Main_script/old/DQC_Hourly_Linux_v4_test.R
In bridachristian/DataQualityCheckEuracAlpEnv:
#-------------------------------------------------------------------------------------------------------------------------------------------------------
# File Title: DQC_Multi_Files.R
# TITLE: Data quality check LTER on different files in scheduling folder
# Author: Brida Christian, Genova Giulio, Zandonai Alessandro
# Institute for Alpine Environment
# Data: 13/02/2018
# Version: 2.0
#
#------------------------------------------------------------------------------------------------------------------------------------------------------
rm(list = ls(all.names = TRUE))
print("--------------------------------------------------------------------------------------------------")
print(paste("Data Quality Check:",Sys.time()))
# ..... Libraries .....................................................................................................................................
# library(devtools,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# install_github("bridachristian/DataQualityCheckEuracAlpEnv")
# library("DataQualityCheckEuracAlpEnv")
# install_github("alexsanjoseph/compareDF")
# library(compareDF)
#
# library(zoo,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(knitr,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(ggplot2,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(reshape2,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(DT,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(htmltools,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(rmarkdown,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(yaml,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(highr,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
library(devtools)
install_github("bridachristian/DataQualityCheckEuracAlpEnv")
library("DataQualityCheckEuracAlpEnv")
install_github("alexsanjoseph/compareDF")
library(compareDF)
library(zoo)
library(knitr)
library(ggplot2)
library(reshape2)
library(DT)
library(htmltools)
library(rmarkdown)
library(yaml)
library(highr)
# Sys.setenv(RSTUDIO_PANDOC = "/usr/lib/rstudio/bin/pandoc/")
# .....................................................................................................................................................
# ..... Params section .....................................................................................................................................
# main_dir = "/shared/test_christian/"
main_dir = "H:/Projekte/LTER/03_Arbeitsbereiche/BriCh/shared/test_christian/"
project_type = c("LTER","MONALISA")
PROJECT = "LTER" # Possible project: "LTER"; "MONALISA";
input_dir <- paste(main_dir,"/Stations_Data/Data/LoggerNet_Raw_Data/Data/",sep = "") # where input files are
# input_dir <- paste("/shared","/Stations_Data/Data/LoggerNet_Raw_Data/Data/",sep = "") # where input files are
# project_dir <- "/home/cbrida/DataQualityCheckEuracAlpEnv/" # where package is developed or cloned from github
project_dir <- "C:/Users/CBrida/Desktop/myDQC/DataQualityCheckEuracAlpEnv/" # where package is developed or cloned from github
DQC_setting_dir <- paste(main_dir,"/Stations_Data/DQC/",sep = "")
logger_info_file <- paste(DQC_setting_dir,"/Process/Logger_number_and_software.csv", sep = "")
range_dir <- paste(DQC_setting_dir,"/Process/", sep = "")
download_table_dir <- paste(DQC_setting_dir,"/Process/", sep = "")
warning_report_RMD = paste(project_dir,"/Rmd/DQC_Warning_Reports.Rmd",sep = "")
# !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! TO REMOVE !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
# issue_counter_dir <- paste(DQC_setting_dir,"/Process/", sep = "")#
# issue_flags_dir <- paste(DQC_setting_dir,"/Process/issue_flags", sep = "")
# MESSAGE_EVERY_TIMES = 24
# !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
date_DQC = as.POSIXct(format(Sys.time(),format = "%Y-%m-%d %H:%M"), tz = 'Etc/GMT-1')
loggernet_status = c()
# file.create(paste(DQC_setting_dir,"lock_DQC.lock",sep = ""))
for(PROJECT in project_type){
data_output_dir <- paste(main_dir,"/Stations_Data/Data/DQC_Processed_Data/",PROJECT,"/Stations/",sep = "") # where to put output files
report_output_dir <- paste(main_dir,"/Stations_Data/Data/DQC_Processed_Data/",PROJECT,"/DQC_Reports/",sep = "") # where to put output reports
database_file_dir <- paste(main_dir,"/Stations_Data/Data/DQC_DB/",PROJECT,"/", sep = "") # where to put output files (MODIFIED FOR DATABASE TESTING) -----> "Permission denied"
warning_file_dir <- paste(main_dir,"/Stations_Data/Data/DQC_Warnings/",PROJECT,"/", sep = "") # where to put warnings html files
data_from_row = 5 # <-- Row number of first data
header_row_number = 2 # <-- Row number of header
datetime_header = "TIMESTAMP" # <-- header corresponding to TIMESTAMP
datetime_format = "%Y-%m-%d %H:%M" # <-- datetime format. Use only: Y -> year, m -> month, d -> day, H -> hour, M -> minute
datetime_sampling = "15 min"
record_header = "RECORD"
range_file = "Range_v2.csv"
write_output_files = "TRUE"
write_output_report = "FALSE"
# file <- "M4s.dat"
# start_date <- NA
# ~~~ Default directory ~~~~
# !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! TO REMOVE !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
#
# if(write_output_report == TRUE){
# Rmd_report_generator <- paste(project_dir, "Rmd/DQC_Report_Generator.Rmd",sep = "")
# }else{
# Rmd_report_generator <- paste(project_dir, "Rmd/DQC_Calculator_2.Rmd",sep = "")
# }
#
# !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
# ..........................................................................................................................................................
# ..... files selection .....................................................................................................................................
files_available_raw = dir(input_dir,pattern = ".dat") # <-- Admitted pattern: ".dat" or ".csv"
files_available_raw = files_available_raw[!grepl(pattern = "backup",x = files_available_raw)] # REMOVE FILES WITH WRONG NAMES (.dat.backup not admitted)
# if(PROJECT != "MONALISA"){
# files_available_raw = files_available_raw[!grepl(pattern = "IP",x = files_available_raw)] # <- for MONALISA IP in name is admitted
# }
files_available = files_available_raw[grepl(pattern = paste("^",PROJECT,sep = ""),x = files_available_raw)]
files_no_project = substring(files_available, nchar(PROJECT)+2, nchar(files_available)-4)
if(length(files_no_project) > 0){
u1 =c()
logg_data_NAME = c()
table_data_NAME = c()
for(h in 1:length(files_no_project)){
u1[h] = gregexpr(files_no_project,pattern = "_")[[h]][1] # <- here we find the sencond "[[1]][2]" underscore!!!!!
logg_data_NAME[h] = substring(text = files_no_project[h],first = 1,last = u1[h]-1)
table_data_NAME[h] = substring(text = files_no_project[h],first = u1[h]+1,last = nchar(files_no_project[h]))
}
df_files = data.frame(files_available, logg_data_NAME, table_data_NAME)
colnames(df_files) = c("Files", "LoggerNet_name", "Datatable_name")
# if(PROJECT == "LTER"){ # <--Filter files based on Project (diffent if is MONALISA or LTER)
# files_available = df_files$Files[which(df_files$LoggerNet_name == df_files$Datatable_name)]
# }
#
# if(PROJECT == "MONALISA"){ # <--Filter files based on Project (diffent if is MONALISA or LTER)
# # files_available = df_files$Files
# files_available = df_files$Files[which(df_files$Datatable_name == "MeteoVal")]
#
# }
} else{
files_available = files_no_project
}
# ..........................................................................................................................................................
# ..... download table section .....................................................................................................................................
download_table = read_and_update_download_table(DOWNLOAD_TABLE_DIR = download_table_dir, FILES_AVAILABLE = files_available, DATETIME_FORMAT = datetime_format, PROJECT = PROJECT)
# issue_counter = read_and_update_issue_counter(ISSUE_COUNTER_DIR = issue_counter_dir, FILES_AVAILABLE = files_available, DATETIME_FORMAT = datetime_format, PROJECT = PROJECT)
download_table_proj = download_table$Station[which(download_table$Project == PROJECT)]
# issue_counter_proj = issue_counter$Station[which(issue_counter$Project == PROJECT)]
files_available_project = files_available[which(substring(files_available,1, nchar(files_available)-4) %in% download_table_proj)]
# ~ ~ ~ temporary solution to avoid issue with Vimes1500 station ---> remove this if when data file will fix! ~ ~ ~
if("MONALISA_Vimes1500_Vimes1500.dat" %in% files_available_project){
files_available_project = files_available_project[-which(files_available_project == "MONALISA_Vimes1500_Vimes1500.dat")]
}
# ~ ~ ~ ~ ~ ~
############################################
final_dataframe = matrix(ncol = 20, nrow = length(files_available_project))
colnames(final_dataframe) = c("Station", "Status",
"flag_empty","flag_logger_number", "flag_error_df","flag_date",
"flag_duplicates_rows","flag_overlap","flag_missing_records","flag_missing_dates",
"flag_range_variable_to_set","flag_range_variable_new","flag_out_of_range",
"flag_new_duplicates_rows","flag_new_overlap","flag_new_missing_dates", "flag_missing_records_new",
"Report_link", "Data_folder", "File_name")
report_start = Sys.time()
t = 1
for(t in 1: length(files_available_project)){
gc(reset = T)
rm(list = setdiff(ls(all.names = TRUE),c("date_DQC","main_dir","PROJECT","DQC_setting_dir","t","data_from_row","datetime_format","datetime_header","datetime_sampling","loggernet_status",
"download_table","download_table_dir","issue_counter", "issue_counter_dir","issue_counter_proj",
"files_available","files_available_project","header_row_number","input_dir","data_output_dir","output_dir_raw","report_output_dir","project_dir",
"range_dir","range_file","record_header","Rmd_report_generator","write_output_files","write_output_report","flag_names",
"report_start", "final_dataframe","output_dir_report", "database_file_dir","logger_info_file","MESSAGE_EVERY_TIMES","issue_flags_dir","warning_file_dir","warning_report_RMD")))
FILE_NAME = files_available_project[t]
u1 = gregexpr(FILE_NAME,pattern = "_")[[1]][1] # <- here we find the first "[[1]][1]" underscore!!!!!
u2 = gregexpr(FILE_NAME,pattern = "_")[[1]][2] # <- here we find the second "[[1]][2]" underscore!!!!!
# if(PROJECT == "MONALISA"){
# STATION_NAME = substring(FILE_NAME,u1+1, u1+9)
# }else{
# STATION_NAME = substring(FILE_NAME,u1+1, u2-1)
# }
STATION_NAME = substring(FILE_NAME,u1+1, u2-1)
w_dwnl = which(download_table$Station == substring(FILE_NAME, 1, nchar(FILE_NAME) - 4))
dwnl_info = download_table[w_dwnl,]
if(dir.exists(paste(data_output_dir,STATION_NAME,"/", sep = ""))){ # create subfolder to store data organized by station name
if(dir.exists(paste(data_output_dir,STATION_NAME,"/Total/", sep = ""))){
output_dir_data_new = paste(data_output_dir,STATION_NAME,"/Total/", sep = "")
output_dir_raw_new = paste(data_output_dir,STATION_NAME,"/Raw/", sep = "")
}else{
dir.create(paste(data_output_dir,STATION_NAME,"/Reports/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Raw/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Total/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Processed/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Pics/", sep = ""))
output_dir_data_new = paste(data_output_dir,STATION_NAME,"/Total/", sep = "")
output_dir_raw_new = paste(data_output_dir,STATION_NAME,"/Raw/", sep = "")
}
}else{
dir.create(paste(data_output_dir,STATION_NAME,"/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Reports/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Raw/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Total/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Processed/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Pics/", sep = ""))
output_dir_data_new = paste(data_output_dir,STATION_NAME,"/Total/", sep = "")
output_dir_raw_new = paste(data_output_dir,STATION_NAME,"/Raw/", sep = "")
}
if(dir.exists(paste(database_file_dir,STATION_NAME,"/", sep = ""))){ # create subfolder to store mini files for database organized by station name
if(dir.exists(paste(database_file_dir,STATION_NAME,"/Data/", sep = ""))){
database_file_dir_new = paste(database_file_dir,STATION_NAME,"/Data/", sep = "")
}else{
dir.create(paste(database_file_dir,STATION_NAME,"/Data/", sep = ""))
dir.create(paste(database_file_dir,STATION_NAME,"/Pics/", sep = ""))
database_file_dir_new = paste(database_file_dir,STATION_NAME,"/Data/", sep = "")
}
}else{
dir.create(paste(database_file_dir,STATION_NAME,"/", sep = ""))
dir.create(paste(database_file_dir,STATION_NAME,"/Data/", sep = ""))
dir.create(paste(database_file_dir,STATION_NAME,"/Pics/", sep = ""))
database_file_dir_new = paste(database_file_dir,STATION_NAME,"/Data/", sep = "")
}
if(dir.exists(paste(warning_file_dir,STATION_NAME,"/", sep = ""))){ # create subfolder to store WARNINGS files
warning_file_dir_station = paste(warning_file_dir,STATION_NAME,"/", sep = "")
}else{
dir.create(paste(warning_file_dir,STATION_NAME,"/", sep = ""))
warning_file_dir_station = paste(warning_file_dir,STATION_NAME,"/", sep = "")
}
if(dwnl_info$Stop_DQC == 0){
date_last_modif_file = as.character(format(file.mtime(paste(input_dir,FILE_NAME,sep = "")),format = datetime_format))
if(date_last_modif_file != dwnl_info$Last_Modification | is.na(dwnl_info$Last_Modification)){
input_dir = input_dir
output_dir_data = output_dir_data_new
output_dir_raw = output_dir_raw_new
output_dir_report = report_output_dir
project_dir = project_dir
data_from_row = data_from_row
header_row_number = header_row_number
datetime_header = datetime_header
datetime_format = datetime_format
datetime_sampling = datetime_sampling
record_header = record_header
range_file = range_file
write_output_files = write_output_files
write_output_report = write_output_report
database_dir = database_file_dir_new
file_name = FILE_NAME
station_name = STATION_NAME
start_date = dwnl_info$Last_date
logger_info_file = logger_info_file
record_check = dwnl_info$record_check
# issue_flags_file = paste(issue_flags_dir,"/",STATION_NAME,".csv",sep = "")
# output_file_report = paste("DQC_Report_",STATION_NAME,"_tmp.html",sep = "")
# rm(dwnl_info)
DQC_results = DQC_function(input_dir,
output_dir_data,
output_dir_report,
project_dir,
data_from_row,
header_row_number,
datetime_header,
datetime_format,
datetime_sampling,
record_header,
range_file,
write_output_files,
write_output_report,
file_name,
station_name,
start_date,
database_dir,
logger_info_file,
record_check,
output_dir_raw)
# rmarkdown::render(input = Rmd_report_generator ,
# output_file = output_file_report,
# output_dir = output_dir_report,
# params = list(input_dir = input_dir ,
# output_dir_data = output_dir_data ,
# output_dir_raw = output_dir_raw,
# output_dir_report = output_dir_report ,
# project_dir = project_dir ,
# data_from_row = data_from_row ,
# header_row_number = header_row_number ,
# datetime_header = datetime_header ,
# datetime_format = datetime_format ,
# datetime_sampling = datetime_sampling ,
# record_header = record_header ,
# range_file = range_file ,
# write_output_files = write_output_files ,
# write_output_report = write_output_report ,
# database_dir = database_dir,
# file_name = file_name ,
# station_name = station_name,
# start_date = start_date,
# logger_info_file = logger_info_file,
# record_check = record_check))
#
mydata = DQC_results[[1]]
flags_df = DQC_results[[2]]
file_names = DQC_results[[3]]
errors = DQC_results[[4]]
mylist <- split(flags_df$value, seq(nrow(flags_df)))
names(mylist) = flags_df$flag_names
if(mylist$flag_empty == 0 & mylist$flag_logger_number == 0 & mylist$flag_error_df == 0 & mylist$flag_date == 0){
out_filename_date = paste(substring(mydata[nrow(mydata),which(colnames(mydata) == datetime_header)],1,4),
substring(mydata[nrow(mydata),which(colnames(mydata) == datetime_header)],6,7),
substring(mydata[nrow(mydata),which(colnames(mydata) == datetime_header)],9,10),
# "_",
substring(mydata[nrow(mydata),which(colnames(mydata) == datetime_header)],12,13),
substring(mydata[nrow(mydata),which(colnames(mydata) == datetime_header)],15,16),
sep = "")
last_date = mydata[nrow(mydata),which(colnames(mydata)== datetime_header)]
} else {
out_filename_date = "no_datetime"
}
# ~ ~ ~ ~ Issue Management (on/off message) ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~
# date_DQC = as.POSIXct(format(Sys.time(),format = "%Y-%m-%d %H:%M"), tz = 'Etc/GMT-1')
status = unlist(lapply(errors,function(x) x[[1]]))
data_errors = lapply(errors,function(x) x[[2]])
w_yes = which(status == "Y")
critical_errors = c("err_empty","err_logger_number","err_structure","err_date_issue","err_overlap","err_missing_record","err_restart_record")
warning_errors = c("err_date_missing","err_range_alert")
if(any(status[c(critical_errors,warning_errors)] == "Y")){
dqc_date = date_DQC
station_name = STATION_NAME
errors_list_critical = errors[critical_errors]
errors_list_warning = errors[warning_errors]
dqc_date_write = paste(format(dqc_date,"%Y"),format(dqc_date,"%m"),format(dqc_date,"%d"),format(dqc_date,"%H"),format(dqc_date,"%M"),sep = "")
if(any(status[critical_errors] == "Y")){
error_write = substring(critical_errors[which(status[critical_errors] == "Y")],5,nchar(critical_errors[which(status[critical_errors] == "Y")])) # Possibile solo stringa: --> non funziona se piu errori! (possibile missing/restart in contemporanea)
}
if(any(status[warning_errors] == "Y")){
err_vect = substring(warning_errors[which(status[warning_errors] == "Y")],5,nchar(warning_errors[which(status[warning_errors] == "Y")]))
if(length(err_vect) > 1){
error_write = paste(err_vect,collapse = "+")
}else{
error_write = err_vect
}
}
output_file_report = paste(STATION_NAME,"_",dqc_date_write,"_",error_write,".html",sep = "")
input = warning_report_RMD
output_file= output_file_report
output_dir= warning_file_dir_station
params_list = list(dqc_date,
station_name,
errors_list_critical,
errors_list_warning)
names(params_list) = c("dqc_date","station_name","errors_list_critical","errors_list_warning")
rmarkdown::render(input = input,
output_file = output_file,
output_dir = output_dir,
params = params_list)
if(any(status[critical_errors] == "Y")){
icinga_station = STATION_NAME
icinga_status = 2
icinga_text = paste(output_dir,output_file,sep = "")
}else{
if(any(status[warning_errors] == "Y")){
icinga_station = STATION_NAME
icinga_status = 1
icinga_text = paste(output_dir,output_file,sep = "")
}
}
}else{
icinga_station = STATION_NAME
icinga_status = 0
icinga_text = "OK"
}
# date_DQC = as.POSIXct(Sys.time(),tz = "Ect/GMT-1")
# date_to_print = paste(format(date_DQC,format = "%Y"),format(date_DQC,format = "%m"),format(date_DQC,format = "%d"),
# format(date_DQC,format = "%H"),format(date_DQC,format = "%M"),sep = "")
#
# status = unlist(lapply(errors,function(x) x[[1]]))
# data_errors = lapply(errors,function(x) x[[2]])
# # which(status == "Y")
#
# if(is.na(issue_file$Date_error[which(issue_file$Errors == names(status)[which(status == "Y")])])){
# issue_file$Date_error[which(issue_file$Errors == names(status)[which(status == "Y")])] = format(date_DQC,format = "%Y-%m-%d %H:%M")
#
# error_data = data_errors[[which(status == "Y")]]
#
# error_file = paste(issue_counter_dir,"errors_data/error_",STATION_NAME,"_",date_to_print,".rds",sep = "")
# saveRDS(error_data,error_file)
# }
#
# if(names(status)[[which(status == "Y")]] == "err_range_alert"){
# error_data = data_errors[[which(status == "Y")]]
#
# }
# # ~ ~ ~ ~ xxxxxxxxxxxxx ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~
# non serve?
# Verificare che si puo togliere da qui:
# out_filename_report = paste("DQC_Report_",STATION_NAME,"_",out_filename_date,".html",sep = "")
#
# if(file.exists(paste(output_dir_report,out_filename_report,sep = ""))){
#
# j=0
# repeat{
# j=j+1
# out_filename_report_new = paste(substring(out_filename_report,1, nchar(out_filename_report)-5),"_vers",j,".html",sep = "")
# if(!file.exists(paste(output_dir_report,out_filename_report_new,sep = ""))){
# break
# }
# }
# } else {
# out_filename_report_new = out_filename_report
# }
#
# out_filename_report = out_filename_report_new
#
# if(write_output_report == TRUE){
# output_file_report = file.rename(from = paste(output_dir_report,output_file_report,sep = ""),
# to = paste(output_dir_report,out_filename_report,sep = ""))
# }else{
# file.remove(paste(output_dir_report,output_file_report,sep = ""))
# }
# a qui!
# Report su script esterno! Nella funzione DQC_Function prevedere il salvataggio e l' append degli errori!
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~
if(!is.na(mylist$flag_missing_dates)){
if(mylist$flag_logger_number == 0){
if(mylist$flag_new_overlap == 1){
if(write_output_report == TRUE){
final_info = c(STATION_NAME, "Analyzed and write output",
flags_df$value,
paste(output_dir_report,out_filename_report,sep = ""),
NA,
NA)
}else{
final_info = c(STATION_NAME, "Analyzed and write output",
flags_df$value,
NA,
NA,
NA)
}
}else{
download_table$Last_date[w_dwnl] = last_date
download_table$Last_Modification[w_dwnl] = date_last_modif_file
# if(download_table$record_check[w_dwnl] == 0){
# download_table$record_check[w_dwnl] = 1
# }
download_table$record_check[w_dwnl] = 1 # NEW! Record check activated every time!
write.csv(download_table,paste(download_table_dir,"download_table.csv",sep = ""),quote = F,row.names = F)
if(write_output_report == TRUE){
final_info = c(STATION_NAME, "Analyzed and write output",
flags_df$value,
paste(output_dir_report,out_filename_report,sep = ""),
paste(output_dir_data,sep = ""),
paste(file_names[length(file_names)],sep = ""))
}else{
final_info = c(STATION_NAME, "Analyzed and write output",
flags_df$value,
NA,
paste(output_dir_data_new,sep = ""),
paste(file_names[length(file_names)],sep = ""))
}
}
}
}else{
# file_stopped = c(file_stopped, FILE)
if(write_output_report == TRUE){
final_info = c(STATION_NAME, "Analyzed with errors",
flags_df$value,
paste(output_dir_report,out_filename_report,sep = ""),
NA, NA )
}else{
final_info = c(STATION_NAME, "Analyzed with errors",
flags_df$value,
NA,
NA, NA )
}
}
# reset counter if file is updated
# w_1 = which(issue_counter$Station == substring(FILE_NAME, 1,nchar(FILE_NAME)-4))
# issue_counter$W_Update_station[w_1] = 0
# write.csv(issue_counter, paste(issue_counter_dir,"issue_counter.csv",sep = ""),quote = F,row.names = F)
} else {
# ~~~~~~~
# update counter if file is not update
#
# w_1 = which(issue_counter$Station == substring(FILE_NAME, 1,nchar(FILE_NAME)-4))
# issue_counter$W_Update_station[w_1] = issue_counter$W_Update_station[w_1]+1
# write.csv(issue_counter, paste(issue_counter_dir,"issue_counter.csv",sep = ""),quote = F,row.names = F)
#
# # send message
# if(issue_counter$W_Update_station[w_1] %% MESSAGE_EVERY_TIMES == 0){
# text_W_Update_station = paste(FILE_NAME, "not updated since",dwnl_info$Last_Modification)
# warning(text_W_Update_station)
# }
#
# ~~~~~~~
warning(paste(STATION_NAME, "already analyzed!"))
# file_already_processed = c(file_already_processed,FILE)
final_info = c(STATION_NAME, "Already analyzed",
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA,
NA, NA)
output_dir_report = report_output_dir
}
}else{
final_info = c(STATION_NAME, "Not analyzed",
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA,
NA, NA)
output_dir_report = report_output_dir
}
# final_dataframe = rbind(final_dataframe,final_info)
final_dataframe[t,] = final_info
loggernet_status = rbind(loggernet_status,final_dataframe[,1:2])
gc(reset = T)
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# INSERIRE QUI CHE ERRORE DARE AD ICINGA
# if(exists(text_W_Update_station))
# text_W_Update_station
# text_W_Empty_file
# text_W_Logger_number
# text_W_structure
# text_W_date_issue
# text_W_overlap
# text_W_missing_records
# text_W_restart_records
# text_W_date_missing
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
}
# issue_counter_proj = issue_counter[issue_counter$Project == PROJECT,]
# aaa = as.data.frame(final_dataframe)
#
#
#
# if(PROJECT == "MONALISA"){
# FILE_NAME_recon = paste("MONALISA_",aaa$Station, "_MeteoVal",sep = "")
# }else{
# if(PROJECT == "LTER"){
# FILE_NAME_recon = paste("LTER_",aaa$Station, "_",aaa$Station,sep = "")
# }
# }
# aaa = cbind(FILE_NAME_recon, aaa)
# colnames(aaa)[1] = "file_name_recon"
#
#
# already_analyzed = aaa$file_name_recon[which(aaa$Status == "Already analyzed")]
#
# which(issue_counter$Station %in% already_analyzed & issue_counter$Project %in% PROJECT)
# which(!(issue_counter$Station %in% already_analyzed) & issue_counter$Project %in% PROJECT)
#
# issue_counter$W_Update_station[which(issue_counter$Station %in% already_analyzed & issue_counter$Project %in% PROJECT)] = issue_counter$Already_analyzed_ALERT[which(issue_counter$Station %in% already_analyzed & issue_counter$Project %in% PROJECT)] +1
# issue_counter$Already_analyzed_ALERT[ which(!(issue_counter$Station %in% already_analyzed) & issue_counter$Project %in% PROJECT)] = 0
# write.csv(issue_counter, paste(issue_counter_dir,"issue_counter.csv",sep = ""),quote = F,row.names = F)
#
# SET_HOURS = 12 ##### Check how to do an alert every X hours! Now the script send an alert every hour when issue_counter > SET_HOURS !
#
# if(any( issue_counter$Already_analyzed_ALERT >= SET_HOURS)){
# file_to_write = issue_counter$Station[which(issue_counter$Already_analyzed_ALERT >= SET_HOURS)]
# hour_to_write = issue_counter$Already_analyzed_ALERT[which(issue_counter$Already_analyzed_ALERT >= SET_HOURS)]
#
# text_to_write = paste(file_to_write,".dat --> Last download: ",hour_to_write, "hours ago", sep = "")
# body = cat("The following files .dat were not update for much than X hours.", text_to_write, sep = "\n")
#
# # send.mail(from = "data.quality.check@gmail.com",
# # to = c("Christia.Brida@eurac.edu"),
# # subject = paste("DQC: test1: file dati non aggiornati"),
# # body = body,
# # smtp = list(host.name = "smtp.gmail.com", port = 465, user.name = "data.quality.check", passwd = "alpenv78", ssl = TRUE),
# # authenticate = TRUE,
# # send = TRUE)
# }
# ..... Final Report .....................................................................................................................................
# input_final = paste(project_dir,"Rmd/DQC_Final_Report_Hourly_2.Rmd",sep = "")
# output_file_final = paste("DQC_Report_",substring(report_start,1,4),
# substring(report_start,6,7),
# substring(report_start,9,10),
# substring(report_start,12,13),
# substring(report_start,15,16),".html", sep = "")
# output_dir_final = output_dir_report
#
# rmarkdown::render(input = input_final,
# output_file = output_file_final ,
# output_dir = output_dir_final,
# params = list(report_start = report_start ,
# final_dataframe = final_dataframe))
# ..... Data preparation for Database .....................................................................................................................................
print("--------------------------------------------------------------------------------------------------")
}
df_loggernet_status =as.data.frame(loggernet_status)
if(all(df_loggernet_status$Status== "Already analyzed")){
icinga_station = "Loggernet"
icinga_status = 3 #???????? controllare livelli icinga
icinga_text = "Loggernet doesn't download any station!"
}else{
icinga_station = "Loggernet"
icinga_status = 0
icinga_text = "OK"
}
# check if loggernet stopped to dowload data --> all stations not updated
# text_W_loggernet_locked = check_loggernet_status(issue_counter_dir, issue_counter, input_dir, MESSAGE_EVERY_TIMES = 3)
#
# if(!is.null(text_W_loggernet_locked)){
# warning(text_W_loggernet_locked)
# }
# file.remove(paste(DQC_setting_dir,"lock_DQC.lock",sep = ""))
bridachristian/DataQualityCheckEuracAlpEnv documentation built on Oct. 27, 2019, 5:55 p.m.
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#-------------------------------------------------------------------------------------------------------------------------------------------------------
# File Title: DQC_Multi_Files.R
# TITLE: Data quality check LTER on different files in scheduling folder
# Author: Brida Christian, Genova Giulio, Zandonai Alessandro
# Institute for Alpine Environment
# Data: 13/02/2018
# Version: 2.0
#
#------------------------------------------------------------------------------------------------------------------------------------------------------
rm(list = ls(all.names = TRUE))
print("--------------------------------------------------------------------------------------------------")
print(paste("Data Quality Check:",Sys.time()))
# ..... Libraries .....................................................................................................................................
# library(devtools,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# install_github("bridachristian/DataQualityCheckEuracAlpEnv")
# library("DataQualityCheckEuracAlpEnv")
# install_github("alexsanjoseph/compareDF")
# library(compareDF)
#
# library(zoo,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(knitr,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(ggplot2,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(reshape2,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(DT,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(htmltools,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(rmarkdown,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(yaml,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
# library(highr,lib.loc = '/home/cbrida/Libraries_DataQualityCheckEuracAlpEnv/')
library(devtools)
install_github("bridachristian/DataQualityCheckEuracAlpEnv")
library("DataQualityCheckEuracAlpEnv")
install_github("alexsanjoseph/compareDF")
library(compareDF)
library(zoo)
library(knitr)
library(ggplot2)
library(reshape2)
library(DT)
library(htmltools)
library(rmarkdown)
library(yaml)
library(highr)
# Sys.setenv(RSTUDIO_PANDOC = "/usr/lib/rstudio/bin/pandoc/")
# .....................................................................................................................................................
# ..... Params section .....................................................................................................................................
# main_dir = "/shared/test_christian/"
main_dir = "H:/Projekte/LTER/03_Arbeitsbereiche/BriCh/shared/test_christian/"
project_type = c("LTER","MONALISA")
PROJECT = "LTER" # Possible project: "LTER"; "MONALISA";
input_dir <- paste(main_dir,"/Stations_Data/Data/LoggerNet_Raw_Data/Data/",sep = "") # where input files are
# input_dir <- paste("/shared","/Stations_Data/Data/LoggerNet_Raw_Data/Data/",sep = "") # where input files are
# project_dir <- "/home/cbrida/DataQualityCheckEuracAlpEnv/" # where package is developed or cloned from github
project_dir <- "C:/Users/CBrida/Desktop/myDQC/DataQualityCheckEuracAlpEnv/" # where package is developed or cloned from github
DQC_setting_dir <- paste(main_dir,"/Stations_Data/DQC/",sep = "")
logger_info_file <- paste(DQC_setting_dir,"/Process/Logger_number_and_software.csv", sep = "")
range_dir <- paste(DQC_setting_dir,"/Process/", sep = "")
download_table_dir <- paste(DQC_setting_dir,"/Process/", sep = "")
warning_report_RMD = paste(project_dir,"/Rmd/DQC_Warning_Reports.Rmd",sep = "")
# !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! TO REMOVE !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
# issue_counter_dir <- paste(DQC_setting_dir,"/Process/", sep = "")#
# issue_flags_dir <- paste(DQC_setting_dir,"/Process/issue_flags", sep = "")
# MESSAGE_EVERY_TIMES = 24
# !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
date_DQC = as.POSIXct(format(Sys.time(),format = "%Y-%m-%d %H:%M"), tz = 'Etc/GMT-1')
loggernet_status = c()
# file.create(paste(DQC_setting_dir,"lock_DQC.lock",sep = ""))
for(PROJECT in project_type){
data_output_dir <- paste(main_dir,"/Stations_Data/Data/DQC_Processed_Data/",PROJECT,"/Stations/",sep = "") # where to put output files
report_output_dir <- paste(main_dir,"/Stations_Data/Data/DQC_Processed_Data/",PROJECT,"/DQC_Reports/",sep = "") # where to put output reports
database_file_dir <- paste(main_dir,"/Stations_Data/Data/DQC_DB/",PROJECT,"/", sep = "") # where to put output files (MODIFIED FOR DATABASE TESTING) -----> "Permission denied"
warning_file_dir <- paste(main_dir,"/Stations_Data/Data/DQC_Warnings/",PROJECT,"/", sep = "") # where to put warnings html files
data_from_row = 5 # <-- Row number of first data
header_row_number = 2 # <-- Row number of header
datetime_header = "TIMESTAMP" # <-- header corresponding to TIMESTAMP
datetime_format = "%Y-%m-%d %H:%M" # <-- datetime format. Use only: Y -> year, m -> month, d -> day, H -> hour, M -> minute
datetime_sampling = "15 min"
record_header = "RECORD"
range_file = "Range_v2.csv"
write_output_files = "TRUE"
write_output_report = "FALSE"
# file <- "M4s.dat"
# start_date <- NA
# ~~~ Default directory ~~~~
# !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! TO REMOVE !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
#
# if(write_output_report == TRUE){
# Rmd_report_generator <- paste(project_dir, "Rmd/DQC_Report_Generator.Rmd",sep = "")
# }else{
# Rmd_report_generator <- paste(project_dir, "Rmd/DQC_Calculator_2.Rmd",sep = "")
# }
#
# !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
# ..........................................................................................................................................................
# ..... files selection .....................................................................................................................................
files_available_raw = dir(input_dir,pattern = ".dat") # <-- Admitted pattern: ".dat" or ".csv"
files_available_raw = files_available_raw[!grepl(pattern = "backup",x = files_available_raw)] # REMOVE FILES WITH WRONG NAMES (.dat.backup not admitted)
# if(PROJECT != "MONALISA"){
# files_available_raw = files_available_raw[!grepl(pattern = "IP",x = files_available_raw)] # <- for MONALISA IP in name is admitted
# }
files_available = files_available_raw[grepl(pattern = paste("^",PROJECT,sep = ""),x = files_available_raw)]
files_no_project = substring(files_available, nchar(PROJECT)+2, nchar(files_available)-4)
if(length(files_no_project) > 0){
u1 =c()
logg_data_NAME = c()
table_data_NAME = c()
for(h in 1:length(files_no_project)){
u1[h] = gregexpr(files_no_project,pattern = "_")[[h]][1] # <- here we find the sencond "[[1]][2]" underscore!!!!!
logg_data_NAME[h] = substring(text = files_no_project[h],first = 1,last = u1[h]-1)
table_data_NAME[h] = substring(text = files_no_project[h],first = u1[h]+1,last = nchar(files_no_project[h]))
}
df_files = data.frame(files_available, logg_data_NAME, table_data_NAME)
colnames(df_files) = c("Files", "LoggerNet_name", "Datatable_name")
# if(PROJECT == "LTER"){ # <--Filter files based on Project (diffent if is MONALISA or LTER)
# files_available = df_files$Files[which(df_files$LoggerNet_name == df_files$Datatable_name)]
# }
#
# if(PROJECT == "MONALISA"){ # <--Filter files based on Project (diffent if is MONALISA or LTER)
# # files_available = df_files$Files
# files_available = df_files$Files[which(df_files$Datatable_name == "MeteoVal")]
#
# }
} else{
files_available = files_no_project
}
# ..........................................................................................................................................................
# ..... download table section .....................................................................................................................................
download_table = read_and_update_download_table(DOWNLOAD_TABLE_DIR = download_table_dir, FILES_AVAILABLE = files_available, DATETIME_FORMAT = datetime_format, PROJECT = PROJECT)
# issue_counter = read_and_update_issue_counter(ISSUE_COUNTER_DIR = issue_counter_dir, FILES_AVAILABLE = files_available, DATETIME_FORMAT = datetime_format, PROJECT = PROJECT)
download_table_proj = download_table$Station[which(download_table$Project == PROJECT)]
# issue_counter_proj = issue_counter$Station[which(issue_counter$Project == PROJECT)]
files_available_project = files_available[which(substring(files_available,1, nchar(files_available)-4) %in% download_table_proj)]
# ~ ~ ~ temporary solution to avoid issue with Vimes1500 station ---> remove this if when data file will fix! ~ ~ ~
if("MONALISA_Vimes1500_Vimes1500.dat" %in% files_available_project){
files_available_project = files_available_project[-which(files_available_project == "MONALISA_Vimes1500_Vimes1500.dat")]
}
# ~ ~ ~ ~ ~ ~
############################################
final_dataframe = matrix(ncol = 20, nrow = length(files_available_project))
colnames(final_dataframe) = c("Station", "Status",
"flag_empty","flag_logger_number", "flag_error_df","flag_date",
"flag_duplicates_rows","flag_overlap","flag_missing_records","flag_missing_dates",
"flag_range_variable_to_set","flag_range_variable_new","flag_out_of_range",
"flag_new_duplicates_rows","flag_new_overlap","flag_new_missing_dates", "flag_missing_records_new",
"Report_link", "Data_folder", "File_name")
report_start = Sys.time()
t = 1
for(t in 1: length(files_available_project)){
gc(reset = T)
rm(list = setdiff(ls(all.names = TRUE),c("date_DQC","main_dir","PROJECT","DQC_setting_dir","t","data_from_row","datetime_format","datetime_header","datetime_sampling","loggernet_status",
"download_table","download_table_dir","issue_counter", "issue_counter_dir","issue_counter_proj",
"files_available","files_available_project","header_row_number","input_dir","data_output_dir","output_dir_raw","report_output_dir","project_dir",
"range_dir","range_file","record_header","Rmd_report_generator","write_output_files","write_output_report","flag_names",
"report_start", "final_dataframe","output_dir_report", "database_file_dir","logger_info_file","MESSAGE_EVERY_TIMES","issue_flags_dir","warning_file_dir","warning_report_RMD")))
FILE_NAME = files_available_project[t]
u1 = gregexpr(FILE_NAME,pattern = "_")[[1]][1] # <- here we find the first "[[1]][1]" underscore!!!!!
u2 = gregexpr(FILE_NAME,pattern = "_")[[1]][2] # <- here we find the second "[[1]][2]" underscore!!!!!
# if(PROJECT == "MONALISA"){
# STATION_NAME = substring(FILE_NAME,u1+1, u1+9)
# }else{
# STATION_NAME = substring(FILE_NAME,u1+1, u2-1)
# }
STATION_NAME = substring(FILE_NAME,u1+1, u2-1)
w_dwnl = which(download_table$Station == substring(FILE_NAME, 1, nchar(FILE_NAME) - 4))
dwnl_info = download_table[w_dwnl,]
if(dir.exists(paste(data_output_dir,STATION_NAME,"/", sep = ""))){ # create subfolder to store data organized by station name
if(dir.exists(paste(data_output_dir,STATION_NAME,"/Total/", sep = ""))){
output_dir_data_new = paste(data_output_dir,STATION_NAME,"/Total/", sep = "")
output_dir_raw_new = paste(data_output_dir,STATION_NAME,"/Raw/", sep = "")
}else{
dir.create(paste(data_output_dir,STATION_NAME,"/Reports/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Raw/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Total/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Processed/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Pics/", sep = ""))
output_dir_data_new = paste(data_output_dir,STATION_NAME,"/Total/", sep = "")
output_dir_raw_new = paste(data_output_dir,STATION_NAME,"/Raw/", sep = "")
}
}else{
dir.create(paste(data_output_dir,STATION_NAME,"/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Reports/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Raw/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Total/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Processed/", sep = ""))
dir.create(paste(data_output_dir,STATION_NAME,"/Pics/", sep = ""))
output_dir_data_new = paste(data_output_dir,STATION_NAME,"/Total/", sep = "")
output_dir_raw_new = paste(data_output_dir,STATION_NAME,"/Raw/", sep = "")
}
if(dir.exists(paste(database_file_dir,STATION_NAME,"/", sep = ""))){ # create subfolder to store mini files for database organized by station name
if(dir.exists(paste(database_file_dir,STATION_NAME,"/Data/", sep = ""))){
database_file_dir_new = paste(database_file_dir,STATION_NAME,"/Data/", sep = "")
}else{
dir.create(paste(database_file_dir,STATION_NAME,"/Data/", sep = ""))
dir.create(paste(database_file_dir,STATION_NAME,"/Pics/", sep = ""))
database_file_dir_new = paste(database_file_dir,STATION_NAME,"/Data/", sep = "")
}
}else{
dir.create(paste(database_file_dir,STATION_NAME,"/", sep = ""))
dir.create(paste(database_file_dir,STATION_NAME,"/Data/", sep = ""))
dir.create(paste(database_file_dir,STATION_NAME,"/Pics/", sep = ""))
database_file_dir_new = paste(database_file_dir,STATION_NAME,"/Data/", sep = "")
}
if(dir.exists(paste(warning_file_dir,STATION_NAME,"/", sep = ""))){ # create subfolder to store WARNINGS files
warning_file_dir_station = paste(warning_file_dir,STATION_NAME,"/", sep = "")
}else{
dir.create(paste(warning_file_dir,STATION_NAME,"/", sep = ""))
warning_file_dir_station = paste(warning_file_dir,STATION_NAME,"/", sep = "")
}
if(dwnl_info$Stop_DQC == 0){
date_last_modif_file = as.character(format(file.mtime(paste(input_dir,FILE_NAME,sep = "")),format = datetime_format))
if(date_last_modif_file != dwnl_info$Last_Modification | is.na(dwnl_info$Last_Modification)){
input_dir = input_dir
output_dir_data = output_dir_data_new
output_dir_raw = output_dir_raw_new
output_dir_report = report_output_dir
project_dir = project_dir
data_from_row = data_from_row
header_row_number = header_row_number
datetime_header = datetime_header
datetime_format = datetime_format
datetime_sampling = datetime_sampling
record_header = record_header
range_file = range_file
write_output_files = write_output_files
write_output_report = write_output_report
database_dir = database_file_dir_new
file_name = FILE_NAME
station_name = STATION_NAME
start_date = dwnl_info$Last_date
logger_info_file = logger_info_file
record_check = dwnl_info$record_check
# issue_flags_file = paste(issue_flags_dir,"/",STATION_NAME,".csv",sep = "")
# output_file_report = paste("DQC_Report_",STATION_NAME,"_tmp.html",sep = "")
# rm(dwnl_info)
DQC_results = DQC_function(input_dir,
output_dir_data,
output_dir_report,
project_dir,
data_from_row,
header_row_number,
datetime_header,
datetime_format,
datetime_sampling,
record_header,
range_file,
write_output_files,
write_output_report,
file_name,
station_name,
start_date,
database_dir,
logger_info_file,
record_check,
output_dir_raw)
# rmarkdown::render(input = Rmd_report_generator ,
# output_file = output_file_report,
# output_dir = output_dir_report,
# params = list(input_dir = input_dir ,
# output_dir_data = output_dir_data ,
# output_dir_raw = output_dir_raw,
# output_dir_report = output_dir_report ,
# project_dir = project_dir ,
# data_from_row = data_from_row ,
# header_row_number = header_row_number ,
# datetime_header = datetime_header ,
# datetime_format = datetime_format ,
# datetime_sampling = datetime_sampling ,
# record_header = record_header ,
# range_file = range_file ,
# write_output_files = write_output_files ,
# write_output_report = write_output_report ,
# database_dir = database_dir,
# file_name = file_name ,
# station_name = station_name,
# start_date = start_date,
# logger_info_file = logger_info_file,
# record_check = record_check))
#
mydata = DQC_results[[1]]
flags_df = DQC_results[[2]]
file_names = DQC_results[[3]]
errors = DQC_results[[4]]
mylist <- split(flags_df$value, seq(nrow(flags_df)))
names(mylist) = flags_df$flag_names
if(mylist$flag_empty == 0 & mylist$flag_logger_number == 0 & mylist$flag_error_df == 0 & mylist$flag_date == 0){
out_filename_date = paste(substring(mydata[nrow(mydata),which(colnames(mydata) == datetime_header)],1,4),
substring(mydata[nrow(mydata),which(colnames(mydata) == datetime_header)],6,7),
substring(mydata[nrow(mydata),which(colnames(mydata) == datetime_header)],9,10),
# "_",
substring(mydata[nrow(mydata),which(colnames(mydata) == datetime_header)],12,13),
substring(mydata[nrow(mydata),which(colnames(mydata) == datetime_header)],15,16),
sep = "")
last_date = mydata[nrow(mydata),which(colnames(mydata)== datetime_header)]
} else {
out_filename_date = "no_datetime"
}
# ~ ~ ~ ~ Issue Management (on/off message) ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~
# date_DQC = as.POSIXct(format(Sys.time(),format = "%Y-%m-%d %H:%M"), tz = 'Etc/GMT-1')
status = unlist(lapply(errors,function(x) x[[1]]))
data_errors = lapply(errors,function(x) x[[2]])
w_yes = which(status == "Y")
critical_errors = c("err_empty","err_logger_number","err_structure","err_date_issue","err_overlap","err_missing_record","err_restart_record")
warning_errors = c("err_date_missing","err_range_alert")
if(any(status[c(critical_errors,warning_errors)] == "Y")){
dqc_date = date_DQC
station_name = STATION_NAME
errors_list_critical = errors[critical_errors]
errors_list_warning = errors[warning_errors]
dqc_date_write = paste(format(dqc_date,"%Y"),format(dqc_date,"%m"),format(dqc_date,"%d"),format(dqc_date,"%H"),format(dqc_date,"%M"),sep = "")
if(any(status[critical_errors] == "Y")){
error_write = substring(critical_errors[which(status[critical_errors] == "Y")],5,nchar(critical_errors[which(status[critical_errors] == "Y")])) # Possibile solo stringa: --> non funziona se piu errori! (possibile missing/restart in contemporanea)
}
if(any(status[warning_errors] == "Y")){
err_vect = substring(warning_errors[which(status[warning_errors] == "Y")],5,nchar(warning_errors[which(status[warning_errors] == "Y")]))
if(length(err_vect) > 1){
error_write = paste(err_vect,collapse = "+")
}else{
error_write = err_vect
}
}
output_file_report = paste(STATION_NAME,"_",dqc_date_write,"_",error_write,".html",sep = "")
input = warning_report_RMD
output_file= output_file_report
output_dir= warning_file_dir_station
params_list = list(dqc_date,
station_name,
errors_list_critical,
errors_list_warning)
names(params_list) = c("dqc_date","station_name","errors_list_critical","errors_list_warning")
rmarkdown::render(input = input,
output_file = output_file,
output_dir = output_dir,
params = params_list)
if(any(status[critical_errors] == "Y")){
icinga_station = STATION_NAME
icinga_status = 2
icinga_text = paste(output_dir,output_file,sep = "")
}else{
if(any(status[warning_errors] == "Y")){
icinga_station = STATION_NAME
icinga_status = 1
icinga_text = paste(output_dir,output_file,sep = "")
}
}
}else{
icinga_station = STATION_NAME
icinga_status = 0
icinga_text = "OK"
}
# date_DQC = as.POSIXct(Sys.time(),tz = "Ect/GMT-1")
# date_to_print = paste(format(date_DQC,format = "%Y"),format(date_DQC,format = "%m"),format(date_DQC,format = "%d"),
# format(date_DQC,format = "%H"),format(date_DQC,format = "%M"),sep = "")
#
# status = unlist(lapply(errors,function(x) x[[1]]))
# data_errors = lapply(errors,function(x) x[[2]])
# # which(status == "Y")
#
# if(is.na(issue_file$Date_error[which(issue_file$Errors == names(status)[which(status == "Y")])])){
# issue_file$Date_error[which(issue_file$Errors == names(status)[which(status == "Y")])] = format(date_DQC,format = "%Y-%m-%d %H:%M")
#
# error_data = data_errors[[which(status == "Y")]]
#
# error_file = paste(issue_counter_dir,"errors_data/error_",STATION_NAME,"_",date_to_print,".rds",sep = "")
# saveRDS(error_data,error_file)
# }
#
# if(names(status)[[which(status == "Y")]] == "err_range_alert"){
# error_data = data_errors[[which(status == "Y")]]
#
# }
# # ~ ~ ~ ~ xxxxxxxxxxxxx ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~
# non serve?
# Verificare che si puo togliere da qui:
# out_filename_report = paste("DQC_Report_",STATION_NAME,"_",out_filename_date,".html",sep = "")
#
# if(file.exists(paste(output_dir_report,out_filename_report,sep = ""))){
#
# j=0
# repeat{
# j=j+1
# out_filename_report_new = paste(substring(out_filename_report,1, nchar(out_filename_report)-5),"_vers",j,".html",sep = "")
# if(!file.exists(paste(output_dir_report,out_filename_report_new,sep = ""))){
# break
# }
# }
# } else {
# out_filename_report_new = out_filename_report
# }
#
# out_filename_report = out_filename_report_new
#
# if(write_output_report == TRUE){
# output_file_report = file.rename(from = paste(output_dir_report,output_file_report,sep = ""),
# to = paste(output_dir_report,out_filename_report,sep = ""))
# }else{
# file.remove(paste(output_dir_report,output_file_report,sep = ""))
# }
# a qui!
# Report su script esterno! Nella funzione DQC_Function prevedere il salvataggio e l' append degli errori!
# ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~
if(!is.na(mylist$flag_missing_dates)){
if(mylist$flag_logger_number == 0){
if(mylist$flag_new_overlap == 1){
if(write_output_report == TRUE){
final_info = c(STATION_NAME, "Analyzed and write output",
flags_df$value,
paste(output_dir_report,out_filename_report,sep = ""),
NA,
NA)
}else{
final_info = c(STATION_NAME, "Analyzed and write output",
flags_df$value,
NA,
NA,
NA)
}
}else{
download_table$Last_date[w_dwnl] = last_date
download_table$Last_Modification[w_dwnl] = date_last_modif_file
# if(download_table$record_check[w_dwnl] == 0){
# download_table$record_check[w_dwnl] = 1
# }
download_table$record_check[w_dwnl] = 1 # NEW! Record check activated every time!
write.csv(download_table,paste(download_table_dir,"download_table.csv",sep = ""),quote = F,row.names = F)
if(write_output_report == TRUE){
final_info = c(STATION_NAME, "Analyzed and write output",
flags_df$value,
paste(output_dir_report,out_filename_report,sep = ""),
paste(output_dir_data,sep = ""),
paste(file_names[length(file_names)],sep = ""))
}else{
final_info = c(STATION_NAME, "Analyzed and write output",
flags_df$value,
NA,
paste(output_dir_data_new,sep = ""),
paste(file_names[length(file_names)],sep = ""))
}
}
}
}else{
# file_stopped = c(file_stopped, FILE)
if(write_output_report == TRUE){
final_info = c(STATION_NAME, "Analyzed with errors",
flags_df$value,
paste(output_dir_report,out_filename_report,sep = ""),
NA, NA )
}else{
final_info = c(STATION_NAME, "Analyzed with errors",
flags_df$value,
NA,
NA, NA )
}
}
# reset counter if file is updated
# w_1 = which(issue_counter$Station == substring(FILE_NAME, 1,nchar(FILE_NAME)-4))
# issue_counter$W_Update_station[w_1] = 0
# write.csv(issue_counter, paste(issue_counter_dir,"issue_counter.csv",sep = ""),quote = F,row.names = F)
} else {
# ~~~~~~~
# update counter if file is not update
#
# w_1 = which(issue_counter$Station == substring(FILE_NAME, 1,nchar(FILE_NAME)-4))
# issue_counter$W_Update_station[w_1] = issue_counter$W_Update_station[w_1]+1
# write.csv(issue_counter, paste(issue_counter_dir,"issue_counter.csv",sep = ""),quote = F,row.names = F)
#
# # send message
# if(issue_counter$W_Update_station[w_1] %% MESSAGE_EVERY_TIMES == 0){
# text_W_Update_station = paste(FILE_NAME, "not updated since",dwnl_info$Last_Modification)
# warning(text_W_Update_station)
# }
#
# ~~~~~~~
warning(paste(STATION_NAME, "already analyzed!"))
# file_already_processed = c(file_already_processed,FILE)
final_info = c(STATION_NAME, "Already analyzed",
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA,
NA, NA)
output_dir_report = report_output_dir
}
}else{
final_info = c(STATION_NAME, "Not analyzed",
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA,
NA, NA)
output_dir_report = report_output_dir
}
# final_dataframe = rbind(final_dataframe,final_info)
final_dataframe[t,] = final_info
loggernet_status = rbind(loggernet_status,final_dataframe[,1:2])
gc(reset = T)
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# INSERIRE QUI CHE ERRORE DARE AD ICINGA
# if(exists(text_W_Update_station))
# text_W_Update_station
# text_W_Empty_file
# text_W_Logger_number
# text_W_structure
# text_W_date_issue
# text_W_overlap
# text_W_missing_records
# text_W_restart_records
# text_W_date_missing
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
}
# issue_counter_proj = issue_counter[issue_counter$Project == PROJECT,]
# aaa = as.data.frame(final_dataframe)
#
#
#
# if(PROJECT == "MONALISA"){
# FILE_NAME_recon = paste("MONALISA_",aaa$Station, "_MeteoVal",sep = "")
# }else{
# if(PROJECT == "LTER"){
# FILE_NAME_recon = paste("LTER_",aaa$Station, "_",aaa$Station,sep = "")
# }
# }
# aaa = cbind(FILE_NAME_recon, aaa)
# colnames(aaa)[1] = "file_name_recon"
#
#
# already_analyzed = aaa$file_name_recon[which(aaa$Status == "Already analyzed")]
#
# which(issue_counter$Station %in% already_analyzed & issue_counter$Project %in% PROJECT)
# which(!(issue_counter$Station %in% already_analyzed) & issue_counter$Project %in% PROJECT)
#
# issue_counter$W_Update_station[which(issue_counter$Station %in% already_analyzed & issue_counter$Project %in% PROJECT)] = issue_counter$Already_analyzed_ALERT[which(issue_counter$Station %in% already_analyzed & issue_counter$Project %in% PROJECT)] +1
# issue_counter$Already_analyzed_ALERT[ which(!(issue_counter$Station %in% already_analyzed) & issue_counter$Project %in% PROJECT)] = 0
# write.csv(issue_counter, paste(issue_counter_dir,"issue_counter.csv",sep = ""),quote = F,row.names = F)
#
# SET_HOURS = 12 ##### Check how to do an alert every X hours! Now the script send an alert every hour when issue_counter > SET_HOURS !
#
# if(any( issue_counter$Already_analyzed_ALERT >= SET_HOURS)){
# file_to_write = issue_counter$Station[which(issue_counter$Already_analyzed_ALERT >= SET_HOURS)]
# hour_to_write = issue_counter$Already_analyzed_ALERT[which(issue_counter$Already_analyzed_ALERT >= SET_HOURS)]
#
# text_to_write = paste(file_to_write,".dat --> Last download: ",hour_to_write, "hours ago", sep = "")
# body = cat("The following files .dat were not update for much than X hours.", text_to_write, sep = "\n")
#
# # send.mail(from = "data.quality.check@gmail.com",
# # to = c("Christia.Brida@eurac.edu"),
# # subject = paste("DQC: test1: file dati non aggiornati"),
# # body = body,
# # smtp = list(host.name = "smtp.gmail.com", port = 465, user.name = "data.quality.check", passwd = "alpenv78", ssl = TRUE),
# # authenticate = TRUE,
# # send = TRUE)
# }
# ..... Final Report .....................................................................................................................................
# input_final = paste(project_dir,"Rmd/DQC_Final_Report_Hourly_2.Rmd",sep = "")
# output_file_final = paste("DQC_Report_",substring(report_start,1,4),
# substring(report_start,6,7),
# substring(report_start,9,10),
# substring(report_start,12,13),
# substring(report_start,15,16),".html", sep = "")
# output_dir_final = output_dir_report
#
# rmarkdown::render(input = input_final,
# output_file = output_file_final ,
# output_dir = output_dir_final,
# params = list(report_start = report_start ,
# final_dataframe = final_dataframe))
# ..... Data preparation for Database .....................................................................................................................................
print("--------------------------------------------------------------------------------------------------")
}
df_loggernet_status =as.data.frame(loggernet_status)
if(all(df_loggernet_status$Status== "Already analyzed")){
icinga_station = "Loggernet"
icinga_status = 3 #???????? controllare livelli icinga
icinga_text = "Loggernet doesn't download any station!"
}else{
icinga_station = "Loggernet"
icinga_status = 0
icinga_text = "OK"
}
# check if loggernet stopped to dowload data --> all stations not updated
# text_W_loggernet_locked = check_loggernet_status(issue_counter_dir, issue_counter, input_dir, MESSAGE_EVERY_TIMES = 3)
#
# if(!is.null(text_W_loggernet_locked)){
# warning(text_W_loggernet_locked)
# }
# file.remove(paste(DQC_setting_dir,"lock_DQC.lock",sep = ""))
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