fix(application): Handle logging setup failure with basic configuration. #42
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WalkthroughThe pull request introduces improvements to the logging configuration setup in the Changes
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🔇 Additional comments (3)
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Actionable comments posted: 3
📜 Review details
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Review profile: ASSERTIVE
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📒 Files selected for processing (1)
application/__init__.py(1 hunks)
🧰 Additional context used
🪛 Ruff (0.8.2)
application/__init__.py
32-32: Unnecessary open mode parameters
Remove open mode parameters
(UP015)
35-35: Do not use bare except
(E722)
44-44: Logging statement uses f-string
(G004)
🔇 Additional comments (1)
application/__init__.py (1)
29-30: No issues found in logger instantiation
These lines correctly instantiate the logger using the current module’s name, which is a standard practice.
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Actionable comments posted: 1
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📒 Files selected for processing (1)
application/__init__.py(1 hunks)
🔇 Additional comments (3)
application/__init__.py (3)
29-30: LGTM! Well-placed logger initialization
The logger initialization is correctly placed at the top and follows best practices by using __name__ for hierarchical logging.
32-38: LGTM! Robust error handling with fallback configuration
The implementation provides a solid fallback mechanism with proper exception handling and error logging. The use of logger.exception() ensures stack traces are captured for debugging.
The static analysis tool's suggestion about removing the explicit 'r' mode in open() from the previous review still applies.
39-44: 🧹 Nitpick (assertive)
Consider security implications of logging the entire config
While the implementation is structurally sound and uses proper logging practices, logging the entire config object might expose sensitive information (e.g., credentials, tokens) in log files.
Consider either:
- Redacting sensitive information before logging
- Logging only non-sensitive configuration keys
-logger.warning("Logging is set up with config=%s", config)
+logger.warning("Logging is set up with config keys: %s", list(config.keys()))Let's verify if the config contains sensitive data:
✅ Verification successful
Logging configuration is safe to display
After examining the log_config.yaml, I can confirm that the configuration does not contain any sensitive information. The config only includes standard logging setup parameters like formatters, handlers, and log levels. The warning message that logs the entire config is safe in this context.
Key observations:
- Configuration only contains logging-specific settings
- No credentials, tokens, or sensitive data present
- Standard logging setup with console handler and formatting options
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for potential sensitive keys in log_config.yaml
rg -i "password|token|key|secret|credential" log_config.yaml
Length of output: 62
Script:
#!/bin/bash
# Let's first check if log_config.yaml exists and its location
fd -g "*log*config*.{yaml,yml,json}"
# Let's also check the configuration setup in the application code
rg -A 5 "config.*=.*{" application/
rg -A 5 "log.*config" application/
Length of output: 1602
Script:
#!/bin/bash
# Let's examine the contents of log_config.yaml to understand the configuration structure
cat log_config.yaml
Length of output: 394
li-ruihao
changed the title
Description
Logic changes to logging initialization and configuration in
application/__init__.py. This was done to clarify the purposes of the code, fix a potential issue and to ensure readability and maintainability in the future.Fixing a Potential Issue
This PR resolves a potential issue from PR #28(merged). If line 29 of
application/__init__.pyfails, then the config variable will never be declared. In this case, the logging statement in line 36 will fail and raise a NameError, which leads to terminating the program.Summary by CodeRabbit
Bug Fixes
New Features