Rename variable actris_level --> data_level

pipelines/data_integration.py

@@ -18,15 +18,10 @@ if dimaPath not in sys.path:  # Avoid duplicate entries
 import yaml 
 import logging
 from datetime import datetime
-<<<<<<< HEAD
 import shutil 
-
-
-=======
 # Importing chain class from itertools 
 from itertools import chain 
 import shutil
->>>>>>> 978101f9c2d9b210a22749b8191330c6d8a97959
 # Import DIMA modules
 try:
     from dima.src import hdf5_writer as hdf5_lib
@@ -63,7 +58,7 @@ def load_config_and_setup_logging(yaml_config_file_path, log_dir):
     # Define required keys
     required_keys = [
         'experiment', 'contact', 'input_file_directory', 'output_file_directory',
-        'instrument_datafolder', 'project', 'actris_level'
+        'instrument_datafolder', 'project', 'data_level'
     ]
 
     # Supported integration modes
@@ -264,7 +259,7 @@ def run_pipeline(path_to_config_yamlFile, log_dir='logs/'):
     select_dir_keywords = config_dict['instrument_datafolder']
 
     # Define root folder metadata dictionary
-    root_metadata_dict = {key : config_dict[key] for key in ['project', 'experiment', 'contact', 'actris_level']}
+    root_metadata_dict = {key : config_dict[key] for key in ['project', 'experiment', 'contact', 'data_level']}
 
     # Get dataset start and end dates
     dataset_startdate = config_dict['dataset_startdate']