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