from datetime import datetime
from typing import List, Optional

from pydantic import UUID4, BaseModel


class LogSchema(BaseModel):
    id: int
    date_created: datetime
    user_request: Optional[str] = None
    qe_result: Optional[str] = None
    search_result: Optional[str] = None
    llm_result: Optional[str] = None
    llm_settings: Optional[str] = None
    user_name: Optional[str] = None
    chat_id: Optional[str] = None
    error: Optional[str] = None
    
class LogCreateSchema(BaseModel):
    user_request: Optional[str] = None
    qe_result: Optional[str] = None
    search_result: Optional[str] = None
    llm_result: Optional[str] = None
    llm_settings: Optional[str] = None
    user_name: Optional[str] = None
    error: Optional[str] = None
    chat_id: Optional[str] = None

class SortParam(BaseModel):
    field: str
    direction: str  # "asc" | "desc"
    
class LogFilterSchema(BaseModel):
    user_name: Optional[str] = None
    chat_id: Optional[str] = None
    date_from: Optional[datetime] = None
    date_to: Optional[datetime] = None
    
    page: int = 1  # Номер страницы, по умолчанию 1
    page_size: int = 50  # Размер страницы, по умолчанию 50
    sort: Optional[List[SortParam]] = None  # Список параметров сортировки
    
    class Config:
        json_schema_extra = {
            "example": {
                "user_name": "demo",
                "date_from": "2024-01-01T00:00:00",
                "date_to": "2026-12-31T23:59:59",
                "page": 1,
                "page_size": 50,
                "sort": [
                    {"field": "date_created", "direction": "desc"}
                ]
            }
        }

class PaginatedLogResponse(BaseModel):
    data: List[LogSchema]
    total: int
    page: int
    page_size: int
    total_pages: int