import dataclasses
import urllib.parse
from dataclasses import dataclass
from typing import Annotated, Any, TypedDict

from fansifter_common.exceptions import Error
from pydantic import BaseModel, BeforeValidator, Json, TypeAdapter

from email_campaigns.api.schemas import CustomFont


@dataclass(kw_only=True)
class EmailPreview:
    id: str
    name: str
    subject: str | None
    preview_text: str | None
    sender_name: str | None
    html: str | None
    css: str | None
    custom_fonts: list[CustomFont] | None = dataclasses.field(default=None)
    favorite_fonts: list[CustomFont] | None = dataclasses.field(default=None)


@dataclass(kw_only=True)
class EmailContentErrorSummary:
    sender_name: Error | None = None
    subject: Error | None = None
    email_domain_id: Error | None = None
    email_username: Error | None = None
    html_content: Error | None = None


class EmailAnalytics(BaseModel):
    campaign_id: str
    email_id: str
    email_type: str
    sends: int
    delivered: int
    opens: int
    clicks: int
    unique_opens: int
    unique_clicks: int
    bounces: int
    spam_complaints: int
    unsubscribes: int
    open_rate: float
    delivered_rate: float
    click_through_rate: float
    click_to_open_rate: float
    bounce_rate: float
    spam_complaints_rate: float
    unsubscribe_rate: float
    unique_clicks_dropoff: float | None
    unique_opens_dropoff: float | None
    bounce_rate_change: float | None
    spam_complaints_rate_change: float | None
    unsubscribe_rate_change: float | None
    open_rate_change: float | None
    delivered_rate_change: float | None
    unique_clicks_change: float | None
    click_through_rate_change: float | None
    click_to_open_rate_change: float | None


EmailAnalyticsList = TypeAdapter(list[EmailAnalytics])


class EmailReportingAnalytics(TypedDict):
    sends: int
    delivered: int
    opens: int
    clicks: int
    bounces: int
    spam_complaints: int
    unsubscribes: int
    open_rate: float
    delivered_rate: float
    click_through_rate: float
    click_to_open_rate: float
    bounce_rate: float
    spam_complaints_rate: float
    unsubscribe_rate: float


EmailReportingAnalyticsAdapter = TypeAdapter(EmailReportingAnalytics)


class EmailLinkAnalytics(TypedDict):
    url: str
    total_clicks: int
    unique_clicks: int
    percentage_of_total_clicks: float


class EmailReportingLinkAnalytics(TypedDict):
    url: str
    total_clicks: int
    percentage_of_total_clicks: float


EmailReportingLinkAnalyticsList = TypeAdapter(list[EmailReportingLinkAnalytics])


EmailLinkAnalyticsList = TypeAdapter(list[EmailLinkAnalytics])


class EmailSalesAnalytics(TypedDict):
    orders_count: int
    items_sold: int
    net_sales_usd: float
    gross_sales_usd: float
    discounts_usd: float
    taxes_usd: float
    shipping_usd: float
    refunds_usd: float
    average_units_per_order: float
    average_order_amount: float
    first_time_buyer_rate: float


EmailSalesAnalyticsAdapter = TypeAdapter(EmailSalesAnalytics)


class EmailSalesProductAnalytics(TypedDict):
    product_title: str | None
    product_type: str | None
    items_sold: int
    net_sales_usd: float
    chart_eligible: bool


EmailSalesProductAnalyticsList = TypeAdapter(list[EmailSalesProductAnalytics])


class EmailSalesLocationAnalytics(TypedDict):
    country_code: str | None
    items_sold: int
    net_sales_usd: float
    sales_rate: float


EmailSalesLocationAnalyticsList = TypeAdapter(list[EmailSalesLocationAnalytics])


class EmailSalesShopAnalytics(TypedDict):
    shop_name: str
    items_sold: int
    net_sales_usd: float


EmailSalesShopAnalyticsList = TypeAdapter(list[EmailSalesShopAnalytics])


UrlEncodedJson = Annotated[
    Json[dict[str, Any]],
    BeforeValidator(urllib.parse.unquote),
]