93 lines
4.4 KiB
YAML
93 lines
4.4 KiB
YAML
# Valid database table names
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SENSORS: [applications_crashes, applications_foreground, applications_notifications, battery, bluetooth, calls, fitbit_data, locations, messages, plugin_ambient_noise, plugin_device_usage, plugin_google_activity_recognition, screen]
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FITBIT_TABLE: [fitbit_data]
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FITBIT_SENSORS: [heartrate, steps, sleep]
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# Participants to include in the analysis
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# You must create a file for each participant
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# named pXXX containing their device_id
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PIDS: [p01, p02]
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# Global var with common day segments
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DAY_SEGMENTS: &day_segments
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[daily, morning, afternoon, evening, night]
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# Global timezone
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# Use codes from https://en.wikipedia.org/wiki/List_of_tz_database_time_zones
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# Double check your code, for example EST is not US Eastern Time.
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TIMEZONE: &timezone
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America/New_York
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# Download data config
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DOWNLOAD_DATASET:
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GROUP: AAPECS
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# Readable datetime config
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READABLE_DATETIME:
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FIXED_TIMEZONE: *timezone
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# Communication SMS features config, TYPES and METRICS keys need to match
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SMS:
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TYPES : [received, sent]
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METRICS:
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received: [count, distinctcontacts, timefirstsms, timelastsms, countmostfrequentcontact]
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sent: [count, distinctcontacts, timefirstsms, timelastsms, countmostfrequentcontact]
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DAY_SEGMENTS: *day_segments
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# Communication call features config, TYPES and METRICS keys need to match
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CALLS:
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TYPES: [missed, incoming, outgoing]
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METRICS:
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missed: [count, distinctcontacts, timefirstcall, timelastcall, countmostfrequentcontact]
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incoming: [count, distinctcontacts, meanduration, sumduration, minduration, maxduration, stdduration, modeduration, hubermduration, varqnduration, entropyduration, timefirstcall, timelastcall, countmostfrequentcontact]
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outgoing: [count, distinctcontacts, meanduration, sumduration, minduration, maxduration, stdduration, modeduration, hubermduration, varqnduration, entropyduration, timefirstcall, timelastcall, countmostfrequentcontact]
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DAY_SEGMENTS: *day_segments
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APPLICATION_GENRES:
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CATALOGUE_SOURCE: FILE # FILE (genres are read from CATALOGUE_FILE) or GOOGLE (genres are scrapped from the Play Store)
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CATALOGUE_FILE: "data/external/stachl_application_genre_catalogue.csv"
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UPDATE_CATALOGUE_FILE: false # if CATALOGUE_SOURCE is equal to FILE, whether or not to update CATALOGUE_FILE, if CATALOGUE_SOURCE is equal to GOOGLE all scraped genres will be saved to CATALOGUE_FILE
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SCRAPE_MISSING_GENRES: false # whether or not to scrape missing genres, only effective if CATALOGUE_SOURCE is equal to FILE. If CATALOGUE_SOURCE is equal to GOOGLE, all genres are scraped anyway
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PHONE_VALID_SENSED_DAYS:
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BIN_SIZE: 5 # (in minutes)
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MIN_VALID_HOURS: 20 # (out of 24)
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MIN_BINS_PER_HOUR: 8 # (out of 60min/BIN_SIZE bins)
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RESAMPLE_FUSED_LOCATION:
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CONSECUTIVE_THRESHOLD: 30 # minutes, only replicate location samples to the next sensed bin if the phone did not stop collecting data for more than this threshold
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TIME_SINCE_VALID_LOCATION: 12 # hours, only replicate location samples to consecutive sensed bins if they were logged within this threshold after a valid location row
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TIMEZONE: *timezone
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BARNETT_LOCATION:
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LOCATIONS_TO_USE: ALL # ALL_EXCEPT_FUSED, RESAMPLE_FUSED
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ACCURACY_LIMIT: 51 # meters, drops location coordinates with an accuracy higher than this. This number means there's a 68% probability the true location is within this radius
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TIMEZONE: *timezone
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BLUETOOTH:
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DAY_SEGMENTS: *day_segments
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METRICS: ["countscans", "uniquedevices", "countscansmostuniquedevice"]
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GOOGLE_ACTIVITY_RECOGNITION:
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DAY_SEGMENTS: *day_segments
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METRICS: ['count','most_common_activity','number_unique_activities','activity_change_count']
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BATTERY:
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DAY_SEGMENTS: *day_segments
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METRICS: ["countdischarge", "sumdurationdischarge", "countcharge", "sumdurationcharge", "avgconsumptionrate", "maxconsumptionrate"]
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SCREEN:
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DAY_SEGMENTS: *day_segments
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METRICS_EVENTS: ["counton", "countunlock", "unlocksperminute"]
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METRICS_DELTAS: ["sumduration", "maxduration", "minduration", "avgduration", "stdduration"]
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EPISODES: ["unlock"]
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LIGHT:
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DAY_SEGMENTS: *day_segments
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METRICS: ["count", "maxlux", "minlux", "avglux", "medianlux", "stdlux"]
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ACCELEROMETER:
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DAY_SEGMENTS: *day_segments
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METRICS: ["maxmagnitude", "minmagnitude", "avgmagnitude", "medianmagnitude", "stdmagnitude", "ratioexertionalactivityepisodes", "sumexertionalactivityepisodes", "longestexertionalactivityepisode", "longestnonexertionalactivityepisode", "countexertionalactivityepisodes", "countnonexertionalactivityepisodes"]
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