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

class HomeView(RedirectView):
    pattern_name = "admin:index"




def dashboard_callback(request, context):
    
    context.update(random_data())
    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": "Product A Performance",
                "metric": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "footer": mark_safe(
                    f'<strong class="text-green-700 font-semibold dark:text-green-400">+{intcomma(f"{random.uniform(1, 9):.02f}")}%</strong>&nbsp;progress from last week'
                ),
                "chart": json.dumps(
                    {
                        "labels": [WEEKDAYS[day % 7] for day in range(1, 28)],
                        "datasets": [{"data": average, "borderColor": "#9333ea"}],
                    }
                ),
            },
            {
                "title": "Product B Performance",
                "metric": f"${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": "Product C Performance",
                "metric": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "footer": mark_safe(
                    f'<strong class="text-green-700 font-semibold dark:text-green-400">+{intcomma(f"{random.uniform(1, 9):.02f}")}%</strong>&nbsp;progress from last week'
                ),
            },
        ],
        "progress": [
            {
                "title": "🦆 Social marketing e-book",
                "description": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "value": random.randint(10, 90),
            },
            {
                "title": "🦍 Freelancing tasks",
                "description": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "value": random.randint(10, 90),
            },
            {
                "title": "🐋 Development coaching",
                "description": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "value": random.randint(10, 90),
            },
            {
                "title": "🦑 Product consulting",
                "description": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "value": random.randint(10, 90),
            },
            {
                "title": "🐨 Other income",
                "description": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "value": random.randint(10, 90),
            },
            {
                "title": "🐶 Course sales",
                "description": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "value": random.randint(10, 90),
            },
            {
                "title": "🐻‍❄️ Ads revenue",
                "description": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "value": random.randint(10, 90),
            },
            {
                "title": "🦩 Customer Retention Rate",
                "description": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "value": random.randint(10, 90),
            },
            {
                "title": "🦊 Marketing ROI",
                "description": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "value": random.randint(10, 90),
            },
            {
                "title": "🦁 Affiliate partnerships",
                "description": f"${intcomma(f"{random.uniform(1000, 9999):.02f}")}",
                "value": random.randint(10, 90),
            },
        ],
        "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