wrote pseudocode and a function to allow changing phone numbers, find by looking for ac2pl

import_data/import_recordings.py

@@ -69,6 +69,25 @@ def _get_children(children_path):
     return data
 
 
+#ac2pl
+def _get_correspondance(correspondance_path):
+    """
+    Returns a DataFrame of correspondances across child ID (phone numbers) or an empty DataFrame if `correspondance.csv` does not
+    exist
+    :param recordings_path: Path to the `correspondance.csv` metadata file
+    :type correspondance_path: str
+    :return: dataframe of correspondances across child ID (phone numbers) or empty dataframe
+    :rtype: pandas.DataFrame
+    """
+    try:
+        data = pd.read_csv(correspondance_path)
+        #TODO, check that data has wanted columns?
+    except:
+        columns = ['number', 'original']
+        data = pd.DataFrame(columns=columns)
+    return data
+
+
 def _build_recording_metadata(recordings_path, recording, experiment, recording_device_type):
     """
     Return the metadata corresponding to a given file (date, time, duration, etc.)
@@ -156,15 +175,20 @@ def import_children(project_path, experiment):
     """
     recordings_metadata_path = os.path.join(project_path, 'metadata', 'recordings.csv')
     children_metadata_path = os.path.join(project_path, 'metadata', 'children.csv')
+    correspondance_metadata_path = os.path.join(project_path, 'metadata', 'correspondance.csv') #ac2lp
 
     recordings = _get_recordings(recordings_metadata_path)
     children = _get_children(children_metadata_path)
     children_count = len(children)
+    children = _get_correspondance(correspondance_metadata_path) #ac2pl
 
     child_id_recordings = set(recordings['child_id'])
     missing_children = child_id_recordings - set(children['child_id'])
 
+
     for child_id in missing_children:
+        # ac2lp check if children may not correspond to another telephone number
+	# add: if child_id in correspondance['original'] then redefine child_id as the right cell in correspondance['original'] else what follows
         child_metadata = {
             'experiment': experiment,
             'child_id': child_id,