Add testing, test docs and minor fixes for AR

docs/develop/test_cases.rst

@@ -89,6 +89,13 @@ Application Foreground
     - The raw application foreground data contains 7 - 9 rows of data for each ``epoch``. The records for each ``epoch`` contains apps that are randomly selected from a list of apps that are from the ``MULTIPLE_CATEGORIES`` and ``SINGLE_CATEGORIES`` (See `testing_config.yaml`_). There are also records in each epoch that have apps randomly selected from a list of apps that are from the ``EXCLUDED_CATEGORIES`` and ``EXCLUDED_APPS``. This is to test that these apps are actually being excluded from the calculations of features. There are also records to test ``SINGLE_APPS`` calculations. 
     - Since application foreground is only available for Android there is only one file that contains data for Android. All other files (i.e. for iPhone) are empty data files.
 
+Activity Recognition
+""""""""""""""""""""""
+
+    - The raw Activity Recognition data file contains data for 1 day. 
+    - The raw Activity Recognition data each ``epoch`` period contains rows that records 2 - 5 different ``activity_types``. The is such that durations of activities can be tested. Additionally there are records that mimic the duration of an activity over the time boundary of neighboring epochs. (For example there a set of records that mimic the participant ``in_vehicle`` from ``afternoon`` into ``evening``) 
+    - There is one file each with raw Activity Recognition data for testing both iOS and Android data formats. (plugin_google_activity_recognition_raw.csv for android and plugin_ios_activity_recognition_raw.csv for iOS)
+    - There is also an additional empty data file for both android and iOS for testing empty data files.
 
 
  .. _`testing_config.yaml`: https://github.com/carissalow/rapids/blob/c498b8d2dfd7cc29d1e4d53e978d30cff6cdf3f2/tests/settings/testing_config.yaml#L70

src/features/ar/ar_base.py

@@ -51,7 +51,11 @@ def base_ar_features(ar_data, ar_deltas, day_segment, requested_features):
             
             for column, activity_labels in deltas_features.items():
                 if column in features_to_compute:
-                    ar_features["ar_" + day_segment + "_" + column] = ar_deltas[ar_deltas["activity"].isin(pd.Series(activity_labels))].groupby(["local_start_date"])["time_diff"].sum()
+                    filtered_data = ar_deltas[ar_deltas["activity"].isin(pd.Series(activity_labels))]
+                    if not filtered_data.empty:
+                        ar_features["ar_" + day_segment + "_" + column] = ar_deltas[ar_deltas["activity"].isin(pd.Series(activity_labels))].groupby(["local_start_date"])["time_diff"].sum().fillna(0)
+                    else:
+                        ar_features["ar_" + day_segment + "_" + column] = 0
         
             ar_features.index.names = ["local_date"]
             ar_features = ar_features.reset_index()

tests/Snakefile

@@ -11,6 +11,26 @@ files_to_compute = []
 if len(config["PIDS"]) == 0:
     raise ValueError("Add participants IDs to PIDS in config.yaml. Remember to create their participant files in data/external")
 
+if config["PHONE_VALID_SENSED_BINS"]["COMPUTE"] or config["PHONE_VALID_SENSED_DAYS"]["COMPUTE"]: # valid sensed bins is necessary for sensed days, so we add these files anyways if sensed days are requested
+    if len(config["PHONE_VALID_SENSED_BINS"]["DB_TABLES"]) == 0:
+            raise ValueError("If you want to compute PHONE_VALID_SENSED_BINS or PHONE_VALID_SENSED_DAYS, you need to add at least one table to [PHONE_VALID_SENSED_BINS][DB_TABLES] in config.yaml")
+
+    pids_android = list(filter(lambda pid: infer_participant_platform("data/external/" + pid) == "android", config["PIDS"]))
+    pids_ios = list(filter(lambda pid: infer_participant_platform("data/external/" + pid) == "ios", config["PIDS"]))
+    tables_android = [table for table in config["PHONE_VALID_SENSED_BINS"]["DB_TABLES"] if table not in [config["CONVERSATION"]["DB_TABLE"]["IOS"], config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["IOS"]]] # for android, discard any ios tables that may exist
+    tables_ios = [table for table in config["PHONE_VALID_SENSED_BINS"]["DB_TABLES"] if table not in [config["CONVERSATION"]["DB_TABLE"]["ANDROID"], config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["ANDROID"]]] # for ios, discard any android tables that may exist
+
+    for pids,table in zip([pids_android, pids_ios], [tables_android, tables_ios]):
+        files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=pids, sensor=table))
+        files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=pids, sensor=table))
+    files_to_compute.extend(expand("data/interim/{pid}/phone_sensed_bins.csv", pid=config["PIDS"]))
+
+if config["PHONE_VALID_SENSED_DAYS"]["COMPUTE"]:
+    files_to_compute.extend(expand("data/interim/{pid}/phone_valid_sensed_days_{min_valid_hours_per_day}hours_{min_valid_bins_per_hour}bins.csv",
+                                pid=config["PIDS"],
+                                min_valid_hours_per_day=config["PHONE_VALID_SENSED_DAYS"]["MIN_VALID_HOURS_PER_DAY"],
+                                min_valid_bins_per_hour=config["PHONE_VALID_SENSED_DAYS"]["MIN_VALID_BINS_PER_HOUR"]))
+
 if config["MESSAGES"]["COMPUTE"]:
     files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["MESSAGES"]["DB_TABLE"]))
     files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["MESSAGES"]["DB_TABLE"]))
@@ -22,6 +42,29 @@ if config["CALLS"]["COMPUTE"]:
     files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime_unified.csv", pid=config["PIDS"], sensor=config["CALLS"]["DB_TABLE"]))
     files_to_compute.extend(expand("data/processed/{pid}/calls_{call_type}_{segment}.csv", pid=config["PIDS"], call_type=config["CALLS"]["TYPES"], segment = config["CALLS"]["DAY_SEGMENTS"]))
 
+if config["BLUETOOTH"]["COMPUTE"]:
+    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["BLUETOOTH"]["DB_TABLE"]))
+    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["BLUETOOTH"]["DB_TABLE"]))
+    files_to_compute.extend(expand("data/processed/{pid}/bluetooth_{segment}.csv", pid=config["PIDS"], segment = config["BLUETOOTH"]["DAY_SEGMENTS"]))
+
+if config["ACTIVITY_RECOGNITION"]["COMPUTE"]:
+    pids_android = list(filter(lambda pid: infer_participant_platform("data/external/" + pid) == "android", config["PIDS"]))
+    pids_ios = list(filter(lambda pid: infer_participant_platform("data/external/" + pid) == "ios", config["PIDS"]))
+    
+    for pids,table in zip([pids_android, pids_ios], [config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["ANDROID"], config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["IOS"]]):
+        files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=pids, sensor=table))
+        files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=pids, sensor=table))
+        files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime_unified.csv", pid=pids, sensor=table))
+        files_to_compute.extend(expand("data/processed/{pid}/{sensor}_deltas.csv", pid=pids, sensor=table))
+    files_to_compute.extend(expand("data/processed/{pid}/activity_recognition_{day_segment}.csv",pid=config["PIDS"], day_segment = config["ACTIVITY_RECOGNITION"]["DAY_SEGMENTS"]))
+
+if config["BATTERY"]["COMPUTE"]:
+    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["BATTERY"]["DB_TABLE"]))
+    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["BATTERY"]["DB_TABLE"]))
+    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime_unified.csv", pid=config["PIDS"], sensor=config["BATTERY"]["DB_TABLE"]))
+    files_to_compute.extend(expand("data/processed/{pid}/battery_deltas.csv", pid=config["PIDS"]))
+    files_to_compute.extend(expand("data/processed/{pid}/battery_{day_segment}.csv", pid = config["PIDS"], day_segment = config["BATTERY"]["DAY_SEGMENTS"]))
+
 if config["SCREEN"]["COMPUTE"]:
     if config["SCREEN"]["DB_TABLE"] in config["PHONE_VALID_SENSED_BINS"]["DB_TABLES"]:
         files_to_compute.extend(expand("data/interim/{pid}/phone_sensed_bins.csv", pid=config["PIDS"]))
@@ -33,17 +76,16 @@ if config["SCREEN"]["COMPUTE"]:
     files_to_compute.extend(expand("data/processed/{pid}/screen_deltas.csv", pid=config["PIDS"]))
     files_to_compute.extend(expand("data/processed/{pid}/screen_{day_segment}.csv", pid = config["PIDS"], day_segment = config["SCREEN"]["DAY_SEGMENTS"]))
 
-if config["BATTERY"]["COMPUTE"]:
-    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["BATTERY"]["DB_TABLE"]))
-    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["BATTERY"]["DB_TABLE"]))
-    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime_unified.csv", pid=config["PIDS"], sensor=config["BATTERY"]["DB_TABLE"]))
-    files_to_compute.extend(expand("data/processed/{pid}/battery_deltas.csv", pid=config["PIDS"]))
-    files_to_compute.extend(expand("data/processed/{pid}/battery_{day_segment}.csv", pid = config["PIDS"], day_segment = config["BATTERY"]["DAY_SEGMENTS"]))
+if config["LIGHT"]["COMPUTE"]:
+    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["LIGHT"]["DB_TABLE"]))
+    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["LIGHT"]["DB_TABLE"]))
+    files_to_compute.extend(expand("data/processed/{pid}/light_{day_segment}.csv", pid = config["PIDS"], day_segment = config["LIGHT"]["DAY_SEGMENTS"]))
 
-if config["BLUETOOTH"]["COMPUTE"]:
-    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["BLUETOOTH"]["DB_TABLE"]))
-    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["BLUETOOTH"]["DB_TABLE"]))
-    files_to_compute.extend(expand("data/processed/{pid}/bluetooth_{segment}.csv", pid=config["PIDS"], segment = config["BLUETOOTH"]["DAY_SEGMENTS"]))
+if config["APPLICATIONS_FOREGROUND"]["COMPUTE"]:
+    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["APPLICATIONS_FOREGROUND"]["DB_TABLE"]))
+    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["APPLICATIONS_FOREGROUND"]["DB_TABLE"]))
+    files_to_compute.extend(expand("data/interim/{pid}/{sensor}_with_datetime_with_genre.csv", pid=config["PIDS"], sensor=config["APPLICATIONS_FOREGROUND"]["DB_TABLE"]))
+    files_to_compute.extend(expand("data/processed/{pid}/applications_foreground_{day_segment}.csv", pid = config["PIDS"], day_segment = config["APPLICATIONS_FOREGROUND"]["DAY_SEGMENTS"]))
 
 if config["WIFI"]["COMPUTE"]:
     if len(config["WIFI"]["DB_TABLE"]["VISIBLE_ACCESS_POINTS"]) > 0:
@@ -56,20 +98,16 @@ if config["WIFI"]["COMPUTE"]:
         files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["WIFI"]["DB_TABLE"]["CONNECTED_ACCESS_POINTS"]))
         files_to_compute.extend(expand("data/processed/{pid}/wifi_{day_segment}.csv", pid = config["PIDS"], day_segment = config["WIFI"]["DAY_SEGMENTS"]))
 
-if config["LIGHT"]["COMPUTE"]:
-    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["LIGHT"]["DB_TABLE"]))
-    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["LIGHT"]["DB_TABLE"]))
-    files_to_compute.extend(expand("data/processed/{pid}/light_{day_segment}.csv", pid = config["PIDS"], day_segment = config["LIGHT"]["DAY_SEGMENTS"]))
+if config["CONVERSATION"]["COMPUTE"]:
+    pids_android = list(filter(lambda pid: infer_participant_platform("data/external/" + pid) == "android", config["PIDS"]))
+    pids_ios = list(filter(lambda pid: infer_participant_platform("data/external/" + pid) == "ios", config["PIDS"]))
 
-if config["APPLICATIONS_FOREGROUND"]["COMPUTE"]:
-    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["APPLICATIONS_FOREGROUND"]["DB_TABLE"]))
-    files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["APPLICATIONS_FOREGROUND"]["DB_TABLE"]))
-    files_to_compute.extend(expand("data/interim/{pid}/{sensor}_with_datetime_with_genre.csv", pid=config["PIDS"], sensor=config["APPLICATIONS_FOREGROUND"]["DB_TABLE"]))
-    files_to_compute.extend(expand("data/processed/{pid}/applications_foreground_{day_segment}.csv", pid = config["PIDS"], day_segment = config["APPLICATIONS_FOREGROUND"]["DAY_SEGMENTS"]))
+    for pids,table in zip([pids_android, pids_ios], [config["CONVERSATION"]["DB_TABLE"]["ANDROID"], config["CONVERSATION"]["DB_TABLE"]["IOS"]]):
+        files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=pids, sensor=table))
+        files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=pids, sensor=table))
+        files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime_unified.csv", pid=pids, sensor=table))
+    files_to_compute.extend(expand("data/processed/{pid}/conversation_{day_segment}.csv",pid=config["PIDS"], day_segment = config["CONVERSATION"]["DAY_SEGMENTS"]))
 
-if config["ACTIVITY_RECOGNITION"]["COMPUTE"]:
-    # TODO add files_to_compute.extend(optional_ar_input(None)), the Android or iOS table gets processed depending on each participant
-    files_to_compute.extend(expand("data/processed/{pid}/activity_recognition_{day_segment}.csv",pid=config["PIDS"], day_segment = config["ACTIVITY_RECOGNITION"]["DAY_SEGMENTS"]))
 
 rule all:
     input:

tests/data/processed/test01/activity_recognition_afternoon.csv

@@ -0,0 +1,2 @@
+local_date,ar_afternoon_count,ar_afternoon_mostcommonactivity,ar_afternoon_countuniqueactivities,ar_afternoon_activitychangecount,ar_afternoon_sumstationary,ar_afternoon_summobile,ar_afternoon_sumvehicle
+2020-07-06,11,0,3,2,91.4326,60.46666666666667,25.433333333333334

tests/data/processed/test01/activity_recognition_daily.csv

@@ -0,0 +1,2 @@
+local_date,ar_daily_count,ar_daily_mostcommonactivity,ar_daily_countuniqueactivities,ar_daily_activitychangecount,ar_daily_sumstationary,ar_daily_summobile,ar_daily_sumvehicle
+2020-07-06,55,3,8,14,316.39519999999965,286.15086666666673,70.3941833333333

tests/data/processed/test01/activity_recognition_evening.csv

@@ -0,0 +1,2 @@
+local_date,ar_evening_count,ar_evening_mostcommonactivity,ar_evening_countuniqueactivities,ar_evening_activitychangecount,ar_evening_sumstationary,ar_evening_summobile,ar_evening_sumvehicle
+2020-07-06,17,1,6,5,7.609966666666669,120.1363,13.033333333333333

tests/data/processed/test01/activity_recognition_morning.csv

@@ -0,0 +1,2 @@
+local_date,ar_morning_count,ar_morning_mostcommonactivity,ar_morning_countuniqueactivities,ar_morning_activitychangecount,ar_morning_sumstationary,ar_morning_summobile,ar_morning_sumvehicle
+2020-07-06,17,0,5,4,46.0,105.53365000000008,31.9119

tests/data/processed/test01/activity_recognition_night.csv

@@ -0,0 +1,2 @@
+local_date,ar_night_count,ar_night_mostcommonactivity,ar_night_countuniqueactivities,ar_night_activitychangecount,ar_night_sumstationary,ar_night_summobile,ar_night_sumvehicle
+2020-07-06,10,3,3,3,171.33763333333334,0,0

tests/data/processed/test02/activity_recognition_afternoon.csv

@@ -0,0 +1,2 @@
+local_date,ar_afternoon_count,ar_afternoon_mostcommonactivity,ar_afternoon_countuniqueactivities,ar_afternoon_activitychangecount,ar_afternoon_sumstationary,ar_afternoon_summobile,ar_afternoon_sumvehicle
+2020-07-06,11,0,3,2,91.4326,60.46666666666667,25.433333333333334

tests/data/processed/test02/activity_recognition_daily.csv

@@ -0,0 +1,2 @@
+local_date,ar_daily_count,ar_daily_mostcommonactivity,ar_daily_countuniqueactivities,ar_daily_activitychangecount,ar_daily_sumstationary,ar_daily_summobile,ar_daily_sumvehicle
+2020-07-06,49,2,4,9,501.1613166666666,334.0321000000003,70.3941833333333

tests/data/processed/test02/activity_recognition_evening.csv

@@ -0,0 +1,2 @@
+local_date,ar_evening_count,ar_evening_mostcommonactivity,ar_evening_countuniqueactivities,ar_evening_activitychangecount,ar_evening_sumstationary,ar_evening_summobile,ar_evening_sumvehicle
+2020-07-06,16,2,4,4,7.609966666666669,120.1363,13.033333333333333

tests/data/processed/test02/activity_recognition_morning.csv

@@ -0,0 +1,2 @@
+local_date,ar_morning_count,ar_morning_mostcommonactivity,ar_morning_countuniqueactivities,ar_morning_activitychangecount,ar_morning_sumstationary,ar_morning_summobile,ar_morning_sumvehicle
+2020-07-06,17,2,3,3,46.0,153.41488333333368,31.9119

tests/data/processed/test02/activity_recognition_night.csv

@@ -0,0 +1,2 @@
+local_date,ar_night_count,ar_night_mostcommonactivity,ar_night_countuniqueactivities,ar_night_activitychangecount,ar_night_sumstationary,ar_night_summobile,ar_night_sumvehicle
+2020-07-06,5,3,1,0,356.1,0,0

tests/data/processed/test03/activity_recognition_afternoon.csv

@@ -0,0 +1 @@
+local_date,ar_afternoon_summobile,ar_afternoon_countuniqueactivities,ar_afternoon_count,ar_afternoon_sumstationary,ar_afternoon_sumvehicle,ar_afternoon_mostcommonactivity,ar_afternoon_activitychangecount

tests/data/processed/test03/activity_recognition_daily.csv

@@ -0,0 +1 @@
+local_date,ar_daily_sumvehicle,ar_daily_countuniqueactivities,ar_daily_mostcommonactivity,ar_daily_activitychangecount,ar_daily_sumstationary,ar_daily_summobile,ar_daily_count

tests/data/processed/test03/activity_recognition_evening.csv

@@ -0,0 +1 @@
+local_date,ar_evening_count,ar_evening_summobile,ar_evening_activitychangecount,ar_evening_sumstationary,ar_evening_sumvehicle,ar_evening_countuniqueactivities,ar_evening_mostcommonactivity

tests/data/processed/test03/activity_recognition_morning.csv

@@ -0,0 +1 @@
+local_date,ar_morning_mostcommonactivity,ar_morning_activitychangecount,ar_morning_countuniqueactivities,ar_morning_summobile,ar_morning_count,ar_morning_sumvehicle,ar_morning_sumstationary

tests/data/processed/test03/activity_recognition_night.csv

@@ -0,0 +1 @@
+local_date,ar_night_summobile,ar_night_sumstationary,ar_night_countuniqueactivities,ar_night_mostcommonactivity,ar_night_activitychangecount,ar_night_count,ar_night_sumvehicle

tests/data/processed/test04/activity_recognition_afternoon.csv

@@ -0,0 +1 @@
+local_date,ar_afternoon_activitychangecount,ar_afternoon_mostcommonactivity,ar_afternoon_sumvehicle,ar_afternoon_countuniqueactivities,ar_afternoon_summobile,ar_afternoon_sumstationary,ar_afternoon_count

tests/data/processed/test04/activity_recognition_daily.csv

@@ -0,0 +1 @@
+local_date,ar_daily_count,ar_daily_sumstationary,ar_daily_countuniqueactivities,ar_daily_summobile,ar_daily_sumvehicle,ar_daily_mostcommonactivity,ar_daily_activitychangecount

tests/data/processed/test04/activity_recognition_evening.csv

@@ -0,0 +1 @@
+local_date,ar_evening_sumvehicle,ar_evening_activitychangecount,ar_evening_sumstationary,ar_evening_summobile,ar_evening_mostcommonactivity,ar_evening_count,ar_evening_countuniqueactivities

tests/data/processed/test04/activity_recognition_morning.csv

@@ -0,0 +1 @@
+local_date,ar_morning_mostcommonactivity,ar_morning_sumvehicle,ar_morning_countuniqueactivities,ar_morning_sumstationary,ar_morning_count,ar_morning_summobile,ar_morning_activitychangecount

tests/data/processed/test04/activity_recognition_night.csv

@@ -0,0 +1 @@
+local_date,ar_night_count,ar_night_countuniqueactivities,ar_night_sumstationary,ar_night_sumvehicle,ar_night_activitychangecount,ar_night_summobile,ar_night_mostcommonactivity

tests/data/raw/test01/plugin_google_activity_recognition_raw.csv

@@ -0,0 +1,56 @@
+timestamp,device_id,activity_name,activity_type,confidence,activities
+1594011513359,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,still,3,99,"[{""activity"":""still"",""confidence"":99},{""activity"":""unknown"",""confidence"":1}]"
+1594009169663,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,still,3,88,"[{""activity"":""still"",""confidence"":88},{""activity"":""walking"",""confidence"":7},{""activity"":""in_vehicle"",""confidence"":4}{""activity"":""unknown"",""confidence"":1}]"
+1594008233193,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,still,3,92,"[{""activity"":""still"",""confidence"":92},{""activity"":""In_vehicle"",""confidence"":7},{""activity"":""unknown"",""confidence"":1}]"
+1594014089214,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,unknown,4,92,"[{""activity"":""unknown"",""confidence"":92},{""activity"":""walking"",""confidence"":5},{""activity"":""still"",""confidence"":2},{""activity"":""in_vehicle"",""confidence"":1}]"
+1594022514638,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,tilting,5,91,"[{""activity"":""tilting"",""confidence"":91},{""activity"":""on_bicycle"",""confidence"":8},{""activity"":""unknown"",""confidence"":1}]"
+1594019642710,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,tilting,5,91,"[{""activity"":""tilting"",""confidence"":91},{""activity"":""on_bicycle"",""confidence"":8},{""activity"":""unknown"",""confidence"":1}]"
+1594021195186,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,tilting,5,98,"[{""activity"":""tilting"",""confidence"":98},{""activity"":""still"",""confidence"":1},{""activity"":""walking"",""confidence"":1}]"
+1594023232802,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,tilting,5,86,"[{""activity"":""tilting"",""confidence"":86},{""activity"":""walking"",""confidence"":12},{""activity"":""still"",""confidence"":2}]"
+1594029036619,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,still,3,88,"[{""activity"":""still"",""confidence"":88},{""activity"":""walking"",""confidence"":7},{""activity"":""in_vehicle"",""confidence"":4}{""activity"":""unknown"",""confidence"":1}]"
+1594026189418,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,still,3,99,"[{""activity"":""still"",""confidence"":99},{""activity"":""unknown"",""confidence"":1}]"
+1594030960769,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,still,3,98,"[{""activity"":""still"",""confidence"":98},{""activity"":""tilting"",""confidence"":1},{""activity"":""unknown"",""confidence"":1}]"
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tests/data/raw/test02/plugin_ios_activity_recognition_raw.csv

@@ -0,0 +1,56 @@
+timestamp,device_id,activities,confidence,stationary,walking,running,automotive,cycling,unknown,label
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tests/data/raw/test03/plugin_google_activity_recognition_raw.csv

@@ -0,0 +1 @@
+timestamp,device_id,activity_name,activity_type,confidence,activities

tests/data/raw/test04/plugin_ios_activity_recognition_raw.csv

@@ -0,0 +1 @@
+timestamp,device_id,activities,confidence,stationary,walking,running,automotive,cycling,unknown,label

tests/scripts/utils.py

@@ -83,7 +83,7 @@ def generate_sensor_file_lists(config):
     exp_str = "tests/data/processed/{pid}/{sensor}_{sensor_type}{day_segment}.csv"
 
     # List of available sensors that can be tested by the testing suite
-    TESTABLE_SENSORS = ['MESSAGES', 'CALLS', 'SCREEN', 'BATTERY', 'BLUETOOTH', 'WIFI', 'LIGHT', 'APPLICATIONS_FOREGROUND']
+    TESTABLE_SENSORS = ['MESSAGES', 'CALLS', 'SCREEN', 'BATTERY', 'BLUETOOTH', 'WIFI', 'LIGHT', 'APPLICATIONS_FOREGROUND', 'ACTIVITY_RECOGNITION']
 
     # Build list of sensors to be tested. 
     sensors = []

tests/settings/config.yaml

@@ -2,4 +2,4 @@ directory: ./
 configfile: ./tests/settings/testing_config.yaml
 snakefile: ./tests/Snakefile
 cores: 1
-forcerun: [messages_features, call_features, screen_features, battery_features, bluetooth_features, wifi_features, light_features, applications_foreground_features]
+forcerun: [messages_features, call_features, bluetooth_features, activity_features, battery_features, screen_features, light_features, applications_foreground_features, wifi_features]

tests/settings/testing_config.yaml

@@ -31,6 +31,26 @@ CALLS:
     outgoing: [count, distinctcontacts, meanduration, sumduration, minduration, maxduration, stdduration, modeduration, entropyduration, timefirstcall, timelastcall, countmostfrequentcontact]
   DAY_SEGMENTS: *day_segments
 
+BLUETOOTH:
+  COMPUTE: True
+  DB_TABLE: bluetooth
+  DAY_SEGMENTS: *day_segments
+  FEATURES: ["countscans", "uniquedevices", "countscansmostuniquedevice"]
+
+ACTIVITY_RECOGNITION:
+  COMPUTE: True
+  DB_TABLE: 
+    ANDROID: plugin_google_activity_recognition
+    IOS: plugin_ios_activity_recognition
+  DAY_SEGMENTS: *day_segments
+  FEATURES: ["count","mostcommonactivity","countuniqueactivities","activitychangecount","sumstationary","summobile","sumvehicle"]
+
+BATTERY:
+  COMPUTE: True
+  DB_TABLE: battery
+  DAY_SEGMENTS: *day_segments
+  FEATURES: ["countdischarge", "sumdurationdischarge", "countcharge", "sumdurationcharge", "avgconsumptionrate", "maxconsumptionrate"]
+
 SCREEN:
   COMPUTE: True
   DB_TABLE: screen
@@ -41,26 +61,6 @@ SCREEN:
   FEATURES_DELTAS: ["countepisode", "episodepersensedminutes", "sumduration", "maxduration", "minduration", "avgduration", "stdduration", "firstuseafter"]
   EPISODE_TYPES: ["unlock"]
 
-BATTERY:
-  COMPUTE: True
-  DB_TABLE: battery
-  DAY_SEGMENTS: *day_segments
-  FEATURES: ["countdischarge", "sumdurationdischarge", "countcharge", "sumdurationcharge", "avgconsumptionrate", "maxconsumptionrate"]
-
-BLUETOOTH:
-  COMPUTE: True
-  DB_TABLE: bluetooth
-  DAY_SEGMENTS: *day_segments
-  FEATURES: ["countscans", "uniquedevices", "countscansmostuniquedevice"]
-
-WIFI:
-  COMPUTE: True
-  DB_TABLE: 
-    VISIBLE_ACCESS_POINTS: "wifi" # if you only have a CONNECTED_ACCESS_POINTS table, set this value to ""
-    CONNECTED_ACCESS_POINTS: "sensor_wifi" # if you only have a VISIBLE_ACCESS_POINTS table, set this value to ""
-  DAY_SEGMENTS: *day_segments
-  FEATURES: ["countscans", "uniquedevices", "countscansmostuniquedevice"]
-
 LIGHT:
   COMPUTE: True
   DB_TABLE: light
@@ -78,4 +78,27 @@ APPLICATIONS_FOREGROUND:
   SINGLE_APPS: ["top1global", "com.facebook.moments", "com.google.android.youtube"] # There's no entropy for single apps
   EXCLUDED_CATEGORIES: ["systemapp", "tvvideoapps"]
   EXCLUDED_APPS: ["com.fitbit.FitbitMobile", "com.aware.plugin.upmc.cancer"]
-  FEATURES: ["count", "timeoffirstuse", "timeoflastuse", "frequencyentropy"]
+  FEATURES: ["count", "timeoffirstuse", "timeoflastuse", "frequencyentropy"]
+
+WIFI:
+  COMPUTE: True
+  DB_TABLE: 
+    VISIBLE_ACCESS_POINTS: "wifi" # if you only have a CONNECTED_ACCESS_POINTS table, set this value to ""
+    CONNECTED_ACCESS_POINTS: "sensor_wifi" # if you only have a VISIBLE_ACCESS_POINTS table, set this value to ""
+  DAY_SEGMENTS: *day_segments
+  FEATURES: ["countscans", "uniquedevices", "countscansmostuniquedevice"]
+
+
+CONVERSATION:
+  COMPUTE: False
+  DB_TABLE: 
+    ANDROID: plugin_studentlife_audio_android
+    IOS: plugin_studentlife_audio
+  DAY_SEGMENTS: *day_segments
+  FEATURES: ["minutessilence", "minutesnoise", "minutesvoice", "minutesunknown","sumconversationduration","avgconversationduration",
+    "sdconversationduration","minconversationduration","maxconversationduration","timefirstconversation","timelastconversation","sumenergy",
+    "avgenergy","sdenergy","minenergy","maxenergy","silencesensedfraction","noisesensedfraction",
+    "voicesensedfraction","unknownsensedfraction","silenceexpectedfraction","noiseexpectedfraction","voiceexpectedfraction",
+    "unknownexpectedfraction","countconversation"]
+  RECORDINGMINUTES: 1
+  PAUSEDMINUTES : 3