from constants import *

from numpy import sqrt, abs, cos, sin, arcsin, searchsorted, loadtxt, log, array, select

from scipy.integrate import quad
from read import ReadProfile,resultdir

# Value for analytic expression
Ee_default=1e3 #GeV

Egamma_default=1 #GeV

B_default=1e-17 #Gauss
lambda_B_default=0.3 #Mpc

def Analytic_flux(E_ic):

   return  me*1e3/4*sqrt(3e9/Ecmb)*1e-9*E_ic**(-3/2.) #GeV

def Analytic_theta_vs_energy(E_ic,fileId):
   B,Esource,Dsource=ReadProfile(fileId,[0,1,2]) #Gauss #GeV #Mpc 
   Esource=1e5
   #delta_to_theta=lambda_gg(Esource)/Dsource

   delta_to_theta=1.9440974051313842/Dsource

   RL0=RL(Esource/2,B)
   Dic0=Dic(Esource/2)

   delta=Dic0/(2*RL0)*((Esource/(2*Ee(E_ic)))**2 -1)
   return abs(arcsin(delta_to_theta*sin(delta)))*degre

def Analytic_delay_vs_theta(theta,fileId):

   Esource,distSource=ReadProfile(fileId,[1,2]) #GeV #Mpc 

   lgg = lambda_gg(Esource)[0]

   E0_source = Esource*1e-3 #TeV

   delta_ic = arcsin(distSource/lgg*sin(theta))
   Dic0=Dic(E0_source/2)

   c_delta_t = (lgg*(1-cos(delta_ic)) - distSource*(1-cos(theta)))*log(lgg/theta)

   return c_delta_t *Mpc/c # sec.

def Analytic_delay_vs_energy(Egamma, fileId):
   B,Esource,Dsource=ReadProfile(fileId,[0,1,2]) #Gauss #GeV #Mpc 

   RL0=RL(Esource/2,B)
   Dic0=Dic(Esource/2)

   E_e = Ee(Egamma)

   lgg = lambda_gg(Esource)[0]
   #lgg=1.9440974051313842

   delta_ic = Dic0/(2*RL0)*((Esource/2/E_e)**2 -1)

   theta = arcsin(lgg/Dsource*sin(delta_ic))

   c_delta_t = (lgg*(1-cos(delta_ic)) - Dsource*(1-cos(theta)))*log(lgg/theta)

   return c_delta_t *Mpc/c # sec.

# Compton accumulation

def ECompton_threshold(Compton_threshold = 0.005,z=0):
   return Compton_threshold/(4/3*Ecmb*(1+z)/me*1e-3) *me*1e-6 #GeV

# Compton scattering

def Dic(Ee=Ee_default,z=0): # Ee (GeV)
   return 3*(me*1e3)**2/(4*sigmaT*Ee*1e9*rhoCMB*(1+z)**4) /Mpc #Mpc

def lambdaIC(z=0):
   return 1/(sigmaT*Mpc*nCMB*(1+z)**3) #Mpc

def Eic(Ee=Ee_default,z=0):
   return 4*Ecmb*(1+z) *Ee**2/(3*me**2)*1e3 #GeV 

def Ee(Egamma=Egamma_default,z=0):
   return me*sqrt((3*Egamma*1e-3 )/(4*Ecmb*(1+z))) #GeV 

def tIC():
   return lambdaIC()/(c*yr/Mpc) #yr

# Larmor radius
def RL(Ee=Ee_default,B=B_default):
   return (Ee/erg_to_GeV)/(e*B) /Mpc #Mpc

# Magnetic deflection
def delta(Ee=Ee_default,B=B_default):
   return lambdaIC()/RL(Ee,B)*degre

def Delta(Ee=Ee_default,B=B_default,lambda_B=lambda_B_default):

   Ee=array(Ee)
   D_ic=Dic(Ee)
   condlist=[lambda_B>D_ic,lambda_B<D_ic]
   Delta=[Dic(Ee)/RL(Ee,B)*degre,sqrt(Dic(Ee)*lambda_B)/RL(Ee,B)*degre]
   return select(condlist,Delta)

# Threshold energy when Dic = RL
def Ethreshold_ic(Ee=Ee_default,B=B_default):
   return Eic(Ee)*Dic(Ee)/RL(Ee,B) # GeV

def Ethreshold_gg(epsilon=Eebl):
   return (me)**2/epsilon *1e-3 #GeV

def lambda_gg(Egamma=1e3,z=0): # Egamma (GeV)

   # Bilinear interpolation 
   z_tab = [0,0.5,1,2,3]
   E_tab = loadtxt("lambda_e.dat",unpack=True,usecols=[0])*me*1e-6
   i2 = searchsorted(z_tab,z)
   if z<=0:
      fy=1
      i1=i2
   elif z>3:
      fy=1
      i2-=1
      i1=i2
   else:
      i1 = i2-1
      fy=(z-z_tab[i1])/(z_tab[i2]-z_tab[i1])
   j2 = searchsorted(E_tab,Egamma)
   j1 = j2-1
   fx=(Egamma-E_tab[j1])/(E_tab[j2]-E_tab[j1])
   lambda_e = loadtxt("lambda_e.dat",unpack=True,usecols=[i1+1,i2+1,i1+6,i2+6])
   lambda11 = lambda_e[0,j1]*((1-fx)*(1-fy))
   lambda12 = lambda_e[1,j1]*((1-fx)*fy)
   lambda21 = lambda_e[0,j2]*(fx*(1-fy))
   lambda22 = lambda_e[1,j2]*(fx*fy)
   lambda_proper = lambda11 + lambda12 + lambda21 + lambda22
   lambda11 = lambda_e[2,j1]*((1-fx)*(1-fy))
   lambda12 = lambda_e[3,j1]*((1-fx)*fy)
   lambda21 = lambda_e[2,j2]*(fx*(1-fy))
   lambda22 = lambda_e[3,j2]*(fx*fy)
   lambda_comobile = lambda11 + lambda12 + lambda21 + lambda22
   return lambda_proper, lambda_comobile, 800.e3/Egamma #Mpc (from Durrer and Neronov 2013)

def comobileTime(z):
   return -1/(H0*(1+z)*sqrt(omegaM*(1+z)**3+omegaK*(1+z)**2+omegaL))

def distPhoton(z):
   return -c/(H0*a0*sqrt(omegaM*(1+z)**3+omegaK*(1+z)**2+omegaL))

def distLepton(z,E):
   beta = sqrt(1-m**2*c**4/E**2)
   return -beta*c/(H0*a0*sqrt(omegaM*(1+z)**3+omegaK*(1+z)**2+omegaL))

def properIntegrand(z):
   return -c/(H0*(1+z)*sqrt(omegaM*(1+z)**3+omegaK*(1+z)**2+omegaL))

def comobileIntegrand(z):
   return -c/(H0*sqrt(omegaM*(1+z)**3+omegaK*(1+z)**2+omegaL))

def distance(z=0):
   return quad(properIntegrand,z,0)[0]/Mpc, quad(comobileIntegrand,z,0)[0]/Mpc

def Ecut(z=0.1): # TeV
   z=array(z)
   z1= 0.045
   z2= 0.1
   condlist=[z<z1,(z>=z1)&(z<z2),z>=z2]
   Ecut=[54*(z/0.001)**(-0.5),3.4*(z/0.06)**(-3),0.35*(z/0.4)**(-0.5)]
   return select(condlist,Ecut)

def Etarget(Egamma=1): # Egamma en TeV, Etarget en eV
    return 6.9*(Egamma/0.2)**(-0.9)