124 lines
4.9 KiB
R
Executable File
124 lines
4.9 KiB
R
Executable File
#setup ----
|
|
library(tidyverse)
|
|
library(influxdbclient)
|
|
library(rmarkdown)
|
|
|
|
if(Sys.info()[4] == "pseudotsuga") {
|
|
setwd("~/Documents/dataProjects/laundry_status")
|
|
} else {
|
|
setwd("/laundry_status")
|
|
}
|
|
Sys.setenv(TZ='America/Chicago')
|
|
# parameters needed to make connection to Database
|
|
token <- substr(read_file("data/api_key"), 1, 88)
|
|
org = "home_assistant"
|
|
bucket = "home_assistant"
|
|
## make connection to the influxDB bucket
|
|
home_assistant <- InfluxDBClient$new(url = "https://influxdb.dendroalsia.net",
|
|
token = token,
|
|
org = org)
|
|
update_interval <- 5
|
|
cronjob_interval <- 60
|
|
power_threshhold <- 10
|
|
# ---- set variables
|
|
entities <- data.frame(name = c("washing machine", "dryer"), entity_id = c("washing_machine_power", "dryer_power"))
|
|
|
|
# Define a function to calculate the time difference
|
|
calculateTimeAgo <- function(eventTime) {
|
|
current <- Sys.time() # Get the current time
|
|
timeDiff <- as.duration(current - eventTime) # Calculate the time difference
|
|
|
|
# Convert the time difference to appropriate units and format the result
|
|
if (timeDiff >= hours(24)) {
|
|
result <- paste(round(timeDiff / dhours(24)), "days ago")
|
|
} else if (timeDiff >= hours(1)) {
|
|
result <- paste(round(timeDiff / dhours(1)), "hours ago")
|
|
} else if (timeDiff >= minutes(1)) {
|
|
result <- paste(round(timeDiff / dminutes(1)), "minutes ago")
|
|
} else {
|
|
result <- "Just now"
|
|
}
|
|
|
|
return(result)
|
|
}
|
|
|
|
# ---- update_data function
|
|
update_data <- function(){
|
|
|
|
run_time <- Sys.time()
|
|
values <- home_assistant$query('from(bucket: "home_assistant") |> range(start: -7d) |> filter(fn: (r) => r["entity_id"] == "washing_machine_power" or r["entity_id"] == "dryer_power") |> filter(fn: (r) => r["_field"] == "value") |> filter(fn: (r) => r["_measurement"] == "W")',
|
|
POSIXctCol = NULL)
|
|
values <- bind_rows(values)
|
|
values <- values %>%
|
|
rename(value = "_value",
|
|
time = "_time")
|
|
values <- values %>%
|
|
mutate(
|
|
time = as.POSIXct(time, tz = "America/Chicago"),
|
|
status = ifelse(value > power_threshhold, "on", "off"))
|
|
|
|
values_by_entity <- as.list(NULL)
|
|
for(entity in entities$entity_id) {
|
|
values_by_entity[[entity]] <- values %>%
|
|
filter(entity_id %in% entity) %>%
|
|
mutate(end_time = c(time[-1], run_time))
|
|
}
|
|
values <- bind_rows(values_by_entity)
|
|
|
|
washer_last_on <- values %>% filter(entity_id == entities$entity_id[1], value > power_threshhold) %>% tail(1) %>% pull(end_time)
|
|
washer_last_off <- values %>% filter(entity_id == entities$entity_id[1], value < power_threshhold) %>% tail(1) %>% pull(end_time)
|
|
|
|
dryer_last_on <- values %>% filter(entity_id == entities$entity_id[2], value > power_threshhold) %>% tail(1) %>% pull(end_time)
|
|
dryer_last_off <- values %>% filter(entity_id == entities$entity_id[2], value < power_threshhold) %>% tail(1) %>% pull(end_time)
|
|
# ---- generate html
|
|
current_status <- as.list(NULL)
|
|
for (entity in entities$entity_id){
|
|
current_status[[entity]] <- ifelse(values %>% filter(entity_id %in% entity) %>% tail(1) %>% pull(value) > power_threshhold, "on", "off")
|
|
}
|
|
|
|
plot_1week <- ggplot(data = values) +
|
|
geom_tile(aes(x = time + seconds(round(as.numeric(difftime(end_time, time, unit = "secs")))/2),
|
|
y = entity_id,
|
|
width = seconds(round(as.numeric(difftime(end_time, time, unit = "secs")))),
|
|
height = 0.5,
|
|
fill = status)) +
|
|
scale_y_discrete(breaks = entities$entity_id, labels = entities$name) +
|
|
scale_x_datetime(date_breaks = "24 hours", date_labels = '%A', date_minor_breaks = "6 hours") +
|
|
theme(axis.text.x = element_text(angle = 30, vjust = 0.5)) +
|
|
labs(title = "The past week",
|
|
x = NULL,
|
|
y = NULL,
|
|
fill = NULL)
|
|
|
|
plot_1day <- ggplot(data = values %>% filter(time >= max(values$end_time) - hours(24))) +
|
|
geom_tile(aes(x = time + seconds(round(as.numeric(difftime(end_time, time, unit = "secs")))/2),
|
|
y = entity_id,
|
|
width = seconds(round(as.numeric(difftime(end_time, time, unit = "secs")))),
|
|
height = 0.5,
|
|
fill = status)) +
|
|
scale_y_discrete(breaks = entities$entity_id, labels = entities$name) +
|
|
scale_x_datetime(breaks = seq(round_date(max(values$end_time), "4 hours") - hours(24), round_date(max(values$end_time), "4 hours"), by = "4 hours"), date_labels = '%I:%M %p', date_minor_breaks = "1 hours") +
|
|
theme(axis.text.x = element_text(angle = 30, vjust = 0.5)) +
|
|
labs(title = "Last 24 hours",
|
|
x = NULL,
|
|
y = NULL,
|
|
fill = NULL)
|
|
|
|
render("laundry_status.Rmd",
|
|
output_dir = "html",
|
|
output_file = "index.html")
|
|
|
|
}
|
|
|
|
# for(i in 1:(cronjob_interval/update_interval)){
|
|
# message(Sys.time())
|
|
# update_data()
|
|
# Sys.sleep(60*update_interval)
|
|
# }
|
|
|
|
continue <- TRUE
|
|
while(continue){
|
|
message(Sys.time())
|
|
update_data()
|
|
Sys.sleep(60*update_interval)
|
|
} |