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# KMS API - Failing Tests Analysis & Resolution Prompt
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## Context
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I have a Go-based Key Management Service (KMS) API with comprehensive end-to-end tests. The server is running successfully on port 8081, but several tests are failing due to database connectivity issues and some implementation gaps. I need help resolving these failing tests.
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## Current Test Results
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**Total Tests**: 22
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**Passing**: 17
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**Failing**: 6
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## Failing Tests Analysis
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### 1. Database Connectivity Issues (Primary Problem)
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```
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[FAIL] Readiness Check (Expected: 200, Got: 503)
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Response: {"status":"not ready","timestamp":"2025-08-22T17:17:03Z","checks":{"database":"unhealthy: sql: database is closed"}}
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[FAIL] List applications with auth (Expected: 200, Got: 500)
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Response: {"error":"Internal Server Error","message":"Failed to list applications"}
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[FAIL] List applications with pagination (Expected: 200, Got: 500)
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Response: {"error":"Internal Server Error","message":"Failed to list applications"}
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[FAIL] Create application (Expected: 201, Got: 500)
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Response: {"error":"Internal Server Error","message":"Failed to create application"}
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[FAIL] Missing content-type (Expected: 400, Got: 500)
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Response: {"error":"Internal Server Error","message":"Failed to create application"}
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```
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**Root Cause**: The server logs show `"sql: database is closed"` errors. The PostgreSQL database is not running or not properly connected.
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### 2. Edge Case Handling
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```
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[FAIL] Delete non-existent token (Expected: 500, Got: 204)
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```
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**Issue**: The delete token endpoint returns 204 (success) even for non-existent tokens, but the test expects 500 (error).
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## What Needs to be Completed
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### Priority 1: Database Setup & Connection
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1. **Start PostgreSQL Database**
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- Either start a local PostgreSQL instance
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- Or set up Docker container with PostgreSQL
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- Or configure the application to use an in-memory/mock database for testing
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2. **Database Configuration**
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- Verify database connection string in configuration
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- Ensure database migrations run successfully
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- Check that database tables are created properly
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3. **Connection Pool Management**
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- Fix the "database is closed" error
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- Ensure proper database connection lifecycle management
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- Verify connection pool settings
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### Priority 2: Application Service Implementation
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The application CRUD operations are failing, which suggests:
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1. **Repository Layer**: Verify PostgreSQL repository implementations work correctly
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2. **Service Layer**: Ensure application service properly handles database operations
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3. **Error Handling**: Improve error responses for database connectivity issues
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### Priority 3: Token Service Edge Cases
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1. **Delete Token Validation**: The delete token endpoint should return appropriate error codes for non-existent tokens
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2. **Error Response Consistency**: Ensure consistent error handling across all endpoints
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## Technical Details
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### Server Configuration
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- **Server Port**: 8081 (8080 was in use)
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- **Database**: PostgreSQL (currently not connected)
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- **Framework**: Gin (Go web framework)
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- **Architecture**: Clean architecture with repositories, services, and handlers
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### Key Files to Examine
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- `cmd/server/main.go` - Server startup and database initialization
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- `internal/database/postgres.go` - Database connection management
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- `internal/services/application_service.go` - Application CRUD operations
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- `internal/services/token_service.go` - Token management
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- `docker-compose.yml` - Database container configuration
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- `migrations/001_initial_schema.up.sql` - Database schema
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### Current Working State
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✅ **Working Endpoints**:
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- Health check (basic)
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- Authentication (login, verify, renew)
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- Token operations (create, list, delete - when not requiring complex validation)
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- Error handling for malformed JSON
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- API documentation
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❌ **Failing Endpoints**:
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- Readiness check (database health)
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- Application CRUD operations
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- Some edge case validations
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## Success Criteria
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After resolution, all 22 tests should pass:
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1. Database connectivity restored (readiness check returns 200)
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2. Application CRUD operations working (create, read, update, delete, list)
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3. Proper error handling for edge cases
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4. All endpoints returning expected HTTP status codes
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## How to Test
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Run the E2E test script to verify fixes:
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```bash
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BASE_URL=http://localhost:8081 ./test/e2e_test.sh
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```
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The test script provides detailed output showing exactly which endpoints are failing and what responses they're returning versus what's expected.
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## Additional Context
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- The server starts successfully and handles HTTP requests
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- Authentication middleware is working correctly
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- The issue appears to be primarily database-related
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- Some service implementations may have placeholder code that needs completion
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- The test suite is comprehensive and will clearly show when issues are resolved
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