rapids/rules/features.smk

374 lines
16 KiB
Plaintext
Raw Normal View History

rule join_features_from_providers:
input:
location_features = find_features_files
output:
"data/processed/features/{pid}/{sensor_key}.csv"
script:
"../src/features/join_features_from_providers.R"
2020-08-31 19:34:15 +02:00
rule messages_r_features:
input:
sensor_data = expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["MESSAGES"]["DB_TABLE"]),
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
2020-08-31 19:34:15 +02:00
params:
provider = lambda wildcards: config["MESSAGES"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
output:
"data/interim/{pid}/messages_features/messages_r_{provider_key}.csv"
script:
"../src/features/messages/messages_entry.R"
rule messages_python_features:
input:
sensor_data = expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["MESSAGES"]["DB_TABLE"]),
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
2019-10-24 22:27:43 +02:00
params:
2020-08-31 19:34:15 +02:00
provider = lambda wildcards: config["MESSAGES"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
2019-10-24 22:27:43 +02:00
output:
2020-08-31 19:34:15 +02:00
"data/interim/{pid}/messages_features/messages_python_{provider_key}.csv"
2019-10-24 22:27:43 +02:00
script:
2020-08-31 19:34:15 +02:00
"../src/features/messages/messages_entry.py"
2019-10-25 16:21:09 +02:00
rule calls_python_features:
input:
sensor_data = expand("data/raw/{{pid}}/{sensor}_with_datetime_unified.csv", sensor=config["CALLS"]["DB_TABLE"]),
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
params:
provider = lambda wildcards: config["CALLS"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
output:
"data/interim/{pid}/calls_features/calls_python_{provider_key}.csv"
script:
"../src/features/calls/calls_entry.py"
rule calls_r_features:
input:
sensor_data = expand("data/raw/{{pid}}/{sensor}_with_datetime_unified.csv", sensor=config["CALLS"]["DB_TABLE"]),
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
2019-10-25 16:21:09 +02:00
params:
provider = lambda wildcards: config["CALLS"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
2019-10-25 16:21:09 +02:00
output:
"data/interim/{pid}/calls_features/calls_r_{provider_key}.csv"
2019-10-25 16:21:09 +02:00
script:
"../src/features/calls/calls_entry.R"
2019-11-05 16:47:55 +01:00
rule battery_episodes:
2019-11-05 16:47:55 +01:00
input:
expand("data/raw/{{pid}}/{sensor}_raw.csv", sensor=config["BATTERY"]["DB_TABLE"])
2019-11-05 16:47:55 +01:00
output:
"data/interim/{pid}/battery_episodes.csv"
2019-11-05 16:47:55 +01:00
script:
"../src/features/battery/episodes/battery_episodes.R"
2019-11-05 21:17:20 +01:00
rule screen_episodes:
2019-11-27 21:27:48 +01:00
input:
screen = expand("data/raw/{{pid}}/{sensor}_with_datetime_unified.csv", sensor=config["SCREEN"]["DB_TABLE"])
2019-11-27 21:27:48 +01:00
output:
"data/interim/{pid}/screen_episodes.csv"
2019-11-27 21:27:48 +01:00
script:
"../src/features/screen/episodes/screen_episodes.R"
rule resample_episodes:
input:
"data/interim/{pid}/{sensor}_episodes.csv"
output:
"data/interim/{pid}/{sensor}_episodes_resampled.csv"
script:
"../src/features/utils/resample_episodes.R"
rule resample_episodes_with_datetime:
input:
sensor_input = "data/interim/{pid}/{sensor}_episodes_resampled.csv",
day_segments = "data/interim/day_segments/{pid}_day_segments.csv"
params:
timezones = None,
fixed_timezone = config["READABLE_DATETIME"]["FIXED_TIMEZONE"],
day_segments_type = config["DAY_SEGMENTS"]["TYPE"],
include_past_periodic_segments = config["DAY_SEGMENTS"]["INCLUDE_PAST_PERIODIC_SEGMENTS"]
output:
"data/interim/{pid}/{sensor}_episodes_resampled_with_datetime.csv"
script:
"../src/data/readable_datetime.R"
2019-11-27 21:27:48 +01:00
2019-11-27 21:53:37 +01:00
rule google_activity_recognition_deltas:
input:
expand("data/raw/{{pid}}/{sensor}_with_datetime_unified.csv", sensor=config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["ANDROID"])
2019-11-27 21:53:37 +01:00
output:
2020-09-22 23:32:51 +02:00
expand("data/interim/{{pid}}/{sensor}_episodes.csv", sensor=config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["ANDROID"])
2019-11-27 21:53:37 +01:00
script:
2020-09-22 23:32:51 +02:00
"../src/features/ar/episodes/activity_recognition_episodes.R"
rule ios_activity_recognition_deltas:
input:
expand("data/raw/{{pid}}/{sensor}_with_datetime_unified.csv", sensor=config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["IOS"])
output:
2020-09-22 23:32:51 +02:00
expand("data/interim/{{pid}}/{sensor}_episodes.csv", sensor=config["ACTIVITY_RECOGNITION"]["DB_TABLE"]["IOS"])
script:
2020-09-22 23:32:51 +02:00
"../src/features/ar/episodes/activity_recognition_episodes.R"
2019-11-27 21:53:37 +01:00
rule locations_python_features:
2019-11-05 21:17:20 +01:00
input:
2020-10-07 17:51:31 +02:00
sensor_data = expand("data/interim/{{pid}}/{sensor}_processed_{locations_to_use}_with_datetime.csv", sensor=config["LOCATIONS"]["DB_TABLE"], locations_to_use=config["LOCATIONS"]["LOCATIONS_TO_USE"]),
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
2019-11-05 21:17:20 +01:00
params:
provider = lambda wildcards: config["LOCATIONS"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}",
2019-11-05 21:17:20 +01:00
output:
"data/interim/{pid}/locations_features/locations_python_{provider_key}.csv"
2019-11-05 21:17:20 +01:00
script:
"../src/features/locations/locations_entry.py"
2019-11-06 18:19:30 +01:00
rule locations_r_features:
input:
2020-10-07 17:51:31 +02:00
sensor_data = expand("data/interim/{{pid}}/{sensor}_processed_{locations_to_use}_with_datetime.csv", sensor=config["LOCATIONS"]["DB_TABLE"], locations_to_use=config["LOCATIONS"]["LOCATIONS_TO_USE"]),
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
params:
provider = lambda wildcards: config["LOCATIONS"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
output:
"data/interim/{pid}/locations_features/locations_r_{provider_key}.csv"
script:
"../src/features/locations/locations_entry.R"
rule bluetooth_r_features:
input:
sensor_data = expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["BLUETOOTH"]["DB_TABLE"]),
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
params:
provider = lambda wildcards: config["BLUETOOTH"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
output:
"data/interim/{pid}/bluetooth_features/bluetooth_r_{provider_key}.csv"
script:
"../src/features/bluetooth/bluetooth_entry.R"
rule bluetooth_python_features:
input:
sensor_data = expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["BLUETOOTH"]["DB_TABLE"]),
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
2019-11-06 18:19:30 +01:00
params:
provider = lambda wildcards: config["BLUETOOTH"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
2019-11-06 18:19:30 +01:00
output:
"data/interim/{pid}/bluetooth_features/bluetooth_python_{provider_key}.csv"
2019-11-06 18:19:30 +01:00
script:
"../src/features/bluetooth/bluetooth_entry.py"
rule activity_features:
input:
optional_ar_input
2019-11-18 20:22:08 +01:00
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_r_features:
input:
battery_episodes = "data/interim/{pid}/battery_episodes_resampled_with_datetime.csv",
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
params:
provider = lambda wildcards: config["BATTERY"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
output:
"data/interim/{pid}/battery_features/battery_r_{provider_key}.csv"
script:
"../src/features/battery/battery_entry.R"
rule battery_python_features:
input:
battery_episodes = "data/interim/{pid}/battery_episodes_resampled_with_datetime.csv",
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
params:
provider = lambda wildcards: config["BATTERY"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
output:
"data/interim/{pid}/battery_features/battery_python_{provider_key}.csv"
script:
"../src/features/battery/battery_entry.py"
2019-11-27 20:25:17 +01:00
rule screen_r_features:
2019-11-27 20:25:17 +01:00
input:
screen_episodes = "data/interim/{pid}/screen_episodes_resampled_with_datetime.csv",
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
2019-11-27 20:25:17 +01:00
params:
provider = lambda wildcards: config["SCREEN"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
output:
"data/interim/{pid}/screen_features/screen_r_{provider_key}.csv"
script:
"../src/features/screen/screen_entry.R"
rule screen_python_features:
input:
screen_episodes = "data/interim/{pid}/screen_episodes_resampled_with_datetime.csv",
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
params:
provider = lambda wildcards: config["SCREEN"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
2019-11-27 20:25:17 +01:00
output:
"data/interim/{pid}/screen_features/screen_python_{provider_key}.csv"
2019-11-27 20:25:17 +01:00
script:
"../src/features/screen/screen_entry.py"
2020-01-14 15:51:39 +01:00
2020-09-01 18:01:24 +02:00
rule light_r_features:
2020-01-14 15:51:39 +01:00
input:
2020-09-01 18:01:24 +02:00
sensor_data = expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["LIGHT"]["DB_TABLE"]),
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
2020-01-14 15:51:39 +01:00
params:
2020-09-01 18:01:24 +02:00
provider = lambda wildcards: config["LIGHT"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
output:
"data/interim/{pid}/light_features/light_r_{provider_key}.csv"
script:
"../src/features/light/light_entry.R"
rule light_python_features:
input:
sensor_data = expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["LIGHT"]["DB_TABLE"]),
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
2020-09-01 18:01:24 +02:00
params:
provider = lambda wildcards: config["LIGHT"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
2020-01-14 15:51:39 +01:00
output:
2020-09-01 18:01:24 +02:00
"data/interim/{pid}/light_features/light_python_{provider_key}.csv"
2020-01-14 15:51:39 +01:00
script:
2020-09-01 18:01:24 +02:00
"../src/features/light/light_entry.py"
2020-01-15 20:15:24 +01:00
rule conversation_r_features:
input:
sensor_data = optional_conversation_input,
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
params:
provider = lambda wildcards: config["CONVERSATION"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
output:
"data/interim/{pid}/conversation_features/conversation_r_{provider_key}.csv"
script:
"../src/features/conversation/conversation_entry.R"
rule conversation_python_features:
input:
sensor_data = optional_conversation_input,
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
params:
provider = lambda wildcards: config["CONVERSATION"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
output:
"data/interim/{pid}/conversation_features/conversation_python_{provider_key}.csv"
script:
"../src/features/conversation/conversation_entry.py"
rule accelerometer_features:
2020-01-15 20:15:24 +01:00
input:
expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["ACCELEROMETER"]["DB_TABLE"]),
2020-01-15 20:15:24 +01:00
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"],
2020-01-15 20:15:24 +01:00
output:
"data/processed/{pid}/accelerometer_{day_segment}.csv"
script:
"../src/features/accelerometer_features.py"
2020-01-29 22:22:53 +01:00
rule applications_foreground_r_features:
2020-02-07 17:52:55 +01:00
input:
sensor_data = expand("data/raw/{{pid}}/{sensor}_with_datetime_with_genre.csv", sensor=config["APPLICATIONS_FOREGROUND"]["DB_TABLE"]),
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
2020-02-07 17:52:55 +01:00
params:
provider = lambda wildcards: config["APPLICATIONS_FOREGROUND"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
output:
"data/interim/{pid}/applications_foreground_features/applications_foreground_r_{provider_key}.csv"
script:
"../src/features/applications_foreground/applications_foreground_entry.R"
rule applications_foreground_python_features:
input:
sensor_data = expand("data/raw/{{pid}}/{sensor}_with_datetime_with_genre.csv", sensor=config["APPLICATIONS_FOREGROUND"]["DB_TABLE"]),
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
params:
provider = lambda wildcards: config["APPLICATIONS_FOREGROUND"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
2020-02-07 17:52:55 +01:00
output:
"data/interim/{pid}/applications_foreground_features/applications_foreground_python_{provider_key}.csv"
2020-02-07 17:52:55 +01:00
script:
"../src/features/applications_foreground/applications_foreground_entry.py"
2020-02-07 17:52:55 +01:00
2020-09-01 00:51:06 +02:00
rule wifi_r_features:
input:
sensor_data = expand("data/raw/{{pid}}/{sensor_key}_with_datetime_visibleandconnected.csv", sensor_key="WIFI".lower()),
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
2020-09-01 00:51:06 +02:00
params:
provider = lambda wildcards: config["WIFI"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
output:
"data/interim/{pid}/wifi_features/wifi_r_{provider_key}.csv"
script:
"../src/features/wifi/wifi_entry.R"
rule wifi_python_features:
input:
sensor_data = expand("data/raw/{{pid}}/{sensor_key}_with_datetime_visibleandconnected.csv", sensor_key="WIFI".lower()),
2020-09-14 20:21:36 +02:00
day_segments_labels = "data/interim/day_segments/{pid}_day_segments_labels.csv"
params:
2020-09-01 00:51:06 +02:00
provider = lambda wildcards: config["WIFI"]["PROVIDERS"][wildcards.provider_key],
provider_key = "{provider_key}"
output:
2020-09-01 00:51:06 +02:00
"data/interim/{pid}/wifi_features/wifi_python_{provider_key}.csv"
script:
2020-09-01 00:51:06 +02:00
"../src/features/wifi/wifi_entry.py"
rule fitbit_heartrate_features:
2020-02-07 17:35:15 +01:00
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"
2020-02-07 17:35:15 +01:00
params:
day_segment = "{day_segment}",
2020-06-12 22:04:03 +02:00
summary_features = config["HEARTRATE"]["SUMMARY_FEATURES"],
intraday_features = config["HEARTRATE"]["INTRADAY_FEATURES"]
2020-02-07 17:35:15 +01:00
output:
"data/processed/{pid}/fitbit_heartrate_{day_segment}.csv"
script:
"../src/features/fitbit_heartrate_features.py"
2020-02-07 17:35:15 +01:00
rule fitbit_step_features:
2020-01-29 22:22:53 +01:00
input:
step_data = "data/raw/{pid}/fitbit_step_intraday_with_datetime.csv",
sleep_data = optional_steps_sleep_input
2020-01-29 22:22:53 +01:00
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"],
2020-01-29 22:22:53 +01:00
output:
"data/processed/{pid}/fitbit_step_{day_segment}.csv"
script:
"../src/features/fitbit_step_features.py"
2020-04-13 19:24:52 +02:00
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"
2020-04-13 19:24:52 +02:00
params:
day_segment = "{day_segment}",
2020-06-13 00:44:05 +02:00
summary_features = config["SLEEP"]["SUMMARY_FEATURES"],
sleep_types = config["SLEEP"]["SLEEP_TYPES"]
2020-04-13 19:24:52 +02:00
output:
"data/processed/{pid}/fitbit_sleep_{day_segment}.csv"
2020-04-13 19:24:52 +02:00
script:
"../src/features/fitbit_sleep_features.py"