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