function test_email_handler
Maturity: 42
A test function that initializes an EmailHandler instance and verifies it can retrieve statistics, printing success or failure messages.
File:
/tf/active/vicechatdev/email-forwarder/test_service.py
Lines:
49 - 61
49 - 61
Complexity:
simple
simple
Purpose
This function serves as a unit test or diagnostic check to validate that the EmailHandler class can be properly instantiated and that its get_stats() method works correctly. It's typically used during development, testing, or system health checks to ensure the email handling component is functioning properly.
Source Code
def test_email_handler():
"""Test email handler initialization."""
print("Testing email handler...")
try:
handler = EmailHandler()
stats = handler.get_stats()
print(f"✓ Email handler initialized. Stats: {stats}")
return True
except Exception as e:
print(f"✗ Email handler error: {e}")
return False
Return Value
Returns a boolean value: True if the EmailHandler initializes successfully and get_stats() executes without errors, False if any exception occurs during initialization or stats retrieval.
Dependencies
loggingpathlibsysos
Required Imports
from forwarder.email_handler import EmailHandler
Usage Example
from forwarder.email_handler import EmailHandler
def test_email_handler():
"""Test email handler initialization."""
print("Testing email handler...")
try:
handler = EmailHandler()
stats = handler.get_stats()
print(f"✓ Email handler initialized. Stats: {stats}")
return True
except Exception as e:
print(f"✗ Email handler error: {e}")
return False
# Run the test
if __name__ == "__main__":
result = test_email_handler()
if result:
print("Test passed!")
else:
print("Test failed!")
Best Practices
- This function should be run in an environment where all EmailHandler dependencies are properly configured
- Ensure the EmailHandler class and its dependencies are available before calling this function
- The function prints to stdout, so it's best used in testing/debugging contexts rather than production code
- Consider using proper testing frameworks (pytest, unittest) instead of standalone test functions for production test suites
- The broad exception catching may hide specific initialization issues; consider logging the full traceback for debugging
- This function has no parameters, making it inflexible; consider parameterizing it to test different configurations
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