -69,7 +69,7 @@ var versionCmd = &cobra.Command{
var serverCmd = &cobra.Command{
Use: "server",
Short: "Start the DanceLessonsCoach server",
Short: "Start the dance-lessons-coach server",
Run: func(cmd *cobra.Command, args []string) {
// Load config and start server
cfg, err := config.LoadConfig()
@@ -116,7 +116,7 @@ func main() {
**Current Commands:**
- `version`: Print version information
- `server`: Start the DanceLessonsCoach server
- `server`: Start the dance-lessons-coach server
- `greet [name]`: Greet someone by name
- `help`: Built-in help system
- `completion`: Shell completion scripts (automatic)
@@ -222,7 +222,7 @@ dance-lessons-coach config validate
---
**Status:** Proposed
**Next Review:** 2026-04-12
**Status:** Accepted
**Implementation Date:** 2026-04-05
**Implementation Owner:** Arcodange Team
**Approvers Needed:** @gabrielradureau
**Approved by:** @gabrielradureau

View File

@@ -1,14 +1,14 @@
# 16. CI/CD Pipeline Design for Multi-Platform Compatibility
**Date:** 2026-04-05
**Status:** 🟡 Proposed
**Status:** ✅ Accepted
**Authors:** Arcodange Team
**Decision Date:** TBD
**Implementation Status:** Not Started
**Decision Date:** 2026-04-08
**Implementation Status:** ✅ Completed
## Context
DanceLessonsCoach requires a robust CI/CD pipeline that:
dance-lessons-coach requires a robust CI/CD pipeline that:
1. **Primary Platform**: Gitea (self-hosted Git service)
2. **Mirror Support**: GitHub and GitLab mirrors for visibility and backup
@@ -69,7 +69,7 @@ graph TD
```yaml
# .github/workflows/main.yml
name: DanceLessonsCoach CI/CD
name: dance-lessons-coach CI/CD
on:
push:
@@ -140,10 +140,10 @@ jobs:
# README.md
[![Build Status](https://ci.dancelessonscoach.org/api/badges/project/status)](https://ci.dancelessonscoach.org)
[![GitHub Mirror Status](https://github.com/yourorg/DanceLessonsCoach/actions/workflows/main.yml/badge.svg)](https://github.com/yourorg/DanceLessonsCoach/actions)
[![GitLab Mirror Status](https://gitlab.com/yourorg/DanceLessonsCoach/badges/main/pipeline.svg)](https://gitlab.com/yourorg/DanceLessonsCoach/-/pipelines)
[![Go Report Card](https://goreportcard.com/badge/github.com/yourorg/DanceLessonsCoach)](https://goreportcard.com/report/github.com/yourorg/DanceLessonsCoach)
[![Code Coverage](https://codecov.io/gh/yourorg/DanceLessonsCoach/branch/main/graph/badge.svg)](https://codecov.io/gh/yourorg/DanceLessonsCoach)
[![GitHub Mirror Status](https://github.com/yourorg/dance-lessons-coach/actions/workflows/main.yml/badge.svg)](https://github.com/yourorg/dance-lessons-coach/actions)
[![GitLab Mirror Status](https://gitlab.com/yourorg/dance-lessons-coach/badges/main/pipeline.svg)](https://gitlab.com/yourorg/dance-lessons-coach/-/pipelines)
[![Go Report Card](https://goreportcard.com/badge/github.com/yourorg/dance-lessons-coach)](https://goreportcard.com/report/github.com/yourorg/dance-lessons-coach)
[![Code Coverage](https://codecov.io/gh/yourorg/dance-lessons-coach/branch/main/graph/badge.svg)](https://codecov.io/gh/yourorg/dance-lessons-coach)
```
### 5. Mirror Synchronization Strategy
@@ -170,7 +170,7 @@ mkdir -p .gitea/workflows
# 2. Create main workflow file with Arcodange-specific configuration
cat > .gitea/workflows/ci-cd.yaml << 'EOF'
name: DanceLessonsCoach CI/CD
name: dance-lessons-coach CI/CD
on:
push:
@@ -200,41 +200,41 @@ jobs:
- name: Notify internal systems
if: always()
run: |
curl -X POST "$GITEA_INTERNAL/api/v1/repos/yourorg/DanceLessonsCoach/statuses/$(git rev-parse HEAD)" \
curl -X POST "$GITEA_INTERNAL/api/v1/repos/yourorg/dance-lessons-coach/statuses/$(git rev-parse HEAD)" \
-H "Authorization: token $GITEA_TOKEN" \
-H "Content-Type: application/json" \
-d "{\"state\": \"$([ $? -eq 0 ] && echo 'success' || echo 'failure')\", \"context\": \"ci/build-test\"}"
EOF
# 3. Enable Gitea CI/CD in repo settings (Arcodange instance)
# - Go to: https://gitea.arcodange.lab/arcodange/DanceLessonsCoach/settings/actions
# - Go to: https://gitea.arcodange.lab/arcodange/dance-lessons-coach/settings/actions
# - Enable GitHub Actions
# - Configure runner to use internal network (192.168.1.202)
# - Set up GITEA_TOKEN for API access
# - SSH URL: ssh://git@192.168.1.202:2222/arcodange/DanceLessonsCoach.git
# - SSH URL: ssh://git@192.168.1.202:2222/arcodange/dance-lessons-coach.git
# 4. Add STATUS_BADGES.md with Arcodange-specific URLs
cat > STATUS_BADGES.md << 'EOF'
## Arcodange Gitea Badges
```markdown
[![Build Status](https://gitea.arcodange.fr/api/badges/arcodange/DanceLessonsCoach/status)](https://gitea.arcodange.fr/arcodange/DanceLessonsCoach)
[![Pipeline](https://gitea.arcodange.fr/api/badges/arcodange/DanceLessonsCoach/pipeline.svg)](https://gitea.arcodange.fr/arcodange/DanceLessonsCoach/-/pipelines)
[![Build Status](https://gitea.arcodange.fr/api/badges/arcodange/dance-lessons-coach/status)](https://gitea.arcodange.fr/arcodange/dance-lessons-coach)
[![Pipeline](https://gitea.arcodange.fr/api/badges/arcodange/dance-lessons-coach/pipeline.svg)](https://gitea.arcodange.fr/arcodange/dance-lessons-coach/-/pipelines)
```
**Configuration Details:**
- Organization: arcodange
- Repository: DanceLessonsCoach
- Repository: dance-lessons-coach
- Internal URL: https://gitea.arcodange.lab/
- External URL: https://gitea.arcodange.fr/
- SSH URL: ssh://git@192.168.1.202:2222/arcodange/DanceLessonsCoach.git
- SSH URL: ssh://git@192.168.1.202:2222/arcodange/dance-lessons-coach.git
- Badges use external URL with full org/repo path
- CI/CD uses internal URL for faster network access
EOF
# 5. Configure CI/CD runners on internal network
# - Set up runners to access: https://gitea.arcodange.lab/
# - Configure SSH access: ssh://git@192.168.1.202:2222/arcodange/DanceLessonsCoach.git
# - Configure SSH access: ssh://git@192.168.1.202:2222/arcodange/dance-lessons-coach.git
# - Ensure runners have network access to internal services (192.168.1.202:2222)
# - Configure runners with proper GITEA_TOKEN
# - Test connection: curl https://gitea.arcodange.lab/api/v1/version
@@ -332,18 +332,18 @@ cat > STATUS_BADGES.md << 'EOF'
## GitHub Mirror
```markdown
[![GitHub CI](https://github.com/yourorg/DanceLessonsCoach/actions/workflows/main.yml/badge.svg)](https://github.com/yourorg/DanceLessonsCoach/actions)
[![GitHub CI](https://github.com/yourorg/dance-lessons-coach/actions/workflows/main.yml/badge.svg)](https://github.com/yourorg/dance-lessons-coach/actions)
```
## GitLab Mirror
```markdown
[![GitLab CI](https://gitlab.com/yourorg/DanceLessonsCoach/badges/main/pipeline.svg)](https://gitlab.com/yourorg/DanceLessonsCoach/-/pipelines)
[![GitLab CI](https://gitlab.com/yourorg/dance-lessons-coach/badges/main/pipeline.svg)](https://gitlab.com/yourorg/dance-lessons-coach/-/pipelines)
```
## Code Quality
```markdown
[![Go Report Card](https://goreportcard.com/badge/github.com/yourorg/DanceLessonsCoach)](https://goreportcard.com/report/github.com/yourorg/DanceLessonsCoach)
[![Code Coverage](https://codecov.io/gh/yourorg/DanceLessonsCoach/branch/main/graph/badge.svg)](https://codecov.io/gh/yourorg/DanceLessonsCoach)
[![Go Report Card](https://goreportcard.com/badge/github.com/yourorg/dance-lessons-coach)](https://goreportcard.com/report/github.com/yourorg/dance-lessons-coach)
[![Code Coverage](https://codecov.io/gh/yourorg/dance-lessons-coach/branch/main/graph/badge.svg)](https://codecov.io/gh/yourorg/dance-lessons-coach)
```
EOF
@@ -452,7 +452,7 @@ docker run --rm \
-e GITEA_INTERNAL="https://gitea.arcodange.lab/" \
-e GITEA_EXTERNAL="https://gitea.arcodange.fr/" \
-e GITEA_ORG="arcodange" \
-e GITEA_REPO="DanceLessonsCoach" \
-e GITEA_REPO="dance-lessons-coach" \
gitea/act_runner:latest \
act -W .gitea/workflows/ci-cd.yaml --rm
```
@@ -472,7 +472,7 @@ act -W .gitea/workflows/ci-cd.yaml \
# 3. With specific event simulation
act push -W .gitea/workflows/ci-cd.yaml \
--env GITEA_ORG=arcodange \
--env GITEA_REPO=DanceLessonsCoach
--env GITEA_REPO=dance-lessons-coach
```
### Pipeline Status Checking Scripts
@@ -489,10 +489,10 @@ echo "🔍 Checking CI/CD Pipeline Status"
echo "================================"
# 1. Gitea (Primary) - Internal URL
if curl -s -o /dev/null -w "%{http_code}" "https://gitea.arcodange.lab/api/v1/repos/arcodange/DanceLessonsCoach/actions/workflows" | grep -q "200"; then
if curl -s -o /dev/null -w "%{http_code}" "https://gitea.arcodange.lab/api/v1/repos/arcodange/dance-lessons-coach/actions/workflows" | grep -q "200"; then
echo "✅ Gitea Internal API: Accessible"
# Get workflow list
WORKFLOWS=$(curl -s "https://gitea.arcodange.lab/api/v1/repos/arcodange/DanceLessonsCoach/actions/workflows" | jq -r '.[] | .name + " (" + .file_name + ")"')
WORKFLOWS=$(curl -s "https://gitea.arcodange.lab/api/v1/repos/arcodange/dance-lessons-coach/actions/workflows" | jq -r '.[] | .name + " (" + .file_name + ")"')
echo "📋 Gitea Workflows:"
echo "$WORKFLOWS" | sed 's/^/ - /'
else
@@ -502,9 +502,9 @@ fi
# 2. Gitea (External) - Public URL
echo ""
echo "🌐 Gitea External Status:"
if curl -s -o /dev/null -w "%{http_code}" "https://gitea.arcodange.fr/arcodange/DanceLessonsCoach" | grep -q "200"; then
if curl -s -o /dev/null -w "%{http_code}" "https://gitea.arcodange.fr/arcodange/dance-lessons-coach" | grep -q "200"; then
echo "✅ Gitea External: Accessible"
echo "🔗 Repository: https://gitea.arcodange.fr/arcodange/DanceLessonsCoach"
echo "🔗 Repository: https://gitea.arcodange.fr/arcodange/dance-lessons-coach"
else
echo "❌ Gitea External: Not accessible"
fi
@@ -512,7 +512,7 @@ fi
# 3. Check badge API
echo ""
echo "🏷️ Badge API Status:"
BADGE_URL="https://gitea.arcodange.fr/api/badges/arcodange/DanceLessonsCoach/status"
BADGE_URL="https://gitea.arcodange.fr/api/badges/arcodange/dance-lessons-coach/status"
if curl -s -o /dev/null -w "%{http_code}" "$BADGE_URL" | grep -q "200"; then
echo "✅ Badge API: Accessible"
echo "🔗 Badge URL: $BADGE_URL"
@@ -541,8 +541,8 @@ echo "✅ Arcodange conventions: Matches webapp workflow style"
echo ""
echo "💡 Next Steps:"
echo " 1. Push to trigger workflow: git push origin main"
echo " 2. Check Gitea Actions: https://gitea.arcodange.lab/arcodange/DanceLessonsCoach/actions"
echo " 3. Monitor badges: https://gitea.arcodange.fr/arcodange/DanceLessonsCoach"
echo " 2. Check Gitea Actions: https://gitea.arcodange.lab/arcodange/dance-lessons-coach/actions"
echo " 3. Monitor badges: https://gitea.arcodange.fr/arcodange/dance-lessons-coach"
```
### Workflow Validation Script
@@ -659,7 +659,7 @@ services:
- GITEA_INTERNAL=https://gitea.arcodange.lab/
- GITEA_EXTERNAL=https://gitea.arcodange.fr/
- GITEA_ORG=arcodange
- GITEA_REPO=DanceLessonsCoach
- GITEA_REPO=dance-lessons-coach
command: act -W .gitea/workflows/ci-cd.yaml --rm
yamllint:
@@ -758,7 +758,81 @@ graph TD
---
**Status:** Proposed
**Next Review:** 2026-04-12
## Implementation Status
### ✅ Completed - Container/Services Architecture
The CI/CD pipeline has been successfully implemented using GitHub Actions' container/services architecture:
**Key Implementation Details:**
1. **Container-based Execution**: All CI steps run within a pre-built Docker cache image containing Go tools, Node.js, and PostgreSQL client
2. **Service-based PostgreSQL**: Database provided as a service container, accessible via `postgres` hostname
3. **Smart Caching**: Dependency hash calculated from `go.mod`, `go.sum`, and `Dockerfile.build` for accurate cache invalidation
4. **Environment Configuration**: Database connection parameters set via `DLC_*` environment variables
5. **Simplified Workflow**: Removed Docker Compose overhead and unnecessary setup steps
**Current Workflow Structure:**
```yaml
jobs:
build-cache:
name: Build Docker Cache
# Calculates dependency hash and builds cache image if needed
ci-pipeline:
name: CI Pipeline
needs: build-cache
container:
image: gitea.arcodange.lab/arcodange/dance-lessons-coach-build-cache:${{ needs.build-cache.outputs.deps_hash }}
services:
postgres:
image: postgres:15
env:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: dance_lessons_coach_bdd_test
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set database environment variables
run: |
echo "DLC_DATABASE_HOST=postgres" >> $GITHUB_ENV
echo "DLC_DATABASE_PORT=5432" >> $GITHUB_ENV
# ... other database config
- name: Generate Swagger Docs
run: go generate ./pkg/server
- name: Build all packages
run: go build ./...
- name: Wait for PostgreSQL to be ready
run: pg_isready -h postgres -p 5432
- name: Run tests with coverage
run: go test ./... -coverprofile=coverage.out
- name: Build binaries
run: ./scripts/build.sh
```
**Performance Improvements:**
-**Faster execution**: Direct container execution without compose overhead
-**Reliable caching**: Accurate dependency tracking with multi-file hash
-**Simpler debugging**: Clear container boundaries and service networking
-**Better portability**: Standard GitHub Actions patterns work across platforms
**Verification:**
-**Workflow 465**: Both jobs completed successfully (2026-04-08)
-**All tests passing**: Database connectivity working correctly
-**Coverage reporting**: Badges updating automatically
-**Binary builds**: Scripts executing properly in container environment
**Status:** ✅ Accepted
**Implementation Date:** 2026-04-08
**Implementation Owner:** Arcodange Team
**Approvers Needed:** @gabrielradureau
**Reviewers:** @gabrielradureau

View File

@@ -8,7 +8,7 @@
## Context
DanceLessonsCoach requires a safe workflow for making CI/CD changes to prevent breaking the main branch. The current workflow allows direct pushes to main, which poses risks for CI/CD configuration changes that could break the entire pipeline.
dance-lessons-coach requires a safe workflow for making CI/CD changes to prevent breaking the main branch. The current workflow allows direct pushes to main, which poses risks for CI/CD configuration changes that could break the entire pipeline.
## Decision Drivers
@@ -220,13 +220,13 @@ echo 'm' | act -n -W .gitea/workflows/ci-cd.yaml
#### Sample Dry Run Output
```
*DRYRUN* [DanceLessonsCoach CI/CD/Build and Test ] ⭐ Run Set up job
*DRYRUN* [DanceLessonsCoach CI/CD/Build and Test ] 🚀 Start image=node:16-buster-slim
*DRYRUN* [DanceLessonsCoach CI/CD/Build and Test ] ✅ Success - Set up job
*DRYRUN* [DanceLessonsCoach CI/CD/Build and Test ] ⭐ Run Main Checkout code
*DRYRUN* [DanceLessonsCoach CI/CD/Build and Test ] ✅ Success - Main Checkout code [4.038875ms]
*DRYRUN* [dance-lessons-coach CI/CD/Build and Test ] ⭐ Run Set up job
*DRYRUN* [dance-lessons-coach CI/CD/Build and Test ] 🚀 Start image=node:16-buster-slim
*DRYRUN* [dance-lessons-coach CI/CD/Build and Test ] ✅ Success - Set up job
*DRYRUN* [dance-lessons-coach CI/CD/Build and Test ] ⭐ Run Main Checkout code
*DRYRUN* [dance-lessons-coach CI/CD/Build and Test ] ✅ Success - Main Checkout code [4.038875ms]
... (all steps succeeded)
*DRYRUN* [DanceLessonsCoach CI/CD/Build and Test ] 🏁 Job succeeded
*DRYRUN* [dance-lessons-coach CI/CD/Build and Test ] 🏁 Job succeeded
```
### Recommended Local Development Workflow

View File

@@ -1,13 +1,14 @@
# 18. User Management and Authentication System
**Date:** 2024-04-06
**Status:** Proposed
**Date:** 2026-04-06
**Status:** Accepted
**Implementation Date:** 2026-04-08
**Authors:** Product Owner
**Decision Drivers:** Security, User Personalization, Admin Functionality
## Context
The DanceLessonsCoach application currently lacks user management and authentication capabilities. To provide personalized experiences and administrative functions, we need to implement a secure user authentication system with PostgreSQL persistence.
The dance-lessons-coach application currently lacks user management and authentication capabilities. To provide personalized experiences and administrative functions, we need to implement a secure user authentication system with PostgreSQL persistence.
## Decision
@@ -69,7 +70,7 @@ CREATE TABLE users (
#### Architecture Alignment
The user management system follows the established DanceLessonsCoach patterns:
The user management system follows the established dance-lessons-coach patterns:
1. **Interface-based Design:**
```go
@@ -120,6 +121,7 @@ The user management system follows the established DanceLessonsCoach patterns:
- 30-minute expiration for access tokens
- Secure random signing key
- HTTPS-only cookies
- **Secret Rotation:** Multiple valid secrets with retention policy (see Issue #8)
3. **Admin Access:**
- Master password from environment variable
- Non-persisted admin user
@@ -308,7 +310,7 @@ type Config struct {
## Implementation Plan
This implementation builds upon the completed phases and follows the established DanceLessonsCoach patterns.
This implementation builds upon the completed phases and follows the established dance-lessons-coach patterns.
### Phase 10: User Management Foundation (Next Phase)
@@ -464,6 +466,7 @@ The implementation maintains full backward compatibility:
3. **User Activity Logging:** For audit trails
4. **Password Strength Meter:** For better user experience
5. **Account Recovery:** Email/phone-based recovery options
6. **JWT Secret Rotation:** Implement secret persistence and rotation mechanism (Issue #8)
## References

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@@ -0,0 +1,702 @@
# 19. PostgreSQL Database Integration
**Date:** 2026-04-07
**Status:** Accepted (Partial)
**Implementation Date:** 2026-04-08
**Authors:** Product Owner
**Decision Drivers:** Data Persistence, Scalability, Production Readiness
> **⚠️ Pending cleanup:** `pkg/user/sqlite_repository.go` and `gorm.io/driver/sqlite` still present in the codebase. The ADR requires their removal, but no Gitea issue tracks this yet. The PostgreSQL implementation (`pkg/user/postgres_repository.go`) is complete and in use.
## Context
The dance-lessons-coach application currently uses SQLite with GORM for the user management system (ADR 0018), but since there are no existing users or production data, we can implement PostgreSQL directly as our primary database without migration concerns.
### Current State
- **Database:** SQLite (in-memory mode) - no persistent data
- **ORM:** GORM v1.31.1
- **Implementation:** `pkg/user/sqlite_repository.go`
- **Usage:** User management system only
- **Data:** No existing users or production data
### Implementation Drivers
1. **Production Readiness:** PostgreSQL is enterprise-grade and production-ready
2. **Data Persistence:** Proper persistent storage for user accounts
3. **Concurrency:** PostgreSQL handles concurrent connections better
4. **Scalability:** PostgreSQL supports horizontal scaling
5. **Features:** Advanced PostgreSQL features (JSONB, full-text search)
6. **Ecosystem:** Better tooling and monitoring for PostgreSQL
## Decision
We will implement PostgreSQL database directly, replacing the SQLite implementation with the following characteristics:
### Core Features
1. **Database Setup**
- PostgreSQL 15+ for production compatibility
- Containerized development environment
- Connection pooling for performance
- SSL support for secure connections
2. **ORM Integration**
- GORM as the primary ORM
- Interface-based repository pattern
- Database migrations for schema management
- Transaction support for data integrity
3. **Configuration Management**
- Viper integration for database settings
- Environment variable support with DLC_ prefix
- Multiple environment support (dev, staging, prod)
- Connection health checking
4. **Integration Points**
- User management system (ADR 0018)
- Existing greet service (for future personalization)
- OpenTelemetry tracing integration
- Zerolog structured logging
### Technical Implementation
#### Database Schema Foundation
```sql
-- Users table (from ADR 0018)
CREATE TABLE users (
id SERIAL PRIMARY KEY,
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
deleted_at TIMESTAMP WITH TIME ZONE,
username VARCHAR(50) UNIQUE NOT NULL,
password_hash VARCHAR(255) NOT NULL,
description TEXT,
current_goal TEXT,
is_admin BOOLEAN DEFAULT FALSE,
allow_password_reset BOOLEAN DEFAULT FALSE,
last_login TIMESTAMP WITH TIME ZONE
);
-- Greet history table (future extension)
CREATE TABLE greet_history (
id SERIAL PRIMARY KEY,
created_at TIMESTAMP WITH TIME ZONE DEFAULT CURRENT_TIMESTAMP,
user_id INTEGER REFERENCES users(id),
message TEXT NOT NULL,
context JSONB
);
```
#### Technology Stack
- **Database:** PostgreSQL 15+ - production-ready relational database
- **ORM:** GORM v1.25+ - aligns with interface-based design
- **Migrations:** GORM AutoMigrate + custom SQL migrations
- **Connection Pooling:** PgBouncer-compatible connection management
- **Configuration:** Viper integration - consistent with existing patterns
- **Logging:** Zerolog integration - structured database logging
- **Telemetry:** OpenTelemetry database instrumentation
#### Architecture Alignment
The PostgreSQL integration follows established dance-lessons-coach patterns:
1. **Interface-based Design:**
```go
type DatabaseRepository interface {
GetDB() *gorm.DB
Close() error
HealthCheck(ctx context.Context) error
BeginTransaction(ctx context.Context) (*gorm.DB, error)
}
type UserRepository interface {
CreateUser(ctx context.Context, user *User) error
GetUserByUsername(ctx context.Context, username string) (*User, error)
// ... other methods
}
```
2. **Context-aware Services:**
```go
func (r *PostgresUserRepository) CreateUser(ctx context.Context, user *User) error {
log.Trace().Ctx(ctx).Str("username", user.Username).Msg("Creating user")
return r.db.WithContext(ctx).Create(user).Error
}
```
3. **Configuration Integration:**
```go
type DatabaseConfig struct {
Type string `mapstructure:"type"` // sqlite, postgres, auto
Host string `mapstructure:"host"`
Port int `mapstructure:"port"`
User string `mapstructure:"user"`
Password string `mapstructure:"password"`
Name string `mapstructure:"name"`
SSLMode string `mapstructure:"ssl_mode"`
MaxOpenConns int `mapstructure:"max_open_conns"`
MaxIdleConns int `mapstructure:"max_idle_conns"`
ConnMaxLifetime time.Duration `mapstructure:"conn_max_lifetime"`
}
```
4. **Graceful Shutdown Integration:**
```go
func (s *Server) Shutdown(ctx context.Context) error {
// Close database connections gracefully
if s.userRepo != nil {
if err := s.userRepo.Close(); err != nil {
log.Error().Err(err).Msg("User repository shutdown failed")
// Continue shutdown even if database fails
}
}
// The readiness endpoint already handles shutdown detection via s.readyCtx
// No need for atomic operations - the context-based approach is cleaner
// Continue with existing HTTP server shutdown
return s.httpServer.Shutdown(ctx)
}
```
5. **Readiness Endpoint Integration:**
```go
func (s *Server) handleReadiness(w http.ResponseWriter, r *http.Request) {
// Check database health if using persistent database
if s.config.GetDatabaseType() != "sqlite" {
if err := s.userRepo.CheckDatabaseHealth(r.Context()); err != nil {
log.Warn().Err(err).Msg("Database health check failed")
s.writeJSONResponse(w, http.StatusServiceUnavailable, map[string]interface{}{
"ready": false,
"reason": "database_unhealthy",
"error": err.Error(),
})
return
}
}
// Existing readiness logic
select {
case <-s.readyCtx.Done():
s.writeJSONResponse(w, http.StatusServiceUnavailable, map[string]interface{}{
"ready": false,
"reason": "shutting_down",
})
default:
s.writeJSONResponse(w, http.StatusOK, map[string]interface{}{
"ready": true,
})
}
}
```
### Implementation Strategy
#### Phase 1: PostgreSQL Repository Implementation
1. **Replace Dependencies:**
```bash
# Remove SQLite dependencies
go get gorm.io/driver/postgres
go get github.com/lib/pq # PostgreSQL driver
go mod tidy # Clean up unused dependencies
```
2. **Create PostgreSQL Repository:**
- `pkg/user/postgres_repository.go` - PostgreSQL implementation
- Implement `UserRepository` interface directly
- Add PostgreSQL-specific connection management
3. **Docker Setup:**
- Create `docker-compose.yml` with PostgreSQL 16 service (current stable version)
- Add initialization scripts for development
- Configure health checks and monitoring
- Use Alpine-based image for smaller footprint
4. **Configuration:**
- Add `DatabaseConfig` to existing config structure
- Environment variables with `DLC_` prefix
- Connection validation and health checking
#### Phase 2: Server Integration
1. **Update Server Initialization:**
- Modify `initializeUserServices()` in `pkg/server/server.go`
- Replace SQLite repository with PostgreSQL repository
- Update error handling and logging
2. **Remove SQLite Code:**
- Delete `pkg/user/sqlite_repository.go`
- Clean up any SQLite-specific references
- Update imports and dependencies
3. **Enhance Health Checks:**
- Add database health check to readiness endpoint
- Implement connection pooling monitoring
- Add startup health validation
#### Phase 3: Testing & Validation
1. **BDD Test Integration:**
- Updated test server configuration with PostgreSQL settings
- Automatic PostgreSQL container startup in test script
- Health checks for database readiness before tests
- **Separate BDD test database** (`dance_lessons_coach_bdd_test`)
- Complete isolation from development/production databases
2. **Test Script Enhancement:**
- `scripts/run-bdd-tests.sh` now starts PostgreSQL if needed
- **Automatic BDD database creation** using `createdb` command
- Checks for existing BDD database before creating
- Waits for database readiness before running tests
- Proper error handling and timeout management
- Reuses existing container if already running
3. **Database Isolation Strategy:**
- **Development**: `dance_lessons_coach` (config.yaml)
- **BDD Tests**: `dance_lessons_coach_bdd_test` (automatically created)
- **Production**: Custom name per environment
- **Manual Testing**: Developers can use development database
3. **Unit & Integration Tests:**
- Repository method testing with PostgreSQL
- Transaction and error case testing
- Performance benchmarks
- Connection failure scenarios
4. **Graceful Shutdown Testing:**
- Database connection cleanup during shutdown
- Readiness endpoint behavior during shutdown
- Connection pool behavior under stress
#### Phase 4: Documentation & Finalization
1. **Documentation Updates:**
- Update AGENTS.md with PostgreSQL setup instructions
- Add database configuration guide
- Create development setup documentation
- Update BDD test documentation
2. **Cleanup:**
- Remove all SQLite references from code
- Update go.mod and go.sum
- Verify no unused imports or dependencies
3. **Production Readiness:**
- Add database health monitoring
- Configure connection pooling for production
- Add environment-specific configurations
1. **User Model & Repository:**
- `pkg/user/models.go` - GORM user model
- `pkg/user/repository.go` - GORM implementation
- `pkg/user/repository_mock.go` - Mock for testing
2. **Database Integration:**
- Implement `UserRepository` interface
- Add transaction support
- Implement health checks
3. **Testing Setup:**
- Test container for PostgreSQL
- Integration test suite
- Mock-based unit tests
#### Phase 3: Service Integration
1. **Auth Service Integration:**
- Update auth service to use user repository
- Implement JWT token persistence
- Add session management
2. **Greet Service Extension:**
- Add greet history tracking
- Implement user-specific greetings
- Add database logging
3. **API Endpoints:**
- Health check endpoint: `GET /api/health/db`
- Database metrics endpoint: `GET /api/metrics/db`
#### Phase 4: Testing & Validation
1. **BDD Test Integration:**
- Temporary test database setup
- Test container for PostgreSQL
- Clean database between scenarios
- Test data isolation
2. **Unit & Integration Tests:**
- Repository method testing
- Transaction testing
- Error case testing
- Performance benchmarks
3. **Fallback Testing:**
- SQLite fallback scenarios
- Connection failure handling
- Graceful degradation
## Consequences
### Positive
1. **Data Persistence:** User accounts and application data properly persisted
2. **Production Ready:** PostgreSQL is enterprise-grade database
3. **Scalability:** Better concurrent connection handling
4. **Simplified Architecture:** Direct PostgreSQL implementation without migration complexity
5. **Clean Codebase:** No legacy SQLite code or dual implementation
6. **Future-Proof:** Foundation for all future data-driven features
### Negative
1. **Dependency Changes:** Replacing SQLite with PostgreSQL dependencies
2. **Operational Overhead:** Database container management
3. **Learning Curve:** PostgreSQL-specific features and optimization
4. **Testing Requirements:** Comprehensive testing needed for new implementation
### Neutral
1. **Code Changes:** Repository implementation replacement
2. **Configuration Updates:** New database configuration structure
3. **Development Workflow:** Docker-based database for local development
## Alternatives Considered
### Alternative 1: Keep SQLite with File Persistence
- **Pros:** Simple, no new dependencies, works for small-scale
- **Cons:** Not production-grade, limited concurrency, file-based limitations
- **Rejected:** Doesn't meet long-term production requirements
### Alternative 2: Dual Implementation with Fallback
- **Pros:** Smooth migration path, backward compatibility
- **Cons:** Complex codebase, testing overhead, maintenance burden
- **Rejected:** Unnecessary complexity since no existing data or users
### Alternative 2: MySQL
- **Pros:** Widely used, good community support
- **Cons:** Different ecosystem, licensing concerns
- **Rejected:** PostgreSQL better fits our needs
### Alternative 3: MongoDB
- **Pros:** Flexible schema, document-oriented
- **Cons:** NoSQL approach, different query patterns
- **Rejected:** Relational data better suits our model
### Alternative 4: Pure SQL (no ORM)
- **Pros:** No ORM overhead, direct control
- **Cons:** More boilerplate, manual query building
- **Rejected:** GORM provides good balance
## Graceful Shutdown & Readiness Integration
### Database Connection Lifecycle
The PostgreSQL integration must properly handle the server lifecycle:
1. **Startup Sequence:**
- Initialize database connections
- Run health check
- Set readiness to true only if database is healthy
- Log connection details at trace level
2. **Runtime Operation:**
- Monitor database connection health
- Handle connection failures gracefully
- Implement connection retry logic
- Log connection issues appropriately
3. **Shutdown Sequence:**
- Set readiness to false immediately
- Close all database connections
- Wait for in-flight queries to complete
- Handle shutdown timeouts gracefully
- Log shutdown progress
### Readiness Endpoint Enhancement
The existing `/api/ready` endpoint already has the correct nested structure for service health checks. We'll enhance it to include PostgreSQL database health:
**Current Structure:**
```json
{
"ready": true,
"connections": {
"database": {
"status": "healthy"
}
}
}
```
**Health Check Logic:**
```go
func (r *PostgresUserRepository) CheckDatabaseHealth(ctx context.Context) error {
// Simple query to test connectivity
var count int64
result := r.db.WithContext(ctx).Model(&User{}).Count(&count)
if result.Error != nil {
return fmt.Errorf("database health check failed: %w", result.Error)
}
return nil
}
```
**Readiness Response States:**
- **Healthy:** `{"ready": true, "connections": {"database": {"status": "healthy"}}}`
- **Database Unhealthy:** `{"ready": false, "reason": "database_unhealthy", "connections": {"database": {"status": "unhealthy", "error": "connection refused"}}}`
- **Shutting Down:** `{"ready": false, "reason": "server_shutting_down", "connections": {"database": "not_checked"}}`
- **Not Configured:** `{"ready": true, "connections": {"database": {"status": "not_configured"}}}` (for SQLite mode)
### Connection Pool Management
Proper connection pool configuration for graceful shutdown:
```go
// In database initialization
sqlDB, err := db.DB()
if err != nil {
return nil, fmt.Errorf("failed to get SQL DB: %w", err)
}
// Configure connection pool
sqlDB.SetMaxOpenConns(cfg.MaxOpenConns)
sqlDB.SetMaxIdleConns(cfg.MaxIdleConns)
sqlDB.SetConnMaxLifetime(cfg.ConnMaxLifetime)
// Configure graceful connection handling
sqlDB.SetConnMaxIdleTime(time.Minute * 5)
sqlDB.SetConnMaxLifetime(time.Hour * 1)
```
### Shutdown Timeout Handling
```go
func (s *Server) Shutdown(ctx context.Context) error {
// Create shutdown context with timeout
shutdownCtx, cancel := context.WithTimeout(ctx, s.config.GetShutdownTimeout())
defer cancel()
// Close database connections with timeout
done := make(chan struct{})
go func() {
if s.userRepo != nil {
if err := s.userRepo.Close(); err != nil {
log.Error().Err(err).Msg("Database shutdown error")
}
}
close(done)
}()
select {
case <-done:
log.Trace().Msg("Database shutdown completed")
case <-shutdownCtx.Done():
log.Warn().Msg("Database shutdown timed out, forcing closure")
}
return s.httpServer.Shutdown(shutdownCtx)
}
```
## Alignment with Existing Architecture
This implementation builds upon completed phases:
- **Phase 1-3:** Uses Go 1.26.1, Chi router, Zerolog, interface-based design
- **Phase 5:** Extends Viper configuration management
- **Phase 6:** Integrates with graceful shutdown patterns and readiness endpoints
- **Phase 7:** Maintains OpenTelemetry compatibility
- **Phase 8:** Follows existing build system patterns
- **Phase 9:** Preserves trace-level logging approach
- **Phase 18:** Supports user management system
## Backward Compatibility
The implementation maintains full backward compatibility:
1. **API Endpoints:** Existing endpoints unchanged
2. **Configuration:** All existing config options preserved
3. **Logging:** Maintains existing Zerolog integration
4. **Telemetry:** OpenTelemetry continues to work
5. **Error Handling:** Consistent error patterns
## Success Metrics
1. **Reliability:** 99.9% database uptime
2. **Performance:** <100ms average query time
3. **Scalability:** Support 1000+ concurrent connections
4. **Data Integrity:** Zero data corruption incidents
5. **Adoption:** All new features use database storage
## Open Questions
1. What should be the connection pool size for production?
2. Should we implement read replicas for scaling?
3. What backup strategy should we implement?
4. Should we add database connection health metrics?
5. What query timeout should we set for production?
## Database Cleanup Strategy
### Decision: Raw SQL Cleanup Between Scenarios
**Approach:** Use raw SQL DELETE statements with `SET CONSTRAINTS ALL DEFERRED` to clean up database between test scenarios
**Rationale:**
- **Black Box Principle:** BDD tests should not depend on implementation details
- **Foreign Key Safety:** `SET CONSTRAINTS ALL DEFERRED` allows proper handling of constraints (PostgreSQL docs: https://www.postgresql.org/docs/current/sql-set-constraints.html)
- **Migration Compatibility:** Works regardless of schema changes
- **Transaction Safety:** Uses explicit transactions with proper rollback handling
**Alternatives Considered:**
1. **Repository-based cleanup** - Rejected: Violates black box principle
2. **Transaction rollback** - Rejected: Complex with nested transactions
3. **Recreate database** - Rejected: Too slow for frequent test runs
4. **Separate test database** - Chosen: Combined with SQL cleanup
### Implementation Details
**Cleanup Process:**
1. **Disable constraints temporarily:** `SET CONSTRAINTS ALL DEFERRED`
2. **Query all tables:** From `information_schema.tables`
3. **Delete in reverse order:** Handle foreign key dependencies
4. **Reset sequences:** `ALTER SEQUENCE ... RESTART WITH 1`
**Execution Timing:**
- **AfterSuite:** Full cleanup after all scenarios
- **Between Scenarios:** Individual scenario cleanup (future enhancement)
**Benefits:**
- ✅ **Fast execution:** Milliseconds vs seconds for recreation
- ✅ **Reliable:** Handles schema changes automatically
- ✅ **Isolated:** Each test gets clean state
- ✅ **Maintainable:** No dependency on ORM or repositories
### Temporary Database Approach
For BDD testing, we'll use temporary PostgreSQL databases to ensure:
- **Isolation:** Each test run gets a clean database
- **Reproducibility:** Consistent starting state
- **Performance:** No interference between tests
- **CI/CD Compatibility:** Works in containerized environments
### Implementation Plan
1. **Test Container Setup:**
```bash
# Use testcontainers-go for PostgreSQL
go get github.com/testcontainers/testcontainers-go
go get github.com/testcontainers/testcontainers-go/modules/postgres
```
2. **BDD Test Configuration:**
- Create `features/support/database.go`
- Implement `BeforeScenario` and `AfterScenario` hooks
- Automatic database cleanup
- Integrate with existing test suite structure
3. **Test Data Management:**
- Schema migration before each scenario
- Transaction rollback for data isolation
- Seed data for specific scenarios
- Match existing BDD test patterns
4. **Configuration:**
```yaml
# config.test.yaml
database:
host: "localhost"
port: 5433 # Different from dev port
name: "dance_lessons_coach_test"
user: "test_user"
password: "test_password"
```
### Example Test Setup
```go
// features/support/database.go
func BeforeScenario(ctx context.Context, sc *godog.Scenario) (context.Context, error) {
// Start PostgreSQL container
postgresContainer, err := postgres.RunContainer(ctx,
testcontainers.WithImage("postgres:15-alpine"),
postgres.WithDatabase("test_db"),
postgres.WithUsername("test_user"),
postgres.WithPassword("test_password"),
)
if err != nil {
return ctx, err
}
// Get connection string
connStr, err := postgresContainer.ConnectionString(ctx, "sslmode=disable")
if err != nil {
return ctx, err
}
// Store in context for test
ctx = context.WithValue(ctx, "postgres_container", postgresContainer)
ctx = context.WithValue(ctx, "postgres_conn_str", connStr)
// Initialize user repository with test database
config := config.GetTestConfig()
config.Database.DSN = connStr
repo, err := user.NewPostgresRepository(config)
if err != nil {
return ctx, err
}
// Store repository in context for scenario steps
ctx = context.WithValue(ctx, "user_repository", repo)
return ctx, nil
}
func AfterScenario(ctx context.Context, sc *godog.Scenario, err error) (context.Context, error) {
// Clean up repository
if repo, ok := ctx.Value("user_repository").(user.UserRepository); ok {
repo.Close()
}
// Terminate PostgreSQL container
if container, ok := ctx.Value("postgres_container").(testcontainers.Container); ok {
if terminateErr := container.Terminate(ctx); terminateErr != nil {
log.Error().Err(terminateErr).Msg("Failed to terminate PostgreSQL container")
}
}
return ctx, err
}
```
## Future Considerations
### Immediate Next Steps (Post-Migration)
1. **CI/CD Integration:** Add PostgreSQL to CI pipeline
2. **Performance Tuning:** Query optimization
3. **Monitoring:** Database health metrics
4. **Backup Strategy:** Regular database backups
### Long-Term Enhancements
1. **Database Sharding:** For horizontal scaling
2. **Read Replicas:** For read-heavy workloads
3. **Advanced Caching:** Redis integration
4. **Database Monitoring:** Prometheus exporter
5. **Backup Automation:** Regular backup scheduling
6. **Query Optimization:** Performance tuning
## References
- [GORM Documentation](https://gorm.io/)
- [PostgreSQL 16 Documentation](https://www.postgresql.org/docs/16/)
- [PostgreSQL Latest Version](https://www.postgresql.org/)
- [GORM + PostgreSQL Guide](https://gorm.io/docs/connecting_to_the_database.html#PostgreSQL)
- [Database Connection Pooling](https://www.alexedwards.net/blog/configuring-sqldb)
**Approved by:** [Product Owner]
**Approval Date:** [To be determined]
**Implementation Target:** Q2 2024

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@@ -0,0 +1,494 @@
# ADR 0020: Docker Build Strategy - Traditional vs Buildx
## Status
**Accepted** ✅
## Context
The dance-lessons-coach CI/CD pipeline initially used Docker Buildx (`docker buildx build --push`) for building and pushing Docker cache images. However, this approach encountered several issues:
### Issues with Buildx Approach
1. **TLS Certificate Problems**: Buildx had difficulty with self-signed certificates, requiring complex workaround steps
2. **Performance Concerns**: Buildx setup and execution was significantly slower than expected
3. **Complexity**: Buildx introduced additional complexity without providing immediate benefits
4. **Reliability Issues**: Buildx builds were less reliable in the GitHub Actions environment
### Working Solution Analysis
The working webapp CI/CD pipeline uses traditional `docker build` + `docker push` approach:
```yaml
# Working approach from webapp
- name: Build and push image to Gitea Container Registry
run: |-
docker build -t app .
docker tag app gitea.arcodange.lab/${{ github.repository }}:$TAG
docker push gitea.arcodange.lab/${{ github.repository }}:$TAG
```
This approach is simpler, more reliable, and works consistently with self-signed certificates.
## Decision
**Replace Docker Buildx with traditional docker build + push** for the CI/CD pipeline and implement a two-stage Docker build strategy.
### Implementation
#### 1. Build Cache Strategy
```yaml
# Build cache using traditional docker build
- name: Build and push Docker cache image
if: steps.check_cache.outputs.cache_hit == 'false'
run: |
IMAGE_NAME="${{ env.CI_REGISTRY }}/${{ env.GITEA_ORG }}/${{ env.GITEA_REPO }}-build-cache:${{ steps.calculate_hash.outputs.deps_hash }}"
echo "Building cache image: $IMAGE_NAME"
# Build the image using traditional docker build
docker build \
--file Dockerfile.build \
--tag "$IMAGE_NAME" \
.
# Push the image
docker push "$IMAGE_NAME"
echo "✅ Build cache image pushed successfully"
```
#### 2. Production Build Strategy
```yaml
# Production build using Dockerfile.prod
- name: Build and push Docker image
if: github.ref == 'refs/heads/main'
run: |
source VERSION
IMAGE_VERSION="$MAJOR.$MINOR.$PATCH${PRERELEASE:+-$PRERELEASE}"
TAGS="$IMAGE_VERSION latest ${{ github.sha }}"
echo "Building Docker image with tags: $TAGS"
# Use the production Dockerfile that leverages the build cache
docker build -t dance-lessons-coach -f Dockerfile.prod .
for TAG in $TAGS; do
IMAGE_NAME="${{ env.CI_REGISTRY }}/${{ env.GITEA_ORG }}/${{ env.GITEA_REPO }}:$TAG"
echo "Tagging and pushing: $IMAGE_NAME"
docker tag dance-lessons-coach "$IMAGE_NAME"
docker push "$IMAGE_NAME"
done
```
#### 3. Dockerfile Structure
**Dockerfile.build** - Build environment with all dependencies:
```dockerfile
FROM golang:1.26.1-alpine AS builder
# Install build dependencies
RUN apk add --no-cache git bash curl make gcc musl-dev bc grep sed jq ca-certificates
# Install Go tools
RUN go install github.com/swaggo/swag/cmd/swag@latest
# Copy and verify dependencies
COPY go.mod go.sum ./
RUN go mod download && go mod verify
WORKDIR /workspace
```
**Dockerfile.prod** - Minimal production image:
```dockerfile
# Use the build cache image as base
FROM gitea.arcodange.lab/arcodange/dance-lessons-coach-build-cache:latest AS builder
# Final minimal image
FROM alpine:3.18
WORKDIR /app
# Install minimal dependencies
RUN apk add --no-cache ca-certificates tzdata
# Copy binary from builder
COPY --from=builder /workspace/dance-lessons-coach /app/dance-lessons-coach
# Copy configuration
COPY config.yaml /app/config.yaml
# Set permissions and entrypoint
RUN chmod +x /app/dance-lessons-coach
ENV TZ=UTC
EXPOSE 8080
ENTRYPOINT ["/app/dance-lessons-coach"]
```
**docker/Dockerfile** - Development Dockerfile (kept for local development):
```dockerfile
# Multi-stage build for development
FROM golang:1.26.1-alpine AS builder
WORKDIR /app
COPY go.mod go.sum ./
RUN go mod download
COPY . ./
RUN go build -o /dance-lessons-coach ./cmd/server
FROM alpine:3.18
WORKDIR /app
RUN apk add --no-cache ca-certificates tzdata
COPY --from=builder /dance-lessons-coach /app/dance-lessons-coach
COPY config.yaml /app/config.yaml
RUN chmod +x /app/dance-lessons-coach
ENV TZ=UTC
EXPOSE 8080
ENTRYPOINT ["/app/dance-lessons-coach"]
```
### File Organization
All Dockerfiles are now organized in the `docker/` directory:
- `docker/Dockerfile` - Development Dockerfile
- `docker/Dockerfile.build` - Build cache Dockerfile
- `docker/Dockerfile.prod` - Production Dockerfile (development only, uses latest)
- `docker/Dockerfile.prod.template` - Template for reference
This organization keeps the root directory clean and makes it clear which files are for development vs production.
## Benefits
### CI/CD Pipeline Benefits
1. **Simplicity**: Traditional approach is easier to understand and debug
2. **Reliability**: Consistent behavior across different environments
3. **Certificate Handling**: Works seamlessly with self-signed certificates
4. **Performance**: Faster execution without Buildx overhead
5. **Compatibility**: Better compatibility with GitHub Actions environment
### Two-Stage Build Benefits
1. **Separation of Concerns**: Clear separation between build environment and production runtime
2. **Optimized Production Image**: Minimal Alpine-based image with only necessary dependencies
3. **Reusable Build Cache**: Build environment can be reused across multiple CI runs
4. **Faster CI Execution**: Pre-built build cache reduces CI execution time
5. **Consistent Builds**: All builds use the same build environment
### Development vs Production Clarity
1. **Development Dockerfile**: Full build environment for local development
2. **Production Dockerfile**: Minimal runtime environment for deployment
3. **Build Cache Dockerfile**: Optimized build environment for CI/CD
4. **Clear Documentation**: Each Dockerfile has a specific purpose
## Trade-offs
### What We Lose
1. **Multi-platform builds**: Cannot build for multiple architectures simultaneously
2. **BuildKit caching**: Less sophisticated caching mechanism
3. **Advanced features**: No secret mounting, SSH agents, etc.
4. **Parallel processing**: Slower builds without Buildx optimizations
### What We Gain
1. **Stability**: More reliable CI/CD pipeline
2. **Simplicity**: Easier to maintain and troubleshoot
3. **Consistency**: Matches proven patterns from working projects
4. **Faster feedback**: Quicker build times in practice
5. **Clear Separation**: Better distinction between development and production builds
6. **Optimized Production**: Smaller, more secure production images
## Rationale
1. **Current Needs**: We don't need multi-platform builds or advanced BuildKit features
2. **Simple Dockerfile**: Our `Dockerfile.build` doesn't require Buildx-specific features
3. **Proven Pattern**: Traditional approach works reliably in production (webapp project)
4. **CI Stability**: Reliability is more important than advanced features for CI/CD
5. **Build Strategy**: Two-stage build provides better separation of concerns
6. **Maintenance**: Simpler approach is easier to maintain and debug
## Critical Bug Fix: Dependency Hash Usage
### Issue Identified
The initial implementation had a critical bug where `Dockerfile.prod` used `latest` tag instead of the specific dependency hash:
```dockerfile
# ❌ WRONG - this would never work
FROM gitea.arcodange.lab/arcodange/dance-lessons-coach-build-cache:latest AS builder
```
This approach would never work because:
1. The build cache images are tagged with specific dependency hashes
2. No image is ever tagged as `latest`
3. The CI/CD workflow would fail to find the cache image
### Solution Implemented
1. **Dynamic Dockerfile Generation**: The CI/CD workflow now generates `Dockerfile.prod` dynamically with the correct dependency hash
2. **Dependency Hash Calculation**: Added `scripts/calculate-deps-hash.sh` for consistent hash calculation
3. **Template Approach**: Created `Dockerfile.prod.template` for reference
### CI/CD Workflow Fix
```yaml
# ✅ CORRECT - generate Dockerfile.prod with proper hash
- name: Build and push Docker image
if: github.ref == 'refs/heads/main'
run: |
# Generate Dockerfile.prod with correct dependency hash
DEPS_HASH="${{ needs.build-cache.outputs.deps_hash }}"
# Create Dockerfile.prod with the correct cache image tag
cat > Dockerfile.prod << EOF
FROM gitea.arcodange.lab/arcodange/dance-lessons-coach-build-cache:$DEPS_HASH AS builder
# ... rest of Dockerfile
EOF
# Build using the generated Dockerfile
docker build -t dance-lessons-coach -f Dockerfile.prod .
```
## CI/CD Pipeline Optimization
### Changes Made
1. **Removed Buildx Setup**: Eliminated `docker/setup-buildx-action@v3` from CI/CD workflow
2. **Removed Go Build Steps**: Removed `actions/setup-go@v4`, `go mod tidy`, and individual Go tool installations
3. **Added Docker Cache Usage**: All build steps now use the pre-built Docker cache image
4. **Updated Production Build**: Production Docker build now generates `Dockerfile.prod` dynamically with correct dependency hash
### CI/CD Workflow Structure
```yaml
# CI Pipeline Job Structure
jobs:
build-cache:
# Builds Docker cache image if needed
# Note: No certificate configuration needed with traditional docker
ci-pipeline:
needs: build-cache
steps:
- name: Set up build environment
# Sets CACHE_IMAGE variable with proper tag
# No Buildx setup, no Go installation, no certificate configuration
- name: Generate Swagger Docs using Docker cache
# Uses: docker run ${{ env.CACHE_IMAGE }} sh -c "cd pkg/server && go generate"
- name: Build all packages using Docker cache
# Uses: docker run ${{ env.CACHE_IMAGE }} sh -c "go build ./..."
- name: Run tests with coverage using Docker cache
# Uses: docker run ${{ env.CACHE_IMAGE }} sh -c "go test ./..."
- name: Build and push Docker image
# Uses: docker build -t dance-lessons-coach -f Dockerfile.prod .
# No Buildx, no certificate issues
```
### Key Improvements
1. **Faster Execution**: No need to set up Go environment for each job
2. **Consistent Environment**: All builds use the same Docker cache image
3. **Reduced Complexity**: Simpler workflow with fewer steps
4. **Better Error Handling**: Docker cache handles dependency management
5. **No Certificate Configuration**: Traditional docker works seamlessly with self-signed certificates
6. **Improved Reliability**: Elimination of Buildx-related failures
## Future Considerations
### When to Reconsider Buildx
1. **Multi-platform needs**: If we need ARM/AMD64 builds simultaneously
2. **Complex builds**: If Dockerfile requires BuildKit-specific features
3. **Performance optimization**: If build times become unacceptable
4. **Certificate issues resolved**: If Docker Buildx improves self-signed certificate handling
### Migration Path
If we need to reintroduce Buildx in the future:
1. **Fix certificate issues properly** at the Docker daemon level
2. **Test thoroughly** in staging environment
3. **Monitor performance** impact
4. **Document benefits** clearly for the specific use case
## Alternatives Considered
### Option 1: Keep Buildx with Certificate Workaround
- ❌ Complex setup with questionable reliability
- ❌ Slow performance in GitHub Actions
- ❌ Ongoing maintenance burden
### Option 2: Use Insecure Registry Flag
```yaml
docker buildx build --allow security.insecure --push .
```
- ❌ Security concerns
- ❌ Not recommended for production
- ❌ Temporary workaround, not solution
### Option 3: Traditional Docker Build + Push ✅ **CHOSEN**
- ✅ Simple and reliable
- ✅ Proven in production
- ✅ Better performance in practice
- ✅ Easy to maintain
## Decision Outcome
**Chosen Option**: Traditional docker build + push (Option 3)
This decision prioritizes CI/CD reliability and simplicity over advanced features we don't currently need. The traditional approach has been proven to work consistently in our environment and matches the successful pattern from the webapp project.
## Success Metrics
### CI/CD Pipeline Metrics
1. **CI/CD reliability**: No TLS certificate failures
2. **Build consistency**: Predictable build times
3. **Maintenance**: Reduced complexity and debugging time
4. **Compatibility**: Works across all target environments
### Build Strategy Metrics
1. **Cache hit rate**: Percentage of CI runs using existing cache
2. **Build time reduction**: Comparison of build times with vs without cache
3. **Image size**: Production image size vs development image size
4. **CI execution time**: Total CI pipeline duration
### Quality Metrics
1. **Build reproducibility**: Consistent builds across different environments
2. **Error rate**: Reduction in CI/CD failures
3. **Recovery time**: Time to recover from cache misses
4. **Resource utilization**: Memory and CPU usage during builds
## Implementation Checklist
- [x] Create `Dockerfile.prod` for production builds
- [x] Update `Dockerfile.build` for build cache
- [x] Keep `Dockerfile` for development use
- [x] Remove Docker Buildx from CI/CD workflow
- [x] Remove Go build steps from CI/CD workflow
- [x] Remove certificate configuration step (no longer needed)
- [x] Add Docker cache usage to all build steps
- [x] Fix Dockerfile.prod to use proper dependency hash (not latest)
- [x] Create dependency hash calculation script
- [x] Create build cache environment test script
- [x] Update CI/CD workflow to generate Dockerfile.prod dynamically
- [x] Update ADR 0020 with comprehensive documentation
- [x] Test changes locally
- [x] Push changes to trigger CI/CD workflow
- [ ] Monitor workflow execution
- [ ] Verify successful completion
- [ ] Document results and metrics
## Testing and Validation
### Build Cache Environment Testing
A comprehensive test script is provided to validate the build cache environment:
```bash
# Test the build cache environment (simulates Gitea act runner)
./scripts/test-build-cache-environment.sh
```
This script tests:
1. Dependency hash calculation
2. Build cache image creation
3. Go environment inside container
4. Swagger generation
5. Go build and test
6. Binary build
7. Production Dockerfile with cache
8. Production container runtime
### Dependency Hash Calculation
```bash
# Calculate dependency hash (used for cache image tagging)
./scripts/calculate-deps-hash.sh
# Export to file for use in scripts
./scripts/calculate-deps-hash.sh deps_hash.env
source deps_hash.env
echo "Hash: $DEPS_HASH"
```
### Workflow Monitoring
```bash
# Monitor the workflow
./scripts/gitea-client.sh monitor-workflow arcodange dance-lessons-coach 420 30
# Check job status
./scripts/gitea-client.sh job-status arcodange dance-lessons-coach 420
# List workflow jobs
./scripts/gitea-client.sh list-workflow-jobs arcodange dance-lessons-coach 420
```
### Validation Commands
```bash
# Verify CI/CD changes
./scripts/verify-cicd-changes.sh
# Test new CI/CD workflow
./scripts/test-new-cicd.sh
# Check Dockerfile syntax
docker run --rm -i hadolint/hadolint < Dockerfile.prod
```
## Cleanup and Organization
### Files Removed
1. **docker-compose.cicd-test.yml**: Unused Docker Compose file
2. **scripts/cicd/**: Old CI/CD test scripts (replaced by main test scripts)
### Files Organized
All Dockerfiles moved to `docker/` directory:
- `docker/Dockerfile` - Development
- `docker/Dockerfile.build` - Build cache
- `docker/Dockerfile.prod` - Production (dev only)
- `docker/Dockerfile.prod.template` - Template
### Utility Scripts
- `scripts/calculate-deps-hash.sh` - Consistent hash calculation
- `scripts/test-local-ci-cd.sh` - Main local testing
- `scripts/test-build-cache-environment.sh` - Build cache testing
## Expected Outcomes
1. **Successful workflow execution**: Workflow completes without errors
2. **Cache image created**: Build cache image pushed to registry
3. **Production image built**: Final Docker image built using generated `docker/Dockerfile.prod`
4. **Faster CI execution**: Reduced build times compared to previous approach
5. **No certificate errors**: No TLS certificate verification failures
6. **Clean organization**: No clutter in root directory
## References
- [Docker Buildx Documentation](https://docs.docker.com/buildx/working-with-buildx/)
- [Docker Build Documentation](https://docs.docker.com/engine/reference/commandline/build/)
- [GitHub Actions Docker Examples](https://github.com/actions/starter-workflows/tree/main/ci-and-cd)
- [webapp CI/CD Pipeline](https://gitea.arcodange.fr/arcodange-org/webapp/src/branch/main/.gitea/workflows/dockerimage.yaml)
- [Docker Multi-stage Builds](https://docs.docker.com/build/building/multi-stage/)
- [Alpine Linux Docker Images](https://hub.docker.com/_/alpine)
---
**Approved by**: @arcodange
**Date**: 2026-04-07
**Updated**: 2026-04-07
**Supersedes**: None
**Superseded by**: None

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@@ -0,0 +1,471 @@
# 21. JWT Secret Retention Policy
## Status
**Proposed** 🟡
> **Note:** Basic JWT multi-secret support and graceful rotation are implemented in `pkg/jwt/jwt_secret_manager.go`. The retention cleanup policy (background job, configurable TTL factor) proposed in this ADR is **not yet implemented**.
## Context
The dance-lessons-coach application requires a robust JWT secret management system that balances security and user experience. The system supports multiple JWT secrets for graceful rotation. However, the current implementation lacks a clear policy for secret retention and cleanup.
### Current State
- ✅ Multiple JWT secrets supported
- ✅ Graceful rotation implemented
- ✅ Backward compatibility maintained
- ❌ No automatic cleanup of old secrets
- ❌ No configurable retention periods
- ❌ No expiration-based secret management
### Problem Statement
Without a retention policy:
1. **Security Risk**: Old secrets accumulate indefinitely, increasing attack surface
2. **Memory Bloat**: Unbounded growth of secret storage
3. **Operational Overhead**: Manual cleanup required
4. **Compliance Issues**: May violate security policies requiring regular key rotation
### Requirements
1. **Configurable Retention**: Administrators should control how long secrets are retained
2. **Automatic Cleanup**: System should automatically remove expired secrets
3. **Backward Compatibility**: Existing tokens should continue working during retention period
4. **Sensible Defaults**: Should work out-of-the-box with secure defaults
5. **Performance**: Cleanup should not impact runtime performance
## Decision
### JWT Secret Retention Policy
Implement a configurable retention policy based on JWT TTL (Time-To-Live) with the following components:
#### 1. Configuration Structure
```yaml
jwt:
# Token time-to-live (default: 24h)
ttl: 24h
# Secret retention configuration
secret_retention:
# Retention factor multiplier (default: 2.0)
# Retention period = JWT TTL × retention_factor
retention_factor: 2.0
# Maximum retention period (safety limit, default: 72h)
max_retention: 72h
# Cleanup frequency for expired secrets (default: 1h)
cleanup_interval: 1h
```
#### 2. Retention Period Calculation
```
retention_period = min(JWT_TTL × retention_factor, max_retention)
```
**Examples:**
- Default (24h TTL, 2.0 factor): `min(48h, 72h) = 48h`
- Short-lived tokens (1h TTL, 3.0 factor): `min(3h, 72h) = 3h`
- Long-lived tokens (72h TTL, 2.0 factor): `min(144h, 72h) = 72h`
#### 3. Secret Lifecycle
```mermaid
graph LR
A[Secret Created] --> B[Active Period]
B --> C{Retention Period}
C -->|Expired| D[Marked for Cleanup]
C -->|Valid| B
D --> E[Automatic Removal]
```
#### 4. Cleanup Process
- **Frequency**: Configurable interval (default: 1 hour)
- **Scope**: Remove secrets older than retention period
- **Safety**: Never remove current primary secret
- **Logging**: Audit trail of cleanup operations
### Implementation Strategy
#### Phase 1: Configuration Framework
1. **Extend Config Package** (`pkg/config/config.go`)
- Add JWT TTL configuration
- Add secret retention parameters
- Implement validation
2. **Environment Variables**
```bash
# JWT Token TTL
DLC_JWT_TTL=24h
# Secret Retention
DLC_JWT_SECRET_RETENTION_FACTOR=2.0
DLC_JWT_SECRET_MAX_RETENTION=72h
DLC_JWT_SECRET_CLEANUP_INTERVAL=1h
```
#### Phase 2: Secret Manager Enhancement
1. **Enhance JWTSecret Struct**
```go
type JWTSecret struct {
Secret string
IsPrimary bool
CreatedAt time.Time
ExpiresAt *time.Time // Now properly calculated
RetentionPeriod time.Duration
}
```
2. **Add Expiration Logic**
```go
func (m *JWTSecretManager) AddSecret(secret string, isPrimary bool, expiresIn time.Duration) {
// Calculate retention period based on config
retentionPeriod := m.calculateRetentionPeriod()
expiresAt := time.Now().Add(expiresIn)
m.secrets = append(m.secrets, JWTSecret{
Secret: secret,
IsPrimary: isPrimary,
CreatedAt: time.Now(),
ExpiresAt: &expiresAt,
RetentionPeriod: retentionPeriod,
})
}
```
#### Phase 3: Automatic Cleanup
1. **Background Cleanup Job**
```go
func (m *JWTSecretManager) StartCleanupJob(ctx context.Context, interval time.Duration) {
ticker := time.NewTicker(interval)
go func() {
for {
select {
case <-ticker.C:
m.CleanupExpiredSecrets()
case <-ctx.Done():
ticker.Stop()
return
}
}
}()
}
```
2. **Cleanup Implementation**
```go
func (m *JWTSecretManager) CleanupExpiredSecrets() {
now := time.Now()
var activeSecrets []JWTSecret
for _, secret := range m.secrets {
if secret.IsPrimary {
// Never remove current primary
activeSecrets = append(activeSecrets, secret)
continue
}
// Check if secret is within retention period
if now.Sub(secret.CreatedAt) <= secret.RetentionPeriod {
activeSecrets = append(activeSecrets, secret)
} else {
log.Info().
Str("secret", secret.Secret).
Msg("Removed expired JWT secret")
}
}
m.secrets = activeSecrets
}
```
#### Phase 4: Integration
1. **Server Initialization**
```go
func (s *Server) InitializeJWT() error {
// Load config
jwtConfig := s.config.GetJWTConfig()
// Create secret manager with retention policy
secretManager := NewJWTSecretManager(
jwtConfig.Secret,
WithRetentionFactor(jwtConfig.RetentionFactor),
WithMaxRetention(jwtConfig.MaxRetention),
)
// Start cleanup job
secretManager.StartCleanupJob(s.ctx, jwtConfig.CleanupInterval)
return nil
}
```
### Validation
#### 1. Configuration Validation
```go
func (c *Config) ValidateJWTConfig() error {
if c.JWT.TTL <= 0 {
return fmt.Errorf("jwt.ttl must be positive")
}
if c.JWT.SecretRetention.RetentionFactor < 1.0 {
return fmt.Errorf("jwt.secret_retention.retention_factor must be ≥ 1.0")
}
if c.JWT.SecretRetention.MaxRetention <= 0 {
return fmt.Errorf("jwt.secret_retention.max_retention must be positive")
}
if c.JWT.SecretRetention.CleanupInterval <= 0 {
return fmt.Errorf("jwt.secret_retention.cleanup_interval must be positive")
}
// Ensure max retention is reasonable
if c.JWT.SecretRetention.MaxRetention > 720h { // 30 days
return fmt.Errorf("jwt.secret_retention.max_retention exceeds maximum of 720h")
}
return nil
}
```
#### 2. Runtime Validation
```go
func (m *JWTSecretManager) ValidateSecret(secret string) error {
// Check minimum length
if len(secret) < 16 {
return fmt.Errorf("jwt secret must be at least 16 characters")
}
// Check entropy (basic check)
if !hasSufficientEntropy(secret) {
return fmt.Errorf("jwt secret must have sufficient entropy")
}
return nil
}
```
### Monitoring and Observability
#### 1. Metrics
```go
// Prometheus metrics
var (
jwtSecretsActive = prometheus.NewGauge(prometheus.GaugeOpts{
Name: "jwt_secrets_active_count",
Help: "Number of active JWT secrets",
})
jwtSecretsExpired = prometheus.NewCounter(prometheus.CounterOpts{
Name: "jwt_secrets_expired_total",
Help: "Total number of expired JWT secrets removed",
})
jwtSecretRetentionDuration = prometheus.NewHistogram(prometheus.HistogramOpts{
Name: "jwt_secret_retention_duration_seconds",
Help: "Duration of JWT secret retention periods",
Buckets: prometheus.ExponentialBuckets(3600, 2, 6), // 1h to 32h
})
)
```
#### 2. Logging
```go
func (m *JWTSecretManager) logSecretEvent(secret string, event string, details ...interface{}) {
log.Info().
Str("secret", maskSecret(secret)).
Str("event", event).
Interface("details", details).
Msg("JWT secret event")
}
func maskSecret(secret string) string {
if len(secret) <= 4 {
return "****"
}
return secret[:4] + "****" + secret[len(secret)-4:]
}
```
## Consequences
### Positive
1. **Enhanced Security**: Automatic cleanup reduces attack surface
2. **Reduced Memory Usage**: Prevents unbounded growth of secret storage
3. **Operational Efficiency**: No manual cleanup required
4. **Compliance Ready**: Meets security policy requirements for key rotation
5. **Flexibility**: Configurable to meet different security requirements
### Negative
1. **Complexity**: Adds configuration and cleanup logic
2. **Performance Overhead**: Background cleanup job (minimal impact)
3. **Migration**: Existing deployments need configuration updates
4. **Debugging**: More moving parts to troubleshoot
### Neutral
1. **Backward Compatibility**: Existing tokens continue to work
2. **Learning Curve**: New configuration options to understand
3. **Monitoring**: Additional metrics to track
## Alternatives Considered
### Alternative 1: Fixed Retention Period
**Proposal**: Use fixed retention period (e.g., 48 hours) instead of TTL-based calculation
**Rejected Because**:
- Less flexible for different use cases
- Doesn't scale with JWT TTL changes
- May be too short for long-lived tokens or too long for short-lived ones
### Alternative 2: Manual Cleanup Only
**Proposal**: Require administrators to manually clean up old secrets
**Rejected Because**:
- Operational overhead
- Security risk if cleanup is forgotten
- Doesn't scale for frequent rotations
### Alternative 3: No Retention (Current State)
**Proposal**: Keep current behavior with no automatic cleanup
**Rejected Because**:
- Security concerns with accumulating secrets
- Memory management issues
- Compliance violations
## Success Metrics
1. **Security**: No old secrets remain beyond retention period
2. **Reliability**: 99.9% of valid tokens continue to work during rotation
3. **Performance**: Cleanup job completes in <100ms with <1000 secrets
4. **Adoption**: Configuration used in 100% of deployments within 3 months
## Migration Plan
### Phase 1: Preparation (1 week)
- ✅ Create this ADR
- ✅ Update documentation
- ✅ Add configuration to config package
- ✅ Implement basic retention logic
### Phase 2: Testing (2 weeks)
- ✅ Write BDD scenarios for retention
- ✅ Add unit tests for secret manager
- ✅ Test with various TTL/factor combinations
- ✅ Performance testing with large secret counts
### Phase 3: Rollout (1 week)
- ✅ Update default configuration
- ✅ Add feature flag for gradual rollout
- ✅ Monitor metrics in staging
- ✅ Gradual production rollout
### Phase 4: Optimization (Ongoing)
- ✅ Monitor cleanup performance
- ✅ Adjust defaults based on real-world usage
- ✅ Add alerts for cleanup failures
- ✅ Document troubleshooting guide
## References
- [ADR-0008: BDD Testing](0008-bdd-testing.md)
- [ADR-0018: User Management and Auth System](0018-user-management-auth-system.md)
- [RFC 7519: JSON Web Tokens](https://tools.ietf.org/html/rfc7519)
- [OWASP Key Management Cheat Sheet](https://cheatsheetseries.owasp.org/cheatsheets/Key_Management_Cheat_Sheet.html)
## Appendix
### Configuration Examples
**Development Environment** (short retention for testing):
```yaml
jwt:
ttl: 1h
secret_retention:
retention_factor: 1.5
max_retention: 3h
cleanup_interval: 30m
```
**Production Environment** (secure defaults):
```yaml
jwt:
ttl: 24h
secret_retention:
retention_factor: 2.0
max_retention: 72h
cleanup_interval: 1h
```
**High-Security Environment** (aggressive rotation):
```yaml
jwt:
ttl: 8h
secret_retention:
retention_factor: 1.5
max_retention: 24h
cleanup_interval: 30m
```
### Troubleshooting
**Issue**: Secrets being removed too quickly
- **Check**: Retention factor and JWT TTL settings
- **Fix**: Increase retention_factor or JWT TTL
**Issue**: Too many old secrets accumulating
- **Check**: Cleanup job logs and interval
- **Fix**: Decrease cleanup_interval or retention_factor
**Issue**: Performance degradation during cleanup
- **Check**: Number of secrets and cleanup frequency
- **Fix**: Optimize cleanup algorithm or increase interval
### FAQ
**Q: What happens to tokens signed with expired secrets?**
A: Tokens signed with expired secrets will be rejected during validation, requiring users to re-authenticate.
**Q: Can I disable automatic cleanup?**
A: Yes, set `cleanup_interval` to a very high value (e.g., `8760h` for 1 year).
**Q: How does this affect existing deployments?**
A: Existing deployments will use sensible defaults. The feature is backward compatible.
**Q: What's the recommended retention factor?**
A: Start with 2.0 (2× JWT TTL) and adjust based on your security requirements and user experience needs.
**Q: How often should cleanup run?**
A: For most deployments, every 1 hour is sufficient. High-volume systems may need more frequent cleanup.
## Decision Record
**Approved By**:
**Approved Date**:
**Implemented By**:
**Implementation Date**:
---
*Generated by Mistral Vibe*
*Co-Authored-By: Mistral Vibe <vibe@mistral.ai>*

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@@ -0,0 +1,538 @@
# ADR 0022: Rate Limiting and Cache Strategy
## Status
**Proposed** 🟡
> **⚠️ Not yet implemented.** Gitea issue #13 ("feat: Implement Rate Limiting and Caching Strategy") is open and tracks this work. `go-cache`, `redis`, and `ulule/limiter` are absent from `go.mod`. The phase checkboxes below are corrected to reflect actual status.
## Context
As the dance-lessons-coach application grows and potentially serves multiple users simultaneously, we need to implement rate limiting to:
1. **Prevent abuse** of API endpoints
2. **Protect against DDoS attacks**
3. **Ensure fair usage** across all users
4. **Maintain system stability** under load
5. **Provide consistent performance**
Additionally, we need a caching strategy to:
1. **Reduce database load** for frequently accessed data
2. **Improve response times** for common requests
3. **Support horizontal scaling** with shared cache
4. **Handle cache invalidation** properly
## Decision
We will implement a **multi-phase caching and rate limiting strategy** with the following components:
### Phase 1: In-Memory Cache with TTL Support
**Library Selection**: We will use **`github.com/patrickmn/go-cache`** for in-memory caching because:
**Pros:**
- Simple, lightweight, and well-maintained
- Built-in TTL (Time-To-Live) support
- Thread-safe by default
- No external dependencies
- Good performance for single-instance applications
- Supports automatic expiration
**Cons:**
- Not shared between multiple instances
- Memory-bound (not persistent)
- Limited advanced features
**Implementation Plan:**
```go
type CacheService interface {
Set(key string, value interface{}, expiration time.Duration) error
Get(key string) (interface{}, bool)
Delete(key string) error
Flush() error
GetWithTTL(key string) (interface{}, time.Duration, bool)
}
type InMemoryCacheService struct {
cache *cache.Cache
defaultTTL time.Duration
cleanupInterval time.Duration
}
```
**Use Cases:**
- JWT token validation results
- User session data
- Frequently accessed greet messages
- API response caching for idempotent endpoints
### Phase 2: Redis-Compatible Shared Cache
**Library Selection**: We will use **`github.com/redis/go-redis/v9`** with a **Redis-compatible open-source alternative**:
**Primary Choice**: **Dragonfly** (https://www.dragonflydb.io/)
- Redis-compatible
- Open-source (Apache 2.0 license)
- Written in C++ with multi-threaded architecture
- 25x higher throughput than Redis
- Lower latency
- Drop-in Redis replacement
**Fallback Choice**: **KeyDB** (https://keydb.dev/)
- Multi-threaded Redis fork
- Open-source (GPL license)
- Better performance than Redis
- Full Redis API compatibility
**Implementation Plan:**
```go
type RedisCacheService struct {
client *redis.Client
defaultTTL time.Duration
prefix string
}
func NewRedisCacheService(config *config.CacheConfig) (*RedisCacheService, error) {
client := redis.NewClient(&redis.Options{
Addr: config.Host + ":" + strconv.Itoa(config.Port),
Password: config.Password,
DB: config.Database,
PoolSize: config.PoolSize,
})
// Test connection
_, err := client.Ping(context.Background()).Result()
if err != nil {
return nil, fmt.Errorf("failed to connect to Redis: %w", err)
}
return &RedisCacheService{
client: client,
defaultTTL: config.DefaultTTL,
prefix: config.Prefix,
}, nil
}
```
**Configuration:**
```yaml
cache:
# In-memory cache configuration
in_memory:
enabled: true
default_ttl: 5m
cleanup_interval: 10m
max_items: 10000
# Redis-compatible cache configuration
redis:
enabled: false
host: "localhost"
port: 6379
password: ""
database: 0
pool_size: 10
default_ttl: 5m
prefix: "dlc:"
use_dragonfly: true # Set to false to use KeyDB
```
### Phase 3: Rate Limiting Implementation
**Library Selection**: We will use **`github.com/ulule/limiter/v3`** because:
**Pros:**
- Multiple storage backends (in-memory, Redis, etc.)
- Sliding window algorithm
- Distributed rate limiting support
- Configurable rate limits
- Middleware support for Chi router
- Good performance
**Implementation Plan:**
```go
// Rate limit configuration
type RateLimitConfig struct {
Enabled bool `mapstructure:"enabled"`
RequestsPerHour int `mapstructure:"requests_per_hour"`
BurstLimit int `mapstructure:"burst_limit"`
IPWhitelist []string `mapstructure:"ip_whitelist"`
EndpointSpecific map[string]struct {
RequestsPerHour int `mapstructure:"requests_per_hour"`
BurstLimit int `mapstructure:"burst_limit"`
} `mapstructure:"endpoint_specific"`
}
// Rate limiter service
type RateLimiterService struct {
limiter *limiter.Limiter
store limiter.Store
config *RateLimitConfig
}
func NewRateLimiterService(config *RateLimitConfig) (*RateLimiterService, error) {
var store limiter.Store
// Use Redis if available, otherwise use in-memory
if config.UseRedis {
// Initialize Redis store
store, err = limiter.NewStoreRedisWithOptions(&limiter.StoreOptions{
Prefix: config.RedisPrefix,
// ... other Redis options
})
} else {
// Use in-memory store
store = limiter.NewStoreMemory()
}
if err != nil {
return nil, fmt.Errorf("failed to create rate limiter store: %w", err)
}
// Create rate limiter
rate := limiter.Rate{
Period: time.Hour,
Limit: int64(config.RequestsPerHour),
}
return &RateLimiterService{
limiter: limiter.New(store, rate),
store: store,
config: config,
}, nil
}
```
**Chi Middleware:**
```go
func RateLimitMiddleware(limiter *RateLimiterService) func(http.Handler) http.Handler {
return func(next http.Handler) http.Handler {
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
// Skip rate limiting for whitelisted IPs
clientIP := r.Header.Get("X-Real-IP")
if clientIP == "" {
clientIP = r.RemoteAddr
}
for _, allowedIP := range limiter.config.IPWhitelist {
if clientIP == allowedIP {
next.ServeHTTP(w, r)
return
}
}
// Get rate limit context
context, err := limiter.limiter.Get(r.Context(), clientIP)
if err != nil {
log.Error().Err(err).Str("ip", clientIP).Msg("Rate limit error")
http.Error(w, "Internal server error", http.StatusInternalServerError)
return
}
// Check if rate limit is exceeded
if context.Reached > 0 {
w.Header().Set("X-RateLimit-Limit", strconv.Itoa(limiter.config.RequestsPerHour))
w.Header().Set("X-RateLimit-Remaining", "0")
w.Header().Set("X-RateLimit-Reset", strconv.Itoa(int(context.Reset)))
http.Error(w, "Too many requests", http.StatusTooManyRequests)
return
}
// Set rate limit headers
w.Header().Set("X-RateLimit-Limit", strconv.Itoa(limiter.config.RequestsPerHour))
w.Header().Set("X-RateLimit-Remaining", strconv.Itoa(limiter.config.RequestsPerHour-int(context.Reached)))
w.Header().Set("X-RateLimit-Reset", strconv.Itoa(int(context.Reset)))
next.ServeHTTP(w, r)
})
}
}
```
### Phase 4: Cache Invalidation Strategy
**Approach**: Hybrid cache invalidation with multiple strategies:
1. **Time-Based Expiration (TTL)**
- All cache entries have a TTL
- Automatic expiration prevents stale data
- Default TTL: 5 minutes for most data
2. **Event-Based Invalidation**
- Cache keys are invalidated on specific events
- Example: User data cache invalidated on user update
- Uses pub/sub pattern for distributed invalidation
3. **Versioned Cache Keys**
- Cache keys include data version
- When data changes, version increments
- Old cache entries naturally expire
4. **Write-Through Caching**
- Data written to database and cache simultaneously
- Ensures cache is always up-to-date
- Used for critical data that must be consistent
**Cache Key Strategy:**
```go
func GetCacheKey(prefix, entityType, entityID string) string {
return fmt.Sprintf("%s:%s:%s", prefix, entityType, entityID)
}
// Example: "dlc:user:123"
// Example: "dlc:jwt:validation:token_hash"
```
## Implementation Phases
### Phase 1: In-Memory Cache (Current Sprint)
- ❌ Research and select in-memory cache library
- ❌ Implement cache interface and in-memory service
- ❌ Add cache configuration to config package
- ❌ Implement basic cache operations (set, get, delete)
- ❌ Add TTL support and automatic cleanup
- ❌ Cache JWT validation results
- ❌ Add cache metrics and monitoring
### Phase 2: Redis-Compatible Cache (Next Sprint)
- ❌ Set up Dragonfly/KeyDB in development environment
- ❌ Implement Redis cache service
- ❌ Add configuration for Redis connection
- ❌ Implement cache fallback strategy (Redis → in-memory)
- ❌ Add health checks for Redis connection
- ❌ Implement distributed cache invalidation
### Phase 3: Rate Limiting (Following Sprint)
- ❌ Research and select rate limiting library
- ❌ Implement rate limiter service
- ❌ Add rate limit configuration
- ❌ Implement Chi middleware for rate limiting
- ❌ Add rate limit headers to responses
- ❌ Implement IP whitelisting
- ❌ Add endpoint-specific rate limits
### Phase 4: Advanced Features (Future)
- ❌ Cache warming for critical data
- ❌ Two-level caching (Redis + in-memory)
- ❌ Cache compression for large objects
- ❌ Rate limit exemptions for admin users
- ❌ Dynamic rate limit adjustment
- ❌ Cache analytics and usage patterns
## Configuration
```yaml
# Cache configuration
cache:
in_memory:
enabled: true
default_ttl: "5m"
cleanup_interval: "10m"
max_items: 10000
redis:
enabled: false
host: "localhost"
port: 6379
password: ""
database: 0
pool_size: 10
default_ttl: "5m"
prefix: "dlc:"
use_dragonfly: true
# Rate limiting configuration
rate_limiting:
enabled: true
requests_per_hour: 1000
burst_limit: 100
ip_whitelist:
- "127.0.0.1"
- "::1"
endpoint_specific:
"/api/v1/auth/login":
requests_per_hour: 100
burst_limit: 10
"/api/v1/auth/register":
requests_per_hour: 50
burst_limit: 5
```
## Monitoring and Metrics
**Cache Metrics:**
- Cache hit/miss ratio
- Average cache latency
- Cache size and memory usage
- Eviction rate
- TTL distribution
**Rate Limit Metrics:**
- Requests allowed vs rejected
- Rate limit exceeded events
- Top limited IPs
- Endpoint-specific rate limit usage
**Prometheus Metrics:**
```go
var (
cacheHits = prometheus.NewCounterVec(prometheus.CounterOpts{
Name: "cache_hits_total",
Help: "Number of cache hits",
}, []string{"cache_type", "entity_type"})
cacheMisses = prometheus.NewCounterVec(prometheus.CounterOpts{
Name: "cache_misses_total",
Help: "Number of cache misses",
}, []string{"cache_type", "entity_type"})
rateLimitExceeded = prometheus.NewCounterVec(prometheus.CounterOpts{
Name: "rate_limit_exceeded_total",
Help: "Number of rate limit exceeded events",
}, []string{"endpoint", "ip"})
)
```
## Security Considerations
1. **Cache Security:**
- Never cache sensitive user data (passwords, tokens)
- Use separate cache prefixes for different data types
- Implement cache key hashing for sensitive data
- Set appropriate TTLs to limit exposure
2. **Rate Limit Security:**
- Prevent rate limit bypass attacks
- Use X-Real-IP header for proper IP detection
- Implement rate limit for authentication endpoints
- Log rate limit violations for security monitoring
3. **Redis Security:**
- Use authentication if enabled
- Implement TLS for Redis connections
- Use separate database numbers for different environments
- Limit Redis commands to prevent abuse
## Performance Considerations
1. **Cache Performance:**
- Benchmark cache operations
- Monitor cache latency
- Optimize cache key size
- Use appropriate data structures
2. **Rate Limit Performance:**
- Use efficient rate limiting algorithm
- Minimize middleware overhead
- Cache rate limit decisions
- Batch rate limit checks where possible
3. **Memory Management:**
- Set reasonable cache size limits
- Monitor memory usage
- Implement cache eviction policies
- Use memory-efficient data structures
## Migration Strategy
### From No Cache to In-Memory Cache
1. Implement cache interface and in-memory service
2. Add cache configuration with sensible defaults
3. Gradually add caching to critical endpoints
4. Monitor cache performance and hit ratios
5. Adjust TTLs based on usage patterns
### From In-Memory to Redis Cache
1. Set up Dragonfly/KeyDB in development
2. Implement Redis cache service
3. Add fallback logic (Redis → in-memory)
4. Test with both caches enabled
5. Gradually migrate to Redis-only
6. Monitor distributed cache performance
### From No Rate Limiting to Rate Limiting
1. Implement rate limiter with generous limits
2. Add monitoring for rate limit events
3. Gradually tighten limits based on usage
4. Add IP whitelist for critical services
5. Implement endpoint-specific limits
6. Monitor and adjust as needed
## Alternatives Considered
### Cache Libraries
1. **`github.com/bluele/gcache`** - More features but more complex
2. **`github.com/allegro/bigcache`** - High performance but no TTL
3. **`github.com/coocood/freecache`** - Very fast but limited API
### Redis Alternatives
1. **Redis Enterprise** - Commercial, not open-source
2. **Memcached** - No persistence, simpler protocol
3. **Couchbase** - More complex, document-oriented
### Rate Limiting Libraries
1. **`golang.org/x/time/rate`** - Simple but no distributed support
2. **`github.com/juju/ratelimit`** - Good but limited features
3. **Custom implementation** - Too much development effort
## Success Metrics
1. **Cache Effectiveness:**
- Cache hit ratio > 80%
- Average cache latency < 1ms
- Memory usage within limits
2. **Rate Limiting Effectiveness:**
- < 1% of legitimate requests blocked
- Effective protection against abuse
- No impact on normal usage patterns
3. **System Stability:**
- Reduced database load by 50%
- Consistent response times under load
- No cache-related outages
## Risks and Mitigations
| Risk | Mitigation |
|------|------------|
| Cache stampede | Implement cache warming and fallback logic |
| Memory exhaustion | Set reasonable cache size limits and monitor usage |
| Redis failure | Implement fallback to in-memory cache |
| Rate limit false positives | Start with generous limits and monitor |
| Performance degradation | Benchmark before and after implementation |
| Cache inconsistency | Use appropriate invalidation strategies |
## Future Enhancements
1. **Cache Pre-warming** - Load frequently used data at startup
2. **Two-Level Caching** - Local cache + distributed cache
3. **Cache Compression** - For large cache objects
4. **Dynamic Rate Limits** - Adjust based on system load
5. **User-Specific Rate Limits** - Different limits for different user tiers
6. **Cache Analytics** - Detailed usage patterns and optimization
## References
- [go-cache documentation](https://github.com/patrickmn/go-cache)
- [Dragonfly documentation](https://www.dragonflydb.io/docs)
- [KeyDB documentation](https://keydb.dev/)
- [limiter/v3 documentation](https://github.com/ulule/limiter)
- [Chi middleware documentation](https://github.com/go-chi/chi)
## Decision Drivers
1. **Simplicity** - Easy to implement and maintain
2. **Performance** - Minimal impact on response times
3. **Scalability** - Support for horizontal scaling
4. **Reliability** - Graceful degradation on failures
5. **Open Source** - Preference for open-source solutions
6. **Community** - Active development and support
## Conclusion
This ADR proposes a comprehensive caching and rate limiting strategy that will significantly improve the performance, scalability, and reliability of the dance-lessons-coach application. The phased approach allows for gradual implementation and testing, minimizing risk while delivering value at each stage.
The combination of in-memory caching for single-instance deployments and Redis-compatible caching for distributed environments provides flexibility for different deployment scenarios. The rate limiting implementation will protect the application from abuse while maintaining a good user experience.
This strategy aligns with our architectural principles of simplicity, performance, and scalability while using well-established open-source technologies with strong community support.

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# Config Hot Reloading Strategy
* Status: Proposed
* Deciders: Gabriel Radureau, AI Agent
* Date: 2026-04-05
> **⚠️ Not yet implemented.** No `ConfigManager` exists in `pkg/config/` and Viper's `WatchConfig()` is not wired up. However, `features/config/config_hot_reloading.feature` has been written — BDD scenarios exist for a feature that is not yet built. Those tests are expected to fail until implementation begins.
## Context and Problem Statement
The dance-lessons-coach application currently loads configuration once at startup using Viper, which supports file-based configuration, environment variables, and defaults. However, the current implementation does not support runtime configuration changes without restarting the application.
We need to determine whether and how to implement config hot reloading - the ability to detect changes to the optional `config.yaml` file and apply those changes without requiring a full application restart.
## Decision Drivers
* **Development convenience**: Hot reloading would allow developers to change configuration without restarting the server during development
* **Production flexibility**: Ability to adjust certain configuration parameters without downtime
* **Complexity**: Hot reloading adds significant complexity to the codebase
* **Safety**: Some configuration changes require careful handling to avoid runtime errors
* **Viper capabilities**: Viper already supports file watching through `viper.WatchConfig()`
* **Configuration scope**: Not all configuration parameters can or should be hot-reloaded
## Considered Options
### Option 1: Full Hot Reloading with Viper WatchConfig
Implement comprehensive hot reloading using Viper's built-in `WatchConfig()` functionality to monitor the config file and automatically reload when changes are detected.
### Option 2: Selective Hot Reloading
Only allow hot reloading for specific configuration sections that are safe to change at runtime (e.g., logging level, feature flags) while requiring restart for others (e.g., server host/port, database credentials).
### Option 3: Manual Reload Endpoint
Add an admin endpoint (e.g., `POST /api/admin/reload-config`) that triggers configuration reload when called, giving explicit control over when reloading happens.
### Option 4: No Hot Reloading
Maintain the current approach of loading configuration only at startup, requiring application restart for any configuration changes.
## Decision Outcome
Chosen option: **"Selective Hot Reloading"** because it provides the benefits of runtime configuration changes while maintaining safety and control. This approach:
* Allows safe configuration changes without restart
* Prevents dangerous runtime changes to critical parameters
* Leverages Viper's existing capabilities
* Provides a clear boundary between hot-reloadable and non-hot-reloadable settings
## Implementation Strategy
### Hot-Reloadable Configuration
The following configuration parameters will support hot reloading:
* **Logging level** (`logging.level`)
* **Feature flags** (`api.v2_enabled`)
* **Telemetry sampling** (`telemetry.sampler.type`, `telemetry.sampler.ratio`)
* **JWT TTL** (`auth.jwt.ttl`)
### Non-Hot-Reloadable Configuration
These parameters will require application restart:
* **Server settings** (`server.host`, `server.port`)
* **Database credentials** (`database.*`)
* **JWT secret** (`auth.jwt_secret`)
* **Admin credentials** (`auth.admin_master_password`)
### Implementation Plan
```go
// Add to config package
type ConfigManager struct {
config *Config
viper *viper.Viper
changeChan chan struct{}
stopChan chan struct{}
}
func NewConfigManager() (*ConfigManager, error) {
// Initialize Viper and load initial config
// Start file watcher if config file exists
}
func (cm *ConfigManager) StartWatching() {
if cm.viper != nil {
cm.viper.WatchConfig()
cm.viper.OnConfigChange(func(e fsnotify.Event) {
cm.handleConfigChange()
})
}
}
func (cm *ConfigManager) handleConfigChange() {
// Reload only safe configuration sections
// Update logging level if changed
// Update feature flags if changed
// Notify other components of changes
log.Info().Msg("Configuration reloaded (partial)")
}
// Safe getter methods that work with hot reloading
func (cm *ConfigManager) GetLogLevel() string {
// Return current value, potentially updated via hot reload
}
```
### Configuration File Monitoring
```go
// In main application setup
func main() {
configManager, err := config.NewConfigManager()
if err != nil {
log.Fatal().Err(err).Msg("Failed to initialize config")
}
// Start watching for config changes
configManager.StartWatching()
// Use configManager throughout application instead of direct config access
}
```
## Pros and Cons of the Options
### Option 1: Full Hot Reloading with Viper WatchConfig
* **Good**: Maximum flexibility for configuration changes
* **Good**: Leverages Viper's built-in capabilities
* **Good**: Good for development workflow
* **Bad**: High risk of runtime errors from unsafe changes
* **Bad**: Complex to implement safely
* **Bad**: Hard to debug configuration-related issues
### Option 2: Selective Hot Reloading (Chosen)
* **Good**: Safe approach with clear boundaries
* **Good**: Balances flexibility and stability
* **Good**: Easier to implement and maintain
* **Good**: Clear documentation of what can be changed
* **Bad**: More complex than no hot reloading
* **Bad**: Requires careful design of config access patterns
### Option 3: Manual Reload Endpoint
* **Good**: Explicit control over when reloading happens
* **Good**: Can be secured with authentication
* **Good**: Good for production environments
* **Bad**: Less convenient for development
* **Bad**: Requires additional API endpoint management
* **Bad**: Still needs same safety considerations as automatic reloading
### Option 4: No Hot Reloading
* **Good**: Simplest approach
* **Good**: No risk of runtime configuration errors
* **Good**: Easier to reason about application state
* **Bad**: Requires restart for any configuration change
* **Bad**: Less flexible for production adjustments
* **Bad**: Slower development iteration
## Configuration Change Handling
### Safe Change Pattern
```go
// Example: Logging level change
func (cm *ConfigManager) handleConfigChange() {
// Get new config values
newConfig := &Config{}
if err := cm.viper.Unmarshal(newConfig); err != nil {
log.Error().Err(err).Msg("Failed to unmarshal new config")
return
}
// Apply safe changes
if newConfig.Logging.Level != cm.config.Logging.Level {
if err := cm.applyLogLevelChange(newConfig.Logging.Level); err != nil {
log.Error().Err(err).Msg("Failed to apply log level change")
}
}
// Update other safe parameters...
}
func (cm *ConfigManager) applyLogLevelChange(newLevel string) error {
// Validate new level
level := parseLogLevel(newLevel)
// Apply change
zerolog.SetGlobalLevel(level)
cm.config.Logging.Level = newLevel
log.Info().Str("new_level", newLevel).Msg("Log level updated")
return nil
}
```
### Error Handling
* Invalid configuration changes are logged but don't crash the application
* Failed changes revert to previous known-good values
* Critical errors during reload trigger application shutdown
* All changes are logged for audit purposes
## Links
* [Viper WatchConfig Documentation](https://github.com/spf13/viper#watching-and-re-reading-config-files)
* [Viper OnConfigChange](https://github.com/spf13/viper#example-of-watching-a-config-file)
* [ADR-0006: Configuration Management](0006-configuration-management.md)
## Configuration File Example with Hot-Reloadable Settings
```yaml
# config.yaml - These settings can be hot-reloaded
server:
host: "0.0.0.0"
port: 8080
logging:
level: "info" # Can be changed without restart
json: false
output: ""
api:
v2_enabled: false # Can be changed without restart
telemetry:
enabled: false
sampler:
type: "parentbased_always_on" # Can be changed without restart
ratio: 1.0
```
## Migration Plan
1. **Phase 1**: Implement ConfigManager wrapper around existing config
2. **Phase 2**: Add selective hot reloading for logging level
3. **Phase 3**: Extend to feature flags and telemetry settings
4. **Phase 4**: Add documentation and examples
5. **Phase 5**: Update all components to use ConfigManager instead of direct config access
## Monitoring and Observability
* Log all configuration changes with timestamps
* Include previous and new values in change logs
* Add metrics for configuration reload events
* Provide admin endpoint to view current configuration
## Security Considerations
* Config file permissions should be restrictive
* Hot reloading should be disabled in production by default
* Configuration changes should be audited
* Sensitive parameters should never be hot-reloadable
## Future Enhancements
* Configuration change webhooks
* Configuration versioning and rollback
* Configuration validation before applying changes
* Multi-file configuration support

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# ADR 0024: BDD Test Organization and Isolation Strategy
## Status
**Accepted** ✅
## Context
As the dance-lessons-coach project grows, our BDD test suite has encountered several challenges. While we initially followed basic Godog patterns, we need to evolve our organization to handle complex scenarios like config hot reloading while maintaining test reliability.
### Current Issues
1. **Test Interdependence**: Tests affect each other through shared state (config files, database)
2. **Timing Issues**: Config reloading and server restarts cause race conditions
3. **Cognitive Load**: Large test files with many scenarios are hard to maintain
4. **Flaky Tests**: Tests pass individually but fail when run together
5. **Edge Case Handling**: Special setup/teardown requirements for certain tests
### Godog Best Practices Alignment
According to [Godog documentation](https://github.com/cucumber/godog) and community best practices, our current organization partially follows recommendations but needs improvement in:
- **Feature Granularity**: Some files contain multiple unrelated features
- **Step Organization**: Steps could be better grouped by domain
- **Context Management**: Need better state isolation between scenarios
- **Tagging Strategy**: Currently missing tag-based test selection
## Decision
Adopt a **modular, isolated test suite architecture** with the following principles:
### 1. Test Organization by Feature (Godog-Aligned)
Following [Godog best practices](https://github.com/cucumber/godog), we organize tests by business domain with proper feature granularity:
```
features/
├── auth/ # Business domain
│ ├── authentication.feature # Single feature per file
│ ├── password_reset.feature # Single feature per file
│ └── user_management.feature # Single feature per file
├── config/ # Business domain
│ ├── hot_reloading.feature # Single feature per file
│ └── validation.feature # Single feature per file
├── greet/ # Business domain
│ ├── v1_greeting.feature # Single feature per file
│ └── v2_greeting.feature # Single feature per file
├── health/ # Business domain
│ └── health_check.feature # Single feature per file
└── jwt/ # Business domain
├── secret_rotation.feature # Single feature per file
└── retention_policy.feature # Single feature per file
```
**Key Improvements over current structure:**
-**Single responsibility**: One feature per file
-**Business alignment**: Grouped by domain, not technical concerns
-**Scalability**: Easy to add new features without bloating files
### 2. Isolation Strategies
#### A. Config File Isolation
- Each feature directory has its own config file pattern
- Config files are cleaned up after each feature test run
- Example: `features/auth/auth-test-config.yaml`
#### B. Database Isolation
- Use separate database schemas or suffixes per feature
- Example: `dance_lessons_coach_auth_test`, `dance_lessons_coach_greet_test`
#### C. Server Port Isolation
- Assign different ports to different test groups
- Prevents port conflicts during parallel testing
### 3. Test Execution Strategy
#### Option 1: Sequential Feature Testing (Recommended)
```bash
# Run tests by feature group
./scripts/test-feature.sh auth
./scripts/test-feature.sh config
./scripts/test-feature.sh greet
```
#### Option 2: Parallel Feature Testing (Advanced)
```bash
# Run features in parallel with isolation
./scripts/test-all-features-parallel.sh
```
### 4. Test Synchronization (Godog Best Practices)
#### A. Explicit Waits with Timeouts
Following Godog's [arrange-act-assert pattern](https://alicegg.tech/2019/03/09/gobdd.html):
```go
// Instead of fixed sleep times
func waitForServerReady(maxAttempts int, delay time.Duration) error {
for i := 0; i < maxAttempts; i++ {
if serverIsReady() {
return nil
}
time.Sleep(delay)
}
return fmt.Errorf("server not ready after %d attempts", maxAttempts)
}
```
#### B. Godog Context Management
Implement proper context structs as recommended by Godog:
```go
// Feature-specific context for isolation
type AuthContext struct {
client *testserver.Client
db *sql.DB
users map[string]UserData
}
func InitializeAuthContext() *AuthContext {
return &AuthContext{
client: testserver.NewClient(),
db: connectToFeatureDB("auth"),
users: make(map[string]UserData),
}
}
func CleanupAuthContext(ctx *AuthContext) {
// Cleanup resources
ctx.db.Close()
}
```
#### C. Tag-Based Test Selection
Add Godog tag support for selective test execution:
```go
// In feature files
@smoke @auth
Scenario: Successful user authentication
Given the server is running
When I authenticate with valid credentials
Then the authentication should be successful
// Run specific tags
go test ./features/... -tags=smoke
godog --tags=@auth features/
```
#### B. Event-Based Synchronization
```go
// Use server lifecycle events
func waitForConfigReload() error {
return waitForEvent("config_reloaded", 30*time.Second)
}
```
#### C. Test Hooks with Timeouts
```go
// In test setup
ctx.Step("^I wait for v2 API to be enabled$", func() error {
return waitForCondition(30*time.Second, func() bool {
return v2EndpointAvailable()
})
})
```
### 5. Test Lifecycle Management
#### Before Suite (Feature Level)
```go
func InitializeFeatureSuite(featureName string) {
// Setup feature-specific resources
initDatabaseForFeature(featureName)
createFeatureConfigFile(featureName)
startIsolatedServer(featureName)
}
```
#### After Suite (Feature Level)
```go
func CleanupFeatureSuite(featureName string) {
// Cleanup feature-specific resources
cleanupDatabaseForFeature(featureName)
removeFeatureConfigFile(featureName)
stopIsolatedServer(featureName)
}
```
### 6. Shell Script Integration
Create feature-specific test scripts:
```bash
# scripts/test-feature.sh
#!/bin/bash
FEATURE=$1
DATABASE="dance_lessons_coach_${FEATURE}_test"
CONFIG="features/${FEATURE}/${FEATURE}-test-config.yaml"
# Setup
setup_feature_environment() {
echo "🧪 Setting up ${FEATURE} feature tests..."
create_database ${DATABASE}
generate_config ${CONFIG}
}
# Run tests
run_feature_tests() {
echo "🚀 Running ${FEATURE} feature tests..."
DLC_DATABASE_NAME=${DATABASE} \
DLC_CONFIG_FILE=${CONFIG} \
go test ./features/${FEATURE}/... -v
}
# Teardown
cleanup_feature_environment() {
echo "🧹 Cleaning up ${FEATURE} feature tests..."
drop_database ${DATABASE}
remove_config ${CONFIG}
}
# Main execution
setup_feature_environment
run_feature_tests
cleanup_feature_environment
```
### 7. Configuration Management
#### Feature-Specific Config Files
```yaml
# features/auth/auth-test-config.yaml
server:
host: "127.0.0.1"
port: 9192 # Feature-specific port
database:
name: "dance_lessons_coach_auth_test" # Feature-specific database
api:
v2_enabled: true # Feature-specific settings
auth:
jwt:
ttl: 1h
```
### 8. Test Data Management
#### A. Feature-Scoped Data
- Each feature gets its own data namespace
- Example: `auth_user_*`, `greet_message_*` prefixes
#### B. Automatic Cleanup
```go
func CleanupFeatureData(featureName string) {
// Remove all data created by this feature
db.Exec(fmt.Sprintf("DELETE FROM %s_* WHERE feature = '%s'", featureName, featureName))
}
```
## Consequences
### Positive
1. **Improved Test Reliability**: Tests don't interfere with each other
2. **Better Maintainability**: Smaller, focused test files
3. **Faster Development**: Run only relevant tests during feature development
4. **Easier Debugging**: Isolate issues to specific features
5. **Parallel Testing**: Enable safe parallel execution
6. **SOLID Compliance**: Single responsibility for test files
### Negative
1. **Increased Complexity**: More moving parts in test infrastructure
2. **Resource Usage**: Multiple databases/servers consume more resources
3. **Setup Time**: Initial test runs may be slower due to setup
4. **Learning Curve**: Team needs to understand the isolation patterns
### Neutral
1. **Test Execution Time**: May increase or decrease depending on parallelization
2. **CI/CD Changes**: Pipeline needs adaptation for new test organization
## Implementation Plan
### Phase 1: Refactor Current Tests (1-2 weeks)
1. Split monolithic feature files into feature directories
2. Create feature-specific test scripts
3. Implement basic isolation (config files, database names)
### Phase 2: Enhance Test Infrastructure (2-3 weeks)
1. Add synchronization helpers to test framework
2. Implement server lifecycle management
3. Create comprehensive cleanup routines
### Phase 3: Parallel Testing (Optional)
1. Add parallel test execution capability
2. Implement port management for parallel runs
3. Add resource monitoring
## Alternatives Considered
### 1. Single Test Suite with Better Cleanup
**Rejected because**: Doesn't solve fundamental interdependence issues
### 2. Docker-Based Isolation
**Rejected because**: Too heavyweight for local development
### 3. Test Virtualization
**Rejected because**: Overkill for current project size
## Success Metrics
1. **Test Reliability**: >95% pass rate in CI/CD
2. **Test Isolation**: Ability to run any single feature test independently
3. **Developer Experience**: Feature tests run in <30 seconds locally
4. **Maintainability**: New team members can understand test structure in <1 hour
## References
### Godog Official Resources
- [Godog GitHub Repository](https://github.com/cucumber/godog)
- [Godog Documentation](https://pkg.go.dev/github.com/cucumber/godog)
### BDD Best Practices
- [BDD Best Practices](references/BDD_BEST_PRACTICES.md)
- [Alice GG • BDD in Golang](https://alicegg.tech/2019/03/09/gobdd.html)
- [Scrap Your TDD for BDD: Part II](https://medium.com/the-godev-corner/scrap-your-tdd-for-bdd-part-ii-heres-how-to-start-d2468dd46dda)
### Test Organization Patterns
- [Test Server Implementation](references/TEST_SERVER.md)
- [Optimizing Godog Test Execution](https://www.reddit.com/r/golang/comments/1llnlp2/optimizing_godog_bdd_test_execution_in_go_how_to/)
## Revision History
- **2026-04-09**: Initial draft based on BDD test challenges
- **2026-04-09**: Added implementation details and examples
## Decision Makers
- **Approved by**: Gabriel Radureau
- **Consulted**: AI Agent (Mistral Vibe)
- **Informed**: Development Team
## Future Considerations
1. **Test Impact Analysis**: Track which tests are affected by code changes
2. **Flaky Test Detection**: Automatically identify and quarantine flaky tests
3. **Performance Benchmarking**: Monitor test execution times over time
4. **Test Coverage Visualization**: Feature-level coverage reports
---
**Status**: 🟡 Proposed → Ready for team review and implementation
**Note**: This ADR complements ADR 0023 (Config Hot Reloading) by addressing the test organization aspects of hot reloading functionality.

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@@ -0,0 +1,344 @@
# ADR 0025: BDD Scenario Isolation Strategies
## Status
**Accepted (Partial)** 🟡
Phase 1 (schema-per-scenario DB isolation + `ScenarioState` manager in `pkg/bdd/steps/scenario_state.go`) is implemented.
Phase 2 (cache key prefix strategy, in-memory store `Reset()` methods) is pending — blocked on ADR-0022 (rate limiting/cache) not yet implemented.
## Context
As our BDD test suite grows, we're encountering **test pollution** issues where scenarios interfere with each other through shared state. This is particularly problematic for:
1. **Database state**: Scenarios create users, JWT secrets, config entries that persist across scenarios
2. **JWT secret rotation**: Multiple secrets accumulate, affecting subsequent scenario authentication
3. **Config file modifications**: Feature flag changes persist between tests
4. **Gherkin Background steps**: Data set up in Background is visible to all scenarios in the feature
Our current approach clears database tables after each scenario, but this has **race condition vulnerabilities** with concurrent scenario execution.
### Gherkin Background Consideration
Crucially, Gherkin's `Background` section runs **before each scenario** in a feature, not once before all scenarios. This means:
```gherkin
Feature: User registration
Background:
Given the database is empty
And a default admin user exists
Scenario: Register new user
When I register user "alice"
Then user "alice" should exist
Scenario: Register duplicate user
When I register user "alice"
Then I should see error "user already exists"
```
The second scenario fails because Background creates data that persists, and the first scenario's data isn't cleaned up. Background steps are re-executed before each scenario.
## Decision Drivers
* **Isolation**: Each scenario must start with a clean slate
* **Performance**: Cleanup must be fast enough for CI/CD pipelines
* **Concurrency**: Must work with parallel scenario execution
* **Compatibility**: Must work with Gherkin Background steps
* **Maintainability**: Solution should be simple to understand and debug
## Considered Options
### Option 1: Transaction Rollback (Rejected ❌)
Wrap each scenario in a database transaction, rollback at the end.
```go
BeforeScenario: BEGIN;
AfterScenario: ROLLBACK;
```
**Pros:**
- Simple implementation
- Fast - transaction rollback is nearly instant
- No data cleanup needed
**Cons:**
-**Fails if scenario commits**: Nested transaction problem - `COMMIT` inside scenario releases the transaction, parent `ROLLBACK` has no effect
- Cannot handle non-database state (JWT secrets in memory, config files)
- Doesn't solve JWT secret pollution
**Verdict: Not viable** - Too many scenarios use database transactions internally.
---
### Option 2: Clear Tables in Public Schema (Current ✅/⚠️)
Delete all rows from all tables after each scenario.
```go
AfterScenario: DELETE FROM table1; DELETE FROM table2; ...
```
**Pros:**
- Currently implemented
- Works with any scenario code
- Handles database state
**Cons:**
- ⚠️ **Race conditions**: Concurrent scenarios can interleave - Scenario A deletes data while Scenario B is still using it
- ⚠️ **Slow**: Must delete from all tables, reset sequences
-**Misses in-memory state**: JWT secrets, config changes persist
-**Doesn't handle Background**: Background data is shared across scenarios
**Verdict: Partially adequate** - Works for sequential execution but has parallel execution issues.
---
### Option 3: Schema-per-Scenario (Recommended ✅)
Create a unique PostgreSQL schema for each scenario, drop it after.
```go
BeforeScenario:
schema := "test_" + sha256(scenario.Name)[:8]
CREATE SCHEMA schema;
SET search_path = schema, public;
AfterScenario:
DROP SCHEMA schema CASCADE;
```
**Pros:**
-**True isolation**: Each scenario has its own database namespace
-**Works with transactions**: Scenario can commit freely - entire schema is dropped
-**Works with Background**: Background runs in scenario's schema, data is isolated
-**Fast**: Schema drop is instant (just metadata deletion)
-**Handles concurrent scenarios**: Different schemas = no conflicts
**Cons:**
- Requires `CREATE/DROP SCHEMA` database privileges in test environment
- Some ORMs may hardcode `public` schema - need to use `SET search_path` carefully
- Test DB must allow many schemas (typically fine for PostgreSQL)
- We need to handle `search_path` in connection pooling (each scenario needs its own connection)
**Implementation notes:**
- Use `Luego` (PostgreSQL schema prefix) approach: `test_{hash}`
- Hash: `sha256(feature_name + scenario_name)[:8]` for consistency across runs
- Execute Background steps in the scenario's schema context
- Set `search_path` at the connection level, not globally
---
### Option 4: Database-per-Feature ⚠️
Create a separate database for each feature file.
```go
BeforeFeature: CREATE DATABASE feature_auth;
AfterFeature: DROP DATABASE feature_auth;
```
**Pros:**
- Strong isolation between features
- Simple implementation
**Cons:**
-**Doesn't isolate scenarios within a feature** - Background data shared across scenarios
- Database creation is slower than schema creation
- Harder to manage in CI (more databases to create/cleanup)
- Still need table clearing between scenarios within a feature
**Verdict: Insufficient** - Doesn't solve intra-feature pollution.
---
### Option 5: Schema-per-Feature + Table Clearing per Scenario ⚠️
Create one schema per feature, clear tables between scenarios.
```go
BeforeFeature: CREATE SCHEMA feature_auth;
AfterFeature: DROP SCHEMA feature_auth;
AfterScenario: DELETE FROM all_tables;
```
**Pros:**
- Isolates features from each other
- Simpler than per-scenario schemas
**Cons:**
-**Scenarios within a feature share state** - Background data persists
- Still has race conditions with concurrent scenarios in same feature
- Requires table clearing overhead
**Verdict: Better than current but still has issues**.
---
## Decision Outcome
**Chosen option: Schema-per-Scenario + In-Memory State Reset + Per-Scenario Step State (Option 3 Enhanced)**
We will implement schema-per-scenario because it:
1. Provides **true isolation** for all database state
2. **Works with Gherkin Background** - Background runs in each scenario's schema
3. **Handles concurrent execution** - No race conditions
4. **Works with scenario transactions** - Scenarios can commit freely
5. Is **fast** - Schema operations are cheap
**However, we discovered a critical limitation:** PostgreSQL schemas only isolate **database tables**. In-memory state (application-level caches, user stores, JWT secret managers) **persists across scenarios** because they're stored in the shared `sharedServer` Go instance. Schema isolation does NOT solve this.
### Enhanced Strategy: Multi-Layer Isolation
To achieve **complete scenario isolation**, we need a **3-layer approach:**
| Layer | Component | Strategy | Status |
|-------|-----------|----------|--------|
| DB | PostgreSQL tables | Schema-per-scenario | ✅ Implemented |
| Memory | Server-level state (JWT secrets) | Reset to initial state | ✅ Implemented |
| Memory | Step-level state (tokens, user IDs) | Per-scenario state map | ✅ Implemented |
| Memory | User store | Reset/clear between scenarios | ⚠️ TODO |
| Memory | Auth cache | Reset/clear between scenarios | ⚠️ TODO |
| Cache | Redis/Memcached | Key prefix with schema hash | ⚠️ TODO |
### Layer 3: Per-Scenario Step State Isolation
**New insight from test failures:** Step definition structs (AuthSteps, GreetSteps, etc.) maintain state in their fields:
- `lastToken`, `firstToken` in AuthSteps
- `lastUserID` in AuthSteps
This state **spills across scenarios** even with schema isolation, because struct fields are shared across all scenarios in a test process.
**Solution:** Create a `ScenarioState` manager with per-scenario isolation:
```go
type ScenarioState struct {
LastToken string
FirstToken string
LastUserID uint
}
type scenarioStateManager struct {
mu sync.RWMutex
states map[string]*ScenarioState // keyed by scenario hash
}
// Usage in step definitions:
func (s *AuthSteps) iShouldReceiveAValidJWTToken() error {
state := steps.GetScenarioState(s.scenarioName)
state.LastToken = extractedToken
// ...
}
```
**Benefits:**
- ✅ Zero code changes to step definitions (with helper functions)
- ✅ Thread-safe (sync.RWMutex)
- ✅ Consistent state per scenario
- ✅ Automatic cleanup via BeforeScenario/AfterScenario hooks
- ✅ Works with random test order
**Status:** Implemented in `pkg/bdd/steps/scenario_state.go`
### Key Insight: Cache and In-Memory Store Isolation
**For caches (Redis, Memcached, in-process):**
- Use **schema hash as key prefix/suffix**: `cache_key_{schema_hash}` or `{schema_hash}_cache_key`
- This ensures each scenario gets isolated cache namespace
- Works even with external cache services
- Consistent with schema isolation philosophy
**For in-memory stores (user repository, etc.):**
- Add `Reset()` methods that clear all state
- Call in `AfterScenario` alongside schema teardown
- Or use schema-prefix approach for shared stores
### Alternative Approach: Background Explicit State Setup
**Considered but rejected:** Adding explicit "Given no user X exists" steps or heavy Background sections.
**Pros:** More readable, explicit about state
**Cons:**
- Error-prone (must remember for every entity)
- Verbose (many Given steps)
- Doesn't scale with many entities
- Still has race conditions with concurrent scenarios
**Verdict:** Automated cleanup (schema drop + memory reset) is more reliable than manual Background setup.
### Implementation Plan
**Phase 1: Foundation (✅ Complete)**
- Add scenario-aware schema management to test server
- Implement schema creation/drop in BeforeScenario/AfterScenario hooks
- Handle `search_path` configuration for each scenario's database connection
**Phase 2: In-Memory State Reset (🟡 TODO)**
- Add `ResetUsers()` method to clear in-memory user store
- Add `ResetCache()` method for auth/rateLimiting caches
- Call these in AfterScenario alongside JWT secret reset
- **Cache key strategy**: `key_{schema_hash}` for all cache operations
**Phase 3: Connection Pooling**
- Configure connection pool to respect per-scenario `search_path`
- Each scenario gets isolated connections
**Phase 4: Validation**
- Run full test suite to verify complete isolation
- Fix any hardcoded `public` schema references
### Schema Naming Convention
```
Schema name: test_{sha256(feature:scenario)[:8]}
Cache key prefix: {sha256(feature:scenario)[:8]}_
```
Example:
- Feature: `auth`, Scenario: `Successful user authentication`
- Hash: `sha256("auth:Successful user authentication")[:8]` = `a3f7b2c1`
- Schema: `test_a3f7b2c1`
- Cache key: `a3f7b2c1_user:newuser` instead of just `user:newuser`
Benefits:
- Unique per scenario
- Consistent across test runs (same scenario = same hash)
- Short (8 chars) - efficient for cache keys
- Identifiable for debugging
### Schema Naming Convention
```
Schema name: test_{sha256(feature + scenario)[:8]}
```
Example:
- Feature: `auth`, Scenario: `Successful user authentication`
- Hash: `sha256("auth_Successful user authentication")[:8]` = `a3f7b2c1`
- Schema: `test_a3f7b2c1`
Benefits:
- Unique per scenario
- Consistent across test runs (same scenario = same schema)
- Short (8 chars + prefix = 14 chars max)
- Identifiable for debugging
## Pros and Cons Summary
| Aspect | Schema-per-Scenario | Current (Clear Tables) | Transaction Rollback |
|--------|---------------------|----------------------|-------------------|
| Isolation | ✅ Strong | ⚠️ Medium | ❌ Weak |
| Works with Background | ✅ Yes | ⚠️ Partial | ❌ No |
| Concurrency safe | ✅ Yes | ❌ No | ❌ No |
| Works with TX | ✅ Yes | ✅ Yes | ❌ No |
| Speed | ✅ Fast | ⚠️ Slow | ✅ Fast |
| DB privileges | ⚠️ Needs CREATE | ✅ None | ✅ None |
| Complexity | ⚠️ Medium | ✅ Low | ✅ Low |
## Links
* [ADR 0008: BDD Testing](adr/0008-bdd-testing.md) - Original BDD adoption decision
* [ADR 0024: BDD Test Organization and Isolation](adr/0024-bdd-test-organization-and-isolation.md) - Feature isolation strategy
* [Godog Documentation](https://github.com/cucumber/godog) - BDD framework specifics
* [PostgreSQL Schemas](https://www.postgresql.org/docs/current/ddl-schemas.html) - Schema management

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@@ -1,6 +1,36 @@
# Architecture Decision Records (ADRs)
This directory contains Architecture Decision Records (ADRs) for the DanceLessonsCoach project.
This directory contains Architecture Decision Records (ADRs) for the dance-lessons-coach project.
## Index of ADRs
| Number | Title | Status |
|--------|-------|--------|
| 0001 | Go 1.26.1 Standard | ✅ Accepted |
| 0002 | Chi Router | ✅ Accepted |
| 0003 | Zerolog Logging | ✅ Accepted |
| 0004 | Interface-Based Design | ✅ Accepted |
| 0005 | Graceful Shutdown | ✅ Accepted |
| 0006 | Configuration Management | ✅ Accepted |
| 0007 | OpenTelemetry Integration | ✅ Accepted |
| 0008 | BDD Testing with Godog | ✅ Accepted (structure superseded by 0024) |
| 0009 | BDD Testing with OpenAPI Documentation | ✅ Accepted |
| 0010 | API v2 Feature Flag | ✅ Accepted |
| 0011 | Validation Library (go-playground/validator) | ✅ Accepted |
| 0012 | Git Hooks: Staged-Only Formatting | ✅ Accepted |
| 0013 | OpenAPI/Swagger Toolchain (swaggo/swag) | ✅ Accepted |
| 0014 | gRPC Adoption Strategy | ❌ Rejected / Deferred |
| 0015 | CLI Subcommands with Cobra | ✅ Accepted |
| 0016 | CI/CD Pipeline Design | ✅ Accepted |
| 0017 | Trunk-Based Development Workflow | ✅ Accepted |
| 0018 | User Management and Auth System | ✅ Accepted |
| 0019 | PostgreSQL Integration | ✅ Accepted (SQLite cleanup pending) |
| 0020 | Docker Build Strategy | ✅ Accepted |
| 0021 | JWT Secret Retention Policy | 🟡 Proposed (base JWT done; cleanup job not implemented) |
| 0022 | Rate Limiting and Cache Strategy | 🟡 Proposed (not implemented — Gitea issue #13) |
| 0023 | Config Hot Reloading | 🟡 Proposed (not implemented) |
| 0024 | BDD Test Organization and Isolation | ✅ Accepted |
| 0025 | BDD Scenario Isolation Strategies | ✅ Accepted (Partial — Phase 2 pending ADR-0022) |
## What is an ADR?
@@ -66,14 +96,24 @@ Chosen option: "[Option 1]" because [justification]
* [0005-graceful-shutdown.md](0005-graceful-shutdown.md) - Implement graceful shutdown with readiness endpoints
* [0006-configuration-management.md](0006-configuration-management.md) - Use Viper for configuration management
* [0007-opentelemetry-integration.md](0007-opentelemetry-integration.md) - Integrate OpenTelemetry for distributed tracing
* [0008-bdd-testing.md](0008-bdd-testing.md) - Adopt BDD with Godog for behavioral testing
* [0009-hybrid-testing-approach.md](0009-hybrid-testing-approach.md) - Combine BDD and Swagger-based testing
* [0008-bdd-testing.md](0008-bdd-testing.md) - Adopt BDD with Godog for behavioral testing (structure superseded by 0024)
* [0009-hybrid-testing-approach.md](0009-hybrid-testing-approach.md) - BDD testing with OpenAPI documentation (SDK layer deferred)
* [0010-api-v2-feature-flag.md](0010-api-v2-feature-flag.md) - API v2 implementation with feature flag control
* [0011-validation-library-selection.md](0011-validation-library-selection.md) - Selection of go-playground/validator for input validation
* [0012-git-hooks-staged-only-formatting.md](0012-git-hooks-staged-only-formatting.md) - Git hooks format only staged Go files
* [0013-openapi-swagger-toolchain.md](0013-openapi-swagger-toolchain.md) - OpenAPI/Swagger documentation with swaggo/swag (Implemented)
* [0014-grpc-adoption-strategy.md](0014-grpc-adoption-strategy.md) - Hybrid REST/gRPC adoption strategy
* [0013-openapi-swagger-toolchain.md](0013-openapi-swagger-toolchain.md) - OpenAPI/Swagger documentation with swaggo/swag
* [0014-grpc-adoption-strategy.md](0014-grpc-adoption-strategy.md) - gRPC adoption strategy (rejected/deferred)
* [0015-cli-subcommands-cobra.md](0015-cli-subcommands-cobra.md) - Cobra CLI framework adoption
* [0016-ci-cd-pipeline-design.md](0016-ci-cd-pipeline-design.md) - CI/CD pipeline architecture
* [0017-trunk-based-development-workflow.md](0017-trunk-based-development-workflow.md) - Trunk-based development workflow
* [0018-user-management-auth-system.md](0018-user-management-auth-system.md) - User management and authentication system
* [0019-postgresql-integration.md](0019-postgresql-integration.md) - PostgreSQL database integration
* [0020-docker-build-strategy.md](0020-docker-build-strategy.md) - Docker Build Strategy: Traditional vs Buildx
* [0021-jwt-secret-retention-policy.md](0021-jwt-secret-retention-policy.md) - JWT Secret Retention Policy (base JWT done; cleanup job proposed)
* [0022-rate-limiting-cache-strategy.md](0022-rate-limiting-cache-strategy.md) - Rate Limiting and Cache Strategy (not yet implemented — issue #13)
* [0023-config-hot-reloading.md](0023-config-hot-reloading.md) - Config Hot Reloading Strategy (not yet implemented)
* [0024-bdd-test-organization-and-isolation.md](0024-bdd-test-organization-and-isolation.md) - BDD test modular organisation by domain
* [0025-bdd-scenario-isolation-strategies.md](0025-bdd-scenario-isolation-strategies.md) - Schema-per-scenario isolation for BDD tests (partial)
## How to Add a New ADR

320
bdd_implementation_plan.md Normal file
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@@ -0,0 +1,320 @@
# BDD Implementation Plan - Iterative Approach
Based on ADR 0024: BDD Test Organization and Isolation Strategy
## Phase 1: Refactor Current Tests (1-2 weeks)
### Objective: Split monolithic feature files into modular, isolated components
### Tasks:
1. **Split feature files by business domain**
- Create `features/auth/` directory
- Create `features/config/` directory
- Create `features/greet/` directory
- Create `features/health/` directory
- Create `features/jwt/` directory
2. **Implement feature-specific isolation**
- Add config file patterns: `features/{domain}/{domain}-test-config.yaml`
- Implement database naming: `dance_lessons_coach_{domain}_test`
- Assign unique ports per feature group
3. **Create feature-specific test scripts**
- Implement `scripts/test-feature.sh` with feature parameter
- Add environment setup/teardown logic
- Implement resource cleanup routines
### Deliverables:
- ✅ Modular feature directory structure
- ✅ Feature-specific configuration files
- ✅ Basic isolation mechanisms
- ✅ Feature-level test scripts
## Phase 2: Enhance Test Infrastructure (2-3 weeks)
### Objective: Add synchronization and lifecycle management
### Tasks:
1. **Implement synchronization helpers**
- Add `waitForServerReady()` with timeout
- Add `waitForConfigReload()` with event-based detection
- Add `waitForCondition()` helper function
2. **Add Godog context management**
- Create feature-specific context structs
- Implement `InitializeFeatureSuite()`
- Implement `CleanupFeatureSuite()`
3. **Add tag-based test selection**
- Implement `@smoke`, `@auth`, `@config` tags
- Add tag filtering to test scripts
- Document tag usage in README
### Deliverables:
- ✅ Robust synchronization mechanisms
- ✅ Proper context lifecycle management
- ✅ Tag-based test execution
- ✅ Improved test reliability
## Phase 3: Parallel Testing (Optional - 1 week)
### Objective: Enable safe parallel test execution
### Tasks:
1. **Implement port management**
- Add port allocation system
- Implement port conflict detection
- Add parallel execution flags
2. **Add resource monitoring**
- Implement resource usage tracking
- Add timeout detection
- Implement cleanup on failure
3. **Update CI/CD pipeline**
- Add parallel test execution
- Implement resource limits
- Add test isolation validation
### Deliverables:
- ✅ Parallel test execution capability
- ✅ Resource monitoring and limits
- ✅ Updated CI/CD configuration
## Implementation Timeline
### Week 1-2: Phase 1 - Test Refactoring
- Day 1-2: Create feature directory structure
- Day 3-4: Implement feature-specific configs
- Day 5-7: Create test scripts and isolation
- Day 8-10: Test and validate refactoring
### Week 3-5: Phase 2 - Infrastructure Enhancement
- Day 11-12: Add synchronization helpers
- Day 13-14: Implement context management
- Day 15-17: Add tag-based selection
- Day 18-21: Test and validate infrastructure
### Week 6: Phase 3 - Parallel Testing (Optional)
- Day 22-24: Implement port management
- Day 25-26: Add resource monitoring
- Day 27-28: Update CI/CD pipeline
- Day 29-30: Test and validate parallel execution
## Success Criteria
### Phase 1 Success:
- ✅ All tests pass in new structure
- ✅ Feature isolation working correctly
- ✅ Test scripts functional
- ✅ No regression in test coverage
### Phase 2 Success:
- ✅ Synchronization working reliably
- ✅ Context management implemented
- ✅ Tag filtering operational
- ✅ Test reliability >95%
### Phase 3 Success:
- ✅ Parallel tests execute safely
- ✅ Resource usage within limits
- ✅ CI/CD pipeline updated
- ✅ Test execution time reduced
## Risk Mitigation
### Phase 1 Risks:
- **Test failures during refactoring**: Maintain old structure until new is validated
- **Isolation issues**: Implement gradual rollout with validation
### Phase 2 Risks:
- **Synchronization complexity**: Start with simple timeouts, enhance gradually
- **Context management bugs**: Add comprehensive logging and debugging
### Phase 3 Risks:
- **Resource conflicts**: Implement strict resource limits and monitoring
- **CI/CD instability**: Test parallel execution locally before pipeline update
## Monitoring and Validation
### Phase 1 Validation:
```bash
# Test each feature independently
./scripts/test-feature.sh auth
./scripts/test-feature.sh config
./scripts/test-feature.sh greet
# Verify isolation
./scripts/validate-isolation.sh
```
### Phase 2 Validation:
```bash
# Test synchronization
./scripts/test-synchronization.sh
# Test tag filtering
godog --tags=@smoke features/
# Test context management
./scripts/test-context-lifecycle.sh
```
### Phase 3 Validation:
```bash
# Test parallel execution
./scripts/test-all-features-parallel.sh
# Monitor resource usage
./scripts/monitor-test-resources.sh
# Validate CI/CD changes
./scripts/validate-ci-cd.sh
```
## Rollback Plan
### Phase 1 Rollback:
```bash
# Revert to original structure
git checkout HEAD~1 -- features/
# Restore original test scripts
git checkout HEAD~1 -- scripts/test-*.sh
```
### Phase 2 Rollback:
```bash
# Remove synchronization helpers
git checkout HEAD~1 -- pkg/bdd/helpers/
# Restore original context management
git checkout HEAD~1 -- pkg/bdd/context/
```
### Phase 3 Rollback:
```bash
# Disable parallel execution
sed -i 's/parallel=true/parallel=false/' scripts/test-all-features-parallel.sh
# Revert CI/CD changes
git checkout HEAD~1 -- .github/workflows/
```
## Documentation Updates
### Phase 1 Documentation:
- ✅ Update README with new test structure
- ✅ Document feature organization conventions
- ✅ Add test execution instructions
### Phase 2 Documentation:
- ✅ Document synchronization patterns
- ✅ Add context management guide
- ✅ Document tag usage and filtering
### Phase 3 Documentation:
- ✅ Add parallel testing guide
- ✅ Document resource limits
- ✅ Update CI/CD documentation
## Team Communication
### Phase 1:
- Team meeting to explain new structure
- Hands-on workshop for test refactoring
- Daily standups to track progress
### Phase 2:
- Technical deep dive on synchronization
- Code review sessions for context management
- Pair programming for complex scenarios
### Phase 3:
- Performance testing workshop
- CI/CD pipeline review
- Resource monitoring training
## Continuous Improvement
### Post-Phase 1:
- Gather feedback on new structure
- Identify pain points in isolation
- Optimize test execution times
### Post-Phase 2:
- Monitor test reliability metrics
- Identify flaky tests for fixing
- Optimize synchronization patterns
### Post-Phase 3:
- Monitor parallel execution performance
- Identify resource bottlenecks
- Optimize CI/CD pipeline timing
## Metrics Tracking
### Test Reliability:
```
# Track pass rate over time
./scripts/track-test-reliability.sh
```
### Test Execution Time:
```
# Monitor execution times
./scripts/monitor-execution-time.sh
```
### Resource Usage:
```
# Track resource consumption
./scripts/monitor-resource-usage.sh
```
## Future Enhancements
### Post-Phase 3:
- Test impact analysis
- Flaky test detection
- Performance benchmarking
- Test coverage visualization
### Long-term:
- AI-assisted test generation
- Automated test optimization
- Predictive test failure analysis
- Intelligent test prioritization
## Implementation Checklist
### Phase 1: Test Refactoring
- [ ] Create feature directories
- [ ] Split feature files
- [ ] Implement config isolation
- [ ] Add database isolation
- [ ] Create test scripts
- [ ] Test and validate
### Phase 2: Infrastructure Enhancement
- [ ] Add synchronization helpers
- [ ] Implement context management
- [ ] Add tag filtering
- [ ] Test and validate
### Phase 3: Parallel Testing
- [ ] Implement port management
- [ ] Add resource monitoring
- [ ] Update CI/CD pipeline
- [ ] Test and validate
## Notes
- Each phase builds on the previous one
- Phase 3 is optional and can be deferred
- Focus on reliability before performance
- Maintain backward compatibility where possible
- Document all changes thoroughly
- Gather team feedback at each phase
- Monitor metrics continuously
- Celebrate milestones and successes

View File

@@ -1,7 +1,7 @@
// Package main provides the dance-lessons-coach server entry point
//
// @title dance-lessons-coach API
// @version 1.2.0
// @version 1.4.0
// @description API for dance-lessons-coach service providing greeting functionality
// @termsOfService http://swagger.io/terms/
@@ -12,9 +12,14 @@
// @license.name MIT
// @license.url https://opensource.org/licenses/MIT
// @host localhost:8080
// @BasePath /api
// @schemes http https
// @host localhost:8080
// @BasePath /api
// @schemes http https
//
// @securityDefinitions.apikey BearerAuth
// @in header
// @name Authorization
// @description JWT authentication using Bearer token. Format: Bearer <token>
package main
@@ -43,8 +48,10 @@ func main() {
log.Fatal().Err(err).Msg("Failed to load configuration")
}
// Create readiness context to control readiness state
readyCtx, readyCancel := context.WithCancel(context.Background())
// Create readiness context to control readiness state.
// CancelableContext exposes Cancel() so that Server.Run() can cancel
// readiness at the start of graceful shutdown (before the propagation sleep).
readyCtx, readyCancel := server.NewCancelableContext(context.Background())
defer readyCancel()
// Create and run server
@@ -52,4 +59,5 @@ func main() {
if err := server.Run(); err != nil {
log.Fatal().Err(err).Msg("Server failed")
}
log.Trace().Msg("Server exited")
}

View File

@@ -1,4 +1,4 @@
# DanceLessonsCoach Configuration
# dance-lessons-coach Configuration
# This file serves as both the default configuration and documentation
# All available options are shown with their default values
@@ -41,8 +41,8 @@ telemetry:
# Format: host:port
otlp_endpoint: "localhost:4317"
# Service name for tracing (default: "DanceLessonsCoach")
service_name: "DanceLessonsCoach"
# Service name for tracing (default: "dance-lessons-coach")
service_name: "dance-lessons-coach"
# Use insecure connection (no TLS) (default: true)
insecure: true
@@ -55,4 +55,36 @@ telemetry:
# Sampling ratio (0.0 to 1.0, default: 1.0)
# Only used with traceidratio and parentbased_traceidratio samplers
ratio: 1.0
ratio: 1.0
# Database configuration (PostgreSQL)
database:
# PostgreSQL host address (default: "localhost")
host: "localhost"
# PostgreSQL port (default: 5432)
port: 5432
# PostgreSQL username (default: "postgres")
user: "postgres"
# PostgreSQL password (default: "postgres")
# Change this for production!
password: "postgres"
# Database name (default: "dance_lessons_coach")
name: "dance_lessons_coach"
# SSL mode (default: "disable")
# Options: "disable", "allow", "prefer", "require", "verify-ca", "verify-full"
ssl_mode: "disable"
# Maximum number of open connections (default: 25)
max_open_conns: 25
# Maximum number of idle connections (default: 5)
max_idle_conns: 5
# Maximum lifetime of connections (default: "1h")
# Format: number + unit (s, m, h)
conn_max_lifetime: 1h

View File

@@ -1,29 +0,0 @@
version: '3.8'
services:
act-runner:
image: gitea/act_runner:latest
volumes:
- .:/workspace
- ./config/runner:/data/.runner
working_dir: /workspace
environment:
- GITEA_INSTANCE_URL=${GITEA_INSTANCE_URL:-https://gitea.arcodange.lab/}
- GITEA_RUNNER_REGISTRATION_TOKEN=${GITEA_RUNNER_REGISTRATION_TOKEN}
- GITEA_RUNNER_NAME=${GITEA_RUNNER_NAME:-local-test-runner}
- GITEA_RUNNER_LABELS=${GITEA_RUNNER_LABELS:-ubuntu-latest:docker://node:16-bullseye,ubuntu-22.04:docker://gitea/act_runner:latest}
command: act -W .gitea/workflows/go-ci-cd.yaml --rm
yamllint:
image: pipelinecomponents/yamllint:latest
volumes:
- .:/workspace
working_dir: /workspace
command: yamllint .gitea/workflows/
yq-validator:
image: mikefarah/yq:latest
volumes:
- .:/workspace
working_dir: /workspace
command: yq eval '.' .gitea/workflows/ci-cd.yaml

47
docker-compose.yml Normal file
View File

@@ -0,0 +1,47 @@
services:
postgres:
image: postgres:16-alpine
container_name: dance-lessons-coach-postgres
environment:
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
POSTGRES_DB: dance_lessons_coach
ports:
- "5432:5432"
volumes:
- postgres_data:/var/lib/postgresql/data
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres"]
interval: 5s
timeout: 5s
retries: 5
networks:
- dance-lessons-coach-network
restart: unless-stopped
# Application service (for reference)
# app:
# build: .
# container_name: dance-lessons-coach-app
# ports:
# - "8080:8080"
# environment:
# - DLC_DATABASE_HOST=postgres
# - DLC_DATABASE_PORT=5432
# - DLC_DATABASE_USER=postgres
# - DLC_DATABASE_PASSWORD=postgres
# - DLC_DATABASE_NAME=dance_lessons_coach
# - DLC_DATABASE_SSL_MODE=disable
# depends_on:
# postgres:
# condition: service_healthy
# restart: unless-stopped
volumes:
postgres_data:
driver: local
networks:
dance-lessons-coach-network:
name: dance-lessons-coach-network
driver: bridge

View File

@@ -1,4 +1,4 @@
# DanceLessonsCoach Docker Image
# dance-lessons-coach Docker Image
# Multi-stage build for production deployment
# Stage 1: Build binary

43
docker/Dockerfile.build Normal file
View File

@@ -0,0 +1,43 @@
# Build environment Dockerfile with pre-installed Go tools and dependencies
# Optimized for CI/CD pipeline speed
# Updated to include Node.js for GitHub Actions compatibility
FROM golang:1.26.1-alpine AS builder
# Install build dependencies
RUN apk add --no-cache \
git \
bash \
curl \
make \
gcc \
musl-dev \
bc \
grep \
sed \
jq \
ca-certificates \
nodejs \
npm \
postgresql-client \
tar # Add GNU tar for cache compatibility
# Set up Go environment
ENV GOPATH=/go
ENV PATH=$GOPATH/bin:/usr/local/go/bin:/usr/local/bin:/usr/bin:/bin
WORKDIR /go/src/dance-lessons-coach
# Install common Go tools
RUN go install github.com/swaggo/swag/cmd/swag@latest && \
go install golang.org/x/tools/cmd/goimports@latest && \
go install honnef.co/go/tools/cmd/staticcheck@latest
# Copy only go.mod and go.sum first for dependency caching
COPY go.mod go.sum ./
RUN go mod download && go mod verify
# Simple build environment - source code is mounted at runtime
WORKDIR /workspace
# Pre-download common Go tools (already installed in base)
# RUN go install github.com/swaggo/swag/cmd/swag@latest

37
docker/Dockerfile.prod Normal file
View File

@@ -0,0 +1,37 @@
# dance-lessons-coach Production Docker Image
# ⚠️ DEVELOPMENT ONLY - This file uses 'latest' tag for local testing
# ⚠️ CI/CD generates the correct Dockerfile.prod with proper dependency hash
# ⚠️ For production use, see the CI/CD workflow which generates the correct file
# Use the build cache image as base (latest for local dev only)
FROM gitea.arcodange.lab/arcodange/dance-lessons-coach-build-cache:latest AS builder
# Final minimal image
FROM alpine:3.18
WORKDIR /app
# Install minimal dependencies
RUN apk add --no-cache ca-certificates tzdata
# Copy binary from builder
COPY --from=builder /workspace/dance-lessons-coach /app/dance-lessons-coach
# Copy configuration
COPY config.yaml /app/config.yaml
# Set permissions
RUN chmod +x /app/dance-lessons-coach
# Set timezone
ENV TZ=UTC
# Expose port
EXPOSE 8080
# Health check
HEALTHCHECK --interval=30s --timeout=3s \
CMD wget -q --spider http://localhost:8080/api/health || exit 1
# Entry point
ENTRYPOINT ["/app/dance-lessons-coach"]

View File

@@ -0,0 +1,36 @@
# dance-lessons-coach Production Docker Image
# Minimal image using pre-built binary from CI cache
# Template: Replace {{DEPS_HASH}} with actual dependency hash
# Use the build cache image as base
FROM gitea.arcodange.lab/arcodange/dance-lessons-coach-build-cache:{{DEPS_HASH}} AS builder
# Final minimal image
FROM alpine:3.18
WORKDIR /app
# Install minimal dependencies
RUN apk add --no-cache ca-certificates tzdata
# Copy binary from builder
COPY --from=builder /workspace/dance-lessons-coach /app/dance-lessons-coach
# Copy configuration
COPY config.yaml /app/config.yaml
# Set permissions
RUN chmod +x /app/dance-lessons-coach
# Set timezone
ENV TZ=UTC
# Expose port
EXPOSE 8080
# Health check
HEALTHCHECK --interval=30s --timeout=3s \
CMD wget -q --spider http://localhost:8080/api/health || exit 1
# Entry point
ENTRYPOINT ["/app/dance-lessons-coach"]

View File

@@ -1,16 +1,16 @@
# DanceLessonsCoach Agent Usage Guide
# dance-lessons-coach Agent Usage Guide
## 🚀 Quick Start
### Launch Programmer Agent
```bash
cd /Users/gabrielradureau/Work/Vibe/DanceLessonsCoach
cd /Users/gabrielradureau/Work/Vibe/dance-lessons-coach
vibe start --agent dancelessonscoachprogrammer
```
### Launch Product Owner Agent
```bash
cd /Users/gabrielradureau/Work/Vibe/DanceLessonsCoach
cd /Users/gabrielradureau/Work/Vibe/dance-lessons-coach
vibe start --agent dancelessonscoach-product-owner
```
@@ -141,7 +141,7 @@ skill changelog-manager add-entry \
```toml
# .mistral/dancelessonscoachprogrammer-agent.toml
name: dancelessonscoachprogrammer
role: DanceLessonsCoachProgrammer
role: dance-lessons-coach-programmer
goals: ["Follow BDD practices", "Use Gitmoji commits", "Respect ADR process"]
```
@@ -149,7 +149,7 @@ goals: ["Follow BDD practices", "Use Gitmoji commits", "Respect ADR process"]
```toml
# .mistral/dancelessonscoach-product-owner-agent.toml
name: dancelessonscoach-product-owner
role: DanceLessonsCoachProductOwner
role: dance-lessons-coach-product-owner
goals: ["Facilitate stakeholder interviews", "Generate BDD tests", "Maintain documentation"]
```
@@ -210,7 +210,7 @@ vibe validate --agent dancelessonscoach-product-owner
```bash
# List available skills
ls /Users/gabrielradureau/Work/Vibe/.mistral/skills/
ls /Users/gabrielradureau/Work/Vibe/DanceLessonsCoach/.vibe/skills/
ls /Users/gabrielradureau/Work/Vibe/dance-lessons-coach/.vibe/skills/
# Validate skill
skill skill-creator validate .vibe/skills/product-owner-assistant
@@ -222,7 +222,7 @@ skill skill-creator validate .mistral/skills/interview-facilitator
```bash
# Check file permissions
chmod +x /Users/gabrielradureau/Work/Vibe/.mistral/skills/*/scripts/*
chmod +x /Users/gabrielradureau/Work/Vibe/DanceLessonsCoach/.vibe/skills/*/scripts/*
chmod +x /Users/gabrielradureau/Work/Vibe/dance-lessons-coach/.vibe/skills/*/scripts/*
```
## 📖 Related Documentation

158
documentation/API.md Normal file
View File

@@ -0,0 +1,158 @@
# API Endpoints
REST API reference for `dance-lessons-coach`. Extracted from the original `AGENTS.md` (Tâche 6 restructure) for lazy-loading compatibility with Mistral Vibe.
## Base URL
```
http://localhost:8080
```
## OpenAPI Documentation
- **Swagger UI:** `http://localhost:8080/swagger/`
- **OpenAPI Spec:** `http://localhost:8080/swagger/doc.json`
The API provides interactive documentation using Swagger UI with complete OpenAPI 2.0 specification. All endpoints, request/response models, and validation rules are documented using a **hierarchical tagging system**.
**Features:**
- Interactive API exploration with hierarchical organization
- Try-it-out functionality for all endpoints
- Model schemas with examples
- Response examples with validation rules
- Hierarchical tag structure for better navigation
**Generation:** Documentation is auto-generated from code annotations using [swaggo/swag](https://github.com/swaggo/swag) with the command:
```bash
go generate ./pkg/server/
```
**Tag Organization:**
- `API/v1/Greeting` — Version 1 greeting endpoints
- `API/v2/Greeting` — Version 2 greeting endpoints
- `System/Health` — Health and readiness endpoints
**Hierarchical Benefits:**
- Clear separation between API domains (API vs System)
- Version organization within each domain
- Natural hierarchy in Swagger UI
- Scalable for future API growth
**Embedded Documentation:** The OpenAPI spec is embedded in the binary using Go's `//go:embed` directive for single-binary deployment.
---
## Health Check
```http
GET /api/health
```
**Response:**
```json
{"status":"healthy"}
```
## Version Info
```http
GET /api/version
GET /api/version?format=plain
GET /api/version?format=full
GET /api/version?format=json
```
Returns the running binary version (injected at build time via `-ldflags`). The `format` query parameter controls the response shape:
- `format=plain` (or `?format=short`): plain text version (e.g. `1.0.0`)
- `format=full`: detailed multi-line text (Version, Commit, Built date, Go version)
- `format=json` (default): structured JSON `{"version": "1.0.0", "commit": "abc1234", "built": "...", "go_version": "go1.26.1"}`
## Readiness Check
```http
GET /api/ready
```
**Responses:**
- Normal operation: `{"ready":true}` (HTTP 200)
- During shutdown: `{"ready":false}` (HTTP 503 Service Unavailable)
**Purpose:** Indicates whether the server is ready to accept new requests. Returns false during graceful shutdown to allow existing requests to complete while preventing new ones.
## Greet Service v1
```http
GET /api/v1/greet/
GET /api/v1/greet/{name}
```
**Examples:**
```bash
# Default greeting
curl http://localhost:8080/api/v1/greet/
# Response: {"message":"Hello world!"}
# Personalized greeting
curl http://localhost:8080/api/v1/greet/John
# Response: {"message":"Hello John!"}
# Another example
curl http://localhost:8080/api/v1/greet/Alice
# Response: {"message":"Hello Alice!"}
```
## Greet Service v2 (Feature-flagged)
```http
POST /api/v2/greet
```
**Request Body:**
```json
{
"name": "John"
}
```
**Examples:**
```bash
# Valid request
curl -X POST http://localhost:8080/api/v2/greet \
-H "Content-Type: application/json" \
-d '{"name":"John"}'
# Response: {"message":"Hello my friend John!"}
# Empty name (valid, returns default)
curl -X POST http://localhost:8080/api/v2/greet \
-H "Content-Type: application/json" \
-d '{"name":""}'
# Response: {"message":"Hello my friend!"}
# Missing name field (valid, returns default)
curl -X POST http://localhost:8080/api/v2/greet \
-H "Content-Type: application/json" \
-d '{}'
# Response: {"message":"Hello my friend!"}
# Name too long (validation error)
curl -X POST http://localhost:8080/api/v2/greet \
-H "Content-Type: application/json" \
-d '{"name":"ThisNameIsWayTooLongAndShouldFailValidationBecauseItExceedsTheMaximumAllowedLengthOf100Characters!!!!"}'
# Response: {"error":"validation_failed","message":"Invalid request data","details":[{"message":"Name failed validation for 'max' (parameter: 100)"}]}
```
**Validation Rules:**
- `name`: Maximum length 100 characters (optional field)
**Feature Flag:** Enable with `DLC_API_V2_ENABLED=true` or in config file with `api.v2_enabled: true`.

View File

@@ -1,6 +1,6 @@
# BDD Testing Guide for DanceLessonsCoach
# BDD Testing Guide for dance-lessons-coach
This guide explains how to work with BDD tests using Godog in the DanceLessonsCoach project.
This guide explains how to work with BDD tests using Godog in the dance-lessons-coach project.
## Installation
@@ -33,7 +33,7 @@ The project already includes Godog as a dependency in `go.mod`. The BDD tests ar
```bash
# From project root
cd /Users/gabrielradureau/Work/Vibe/DanceLessonsCoach
cd /Users/gabrielradureau/Work/Vibe/dance-lessons-coach
go test ./features/... -v
```
@@ -112,7 +112,7 @@ Create a corresponding step definition file in `pkg/bdd/steps/`:
package steps
import (
"DanceLessonsCoach/pkg/bdd/testserver"
"dance-lessons-coach/pkg/bdd/testserver"
"github.com/cucumber/godog"
)
@@ -213,7 +213,7 @@ Add BDD tests to your CI pipeline:
## Modern Go Testing Practices
The DanceLessonsCoach project follows modern Go testing practices:
The dance-lessons-coach project follows modern Go testing practices:
1. **Standard library integration**: BDD tests use `go test`
2. **No global installation required**: Godog is a Go module dependency

251
documentation/CLI.md Normal file
View File

@@ -0,0 +1,251 @@
# CLI Management Guide
Complete reference for the `dance-lessons-coach` CLI, server lifecycle, and configuration. Extracted from the original `AGENTS.md` (Tâche 6 restructure) for lazy-loading compatibility with Mistral Vibe.
## Cobra CLI (Recommended)
`dance-lessons-coach` includes a modern CLI built with Cobra:
```bash
# Show help and available commands
./bin/dance-lessons-coach --help
# Show version information
./bin/dance-lessons-coach version
# Greet someone by name
./bin/dance-lessons-coach greet John
# Start the server
./bin/dance-lessons-coach server
```
**Available Commands:**
- `version` — Print version information
- `server` — Start the dance-lessons-coach server
- `greet [name]` — Greet someone by name
- `help` — Built-in help system
- `completion` — Generate shell completion scripts
**Server Command Flags:**
- `--config` — Config file path
- `--env` — Environment (`dev`, `staging`, `prod`)
- `--debug` — Enable debug logging
## Version Information
The server provides runtime version information:
```bash
# Check version using new CLI
./bin/dance-lessons-coach version
# Check version using server binary
./bin/server --version
# Output:
dance-lessons-coach Version Information:
Version: 1.0.0
Commit: abc1234
Built: 2026-04-05T10:00:00+0000
Go: go1.26.1
```
For full version management workflow (bump, release, build with version), see [`version-management-guide.md`](version-management-guide.md).
## Server Control Script
A shell script manages the server lifecycle:
```bash
cd /Users/gabrielradureau/Work/Vibe/DanceLessonsCoach
./scripts/start-server.sh start # Start the server
./scripts/start-server.sh status # Check server status
./scripts/start-server.sh test # Test API endpoints
./scripts/start-server.sh logs # View server logs
./scripts/start-server.sh stop # Stop the server
./scripts/start-server.sh restart # Restart
```
**Available subcommands:**
- `start` — Start the server in background with proper logging
- `stop` — Stop the server gracefully
- `restart` — Restart the server
- `status` — Check if server is running
- `logs` — Show recent server logs
- `test` — Test all API endpoints
## Manual Server Management
For direct control:
```bash
cd /Users/gabrielradureau/Work/Vibe/DanceLessonsCoach
./scripts/start-server.sh start
```
**Expected output:**
```
Server running on :8080
[INF] Starting HTTP server on :8080
[TRC] Registering greet routes
[TRC] Greet routes registered
```
**Features:**
- Context-aware server initialization
- Graceful shutdown handling
- Signal-based termination (`SIGINT`, `SIGTERM`)
- 30-second shutdown timeout
- Proper resource cleanup
## Configuration
Configuration via environment variables with `DLC_` prefix:
| Option | Environment Variable | Default | Description |
|---|---|---|---|
| Host | `DLC_SERVER_HOST` | `0.0.0.0` | Server bind address |
| Port | `DLC_SERVER_PORT` | `8080` | Server listening port |
| Shutdown Timeout | `DLC_SHUTDOWN_TIMEOUT` | `30s` | Graceful shutdown timeout |
| JSON Logging | `DLC_LOGGING_JSON` | `false` | Enable JSON format logging |
| Log Output | `DLC_LOGGING_OUTPUT` | `""` | Log output file path (empty for stderr) |
**Examples:**
```bash
# Custom port
export DLC_SERVER_PORT=9090
./scripts/start-server.sh start
# Custom host and port
export DLC_SERVER_HOST="127.0.0.1"
export DLC_SERVER_PORT=8081
./scripts/start-server.sh start
# Custom shutdown timeout
export DLC_SHUTDOWN_TIMEOUT=45s
# Enable JSON logging
export DLC_LOGGING_JSON=true
# Log to file
export DLC_LOGGING_OUTPUT="server.log"
# Combined: JSON logging to file
export DLC_LOGGING_JSON=true
export DLC_LOGGING_OUTPUT="server.json.log"
```
**Configuration File Support:**
A `config.example.yaml` file is provided as a template. By default, the application looks for `config.yaml` in the current working directory.
To specify a custom config file path, set the `DLC_CONFIG_FILE` environment variable:
```bash
DLC_CONFIG_FILE="/path/to/config.yaml" go run ./cmd/server
```
Example `config.yaml`:
```yaml
server:
host: "0.0.0.0"
port: 8080
shutdown:
timeout: 30s
logging:
json: false
```
**Configuration Loading Precedence:**
1. **File-based configuration** (highest precedence)
2. **Environment variables** (override defaults, overridden by config file)
3. **Default values** (fallback)
All configuration is validated on startup. Invalid configurations cause server startup failure. Configuration values and source are logged at startup.
**Verification:**
```bash
DLC_SERVER_PORT=9090 DLC_SERVER_HOST="127.0.0.1" ./scripts/start-server.sh start
curl http://127.0.0.1:9090/api/health
# Expected: {"status":"healthy"}
```
## Server Status
```bash
# Check health endpoint
curl -s http://localhost:8080/api/health
# Check readiness endpoint
curl -s http://localhost:8080/api/ready
```
**Expected responses:**
- Health: `{"status":"healthy"}`
- Readiness (normal): `{"ready":true}`
- Readiness (during shutdown): `{"ready":false}` (HTTP 503)
**Endpoint Differences:**
- **Health endpoint** (`/api/health`): Indicates if the application is running and functional
- **Readiness endpoint** (`/api/ready`): Indicates if the application is ready to accept traffic
**Use Cases:**
- **Health**: Used by load balancers to check if the app is alive
- **Readiness**: Used by Kubernetes / service meshes to determine if the app can accept new requests
**During Graceful Shutdown:**
- Health endpoint continues to return `{"status":"healthy"}`
- Readiness endpoint returns `{"ready":false}` with HTTP 503 Service Unavailable
- This allows existing requests to complete while preventing new requests
## Stopping the Server
To stop the server gracefully:
```bash
# Send SIGTERM for graceful shutdown
kill -TERM $(lsof -ti :8080)
# Or send SIGINT (Ctrl+C equivalent)
pkill -INT -f "go run"
```
**Graceful shutdown process:**
1. Server receives termination signal
2. Logs shutdown message
3. Stops accepting new connections
4. Waits up to 30 seconds for active requests to complete
5. Closes all connections cleanly
6. Exits with proper cleanup
For force stop (if graceful shutdown hangs):
```bash
kill -9 $(lsof -ti :8080)
```
**Verification:**
```bash
curl -s http://localhost:8080/api/health
# Should return connection refused
```

View File

@@ -0,0 +1,59 @@
# Code Examples
Snippets and patterns used across the `dance-lessons-coach` codebase. Extracted from the original `AGENTS.md` (Tâche 6 restructure).
## Adding a New API Endpoint
```go
// 1. Add to interface
func (h *apiV1GreetHandler) RegisterRoutes(router chi.Router) {
router.Get("/", h.handleGreetQuery)
router.Get("/{name}", h.handleGreetPath)
router.Post("/custom", h.handleCustomGreet) // New endpoint
}
// 2. Implement handler
func (h *apiV1GreetHandler) handleCustomGreet(w http.ResponseWriter, r *http.Request) {
// Parse request
// Call service
// Return JSON response
}
```
## Logging with Zerolog
```go
// Trace level logging
log.Trace().Ctx(ctx).Str("key", "value").Msg("message")
// Info level
log.Info().Msg("Important event")
// Error level
log.Error().Err(err).Msg("Error occurred")
```
For the full logging strategy (when to use Trace vs Info, performance considerations), see [ADR-0003 — Zerolog Logging](../adr/0003-zerolog-logging.md).
## Using `context.Context`
```go
// Pass context through calls
func handler(w http.ResponseWriter, r *http.Request) {
result := service.Greet(r.Context(), "John")
// ...
}
// Create context with values
ctx := context.WithValue(r.Context(), "key", "value")
// Create context with timeout
ctx, cancel := context.WithTimeout(r.Context(), 5*time.Second)
defer cancel()
```
For the rationale behind context-aware services, see [ADR-0004 — Interface-Based Design](../adr/0004-interface-based-design.md).
## Best Practices Reminders
For higher-level guidance on code organization, error handling, performance, and testing, see [`AGENT_USAGE_GUIDE.md`](AGENT_USAGE_GUIDE.md#best-practices) section "Best Practices".

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@@ -0,0 +1,83 @@
# Development History
This document records the historical development phases of `dance-lessons-coach`. Extracted from the original `AGENTS.md` (Tâche 6 restructure) for lazy-loading compatibility with Mistral Vibe (128k context).
All phases below are **completed** ✅. They are kept here for traceability and onboarding context — refer to ADRs (`adr/`) for the technical decisions behind each phase.
## Phase 1: Foundation
- Go 1.26.1 environment setup
- Project structure with `cmd/` and `pkg/` directories
- Core Greet service implementation
- CLI interface
- Unit tests
## Phase 2: Web API
- Chi router integration
- Versioned API endpoints (`/api/v1`)
- Health endpoint (`/api/health`)
- JSON responses with proper headers
## Phase 3: Logging & Architecture
- Zerolog integration with Trace level
- Context-aware logging
- Interface-based design patterns
- Dependency injection
## Phase 4: Documentation & Testing
- Comprehensive `AGENTS.md`
- `README.md` with usage instructions
- Server management guide
- API endpoint documentation
## Phase 5: Configuration Management
- Viper integration for configuration
- Environment variable support with `DLC_` prefix
- Customizable server host/port
- Configurable shutdown timeout
- Configuration validation and logging
- Example configuration file
## Phase 6: Graceful Shutdown
- Context-aware server initialization
- Signal-based termination (`SIGINT`, `SIGTERM`)
- Configurable shutdown timeout
- Readiness endpoint for Kubernetes/service mesh integration
- Proper resource cleanup during shutdown
- Health endpoint remains healthy during graceful shutdown
## Phase 7: OpenTelemetry Integration
- OpenTelemetry Go libraries integration
- Jaeger compatibility for distributed tracing
- Middleware-only approach using `otelhttp.NewHandler`
- Configurable sampling strategies
- Graceful shutdown of tracer provider
- OTLP exporter with gRPC support
## Phase 8: Build System & Documentation
- Build script for binary compilation
- Binary output to `bin/` directory
- Comprehensive commit conventions with gitmoji reference
- Updated documentation with Jaeger integration guide
- Cleaned up configuration files
- Enhanced logging configuration with file output support
## Phase 9: Final Refinements
- Removed unnecessary `time.Sleep` for log flushing
- Changed server operational logs from Info to Trace level
- Moved all logging setup logic to config package
- Simplified server entrypoint to 27 lines
- Verified all functionality with comprehensive testing
- Updated documentation to reflect final architecture
## Beyond Phase 9
Subsequent work (CI/CD, BDD scenarios, ADR audit, JWT, config hot-reloading) is tracked in the [Changelog](../CHANGELOG.md) and the corresponding [ADRs](../adr/).

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@@ -0,0 +1,94 @@
# Observability — OpenTelemetry & Jaeger Integration
Tracing setup for `dance-lessons-coach`. Extracted from the original `AGENTS.md` (Tâche 6 restructure) for lazy-loading compatibility with Mistral Vibe.
The application supports OpenTelemetry for distributed tracing with Jaeger compatibility.
## Configuration
Enable OpenTelemetry in your `config.yaml`:
```yaml
telemetry:
enabled: true
otlp_endpoint: "localhost:4317"
service_name: "dance-lessons-coach"
insecure: true
sampler:
type: "parentbased_always_on"
ratio: 1.0
```
Or via environment variables:
```bash
export DLC_TELEMETRY_ENABLED=true
export DLC_TELEMETRY_OTLP_ENDPOINT="localhost:4317"
export DLC_TELEMETRY_SERVICE_NAME="dance-lessons-coach"
export DLC_TELEMETRY_INSECURE=true
export DLC_TELEMETRY_SAMPLER_TYPE="parentbased_always_on"
export DLC_TELEMETRY_SAMPLER_RATIO=1.0
```
## Testing with Jaeger
**1. Start Jaeger in Docker:**
```bash
docker run -d --name jaeger \
-e COLLECTOR_OTLP_ENABLED=true \
-p 16686:16686 \
-p 4317:4317 \
jaegertracing/all-in-one:latest
```
**2. Start the server with OpenTelemetry enabled:**
```bash
# Using config file
./scripts/start-server.sh start
# Or with environment variables
DLC_TELEMETRY_ENABLED=true ./scripts/start-server.sh start
```
**3. Make API requests:**
```bash
curl http://localhost:8080/api/v1/greet/John
```
**4. View traces in Jaeger UI:**
Open http://localhost:16686 and select the `dance-lessons-coach` service.
## Sampler Types
| Sampler | Behavior |
|---|---|
| `always_on` | Sample all traces |
| `always_off` | Sample no traces |
| `traceidratio` | Sample based on trace ID ratio |
| `parentbased_always_on` | Sample based on parent span (always on) |
| `parentbased_always_off` | Sample based on parent span (always off) |
| `parentbased_traceidratio` | Sample based on parent span with ratio |
## Testing Script
A convenience script is provided:
```bash
./scripts/test-opentelemetry.sh
```
This script:
1. Starts Jaeger container
2. Starts the server with OpenTelemetry
3. Makes test API calls
4. Shows Jaeger UI URL
5. Cleans up on exit
## ADR Reference
See [ADR-0007 — OpenTelemetry Integration](../adr/0007-opentelemetry-integration.md) for the full architectural decision and rationale (middleware-only approach, sampling strategy, OTLP/gRPC choice).

40
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@@ -0,0 +1,40 @@
# Roadmap & Future Enhancements
Tracking pending features and architectural improvements. Extracted from the original `AGENTS.md` (Tâche 6 restructure). Status updated continuously — items move to "Completed Features" section once shipped.
## Potential Features
- [ ] Database integration
- [ ] Authentication / Authorization
- [ ] Rate limiting
- [ ] Metrics and monitoring
- [ ] Docker containerization
- ✅ CI/CD pipeline ([ADR-0016](../adr/0016-ci-cd-pipeline-design.md), [ADR-0017](../adr/0017-trunk-based-development-workflow.md))
- [ ] Configuration hot reload
- [ ] Circuit breakers
## Architectural Improvements
- [ ] Request validation middleware
- ✅ OpenAPI / Swagger documentation with embedded spec
- [ ] Enhanced OpenTelemetry instrumentation
- [ ] Metrics collection and visualization
- [ ] Health check improvements
- [ ] Configuration validation enhancements
## Completed Features
- ✅ Graceful shutdown with readiness endpoint
- ✅ OpenTelemetry integration with Jaeger support
- ✅ Configuration management with Viper
- ✅ Comprehensive logging with Zerolog
- ✅ Build system with binary output
- ✅ Complete documentation with commit conventions
- ✅ Version management with runtime info
## How to Propose a New Feature
1. Open a Gitea issue describing the use case and acceptance criteria
2. If the feature implies an architectural decision, draft an ADR (`adr/<NNNN>-<slug>.md`) following the template
3. Reference the ADR + issue in any PR introducing the feature
4. Update this roadmap (move from "Potential" to "Completed" when shipped)

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@@ -0,0 +1,107 @@
# Troubleshooting
Common issues and their resolution. Extracted from the original `AGENTS.md` and merged with relevant sections from `AGENT_USAGE_GUIDE.md` and `BDD_GUIDE.md`. Refer back to those guides for context-specific troubleshooting (agent workflows, BDD test failures).
## Port Already in Use
```bash
# Find and kill process using port 8080
kill -TERM $(lsof -ti :8080)
# Force kill if graceful does not work
kill -9 $(lsof -ti :8080)
```
## Server Not Responding
```bash
# Check if running
curl -s http://localhost:8080/api/health
# Restart server using control script
./scripts/start-server.sh restart
# View recent logs
./scripts/start-server.sh logs
```
If health endpoint returns connection refused, the server may have crashed. Check logs in `./scripts/start-server.sh logs` for stack traces.
## Dependency Issues
```bash
# Clean and rebuild
go mod tidy
go build ./...
# If dependency version conflicts persist
go mod download
go mod verify
```
## Tests Failing
### Unit tests
```bash
# Run with verbose output
go test -v ./...
# Check specific test
go test ./pkg/greet/ -run TestName
```
### BDD tests
See [`BDD_GUIDE.md`](BDD_GUIDE.md) for the full BDD troubleshooting workflow (Godog setup, scenario isolation, step matching). Common BDD issues:
- **Step not found** → check `pkg/bdd/steps/` for the step definition file
- **Scenario state leaking** → review [ADR-0025](../adr/0025-bdd-scenario-isolation-strategies.md) for the isolation pattern
- **Database not reset** → ensure the test fixtures cleanup runs (BDD scenario After hooks)
## Configuration Not Loading
The application logs the configuration source at startup. Check logs for:
```
[INF] Configuration loaded from: file:config.yaml
# or
[INF] Configuration loaded from: env
# or
[INF] Configuration loaded from: defaults
```
If config is not loading as expected:
1. Verify file exists and is readable: `ls -la config.yaml`
2. Verify env vars are exported: `env | grep DLC_`
3. Check for typos in keys (case-sensitive)
4. Review [`AGENT_USAGE_GUIDE.md`](AGENT_USAGE_GUIDE.md) section "Configuration troubleshooting"
## OpenTelemetry Not Tracing
1. Verify Jaeger is running: `docker ps | grep jaeger`
2. Check `DLC_TELEMETRY_ENABLED=true` in environment or `telemetry.enabled: true` in config
3. Verify OTLP endpoint reachable: `nc -zv localhost 4317`
4. Check sampler is not `always_off`
5. See [`OBSERVABILITY.md`](OBSERVABILITY.md) for full setup
## Build Failures
```bash
# Clear caches
go clean -cache -modcache
go mod download
# Rebuild
go build ./...
```
If errors persist, see [`local-ci-cd-testing.md`](local-ci-cd-testing.md) for the CI/CD pipeline that mirrors the production build.
## Where to Look Next
- **Agent-specific issues** (vibe, mistral, programmer agent) → [`AGENT_USAGE_GUIDE.md`](AGENT_USAGE_GUIDE.md)
- **BDD-specific issues** → [`BDD_GUIDE.md`](BDD_GUIDE.md)
- **Version/release issues** → [`version-management-guide.md`](version-management-guide.md)
- **CI/CD issues** → [`local-ci-cd-testing.md`](local-ci-cd-testing.md)

View File

@@ -69,7 +69,7 @@ This workflow can be triggered manually or on test/feature branches.
### 1. Run the Interactive Script
```bash
cd /Users/gabrielradureau/Work/Vibe/DanceLessonsCoach
cd /Users/gabrielradureau/Work/Vibe/dance-lessons-coach
./scripts/test-local-ci-cd.sh
```

View File

@@ -8,7 +8,7 @@ This document clarifies the security-critical aspect of the password reset workf
## 🎯 Security Principle
The DanceLessonsCoach password reset system follows a **zero-trust, admin-controlled** security model:
The dance-lessons-coach password reset system follows a **zero-trust, admin-controlled** security model:
```mermaid
graph TD
@@ -234,4 +234,4 @@ func (s *AuthService) ResetPasswordWithoutAuth(username, newPassword string) err
---
*DanceLessonsCoach - Secure by design, private by default 🔒*
*dance-lessons-coach - Secure by design, private by default 🔒*

View File

@@ -2,7 +2,7 @@
## Overview
The DanceLessonsCoach user management and authentication system provides secure user authentication, personalized experiences, and administrative capabilities. This document describes the system architecture, API endpoints, and integration points.
The dance-lessons-coach user management and authentication system provides secure user authentication, personalized experiences, and administrative capabilities. This document describes the system architecture, API endpoints, and integration points.
## Architecture

View File

@@ -1,6 +1,6 @@
# Version Management Guide
This guide provides comprehensive instructions for managing versions in the DanceLessonsCoach project.
This guide provides comprehensive instructions for managing versions in the dance-lessons-coach project.
## 📋 Table of Contents
@@ -13,7 +13,7 @@ This guide provides comprehensive instructions for managing versions in the Danc
## 📖 Semantic Versioning
DanceLessonsCoach follows [Semantic Versioning 2.0.0](https://semver.org/):
dance-lessons-coach follows [Semantic Versioning 2.0.0](https://semver.org/):
### Version Format: `MAJOR.MINOR.PATCH-PRERELEASE`
@@ -360,6 +360,6 @@ git push origin v1.0.1
---
**Maintained by:** DanceLessonsCoach Team
**Maintained by:** dance-lessons-coach Team
**Last Updated:** 2026-04-05
**Version:** 1.0

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@@ -0,0 +1,346 @@
# BDD Test Tags Documentation
This document describes the tagging system used in the dance-lessons-coach BDD tests for selective test execution.
## Tag Categories
### Feature Tags
Used to categorize tests by feature area:
- `@auth` - Authentication and user management tests
- `@config` - Configuration and hot reloading tests
- `@greet` - Greeting service tests
- `@health` - Health check and monitoring tests
- `@jwt` - JWT secret rotation and retention tests
### Priority Tags
Used to categorize tests by importance:
- `@smoke` - Basic smoke tests that verify core functionality
- `@critical` - Critical path tests that must always pass
- `@basic` - Basic functionality tests
- `@advanced` - Advanced or edge case scenarios
- `@nice_to_have` - Optional features that would be nice to have but aren't critical
### Component Tags
Used to categorize tests by system component:
- `@api` - API endpoint tests
- `@v2` - Version 2 API tests
- `@database` - Database interaction tests
- `@security` - Security-related tests
### Exclusion Tags
Used to exclude tests from execution:
- `@flaky` - Tests that are unstable or intermittently fail
- `@todo` - Tests with pending step implementations
- `@skip` - Tests that should be skipped entirely
### Nice-to-Have Tag
The `@nice_to_have` tag is used to mark scenarios that test optional features or enhancements. These are features that would be beneficial to have but aren't critical for the core functionality of the system.
**Usage:**
- Add `@nice_to_have` to scenarios testing optional features
- These scenarios are typically excluded from critical path testing
- Useful for marking "stretch goal" functionality
**Example:**
```gherkin
@nice_to_have @greet
Scenario: Greeting with custom formatting options
Given the server is running
When I request a greeting with bold formatting
Then the response should contain HTML bold tags
```
### Work In Progress Tag
Used to override exclusions for active development:
- `@wip` - Work In Progress - overrides exclusion tags to allow focused development
**Usage:** Add `@wip` to scenarios you're actively working on, even if they have other exclusion tags like `@todo` or `@skip`. The `@wip` tag takes precedence and allows the scenario to run.
**Example:**
```gherkin
@todo @wip
Scenario: JWT authentication with multiple secrets
Given the server is running with multiple JWT secrets
When I authenticate with valid credentials
Then I should receive a valid JWT token
```
### Command-Line Tag Override
You can override the default tag filtering by setting the `GODOG_TAGS` environment variable when running tests.
**Usage:**
```bash
# Run only @wip scenarios
GODOG_TAGS="@wip" go test ./features/jwt/...
# Run smoke tests only
GODOG_TAGS="@smoke" go test ./features/...
# Run specific combination
GODOG_TAGS="@jwt && ~@todo" go test ./features/...
# Combine with other environment variables
DLC_DATABASE_HOST=localhost GODOG_TAGS="@wip" go test ./features/jwt/...
```
### Test Randomization Control
You can control test execution order using the `GODOG_RANDOM_SEED` environment variable.
**Usage:**
```bash
# Use random test order (default)
GODOG_RANDOM_SEED="" go test ./features/
# Use fixed seed for reproducible test runs
GODOG_RANDOM_SEED=17925 go test ./features/
# Combine with tag filtering
GODOG_RANDOM_SEED=17925 GODOG_TAGS="@wip" go test ./features/
# Debug specific test failures by reproducing exact execution order
GODOG_RANDOM_SEED=17925 DLC_DATABASE_HOST=localhost go test ./features/jwt/
```
**Benefits:**
- **Reproducibility**: Same seed produces same test order
- **Debugging**: Easily reproduce failed test runs
- **CI/CD**: Set fixed seeds for consistent test execution
- **Backward compatible**: Defaults to random order when not specified
**Example from test output:**
```
30 scenarios (11 passed, 19 failed)
147 steps (104 passed, 19 failed, 24 skipped)
4.474215346s
Randomized with seed: 17925
```
To reproduce this exact test run:
```bash
GODOG_RANDOM_SEED=17925 go test ./features/
```
### Random Port Selection (Default Behavior)
By default, BDD tests use **random ports** (10000-19999) to prevent port conflicts during parallel execution. This ensures tests can run reliably in CI/CD pipelines and when executed multiple times.
**Benefits:**
- ✅ No port conflicts in parallel test execution
- ✅ Safe for repeated test runs
- ✅ Better for CI/CD environments
**Disable random ports (not recommended):**
```bash
FIXED_TEST_PORT=true go test ./features/...
```
**Force specific port (debugging only):**
```bash
# Create a test config file with fixed port
echo "server:
port: 9191" > test-config.yaml
FEATURE=debug FIXED_TEST_PORT=true go test ./features/...
```
### Test Validation Process
To ensure test suite stability, follow this validation process:
**Validation Command:**
```bash
# Clean cache and run all tests 20 times
echo "🧪 Validating test suite stability..."
for i in {1..20}; do
echo "Run $i/20..."
go clean -testcache
if ! go test ./... > /dev/null 2>&1; then
echo "❌ Test run $i failed"
go test ./... -v
exit 1
fi
done
echo "✅ All 20 test runs passed successfully!"
```
**Failure Handling:**
- If any test fails during validation, mark it as `@wip` and investigate
- Use `@flaky` tag for intermittently failing tests
- Document the issue in the test scenario comments
**Success Criteria:**
- ✅ 100% pass rate across 20 consecutive runs
- ✅ No undefined/pending steps
- ✅ No race conditions or port conflicts
- ✅ Consistent execution time
**CI/CD Integration:**
```yaml
- name: Validate Test Suite
run: |
echo "🧪 Running 20 validation runs..."
for i in {1..20}; do
echo "Run $i/20"
go clean -testcache
go test ./... || exit 1
done
echo "✅ Test suite validated successfully"
```
### Stop On Failure Control
You can control whether tests stop on first failure using the `GODOG_STOP_ON_FAILURE` environment variable.
**Usage:**
```bash
# Stop on first failure (strict mode)
GODOG_STOP_ON_FAILURE="true" go test ./features/jwt/...
# Continue after failures (lenient mode)
GODOG_STOP_ON_FAILURE="false" go test ./features/jwt/...
# Combine with tag filtering
GODOG_TAGS="@wip" GODOG_STOP_ON_FAILURE="true" go test ./features/jwt/...
```
**Default Behavior:**
- If `GODOG_TAGS` is not set, the test uses the default tag filter: `~@flaky && ~@todo && ~@skip`
- If `GODOG_STOP_ON_FAILURE` is not set, each feature uses its default:
- `jwt`, `greet`, `auth`, `health`: `true` (stop on failure)
- `config`, `all features`: `false` (continue after failures)
## Usage Examples
### Running Smoke Tests
```bash
# Run all smoke tests
godog --tags=@smoke features/
# Run smoke tests for specific feature
godog --tags=@smoke features/auth/
```
### Running Critical Tests
```bash
# Run all critical tests
godog --tags=@critical features/
# Run critical health tests
godog --tags=@critical,@health features/
```
### Running Feature-Specific Tests
```bash
# Run all auth tests
godog --tags=@auth features/
# Run v2 API tests
godog --tags=@v2 features/
```
### Combining Tags
```bash
# Run smoke tests for auth and health features
godog --tags=@smoke,@auth,@health features/
# Run critical API tests
godog --tags=@critical,@api features/
```
## Tagging Conventions
1. **Feature tags** should be applied at the feature level
2. **Priority tags** should be applied at the scenario level
3. **Component tags** should be applied at the scenario level
4. **Multiple tags** can be applied to a single scenario
### Example Feature File
```gherkin
@health @smoke
Feature: Health Endpoint
The health endpoint should indicate server status
@basic @critical
Scenario: Health check returns healthy status
Given the server is running
When I request the health endpoint
Then the response should be "{\"status\":\"healthy\"}"
@advanced @api
Scenario: Health check with authentication
Given the server is running with auth enabled
When I request the health endpoint with valid token
Then the response should be "{\"status\":\"healthy\"}"
```
## Test Execution Scripts
### Feature-Specific Testing
```bash
# Test specific feature
./scripts/test-feature.sh greet
# Test with specific tags
./scripts/test-by-tag.sh @smoke greet
```
### Tag-Based Testing
```bash
# Run smoke tests for all features
./scripts/test-by-tag.sh @smoke
# Run critical auth tests
./scripts/test-by-tag.sh @critical auth
```
## CI/CD Integration
### Smoke Test Pipeline
```yaml
- name: Run Smoke Tests
run: godog --tags=@smoke features/
```
### Critical Path Testing
```yaml
- name: Run Critical Tests
run: godog --tags=@critical features/
```
### Feature-Specific Testing
```yaml
- name: Test Auth Feature
run: ./scripts/test-feature.sh auth
```
## Best Practices
1. **Tag consistently** - Apply tags consistently across similar scenarios
2. **Prioritize tests** - Use priority tags to identify critical tests
3. **Document tags** - Keep this documentation updated with new tags
4. **Review tags** - Regularly review tag usage to ensure relevance
5. **CI/CD optimization** - Use tags to optimize CI/CD pipeline execution times
## Tag Reference
| Tag | Purpose | Example Usage |
|-----|---------|--------------|
| `@smoke` | Smoke tests | `@smoke` on critical features |
| `@critical` | Critical path | `@critical` on essential scenarios |
| `@basic` | Basic functionality | `@basic` on standard scenarios |
| `@advanced` | Advanced scenarios | `@advanced` on edge cases |
| `@nice_to_have` | Optional features | `@nice_to_have` on stretch goal scenarios |
| `@auth` | Authentication | `@auth` on auth features |
| `@config` | Configuration | `@config` on config scenarios |
| `@api` | API endpoints | `@api` on endpoint tests |
| `@v2` | V2 API | `@v2` on version 2 tests |
| `@flaky` | Exclude flaky tests | `@flaky` on unstable scenarios |
| `@todo` | Exclude pending tests | `@todo` on unimplemented scenarios |
| `@skip` | Exclude tests entirely | `@skip` on disabled scenarios |
| `@wip` | Work in progress | `@wip` on actively developed scenarios |
## Future Enhancements
- **Performance tags** - `@fast`, `@slow` for performance categorization
- **Environment tags** - `@ci`, `@local` for environment-specific tests
- **Risk tags** - `@high-risk`, `@low-risk` for risk-based testing
- **Automated tag validation** - Script to validate tag usage consistency

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@@ -0,0 +1,16 @@
package auth
import (
"testing"
"dance-lessons-coach/pkg/bdd/testsetup"
)
func TestAuthBDD(t *testing.T) {
config := testsetup.NewFeatureConfig("auth", "progress", false)
suite := testsetup.CreateTestSuite(t, config, "dance-lessons-coach BDD Tests - Auth Feature")
if suite.Run() != 0 {
t.Fatal("non-zero status returned, failed to run auth BDD tests")
}
}

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@@ -0,0 +1,152 @@
# features/user_authentication.feature
Feature: User Authentication
As a user
I want to authenticate with the system
So I can access personalized features
Scenario: Successful user authentication
Given the server is running
And a user "testuser" exists with password "testpass123"
When I authenticate with username "testuser" and password "testpass123"
Then the authentication should be successful
And I should receive a valid JWT token
Scenario: Failed authentication with wrong password
Given the server is running
And a user "testuser" exists with password "testpass123"
When I authenticate with username "testuser" and password "wrongpassword"
Then the authentication should fail
And the response should contain error "invalid_credentials"
Scenario: Failed authentication with non-existent user
Given the server is running
When I authenticate with username "nonexistent" and password "somepassword"
Then the authentication should fail
And the response should contain error "invalid_credentials"
Scenario: Admin authentication with master password
Given the server is running
When I authenticate as admin with master password "admin123"
Then the authentication should be successful
And I should receive a valid JWT token
And the token should contain admin claims
Scenario: User registration
Given the server is running
When I register a new user "newuser_" with password "newpass123"
Then the registration should be successful
And I should be able to authenticate with the new credentials
Scenario: Password reset request by admin
Given the server is running
And a user "resetuser" exists with password "oldpass123"
And I am authenticated as admin
When I request password reset for user "resetuser"
Then the password reset should be allowed
And the user should be flagged for password reset
Scenario: User completes password reset
Given the server is running
And a user "resetuser" exists and is flagged for password reset
When I complete password reset for "resetuser" with new password "newpass123"
Then the password reset should be successful
And I should be able to authenticate with the new password
Scenario: Failed password reset for non-existent user
Given the server is running
When I request password reset for user "nonexistent"
Then the password reset should fail
And the response should contain error "server_error"
Scenario: Failed password reset completion for non-existent user
Given the server is running
When I complete password reset for "nonexistent" with new password "newpass123"
Then the password reset should fail
And the response should contain error "server_error"
Scenario: Failed password reset completion for user not flagged
Given the server is running
And a user "normaluser" exists with password "oldpass123"
When I complete password reset for "normaluser" with new password "newpass123"
Then the password reset should fail
And the response should contain error "server_error"
Scenario: Failed registration with existing username
Given the server is running
And a user "existinguser" exists with password "testpass123"
When I register a new user "existinguser" with password "newpass123"
Then the registration should fail
And the response should contain error "user_exists"
And the status code should be 409
Scenario: Failed registration with invalid username
Given the server is running
When I register a new user "ab" with password "validpass123"
Then the registration should fail
And the status code should be 400
Scenario: Failed registration with invalid password
Given the server is running
When I register a new user "validuser" with password "short"
Then the registration should fail
And the status code should be 400
Scenario: Failed authentication with empty username
Given the server is running
When I authenticate with username "" and password "somepassword"
Then the authentication should fail with validation error
And the status code should be 400
Scenario: Failed authentication with empty password
Given the server is running
When I authenticate with username "someuser" and password ""
Then the authentication should fail with validation error
And the status code should be 400
Scenario: Failed admin authentication with wrong password
Given the server is running
When I authenticate as admin with master password "wrongadmin"
Then the authentication should fail
And the response should contain error "invalid_credentials"
Scenario: Multiple consecutive authentications
Given the server is running
And a user "multiuser" exists with password "testpass123"
When I authenticate with username "multiuser" and password "testpass123"
Then the authentication should be successful
And I should receive a valid JWT token
When I authenticate with username "multiuser" and password "testpass123" again
Then the authentication should be successful
And I should receive a different JWT token
Scenario: JWT token validation
Given the server is running
And a user "tokenuser" exists with password "testpass123"
When I authenticate with username "tokenuser" and password "testpass123"
Then the authentication should be successful
And I should receive a valid JWT token
When I validate the received JWT token
Then the token should be valid
And it should contain the correct user ID
Scenario: Authentication with expired JWT token
Given the server is running
And a user "expireduser" exists with password "testpass123"
When I authenticate with username "expireduser" and password "testpass123"
Then the authentication should be successful
And I should receive a valid JWT token
When I use an expired JWT token for authentication
Then the authentication should fail
And the response should contain error "invalid_token"
Scenario: Authentication with JWT token signed with wrong secret
Given the server is running
When I use a JWT token signed with wrong secret for authentication
Then the authentication should fail
And the response should contain error "invalid_token"
Scenario: Authentication with malformed JWT token
Given the server is running
When I use a malformed JWT token for authentication
Then the authentication should fail
And the response should contain error "invalid_token"

View File

@@ -3,22 +3,29 @@ package features
import (
"testing"
"dance-lessons-coach/pkg/bdd"
"github.com/cucumber/godog"
"dance-lessons-coach/pkg/bdd/testsetup"
)
func TestBDD(t *testing.T) {
suite := godog.TestSuite{
Name: "dance-lessons-coach BDD Tests",
TestSuiteInitializer: bdd.InitializeTestSuite,
ScenarioInitializer: bdd.InitializeScenario,
Options: &godog.Options{
Format: "progress",
Paths: []string{"."},
TestingT: t,
},
// Get feature name from environment variable or default to all features
feature := testsetup.GetFeatureFromEnv()
var suiteName string
var paths []string
if feature == "" {
// Run all features
suiteName = "dance-lessons-coach BDD Tests - All Features"
paths = testsetup.GetAllFeaturePaths()
} else {
// Run specific feature
suiteName = "dance-lessons-coach BDD Tests - " + feature + " Feature"
paths = []string{feature}
}
config := testsetup.NewMultiFeatureConfig(paths, "progress", false)
suite := testsetup.CreateMultiFeatureTestSuite(t, config, suiteName)
if suite.Run() != 0 {
t.Fatal("non-zero status returned, failed to run BDD tests")
}

View File

@@ -0,0 +1,83 @@
# features/config_hot_reloading.feature
Feature: Config Hot Reloading
The system should support selective hot reloading of configuration changes
@flaky
Scenario: Hot reloading logging level changes
Given the server is running with config file monitoring enabled
When I update the logging level to "debug" in the config file
Then the logging level should be updated without restart
And debug logs should appear in the output
@flaky
Scenario: Hot reloading feature flags
Given the server is running with config file monitoring enabled
And the v2 API is disabled
When I enable the v2 API in the config file
Then the v2 API should become available without restart
And v2 API requests should succeed
@flaky
Scenario: Hot reloading telemetry sampling settings
Given the server is running with config file monitoring enabled
And telemetry is enabled
When I update the sampler type to "parentbased_traceidratio" in the config file
And I set the sampler ratio to "0.5" in the config file
Then the telemetry sampling should be updated without restart
And the new sampling settings should be applied
@flaky
Scenario: Hot reloading JWT TTL
Given the server is running with config file monitoring enabled
And JWT TTL is set to 1 hour
When I update the JWT TTL to 2 hours in the config file
Then the JWT TTL should be updated without restart
And new JWT tokens should have the updated expiration
@flaky
Scenario: Attempting to hot reload non-reloadable settings should be ignored
Given the server is running with config file monitoring enabled
When I update the server port to 9090 in the config file
Then the server port should remain unchanged
And the server should continue running on the original port
And a warning should be logged about ignored configuration change
@flaky
Scenario: Invalid configuration changes should be handled gracefully
Given the server is running with config file monitoring enabled
When I update the logging level to "invalid_level" in the config file
Then the logging level should remain unchanged
And an error should be logged about invalid configuration
And the server should continue running normally
@flaky
Scenario: Config file monitoring should handle file deletion gracefully
Given the server is running with config file monitoring enabled
When I delete the config file
Then the server should continue running with last known good configuration
And a warning should be logged about missing config file
@flaky
Scenario: Config file monitoring should handle file recreation
Given the server is running with config file monitoring enabled
And I have deleted the config file
When I recreate the config file with valid configuration
Then the server should reload the configuration
And the new configuration should be applied
@flaky
Scenario: Multiple rapid configuration changes should be handled
Given the server is running with config file monitoring enabled
When I rapidly update the logging level multiple times
Then all changes should be processed in order
And the final configuration should be applied
And no configuration changes should be lost
@flaky
Scenario: Configuration changes should be audited
Given the server is running with config file monitoring enabled
And audit logging is enabled
When I update the logging level to "info" in the config file
Then an audit log entry should be created
And the audit entry should contain the previous and new values
And the audit entry should contain the timestamp of the change

View File

@@ -0,0 +1,16 @@
package config
import (
"testing"
"dance-lessons-coach/pkg/bdd/testsetup"
)
func TestConfigBDD(t *testing.T) {
config := testsetup.NewFeatureConfig("config", "progress", false)
suite := testsetup.CreateTestSuite(t, config, "dance-lessons-coach BDD Tests - Config Feature")
if suite.Run() != 0 {
t.Fatal("non-zero status returned, failed to run config BDD tests")
}
}

View File

@@ -1,17 +1,21 @@
# features/greet.feature
@greet @smoke
Feature: Greet Service
The greet service should return appropriate greetings
@basic
Scenario: Default greeting
Given the server is running
When I request the default greeting
Then the response should be "{\"message\":\"Hello world!\"}"
@basic
Scenario: Personalized greeting
Given the server is running
When I request a greeting for "John"
Then the response should be "{\"message\":\"Hello John!\"}"
@v2 @api
Scenario: v2 greeting with JSON POST request
Given the server is running with v2 enabled
When I send a POST request to v2 greet with name "John"

View File

@@ -0,0 +1,30 @@
package greet
import (
"os"
"testing"
"dance-lessons-coach/pkg/bdd/testsetup"
)
func TestGreetBDD(t *testing.T) {
// Test suite with v2 disabled - run non-v2 scenarios only
t.Run("v1", func(t *testing.T) {
os.Setenv("GODOG_TAGS", "~@v2 && ~@skip")
config := testsetup.NewFeatureConfig("greet", "progress", false)
suite := testsetup.CreateTestSuite(t, config, "dance-lessons-coach BDD Tests - Greet Feature v1")
if suite.Run() != 0 {
t.Fatal("non-zero status returned, failed to run greet BDD tests with v2 disabled")
}
})
// Test suite with v2 enabled - run v2 scenarios only
t.Run("v2", func(t *testing.T) {
os.Setenv("GODOG_TAGS", "@v2 && ~@skip")
config := testsetup.NewFeatureConfig("greet", "progress", false)
suite := testsetup.CreateTestSuite(t, config, "dance-lessons-coach BDD Tests - Greet Feature v2")
if suite.Run() != 0 {
t.Fatal("non-zero status returned, failed to run greet BDD tests with v2 enabled")
}
})
}

View File

@@ -1,7 +1,9 @@
# features/health.feature
@health @smoke @critical
Feature: Health Endpoint
The health endpoint should indicate server status
@basic @critical
Scenario: Health check returns healthy status
Given the server is running
When I request the health endpoint

View File

@@ -0,0 +1,16 @@
package health
import (
"testing"
"dance-lessons-coach/pkg/bdd/testsetup"
)
func TestHealthBDD(t *testing.T) {
config := testsetup.NewFeatureConfig("health", "progress", false)
suite := testsetup.CreateTestSuite(t, config, "dance-lessons-coach BDD Tests - Health Feature")
if suite.Run() != 0 {
t.Fatal("non-zero status returned, failed to run health BDD tests")
}
}

View File

@@ -0,0 +1,181 @@
# features/jwt_secret_retention.feature
Feature: JWT Secret Retention Policy
As a system administrator
I want automatic cleanup of expired JWT secrets
So that we can maintain security while ensuring system performance
Background:
Given the server is running with JWT secret retention configured
And the default JWT TTL is 24 hours
And the retention factor is 2.0
And the maximum retention is 72 hours
Scenario: Automatic cleanup of expired secrets
Given a primary JWT secret exists
And I add a secondary JWT secret with 1 hour expiration
When I wait for the retention period to elapse
Then the expired secondary secret should be automatically removed
And the primary secret should remain active
And I should see cleanup event in logs
Scenario: Secret retention based on TTL factor
Given the JWT TTL is set to 2 hours
And the retention factor is 3.0
When I add a new JWT secret
Then the secret should expire after 6 hours
And the retention period should be 6 hours
Scenario: Maximum retention period enforcement
Given the JWT TTL is set to 72 hours
And the retention factor is 3.0
And the maximum retention is 72 hours
When I add a new JWT secret
Then the retention period should be capped at 72 hours
And not exceed the maximum retention limit
Scenario: Cleanup preserves primary secret
Given a primary JWT secret exists
And the primary secret is older than retention period
When the cleanup job runs
Then the primary secret should not be removed
And the primary secret should remain active
@todo
Scenario: Multiple secrets with different ages
Given I have 3 JWT secrets of different ages
And secret A is 1 hour old (within retention)
And secret B is 50 hours old (expired)
And secret C is the primary secret
When the cleanup job runs
Then secret A should be retained
And secret B should be removed
And secret C should be retained as primary
@todo
Scenario: Cleanup frequency configuration
Given the cleanup interval is set to 30 minutes
When I add an expired JWT secret
Then it should be removed within 30 minutes
And I should see cleanup events every 30 minutes
@todo
Scenario: Token validation with expired secret
Given a user "retentionuser" exists with password "testpass123"
And I authenticate with username "retentionuser" and password "testpass123"
And I receive a valid JWT token signed with current secret
When I wait for the secret to expire
And I try to validate the expired token
Then the token validation should fail
And I should receive "invalid_token" error
@todo
Scenario: Graceful rotation during retention period
Given a user "gracefuluser" exists with password "testpass123"
And I authenticate with username "gracefuluser" and password "testpass123"
And I receive a valid JWT token signed with primary secret
When I add a new secondary secret and rotate to it
And I authenticate again with username "gracefuluser" and password "testpass123"
Then I should receive a new token signed with secondary secret
And the old token should still be valid during retention period
And both tokens should work until retention period expires
Scenario: Configuration validation
Given I set retention factor to 0.5
When I try to start the server
Then I should receive configuration validation error
And the error should mention "retention_factor must be 1.0"
@todo @nice_to_have
Scenario: Metrics for secret retention
Given I have enabled Prometheus metrics
When the cleanup job removes expired secrets
Then I should see "jwt_secrets_expired_total" metric increment
And I should see "jwt_secrets_active_count" metric decrease
And I should see "jwt_secret_retention_duration_seconds" histogram update
@todo @nice_to_have
Scenario: Log masking for security
Given I add a new JWT secret "super-secret-key-123456"
When the cleanup job runs
Then the logs should show masked secret "supe****123456"
And not expose the full secret in logs
@todo
Scenario: Cleanup with high volume of secrets
Given I have 1000 JWT secrets
And 300 of them are expired
When the cleanup job runs
Then it should complete within 100 milliseconds
And remove all 300 expired secrets
And not impact server performance
@todo
Scenario: Disabled cleanup via configuration
Given I set cleanup interval to 8760 hours
When I add expired JWT secrets
Then they should not be automatically removed
And manual cleanup should still be possible
@todo
Scenario: Retention period calculation edge cases
Given the JWT TTL is 1 hour
And the retention factor is 1.0
When I add a new JWT secret
Then the retention period should be 1 hour
And the secret should expire after 1 hour
@todo
Scenario: Secret validation with retention policy
Given I try to add an invalid JWT secret
When the secret is less than 16 characters
Then I should receive validation error
And the error should mention "must be at least 16 characters"
@todo
Scenario: Cleanup job error handling
Given the cleanup job encounters an error
When it tries to remove a secret
Then it should log the error
And continue with remaining secrets
And not crash the cleanup process
@todo
Scenario: Configuration reload without restart
Given the server is running with default retention settings
When I update the retention factor via configuration
Then the new settings should take effect immediately
And existing secrets should be reevaluated
And cleanup should use new retention periods
@todo @nice_to_have
Scenario: Audit trail for secret operations
Given I enable audit logging
When I add a new JWT secret
Then I should see audit log entry with event type "secret_added"
And when the secret is removed by cleanup
Then I should see audit log entry with event type "secret_removed"
@todo
Scenario: Retention policy with token refresh
Given a user "refreshuser" exists with password "testpass123"
And I authenticate and receive token A
When I refresh my token during retention period
Then I should receive new token B
And token A should still be valid until retention expires
And both tokens should work concurrently
@todo
Scenario: Emergency secret rotation
Given a security incident requires immediate rotation
When I rotate to a new primary secret
Then old tokens should be invalidated immediately
And new tokens should use the emergency secret
And cleanup should remove compromised secrets
@todo @nice_to_have
Scenario: Monitoring and alerting
Given I have monitoring configured
When the cleanup job fails repeatedly
Then I should receive alert notification
And the alert should include error details
And suggest remediation steps

View File

@@ -0,0 +1,54 @@
# features/jwt_secret_rotation.feature
Feature: JWT Secret Rotation
As a system administrator
I want to rotate JWT secrets without disrupting users
So that we can maintain security while ensuring continuous service
Scenario: Authentication with multiple valid JWT secrets
Given the server is running with multiple JWT secrets
And a user "multiuser" exists with password "testpass123"
When I authenticate with username "multiuser" and password "testpass123"
Then the authentication should be successful
And I should receive a valid JWT token signed with the primary secret
Scenario: Token validation with multiple valid secrets
Given the server is running with multiple JWT secrets
And a user "tokenuser" exists with password "testpass123"
When I authenticate with username "tokenuser" and password "testpass123"
Then the authentication should be successful
And I should receive a valid JWT token
When I validate a JWT token signed with the secondary secret
Then the token should be valid
And it should contain the correct user ID
Scenario: Secret rotation - adding new secret while keeping old one valid
Given the server is running with primary JWT secret
And a user "rotateuser" exists with password "testpass123"
When I authenticate with username "rotateuser" and password "testpass123"
Then the authentication should be successful
And I should receive a valid JWT token signed with the primary secret
When I add a new secondary JWT secret to the server
And I authenticate with username "rotateuser" and password "testpass123" again
Then the authentication should be successful
And I should receive a valid JWT token signed with the new secondary secret
When I validate the old JWT token signed with primary secret
Then the token should still be valid
Scenario: Token rejection after secret expiration
Given the server is running with primary and expired secondary JWT secrets
When I use a JWT token signed with the expired secondary secret for authentication
Then the authentication should fail
And the response should contain error "invalid_token"
Scenario: Graceful secret rotation with user continuity
Given the server is running with primary JWT secret
And a user "gracefuluser" exists with password "testpass123"
When I authenticate with username "gracefuluser" and password "testpass123"
Then the authentication should be successful
And I should receive a valid JWT token signed with the primary secret
When I add a new secondary JWT secret and rotate to it
And I use the old JWT token signed with primary secret
Then the token should still be valid during retention period
When I authenticate with username "gracefuluser" and password "testpass123" after rotation
Then the authentication should be successful
And I should receive a valid JWT token signed with the new secondary secret

16
features/jwt/jwt_test.go Normal file
View File

@@ -0,0 +1,16 @@
package jwt
import (
"testing"
"dance-lessons-coach/pkg/bdd/testsetup"
)
func TestJWTBDD(t *testing.T) {
config := testsetup.NewFeatureConfig("jwt", "pretty", false)
suite := testsetup.CreateTestSuite(t, config, "dance-lessons-coach BDD Tests - JWT Feature")
if suite.Run() != 0 {
t.Fatal("non-zero status returned, failed to run jwt BDD tests")
}
}

18
go.mod
View File

@@ -8,9 +8,12 @@ require (
github.com/go-playground/locales v0.14.1
github.com/go-playground/universal-translator v0.18.1
github.com/go-playground/validator/v10 v10.30.2
github.com/golang-jwt/jwt/v5 v5.3.1
github.com/lib/pq v1.12.3
github.com/rs/zerolog v1.35.0
github.com/spf13/cobra v1.8.0
github.com/spf13/viper v1.21.0
github.com/stretchr/testify v1.11.1
github.com/swaggo/http-swagger v1.3.4
github.com/swaggo/swag v1.16.6
go.opentelemetry.io/contrib/instrumentation/net/http/otelhttp v0.67.0
@@ -18,6 +21,10 @@ require (
go.opentelemetry.io/otel/exporters/otlp/otlptrace/otlptracegrpc v1.43.0
go.opentelemetry.io/otel/sdk v1.43.0
go.opentelemetry.io/otel/trace v1.43.0
golang.org/x/crypto v0.49.0
gorm.io/driver/postgres v1.6.0
gorm.io/driver/sqlite v1.6.0
gorm.io/gorm v1.31.1
)
require (
@@ -26,6 +33,7 @@ require (
github.com/cespare/xxhash/v2 v2.3.0 // indirect
github.com/cucumber/gherkin/go/v26 v26.2.0 // indirect
github.com/cucumber/messages/go/v21 v21.0.1 // indirect
github.com/davecgh/go-spew v1.1.1 // indirect
github.com/felixge/httpsnoop v1.0.4 // indirect
github.com/fsnotify/fsnotify v1.9.0 // indirect
github.com/gabriel-vasile/mimetype v1.4.13 // indirect
@@ -43,12 +51,20 @@ require (
github.com/hashicorp/go-memdb v1.3.5 // indirect
github.com/hashicorp/golang-lru v1.0.2 // indirect
github.com/inconshreveable/mousetrap v1.1.0 // indirect
github.com/jackc/pgpassfile v1.0.0 // indirect
github.com/jackc/pgservicefile v0.0.0-20240606120523-5a60cdf6a761 // indirect
github.com/jackc/pgx/v5 v5.6.0 // indirect
github.com/jackc/puddle/v2 v2.2.2 // indirect
github.com/jinzhu/inflection v1.0.0 // indirect
github.com/jinzhu/now v1.1.5 // indirect
github.com/josharian/intern v1.0.0 // indirect
github.com/leodido/go-urn v1.4.0 // indirect
github.com/mailru/easyjson v0.7.6 // indirect
github.com/mattn/go-colorable v0.1.14 // indirect
github.com/mattn/go-isatty v0.0.20 // indirect
github.com/mattn/go-sqlite3 v1.14.22 // indirect
github.com/pelletier/go-toml/v2 v2.2.4 // indirect
github.com/pmezard/go-difflib v1.0.0 // indirect
github.com/sagikazarmark/locafero v0.11.0 // indirect
github.com/sourcegraph/conc v0.3.1-0.20240121214520-5f936abd7ae8 // indirect
github.com/spf13/afero v1.15.0 // indirect
@@ -61,7 +77,6 @@ require (
go.opentelemetry.io/otel/metric v1.43.0 // indirect
go.opentelemetry.io/proto/otlp v1.10.0 // indirect
go.yaml.in/yaml/v3 v3.0.4 // indirect
golang.org/x/crypto v0.49.0 // indirect
golang.org/x/mod v0.33.0 // indirect
golang.org/x/net v0.52.0 // indirect
golang.org/x/sync v0.20.0 // indirect
@@ -73,4 +88,5 @@ require (
google.golang.org/grpc v1.80.0 // indirect
google.golang.org/protobuf v1.36.11 // indirect
gopkg.in/yaml.v2 v2.4.0 // indirect
gopkg.in/yaml.v3 v3.0.1 // indirect
)

25
go.sum
View File

@@ -56,6 +56,8 @@ github.com/gofrs/uuid v4.2.0+incompatible/go.mod h1:b2aQJv3Z4Fp6yNu3cdSllBxTCLRx
github.com/gofrs/uuid v4.3.1+incompatible/go.mod h1:b2aQJv3Z4Fp6yNu3cdSllBxTCLRxnplIgP/c0N/04lM=
github.com/gofrs/uuid v4.4.0+incompatible h1:3qXRTX8/NbyulANqlc0lchS1gqAVxRgsuW1YrTJupqA=
github.com/gofrs/uuid v4.4.0+incompatible/go.mod h1:b2aQJv3Z4Fp6yNu3cdSllBxTCLRxnplIgP/c0N/04lM=
github.com/golang-jwt/jwt/v5 v5.3.1 h1:kYf81DTWFe7t+1VvL7eS+jKFVWaUnK9cB1qbwn63YCY=
github.com/golang-jwt/jwt/v5 v5.3.1/go.mod h1:fxCRLWMO43lRc8nhHWY6LGqRcf+1gQWArsqaEUEa5bE=
github.com/golang/protobuf v1.5.4 h1:i7eJL8qZTpSEXOPTxNKhASYpMn+8e5Q6AdndVa1dWek=
github.com/golang/protobuf v1.5.4/go.mod h1:lnTiLA8Wa4RWRcIUkrtSVa5nRhsEGBg48fD6rSs7xps=
github.com/google/go-cmp v0.7.0 h1:wk8382ETsv4JYUZwIsn6YpYiWiBsYLSJiTsyBybVuN8=
@@ -79,6 +81,18 @@ github.com/hashicorp/golang-lru v1.0.2 h1:dV3g9Z/unq5DpblPpw+Oqcv4dU/1omnb4Ok8iP
github.com/hashicorp/golang-lru v1.0.2/go.mod h1:iADmTwqILo4mZ8BN3D2Q6+9jd8WM5uGBxy+E8yxSoD4=
github.com/inconshreveable/mousetrap v1.1.0 h1:wN+x4NVGpMsO7ErUn/mUI3vEoE6Jt13X2s0bqwp9tc8=
github.com/inconshreveable/mousetrap v1.1.0/go.mod h1:vpF70FUmC8bwa3OWnCshd2FqLfsEA9PFc4w1p2J65bw=
github.com/jackc/pgpassfile v1.0.0 h1:/6Hmqy13Ss2zCq62VdNG8tM1wchn8zjSGOBJ6icpsIM=
github.com/jackc/pgpassfile v1.0.0/go.mod h1:CEx0iS5ambNFdcRtxPj5JhEz+xB6uRky5eyVu/W2HEg=
github.com/jackc/pgservicefile v0.0.0-20240606120523-5a60cdf6a761 h1:iCEnooe7UlwOQYpKFhBabPMi4aNAfoODPEFNiAnClxo=
github.com/jackc/pgservicefile v0.0.0-20240606120523-5a60cdf6a761/go.mod h1:5TJZWKEWniPve33vlWYSoGYefn3gLQRzjfDlhSJ9ZKM=
github.com/jackc/pgx/v5 v5.6.0 h1:SWJzexBzPL5jb0GEsrPMLIsi/3jOo7RHlzTjcAeDrPY=
github.com/jackc/pgx/v5 v5.6.0/go.mod h1:DNZ/vlrUnhWCoFGxHAG8U2ljioxukquj7utPDgtQdTw=
github.com/jackc/puddle/v2 v2.2.2 h1:PR8nw+E/1w0GLuRFSmiioY6UooMp6KJv0/61nB7icHo=
github.com/jackc/puddle/v2 v2.2.2/go.mod h1:vriiEXHvEE654aYKXXjOvZM39qJ0q+azkZFrfEOc3H4=
github.com/jinzhu/inflection v1.0.0 h1:K317FqzuhWc8YvSVlFMCCUb36O/S9MCKRDI7QkRKD/E=
github.com/jinzhu/inflection v1.0.0/go.mod h1:h+uFLlag+Qp1Va5pdKtLDYj+kHp5pxUVkryuEj+Srlc=
github.com/jinzhu/now v1.1.5 h1:/o9tlHleP7gOFmsnYNz3RGnqzefHA47wQpKrrdTIwXQ=
github.com/jinzhu/now v1.1.5/go.mod h1:d3SSVoowX0Lcu0IBviAWJpolVfI5UJVZZ7cO71lE/z8=
github.com/josharian/intern v1.0.0 h1:vlS4z54oSdjm0bgjRigI+G1HpF+tI+9rE5LLzOg8HmY=
github.com/josharian/intern v1.0.0/go.mod h1:5DoeVV0s6jJacbCEi61lwdGj/aVlrQvzHFFd8Hwg//Y=
github.com/kr/pretty v0.1.0/go.mod h1:dAy3ld7l9f0ibDNOQOHHMYYIIbhfbHSm3C4ZsoJORNo=
@@ -91,6 +105,8 @@ github.com/kr/text v0.2.0 h1:5Nx0Ya0ZqY2ygV366QzturHI13Jq95ApcVaJBhpS+AY=
github.com/kr/text v0.2.0/go.mod h1:eLer722TekiGuMkidMxC/pM04lWEeraHUUmBw8l2grE=
github.com/leodido/go-urn v1.4.0 h1:WT9HwE9SGECu3lg4d/dIA+jxlljEa1/ffXKmRjqdmIQ=
github.com/leodido/go-urn v1.4.0/go.mod h1:bvxc+MVxLKB4z00jd1z+Dvzr47oO32F/QSNjSBOlFxI=
github.com/lib/pq v1.12.3 h1:tTWxr2YLKwIvK90ZXEw8GP7UFHtcbTtty8zsI+YjrfQ=
github.com/lib/pq v1.12.3/go.mod h1:/p+8NSbOcwzAEI7wiMXFlgydTwcgTr3OSKMsD2BitpA=
github.com/mailru/easyjson v0.0.0-20190614124828-94de47d64c63/go.mod h1:C1wdFJiN94OJF2b5HbByQZoLdCWB1Yqtg26g4irojpc=
github.com/mailru/easyjson v0.0.0-20190626092158-b2ccc519800e/go.mod h1:C1wdFJiN94OJF2b5HbByQZoLdCWB1Yqtg26g4irojpc=
github.com/mailru/easyjson v0.7.6 h1:8yTIVnZgCoiM1TgqoeTl+LfU5Jg6/xL3QhGQnimLYnA=
@@ -99,6 +115,8 @@ github.com/mattn/go-colorable v0.1.14 h1:9A9LHSqF/7dyVVX6g0U9cwm9pG3kP9gSzcuIPHP
github.com/mattn/go-colorable v0.1.14/go.mod h1:6LmQG8QLFO4G5z1gPvYEzlUgJ2wF+stgPZH1UqBm1s8=
github.com/mattn/go-isatty v0.0.20 h1:xfD0iDuEKnDkl03q4limB+vH+GxLEtL/jb4xVJSWWEY=
github.com/mattn/go-isatty v0.0.20/go.mod h1:W+V8PltTTMOvKvAeJH7IuucS94S2C6jfK/D7dTCTo3Y=
github.com/mattn/go-sqlite3 v1.14.22 h1:2gZY6PC6kBnID23Tichd1K+Z0oS6nE/XwU+Vz/5o4kU=
github.com/mattn/go-sqlite3 v1.14.22/go.mod h1:Uh1q+B4BYcTPb+yiD3kU8Ct7aC0hY9fxUwlHK0RXw+Y=
github.com/niemeyer/pretty v0.0.0-20200227124842-a10e7caefd8e/go.mod h1:zD1mROLANZcx1PVRCS0qkT7pwLkGfwJo4zjcN/Tysno=
github.com/pelletier/go-toml/v2 v2.2.4 h1:mye9XuhQ6gvn5h28+VilKrrPoQVanw5PMw/TB0t5Ec4=
github.com/pelletier/go-toml/v2 v2.2.4/go.mod h1:2gIqNv+qfxSVS7cM2xJQKtLSTLUE9V8t9Stt+h56mCY=
@@ -131,6 +149,7 @@ github.com/stretchr/objx v0.4.0/go.mod h1:YvHI0jy2hoMjB+UWwv71VJQ9isScKT/TqJzVSS
github.com/stretchr/objx v0.5.0/go.mod h1:Yh+to48EsGEfYuaHDzXPcE3xhTkx73EhmCGUpEOglKo=
github.com/stretchr/testify v1.3.0/go.mod h1:M5WIy9Dh21IEIfnGCwXGc5bZfKNJtfHm1UVUgZn+9EI=
github.com/stretchr/testify v1.6.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
github.com/stretchr/testify v1.7.0/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
github.com/stretchr/testify v1.7.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
github.com/stretchr/testify v1.8.0/go.mod h1:yNjHg4UonilssWZ8iaSj1OCr/vHnekPRkoO+kdMU+MU=
github.com/stretchr/testify v1.8.1/go.mod h1:w2LPCIKwWwSfY2zedu0+kehJoqGctiVI29o6fzry7u4=
@@ -212,3 +231,9 @@ gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C
gopkg.in/yaml.v3 v3.0.0-20200615113413-eeeca48fe776/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
gorm.io/driver/postgres v1.6.0 h1:2dxzU8xJ+ivvqTRph34QX+WrRaJlmfyPqXmoGVjMBa4=
gorm.io/driver/postgres v1.6.0/go.mod h1:vUw0mrGgrTK+uPHEhAdV4sfFELrByKVGnaVRkXDhtWo=
gorm.io/driver/sqlite v1.6.0 h1:WHRRrIiulaPiPFmDcod6prc4l2VGVWHz80KspNsxSfQ=
gorm.io/driver/sqlite v1.6.0/go.mod h1:AO9V1qIQddBESngQUKWL9yoH93HIeA1X6V633rBwyT8=
gorm.io/gorm v1.31.1 h1:7CA8FTFz/gRfgqgpeKIBcervUn3xSyPUmr6B2WXJ7kg=
gorm.io/gorm v1.31.1/go.mod h1:XyQVbO2k6YkOis7C2437jSit3SsDK72s7n7rsSHd+Gs=

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