#!/usr/bin/python

import csv

data = []

with open('./SolarWindTotal.csv', 'rb') as inp:
  rdr = csv.reader(inp, delimiter=';')
  for row in rdr:
    data.append(row);

ldata=len(data);

# MW
windBeg = 44541.0
windEnd = 49534.0
solarBeg = 38343.0
solarEnd = 39787.0

# MWH
accCapacity = 40000.0

# MW
accPower = 11300.0

# Inputs are solar installed and wind installed, in MW
def point(s, w):
  acc = 0.0
  totalUsed = 0.0
  sumDemand = 0.0
  for i in range(0,ldata):
    curSolar=solarBeg+(solarEnd-solarBeg)/ldata*i
    curWind=windBeg+(windEnd-windBeg)/ldata*i
    curPower=float(data[i][0])*1000.0/curSolar*s+float(data[i][1])*1000.0/curWind*w
    curPowerUsable=curPower
    curDemand=float(data[i][2])*1000.0
    sumDemand+=curDemand
    if curPower>curDemand:
      curPowerUsable=curDemand
      savedAcc=curPower-curDemand
      if (savedAcc>accPower):
        savedAcc=accPower
      if (acc+savedAcc) > accCapacity:
        savedAcc=accCapacity-acc;
      acc+=savedAcc*0.9
    else:
      takeFromAcc=acc*0.9;
      if (takeFromAcc>accPower):
        takeFroMAcc=accPower
      if (takeFromAcc+curPower)>curDemand:
        takeFromAcc=curDemand-curPower
      curPowerUsable+=takeFromAcc
      acc-=takeFromAcc/0.9
    totalUsed+=curPowerUsable
  return totalUsed+acc

s = 160000
w = 160000

# minimal values which mean 0% is wasted
r0 = point(10000, 10000)/1000.0

# given values
r1 = point(s, w)/1000.0

# to calculate marginal waste ratio
r2 = point(s*1.001, w*1.001)/1000.0

diff = r2/r1

lratio = (r2-r1)*1000/(s+w)
iratio = r0/20000

print(r0,r1,r2,diff,lratio/iratio)