#
# This file is part of pretix (Community Edition).
#
# Copyright (C) 2014-2020 Raphael Michel and contributors
# Copyright (C) 2020-2021 rami.io GmbH and contributors
#
# This program is free software: you can redistribute it and/or modify it under the terms of the GNU Affero General
# Public License as published by the Free Software Foundation in version 3 of the License.
#
# ADDITIONAL TERMS APPLY: Pursuant to Section 7 of the GNU Affero General Public License, additional terms are
# applicable granting you additional permissions and placing additional restrictions on your usage of this software.
# Please refer to the pretix LICENSE file to obtain the full terms applicable to this work. If you did not receive
# this file, see <https://pretix.eu/about/en/license>.
#
# This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied
# warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU Affero General Public License for more
# details.
#
# You should have received a copy of the GNU Affero General Public License along with this program.  If not, see
# <https://www.gnu.org/licenses/>.
#

# This file is based on an earlier version of pretix which was released under the Apache License 2.0. The full text of
# the Apache License 2.0 can be obtained at <http://www.apache.org/licenses/LICENSE-2.0>.
#
# This file may have since been changed and any changes are released under the terms of AGPLv3 as described above. A
# full history of changes and contributors is available at <https://github.com/pretix/pretix>.
#
# This file contains Apache-licensed contributions copyrighted by: Tobias Kunze
#
# Unless required by applicable law or agreed to in writing, software distributed under the Apache License 2.0 is
# distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
# License for the specific language governing permissions and limitations under the License.

import datetime
import json
from decimal import Decimal

import dateutil.parser
import dateutil.rrule
from django.db.models import Count, DateTimeField, Max, Min, OuterRef, Subquery
from django.utils import timezone
from django.views.generic import TemplateView

from pretix.base.models import (
    Item, Order, OrderPayment, OrderPosition, SubEvent,
)
from pretix.control.permissions import EventPermissionRequiredMixin
from pretix.control.views import ChartContainingView
from pretix.plugins.statistics.signals import clear_cache


class IndexView(EventPermissionRequiredMixin, ChartContainingView, TemplateView):
    template_name = 'pretixplugins/statistics/index.html'
    permission = 'can_view_orders'

    def get_context_data(self, **kwargs):
        ctx = super().get_context_data(**kwargs)
        tz = timezone.get_current_timezone()

        if 'latest' in self.request.GET:
            clear_cache(self.request.event)

        subevent = None
        if self.request.GET.get("subevent", "") != "" and self.request.event.has_subevents:
            i = self.request.GET.get("subevent", "")
            try:
                subevent = self.request.event.subevents.get(pk=i)
            except SubEvent.DoesNotExist:
                pass

        cache = self.request.event.cache
        ckey = str(subevent.pk) if subevent else 'all'

        p_date = OrderPayment.objects.filter(
            order=OuterRef('pk'),
            state__in=(OrderPayment.PAYMENT_STATE_CONFIRMED, OrderPayment.PAYMENT_STATE_REFUNDED),
            payment_date__isnull=False
        ).values('order').annotate(
            m=Max('payment_date')
        ).values(
            'm'
        ).order_by()
        op_date = OrderPayment.objects.filter(
            order=OuterRef('order'),
            state__in=(OrderPayment.PAYMENT_STATE_CONFIRMED, OrderPayment.PAYMENT_STATE_REFUNDED),
            payment_date__isnull=False
        ).values('order').annotate(
            m=Max('payment_date')
        ).values(
            'm'
        ).order_by()

        # Orders by day
        ctx['obd_data'] = cache.get('statistics_obd_data' + ckey)
        if not ctx['obd_data']:
            oqs = Order.objects.annotate(payment_date=Subquery(p_date, output_field=DateTimeField()))
            if subevent:
                oqs = oqs.filter(all_positions__subevent_id=subevent, all_positions__canceled=False).distinct()

            ordered_by_day = {}
            for o in oqs.filter(event=self.request.event).values('datetime'):
                day = o['datetime'].astimezone(tz).date()
                ordered_by_day[day] = ordered_by_day.get(day, 0) + 1
            paid_by_day = {}
            for o in oqs.filter(event=self.request.event, payment_date__isnull=False).values('payment_date'):
                day = o['payment_date'].astimezone(tz).date()
                paid_by_day[day] = paid_by_day.get(day, 0) + 1

            data = []
            for d in dateutil.rrule.rrule(
                    dateutil.rrule.DAILY,
                    dtstart=min(ordered_by_day.keys()) if ordered_by_day else datetime.date.today(),
                    until=max(
                        max(ordered_by_day.keys() if paid_by_day else [datetime.date.today()]),
                        max(paid_by_day.keys() if paid_by_day else [datetime.date(1970, 1, 1)])
                    )):
                d = d.date()
                data.append({
                    'date': d.strftime('%Y-%m-%d'),
                    'ordered': ordered_by_day.get(d, 0),
                    'paid': paid_by_day.get(d, 0)
                })

            ctx['obd_data'] = json.dumps(data)
            cache.set('statistics_obd_data' + ckey, ctx['obd_data'])

        # Orders by product
        ctx['obp_data'] = cache.get('statistics_obp_data' + ckey)
        if not ctx['obp_data']:
            opqs = OrderPosition.objects
            if subevent:
                opqs = opqs.filter(subevent=subevent)
            num_ordered = {
                p['item']: p['cnt']
                for p in (opqs
                          .filter(order__event=self.request.event)
                          .values('item')
                          .annotate(cnt=Count('id')).order_by())
            }
            num_paid = {
                p['item']: p['cnt']
                for p in (opqs
                          .filter(order__event=self.request.event, order__status=Order.STATUS_PAID)
                          .values('item')
                          .annotate(cnt=Count('id')).order_by())
            }
            item_names = {
                i.id: str(i)
                for i in Item.objects.filter(event=self.request.event)
            }
            ctx['obp_data'] = json.dumps([
                {
                    'item': item_names[item],
                    'item_short': item_names[item] if len(item_names[item]) < 15 else (item_names[item][:15] + "…"),
                    'ordered': cnt,
                    'paid': num_paid.get(item, 0)
                } for item, cnt in num_ordered.items()
            ])
            cache.set('statistics_obp_data' + ckey, ctx['obp_data'])

        ctx['rev_data'] = cache.get('statistics_rev_data' + ckey)
        if not ctx['rev_data']:
            rev_by_day = {}
            if subevent:
                for o in OrderPosition.objects.annotate(
                        payment_date=Subquery(op_date, output_field=DateTimeField())
                ).filter(order__event=self.request.event,
                         subevent=subevent,
                         order__status=Order.STATUS_PAID,
                         payment_date__isnull=False).values('payment_date', 'price'):
                    day = o['payment_date'].astimezone(tz).date()
                    rev_by_day[day] = rev_by_day.get(day, 0) + o['price']
            else:
                for o in Order.objects.annotate(
                        payment_date=Subquery(p_date, output_field=DateTimeField())
                ).filter(event=self.request.event,
                         status=Order.STATUS_PAID,
                         payment_date__isnull=False).values('payment_date', 'total'):
                    day = o['payment_date'].astimezone(tz).date()
                    rev_by_day[day] = rev_by_day.get(day, 0) + o['total']

            data = []
            total = 0
            for d in dateutil.rrule.rrule(
                    dateutil.rrule.DAILY,
                    dtstart=min(rev_by_day.keys() if rev_by_day else [datetime.date.today()]),
                    until=max(rev_by_day.keys() if rev_by_day else [datetime.date.today()])):
                d = d.date()
                total += float(rev_by_day.get(d, 0))
                data.append({
                    'date': d.strftime('%Y-%m-%d'),
                    'revenue': round(total, 2),
                })
            ctx['rev_data'] = json.dumps(data)
            cache.set('statistics_rev_data' + ckey, ctx['rev_data'])

        ctx['has_orders'] = self.request.event.orders.exists()

        ctx['seats'] = {}

        if not self.request.event.has_subevents or (ckey != "all" and subevent):
            ev = subevent or self.request.event
            if ev.seating_plan_id is not None:
                seats_qs = ev.free_seats(sales_channel=None, include_blocked=True)
                ctx['seats']['blocked_seats'] = seats_qs.filter(blocked=True).count()
                ctx['seats']['free_seats'] = seats_qs.filter(blocked=False).count()
                ctx['seats']['purchased_seats'] = \
                    ev.seats.count() - ctx['seats']['blocked_seats'] - ctx['seats']['free_seats']

                seats_qs = seats_qs.values('product', 'blocked').annotate(count=Count('id'))\
                    .order_by('product__category__position', 'product__position', 'product', 'blocked')

                ctx['seats']['products'] = {}
                ctx['seats']['stats'] = {}
                item_cache = {i.pk: i for i in
                              self.request.event.items.annotate(has_variations=Count('variations')).filter(
                                  pk__in={p['product'] for p in seats_qs if p['product']}
                              )}
                item_cache[None] = None

                for item in seats_qs:
                    product = item_cache[item['product']]
                    if item_cache[item['product']] not in ctx['seats']['products']:
                        price = None
                        if product and product.has_variations:
                            price = product.variations.filter(
                                active=True
                            ).aggregate(Min('default_price'))['default_price__min']
                        if product and not price:
                            price = product.default_price
                        if not price:
                            price = Decimal('0.00')

                        ctx['seats']['products'][product] = {
                            'free': {
                                'seats': 0,
                                'potential': Decimal('0.00'),
                            },
                            'blocked': {
                                'seats': 0,
                                'potential': Decimal('0.00'),
                            },
                            'price': price,
                        }
                    data = ctx['seats']['products'][product]

                    if item['blocked']:
                        data['blocked']['seats'] = item['count']
                        data['blocked']['potential'] = item['count'] * data['price']
                    else:
                        data['free']['seats'] = item['count']
                        data['free']['potential'] = item['count'] * data['price']

        return ctx