Pass variable names as kwarg #15
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Review Status
Actionable comments generated: 1
Configuration used: CodeRabbit UI
Files ignored due to path filters (1)
environment.ymlis excluded by:!**/*.yml
Files selected for processing (2)
- .gitignore (1 hunks)
- basininflow/inflow.py (5 hunks)
Additional comments: 4
basininflow/inflow.py (4)
- 85-98: > 📝 NOTE
This review was outside the diff hunks and was mapped to the diff hunk with the greatest overlap. Original lines [56-95]
The addition of
runoff_var,x_var,y_var, andtime_varas optional parameters increases the function's flexibility. Ensure that downstream code properly handles cases where these variables are not provided by the user and defaults to guessing variable names.
- 138-140: Ensure that the logic for matching dataset dimensions with the weight table dimensions is robust and clearly documented, as this is crucial for the correct processing of data.
- 172-182: > 📝 NOTE
This review was outside the diff hunks and was mapped to the diff hunk with the greatest overlap. Original lines [175-199]
Memory check and unit conversion logic are implemented. Verify that the memory check logic (
_memory_check) accurately reflects the system's available memory and that the unit conversion factors are correctly applied across various datasets.
- 196-202: > 📝 NOTE
This review was outside the diff hunks and was mapped to the diff hunk with the greatest overlap. Original lines [199-255]
The process of creating the output inflow netCDF file is detailed and appears to follow best practices for handling time series data in netCDF format. Ensure that the file creation and data handling processes are tested with various input datasets to confirm compatibility and correctness.
basininflow/inflow.py
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| if not runoff_var: | ||
| logging.warning('Runoff variable provided. Guessing from default names') | ||
| runoff_var = [x for x in ['ro', 'RO', 'runoff', 'RUNOFF'] if x in ds.variables][0] | ||
| if not x_var: | ||
| logging.warning('X variable not given. Guessing from default names.') | ||
| x_var = [x for x in ['x', 'lon', 'longitude', 'LONGITUDE', 'LON'] if x in ds.variables][0] | ||
| if not y_var: | ||
| logging.warning('Y variable not given. Guessing from default names.') | ||
| y_var = [x for x in ['y', 'lat', 'latitude', 'LATITUDE', 'LAT'] if x in ds.variables][0] | ||
| if not time_var: | ||
| logging.warning('Time variable not given. Guessing from default names.') | ||
| time_var = [x for x in ['time', 'TIME', ] if x in ds.variables][0] |
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The logic for guessing variable names when not provided by the user is implemented. However, consider adding a more robust error handling mechanism if none of the guessed names match the variables in the dataset to prevent runtime errors.
Runoff, X, Y, and Time variable names can be passed explicitly as arguments so that they do not need to be guessed from the lsm files.
Enables easier use on irregularly structured grib files. if you have cfgrib or other xarray compatible grib backend reader dependency.
Summary by CodeRabbit
.gitignoreto better support Python development workflows.create_inflow_filefunction for greater flexibility with various datasets by accepting additional optional parameters.