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Update with template for compute_cpc_flags(). This still needs to be completed.

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florez_j
2025-02-10 10:54:18 +01:00
parent ca2b8b6787
commit b966151d9c
1 changed files with 16 additions and 4 deletions
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20
pipelines/steps/compute_automated_flags.py
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@ -15,15 +15,25 @@ import argparse
import yaml, json
dimaPath = os.path.normpath(os.path.join(thisFilePath, "..", "..",'..')) # Move up to project root
projectPath = os.path.normpath(os.path.join(dimaPath,'..'))
print(dimaPath)
sys.path.append(dimaPath)
projectPath = os.path.normpath(os.path.join(thisFilePath, "..", "..",'..')) # Move up to project root
#print('Project path:', projectPath)
dimaPath = os.path.normpath('/'.join([projectPath,'dima']))
#print('DIMA path:', dimaPath)
# Set up project root directory
sys.path.insert(0,projectPath)
sys.path.insert(0,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_cpc_flags():
# TODO: ask rob where to find this information.
return 0
def compute_diagnostic_variable_flags(data_table, validity_thresholds_dict):
"""
Create indicator variables that check whether a particular diagnostic variable is within
@ -47,6 +57,8 @@ def compute_diagnostic_variable_flags(data_table, validity_thresholds_dict):
# Initialize a dictionary to store indicator variables
indicator_variables = {}
indicator_variables['t_base'] = data_table['t_base']
# Loop through the column names in the data table
for diagnostic_variable in data_table.columns:
print(diagnostic_variable)