"""创建 STT / LLM / TTS 服务。

对应 dograh 的 service_factory.py,但只留一套国产栈(OpenAI 兼容),
按 provider 扩展时在这里加分支即可——这是未来接更多模型的唯一入口。
"""

import config
from loguru import logger
from models import AssistantConfig

from pipecat.services.openai.llm import OpenAILLMService
from pipecat.services.openai.stt import OpenAISTTService
from pipecat.services.openai.tts import VALID_VOICES, OpenAITTSService
from pipecat.transcriptions.language import Language

from services.pipecat.xfyun_asr import DEFAULT_XFYUN_ASR_URL, XfyunASRService
from services.pipecat.xfyun_config import (
    is_super_tts,
    parse_xfyun_credential,
    websocket_url,
    xfyun_language,
    xfyun_speed,
)
from services.pipecat.xfyun_super_tts import (
    DEFAULT_XFYUN_SUPER_TTS_URL,
    XfyunSuperTTSService,
)
from services.pipecat.xfyun_tts import DEFAULT_XFYUN_TTS_URL, XfyunTTSService


def _language(value: str) -> Language | None:
    if not value:
        return None
    try:
        return Language(value)
    except ValueError:
        logger.warning(f"忽略不支持的 ASR language: {value}")
        return None


def create_stt(cfg: AssistantConfig):
    """SenseVoice / FunASR 等,走 OpenAI 兼容的 /v1/audio/transcriptions。

    连接信息优先用 cfg(由 config_resolver 从 DB 注入),为空回退 .env 默认。
    """
    if cfg.stt_interface_type == "xfyun":
        credential = parse_xfyun_credential(cfg.stt_api_key)
        return XfyunASRService(
            app_id=credential.app_id,
            api_key=credential.api_key,
            api_secret=credential.api_secret,
            url=websocket_url(cfg.stt_base_url, DEFAULT_XFYUN_ASR_URL),
            language=xfyun_language(cfg.stt_language),
            sample_rate=16000,
        )

    return OpenAISTTService(
        api_key=cfg.stt_api_key or config.STT_API_KEY,
        base_url=cfg.stt_base_url or config.STT_BASE_URL,
        settings=OpenAISTTService.Settings(
            model=cfg.asr or config.STT_MODEL,
            language=_language(cfg.stt_language),
        ),
    )


def create_llm(cfg: AssistantConfig):
    """DeepSeek 等,走 OpenAI 兼容的 /v1/chat/completions。"""
    return OpenAILLMService(
        api_key=cfg.llm_api_key or config.LLM_API_KEY,
        base_url=cfg.llm_base_url or config.LLM_BASE_URL,
        settings=OpenAILLMService.Settings(model=cfg.model or config.LLM_MODEL),
    )


def create_tts(cfg: AssistantConfig):
    """CosyVoice 等,走 OpenAI 兼容的 /v1/audio/speech。"""
    voice = cfg.voice or config.TTS_VOICE
    if cfg.tts_interface_type == "xfyun":
        credential = parse_xfyun_credential(cfg.tts_api_key)
        speed = xfyun_speed(cfg.tts_speed)
        if is_super_tts(cfg.tts_model, cfg.tts_base_url):
            return XfyunSuperTTSService(
                app_id=credential.app_id,
                api_key=credential.api_key,
                api_secret=credential.api_secret,
                voice=voice,
                url=websocket_url(cfg.tts_base_url, DEFAULT_XFYUN_SUPER_TTS_URL),
                sample_rate=16000,
                source_sample_rate=24000,
                speed=speed,
            )
        return XfyunTTSService(
            app_id=credential.app_id,
            api_key=credential.api_key,
            api_secret=credential.api_secret,
            voice=voice,
            url=websocket_url(cfg.tts_base_url, DEFAULT_XFYUN_TTS_URL),
            sample_rate=16000,
            source_sample_rate=16000,
            speed=speed,
            push_stop_frames=True,
        )

    # Pipecat 默认只接受 OpenAI 官方音色。OpenAI 兼容服务常使用自定义 voice id,
    # 注册为原样映射后仍由 OpenAI SDK 按字符串透传给供应商。
    VALID_VOICES.setdefault(voice, voice)
    return OpenAITTSService(
        api_key=cfg.tts_api_key or config.TTS_API_KEY,
        base_url=cfg.tts_base_url or config.TTS_BASE_URL,
        settings=OpenAITTSService.Settings(
            model=cfg.tts_model or config.TTS_MODEL,
            voice=voice,
            speed=cfg.tts_speed,
        ),
    )


def create_services(cfg: AssistantConfig):
    logger.info(
        f"创建服务: stt={cfg.stt_interface_type}/{cfg.asr or config.STT_MODEL} "
        f"llm={cfg.model or config.LLM_MODEL} "
        f"tts={cfg.tts_interface_type}/{cfg.tts_model or config.TTS_MODEL} "
        f"voice={cfg.voice or config.TTS_VOICE}"
    )
    return create_stt(cfg), create_llm(cfg), create_tts(cfg)