# -*- coding: utf-8 -*-

from fastapi import APIRouter
from fastapi.responses import JSONResponse, StreamingResponse
from digitalHuman.protocol import TextMessage
from digitalHuman.engine import EnginePool
from digitalHuman.server.reponse import Response, streamInteralError
from digitalHuman.server.header import HeaderInfo
from digitalHuman.server.models import *
from digitalHuman.server.core.api_llm_v0_impl import *

router = APIRouter(prefix="/llm/v0")
enginePool = EnginePool()

# ========================= 获取asr支持列表 ===========================
@router.get("/engine", response_model=EngineListResp, summary="Get LLM Engine List")
def api_get_llm_list():
    """
    获取asr支持引擎列表
    """
    response = Response()
    try:
        response.data = get_llm_list()
    except Exception as e:
        response.data = []
        response.error(str(e))
    return JSONResponse(content=response.validate(EngineListResp), status_code=200)

# ========================= 获取asr默认引擎 ===========================
@router.get("/engine/default", response_model=EngineDefaultResp, summary="Get Default LLM Engine")
def api_get_asr_default():
    """
    获取默认asr引擎
    """
    response = Response()
    try:
        response.data = get_llm_default()
    except Exception as e:
        response.data = ""
        response.error(str(e))
    return JSONResponse(content=response.validate(EngineDefaultResp), status_code=200)


# ========================= 获取asr引擎参数列表 ===========================
@router.get("/engine/{engine}", response_model=EngineParam, summary="Get LLM Engine param")
def api_get_asr_param(engine: str):
    """
    获取asr引擎配置参数列表
    """
    response = Response()
    try:
        response.data = get_llm_param(engine)
    except Exception as e:
        response.data = []
        response.error(str(e))
    return JSONResponse(content=response.validate(EngineParam), status_code=200)


# ========================= 执行asr引擎 ===========================
@router.post("/engine", response_model=ASREngineOutput, summary="LLM Inference")

async def api_agent_infer(item: LLMEngineInput, header: HeaderInfo):
    if item.engine.lower() == "default":
        item.engine = config.SERVER.LLM.DEFAULT
    response = Response()
    try:
        input = TextMessage(data=item.data)
        return StreamingResponse(enginePool.getEngine(ENGINE_TYPE.LLM, item.engine).run(input=input, user=header, **item.config), media_type="text/event-stream")
    except Exception as e:
        response.error(str(e))
        return StreamingResponse(streamInteralError("Interal Error"), media_type="text/event-stream")