WIFI Bug fix and testing
parent
f24d2876fc
commit
9ca54f930d
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@ -59,7 +59,16 @@ Bluetooth
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""""""""""
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- The raw bluetooth data file contains data for 1 day.
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- The raw bluetooth data contains at least 2 records for each ``epoch``.
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- The raw bluetooth data contains at least 2 records for each ``epoch``. Each ``epoch`` has a record with a ``timestamp`` for the beginning boundary for that ``epoch`` and a record with a ``timestamp`` for the ending boundary for that ``epoch``. (e.g. For the ``morning`` epoch there is a record with a ``timestamp`` for ``6:00AM`` and another record with a ``timestamp`` for ``11:59:59AM``. These are to test edge cases)
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- An option of 5 bluetooth devices are randomly distributed throughout the data records.
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- There is one raw bluetooth data file each, for testing both iOS and Android data formats.
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- There is also an additional empty data file for both android and iOS for testing empty data files
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- There is also an additional empty data file for both android and iOS for testing empty data files.
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WIFI
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"""""
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- The raw WIFI data file contains data for 1 day.
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- The raw WIFI data contains at least 2 records for each ``epoch``. Each ``epoch`` has a record with a ``timestamp`` for the beginning boundary for that ``epoch`` and a record with a ``timestamp`` for the ending boundary for that ``epoch``. (e.g. For the ``morning`` epoch there is a record with a ``timestamp`` for ``6:00AM`` and another record with a ``timestamp`` for ``11:59:59AM``. These are to test edge cases)
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- An option of 5 access point devices is randomly distributed throughout the data records.
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- There is one raw WIFI data file each, for testing both iOS and Android data formats.
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- There is also an additional empty data file for both android and iOS for testing empty data files.
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@ -8,21 +8,26 @@ filter_by_day_segment <- function(data, day_segment) {
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}
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compute_wifi_feature <- function(data, feature, day_segment){
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data <- data %>% filter_by_day_segment(day_segment)
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if(feature %in% c("countscans", "uniquedevices")){
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data <- data %>% filter_by_day_segment(day_segment)
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data <- switch(feature,
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"countscans" = data %>% summarise(!!paste("wifi", day_segment, feature, sep = "_") := n()),
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"uniquedevices" = data %>% summarise(!!paste("wifi", day_segment, feature, sep = "_") := n_distinct(bssid)))
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return(data)
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} else if(feature == "countscansmostuniquedevice"){
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# Get the most scanned device
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data <- data %>% group_by(bssid) %>%
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mostuniquedevice <- data %>%
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group_by(bssid) %>%
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mutate(N=n()) %>%
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ungroup() %>%
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filter(N == max(N))
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filter(N == max(N)) %>%
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head(1) %>% # if there are multiple device with the same amount of scans pick the first one only
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pull(bssid)
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return(data %>%
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filter_by_day_segment(day_segment) %>%
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summarise(!!paste("wifi", day_segment, feature, sep = "_") := n()))
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filter(bssid == mostuniquedevice) %>%
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group_by(local_date) %>%
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summarise(!!paste("wifi", day_segment, feature, sep = "_") := n()) %>%
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replace(is.na(.), 0))
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}
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}
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@ -42,6 +42,11 @@ if config["BLUETOOTH"]["COMPUTE"]:
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files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["BLUETOOTH"]["DB_TABLE"]))
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files_to_compute.extend(expand("data/processed/{pid}/bluetooth_{segment}.csv", pid=config["PIDS"], segment = config["BLUETOOTH"]["DAY_SEGMENTS"]))
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if config["WIFI"]["COMPUTE"]:
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files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["WIFI"]["DB_TABLE"]))
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files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["WIFI"]["DB_TABLE"]))
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files_to_compute.extend(expand("data/processed/{pid}/wifi_{day_segment}.csv", pid = config["PIDS"], day_segment = config["WIFI"]["DAY_SEGMENTS"]))
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rule all:
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input:
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files_to_compute
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@ -0,0 +1,2 @@
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"local_date","wifi_afternoon_countscans","wifi_afternoon_uniquedevices","wifi_afternoon_countscansmostuniquedevice"
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"2020-07-03",2,2,1
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@ -0,0 +1,2 @@
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"local_date","wifi_daily_countscans","wifi_daily_uniquedevices","wifi_daily_countscansmostuniquedevice"
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"2020-07-03",14,5,6
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@ -0,0 +1,2 @@
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"local_date","wifi_evening_countscans","wifi_evening_uniquedevices","wifi_evening_countscansmostuniquedevice"
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"2020-07-03",3,3,1
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@ -0,0 +1,2 @@
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"local_date","wifi_morning_countscans","wifi_morning_uniquedevices","wifi_morning_countscansmostuniquedevice"
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"2020-07-03",4,3,2
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@ -0,0 +1,2 @@
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"local_date","wifi_night_countscans","wifi_night_uniquedevices","wifi_night_countscansmostuniquedevice"
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"2020-07-03",5,4,2
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@ -0,0 +1,2 @@
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"local_date","wifi_afternoon_countscans","wifi_afternoon_uniquedevices","wifi_afternoon_countscansmostuniquedevice"
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"2020-07-03",2,2,1
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@ -0,0 +1,2 @@
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"local_date","wifi_daily_countscans","wifi_daily_uniquedevices","wifi_daily_countscansmostuniquedevice"
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"2020-07-03",14,5,4
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@ -0,0 +1,2 @@
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"local_date","wifi_evening_countscans","wifi_evening_uniquedevices","wifi_evening_countscansmostuniquedevice"
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"2020-07-03",5,4,2
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@ -0,0 +1,2 @@
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"local_date","wifi_morning_countscans","wifi_morning_uniquedevices","wifi_morning_countscansmostuniquedevice"
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"2020-07-03",3,2,2
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@ -0,0 +1,2 @@
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"local_date","wifi_night_countscans","wifi_night_uniquedevices","wifi_night_countscansmostuniquedevice"
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"2020-07-03",4,4,1
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@ -0,0 +1 @@
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"local_date","wifi_afternoon_countscans","wifi_afternoon_uniquedevices","wifi_afternoon_countscansmostuniquedevice"
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@ -0,0 +1 @@
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"local_date","wifi_daily_countscans","wifi_daily_uniquedevices","wifi_daily_countscansmostuniquedevice"
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@ -0,0 +1 @@
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"local_date","wifi_evening_countscans","wifi_evening_uniquedevices","wifi_evening_countscansmostuniquedevice"
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@ -0,0 +1 @@
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"local_date","wifi_morning_countscans","wifi_morning_uniquedevices","wifi_morning_countscansmostuniquedevice"
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@ -0,0 +1 @@
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"local_date","wifi_night_countscans","wifi_night_uniquedevices","wifi_night_countscansmostuniquedevice"
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@ -0,0 +1 @@
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"local_date","wifi_afternoon_countscans","wifi_afternoon_uniquedevices","wifi_afternoon_countscansmostuniquedevice"
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@ -0,0 +1 @@
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"local_date","wifi_daily_countscans","wifi_daily_uniquedevices","wifi_daily_countscansmostuniquedevice"
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@ -0,0 +1 @@
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"local_date","wifi_evening_countscans","wifi_evening_uniquedevices","wifi_evening_countscansmostuniquedevice"
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@ -0,0 +1 @@
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"local_date","wifi_morning_countscans","wifi_morning_uniquedevices","wifi_morning_countscansmostuniquedevice"
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@ -0,0 +1 @@
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"local_date","wifi_night_countscans","wifi_night_uniquedevices","wifi_night_countscansmostuniquedevice"
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@ -0,0 +1,15 @@
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timestamp,device_id,bssid,ssid,security,frequency,rssi,label
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1593770400826,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,e6:06:da:af:f9:91,xfinity,[WPA2-EAP-CCMP][ESS],5180,-89,
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1593778094559,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,86:90:7b:8a:3e:43,WIRELESS-PITTNET,[WPA2-EAP-CCMP][ESS],5805,-95,
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1593785574027,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,e6:06:da:af:f9:91,xfinity,[WPA2-EAP-CCMP][ESS],5180,-93,
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1593791999936,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,d0:b8:2f:eb:0e:f8,CMU-SECURE,[WPA2-EAP-CCMP][ESS],5765,-83,
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1593792000442,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,3d:12:ec:de:96:e1,,[WPA2-EAP-CCMP][ESS],5765,-97,
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1593812070708,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,e6:06:da:af:f9:91,xfinity,[WPA2-EAP-CCMP][ESS],5765,-98,
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1593817199253,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,86:90:7b:8a:3e:43,WIRELESS-PITTNET,[WPA2-EAP-CCMP][ESS],5765,-79,
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1593813600578,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,3d:12:ec:de:96:e1,,[WPA2-EAP-CCMP][ESS],5765,-80,
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1593835199363,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,e6:06:da:af:f9:91,xfinity,[WPA2-EAP-CCMP][ESS],5180,-82,
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1593748800505,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,e6:06:da:af:f9:91,xfinity,[WPA2-EAP-CCMP][ESS],5180,-92,
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1593761511861,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,86:90:7b:8a:3e:43,WIRELESS-PITTNET,[WPA2-EAP-CCMP][ESS],5805,-84,
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1593760292500,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,e6:06:da:af:f9:91,xfinity,[WPA2-EAP-CCMP][ESS],5765,-91,
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1593762343842,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,24:2b:a2:55:8a:e0,eduroam,[WPA2-EAP-CCMP][ESS],5805,-100,
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1593770399830,wYESbVwI-4GfR-G5I6-7iKL-tOmCKs02MBun,d0:b8:2f:eb:0e:f8,CMU-SECURE,[WPA2-EAP-CCMP][ESS],5765,-75,
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@ -0,0 +1,15 @@
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timestamp,device_id,bssid,ssid,security,frequency,rssi,label
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1593770400547,7yKzcQm4-xKTC-0bhC-PZXC-3jAbRIXOsf5w,E6:06:DA:AF:F9:91,xfinity,,0,0,
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1593791999289,7yKzcQm4-xKTC-0bhC-PZXC-3jAbRIXOsf5w,E6:06:DA:AF:F9:91,xfinity,,0,0,
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1593774038251,7yKzcQm4-xKTC-0bhC-PZXC-3jAbRIXOsf5w,D0:B8:2F:EB:0E:F8,CMU-SECURE,,0,0,
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1593792000898,7yKzcQm4-xKTC-0bhC-PZXC-3jAbRIXOsf5w,3D:12:EC:DE:96:E1,,,0,0,
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1593813599019,7yKzcQm4-xKTC-0bhC-PZXC-3jAbRIXOsf5w,24:2B:A2:55:8A:E0,eduroam,,0,0,
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1593813600589,7yKzcQm4-xKTC-0bhC-PZXC-3jAbRIXOsf5w,E6:06:DA:AF:F9:91,xfinity,,0,0,
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1593835199588,7yKzcQm4-xKTC-0bhC-PZXC-3jAbRIXOsf5w,D0:B8:2F:EB:0E:F8,CMU-SECURE,,0,0,
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1593825019372,7yKzcQm4-xKTC-0bhC-PZXC-3jAbRIXOsf5w,24:2B:A2:55:8A:E0,eduroam,,0,0,
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1593833925830,7yKzcQm4-xKTC-0bhC-PZXC-3jAbRIXOsf5w,3D:12:EC:DE:96:E1,,,0,0,
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1593819918273,7yKzcQm4-xKTC-0bhC-PZXC-3jAbRIXOsf5w,3D:12:EC:DE:96:E1,,,0,0,
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1593748800099,7yKzcQm4-xKTC-0bhC-PZXC-3jAbRIXOsf5w,86:90:7B:8A:3E:43,WIRELESS-PITTNET,,0,0,
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1593770399772,7yKzcQm4-xKTC-0bhC-PZXC-3jAbRIXOsf5w,3D:12:EC:DE:96:E1,,,0,0,
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1593761699709,7yKzcQm4-xKTC-0bhC-PZXC-3jAbRIXOsf5w,24:2B:A2:55:8A:E0,eduroam,,0,0,
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1593751744305,7yKzcQm4-xKTC-0bhC-PZXC-3jAbRIXOsf5w,D0:B8:2F:EB:0E:F8,CMU-SECURE,,0,0,
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@ -0,0 +1 @@
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timestamp,device_id,bssid,ssid,security,frequency,rssi,label
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@ -0,0 +1 @@
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timestamp,device_id,bssid,ssid,security,frequency,rssi,label
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@ -2,4 +2,4 @@ directory: ./
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configfile: ./tests/settings/testing_config.yaml
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snakefile: ./tests/Snakefile
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cores: 1
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forcerun: [messages_features, call_features, screen_features, battery_features, bluetooth_features]
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forcerun: [messages_features, call_features, screen_features, battery_features, bluetooth_features, wifi_features]
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@ -1,10 +1,9 @@
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# Add as many sensor tables as you have, they all improve the computation of PHONE_SENSED_BINS.
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# If you are extracting screen or Barnett's location features, screen and locations tables are mandatory.
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TABLES_FOR_SENSED_BINS: [messages, calls, screen, battery, bluetooth]
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TABLES_FOR_SENSED_BINS: [messages, calls, screen, battery, bluetooth, wifi]
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# Participants to include in the analysis
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# You must create a file for each participant named pXXX containing their device_id. This can be done manually or automatically
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# PIDS: [test01, test02, test03, test04]
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PIDS: [test01, test02, test03, test04]
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@ -51,4 +50,10 @@ BLUETOOTH:
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COMPUTE: True
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DB_TABLE: bluetooth
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DAY_SEGMENTS: *day_segments
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FEATURES: ["countscans", "uniquedevices", "countscansmostuniquedevice"]
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FEATURES: ["countscans", "uniquedevices", "countscansmostuniquedevice"]
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WIFI:
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COMPUTE: True
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DB_TABLE: wifi
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DAY_SEGMENTS: *day_segments
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FEATURES: ["countscans", "uniquedevices", "countscansmostuniquedevice"]
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