Update fix/clean up #4052
Update fix/clean up #4052
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Updates from airqo staging
📝 WalkthroughWalkthroughThe pull request introduces modifications to the Changes
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (1)
src/workflows/airqo_etl_utils/airqo_api.py (1)
141-141: Fix typo in parameter documentationThe documentation update is good, but there's a typo in "manufaturer".
- - network (str): A string that represents device manufaturer. + - network (str): A string that represents device manufacturer.
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📒 Files selected for processing (2)
src/workflows/airqo_etl_utils/airqo_api.py(1 hunks)src/workflows/airqo_etl_utils/meta_data_utils.py(2 hunks)
🔇 Additional comments (4)
src/workflows/airqo_etl_utils/meta_data_utils.py (2)
12-12: LGTM! Parameter rename improves clarity
The change from tenant to network better reflects the parameter's purpose as a device manufacturer identifier.
28-28: Verify the impact of adding the name column
The addition of the name column using device_id looks correct, but let's verify if any downstream code depends on this column.
✅ Verification successful
Let me search more specifically for usages of the "name" column in dataframes or pandas operations.
Let me check the specific usage context in these files.
The addition of the name column is part of a consistent data transformation pattern
The code change is safe and aligns with the existing ETL pipeline's data model. The evidence shows that:
- In
data_validator.py, there's an explicit rename fromdevice_idtodevice_name - Both
analyticsandinsightsmodules expect and usedevice_namein their JOIN operations with device data - This transformation maintains consistency with the downstream data processing expectations
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Search for usages of the 'name' column from the devices DataFrame
rg -l 'devices\[.{0,10}name\]' || rg -l '\.name\b'
Length of output: 8207
Script:
#!/bin/bash
# Search for more specific dataframe operations with the 'name' column
rg -g '*.py' 'dataframe\[.{0,10}name\]|\.name\b.*dataframe' -l
# Also search for any ETL or data processing files that might use this column
fd -e py -x rg -l 'name.*=.*device_id' {} \;
Length of output: 284
Script:
#!/bin/bash
# Check the context of name/device_id usage in the identified files
rg -A 5 -B 5 'name.*=.*device_id|dataframe\[.{0,10}name\]' src/workflows/airqo_etl_utils/meta_data_utils.py src/workflows/airqo_etl_utils/data_validator.py src/insights/models/events.py src/analytics/api/models/events.py
Length of output: 5487
src/workflows/airqo_etl_utils/airqo_api.py (2)
Line range hint 246-246: LGTM! Documentation is clear and accurate
The docstring provides clear information about the parameters and return values.
Also applies to: 247-247
Line range hint 673-685: LGTM! Comprehensive documentation for private method
The docstring provides clear information about:
- Parameters and their purposes
- Return values and their structure
- Error handling behavior
Description
[Provide a brief description of the changes made in this PR]
Just some column clean up.
Related Issues
Summary by CodeRabbit
Documentation
get_devicesmethod to clarify thenetworkparameter and refine return type details.get_devices_by_networkand__requestmethods for better clarity.extract_devices_from_apimethod to change thetenantparameter tonetworkand include thenamecolumn in the returned DataFrame.Bug Fixes
namecolumn in the DataFrame returned byextract_devices_from_api.