import json
import random
from functools import lru_cache

from django.contrib.humanize.templatetags.humanize import intcomma
from django.utils.safestring import mark_safe
from django.utils.translation import gettext_lazy as _
from django.views.generic import RedirectView, TemplateView
from unfold.views import UnfoldModelAdminViewMixin
from order.models import OrderModel
class HomeView(RedirectView):
    pattern_name = "admin:index"




def dashboard_callback(request, context):
    pending_count = OrderModel.objects.filter(status='ADMIN_PENDING').count()
    context.update(random_data())
    context.update({'pending_count': pending_count})
    return context


@lru_cache
def random_data():
    WEEKDAYS = [
        "Mon",
        "Tue",
        "Wed",
        "Thu",
        "Fri",
        "Sat",
        "Sun",
    ]

    positive = [[1, random.randrange(8, 28)] for i in range(1, 28)]
    negative = [[-1, -random.randrange(8, 28)] for i in range(1, 28)]
    average = [r[1] - random.randint(3, 5) for r in positive]
    performance_positive = [[1, random.randrange(8, 28)] for i in range(1, 28)]
    performance_negative = [[-1, -random.randrange(8, 28)] for i in range(1, 28)]

    response =  {
        "navigation": [
            {"title": _("Dashboard"), "link": "/", "active": True},
            {"title": _("Products"), "link": "/admin/product/productmodel/"},
            {"title": _("Orders"), "link": "/admin/order/ordermodel/"},
        ],
        "kpi": [
            {
                "title": "IPhone 16 Pro Max",
                "metric": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "footer": mark_safe(
                    f'<strong class="text-green-700 font-semibold dark:text-green-400">+{intcomma(f"{random.uniform(1, 9):.02f}")}%</strong>&nbsp;progress from last week'
                ),
                "chart": json.dumps(
                    {
                        "labels": [WEEKDAYS[day % 7] for day in range(1, 28)],
                        "datasets": [{"data": average, "borderColor": "#9333ea"}],
                    }
                ),
            },
            {
                "title": "Macbook Pro M3",
                "metric": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "footer": mark_safe(
                    f'<strong class="text-green-700 font-semibold dark:text-green-400">+{intcomma(f"{random.uniform(1, 9):.02f}")}%</strong>&nbsp;progress from last week'
                ),
            },
            {
                "title": "Apple Watch 8",
                "metric": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "footer": mark_safe(
                    f'<strong class="text-green-700 font-semibold dark:text-green-400">+{intcomma(f"{random.uniform(1, 9):.02f}")}%</strong>&nbsp;progress from last week'
                ),
            },
        ],
        "progress": [
{
        "title": "📱 Phone and Mobile",
        "description": "$2,499.99",
        "value": 20,
    },
    {
        "title": "⌚ Watch and Smart Watch",
        "description": "$1,799.49",
        "value": 60,
    },
    {
        "title": "💻 Laptop and Mac Book",
        "description": "$3,499.99",
        "value": 85,
    },
    {
        "title": "📹 Camera and Video Recorder",
        "description": "$2,299.99",
        "value": 50,
    },
    {
        "title": "📷 Camera and Picture Capture",
        "description": "$1,799.00",
        "value": 10,
    },
    {
        "title": "📚 Course Sales and Learning",
        "description": "$1,299.49",
        "value": 20,
    },
    {
        "title": "📈 Ads Revenue and Marketing",
        "description": "$3,199.99",
        "value": 90,
    },
    {
        "title": "📊 Customer Retention and Engagement",
        "description": "$1,649.00",
        "value": 80,
    },
    {
        "title": "📣 Marketing ROI and Campaigns",
        "description": "$2,199.75",
        "value": 45,
    },
    {
        "title": "🤝 Affiliate Partnerships and Collaborations",
        "description": "$2,899.95",
        "value": 78,
    },
        ],
        "chart": json.dumps(
            {
                "labels": [WEEKDAYS[day % 7] for day in range(1, 28)],
                "datasets": [
                    {
                        "label": "Example 1",
                        "type": "line",
                        "data": average,
                        "borderColor": "var(--color-primary-500)",
                    },
                    {
                        "label": "Example 2",
                        "data": positive,
                        "backgroundColor": "var(--color-primary-700)",
                    },
                    {
                        "label": "Example 3",
                        "data": negative,
                        "backgroundColor": "var(--color-primary-300)",
                    },
                ],
            }
        ),
        "performance": [
            {
                "title": _("Last week revenue"),
                "metric": "$1,234.56",
                "footer": mark_safe(
                    '<strong class="text-green-600 font-medium">+3.14%</strong>&nbsp;progress from last week'
                ),
                "chart": json.dumps(
                    {
                        "labels": [WEEKDAYS[day % 7] for day in range(1, 28)],
                        "datasets": [
                            {
                                "data": performance_positive,
                                "borderColor": "var(--color-primary-700)",
                            }
                        ],
                    }
                ),
            },
            {
                "title": _("Last week expenses"),
                "metric": "$1,234.56",
                "footer": mark_safe(
                    '<strong class="text-green-600 font-medium">+3.14%</strong>&nbsp;progress from last week'
                ),
                "chart": json.dumps(
                    {
                        "labels": [WEEKDAYS[day % 7] for day in range(1, 28)],
                        "datasets": [
                            {
                                "data": performance_negative,
                                "borderColor": "var(--color-primary-300)",
                            },
                        ],
                    }
                ),
            },
        ],
    }
    return response