<filename>epipy/ui/controller/sidebarcontroller.py<gh_stars>1-10
# -*- coding: utf-8 -*-

import numpy as np
from epipy.lib.core.fit import fit
from epipy.ui.view import Notification
from epipy.utils import csvmanager, dateconverter
from epipy.ui.model.sidebarmodel import SideBarModel
from epipy.ui.view.sidebarwidget import SideBarWidget
from epipy.ui.view.advanceddialog import SIRAdvancedDialog, \
    SEIRAdvancedDialog, SIRSAdvancedDialog


class SideBarController(object):
    """This class represents the controller of *SideBarWidget*.

    :param: parent: the parent controller
    :type parent: *MainWindowController*

    :returns: an instance of *SideBarController*
    """

    def __init__(self, parent):
        self.parent = parent
        self.model = SideBarModel()
        self.view = SideBarWidget()
        self.advanced_dialog = None

        self.view.fit_btn.clicked.connect(self.fit)
        self.view.reset_btn.clicked.connect(self.reset)

        open_file_btn = self.view.input_group_box.open_file_btn
        open_file_btn.clicked.connect(self.open_file)
        advanced_btn = self.view.options_group_box.advanced_btn
        advanced_btn.clicked.connect(self.show_advanced_dialog)

    def open_file(self):
        """Shows an open file dialog and update the *InputGroupBox* with
        information from selected CSV file. Scanned data *InputModel*
        will be save in *InputModel*.
        """
        view = self.view.input_group_box
        model = self.model.input_model

        file_name = self.view.input_group_box.open_file()
        file_content = csvmanager.read(file_name)

        if not file_name:
            return  # no file was selected, do nothing

        if not file_content:
            self.view.options_group_box.show_notification(Notification.INVALID_DATA)

        model.file_name = file_name
        model.file_content = file_content
        model.file_length = len(file_content.values()[0])
        model.data_range = '0:%s' % model.file_length  # Default
        model.data_percentage = 100.00  # Default
        model.population = 1  # Default
        view.update(file_name=model.file_name,
                    date_cb_title=file_content.keys(),
                    data_cb_title=file_content.keys(),
                    data_range=model.data_range,
                    data_percentage=model.data_percentage,
                    population=model.population)

    def fit(self):
        """Starts the fitting process by collectoing information from
        *InputGroupBox* and *OptionsGroupBox*. Information will triggered
        to *epipylib.core.fit*.
        """
        if not self.update_input_model():
            return  # Do nothing
        if not self.update_options_model():
            return  # Do nothing
        im = self.model.input_model

        data_range = im.data_range.split(":")
        from_value = int(data_range[0])
        to_value = int(data_range[1])

        file_content = im.file_content
        try:
            # X-axis = time
            x_data = file_content[str(im.date_col_title)]
            # Y-axis = infected individual
            y_data = file_content[str(im.data_col_title)]
            y_data = np.array(y_data[from_value:to_value], dtype=float)
            try:
                x_data = np.array(x_data[from_value:to_value], dtype=float)
            except ValueError:  # Try to convert dates into a valid format
                x_data = dateconverter.convert(x_data)
                if len(x_data) == 0:  # Can not convert dates
                    self.view.input_group_box.show_notification(
                        Notification.INVALID_DATE_DATA)
                    return
                    # Convert dates
                x_data = x_data[from_value:to_value]
        except ValueError:
            return

        percentage = int(im.data_percentage)
        x_data = x_data[:len(x_data) * percentage / 100]
        y_data = y_data[:len(y_data) * percentage / 100]

        om = self.model.options_model
        epi_model = om.epidemic_model
        N0 = om.epidemic_model_class.init_model(N=im.population,
                                                y0=y_data[-1])
        if om.with_parameters:
            y_data_fit, param, corr_coef = fit(model=epi_model,
                                               N0=N0,
                                               xdata=x_data,
                                               params=(om.epidemic_model_parameters.values()))

        else:
            y_data_fit, param, corr_coef = fit(model=epi_model,
                                               xdata=x_data,
                                               ydata=y_data,
                                               N0=N0,
                                               iter=10)
        om.epidemic_model_parameters = param

        self.parent.set_info_text(str(self.model))
        self.parent.plot_data(x_data, y_data,
                              x_data, y_data_fit)

        self.parent.view.show_notification_information\
            ("Fit process done, for details see 'Fit Information' Window.")

    def reset(self):
        """Resets *SideBarWidget* and create new *SideBarModel*."""
        self.view.clear()
        self.model = SideBarModel()

    def set_options_model(self):
        """Sets selected epidemic model information from *AdvancedDialog*."""
        param_group_box, epidemic_model_class, epidemic_model = \
            self.advanced_dialog.get_selected_model()
        self.view.options_group_box.add_parameter_group_box(param_group_box)
        self.model.options_model.epidemic_model = epidemic_model
        self.model.options_model.epidemic_model_class = epidemic_model_class

    def show_advanced_dialog(self):
        """Shows the *AdvancedDialog* based on selected epidemic model from
        *OptionsGroupBox*.
        """
        model = self.view.options_group_box.model_combo_box.currentText()
        if model == 'SIR':
            self.advanced_dialog = SIRAdvancedDialog()
        elif model == 'SEIR':
            self.advanced_dialog = SEIRAdvancedDialog()
        elif model == 'SIRS':
            self.advanced_dialog = SIRSAdvancedDialog()
        if self.advanced_dialog:
            self.advanced_dialog.show()
            self.advanced_dialog.button_box.accepted.connect(
                self.set_options_model)
        else:
            self.view.options_group_box.show_notification(Notification.NO_MODEL)

    def update_input_model(self):
        """Updates the *InputModel* with information from *InputGroupBox*.

        :returns: success of update
        :rtype: True/False
        """
        view = self.view.input_group_box
        model = self.model.input_model

        if not model.file_content:
            view.show_notification(Notification.NO_FILE)
            return False

        model.data_percentage = view.get_data_percentage()

        date_col_title = view.get_selected_date_cb_text()
        data_col_title = view.get_selected_data_cb_text()
        if date_col_title == data_col_title:
            view.show_notification(Notification.SAME_DATE_DATA)
            return False
        model.date_col_title = date_col_title
        model.data_col_title = data_col_title

        data_range = str(view.get_data_range())
        if not data_range or data_range.startswith(':'):
            view.show_notification(Notification.NO_DATA_RANGE)
            return False
        from_value = int(data_range.split(":")[0])
        to_value = int(data_range.split(":")[1])
        if to_value < from_value or to_value > model.file_length:
            view.show_notification(Notification.INVALID_DATA_RANGE)
            return False
        model.data_range = data_range

        population = view.get_population()
        if not population:
            view.show_notification(Notification.NO_POPULATION)
            return False
        model.population = population
        return True

    def update_options_model(self):
        """Update the *OptionsModel* with information from
        *OptionsGroupBox*.

        :returns: success of update
        :rtype: True/False
        """
        view = self.view.options_group_box
        model = self.model.options_model
        parameters = view.get_model_parameters()
        if not parameters:
            view.show_notification(Notification.NO_MODEL)
            return False
        model.epidemic_model_parameters = parameters
        model.with_parameters = view.parameters_check_box.isChecked()
        return True

<filename>epipy/ui/controller/sidebarcontroller.py<gh_stars>1-10
# -*- coding: utf-8 -*-

import numpy as np
from epipy.lib.core.fit import fit
from epipy.ui.view import Notification
from epipy.utils import csvmanager, dateconverter
from epipy.ui.model.sidebarmodel import SideBarModel
from epipy.ui.view.sidebarwidget import SideBarWidget
from epipy.ui.view.advanceddialog import SIRAdvancedDialog, \
    SEIRAdvancedDialog, SIRSAdvancedDialog


class SideBarController(object):
    """This class represents the controller of *SideBarWidget*.

    :param: parent: the parent controller
    :type parent: *MainWindowController*

    :returns: an instance of *SideBarController*
    """

    def __init__(self, parent):
        self.parent = parent
        self.model = SideBarModel()
        self.view = SideBarWidget()
        self.advanced_dialog = None

        self.view.fit_btn.clicked.connect(self.fit)
        self.view.reset_btn.clicked.connect(self.reset)

        open_file_btn = self.view.input_group_box.open_file_btn
        open_file_btn.clicked.connect(self.open_file)
        advanced_btn = self.view.options_group_box.advanced_btn
        advanced_btn.clicked.connect(self.show_advanced_dialog)

    def open_file(self):
        """Shows an open file dialog and update the *InputGroupBox* with
        information from selected CSV file. Scanned data *InputModel*
        will be save in *InputModel*.
        """
        view = self.view.input_group_box
        model = self.model.input_model

        file_name = self.view.input_group_box.open_file()
        file_content = csvmanager.read(file_name)

        if not file_name:
            return  # no file was selected, do nothing

        if not file_content:
            self.view.options_group_box.show_notification(Notification.INVALID_DATA)

        model.file_name = file_name
        model.file_content = file_content
        model.file_length = len(file_content.values()[0])
        model.data_range = '0:%s' % model.file_length  # Default
        model.data_percentage = 100.00  # Default
        model.population = 1  # Default
        view.update(file_name=model.file_name,
                    date_cb_title=file_content.keys(),
                    data_cb_title=file_content.keys(),
                    data_range=model.data_range,
                    data_percentage=model.data_percentage,
                    population=model.population)

    def fit(self):
        """Starts the fitting process by collectoing information from
        *InputGroupBox* and *OptionsGroupBox*. Information will triggered
        to *epipylib.core.fit*.
        """
        if not self.update_input_model():
            return  # Do nothing
        if not self.update_options_model():
            return  # Do nothing
        im = self.model.input_model

        data_range = im.data_range.split(":")
        from_value = int(data_range[0])
        to_value = int(data_range[1])

        file_content = im.file_content
        try:
            # X-axis = time
            x_data = file_content[str(im.date_col_title)]
            # Y-axis = infected individual
            y_data = file_content[str(im.data_col_title)]
            y_data = np.array(y_data[from_value:to_value], dtype=float)
            try:
                x_data = np.array(x_data[from_value:to_value], dtype=float)
            except ValueError:  # Try to convert dates into a valid format
                x_data = dateconverter.convert(x_data)
                if len(x_data) == 0:  # Can not convert dates
                    self.view.input_group_box.show_notification(
                        Notification.INVALID_DATE_DATA)
                    return
                    # Convert dates
                x_data = x_data[from_value:to_value]
        except ValueError:
            return

        percentage = int(im.data_percentage)
        x_data = x_data[:len(x_data) * percentage / 100]
        y_data = y_data[:len(y_data) * percentage / 100]

        om = self.model.options_model
        epi_model = om.epidemic_model
        N0 = om.epidemic_model_class.init_model(N=im.population,
                                                y0=y_data[-1])
        if om.with_parameters:
            y_data_fit, param, corr_coef = fit(model=epi_model,
                                               N0=N0,
                                               xdata=x_data,
                                               params=(om.epidemic_model_parameters.values()))

        else:
            y_data_fit, param, corr_coef = fit(model=epi_model,
                                               xdata=x_data,
                                               ydata=y_data,
                                               N0=N0,
                                               iter=10)
        om.epidemic_model_parameters = param

        self.parent.set_info_text(str(self.model))
        self.parent.plot_data(x_data, y_data,
                              x_data, y_data_fit)

        self.parent.view.show_notification_information\
            ("Fit process done, for details see 'Fit Information' Window.")

    def reset(self):
        """Resets *SideBarWidget* and create new *SideBarModel*."""
        self.view.clear()
        self.model = SideBarModel()

    def set_options_model(self):
        """Sets selected epidemic model information from *AdvancedDialog*."""
        param_group_box, epidemic_model_class, epidemic_model = \
            self.advanced_dialog.get_selected_model()
        self.view.options_group_box.add_parameter_group_box(param_group_box)
        self.model.options_model.epidemic_model = epidemic_model
        self.model.options_model.epidemic_model_class = epidemic_model_class

    def show_advanced_dialog(self):
        """Shows the *AdvancedDialog* based on selected epidemic model from
        *OptionsGroupBox*.
        """
        model = self.view.options_group_box.model_combo_box.currentText()
        if model == 'SIR':
            self.advanced_dialog = SIRAdvancedDialog()
        elif model == 'SEIR':
            self.advanced_dialog = SEIRAdvancedDialog()
        elif model == 'SIRS':
            self.advanced_dialog = SIRSAdvancedDialog()
        if self.advanced_dialog:
            self.advanced_dialog.show()
            self.advanced_dialog.button_box.accepted.connect(
                self.set_options_model)
        else:
            self.view.options_group_box.show_notification(Notification.NO_MODEL)

    def update_input_model(self):
        """Updates the *InputModel* with information from *InputGroupBox*.

        :returns: success of update
        :rtype: True/False
        """
        view = self.view.input_group_box
        model = self.model.input_model

        if not model.file_content:
            view.show_notification(Notification.NO_FILE)
            return False

        model.data_percentage = view.get_data_percentage()

        date_col_title = view.get_selected_date_cb_text()
        data_col_title = view.get_selected_data_cb_text()
        if date_col_title == data_col_title:
            view.show_notification(Notification.SAME_DATE_DATA)
            return False
        model.date_col_title = date_col_title
        model.data_col_title = data_col_title

        data_range = str(view.get_data_range())
        if not data_range or data_range.startswith(':'):
            view.show_notification(Notification.NO_DATA_RANGE)
            return False
        from_value = int(data_range.split(":")[0])
        to_value = int(data_range.split(":")[1])
        if to_value < from_value or to_value > model.file_length:
            view.show_notification(Notification.INVALID_DATA_RANGE)
            return False
        model.data_range = data_range

        population = view.get_population()
        if not population:
            view.show_notification(Notification.NO_POPULATION)
            return False
        model.population = population
        return True

    def update_options_model(self):
        """Update the *OptionsModel* with information from
        *OptionsGroupBox*.

        :returns: success of update
        :rtype: True/False
        """
        view = self.view.options_group_box
        model = self.model.options_model
        parameters = view.get_model_parameters()
        if not parameters:
            view.show_notification(Notification.NO_MODEL)
            return False
        model.epidemic_model_parameters = parameters
        model.with_parameters = view.parameters_check_box.isChecked()
        return True

# -*- coding: utf-8 -*- This class represents the controller of *SideBarWidget*.      :param: parent: the parent controller     :type parent: *MainWindowController*      :returns: an instance of *SideBarController* Shows an open file dialog and update the *InputGroupBox* with         information from selected CSV file. Scanned data *InputModel*         will be save in *InputModel*. # no file was selected, do nothing # Default # Default # Default Starts the fitting process by collectoing information from         *InputGroupBox* and *OptionsGroupBox*. Information will triggered         to *epipylib.core.fit*. # Do nothing # Do nothing # X-axis = time # Y-axis = infected individual # Try to convert dates into a valid format # Can not convert dates # Convert dates Resets *SideBarWidget* and create new *SideBarModel*. Sets selected epidemic model information from *AdvancedDialog*. Shows the *AdvancedDialog* based on selected epidemic model from         *OptionsGroupBox*. Updates the *InputModel* with information from *InputGroupBox*.          :returns: success of update         :rtype: True/False Update the *OptionsModel* with information from         *OptionsGroupBox*.          :returns: success of update         :rtype: True/False