rule download_participants: params: group = config["DOWNLOAD_PARTICIPANTS"]["GROUP"], ignored_device_ids = config["DOWNLOAD_PARTICIPANTS"]["IGNORED_DEVICE_IDS"], timezone = config["TIMEZONE"] priority: 1 script: "../src/data/download_participants.R" rule download_dataset: input: "data/external/{pid}" params: group = config["DOWNLOAD_DATASET"]["GROUP"], table = "{sensor}", timezone = config["TIMEZONE"] output: "data/raw/{pid}/{sensor}_raw.csv" script: "../src/data/download_dataset.R" rule readable_datetime: input: sensor_input = rules.download_dataset.output params: timezones = None, fixed_timezone = config["READABLE_DATETIME"]["FIXED_TIMEZONE"] wildcard_constraints: sensor = '(' + '|'.join([re.escape(x) for x in config["SENSORS"]]) + ')' # only process smartphone sensors, not fitbit output: "data/raw/{pid}/{sensor}_with_datetime.csv" script: "../src/data/readable_datetime.R" rule phone_valid_sensed_days: input: all_sensors = expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["SENSORS"]) params: bin_size = config["PHONE_VALID_SENSED_DAYS"]["BIN_SIZE"], min_valid_hours = config["PHONE_VALID_SENSED_DAYS"]["MIN_VALID_HOURS"], min_bins_per_hour = config["PHONE_VALID_SENSED_DAYS"]["MIN_BINS_PER_HOUR"] output: "data/interim/{pid}/phone_valid_sensed_days.csv" script: "../src/data/phone_valid_sensed_days.R" rule phone_sensed_bins: input: all_sensors = expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["SENSORS"]) params: bin_size = config["PHONE_VALID_SENSED_DAYS"]["BIN_SIZE"] output: "data/interim/{pid}/phone_sensed_bins.csv" script: "../src/data/phone_sensed_bins.R" rule unify_ios_android: input: sensor_data = "data/raw/{pid}/{sensor}_with_datetime.csv", participant_info = "data/external/{pid}" params: sensor = "{sensor}" output: "data/raw/{pid}/{sensor}_with_datetime_unified.csv" script: "../src/data/unify_ios_android.R" rule resample_fused_location: input: locations = "data/raw/{pid}/locations_raw.csv", phone_sensed_bins = rules.phone_sensed_bins.output params: bin_size = config["PHONE_VALID_SENSED_DAYS"]["BIN_SIZE"], timezone = config["RESAMPLE_FUSED_LOCATION"]["TIMEZONE"], consecutive_threshold = config["RESAMPLE_FUSED_LOCATION"]["CONSECUTIVE_THRESHOLD"], time_since_valid_location = config["RESAMPLE_FUSED_LOCATION"]["TIME_SINCE_VALID_LOCATION"] output: "data/raw/{pid}/locations_resampled.csv" script: "../src/data/resample_fused_location.R" rule application_genres: input: "data/raw/{pid}/applications_foreground_with_datetime.csv" params: catalogue_source = config["APPLICATION_GENRES"]["CATALOGUE_SOURCE"], catalogue_file = config["APPLICATION_GENRES"]["CATALOGUE_FILE"], update_catalogue_file = config["APPLICATION_GENRES"]["UPDATE_CATALOGUE_FILE"], scrape_missing_genres = config["APPLICATION_GENRES"]["SCRAPE_MISSING_GENRES"] output: "data/interim/{pid}/applications_foreground_with_datetime_with_genre.csv" script: "../src/data/application_genres.R" rule fitbit_with_datetime: input: "data/raw/{pid}/fitbit_data_raw.csv" params: local_timezone = config["READABLE_DATETIME"]["FIXED_TIMEZONE"], fitbit_sensor = "{fitbit_sensor}" output: "data/raw/{pid}/fitbit_{fitbit_sensor}_with_datetime.csv" script: "../src/data/fitbit_readable_datetime.py"