Clean up/Sanitize #3782
Clean up/Sanitize #3782
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📝 Walkthrough📝 WalkthroughWalkthroughThe changes in this pull request focus on enhancing error handling and logging across several classes in the Changes
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📜 Recent review detailsConfiguration used: CodeRabbit UI 📒 Files selected for processing (1)
🚧 Files skipped from review as they are similar to previous changes (1)
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Clean up
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (10)
src/workflows/airqo_etl_utils/data_validator.py (3)
274-274: Good improvement in exception handling!The use of
logger.exceptionis excellent as it automatically includes the stack trace. However, the error message could be more specific.Consider enhancing the error message to include the row data being processed:
-logger.exception(f"Error ocurred: {ex}") +logger.exception(f"Error processing row data: {ex}")
316-317: Minor: Simplify the warning messageThe f-string is used without any placeholders, which is unnecessary.
-logger.warning(f"No devices returned.") +logger.warning("No devices returned.")🧰 Tools
🪛 Ruff
317-317: f-string without any placeholders
Remove extraneous
fprefix(F541)
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1-317: Consider enhancing type safety and input validationThe code would benefit from:
- Adding return type hints to methods
- Adding input validation for critical parameters
- Adding docstrings to document the expected data formats
For example:
def fill_missing_columns( data: pd.DataFrame, cols: list[str] # More specific type hint ) -> pd.DataFrame: """ Fill missing columns in the DataFrame with None values. Args: data: Input DataFrame to process cols: List of column names to check and fill Returns: DataFrame with missing columns added Raises: ValueError: If data is None or empty """ if data is None or data.empty: raise ValueError("Input DataFrame cannot be None or empty") # ... rest of the implementationWould you like me to provide more examples of type hints and input validation for other methods?
🧰 Tools
🪛 Ruff
317-317: f-string without any placeholders
Remove extraneous
fprefix(F541)
src/workflows/airqo_etl_utils/airqo_api.py (7)
190-191: Consider adding more context to the error logThe error message could be more informative by including the request parameters.
- logger.exception(f"Failed to fetch devices: {e}") + logger.exception(f"Failed to fetch devices with params={params}: {e}")
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4-16: Consider grouping related importsThe imports could be better organized by grouping standard library imports, third-party imports, and local imports.
+ # Standard library imports import traceback from urllib.parse import urlencode from typing import List, Dict, Any, Union, Generator, Tuple + # Third-party imports import pandas as pd import simplejson import urllib3 from urllib3.util.retry import Retry import logging + # Local imports from .config import configuration from .constants import DeviceCategory, Tenant from .utils import Utils logger = logging.getLogger(__name__)
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71-73: Fix incomplete exception logging in calibrate_data methodThe
logger.exception()call is missing the error message parameter.- logger.exception() + logger.exception(f"Failed to calibrate data: {ex}")
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391-392: Fix incomplete exception logging in get_meta_data methodSimilar to the previous issue, the exception logging is incomplete.
- logger.exception() + logger.exception(f"Failed to fetch meta data for endpoint {endpoint}: {ex}")
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654-698: Consider implementing request timeoutThe
__requestmethod should include a timeout parameter to prevent hanging requests.retry_strategy = Retry( total=5, backoff_factor=5, ) - http = urllib3.PoolManager(retries=retry_strategy) + http = urllib3.PoolManager(retries=retry_strategy, timeout=urllib3.Timeout(connect=5.0, read=30.0))
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654-698: Consider implementing request rate limitingThe
__requestmethod could benefit from rate limiting to prevent overwhelming the API server.Consider implementing a rate limiter using a token bucket algorithm or similar approach. This would help prevent API rate limit errors and ensure good API citizenship.
TODO comments require attention beyond just documentation
The review comment focused on documentation TODOs, but the analysis reveals a broader scope of concerns:
- 4 methods lack docstring documentation:
calibrate_data,refresh_airqloud,refresh_grid, andupdate_sites- 3 methods have functionality verification TODOs:
get_favorites,get_location_history, andget_search_history- 3 implementation-related TODOs:
- Bulk API posting limitation investigation
- Data filtering efficiency concern in measurements endpoint
- Resource creation investigation in request handling
These TODOs indicate both documentation gaps and potential implementation issues that should be addressed for code quality and reliability.
🔗 Analysis chain
Line range hint
401-402: Address TODO comments regarding documentationSeveral methods have TODO comments indicating missing or outdated documentation. This should be addressed to maintain code quality.
Would you like me to help generate the missing documentation for these methods?
Also applies to: 417-418, 432-433
Let me search specifically for TODO comments in the file mentioned in the review.
Let me check the context around these TODO comments to better understand their scope and impact.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Find all TODO comments related to documentation rg -n "TODO.*doc.*string" src/workflows/airqo_etl_utils/airqo_api.pyLength of output: 619
Script:
#!/bin/bash # Search for TODO comments in the specific file rg -i "TODO" src/workflows/airqo_etl_utils/airqo_api.pyLength of output: 863
Script:
#!/bin/bash # Get context around TODO comments rg -i "TODO" src/workflows/airqo_etl_utils/airqo_api.py -B 2 -A 2Length of output: 2386
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (3)
- src/workflows/airqo_etl_utils/airqo_api.py (1 hunks)
- src/workflows/airqo_etl_utils/data_validator.py (3 hunks)
- src/workflows/airqo_etl_utils/message_broker_utils.py (0 hunks)
💤 Files with no reviewable changes (1)
- src/workflows/airqo_etl_utils/message_broker_utils.py
🧰 Additional context used
🪛 Ruff
src/workflows/airqo_etl_utils/data_validator.py
317-317: f-string without any placeholders
Remove extraneous
fprefix(F541)
🔇 Additional comments (4)
src/workflows/airqo_etl_utils/data_validator.py (2)
124-124: Great improvement in error reporting!The switch from print to logger.warning is a good practice for better observability and consistent error handling. The warning level is appropriate for missing columns as it's not a critical error but something that should be noted.
306-315: Well-structured data validation flow!The empty DataFrame check before processing is a good defensive programming practice. The checksum logic is properly nested to avoid unnecessary computations.
src/workflows/airqo_etl_utils/airqo_api.py (2)
188-193: Improved error handling in get_devices method looks good!The addition of try-except block with proper error logging enhances the robustness of the API client.
Line range hint
654-698: Verify error handling for all HTTP status codesThe current error handling only checks for 200 and 201 status codes. Other success (2xx) or redirect (3xx) codes might need handling.
#!/bin/bash # Search for all HTTP status code handling in the codebase rg -n "response.status.*[23]\d{2}" src/workflows/airqo_etl_utils/
Description
Clean up with improved error handling.
Summary by CodeRabbit
Release Notes
New Features
Bug Fixes
Documentation