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Northern-Thailand-Ping-Rive…/tests/test_integration.py
grabowski 40aef686af
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Fix: Replace GitHub checkout with Gitea checkout + Version bump
Checkout Action Migration:
- Replace all 'actions/checkout@v4' with 'https://gitea.com/actions/checkout'
- Fixes 'Bad credentials' errors when workflows try to access GitHub API
- Native Gitea checkout action eliminates authentication issues
- Applied across all 4 workflow files (CI, Security, Release, Docs)

 Version Increment: 3.1.1  3.1.2
- Core application version updates
- Web API version synchronization
- Documentation version alignment
- Badge and release example updates

 Problem Solved:
- Workflows no longer attempt GitHub API calls
- Gitea-native checkout action handles repository access properly
- Eliminates 'Retrieving the default branch name' failures
- Cleaner workflow execution without authentication errors

 Files Updated:
- 4 workflow files: checkout action replacement
- 13 files: version number updates
- Consistent v3.1.2 across all components

 Benefits:
- Workflows will now run successfully in Gitea
- No more GitHub API authentication failures
- Native Gitea action compatibility
- Ready for successful CI/CD pipeline execution
2025-08-12 17:06:20 +07:00

210 lines
6.2 KiB
Python

#!/usr/bin/env python3
"""
Integration test script for the enhanced water monitoring system
"""
import sys
import os
import time
from datetime import datetime
# Add project root to Python path
project_root = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.insert(0, project_root)
def test_imports():
"""Test that all modules can be imported"""
print("Testing imports...")
try:
from src.config import Config
from src.models import WaterMeasurement, StationInfo
from src.exceptions import WaterMonitorException
from src.validators import DataValidator
from src.metrics import get_metrics_collector
from src.health_check import HealthCheckManager
from src.rate_limiter import RateLimiter
from src.logging_config import setup_logging
print("✅ All imports successful")
return True
except ImportError as e:
print(f"❌ Import failed: {e}")
return False
def test_configuration():
"""Test configuration validation"""
print("Testing configuration...")
try:
from src.config import Config
# Test configuration loading
settings = Config.get_all_settings()
print(f"✅ Configuration loaded: {len(settings)} settings")
# Test database config
db_config = Config.get_database_config()
print(f"✅ Database config: {db_config['type']}")
return True
except Exception as e:
print(f"❌ Configuration test failed: {e}")
return False
def test_metrics():
"""Test metrics collection"""
print("Testing metrics...")
try:
from src.metrics import increment_counter, set_gauge, record_histogram, get_metrics_collector
# Test metrics
increment_counter("test_counter", 5)
set_gauge("test_gauge", 42.0)
record_histogram("test_histogram", 1.5)
# Get metrics
collector = get_metrics_collector()
metrics = collector.get_all_metrics()
print(f"✅ Metrics collected: {len(metrics['counters'])} counters, {len(metrics['gauges'])} gauges")
return True
except Exception as e:
print(f"❌ Metrics test failed: {e}")
return False
def test_validation():
"""Test data validation"""
print("Testing data validation...")
try:
from src.validators import DataValidator
# Test valid measurement
valid_measurement = {
'timestamp': datetime.now(),
'station_id': 1,
'water_level': 5.5,
'discharge': 100.0,
'discharge_percent': 75.0
}
result = DataValidator.validate_measurement(valid_measurement)
if result:
print("✅ Valid measurement passed validation")
else:
print("❌ Valid measurement failed validation")
return False
# Test invalid measurement
invalid_measurement = {
'timestamp': datetime.now(),
'station_id': 999, # Invalid station ID
'water_level': -999.0, # Invalid water level
'discharge': -50.0 # Invalid discharge
}
result = DataValidator.validate_measurement(invalid_measurement)
if not result:
print("✅ Invalid measurement correctly rejected")
else:
print("❌ Invalid measurement incorrectly accepted")
return False
return True
except Exception as e:
print(f"❌ Validation test failed: {e}")
return False
def test_rate_limiter():
"""Test rate limiting"""
print("Testing rate limiter...")
try:
from src.rate_limiter import RateLimiter
# Create rate limiter (2 requests per second)
limiter = RateLimiter(max_requests=2, time_window_seconds=1)
# Test allowed requests
for i in range(2):
if not limiter.is_allowed():
print(f"❌ Request {i+1} should be allowed")
return False
# Test blocked request
if limiter.is_allowed():
print("❌ Third request should be blocked")
return False
print("✅ Rate limiter working correctly")
return True
except Exception as e:
print(f"❌ Rate limiter test failed: {e}")
return False
def test_logging():
"""Test logging configuration"""
print("Testing logging...")
try:
from src.logging_config import setup_logging, get_logger
# Setup logging
logger = setup_logging(log_level="INFO", enable_console=False)
# Get a logger
test_logger = get_logger("test")
test_logger.info("Test log message")
print("✅ Logging setup successful")
return True
except Exception as e:
print(f"❌ Logging test failed: {e}")
return False
def main():
"""Run all tests"""
print("🧪 Running integration tests for Northern Thailand Ping River Monitor v3.1.2")
print("=" * 60)
tests = [
test_imports,
test_configuration,
test_metrics,
test_validation,
test_rate_limiter,
test_logging
]
passed = 0
failed = 0
for test in tests:
try:
if test():
passed += 1
else:
failed += 1
except Exception as e:
print(f"❌ Test {test.__name__} crashed: {e}")
failed += 1
print()
print("=" * 60)
print(f"Test Results: {passed} passed, {failed} failed")
if failed == 0:
print("🎉 All tests passed! The system is ready to use.")
print("\nNext steps:")
print("1. Run 'python run.py --test' to test data collection")
print("2. Run 'python run.py --web-api' to start the web interface")
print("3. Visit http://localhost:8000 for the dashboard")
return True
else:
print("❌ Some tests failed. Please check the errors above.")
return False
if __name__ == "__main__":
success = main()
sys.exit(0 if success else 1)