def optional_ar_input(wildcards): with open("data/external/"+wildcards.pid, encoding="ISO-8859-1") as external_file: external_file_content = external_file.readlines() platforms = external_file_content[1].strip().split(",") if platforms[0] == "multiple" or (len(platforms) > 1 and "android" in platforms and "ios" in platforms): platform = "android" else: platform = platforms[0] if platform == "android": return ["data/raw/{pid}/" + config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["ANDROID"] + "_with_datetime_unified.csv", "data/processed/{pid}/" + config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["ANDROID"] + "_deltas.csv"] elif platform == "ios": return ["data/raw/{pid}/"+config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["IOS"]+"_with_datetime_unified.csv", "data/processed/{pid}/"+config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["IOS"]+"_deltas.csv"] else: raise ValueError("Platform (line 2) in a participant file should be 'android', 'ios', or 'multiple'. You typed '" + platforms + "'") def optional_conversation_input(wildcards): with open("data/external/"+wildcards.pid, encoding="ISO-8859-1") as external_file: external_file_content = external_file.readlines() platforms = external_file_content[1].strip().split(",") if platforms[0] == "multiple" or (len(platforms) > 1 and "android" in platforms and "ios" in platforms): platform = "android" else: platform = platforms[0] if platform == "android": return ["data/raw/{pid}/" + config["CONVERSATION"]["DB_TABLE"]["ANDROID"] + "_with_datetime.csv"] elif platform == "ios": return ["data/raw/{pid}/" + config["CONVERSATION"]["DB_TABLE"]["IOS"] + "_with_datetime.csv"] else: raise ValueError("Platform (line 2) in a participant file should be 'android' or 'ios', or 'multiple'. You typed '" + platforms + "'") def optional_location_input(wildcards): if config["BARNETT_LOCATION"]["LOCATIONS_TO_USE"] == "RESAMPLE_FUSED": return expand("data/raw/{{pid}}/{sensor}_resampled.csv", sensor=config["BARNETT_LOCATION"]["DB_TABLE"]) else: return expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["BARNETT_LOCATION"]["DB_TABLE"]) def optional_location_doryab_input(wildcards): if config["DORYAB_LOCATION"]["LOCATIONS_TO_USE"] == "RESAMPLE_FUSED": return expand("data/raw/{{pid}}/{sensor}_resampled.csv", sensor=config["DORYAB_LOCATION"]["DB_TABLE"]) else: return expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["DORYAB_LOCATION"]["DB_TABLE"]) def optional_steps_sleep_input(wildcards): if config["STEP"]["EXCLUDE_SLEEP"]["EXCLUDE"] == True and config["STEP"]["EXCLUDE_SLEEP"]["TYPE"] == "FITBIT_BASED": return "data/raw/{pid}/fitbit_sleep_summary_with_datetime.csv" else: return [] rule messages_features: input: expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["MESSAGES"]["DB_TABLE"]) params: messages_type = "{messages_type}", day_segment = "{day_segment}", features = lambda wildcards: config["MESSAGES"]["FEATURES"][wildcards.messages_type] output: "data/processed/{pid}/messages_{messages_type}_{day_segment}.csv" script: "../src/features/messages_features.R" rule call_features: input: expand("data/raw/{{pid}}/{sensor}_with_datetime_unified.csv", sensor=config["CALLS"]["DB_TABLE"]) params: call_type = "{call_type}", day_segment = "{day_segment}", features = lambda wildcards: config["CALLS"]["FEATURES"][wildcards.call_type] output: "data/processed/{pid}/calls_{call_type}_{day_segment}.csv" script: "../src/features/call_features.R" rule battery_deltas: input: expand("data/raw/{{pid}}/{sensor}_with_datetime_unified.csv", sensor=config["BATTERY"]["DB_TABLE"]) output: "data/processed/{pid}/battery_deltas.csv" script: "../src/features/battery_deltas.R" rule screen_deltas: input: screen = expand("data/raw/{{pid}}/{sensor}_with_datetime_unified.csv", sensor=config["SCREEN"]["DB_TABLE"]) output: "data/processed/{pid}/screen_deltas.csv" script: "../src/features/screen_deltas.R" rule google_activity_recognition_deltas: input: expand("data/raw/{{pid}}/{sensor}_with_datetime_unified.csv", sensor=config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["ANDROID"]) output: expand("data/processed/{{pid}}/{sensor}_deltas.csv", sensor=config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["ANDROID"]) script: "../src/features/activity_recognition_deltas.R" rule ios_activity_recognition_deltas: input: expand("data/raw/{{pid}}/{sensor}_with_datetime_unified.csv", sensor=config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["IOS"]) output: expand("data/processed/{{pid}}/{sensor}_deltas.csv", sensor=config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["IOS"]) script: "../src/features/activity_recognition_deltas.R" rule location_barnett_features: input: locations = optional_location_input params: features = config["BARNETT_LOCATION"]["FEATURES"], locations_to_use = config["BARNETT_LOCATION"]["LOCATIONS_TO_USE"], accuracy_limit = config["BARNETT_LOCATION"]["ACCURACY_LIMIT"], timezone = config["BARNETT_LOCATION"]["TIMEZONE"], minutes_data_used = config["BARNETT_LOCATION"]["MINUTES_DATA_USED"], day_segment = "{day_segment}" output: "data/processed/{pid}/location_barnett_{day_segment}.csv" script: "../src/features/location_barnett_features.R" rule location_doryab_features: input: locations = optional_location_doryab_input params: features = config["DORYAB_LOCATION"]["FEATURES"], day_segment = "{day_segment}", dbscan_eps = config["DORYAB_LOCATION"]["DBSCAN_EPS"], dbscan_minsamples = config["DORYAB_LOCATION"]["DBSCAN_MINSAMPLES"], threshold_static = config["DORYAB_LOCATION"]["THRESHOLD_STATIC"], maximum_gap_allowed = config["DORYAB_LOCATION"]["MAXIMUM_GAP_ALLOWED"], minutes_data_used = config["DORYAB_LOCATION"]["MINUTES_DATA_USED"] output: "data/processed/{pid}/location_doryab_{day_segment}.csv" script: "../src/features/location_doryab_features.py" rule bluetooth_features: input: expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["BLUETOOTH"]["DB_TABLE"]) params: day_segment = "{day_segment}", features = config["BLUETOOTH"]["FEATURES"] output: "data/processed/{pid}/bluetooth_{day_segment}.csv" script: "../src/features/bluetooth_features.R" rule activity_features: input: optional_ar_input params: segment = "{day_segment}", features = config["ACTIVITY_RECOGNITION"]["FEATURES"] output: "data/processed/{pid}/activity_recognition_{day_segment}.csv" script: "../src/features/activity_recognition.py" rule battery_features: input: "data/processed/{pid}/battery_deltas.csv" params: day_segment = "{day_segment}", features = config["BATTERY"]["FEATURES"] output: "data/processed/{pid}/battery_{day_segment}.csv" script: "../src/features/battery_features.py" rule screen_features: input: screen_deltas = "data/processed/{pid}/screen_deltas.csv", phone_sensed_bins = "data/interim/{pid}/phone_sensed_bins.csv" params: day_segment = "{day_segment}", reference_hour_first_use = config["SCREEN"]["REFERENCE_HOUR_FIRST_USE"], features_deltas = config["SCREEN"]["FEATURES_DELTAS"], episode_types = config["SCREEN"]["EPISODE_TYPES"], ignore_episodes_shorter_than = config["SCREEN"]["IGNORE_EPISODES_SHORTER_THAN"], ignore_episodes_longer_than = config["SCREEN"]["IGNORE_EPISODES_LONGER_THAN"], bin_size = config["PHONE_VALID_SENSED_BINS"]["BIN_SIZE"] output: "data/processed/{pid}/screen_{day_segment}.csv" script: "../src/features/screen_features.py" rule light_features: input: expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["LIGHT"]["DB_TABLE"]), params: day_segment = "{day_segment}", features = config["LIGHT"]["FEATURES"], output: "data/processed/{pid}/light_{day_segment}.csv" script: "../src/features/light_features.py" rule conversation_features: input: optional_conversation_input params: day_segment = "{day_segment}", features = config["CONVERSATION"]["FEATURES"], recordingMinutes = config["CONVERSATION"]["RECORDINGMINUTES"], pausedMinutes = config["CONVERSATION"]["PAUSEDMINUTES"], output: "data/processed/{pid}/conversation_{day_segment}.csv" script: "../src/features/conversation_features.py" rule accelerometer_features: input: expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["ACCELEROMETER"]["DB_TABLE"]), params: day_segment = "{day_segment}", magnitude = config["ACCELEROMETER"]["FEATURES"]["MAGNITUDE"], exertional_activity_episode = config["ACCELEROMETER"]["FEATURES"]["EXERTIONAL_ACTIVITY_EPISODE"], nonexertional_activity_episode = config["ACCELEROMETER"]["FEATURES"]["NONEXERTIONAL_ACTIVITY_EPISODE"], valid_sensed_minutes = config["ACCELEROMETER"]["FEATURES"]["VALID_SENSED_MINUTES"], output: "data/processed/{pid}/accelerometer_{day_segment}.csv" script: "../src/features/accelerometer_features.py" rule applications_foreground_features: input: expand("data/interim/{{pid}}/{sensor}_with_datetime_with_genre.csv", sensor=config["APPLICATIONS_FOREGROUND"]["DB_TABLE"]) params: day_segment = "{day_segment}", single_categories = config["APPLICATIONS_FOREGROUND"]["SINGLE_CATEGORIES"], multiple_categories = config["APPLICATIONS_FOREGROUND"]["MULTIPLE_CATEGORIES"], single_apps = config["APPLICATIONS_FOREGROUND"]["SINGLE_APPS"], excluded_categories = config["APPLICATIONS_FOREGROUND"]["EXCLUDED_CATEGORIES"], excluded_apps = config["APPLICATIONS_FOREGROUND"]["EXCLUDED_APPS"], features = config["APPLICATIONS_FOREGROUND"]["FEATURES"], output: "data/processed/{pid}/applications_foreground_{day_segment}.csv" script: "../src/features/applications_foreground_features.py" rule wifi_features: input: expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["WIFI"]["DB_TABLE"]) params: day_segment = "{day_segment}", features = config["WIFI"]["FEATURES"] output: "data/processed/{pid}/wifi_{day_segment}.csv" script: "../src/features/wifi_features.R" rule fitbit_heartrate_features: input: heartrate_summary_data = "data/raw/{pid}/fitbit_heartrate_summary_with_datetime.csv", heartrate_intraday_data = "data/raw/{pid}/fitbit_heartrate_intraday_with_datetime.csv" params: day_segment = "{day_segment}", summary_features = config["HEARTRATE"]["SUMMARY_FEATURES"], intraday_features = config["HEARTRATE"]["INTRADAY_FEATURES"] output: "data/processed/{pid}/fitbit_heartrate_{day_segment}.csv" script: "../src/features/fitbit_heartrate_features.py" rule fitbit_step_features: input: step_data = "data/raw/{pid}/fitbit_step_intraday_with_datetime.csv", sleep_data = optional_steps_sleep_input params: day_segment = "{day_segment}", features_all_steps = config["STEP"]["FEATURES"]["ALL_STEPS"], features_sedentary_bout = config["STEP"]["FEATURES"]["SEDENTARY_BOUT"], features_active_bout = config["STEP"]["FEATURES"]["ACTIVE_BOUT"], threshold_active_bout = config["STEP"]["THRESHOLD_ACTIVE_BOUT"], include_zero_step_rows = config["STEP"]["INCLUDE_ZERO_STEP_ROWS"], exclude_sleep = config["STEP"]["EXCLUDE_SLEEP"]["EXCLUDE"], exclude_sleep_type = config["STEP"]["EXCLUDE_SLEEP"]["TYPE"], exclude_sleep_fixed_start = config["STEP"]["EXCLUDE_SLEEP"]["FIXED"]["START"], exclude_sleep_fixed_end = config["STEP"]["EXCLUDE_SLEEP"]["FIXED"]["END"], output: "data/processed/{pid}/fitbit_step_{day_segment}.csv" script: "../src/features/fitbit_step_features.py" rule fitbit_sleep_features: input: sleep_summary_data = "data/raw/{pid}/fitbit_sleep_summary_with_datetime.csv", sleep_intraday_data = "data/raw/{pid}/fitbit_sleep_intraday_with_datetime.csv" params: day_segment = "{day_segment}", summary_features = config["SLEEP"]["SUMMARY_FEATURES"], sleep_types = config["SLEEP"]["SLEEP_TYPES"] output: "data/processed/{pid}/fitbit_sleep_{day_segment}.csv" script: "../src/features/fitbit_sleep_features.py"