Migrate wifi to new file structure
parent
77d9d8f025
commit
eda58d9d2c
24
Snakefile
24
Snakefile
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@ -99,16 +99,20 @@ if config["APPLICATIONS_FOREGROUND"]["COMPUTE"]:
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files_to_compute.extend(expand("data/interim/{pid}/{sensor}_with_datetime_with_genre.csv", pid=config["PIDS"], sensor=config["APPLICATIONS_FOREGROUND"]["DB_TABLE"]))
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files_to_compute.extend(expand("data/processed/{pid}/applications_foreground_{day_segment}.csv", pid = config["PIDS"], day_segment = config["APPLICATIONS_FOREGROUND"]["DAY_SEGMENTS"]))
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if config["WIFI"]["COMPUTE"]:
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if len(config["WIFI"]["DB_TABLE"]["VISIBLE_ACCESS_POINTS"]) > 0:
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files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["WIFI"]["DB_TABLE"]["VISIBLE_ACCESS_POINTS"]))
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files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["WIFI"]["DB_TABLE"]["VISIBLE_ACCESS_POINTS"]))
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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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if len(config["WIFI"]["DB_TABLE"]["CONNECTED_ACCESS_POINTS"]) > 0:
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files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["WIFI"]["DB_TABLE"]["CONNECTED_ACCESS_POINTS"]))
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files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["WIFI"]["DB_TABLE"]["CONNECTED_ACCESS_POINTS"]))
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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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for provider in config["WIFI"]["PROVIDERS"].keys():
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if config["WIFI"]["PROVIDERS"][provider]["COMPUTE"]:
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if len(config["WIFI"]["DB_TABLE"]["VISIBLE_ACCESS_POINTS"]) > 0:
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files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["WIFI"]["DB_TABLE"]["VISIBLE_ACCESS_POINTS"]))
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files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["WIFI"]["DB_TABLE"]["VISIBLE_ACCESS_POINTS"]))
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files_to_compute.extend(expand("data/raw/{pid}/{sensor_key}_with_datetime_visibleandconnected.csv", pid=config["PIDS"], sensor_key="WIFI".lower()))
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files_to_compute.extend(expand("data/interim/{pid}/{sensor_key}_features/{sensor_key}_{language}_{provider_key}.csv", pid=config["PIDS"], language=config["WIFI"]["PROVIDERS"][provider]["SRC_LANGUAGE"], provider_key=provider, sensor_key="WIFI".lower()))
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files_to_compute.extend(expand("data/processed/features/{pid}/{sensor_key}.csv", pid=config["PIDS"], sensor_key="WIFI".lower()))
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if len(config["WIFI"]["DB_TABLE"]["CONNECTED_ACCESS_POINTS"]) > 0:
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files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["WIFI"]["DB_TABLE"]["CONNECTED_ACCESS_POINTS"]))
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files_to_compute.extend(expand("data/raw/{pid}/{sensor}_with_datetime.csv", pid=config["PIDS"], sensor=config["WIFI"]["DB_TABLE"]["CONNECTED_ACCESS_POINTS"]))
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files_to_compute.extend(expand("data/raw/{pid}/{sensor_key}_with_datetime_visibleandconnected.csv", pid=config["PIDS"], sensor_key="WIFI".lower()))
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files_to_compute.extend(expand("data/interim/{pid}/{sensor_key}_features/{sensor_key}_{language}_{provider_key}.csv", pid=config["PIDS"], language=config["WIFI"]["PROVIDERS"][provider]["SRC_LANGUAGE"], provider_key=provider, sensor_key="WIFI".lower()))
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files_to_compute.extend(expand("data/processed/features/{pid}/{sensor_key}.csv", pid=config["PIDS"], sensor_key="WIFI".lower()))
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if config["HEARTRATE"]["COMPUTE"]:
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files_to_compute.extend(expand("data/raw/{pid}/{sensor}_raw.csv", pid=config["PIDS"], sensor=config["HEARTRATE"]["DB_TABLE"]))
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10
config.yaml
10
config.yaml
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@ -106,7 +106,6 @@ BLUETOOTH:
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PROVIDERS:
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RAPIDS:
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COMPUTE: False
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DAY_SEGMENTS: *day_segments
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FEATURES: ["countscans", "uniquedevices", "countscansmostuniquedevice"]
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SRC_FOLDER: "rapids" # inside src/features/bluetooth
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SRC_LANGUAGE: "r"
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@ -197,12 +196,15 @@ SLEEP:
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SUMMARY_FEATURES: ["sumdurationafterwakeup", "sumdurationasleep", "sumdurationawake", "sumdurationtofallasleep", "sumdurationinbed", "avgefficiency", "countepisode"]
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WIFI:
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COMPUTE: False
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DB_TABLE:
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VISIBLE_ACCESS_POINTS: "wifi" # if you only have a CONNECTED_ACCESS_POINTS table, set this value to ""
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CONNECTED_ACCESS_POINTS: "sensor_wifi" # if you only have a VISIBLE_ACCESS_POINTS table, set this value to ""
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DAY_SEGMENTS: *day_segments
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FEATURES: ["countscans", "uniquedevices", "countscansmostuniquedevice"]
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PROVIDERS:
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RAPIDS:
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COMPUTE: False
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FEATURES: ["countscans", "uniquedevices", "countscansmostuniquedevice"]
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SRC_FOLDER: "rapids" # inside src/features/bluetooth
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SRC_LANGUAGE: "r"
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CONVERSATION:
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COMPUTE: False
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@ -227,16 +227,29 @@ rule applications_foreground_features:
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script:
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"../src/features/applications_foreground_features.py"
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rule wifi_features:
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rule wifi_r_features:
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input:
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expand("data/raw/{{pid}}/{sensor}_with_datetime.csv", sensor=config["WIFI"]["DB_TABLE"]),
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day_segments = expand("data/interim/{sensor}_day_segments.csv", sensor=config["WIFI"]["DB_TABLE"])
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sensor_data = expand("data/raw/{{pid}}/{sensor_key}_with_datetime_visibleandconnected.csv", sensor_key="WIFI".lower()),
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day_segments_labels = "data/interim/day_segments_labels.csv"
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params:
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features = config["WIFI"]["FEATURES"]
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provider = lambda wildcards: config["WIFI"]["PROVIDERS"][wildcards.provider_key],
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provider_key = "{provider_key}"
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output:
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"data/processed/{pid}/wifi_features.csv"
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"data/interim/{pid}/wifi_features/wifi_r_{provider_key}.csv"
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script:
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"../src/features/wifi_features.R"
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"../src/features/wifi/wifi_entry.R"
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rule wifi_python_features:
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input:
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sensor_data = expand("data/raw/{{pid}}/{sensor_key}_with_datetime_visibleandconnected.csv", sensor_key="WIFI".lower()),
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day_segments_labels = "data/interim/day_segments_labels.csv"
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params:
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provider = lambda wildcards: config["WIFI"]["PROVIDERS"][wildcards.provider_key],
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provider_key = "{provider_key}"
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output:
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"data/interim/{pid}/wifi_features/wifi_python_{provider_key}.csv"
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script:
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"../src/features/wifi/wifi_entry.py"
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rule fitbit_heartrate_features:
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input:
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@ -172,3 +172,11 @@ rule fitbit_sleep_with_datetime:
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intraday_data = "data/raw/{pid}/fitbit_sleep_intraday_with_datetime.csv"
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script:
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"../src/data/fitbit_readable_datetime.py"
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rule join_wifi_tables:
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input:
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unpack(optional_wifi_input)
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output:
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"data/raw/{pid}/wifi_with_datetime_visibleandconnected.csv"
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script:
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"../src/data/join_visible_and_connected_wifi.R"
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@ -0,0 +1,18 @@
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source("renv/activate.R")
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library("dplyr")
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if(!is.null(snakemake@input[["visible_access_points"]]) && is.null(snakemake@input[["connected_access_points"]])){
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wifi_data <- read.csv(snakemake@input[["visible_access_points"]], stringsAsFactors = FALSE)
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wifi_data <- wifi_data %>% mutate(connected = 0)
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} else if(is.null(snakemake@input[["visible_access_points"]]) && !is.null(snakemake@input[["connected_access_points"]])){
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wifi_data <- read.csv(snakemake@input[["connected_access_points"]], stringsAsFactors = FALSE)
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wifi_data <- wifi_data %>% mutate(connected = 1)
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} else if(!is.null(snakemake@input[["visible_access_points"]]) && !is.null(snakemake@input[["connected_access_points"]])){
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visible_access_points <- read.csv(snakemake@input[["visible_access_points"]], stringsAsFactors = FALSE)
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visible_access_points <- visible_access_points %>% mutate(connected = 0)
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connected_access_points <- read.csv(snakemake@input[["connected_access_points"]], stringsAsFactors = FALSE)
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connected_access_points <- connected_access_points %>% mutate(connected = 1)
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wifi_data <- bind_rows(visible_access_points, connected_access_points) %>% arrange(timestamp)
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}
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write.csv(wifi_data, snakemake@output[[1]], row.names = FALSE)
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@ -20,7 +20,7 @@ fetch_provider_features <- function(provider, provider_key, config_key, sensor_d
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day_segments_labels <- read.csv(day_segments_file, stringsAsFactors = FALSE)
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if(!"FEATURES" %in% names(provider))
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stop(paste0("Provider config[CALLS][PROVIDERS][", provider_key,"] is missing a FEATURES attribute in config.yaml"))
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stop(paste0("Provider config[", config_key,"][PROVIDERS][", provider_key,"] is missing a FEATURES attribute in config.yaml"))
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if(provider[["COMPUTE"]] == TRUE){
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code_path <- paste0("src/features/", config_key,"/", provider[["SRC_FOLDER"]], "/main.R")
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@ -1,18 +1,12 @@
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library(dplyr)
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filter_by_day_segment <- function(data, day_segment) {
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if(day_segment != "daily")
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data <- data %>% filter(local_day_segment == day_segment)
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return(data %>% group_by(local_date))
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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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data <- data %>% filter_data_by_segment(day_segment)
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if(feature %in% c("countscans", "uniquedevices")){
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data <- data %>% group_by(local_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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"countscans" = data %>% summarise(!!paste("wifi_rapids", feature, sep = "_") := n()),
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"uniquedevices" = data %>% summarise(!!paste("wifi_rapids", 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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@ -25,15 +19,16 @@ compute_wifi_feature <- function(data, feature, day_segment){
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pull(bssid)
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return(data %>%
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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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group_by(local_segment) %>%
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summarise(!!paste("wifi_rapids", feature, sep = "_") := n()) %>%
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replace(is.na(.), 0))
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}
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}
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base_wifi_features <- function(wifi_data, day_segment, requested_features){
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rapids_features <- function(wifi_data, day_segment, provider){
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requested_features <- provider[["FEATURES"]]
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# Output dataframe
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features = data.frame(local_date = character(), stringsAsFactors = FALSE)
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features = data.frame(local_segment = character(), stringsAsFactors = FALSE)
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# The name of the features this function can compute
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base_features_names <- c("countscans", "uniquedevices", "countscansmostuniquedevice")
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@ -42,8 +37,8 @@ base_wifi_features <- function(wifi_data, day_segment, requested_features){
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features_to_compute <- intersect(base_features_names, requested_features)
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for(feature_name in features_to_compute){
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feature <- compute_wifi_feature(wifi_data, feature_name, day_segment)
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features <- merge(features, feature, by="local_date", all = TRUE)
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feature <- compute_wifi_feature(wifi_data, feature_name, day_segment)
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features <- merge(features, feature, by="local_segment", all = TRUE)
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}
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return(features)
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@ -0,0 +1,13 @@
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source("renv/activate.R")
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source("src/features/utils/utils.R")
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library("dplyr")
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library("tidyr")
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sensor_data_file <- snakemake@input[["sensor_data"]]
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day_segments_file <- snakemake@input[["day_segments_labels"]]
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provider <- snakemake@params["provider"][["provider"]]
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provider_key <- snakemake@params["provider_key"]
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sensor_features <- fetch_provider_features(provider, provider_key, "wifi", sensor_data_file, day_segments_file)
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write.csv(sensor_features, snakemake@output[[1]], row.names = FALSE)
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@ -0,0 +1,18 @@
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import pandas as pd
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from importlib import import_module, util
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from pathlib import Path
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# import fetch_provider_features from src/features/utils/utils.py
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spec = util.spec_from_file_location("util", str(Path(snakemake.scriptdir).parent / "utils" / "utils.py"))
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mod = util.module_from_spec(spec)
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spec.loader.exec_module(mod)
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fetch_provider_features = getattr(mod, "fetch_provider_features")
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sensor_data_file = snakemake.input["sensor_data"][0]
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day_segments_file = snakemake.input["day_segments_labels"]
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provider = snakemake.params["provider"]
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provider_key = snakemake.params["provider_key"]
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sensor_features = fetch_provider_features(provider, provider_key, "wifi", sensor_data_file, day_segments_file)
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sensor_features.to_csv(snakemake.output[0], index=False)
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