[Feature] Include Swagger_version In Metrics Payload

May 14, 2025 by ADMIN 53 views

Improving Monitoring and Traceability with Swagger Version

In the current implementation of record_system_metrics, the metrics payload collected and sent includes system information and service URLs. However, it lacks a crucial piece of information - the version of the API. To enhance monitoring and traceability, it is essential to include the swagger_version defined in api/config/swagger_settings.py as part of the metrics_payload.

Expected Behavior

The expected behavior is to include a new field called version in the metrics_payload. The value of this field should be set to swagger_settings.swagger_version. This information should be included both in the logged JSON and in the payload posted to metrics_endpoint.

Including Swagger Version in Metrics Payload

To achieve this, we need to modify the record_system_metrics function to include the swagger_version in the metrics_payload. We can do this by adding a new field called version to the metrics_payload dictionary and setting its value to swagger_settings.swagger_version.

Code Modifications

The following code modifications are required to include the swagger_version in the metrics_payload:

# Import the required modules
from api.config import swagger_settings

# Define the record_system_metrics function
def record_system_metrics(metrics_endpoint, metrics_payload):
    # Include the swagger_version in the metrics_payload
    metrics_payload['version'] = swagger_settings.swagger_version
    
    # Log the metrics_payload
    logging.info('Metrics Payload: %s', metrics_payload)
    
    # Post the metrics_payload to the metrics_endpoint
    response = requests.post(metrics_endpoint, json=metrics_payload)
    
    # Check if the response was successful
    if response.status_code == 200:
        logging.info('Metrics sent successfully')
    else:
        logging.error('Error sending metrics: %s', response.text)

Testing the Modifications

To ensure that the modifications are working as expected, we need to test the record_system_metrics function. We can do this by calling the function with a sample metrics_payload and verifying that the swagger_version is included in the logged JSON and in the payload posted to the metrics_endpoint.

Sample Test Case

Here is a sample test case to verify the modifications:

# Define a test function
def test_record_system_metrics():
    # Create a sample metrics_payload
    metrics_payload = {
        'system_info': 'Sample system info',
        'service_urls': ['http://example.com/service1', 'http://example.com/service2']
    }
    
    # Call the record_system_metrics function
    record_system_metrics('http://example.com/metrics_endpoint', metrics_payload)
    
    # Verify that the swagger_version is included in the logged JSON
    logged_json = logging.info('Metrics Payload: %s', metrics_payload)
    assert 'version' in logged_json
    
    # Verify that the swagger_version is included in the payload posted to the metrics_endpoint
    response = requests.post('http://example.com/metrics_endpoint', json=metrics_payload)
    assert 'version' in response.text

Conclusion

Frequently Asked Questions

In this article, we will address some of the frequently asked questions related to including the swagger_version in the metrics_payload.

Q: Why is it necessary to include the swagger_version in the metrics_payload?

A: Including the swagger_version in the metrics_payload is necessary to improve monitoring and traceability. The swagger_version provides information about the API version, which is essential for understanding the behavior of the API and identifying any issues that may arise.

Q: How do I modify the record_system_metrics function to include the swagger_version in the metrics_payload?

A: To modify the record_system_metrics function to include the swagger_version in the metrics_payload, you need to add a new field called version to the metrics_payload dictionary and set its value to swagger_settings.swagger_version. The modified function should look like this:

# Import the required modules
from api.config import swagger_settings

# Define the record_system_metrics function
def record_system_metrics(metrics_endpoint, metrics_payload):
    # Include the swagger_version in the metrics_payload
    metrics_payload['version'] = swagger_settings.swagger_version
    
    # Log the metrics_payload
    logging.info('Metrics Payload: %s', metrics_payload)
    
    # Post the metrics_payload to the metrics_endpoint
    response = requests.post(metrics_endpoint, json=metrics_payload)
    
    # Check if the response was successful
    if response.status_code == 200:
        logging.info('Metrics sent successfully')
    else:
        logging.error('Error sending metrics: %s', response.text)

Q: How do I test the modifications to ensure that the swagger_version is included in the metrics_payload?

A: To test the modifications, you can create a sample metrics_payload and call the record_system_metrics function with it. You can then verify that the swagger_version is included in the logged JSON and in the payload posted to the metrics_endpoint. Here is a sample test case:

# Define a test function
def test_record_system_metrics():
    # Create a sample metrics_payload
    metrics_payload = {
        'system_info': 'Sample system info',
        'service_urls': ['http://example.com/service1', 'http://example.com/service2']
    }
    
    # Call the record_system_metrics function
    record_system_metrics('http://example.com/metrics_endpoint', metrics_payload)
    
    # Verify that the swagger_version is included in the logged JSON
    logged_json = logging.info('Metrics Payload: %s', metrics_payload)
    assert 'version' in logged_json
    
    # Verify that the swagger_version is included in the payload posted to the metrics_endpoint
    response = requests.post('http://example.com/metrics_endpoint', json=metrics_payload)
    assert 'version' in response.text

Q: What are the benefits of including the swagger_version in the metrics_payload?

A: The benefits of including the swagger_version in the metrics_payload include:

Improved monitoring and traceability
Enhanced understanding of API behavior
Identification of issues and errors
Better decision-making based on data-driven insights

Q: How do I troubleshoot issues related to including the swagger_version in the metrics_payload?

A: To troubleshoot issues related to including the swagger_version in the metrics_payload, you can:

Check the logged JSON for any errors or warnings
Verify that the swagger_version is included in the payload posted to the metrics_endpoint
Check the API documentation for any changes or updates related to the swagger_version
Consult with the development team or API experts for further assistance

Conclusion

In conclusion, including the swagger_version in the metrics_payload is a crucial step in improving monitoring and traceability. By modifying the record_system_metrics function to include the swagger_version, you can ensure that this information is included in the logged JSON and in the payload posted to the metrics_endpoint. The Q&A section provided in this article addresses some of the frequently asked questions related to including the swagger_version in the metrics_payload.