"""
    Unit tests for fitting module 
"""
import unittest
from sans.guitools.plottables import Theory1D
from sans.guitools.plottables import Data1D
from sans.fit.AbstractFitEngine import Data, Model,FitData1D
import math
from sans.fit.Fitting import Fit
from DataLoader.loader import Loader

class testFitModule(unittest.TestCase):
    """ test fitting """
    
    def test_scipy(self):
        """ Simple cylinder model fit (scipy)  """
        
        out=Loader().load("cyl_400_20.txt")
        data1 = Data1D(x=out.x, y=out.y, dx=out.dx, dy=out.y)
        
        fitter = Fit('scipy')
        # Receives the type of model for the fitting
        from sans.models.CylinderModel import CylinderModel
        model1  = CylinderModel()
        model1.setParam('contrast', 1)
        #data = Data(sans_data=data1)
        data = FitData1D(data1)
        model = Model(model1)
        
        pars1 =['length','radius','scale']
        fitter.set_data(data,1)
        model.set(scale=1e-10)
        fitter.set_model(model,1,pars1)
        fitter.select_problem_for_fit(Uid=1,value=1)
        result1 = fitter.fit()
        
        self.assert_(result1)
        self.assertTrue(len(result1.pvec)>0 or len(result1.pvec)==0 )
        self.assertTrue(len(result1.stderr)> 0 or len(result1.stderr)==0)
        
        self.assertTrue( math.fabs(result1.pvec[0]-400.0)/3.0 < result1.stderr[0] )
        self.assertTrue( math.fabs(result1.pvec[1]-20.0)/3.0  < result1.stderr[1] )
        self.assertTrue( math.fabs(result1.pvec[2]-9.0e-12)/3.0   < result1.stderr[2] )
        self.assertTrue( result1.fitness < 1.0 )
        
    def test_park(self):
        """ Simple cylinder model fit (park)  """
        
        out=Loader().load("cyl_400_20.txt")
        data1 = Data1D(x=out.x, y=out.y, dx=out.dx, dy=out.y)
        
        fitter = Fit('park')
        # Receives the type of model for the fitting
        from sans.models.CylinderModel import CylinderModel
        model1  = CylinderModel()
        
        #data = Data(sans_data=data1)
        data = FitData1D(data1)
        model = Model(model1)
        
        pars1 =['length','radius','scale']
        fitter.set_data(data,1)
        model.set(contrast= 1)
        model.set(scale=1e-10)
        fitter.set_model(model,1,pars1)
        fitter.select_problem_for_fit(Uid=1,value=1)
        result1 = fitter.fit()
        
        self.assert_(result1)
        self.assertTrue(len(result1.pvec)>0 or len(result1.pvec)==0 )
        self.assertTrue(len(result1.stderr)> 0 or len(result1.stderr)==0)
        
        print result1.pvec[0]-400.0, result1.pvec[0]
        print math.fabs(result1.pvec[0]-400.0)/3.0
        self.assertTrue( math.fabs(result1.pvec[0]-400.0)/3.0 < result1.stderr[0] )
        self.assertTrue( math.fabs(result1.pvec[1]-20.0)/3.0  < result1.stderr[1] )
        self.assertTrue( math.fabs(result1.pvec[2]-9.0e-12)/3.0   < result1.stderr[2] )
        self.assertTrue( result1.fitness < 1.0 )
        
    def test_park2(self):
        """ Simultaneous cylinder model fit (park)  """
        
        out=Loader().load("cyl_400_20.txt")
        data1 = Data1D(x=out.x, y=out.y, dx=out.dx, dy=out.y)
        
        out2=Loader().load("cyl_400_40.txt")
        data2 = Data1D(x=out2.x, y=out2.y, dx=out2.dx, dy=out2.y)
        
        fitter = Fit('park')
        # Receives the type of model for the fitting
        from sans.models.CylinderModel import CylinderModel
        cyl1  = CylinderModel()
        cyl1.name = "C1"
        
        #data1 = Data(sans_data=data1)
        data1 = FitData1D(data1)
        model1 = Model(cyl1)
        model1.set(contrast=1)
        model1.set(scale= 1e-10)
        fitter.set_data(data1,1)
        fitter.set_model(model1, 1, ['length','radius','scale'])
        
        cyl2  = CylinderModel()
        cyl2.name = "C2"
        
        #data2 = Data(sans_data=data2)
        data2 = FitData1D(data2)
        # This is wrong. We should not store string as 
        # parameter values
        # Why not inherit our AbstracFitEngine.Model from Park.Model?
        
        #cyl2.setParam('length', 'C1.length')
        #print "read back:", cyl2.getParam('length')
        
        model2 = Model(cyl2)
        model2.set(length='C1.length')
        model2.set(contrast=1)
        model2.set(scale= 1e-10)
        fitter.set_data(data2,2)
        fitter.set_model(model2, 2, ['radius','scale'])
        fitter.select_problem_for_fit(Uid=1,value=1)
        fitter.select_problem_for_fit(Uid=2,value=1)
        result1 = fitter.fit()
        
        self.assert_(result1)
        self.assertTrue(len(result1.pvec)>0 or len(result1.pvec)==0 )
        self.assertTrue(len(result1.stderr)> 0 or len(result1.stderr)==0)
        
        for par in result1.parameters:
            if par.name=='C1.length':
                print par.name, par.value
                self.assertTrue( math.fabs(par.value-400.0)/3.0 < par.stderr )
            elif par.name=='C1.radius':
                print par.name, par.value
                self.assertTrue( math.fabs(par.value-20.0)/3.0 < par.stderr )
            elif par.name=='C2.radius':
                print par.name, par.value
                self.assertTrue( math.fabs(par.value-40.0)/3.0 < par.stderr )
            elif par.name=='C1.scale':
                print par.name, par.value
                self.assertTrue( math.fabs(par.value-9.0e-12)/3.0 < par.stderr )
            elif par.name=='C2.scale':
                print par.name, par.value
                self.assertTrue( math.fabs(par.value-9.0e-12)/3.0 < par.stderr )