# -*- coding: utf-8 -*-
"""
Project: Analyse worldwide COVID-19 Data and provide graphs etc.

@author Patrick Müller
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import tkinter as tk

"""
Fields in csv:
dateRep
day
month
year
cases
deaths
countriesAndTerritories
geoId
countryterritoryCode
popData2018
"""
from datetime import datetime, timedelta


class Analyser:
	# Pandas Settings
	pd.set_option('display.max_row', 50)
	pd.set_option('display.max_column', 10)

	df = pd.read_csv('2020-03-28_11-00.csv', encoding='windows-1252')
	df['dateRep'] = pd.to_datetime(df['dateRep'])
	print(df['dateRep'].head())

	def getAvailableCountries(self):
		return self.df['countriesAndTerritories'].unique()

	def getCasesGraph(self, country) -> str:
		"""
		Get a graph with the absolute number of cases by day for the entered country
		:param country: The country you wish to get the graph for
		:return: The path for the picture of the graph
		"""
		fig = plt.figure()
		ax = fig.add_subplot(111)

		countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
		print(countryData['cases'].sum())

		return 'abc'

	def getTotalCases(self, country, date=datetime.now().strftime('%Y-%m-%d')) -> int:
		"""
		Get the current total cases for the entered country
		:param country: The country you want the case number for
		:param date: The date for which the case number is returned. Standard is the current date.
		:return: The case number
		"""
		countryData = self.df[self.df['countriesAndTerritories'].isin([country])]
		finalData = pd.DataFrame
		countryData.filter(datetime.strptime(country))
		print(finalData)
		return countryData['cases'].sum()