"""Request and response models.

Only `source` is mandatory. Everything else has a working default so that
{"source": {"url": "..."}} produces a usable PDF.
"""

from __future__ import annotations

from datetime import datetime
from typing import Literal

from pydantic import BaseModel, Field, model_validator

from .config import get_settings

EngineName = Literal["auto", "weasyprint", "chromium"]
PagePosition = Literal[
    "top-left", "top-center", "top-right",
    "bottom-left", "bottom-center", "bottom-right",
]
JobStatus = Literal["queued", "running", "done", "failed", "cancelled", "expired"]


class Source(BaseModel):
    url: str | None = Field(default=None, description="Adresa HTML dokumentu ke konverzi.")
    html: str | None = Field(default=None, description="HTML poslane primo v tele requestu.")
    base_url: str | None = Field(
        default=None,
        description="Zaklad pro relativni cesty. Pouziva se hlavne spolu s polem html.",
    )

    @model_validator(mode="after")
    def exactly_one_source(self) -> "Source":
        if bool(self.url) == bool(self.html):
            raise ValueError("Vyplnte prave jedno z poli source.url a source.html.")
        return self


class Margin(BaseModel):
    top: str = "20mm"
    right: str = "15mm"
    bottom: str = "20mm"
    left: str = "15mm"


class PageSettings(BaseModel):
    format: str = Field(default="A4", description="Nazev formatu (A4, A5, Letter) nebo rozmer 210mm 297mm.")
    orientation: Literal["portrait", "landscape"] = "portrait"
    margin: Margin = Field(default_factory=Margin)


class PageNumbers(BaseModel):
    enabled: bool = False
    format: str = Field(default="{page} / {pages}", description="Zastupne symboly {page} a {pages}.")
    position: PagePosition = "bottom-center"
    mode: Literal["auto", "css", "overlay"] = Field(
        default="auto",
        description=(
            "auto zvoli css u necleneneho dokumentu a overlay u clenene nebo u Chromia. "
            "css pouziva CSS countery, overlay dopisuje cisla do hotoveho PDF."
        ),
    )
    start_at: int = 1


class TocSettings(BaseModel):
    enabled: bool = False
    depth: int = Field(default=3, ge=1, le=6)
    title: str = "Obsah"


class AssetSettings(BaseModel):
    allow_remote: bool = True
    timeout_seconds: int = Field(default_factory=lambda: get_settings().asset_timeout_seconds, ge=1)


class ChunkSettings(BaseModel):
    enabled: bool = True
    pages_per_chunk: int = Field(default=50, ge=1)


class WaitFor(BaseModel):
    """Chromium only. Ignored by the WeasyPrint engine."""

    state: Literal["load", "domcontentloaded", "networkidle"] = "load"
    selector: str | None = None
    timeout_seconds: int = Field(default=30, ge=1)


class ConvertRequest(BaseModel):
    source: Source
    engine: EngineName = Field(default_factory=lambda: get_settings().default_engine)  # type: ignore[arg-type]
    page: PageSettings = Field(default_factory=PageSettings)
    page_numbers: PageNumbers = Field(default_factory=PageNumbers)
    toc: TocSettings = Field(default_factory=TocSettings)
    outline: bool = Field(default=True, description="Generovat zalozky PDF z nadpisu h1 az h6.")
    pdf_profile: Literal["pdf/a-1b", "pdf/a-2b", "pdf/a-3b", "pdf/a-4b", "pdf/ua-1"] | None = None
    assets: AssetSettings = Field(default_factory=AssetSettings)
    chunking: ChunkSettings = Field(default_factory=ChunkSettings)
    wait_for: WaitFor = Field(default_factory=WaitFor)
    filename: str | None = Field(default=None, description="Nazev souboru ve Content-Disposition.")
    callback_url: str | None = Field(
        default=None,
        description="Volitelna adresa, na kterou se po dokonceni jobu posle POST se stavem jobu.",
    )

    model_config = {
        "json_schema_extra": {
            "examples": [
                {"source": {"url": "https://example.com/dokument.html"}},
                {
                    "source": {"url": "https://example.com/velky-dokument.html"},
                    "engine": "weasyprint",
                    "page": {"format": "A4", "orientation": "portrait"},
                    "page_numbers": {"enabled": True, "format": "{page} / {pages}"},
                    "toc": {"enabled": True, "depth": 3, "title": "Obsah"},
                    "chunking": {"enabled": True, "pages_per_chunk": 50},
                },
            ]
        }
    }


class MissingAsset(BaseModel):
    url: str
    reason: str


class JobProgress(BaseModel):
    pages_rendered: int = 0
    chunks_done: int = 0
    chunks_total: int = 0
    pass_number: int = 0


class ErrorInfo(BaseModel):
    error_code: str
    message: str
    detail: dict | None = None


class JobState(BaseModel):
    job_id: str
    status: JobStatus
    created_at: datetime
    started_at: datetime | None = None
    finished_at: datetime | None = None
    expires_at: datetime | None = None
    progress: JobProgress = Field(default_factory=JobProgress)
    engine_used: str | None = None
    page_count: int | None = None
    missing_assets: list[MissingAsset] = Field(default_factory=list)
    warnings: list[str] = Field(default_factory=list)
    error: ErrorInfo | None = None
    result_url: str | None = None


class JobAccepted(BaseModel):
    job_id: str
    status: JobStatus
    created_at: datetime
    result_url: str


class HealthResponse(BaseModel):
    status: Literal["ok", "degraded"]
    app: str
    version: str
    engines: dict[str, bool]
    queue: dict[str, int]