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Add import statement and adjust dependencies.

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This commit is contained in:
florez_j
2025-02-06 16:57:46 +01:00
parent ad95d11a0d
commit d93003f5c4
3 changed files with 8 additions and 50 deletions
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0
pipelines/steps/__init__.py Normal file
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33
pipelines/steps/apply_calibration_factors.py
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@ -25,6 +25,7 @@ import yaml
sys.path.append(dimaPath)
import dima.src.hdf5_ops as dataOps
import pipelines.steps.utils as stepUtils
import numpy as np
import pandas as pd
@ -167,35 +168,7 @@ def apply_calibration_factors(data_table, datetime_var_name, calibration_file):
def record_data_lineage(path_to_output_file, metadata):
path_to_output_dir, output_file = os.path.split(path_to_output_file)
path_to_metadata_file = '/'.join([path_to_output_dir,'data_lineage_metadata.json'])
# Ensure the file exists
if not os.path.exists(path_to_metadata_file):
with open(path_to_metadata_file, 'w') as f:
json.dump({}, f) # Initialize empty JSON
# Read the existing JSON
with open(path_to_metadata_file, 'r') as metadata_file:
try:
json_dict = json.load(metadata_file)
except json.JSONDecodeError:
json_dict = {} # Start fresh if file is invalid
# Compute relative output file path and update the JSON object
relpath_to_output_file = os.path.relpath(path_to_output_file, start=projectPath).replace(os.sep, '/')
json_dict[relpath_to_output_file] = metadata
# Write updated JSON back to the file
with open(path_to_metadata_file, 'w') as metadata_file:
json.dump(json_dict, metadata_file, indent=4)
print(f"Metadata for calibrated data saved to {path_to_metadata_file}")
return 0
if __name__ == '__main__':
@ -275,8 +248,8 @@ if __name__ == '__main__':
calibrated_table.to_csv(path_to_calibrated_file, index=False)
calibration_factor_table.to_csv(path_to_calibration_factors_file, index=False)
status = record_data_lineage(path_to_calibrated_file, metadata)
status = record_data_lineage(path_to_calibration_factors_file, metadata)
status = stepUtils.record_data_lineage(path_to_calibrated_file, projectPath, metadata)
status = stepUtils.record_data_lineage(path_to_calibration_factors_file, projectPath, metadata)
print(f"Calibrated data saved to {path_to_calibrated_file}")

25
pipelines/steps/apply_diagnostic_flags.py
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@ -20,7 +20,9 @@ projectPath = os.path.normpath(os.path.join(dimaPath,'..'))
print(dimaPath)
sys.path.append(dimaPath)
import dima.src.hdf5_ops as dataOps
import pipelines.steps.utils as stepUtils
import dima.utils.g5505_utils as utils
import json
def compute_diagnostic_variable_flags(data_table, validity_thresholds_dict):
"""
@ -135,32 +137,15 @@ if __name__ == '__main__':
path_to_metadata_file = '/'.join([path_tail, 'data_lineage_metadata.json'])
print('Path to output file :', path_to_calibrated_file)
import dima.utils.g5505_utils as utils
import json
print(calibration_factors.keys())
calibrated_table = compute_diagnostic_variable_flags(data_table, calibration_factors)
metadata['processing_date'] = utils.created_at()
calibrated_table.to_csv(path_to_calibrated_file, index=False)
# Ensure the file exists
if not os.path.exists(path_to_metadata_file):
with open(path_to_metadata_file, 'w') as f:
json.dump({}, f) # Initialize empty JSON
status = stepUtils.record_data_lineage(path_to_calibrated_file, projectPath, metadata)
# Read the existing JSON
with open(path_to_metadata_file, 'r') as metadata_file:
try:
json_dict = json.load(metadata_file)
except json.JSONDecodeError:
json_dict = {} # Start fresh if file is invalid
# Update the JSON object
outputfileRelPath = os.path.relpath(path_to_calibrated_file, start=projectPath).replace(os.sep, '/')
json_dict[outputfileRelPath] = metadata
# Write updated JSON back to the file
with open(path_to_metadata_file, 'w') as metadata_file:
json.dump(json_dict, metadata_file, indent=4)
print(f"Calibrated data saved to {path_to_calibrated_file}")
print(f"Metadata for calibrated data saved to {path_to_metadata_file}")