#!/usr/bin/Rscript   
getwd()
setwd("~/git/mosaic_2020/")
getwd()
########################################################################
# TASK: read data 
########################################################################
# load libraries, packages and local imports
source("Header_TT.R")
########################################################################
maindir = "~/git/mosaic_2020/"
outdir = paste0(maindir, "output/")
ifelse(!dir.exists(outdir), dir.create(outdir), FALSE)

outdir_stats = paste0(maindir, "output/stats/")
ifelse(!dir.exists(outdir_stats), dir.create(outdir_stats), FALSE)

outdir_plots = paste0(maindir, "output/plots")
ifelse(!dir.exists(outdir_plots), dir.create(outdir_plots), FALSE)
########################################################################
# static file read: csv
#==============
# all patients
#==============
all_df <- read.csv("/home/backup/MOSAIC/MEDIATOR_Data/master_file/Mosaic_master_file_from_stata.csv"
                   , fileEncoding = 'latin1') 

# meta data columns                   
meta_data_cols = c("mosaic", "gender", "age", "adult", "flustat", "type"
                   , "obesity", "obese2", "height", "height_unit", "weight"
                   , "weight_unit", "visual_est_bmi", "bmi_rating")

# check if these columns to select are present in the data
meta_data_cols%in%colnames(all_df)
all(meta_data_cols%in%colnames(all_df))

metadata_all = all_df[, meta_data_cols]

#============
# hc
#============
#hc_data<- read.csv("/home/backup/MOSAIC/MEDIATOR_Data/master_file/Mediators_for_HC.csv")
#str(hc_data)
#table(hc_data$Timepoint, hc_data$Sample)
########################################################################
# quick checks on obesity and obese2
aki_flupos = read.csv(paste0(outdir, "aki_flupos.csv"))

obesity_check = as.data.frame(cbind(all_df$mosaic, all_df$age, all_df$adult, all_df$flustat, all_df$obesity, all_df$obese2))
colnames(obesity_check) = c("mosaic", "age", "adult", "flustat", "obesity", "obese2")

obesity_check$adult_check = ifelse(all_df$age>=18 && all_df$adult == 1, "PASS", "FAIL")
table(obesity_check$adult_check)

table(obesity_check$adult)
table(obesity_check$adult, obesity_check$flustat)

ob_adults = obesity_check[obesity_check$adult == 1,]
ob_adults2 = obesity_check[obesity_check$adult == 1 & obesity_check$age>=18,] # AHA!

# check where the discrepancy is?
c = ob_adults$mosaic[!ob_adults$mosaic%in%aki_flupos$Subject_ID]; c