The code changes introduce asynchronous HTTP requests to an API, which is generally a low-risk operation. However, there are a few areas that could be improved for better error handling and code clarity:
Exception Handling: The print(\"Error:\", e) statements are not sufficient for production code. It would be better to log these errors using a logging framework that can be configured for different environments.
API Key Exposure: Ensure that the API key is not hardcoded or exposed in the code. It should be retrieved from environment variables or a secure configuration management system.
URL Scheme Validation: The print statement in the api_request function is not the best way to handle an unsupported URL scheme. It would be better to raise an exception to ensure that the caller can handle this error case appropriately.
raise ValueError(\"URL is not using HTTP or HTTPS\")
Magic Numbers: The max_age parameter is restricted to a range of 1 to 30 without explanation. It would be beneficial to define these as constants with comments explaining why these limits are in place.
MIN_AGE = 1
MAX_AGE = 30
if not MIN_AGE <= cli_args.max_age <= MAX_AGE:
raise ValueError(f\"max-age must be in range {MIN_AGE} to {MAX_AGE}\")
Resource Management: The response_and_connection['connection'].close() is called in multiple places. It would be cleaner to use a context manager to ensure that resources are always released, even if an exception occurs.
with connection:
# perform operations with connection
🔒🚦🛠️
🔒: Concerns about API key exposure and the need for secure management.
🚦: Suggestions for improved error handling and validation.
🛠️: Recommendations for code clarity and resource management.
Risk Level 2 - /home/runner/work/deep-license-plate-recognition/deep-license-plate-recognition/parkpow/remove-old-visits/remove_old_visits.py
The code changes introduce asynchronous HTTP requests to an API, which is generally a low-risk operation. However, there are a few areas that could be improved for better error handling and code clarity:
Exception Handling: The
print(\"Error:\", e)statements are not sufficient for production code. It would be better to log these errors using a logging framework that can be configured for different environments.API Key Exposure: Ensure that the API key is not hardcoded or exposed in the code. It should be retrieved from environment variables or a secure configuration management system.
URL Scheme Validation: The print statement in the
api_requestfunction is not the best way to handle an unsupported URL scheme. It would be better to raise an exception to ensure that the caller can handle this error case appropriately.Magic Numbers: The
max_ageparameter is restricted to a range of 1 to 30 without explanation. It would be beneficial to define these as constants with comments explaining why these limits are in place.Resource Management: The
response_and_connection['connection'].close()is called in multiple places. It would be cleaner to use a context manager to ensure that resources are always released, even if an exception occurs.🔒🚦🛠️
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