from datetime import datetime
from typing import List, Optional
from pydantic import BaseModel


# ============ Voice ============
class VoiceBase(BaseModel):
    name: str
    vendor: str
    gender: str
    language: str
    description: str


class VoiceOut(VoiceBase):
    id: str

    class Config:
        from_attributes = True


# ============ Assistant ============
class AssistantBase(BaseModel):
    name: str
    opener: str = ""
    prompt: str = ""
    knowledgeBaseId: Optional[str] = None
    language: str = "zh"
    voice: Optional[str] = None
    speed: float = 1.0
    hotwords: List[str] = []
    tools: List[str] = []
    interruptionSensitivity: int = 500
    configMode: str = "platform"
    apiUrl: Optional[str] = None
    apiKey: Optional[str] = None


class AssistantCreate(AssistantBase):
    pass


class AssistantUpdate(AssistantBase):
    name: Optional[str] = None


class AssistantOut(AssistantBase):
    id: str
    callCount: int = 0
    created_at: Optional[datetime] = None

    class Config:
        from_attributes = True


# ============ Knowledge Base ============
class KnowledgeDocument(BaseModel):
    id: str
    name: str
    size: str
    fileType: str = "txt"
    storageUrl: Optional[str] = None
    status: str = "pending"
    chunkCount: int = 0
    uploadDate: str


class KnowledgeDocumentCreate(BaseModel):
    name: str
    size: str
    fileType: str = "txt"
    storageUrl: Optional[str] = None


class KnowledgeDocumentUpdate(BaseModel):
    status: Optional[str] = None
    chunkCount: Optional[int] = None
    errorMessage: Optional[str] = None


class KnowledgeBaseBase(BaseModel):
    name: str
    description: str = ""
    embeddingModel: str = "text-embedding-3-small"
    chunkSize: int = 500
    chunkOverlap: int = 50


class KnowledgeBaseCreate(KnowledgeBaseBase):
    pass


class KnowledgeBaseUpdate(BaseModel):
    name: Optional[str] = None
    description: Optional[str] = None
    embeddingModel: Optional[str] = None
    chunkSize: Optional[int] = None
    chunkOverlap: Optional[int] = None
    status: Optional[str] = None


class KnowledgeBaseOut(KnowledgeBaseBase):
    id: str
    docCount: int = 0
    chunkCount: int = 0
    status: str = "active"
    createdAt: Optional[datetime] = None
    updatedAt: Optional[datetime] = None
    documents: List[KnowledgeDocument] = []

    class Config:
        from_attributes = True


# ============ Knowledge Search ============
class KnowledgeSearchQuery(BaseModel):
    query: str
    kb_id: str
    nResults: int = 5


class KnowledgeSearchResult(BaseModel):
    query: str
    results: List[dict]


class DocumentIndexRequest(BaseModel):
    document_id: str
    content: str


class KnowledgeStats(BaseModel):
    kb_id: str
    docCount: int
    chunkCount: int


# ============ Workflow ============
class WorkflowNode(BaseModel):
    name: str
    type: str
    isStart: Optional[bool] = None
    metadata: dict
    prompt: Optional[str] = None
    messagePlan: Optional[dict] = None
    variableExtractionPlan: Optional[dict] = None
    tool: Optional[dict] = None
    globalNodePlan: Optional[dict] = None


class WorkflowEdge(BaseModel):
    from_: str
    to: str
    label: Optional[str] = None

    class Config:
        populate_by_name = True


class WorkflowBase(BaseModel):
    name: str
    nodeCount: int = 0
    createdAt: str = ""
    updatedAt: str = ""
    globalPrompt: Optional[str] = None
    nodes: List[dict] = []
    edges: List[dict] = []


class WorkflowCreate(WorkflowBase):
    pass


class WorkflowUpdate(BaseModel):
    name: Optional[str] = None
    nodeCount: Optional[int] = None
    nodes: Optional[List[dict]] = None
    edges: Optional[List[dict]] = None
    globalPrompt: Optional[str] = None


class WorkflowOut(WorkflowBase):
    id: str

    class Config:
        from_attributes = True


# ============ Call Record ============
class TranscriptSegment(BaseModel):
    turnIndex: int
    speaker: str  # human/ai
    content: str
    confidence: Optional[float] = None
    startMs: int
    endMs: int
    durationMs: Optional[int] = None
    audioUrl: Optional[str] = None


class CallRecordCreate(BaseModel):
    user_id: int
    assistant_id: Optional[str] = None
    source: str = "debug"


class CallRecordUpdate(BaseModel):
    status: Optional[str] = None
    summary: Optional[str] = None
    duration_seconds: Optional[int] = None


class CallRecordOut(BaseModel):
    id: str
    user_id: int
    assistant_id: Optional[str] = None
    source: str
    status: str
    started_at: str
    ended_at: Optional[str] = None
    duration_seconds: Optional[int] = None
    summary: Optional[str] = None
    transcripts: List[TranscriptSegment] = []

    class Config:
        from_attributes = True


# ============ Call Transcript ============
class TranscriptCreate(BaseModel):
    turn_index: int
    speaker: str
    content: str
    confidence: Optional[float] = None
    start_ms: int
    end_ms: int
    duration_ms: Optional[int] = None
    emotion: Optional[str] = None


class TranscriptOut(TranscriptCreate):
    id: int
    audio_url: Optional[str] = None

    class Config:
        from_attributes = True


# ============ Dashboard ============
class DashboardStats(BaseModel):
    totalCalls: int
    answerRate: int
    avgDuration: str
    humanTransferCount: int
    trend: List[dict]


# ============ API Response ============
class Message(BaseModel):
    message: str


class DocumentIndexRequest(BaseModel):
    content: str


class ListResponse(BaseModel):
    total: int
    page: int
    limit: int
    list: List