#!/usr/bin/env python
# -*- coding: utf-8 -*-

import csv
import argparse
from clint.textui import puts, colored, indent
from clint.textui import columns
#import pytz
#import tzlocal
import time
from datetime import datetime, timedelta, date
import dateutil.parser
from dateutil.rrule import rrulestr
#from icalendar import Calendar,Event,Todo,Journal,Alarm
#import caldav
#import uuid
#import json
import os
#os.environ['LANGUAGE']='fr'
#import logging
import sys
#import re
#import urllib3
#from getpass import getpass
#from sympy import symbols
#from sympy.plotting import textplot
import subprocess
from subprocess import Popen, PIPE
import numpy as np
import gettext
#gettext.bindtextdomain('base', 'locale/en/LC_MESSAGES/base.mo')
#gettext.textdomain('base')
# Voir : https://docs.python.org/fr/3/library/gettext.html
en = gettext.translation('base', localedir='locale/', languages=['en'])
en.install()
_ = en.gettext # english
# fr = gettext.translation('base', localedir='locale/', languages=['fr'])
# fr.install()
# _ = fr.gettext # english
# Voir : https://medium.com/i18n-and-l10n-resources-for-developers/how-to-translate-python-applications-with-the-gnu-gettext-module-5c1c085041

"""
This program allow you to store and visualise your weight.
No database is necessary because all is stored in files.
Three files are important :
- weight-cli.py, the principal program
- data2.csv, the data file and
- Fonctionnel.txt, the code for Gnuplot
But other files are present, as personal.txt with your other
parameters.

A measure is characterized by :
    - its value
    - its type
    - its date
    - its metrics
    - its identifier
    - one comment
    - other
    
Actually, weight-cli allow to add or remove a measure,
visualise all the measure, plot a graph of these.

To know witch parameters are available, type :
weight-cli --help or weight-cli -h
"""

def save_file_data():
	""" Saving the data file name """
	f = open("Fonctionnel.txt", "r")
	contents = f.readlines()
	f.close()
	linenum = 0
	for row in contents:
		if row.split(' ',1)[0] == 'plot':
			contents.insert(linenum, "plot '"+args.data+"' using 3:1 w dots title '', f(x) lt 7 title 'bmi'\n")
			del(contents[linenum+1])
		linenum += 1
	f = open("Fonctionnel.txt", "w")
	contents = "".join(contents)
	f.write(contents)
	f.close()
			
def save_mesure():
	""" Displaying and recording a measure """
	print(_("Your measure has been recorded"))
	with indent(4, quote=colored.blue('')):
		puts(colored.green("-your weight : {weight} kg").format(weight=args.weight))
		puts("-its type : {typ}".format(typ=args.type))
		puts("-the date : {dat}".format(dat=args.date))
		puts("-the metric : {metric}".format(metric=args.metric))
		puts("-the identifier : {ide}".format(ide=args.id))
		puts("-your comment : {comment}".format(comment=args.comment))
		puts("-other : {other}".format(other=args.other))
	with open(str(args.data), 'a', newline='\n') as csvfile:
		weightwriter = csv.writer(csvfile, delimiter='|', quotechar='"', quoting=csv.QUOTE_MINIMAL)
		weightwriter.writerow([str(args.weight), \
				str(args.type), \
				str(datetime.now().strftime("%Y-%m-%d %H:%M:%S")), \
				str(args.metric), str(args.id), \
				str(args.comment), \
				str(args.other)])
		
def read_measures():
	""" Display of all measures """
	data_file = open(str(args.data), 'r')
	data = csv.reader(data_file, delimiter='|')
	linenum = 0
	for row in data:
		with indent(2, quote=colored.blue('')):
			puts(columns([(colored.red(str(linenum))), 4], \
					[(colored.green(str(row[0])+' kg')), 15], \
					[(str(row[1])),10], \
					[(colored.yellow(str(row[2]))),25], \
					[(str(row[3])),6], \
					[(str(row[4])),4], \
                    [(colored.magenta(str(row[5]))),20])), \
                    [(str(row[6])),10]
		linenum += 1
	data_file.close()
	
def remove_measure():
	""" Remove a measure """
	f = open(args.data, "r")
	contents = f.readlines()
	f.close()
	# remove the line item from list, by line number, starts from 0
	store_temp = str(args.remove)+' '+contents[args.remove]
	g = open('remove.txt', "w")
	g.write(str(store_temp))
	g.close()
	contents.pop(args.remove) 

	f = open(args.data, "w")
	contents = "".join(contents)
	f.write(contents)
	f.close()
	
def undo_remove():
	""" Undo remove the last line removed """
	f = open(args.data, "r")
	contents = f.readlines()
	f.close()
	g = open('remove.txt', 'r')
	store_temp = g.readline().split(' ',1)
	g.close()
	# insert the line item from list, by its line number
	contents.insert(int(store_temp[0]), store_temp[1]) 

	f = open(args.data, "w")
	contents = "".join(contents)
	f.write(contents)
	f.close()
	
def plot_graph():
	""" Plot the graph of the weight evolution with Gnuplot """
	if args.dates != None:
		print(args.dates)
		# set xrange [*:*]
		f = open("Fonctionnel.txt", "r")
		contents = f.readlines()
		f.close()
		linenum = 0
		for row in contents:
			motif = row.split(' ',2)[0]+' '+row.split(' ',2)[1]
			if motif == 'set xrange':
				if args.dates[0] == '*':
					ligne = "set xrange [*:'"+args.dates[1]+"']\n"
				elif args.dates[1] == '*':
					ligne = "set xrange ['"+args.dates[0]+"':*]\n"
				else:
					ligne = "set xrange ['"+args.dates[0]+"':'"+args.dates[1]+"']\n"
				contents.insert(linenum, ligne)
				del(contents[linenum+1])
			linenum += 1
		f = open("Fonctionnel.txt", "w")
		contents = "".join(contents)
		f.write(contents)
		f.close()
	else:
		f = open("Fonctionnel.txt", "r")
		contents = f.readlines()
		f.close()
		linenum = 0
		for row in contents:
			motif = row.split(' ',2)[0]+' '+row.split(' ',2)[1]
			if motif == 'set xrange':
				contents.insert(linenum, "set xrange [*:*]\n")
				del(contents[linenum+1])
			linenum += 1
		f = open("Fonctionnel.txt", "w")
		contents = "".join(contents)
		f.write(contents)
		f.close()
	#process = Popen(['gnuplot', 'Fonctionnel.txt'], stdout=PIPE, stderr=PIPE)
	process = Popen(['gnuplot', 'Fonctionnel.txt'])#, stdout=PIPE, stderr=PIPE)
	stdout, stderr = process.communicate()
	#print(stdout)

def save_size():
	print(bmi_weight_max())
	""" Store the size """
	f = open('personal.txt', "w")
	f.write(str(args.size))
	f.close()
	
	f = open("Fonctionnel.txt", "r")
	contents = f.readlines()
	f.close()
	linenum = 0
	for row in contents:
		motif = row.split(' ',2)[0]+' '+row.split(' ',2)[1]
		if motif == 'f(x) =':
			contents.insert(linenum, "f(x) = "+str(bmi_weight_max())+"\n")
			del(contents[linenum+1])
		linenum += 1
	f = open("Fonctionnel.txt", "w")
	contents = "".join(contents)
	f.write(contents)
	f.close()
	
def tests_subproc():
	""" Test of the subprocess module """
	process = Popen(['cat', 'data2.csv'], stdout=PIPE, stderr=PIPE)
	stdout, stderr = process.communicate()
	print(stdout)
	
def bmi(the_weight):
	""" Return the BMI for a given size """
	f = open('personal.txt', "r")
	the_size = float(f.read())
	f.close()
	bmi = the_weight / pow(the_size, 2)
	return(bmi)
	
def bmi_weight_max():
	""" Return the weight for BMI max """
	f = open('personal.txt', "r")
	the_size = float(f.read())
	f.close()
	weight_max = 29.9 * pow(the_size, 2)
	return(weight_max)

### Main ###
""" Weight Recording Program
	Be careful, the data.csv file has a header line that lacks
	a final | separator for the number of fields to be correct.
"""

# Creating the parser for arguments
parser = argparse.ArgumentParser()
texte = _('A script to manage your weight in command line.')
parser.description=texte
# Creating arguments
parser.add_argument('-da', '--data',
    default='data.csv',
    help=_('optional : file data')
)
parser.add_argument('-s', '--size',
    type=float,
    default=-1,
    help=_('optional : size in meter')
)
parser.add_argument('-w', '--weight',
    type=float,
    default=-1,
    help=_('optional : weight in kilogram')
)
parser.add_argument('-t', '--type',
    default='WEIGHT',
    help=_('optional : type')
)
parser.add_argument('-d', '--date',
    default=datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
    help=_('optional : date')
)
parser.add_argument('-i', '--id',
    default='',
    help=_('optional : id')
)
parser.add_argument('-m', '--metric',
    default='true',
    help=_('optional : metric')
)
parser.add_argument('-c', '--comment',
	default=' ',
	help=_('optional : comment')
)
parser.add_argument('-o', '--other',
    default='',
    help=_('optional : other')
)
parser.add_argument('-r', '--read',
	help='optional read measures',
	action='store_true'
)
parser.add_argument('-rem', '--remove',
    type=int,
    default='-1',
	help=_('optional : delete a measure by its number in the list')
)
parser.add_argument('-g', '--graph',
	help=_('optional : plot graph'),
	action='store_true'
)
parser.add_argument('-ds', '--dates',
	nargs='+',
	help=_("optional : min_date max_date -> 'Y-m-d hh:mm:ss' or '*' for an automatic date.")
)
parser.add_argument('-tst', '--tests',
	help='optional tests operations',
	action='store_true'
)
parser.add_argument('-ur', '--undoremove',
	help=_('optional : undo remove the last line removed'),
	action='store_true'
)
parser.add_argument('-v', '--version',
	version='0.0.5',
	action='version'
)
# Argument retrieval  
args = parser.parse_args()
# Launching of actions
if args.data != 'data2.csv':
	save_file_data()
if args.size != -1:
	save_size()
if args.weight != -1:
	save_mesure()
if args.read:
	read_measures()
if args.remove >= 0:
	remove_measure()
if args.graph:
	plot_graph()
if args.tests:
	tests_subproc()
if args.undoremove:
	undo_remove()