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templogging/_targets.R
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# packages needed for targets | |
library(targets) | |
library(tarchetypes) | |
# this has helper functions | |
source("R/utilities.r") | |
# functions for the actual workflow | |
source("R/functions.r") | |
options(tidyverse.quiet = TRUE) | |
# magrittr will be available for every step | |
tar_option_set(packages = c("magrittr")) | |
# If the token is older than this long refresh it | |
token_lifespan <- as.difftime(60, units='mins') | |
token_target_path <- tar_path(access_token) | |
bucket_name <- Sys.getenv('BUCKET_NAME') | |
folder_name <- Sys.getenv('FOLDER_NAME') | |
if(!exists('process_date')) | |
{ | |
cat('No need to date to run\n') | |
process_date <- NULL | |
} else{ | |
cat(process_date) | |
} | |
# if we want to hardcode a data, but there has to be a better way | |
# start_now <- as.Date('2021-01-03') | |
list( | |
tar_force( | |
access_token, | |
get_token(api_key=Sys.getenv('ECOBEE_API_KEY'), refresh_token=Sys.getenv('ECOBEE_REFRESH_TOKEN')), | |
# if the token is too old or doesn't exist, run | |
if_not_na(Sys.time() - file.mtime(token_target_path), token_lifespan) >= token_lifespan | |
) | |
, tar_target( | |
thermostat_info, | |
get_thermostat_info(access_token) | |
) | |
, tar_target( | |
thermostat_ids, | |
get_thermostat_ids(thermostat_info) | |
) | |
, tar_target( | |
start_date, | |
# if we want to hardcode a data, but there has to be a better way | |
# start_now | |
compute_start_date(thermostat_info, override=process_date) | |
) | |
, tar_target( | |
end_date, | |
# if we want to hardcode a data, but there has to be a better way | |
# start_now + 1 | |
compute_end_date(thermostat_info, override=process_date) | |
) | |
, tar_target( | |
start_interval, | |
compute_start_interval(thermostat_info) | |
) | |
, tar_target( | |
end_interval, | |
compute_end_interval(start_interval) | |
) | |
, tar_target( | |
report, | |
get_report( | |
startDate=start_date, endDate=end_date, | |
startInterval=start_interval, endInterval=end_interval, | |
thermostats=thermostat_ids, | |
access_token=access_token | |
) | |
) | |
, tar_target( | |
thermostat_names, | |
get_thermostat_names(thermostat_info) | |
) | |
, tar_target( | |
central_thermostat_info, | |
extract_thermostat_info(report) | |
) | |
, tar_target( | |
sensor_info, | |
extract_sensor_info(report) | |
) | |
, tar_target( | |
all_info, | |
combine_thermostat_sensors(central_thermostat_info, sensor_info, thermostat_names) | |
) | |
, tar_target( | |
data_date, | |
# if we want to hardcode a data, but there has to be a better way | |
# start_now | |
get_local_date(thermostat_info, override=process_date) | |
) | |
, tar_target( | |
filename, | |
paste(data_date, 'csv', sep='.') | |
) | |
, tar_target( | |
filepath, | |
# tempfile(fileext='.csv') | |
here::here('data', filename) | |
) | |
, tar_target( | |
write_data, | |
write_file(all_info, file=filename), | |
format='file' | |
) | |
, tar_target( | |
put_to_bucket, | |
write_to_bucket(file=write_data, folder_name=folder_name, filename=filename, bucket_name=bucket_name) | |
# aws.s3::put_object( | |
# file=write_data, object=sprintf('%s/%s', folder_name, filename), bucket=bucket_name | |
# ) | |
) | |
, tar_change( | |
delete_file, | |
delete_file_if_exists(write_data), | |
change=put_to_bucket | |
) | |
) |