feat(epic1): complete OpenTelemetry integration and add verification documentation

Story 1.6: OpenTelemetry Distributed Tracing
- Implemented tracer initialization with stdout (dev) and OTLP (prod) exporters
- Added HTTP request instrumentation via Gin middleware
- Integrated trace ID correlation in structured logs
- Added tracing configuration to config files
- Registered tracer provider in DI container

Documentation and Setup:
- Created Docker Compose setup for PostgreSQL database
- Added comprehensive Epic 1 summary with verification instructions
- Added Epic 0 summary with verification instructions
- Linked summaries in documentation index and epic READMEs
- Included detailed database testing instructions
- Added Docker Compose commands and troubleshooting guide

All Epic 1 stories (1.1-1.6) are now complete. Story 1.7 depends on Epic 2.
This commit is contained in:
2025-11-05 18:20:15 +01:00
parent 30320304f6
commit fde01bfc73
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@@ -43,8 +43,8 @@ All architectural decisions are documented in [ADR records](adr/README.md), orga
### 📝 Implementation Tasks
Detailed task definitions for each epic are available in the [Stories section](stories/README.md):
- Epic 0: Project Setup & Foundation
- Epic 1: Core Kernel & Infrastructure
- **[Epic 0: Project Setup & Foundation](stories/epic0/README.md)** - [Implementation Summary](stories/epic0/SUMMARY.md)
- **[Epic 1: Core Kernel & Infrastructure](stories/epic1/README.md)** - [Implementation Summary](stories/epic1/SUMMARY.md)
- Epic 2: Authentication & Authorization
- Epic 3: Module Framework
- Epic 4: Sample Feature Module (Blog)

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@@ -44,3 +44,7 @@ Initialize repository structure with proper Go project layout, implement configu
- Config loads from `config/default.yaml`
- Logger can be injected and used
- Application starts and shuts down gracefully
## Implementation Summary
- [Implementation Summary and Verification Instructions](./SUMMARY.md) - Complete guide on how to verify all Epic 0 functionality

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@@ -0,0 +1,152 @@
# Epic 0: Implementation Summary
## Overview
Epic 0 establishes the foundation of the Go Platform project with core infrastructure components that enable all future development. This epic includes project initialization, configuration management, structured logging, CI/CD pipeline, and dependency injection setup.
## Completed Stories
### ✅ 0.1 Project Initialization
- Go module initialized with proper module path
- Complete directory structure following Clean Architecture
- `.gitignore` configured for Go projects
- Comprehensive README with project overview
### ✅ 0.2 Configuration Management System
- `ConfigProvider` interface in `pkg/config/`
- Viper-based implementation in `internal/config/`
- YAML configuration files in `config/` directory
- Environment variable support with automatic mapping
- Type-safe configuration access methods
### ✅ 0.3 Structured Logging System
- `Logger` interface in `pkg/logger/`
- Zap-based implementation in `internal/logger/`
- JSON and console output formats
- Configurable log levels
- Request ID and context-aware logging support
### ✅ 0.4 CI/CD Pipeline
- GitHub Actions workflow for automated testing and linting
- Comprehensive Makefile with common development tasks
- Automated build and test execution
### ✅ 0.5 Dependency Injection and Bootstrap
- DI container using Uber FX in `internal/di/`
- Provider functions for core services
- Application entry point in `cmd/platform/main.go`
- Lifecycle management with graceful shutdown
## Verification Instructions
### Prerequisites
- Go 1.24 or later installed
- Make installed (optional, for using Makefile commands)
### 1. Verify Project Structure
```bash
# Check Go module
go mod verify
# Check directory structure
ls -la
# Should see: cmd/, internal/, pkg/, config/, docs/, etc.
```
### 2. Verify Configuration System
```bash
# Build the application
go build ./cmd/platform
# Check if config files exist
ls -la config/
# Should see: default.yaml, development.yaml, production.yaml
# Test config loading (will fail without database, but config should load)
# This will be tested in Epic 1 when database is available
```
### 3. Verify Logging System
```bash
# Run tests for logging
go test ./internal/logger/...
# Expected output: Tests should pass
```
### 4. Verify CI/CD Pipeline
```bash
# Run linting (if golangci-lint is installed)
make lint
# Run tests
make test
# Build the application
make build
# Binary should be created in bin/platform
# Run all checks
make check
```
### 5. Verify Dependency Injection
```bash
# Build the application
go build ./cmd/platform
# Check if DI container compiles
go build ./internal/di/...
# Run the application (will fail without database in Epic 1)
# go run ./cmd/platform/main.go
```
### 6. Verify Application Bootstrap
```bash
# Build the application
make build
# Check if binary exists
ls -la bin/platform
# The application should be ready to run (database connection will be tested in Epic 1)
```
## Testing Configuration
The configuration system can be tested by:
1. **Modifying config files**: Edit `config/default.yaml` and verify changes are loaded
2. **Environment variables**: Set `ENVIRONMENT=production` and verify production config is loaded
3. **Type safety**: Configuration access methods (`GetString`, `GetInt`, etc.) provide compile-time safety
## Testing Logging
The logging system can be tested by:
1. **Unit tests**: Run `go test ./internal/logger/...`
2. **Integration**: Logging will be tested in Epic 1 when HTTP server is available
3. **Format switching**: Change `logging.format` in config to switch between JSON and console output
## Common Issues and Solutions
### Issue: `go mod verify` fails
**Solution**: Run `go mod tidy` to update dependencies
### Issue: Build fails
**Solution**: Ensure Go 1.24+ is installed and all dependencies are downloaded (`go mod download`)
### Issue: Config not loading
**Solution**: Ensure `config/default.yaml` exists and is in the correct location relative to the binary
## Next Steps
After verifying Epic 0, proceed to [Epic 1](../epic1/SUMMARY.md) to set up the database and HTTP server, which will enable full end-to-end testing of the configuration and logging systems.

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@@ -56,3 +56,7 @@ Extend DI container to support all core services, implement database layer with
- Panic recovery logs errors via error bus
- Database migrations run on startup
- HTTP requests are traced with OpenTelemetry
## Implementation Summary
- [Implementation Summary and Verification Instructions](./SUMMARY.md) - Complete guide on how to verify all Epic 1 functionality, including database testing and Docker Compose setup

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@@ -0,0 +1,402 @@
# Epic 1: Implementation Summary
## Overview
Epic 1 implements the core kernel and infrastructure of the Go Platform, including database layer with Ent ORM, health monitoring, metrics, error handling, HTTP server, and OpenTelemetry tracing. This epic provides the foundation for all future modules and services.
## Completed Stories
### ✅ 1.1 Enhanced Dependency Injection Container
- Extended DI container with providers for all core services
- Database, health, metrics, error bus, and HTTP server providers
- Lifecycle management for all services
- `CoreModule()` exports all core services
### ✅ 1.2 Database Layer with Ent ORM
- Ent schema for User, Role, Permission, AuditLog entities
- Many-to-many relationships (User-Role, Role-Permission)
- Database client wrapper with connection pooling
- Automatic migrations on startup
- PostgreSQL support with connection management
### ✅ 1.3 Health Monitoring and Metrics System
- Health check registry with extensible checkers
- Database health checker
- Prometheus metrics with HTTP instrumentation
- `/healthz`, `/ready`, and `/metrics` endpoints
### ✅ 1.4 Error Handling and Error Bus
- Channel-based error bus with background consumer
- ErrorPublisher interface
- Panic recovery middleware
- Error context preservation
### ✅ 1.5 HTTP Server Foundation
- Gin-based HTTP server
- Comprehensive middleware stack:
- Request ID generation
- Structured logging
- Panic recovery with error bus
- Prometheus metrics
- CORS support
- Core routes registration
- Graceful shutdown
### ✅ 1.6 OpenTelemetry Distributed Tracing
- Tracer initialization with stdout (dev) and OTLP (prod) exporters
- HTTP request instrumentation
- Trace ID correlation in logs
- Configurable tracing
## Prerequisites
Before verifying Epic 1, ensure you have:
1. **Docker and Docker Compose** installed
2. **PostgreSQL client** (optional, for direct database access)
3. **Go 1.24+** installed
4. **curl** or similar HTTP client for testing endpoints
## Setup Instructions
### 1. Start PostgreSQL Database
The project includes a `docker-compose.yml` file for easy database setup:
```bash
# Start PostgreSQL container
docker-compose up -d postgres
# Verify container is running
docker-compose ps
# Check database logs
docker-compose logs postgres
```
The database will be available at:
- **Host**: `localhost`
- **Port**: `5432`
- **Database**: `goplt`
- **User**: `goplt`
- **Password**: `goplt_password`
### 2. Configure Database Connection
Update `config/default.yaml` or set environment variable:
```bash
# Option 1: Edit config/default.yaml
# Set database.dsn to:
database:
dsn: "postgres://goplt:goplt_password@localhost:5432/goplt?sslmode=disable"
# Option 2: Set environment variable
export DATABASE_DSN="postgres://goplt:goplt_password@localhost:5432/goplt?sslmode=disable"
```
### 3. Build and Run the Application
```bash
# Build the application
make build
# Or build directly
go build -o bin/platform ./cmd/platform
# Run the application
./bin/platform
# Or run directly
go run ./cmd/platform/main.go
```
The application will:
1. Load configuration
2. Initialize logger
3. Connect to database
4. Run migrations (create tables)
5. Start HTTP server on port 8080
## Verification Instructions
### 1. Verify Database Connection and Migrations
#### Option A: Using Application Logs
When you start the application, you should see:
- Database connection successful
- Migrations executed (tables created)
#### Option B: Using PostgreSQL Client
```bash
# Connect to database
docker exec -it goplt-postgres psql -U goplt -d goplt
# List tables (should see User, Role, Permission, AuditLog, etc.)
\dt
# Check a specific table structure
\d users
\d roles
\d permissions
\d audit_logs
# Exit psql
\q
```
#### Option C: Using SQL Query
```bash
# Execute SQL query
docker exec -it goplt-postgres psql -U goplt -d goplt -c "SELECT table_name FROM information_schema.tables WHERE table_schema = 'public';"
# Expected output should include:
# - users
# - roles
# - permissions
# - audit_logs
# - user_roles
# - role_permissions
```
### 2. Verify Health Endpoints
```bash
# Test liveness probe (should return 200)
curl http://localhost:8080/healthz
# Expected response:
# {"status":"healthy"}
# Test readiness probe (should return 200 if database is connected)
curl http://localhost:8080/ready
# Expected response:
# {"status":"healthy","components":[{"name":"database","status":"healthy"}]}
# If database is not connected, you'll see:
# {"status":"unhealthy","components":[{"name":"database","status":"unhealthy","error":"..."}]}
```
### 3. Verify Metrics Endpoint
```bash
# Get Prometheus metrics
curl http://localhost:8080/metrics
# Expected output should include:
# - http_request_duration_seconds
# - http_requests_total
# - http_errors_total
# - go_* (Go runtime metrics)
# - process_* (Process metrics)
```
### 4. Verify HTTP Server Functionality
```bash
# Make a request to trigger logging and metrics
curl -v http://localhost:8080/healthz
# Check application logs for:
# - Request ID in logs
# - Structured JSON logs
# - Request method, path, status, duration
```
### 5. Verify Error Handling
To test panic recovery and error bus:
```bash
# The error bus will capture any panics automatically
# Check logs for error bus messages when errors occur
```
### 6. Verify OpenTelemetry Tracing
#### Development Mode (stdout)
When `tracing.enabled: true` and `environment: development`, traces are exported to stdout:
```bash
# Start the application and make requests
curl http://localhost:8080/healthz
# Check application stdout for trace output
# Should see JSON trace spans with:
# - Trace ID
# - Span ID
# - Operation name
# - Attributes (method, path, status, etc.)
```
#### Verify Trace ID in Logs
```bash
# Make a request
curl http://localhost:8080/healthz
# Check application logs for trace_id and span_id fields
# Example log entry:
# {"level":"info","msg":"HTTP request","method":"GET","path":"/healthz","status":200,"trace_id":"...","span_id":"..."}
```
### 7. Verify Database Operations
#### Test Database Write
You can test database operations by creating a simple test script or using the database client directly. For now, verify that migrations worked (see Verification 1).
#### Test Database Health Check
```bash
# The /ready endpoint includes database health check
curl http://localhost:8080/ready
# If healthy, you'll see database component status: "healthy"
```
## Testing Database Specifically
### Direct Database Testing
1. **Connect to Database**:
```bash
docker exec -it goplt-postgres psql -U goplt -d goplt
```
2. **Verify Tables Exist**:
```sql
SELECT table_name
FROM information_schema.tables
WHERE table_schema = 'public'
ORDER BY table_name;
```
3. **Check Table Structures**:
```sql
-- Check users table
\d users
-- Check relationships
\d user_roles
\d role_permissions
```
4. **Test Insert Operation** (manual test):
```sql
-- Note: Ent generates UUIDs, so we'd need to use the Ent client
-- This is just to verify the schema is correct
-- Actual inserts should be done through the application/Ent client
```
### Using Application to Test Database
The database is automatically tested through:
1. **Migrations**: Run on startup - if they succeed, schema is correct
2. **Health Check**: `/ready` endpoint tests database connectivity
3. **Connection Pool**: Database client manages connections automatically
## Docker Compose Commands
```bash
# Start database
docker-compose up -d postgres
# Stop database
docker-compose stop postgres
# Stop and remove containers
docker-compose down
# Stop and remove containers + volumes (WARNING: deletes data)
docker-compose down -v
# View database logs
docker-compose logs -f postgres
# Access database shell
docker exec -it goplt-postgres psql -U goplt -d goplt
# Check database health
docker-compose ps
```
## Common Issues and Solutions
### Issue: Database connection fails
**Symptoms**: Application fails to start, error about database connection
**Solutions**:
1. Ensure PostgreSQL container is running: `docker-compose ps`
2. Check database DSN in config: `postgres://goplt:goplt_password@localhost:5432/goplt?sslmode=disable`
3. Verify port 5432 is not in use: `lsof -i :5432`
4. Check database logs: `docker-compose logs postgres`
### Issue: Migrations fail
**Symptoms**: Error during startup about migrations
**Solutions**:
1. Ensure database is accessible
2. Check database user has proper permissions
3. Verify Ent schema is correct: `go generate ./internal/ent`
4. Check for existing tables that might conflict
### Issue: Health check fails
**Symptoms**: `/ready` endpoint returns unhealthy
**Solutions**:
1. Verify database connection
2. Check database health: `docker-compose ps`
3. Review application logs for specific error
### Issue: Metrics not appearing
**Symptoms**: `/metrics` endpoint is empty or missing metrics
**Solutions**:
1. Make some HTTP requests first (metrics are collected per request)
2. Verify Prometheus registry is initialized
3. Check middleware is registered correctly
### Issue: Traces not appearing
**Symptoms**: No trace output in logs
**Solutions**:
1. Verify `tracing.enabled: true` in config
2. Check environment is set correctly (development = stdout, production = OTLP)
3. Make HTTP requests to generate traces
## Expected Application Output
When running successfully, you should see logs like:
```json
{"level":"info","msg":"Application starting","component":"bootstrap"}
{"level":"info","msg":"Database migrations completed"}
{"level":"info","msg":"HTTP server listening","addr":"0.0.0.0:8080"}
```
When making requests:
```json
{"level":"info","msg":"HTTP request","method":"GET","path":"/healthz","status":200,"duration_ms":5,"request_id":"...","trace_id":"...","span_id":"..."}
```
## Next Steps
After verifying Epic 1:
1. All core infrastructure is in place
2. Database is ready for Epic 2 (Authentication & Authorization)
3. HTTP server is ready for API endpoints
4. Observability is ready for production monitoring
Proceed to [Epic 2](../epic2/README.md) to implement authentication and authorization features.