from pydantic import BaseModel, ConfigDict, Field

from app.agents.state_schema import MemoirStateSchema as MemoirStateResponse

__all__ = [
    "BookResponse",
    "ChapterDetailResponse",
    "ChapterListItemResponse",
    "CoverGenerationResponse",
    "ExportPdfRequest",
    "ExportPdfResponse",
    "ImageAssetResponse",
    "MemoirStateResponse",
    "NextQuestionContextResponse",
    "ReadingSegmentResponse",
    "SetChapterStoryOrderRequest",
    "StatusMessageResponse",
    "StoryOrderResponse",
    "UpdateBookRequest",
]


class ImageAssetResponse(BaseModel):
    placeholder: str = ""
    description: str = ""
    index: int = 0
    status: str = "pending"
    prompt: str | None = None
    url: str | None = None
    provider: str | None = None
    style: str | None = None
    size: str | None = None
    error: str | None = None
    retryable: bool | None = None
    created_at: str | None = None
    updated_at: str | None = None


class ReadingSegmentResponse(BaseModel):
    story_id: str
    body_markdown: str = ""
    cover_asset: ImageAssetResponse | None = None


class UpdateBookRequest(BaseModel):
    title: str
    subtitle: str | None = None


class ExportPdfRequest(BaseModel):
    book_id: str


class SetChapterStoryOrderRequest(BaseModel):
    """按顺序绑定本章节要收录的 stories（覆盖原有 chapter_story_links）。"""

    story_ids: list[str]


class BookResponse(BaseModel):
    id: str | None = None
    title: str | None = None
    total_pages: int | None = None
    total_words: int | None = None
    cover_image_url: str | None = None
    has_update: bool | None = None
    last_update_chapter_id: str | None = None
    message: str | None = None


class StatusMessageResponse(BaseModel):
    status: str
    message: str | None = None


class ExportPdfResponse(BaseModel):
    pdf_base64: str
    filename: str


class ChapterListItemResponse(BaseModel):
    model_config = ConfigDict(extra="ignore")

    id: str
    title: str | None = None
    category: str | None = None
    order_index: int | None = None
    status: str = "draft"
    summary: str = ""
    canonical_markdown: str = ""
    cover_asset: ImageAssetResponse | None = None
    images: list[ImageAssetResponse] = Field(default_factory=list)
    word_count: int = 0
    updated_at: str | None = None
    is_new: bool = False
    source_segments: list[str] = Field(default_factory=list)


class ChapterDetailResponse(BaseModel):
    model_config = ConfigDict(extra="ignore")

    id: str
    title: str | None = None
    canonical_markdown: str = ""
    order_index: int | None = None
    status: str | None = None
    category: str | None = None
    images: list[ImageAssetResponse] = Field(default_factory=list)
    cover_asset: ImageAssetResponse | None = None
    reading_segments: list[ReadingSegmentResponse] = Field(default_factory=list)
    updated_at: str | None = None
    is_new: bool = False
    source_segments: list[str] = Field(default_factory=list)


class CoverGenerationResponse(BaseModel):
    triggered: list[str] = Field(default_factory=list)


class StoryOrderResponse(BaseModel):
    status: str
    chapter_id: str
    story_count: int


class NextQuestionContextResponse(BaseModel):
    current_stage: str | None = None
    empty_slots: list[str] = Field(default_factory=list)
    covered_stages: list[str] = Field(default_factory=list)