from __future__ import annotations

from datetime import datetime

from pydantic import BaseModel, Field


class NovelCreate(BaseModel):
    title: str = Field(min_length=1, max_length=200)
    description: str = Field(default="", max_length=2000)


class NovelUpdate(BaseModel):
    title: str | None = Field(default=None, min_length=1, max_length=200)
    description: str | None = Field(default=None, max_length=2000)


class NovelRead(BaseModel):
    id: int
    title: str
    description: str
    created_at: datetime
    updated_at: datetime


class NovelList(BaseModel):
    items: list[NovelRead]
    total: int


# ── 大纲 ──


class OutlineCreate(BaseModel):
    summary: str = Field(min_length=1, max_length=200)
    detail: str = Field(default="", max_length=1000)
    parent_id: int | None = None


class OutlineUpdate(BaseModel):
    summary: str | None = Field(default=None, min_length=1, max_length=200)
    detail: str | None = Field(default=None, max_length=1000)
    sort_order: int | None = None


class OutlineRead(BaseModel):
    id: int
    novel_id: int
    parent_id: int | None = None
    sort_order: int
    summary: str
    detail: str
    children: list[OutlineRead] = []
    created_at: datetime
    updated_at: datetime


class OutlineList(BaseModel):
    items: list[OutlineRead]
    total: int


class OutlineReorder(BaseModel):
    """排序请求：按顺序传入大纲id列表"""
    ordered_ids: list[int]


# ── 角色 ──


class CharacterCreate(BaseModel):
    name: str = Field(min_length=1, max_length=100)
    description: str = Field(default="", max_length=1000)


class CharacterUpdate(BaseModel):
    name: str | None = Field(default=None, min_length=1, max_length=100)
    description: str | None = Field(default=None, max_length=1000)


class CharacterRead(BaseModel):
    id: int
    novel_id: int
    name: str
    description: str
    created_at: datetime
    updated_at: datetime


class CharacterList(BaseModel):
    items: list[CharacterRead]
    total: int


# ── 章节 ──


class ChapterCreate(BaseModel):
    title: str = Field(min_length=1, max_length=200)
    content: str = Field(default="", max_length=5000)


class ChapterUpdate(BaseModel):
    title: str | None = Field(default=None, min_length=1, max_length=200)
    content: str | None = Field(default=None, max_length=5000)
    sort_order: int | None = None


class ChapterRead(BaseModel):
    id: int
    novel_id: int
    sort_order: int
    title: str
    content: str
    created_at: datetime
    updated_at: datetime


class ChapterList(BaseModel):
    items: list[ChapterRead]
    total: int


class ChapterReorder(BaseModel):
    """排序请求：按顺序传入章节id列表"""
    ordered_ids: list[int]


# ── 世界观 ──


class WorldSettingUpdate(BaseModel):
    content: str = Field(default="", max_length=5000)


class WorldSettingRead(BaseModel):
    id: int
    novel_id: int
    content: str
    created_at: datetime
    updated_at: datetime


# ── 文件 ──


class FileRead(BaseModel):
    id: int
    novel_id: int
    filename: str
    file_size: int
    mime_type: str
    text_length: int
    created_at: datetime


class FileList(BaseModel):
    items: list[FileRead]
    total: int


# ── Skill ──


class SkillCreate(BaseModel):
    name: str = Field(min_length=1, max_length=100)
    description: str = Field(default="", max_length=500)
    system_prompt: str = Field(default="", max_length=10000)
    allowed_tools: list[str] = Field(default_factory=list)
    novel_id: int | None = None


class SkillUpdate(BaseModel):
    name: str | None = Field(default=None, min_length=1, max_length=100)
    description: str | None = Field(default=None, max_length=500)
    system_prompt: str | None = Field(default=None, max_length=10000)
    allowed_tools: list[str] | None = None


class SkillRead(BaseModel):
    id: int
    name: str
    description: str
    system_prompt: str
    allowed_tools: list[str]
    is_builtin: bool
    novel_id: int | None
    created_at: datetime
    updated_at: datetime


class SkillList(BaseModel):
    items: list[SkillRead]
    total: int


class ToolInfo(BaseModel):
    name: str
    description: str


# ── AI配置 ──


class AIConfigSave(BaseModel):
    provider: str = Field(default="openai")
    base_url: str = Field(default="https://api.openai.com/v1")
    api_key: str = Field(min_length=1)
    model: str = Field(default="gpt-4o")


class AIConfigRead(BaseModel):
    id: int
    provider: str
    base_url: str
    api_key_masked: str  # 脱敏后的key
    model: str
    updated_at: datetime


# ── 聊天 ──


class ChatMessageInput(BaseModel):
    role: str
    content: str


class PendingToolCall(BaseModel):
    """待审批的工具调用"""
    id: str
    name: str
    arguments: dict


class ChatRequest(BaseModel):
    messages: list[ChatMessageInput]
    novel_id: int | None = None
    page_context: str | None = None      # 用户当前所在页面，如 "大纲页" "世界观页"
    tools_enabled: bool = True            # 是否启用工具调用
    auto_approve_tools: bool = False      # 是否自动执行工具（无需人工审批）
    skill_id: int | None = None           # 激活的 Skill ID
    # 工具审批续传
    pending_tool_calls: list[PendingToolCall] | None = None
    assistant_text: str | None = None     # LLM 在工具调用前输出的文本


class ChatMessageRead(BaseModel):
    id: int
    novel_id: int | None
    role: str
    content: str
    created_at: datetime


class ChatMessageList(BaseModel):
    items: list[ChatMessageRead]
    total: int


# 解决 OutlineRead 自引用
OutlineRead.model_rebuild()