import logging
from flask.ext.babelpkg import lazy_gettext
from .widgets import ChartWidget, DirectChartWidget, MultipleChartWidget
from .jsontools import dict_to_json
from ..widgets import SearchWidget
from ..security.decorators import has_access
from ..baseviews import BaseModelView, expose
from ..urltools import *
from ..models.group import GroupByProcessData, DirectProcessData

log = logging.getLogger(__name__)


class BaseChartView(BaseModelView):
    """
        This is the base class for all chart views. 
        Use SimpleByChartView or GroupByChartView, override their properties and these
        to customise your charts
    """

    chart_template = 'appbuilder/general/charts/chart.html'
    """ The chart template, override to implement your own """
    chart_widget = ChartWidget
    """ Chart widget override to implement your own """
    search_widget = SearchWidget
    """ Search widget override to implement your own """

    chart_title = 'Chart'
    """ A title to be displayed on the chart """
    title = 'Title'

    group_by_label = lazy_gettext('Group by')
    """ The label that is displayed for the chart selection """

    default_view = 'chart'

    chart_type = 'PieChart'
    """ The chart type PieChart, ColumnChart, LineChart """
    chart_3d = 'true'
    """ Will display in 3D? """
    width = 400
    """ The width """
    height = '400px'

    group_bys = {}
    """ New for 0.6.4, on test, don't use yet """


    def __init__(self, **kwargs):
        self._init_titles()
        super(BaseModelView, self).__init__(**kwargs)


    def _init_titles(self):
        self.title = self.chart_title

    def _get_chart_widget(self, filters=None,
                          widgets=None, **args):
        pass

    def _get_view_widget(self, **kwargs):
        """
            :return:
                Returns a widget
        """
        return self._get_chart_widget(**kwargs).get('chart')


class BaseSimpleGroupByChartView(BaseChartView):
    group_by_columns = []
    """ A list of columns to be possibly grouped by, this list must be filled """

    def __init__(self, **kwargs):
        if not self.group_by_columns:
            raise Exception('Base Chart View property <group_by_columns> must not be empty')
        else:
            super(BaseChartView, self).__init__(**kwargs)

    def _get_chart_widget(self, filters=None,
                          order_column='',
                          order_direction='',
                          widgets=None,
                          group_by=None,
                          height=None,
                          **args):

        height = height or self.height
        widgets = widgets or dict()
        group_by = group_by or self.group_by_columns[0]
        joined_filters = filters.get_joined_filters(self._base_filters)
        value_columns = self.datamodel.query_simple_group(group_by, filters=joined_filters)

        widgets['chart'] = self.chart_widget(route_base=self.route_base,
                                             chart_title=self.chart_title,
                                             chart_type=self.chart_type,
                                             chart_3d=self.chart_3d,
                                             height=height,
                                             value_columns=value_columns, **args)
        return widgets


class BaseSimpleDirectChartView(BaseChartView):
    direct_columns = []
    """
        Make chart using the column on the dict
        chart_columns = {'chart label 1':('X column','Y1 Column','Y2 Column, ...),
                        'chart label 2': ('X Column','Y1 Column',...),...}
    """

    def __init__(self, **kwargs):
        if not self.direct_columns:
            raise Exception('Base Chart View property <direct_columns> must not be empty')
        else:
            super(BaseChartView, self).__init__(**kwargs)


    def get_group_by_columns(self):
        """
            returns the keys from direct_columns
            Used in template, so that user can choose from options
        """
        return list(self.direct_columns.keys())

    def _get_chart_widget(self, filters=None,
                          order_column='',
                          order_direction='',
                          widgets=None,
                          direct=None,
                          height=None,
                          **args):

        height = height or self.height
        widgets = widgets or dict()
        joined_filters = filters.get_joined_filters(self._base_filters)
        count, lst = self.datamodel.query(filters=joined_filters,
                                          order_column=order_column,
                                          order_direction=order_direction)
        value_columns = self.datamodel.get_values(lst, list(direct))
        value_columns = dict_to_json(direct[0], direct[1:], self.label_columns, value_columns)

        widgets['chart'] = self.chart_widget(route_base=self.route_base,
                                             chart_title=self.chart_title,
                                             chart_type=self.chart_type,
                                             chart_3d=self.chart_3d,
                                             height=height,
                                             value_columns=value_columns, **args)
        return widgets


class GroupByChartView(BaseChartView):

    definitions = []
    """
        These charts can display multiple series,
        based on columns or methods defined on models.
        You can display multiple charts on the same view.
        This data can be grouped and aggregated has you like.

        :label: (optional) String label to display on chart selection.
        :group: String with the column name or method from model.
        :formatter: (optional) function that formats the output of 'group' key
        :series: A list of tuples with the aggregation function and the column name
                to apply the aggregation

        ::

            [{
                'label': 'String',
                'group': '<COLNAME>'|'<FUNCNAME>'
                'formatter: <FUNC>
                'series': [(<AGGR FUNC>, <COLNAME>|'<FUNCNAME>'),...]
                }
            ]

        example::

            class CountryGroupByChartView(GroupByChartView):
                datamodel = SQLAModel(CountryStats)
                chart_title = 'Statistics'

            definitions = [
                {
                    'label': 'Country Stat',
                    'group': 'country',
                    'series': [(aggregate_avg, 'unemployed_perc'),
                           (aggregate_avg, 'population'),
                           (aggregate_avg, 'college_perc')
                          ]
                }
            ]

    """
    chart_type = 'ColumnChart'
    chart_template = 'appbuilder/general/charts/jsonchart.html'
    chart_widget = DirectChartWidget
    ProcessClass = GroupByProcessData

    def __init__(self, **kwargs):
        super(BaseChartView, self).__init__(**kwargs)
        for definition in self.definitions:
            col = definition.get('group')
            try:
                self.label_columns[col] = definition.get('label') or self.label_columns[col]
            except Exception:
                self.label_columns[col] = self._prettify_column(col)
            if not definition.get('label'):
                definition['label'] = self.label_columns[col]
            for serie in definition['series']:
                if isinstance(serie, tuple):
                    if hasattr(serie[0], '_label'):
                        key = serie[0].__name__ + serie[1]
                        self.label_columns[key] = \
                            serie[0]._label + ' ' + self._prettify_column(serie[1])
                else:
                    self.label_columns[serie] = self._prettify_column(serie)



    def get_group_by_class(self, definition):
        group_by = definition['group']
        series = definition['series']
        if 'formatter' in definition:
            formatter = {group_by: definition['formatter']}
        else:
            formatter = {}
        return self.ProcessClass([group_by], series, formatter)


    def _get_chart_widget(self, filters=None,
                          order_column='',
                          order_direction='',
                          widgets=None,
                          direct=None,
                          height=None,
                          definition='',
                          **args):

        height = height or self.height
        widgets = widgets or dict()
        joined_filters = filters.get_joined_filters(self._base_filters)
        count, lst = self.datamodel.query(filters=joined_filters,
                                          order_column=order_column,
                                          order_direction=order_direction)
        if not definition:
            definition = self.definitions[0]
        group = self.get_group_by_class(definition)
        value_columns = group.to_json(group.apply(lst), self.label_columns)
        widgets['chart'] = self.chart_widget(route_base=self.route_base,
                                             chart_title=self.chart_title,
                                             chart_type=self.chart_type,
                                             chart_3d=self.chart_3d,
                                             height=height,
                                             value_columns=value_columns, **args)
        return widgets

    @expose('/chart/<group_by>')
    @expose('/chart/')
    @has_access
    def chart(self, group_by=0):
        group_by = int(group_by)
        form = self.search_form.refresh()
        get_filter_args(self._filters)
        widgets = self._get_chart_widget(filters=self._filters,
                                         definition=self.definitions[group_by])
        widgets = self._get_search_widget(form=form, widgets=widgets)

        return self.render_template(self.chart_template, route_base=self.route_base,
                               title=self.chart_title,
                               label_columns=self.label_columns,
                               definitions=self.definitions,
                               group_by_label=self.group_by_label,
                               height=self.height,
                               widgets=widgets,
                               appbuilder=self.appbuilder)


class DirectByChartView(GroupByChartView):
    """
        Use this class to display charts with multiple series,
        based on columns or methods defined on models.
        You can display multiple charts on the same view.

        Default routing point is '/chart'

        Setup definitions property to configure the chart

        :label: (optional) String label to display on chart selection.
        :group: String with the column name or method from model.
        :formatter: (optional) function that formats the output of 'group' key
        :series: A list of tuples with the aggregation function and the column name
                to apply the aggregation

        The **definitions** property respects the following grammar:

            definitions = [
                    {
                     'label': 'label for chart definition',
                     'group': '<COLNAME>'|'<MODEL FUNCNAME>',
                     'formatter': <FUNC FORMATTER FOR GROUP COL>,
                     'series': ['<COLNAME>'|'<MODEL FUNCNAME>',...]
                    }, ...
                  ]

        example::

            class CountryDirectChartView(DirectByChartView):
                datamodel = SQLAModel(CountryStats)
                chart_title = 'Direct Data Example'

                definitions = [
                    {
                        'label': 'Unemployment',
                        'group': 'stat_date',
                        'series': ['unemployed_perc',
                            'college_perc']
                    }
                ]

    """
    ProcessClass = DirectProcessData


class ChartView(BaseSimpleGroupByChartView):
    """
        **DEPRECATED**

        Provides a simple (and hopefully nice) way to draw charts on your application.

        This will show Google Charts based on group by of your tables.                
    """

    @expose('/chart/<group_by>')
    @expose('/chart/')
    @has_access
    def chart(self, group_by=''):
        form = self.search_form.refresh()
        get_filter_args(self._filters)

        group_by = group_by or self.group_by_columns[0]

        widgets = self._get_chart_widget(filters=self._filters, group_by=group_by)
        widgets = self._get_search_widget(form=form, widgets=widgets)
        return self.render_template(self.chart_template, route_base=self.route_base,
                               title=self.chart_title,
                               label_columns=self.label_columns,
                               group_by_columns=self.group_by_columns,
                               group_by_label=self.group_by_label,
                               height=self.height,
                               widgets=widgets,
                               appbuilder=self.appbuilder)


class TimeChartView(BaseSimpleGroupByChartView):
    """
        **DEPRECATED**

        Provides a simple way to draw some time charts on your application.

        This will show Google Charts based on count and group by month and year for your tables.
    """

    chart_template = 'appbuilder/general/charts/chart_time.html'
    chart_type = 'ColumnChart'


    def _get_chart_widget(self, filters=None,
                          order_column='',
                          order_direction='',
                          widgets=None,
                          group_by=None,
                          period=None,
                          height=None,
                          **args):

        height = height or self.height
        widgets = widgets or dict()
        group_by = group_by or self.group_by_columns[0]
        joined_filters = filters.get_joined_filters(self._base_filters)

        if period == 'month' or not period:
            value_columns = self.datamodel.query_month_group(group_by, filters=joined_filters)
        elif period == 'year':
            value_columns = self.datamodel.query_year_group(group_by, filters=joined_filters)

        widgets['chart'] = self.chart_widget(route_base=self.route_base,
                                             chart_title=self.chart_title,
                                             chart_type=self.chart_type,
                                             chart_3d=self.chart_3d,
                                             height=height,
                                             value_columns=value_columns, **args)
        return widgets


    @expose('/chart/<group_by>/<period>')
    @expose('/chart/')
    @has_access
    def chart(self, group_by='', period=''):
        form = self.search_form.refresh()
        get_filter_args(self._filters)

        group_by = group_by or self.group_by_columns[0]

        widgets = self._get_chart_widget(filters=self._filters,
                                         group_by=group_by,
                                         period=period,
                                         height=self.height)

        widgets = self._get_search_widget(form=form, widgets=widgets)
        return self.render_template(self.chart_template, route_base=self.route_base,
                               title=self.chart_title,
                               label_columns=self.label_columns,
                               group_by_columns=self.group_by_columns,
                               group_by_label=self.group_by_label,
                               widgets=widgets,
                               appbuilder=self.appbuilder)


class DirectChartView(BaseSimpleDirectChartView):
    """
        **DEPRECATED**

        This class is responsible for displaying a Google chart with
        direct model values. Chart widget uses json.
        No group by is processed, example::

            class StatsChartView(DirectChartView):
                datamodel = SQLAModel(Stats)
                chart_title = lazy_gettext('Statistics')
                direct_columns = {'Some Stats': ('X_col_1', 'stat_col_1', 'stat_col_2'),
                                  'Other Stats': ('X_col2', 'stat_col_3')}

    """
    chart_type = 'ColumnChart'

    chart_widget = DirectChartWidget

    @expose('/chart/<group_by>')
    @expose('/chart/')
    @has_access
    def chart(self, group_by=''):
        form = self.search_form.refresh()
        get_filter_args(self._filters)

        direct_key = group_by or list(self.direct_columns.keys())[0]

        direct = self.direct_columns.get(direct_key)

        if self.base_order:
            order_column, order_direction = self.base_order
        else:
            order_column, order_direction = '', ''

        widgets = self._get_chart_widget(filters=self._filters,
                                         order_column=order_column,
                                         order_direction=order_direction,
                                         direct=direct)
        widgets = self._get_search_widget(form=form, widgets=widgets)
        return self.render_template(self.chart_template, route_base=self.route_base,
                               title=self.chart_title,
                               label_columns=self.label_columns,
                               group_by_columns=self.get_group_by_columns(),
                               group_by_label=self.group_by_label,
                               height=self.height,
                               widgets=widgets,
                               appbuilder=self.appbuilder)


