"""
QA - 智能问答编排

run_qa(prompt): 按 models 顺序尝试 chat()，首个成功返回 (answer, provider)。
顺序 = vision 模型(Gemini -> NVIDIA) + text 模型(Ollama 兜底)。
即 Gemini -> NVIDIA -> Ollama 三级降级。
"""
from typing import Optional, Tuple

from .logger import setup_logger
from .config_loader import load_config
from .model_adapters.adapter_factory import build_adapters

logger = setup_logger('fam-edge.qa')


class QAOrchestrator:
    def __init__(self):
        self.config = load_config()
        self.adapters = build_adapters(self.config.get('models', []))

    def run_qa(self, prompt: str,
               max_tokens: int = 1024) -> Tuple[Optional[str], Optional[str]]:
        """依次尝试各适配器的 chat()，返回 (answer, provider)。"""
        for adapter in self.adapters:
            try:
                answer = adapter.chat(prompt, max_tokens=max_tokens)
            except Exception as e:
                logger.warning(f"QA {adapter.provider_name} 异常: {e}")
                continue
            if answer:
                logger.info(f"QA 命中 provider={adapter.provider_name}")
                return answer, adapter.provider_name
            logger.info(f"QA {adapter.provider_name} 无返回，降级下一模型")
        return None, None