adding voting analyses as an experiment

cdp_data/instances.py

@@ -31,3 +31,6 @@ class CDPInstances:
     Richmond = "cdp-richmond-a3d06941"
     Louisville = "cdp-louisville-6fd32a38"
     Atlanta = "cdp-atlanta-37e7dd70"
+
+    all_instances = [Seattle, KingCounty, Portland, Missoula, Denver, Alameda, Boston, Oakland, Charlotte, SanJose,
+                     MountainView, Milwaukee, LongBeach, Albuquerque, Richmond, Louisville, Atlanta]

cdp_data/tests/voting_analysis.py

@@ -0,0 +1,37 @@
+from cdp_data import CDPInstances, datasets
+
+
+def voting_analysis(cdp_instance:str, start_datetime:str, end_datetime:str,):
+    ds = datasets.get_vote_dataset(cdp_instance,start_datetime=start_datetime,end_datetime=end_datetime,replace_py_objects=True)
+
+    ds=ds[['matter_id','event_datetime','event_minutes_item_overall_decision','in_majority','decision','person_name']].sort_values(by=['matter_id'])
+
+    #all of the voting in the system
+    ds_all_votes = ds.groupby(['matter_id','event_datetime','event_minutes_item_overall_decision'])
+
+    #all of the votings that passed
+    df_passed = ds_all_votes['event_minutes_item_overall_decision'].apply(lambda x: (x == 'Passed').sum()).reset_index(name='count')
+
+    #all of voting that were not unanimous
+    df_count_objection = ds.groupby(['matter_id'])['in_majority'].apply(lambda x: (x == False).sum()).reset_index(name='count')
+    df_count_objection = df_count_objection[df_count_objection['count'] != 0]
+#    print(ds_all_votes)
+#    print(df_passed)
+#    print(df_count_objection)
+    return (len(ds_all_votes),len(df_passed),len(df_count_objection))
+
+
+"""
+f = open("council_vote_data.txt", "a")
+
+
+for instance in CDPInstances.all_instances:
+    res = voting_analysis(instance, "2022-10-01", "2022-10-31")
+    f.write(instance + "\t" + str(res[0]) + "\t" + str(res[1]) + "\t" + str(res[2]))
+    f.write("\n")
+
+f.close()
+"""
+
+res = voting_analysis(CDPInstances.Oakland, "2022-10-01", "2022-10-30")
+print(res)