rapids/rules/features.snakefile

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def optional_ar_input(wildcards):
with open("data/external/"+wildcards.pid, encoding="ISO-8859-1") as external_file:
external_file_content = external_file.readlines()
platform = external_file_content[1].strip()
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:
return []
def optional_conversation_input(wildcards):
with open("data/external/"+wildcards.pid, encoding="ISO-8859-1") as external_file:
external_file_content = external_file.readlines()
platform = external_file_content[1].strip()
if platform == "android":
return ["data/raw/{pid}/" + config["CONVERSATION"]["DB_TABLE"]["ANDROID"] + "_with_datetime.csv"]
else:
return ["data/raw/{pid}/" + config["CONVERSATION"]["DB_TABLE"]["ANDROID"] + "_with_datetime.csv"]
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"])
rule messages_features:
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input:
expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["MESSAGES"]["DB_TABLE"])
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params:
messages_type = "{messages_type}",
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day_segment = "{day_segment}",
features = lambda wildcards: config["MESSAGES"]["FEATURES"][wildcards.messages_type]
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output:
"data/processed/{pid}/messages_{messages_type}_{day_segment}.csv"
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script:
"../src/features/messages_features.R"
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rule call_features:
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input:
expand("data/raw/{{pid}}/{sensor}_with_datetime_unified.csv", sensor=config["CALLS"]["DB_TABLE"])
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params:
call_type = "{call_type}",
day_segment = "{day_segment}",
features = lambda wildcards: config["CALLS"]["FEATURES"][wildcards.call_type]
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output:
"data/processed/{pid}/calls_{call_type}_{day_segment}.csv"
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script:
"../src/features/call_features.R"
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rule battery_deltas:
input:
expand("data/raw/{{pid}}/{sensor}_with_datetime_unified.csv", sensor=config["BATTERY"]["DB_TABLE"])
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output:
"data/processed/{pid}/battery_deltas.csv"
script:
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"../src/features/battery_deltas.R"
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rule screen_deltas:
input:
screen = expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["SCREEN"]["DB_TABLE"]),
participant_info = "data/external/{pid}"
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output:
"data/processed/{pid}/screen_deltas.csv"
script:
"../src/features/screen_deltas.R"
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rule google_activity_recognition_deltas:
input:
expand("data/raw/{{pid}}/{sensor}_with_datetime_unified.csv", sensor=config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["ANDROID"])
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output:
expand("data/processed/{{pid}}/{sensor}_deltas.csv", sensor=config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["ANDROID"])
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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"
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rule location_barnett_features:
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input:
locations = optional_location_input
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params:
features = config["BARNETT_LOCATION"]["FEATURES"],
locations_to_use = config["BARNETT_LOCATION"]["LOCATIONS_TO_USE"],
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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}"
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output:
"data/processed/{pid}/location_barnett_{day_segment}.csv"
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script:
"../src/features/location_barnett_features.R"
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rule bluetooth_features:
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input:
expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["BLUETOOTH"]["DB_TABLE"])
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params:
day_segment = "{day_segment}",
features = config["BLUETOOTH"]["FEATURES"]
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output:
"data/processed/{pid}/bluetooth_{day_segment}.csv"
script:
"../src/features/bluetooth_features.R"
rule activity_features:
input:
optional_ar_input
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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"
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rule screen_features:
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input:
screen_deltas = "data/processed/{pid}/screen_deltas.csv",
phone_sensed_bins = "data/interim/{pid}/phone_sensed_bins.csv"
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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"],
bin_size = config["PHONE_VALID_SENSED_DAYS"]["BIN_SIZE"]
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output:
"data/processed/{pid}/screen_{day_segment}.csv"
script:
"../src/features/screen_features.py"
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rule light_features:
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input:
expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["LIGHT"]["DB_TABLE"]),
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params:
day_segment = "{day_segment}",
features = config["LIGHT"]["FEATURES"],
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output:
"data/processed/{pid}/light_{day_segment}.csv"
script:
"../src/features/light_features.py"
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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:
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input:
expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["ACCELEROMETER"]["DB_TABLE"]),
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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"],
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output:
"data/processed/{pid}/accelerometer_{day_segment}.csv"
script:
"../src/features/accelerometer_features.py"
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rule applications_foreground_features:
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input:
expand("data/interim/{{pid}}/{sensor}_with_datetime_with_genre.csv", sensor=config["APPLICATIONS_FOREGROUND"]["DB_TABLE"])
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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"],
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output:
"data/processed/{pid}/applications_foreground_{day_segment}.csv"
script:
"../src/features/applications_foreground_features.py"
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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:
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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"
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params:
day_segment = "{day_segment}",
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summary_features = config["HEARTRATE"]["SUMMARY_FEATURES"],
intraday_features = config["HEARTRATE"]["INTRADAY_FEATURES"]
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output:
"data/processed/{pid}/fitbit_heartrate_{day_segment}.csv"
script:
"../src/features/fitbit_heartrate_features.py"
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rule fitbit_step_features:
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input:
step_data = "data/raw/{pid}/fitbit_step_intraday_with_datetime.csv"
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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"]
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output:
"data/processed/{pid}/fitbit_step_{day_segment}.csv"
script:
"../src/features/fitbit_step_features.py"
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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"
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params:
day_segment = "{day_segment}",
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summary_features = config["SLEEP"]["SUMMARY_FEATURES"],
sleep_types = config["SLEEP"]["SLEEP_TYPES"]
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output:
"data/processed/{pid}/fitbit_sleep_{day_segment}.csv"
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script:
"../src/features/fitbit_sleep_features.py"