qdsfit/Container.py

# -*- encoding: utf8 -*-

from PyQt4.QtCore import QObject, Qt, pyqtSignal, pyqtSlot
from PyQt4.QtGui import QColor
import numpy as np
import pyqtgraph as pg

import ContainerWidgets
from math.BDSMathlib import id_to_color
from math import libyaff


__author__ = 'markusro'


class BaseObject(QObject):
    changedData = pyqtSignal()
    removeObj = pyqtSignal(QObject)

    def __init__(self, plt_real=None, plt_imag=None, limits=None):
        super(BaseObject, self).__init__()

        myPen = pg.mkPen( style=Qt.DotLine,
                          width=2.5)

        self.data_curve_real = pg.PlotDataItem(x=np.array([np.nan]),y=np.array([np.nan]), pen=myPen)
        self.plt_real = plt_real
        self.plt_real.addItem(self.data_curve_real)

        self.data_curve_imag = pg.PlotDataItem(x=np.array([np.nan]),y=np.array([np.nan]), pen=myPen)
        self.plt_imag = plt_imag
        self.plt_imag.addItem(self.data_curve_imag)

        self.limits = limits

        # private varaibles

        self._color = QColor("white")
        self._id_label = None
        self._id_string = None
        self._widget = None
        self._frequency = np.logspace(np.log10(limits[0]), np.log10(limits[1]), 256)
        self._data = None
        self._func = None
        self._beta = None
        self._sd_beta = None
        self._selector_mask = None
        self._param_number = 0
        self._abort = False

    def set_limits(self, limits):
        self.limits = limits
        self.updateData()

    @pyqtSlot(bool)
    def abort(self, abort=False):
        self._abort = abort

    @property
    def param_number(self):
        return self._param_number

    @param_number.setter
    def param_number(self, num):
        self._param_number = num

    @property
    def id_string(self):
        return self._id_string

    @id_string.setter
    def id_string(self, id):
        #self._func = self.functions.get_function(id)
        self._id_string  = id


    @property
    def id_label(self):
        return self._id_label

    @id_label.setter
    def id_label(self, id):
        #self._func = self.functions.get_function(id)
        self._func = self.function
        self._id_label  = id

    @property
    def color(self):
        return self._color

    @color.setter
    def color(self, c):
        self._color = c
        print c
        self.data_curve_real.setPen(color=c, style=Qt.DotLine, width=2.5)
        self.data_curve_imag.setPen(color=c, style=Qt.DotLine, width=2.5)

    @property
    def widget(self):
        return self._widget

    @widget.setter
    def widget(self, wdgt):
        self._widget = wdgt
        self._widget.changedTable.connect(self.updateData) # TODO better to use self.setParameter
        self.removeObj.connect(self._widget.deleteLater)
        self._widget.removeMe.connect(self.removeMe)

    def getParameter(self):
        p = self.widget.getTable() # TODO ugly ... should return self._beta etc ...?
        return p

    def getFixed(self):
        p = self.widget.fixedParameter()
        return p

    def setParameter(self, beta, sd_beta=None):
        self._beta    = beta
        self._sd_beta = sd_beta
        self.widget.updateTable(beta, sd_beta)
        self.updateData()

    def get_data(self):
        return self._frequency, self._data

    def removeMe(self):
        self.plt_imag.removeItem(self.data_curve_imag)
        self.plt_real.removeItem(self.data_curve_real)
        self.removeObj.emit(self)
        self.changedData.emit()

    def updateData(self):
        self._frequency = np.logspace(np.log10(self.limits[0]), np.log10(self.limits[1]), 256)
        self._data = self._func(self.getParameter(), self._frequency)
        self.data_curve_real.setData(x=self._frequency, y=self._data[0])
        self.data_curve_imag.setData(x=self._frequency, y=self._data[1])
        self.changedData.emit()

    def resampleData(self, x):
        data = self._func(self.getParameter(), x)
        return np.array([x,data[0],data[1]]).T


    def clearData(self):
        self.data_curve_real.setData(x=[np.nan], y=[np.nan])
        self.data_curve_imag.setData(x=[np.nan], y=[np.nan])

    def function(self,p,x):
        if self._abort: raise StopIteration
        #raise NotImplementedError, "This needs to be implemented in your subclass"


class Conductivity(BaseObject):
    def __init__( self, plt_imag=None, plt_real=None, limits=None ):
        super(Conductivity, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
        self.widget = ContainerWidgets.ConductivityWidget()
        self.color = QColor("blue")
        self.id_label = "Cond."
        self.id_string = "cond"

        self.param_number = 3

    def function(self, p, x ):
        om = 2*np.pi*x
        sgma, isgma, n = p
        cond = sgma/(om**n) + isgma/(1j*om**n) # Jonscher (Universal Dielectric Response: e",e' prop sigma/omega**n
        cplx = np.array([cond.real, -cond.imag])
        return cplx


class PowerComplex(BaseObject):
    def __init__( self, plt_real=None, plt_imag=None, limits=None ):
        super(PowerComplex, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
        self.widget = ContainerWidgets.PowerLawWidget()
        self.color = QColor("#ff44c4")
        self.id_label = 'Power Law'
        self.id_string = "pwr"
        self.param_number = 2

    def function( self, p, x ):
        BaseObject.function(self,p,x)
        om = 2*np.pi*x
        sgma,n = p
        power = sgma/(om*1j)**n
        cplx = np.array([power.real, -power.imag])
        return cplx


class Static(BaseObject):
    def __init__( self, plt_real=None, plt_imag=None, limits=None ):
        super(Static, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
        self.widget = ContainerWidgets.StaticWidget()
        self.color = QColor('#FF0F13')
        self.id_label = u'ε(∞)'
        self.id_string = "eps_infty"
        self.param_number = 1

    def function( self, p, x ):
        BaseObject.function(self,p,x)
        eps_inf = p[0]
        static = np.ones( (2,x.size) )*eps_inf
        static[1,:] *= 0 # set imag part zero
        return static


class Peak(BaseObject):
    def __init__( self, id_num=None, plt_real=None, plt_imag=None, limits=None ):
        super(Peak, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
        self.widget = ContainerWidgets.PeakWidget()
        self.widget.setId(id_num)
        self.color = id_to_color(id_num)
        self.widget.setColor(self.color)
        self.id_num = id_num
        self.id_label = "Hav-Neg"
        self.id_string = "hn"
        self.param_number = 4

    def function( self, p, x ):
        BaseObject.function(self,p,x)
        eps,t,a,b = p
        om = 2*np.pi*x
        hn = eps/(1+(1j*om*t)**a)**b
        cplx = np.array([hn.real, -hn.imag])
        return cplx


class YAFF(BaseObject):
    def __init__( self, plt_real=None, plt_imag=None, limits=None ):
        super(YAFF, self).__init__(plt_real=plt_real, plt_imag=plt_imag, limits=limits)
        self.widget = ContainerWidgets.YaffWidget()
        self.widget.on_model_changed.connect(self.change_model)
        self.widget.configuration_changed.connect(self.change_configuration)
        self.color = QColor(32, 120, 29, int(255*0.82))
        self._libyaff = libyaff.Yaff(self.widget.getYaffType())
        self.id_label = self._libyaff.label
        self.id_string = "yaff"
        self._param_number = self._libyaff.params
        self._selector_mask = self.widget.selector_mask

    @property
    def param_number(self):
        return self._param_number

    @param_number.setter
    def param_number(self, num=None):
        self._param_number = self._libyaff.params

    def change_configuration(self, t_list, tau_list):
        self._libyaff.dist_tau = tau_list
        self._libyaff.time_points = t_list
        self.updateData()

    def change_model(self):
        self._libyaff = libyaff.Yaff(self.widget.getYaffType())
        self._selector_mask = self.widget.selector_mask
        self.id_label = self._libyaff.label
        self.param_number = self._libyaff.params
        self.updateData()

    def function( self, p, x ):
        BaseObject.function(self,p,x)
        ya = self._libyaff.loss( p, x)
        cplx = np.array([ya.imag, ya.real])
        return cplx