#!/usr/bin/env python
"""
测试硅基流动API并找到可用的模型
"""

import sys
import os
from pathlib import Path

sys.path = [p for p in sys.path if 'anaconda3' not in p.lower() and 'conda' not in p.lower()]
sys.path.insert(0, str(Path(__file__).parent.parent))

from src.utils.config import load_config
from src.utils.llm_client import LLMClient, LLMProvider

# 常见的硅基流动模型名称
TEST_MODELS = [
    "deepseek-ai/DeepSeek-V2.5",
    "deepseek-ai/DeepSeek-V2",
    "Qwen/Qwen2.5-72B-Instruct",
    "Qwen/Qwen2.5-72B-Chat",
    "meta-llama/Llama-3.1-70B-Instruct",
    "01-ai/Yi-1.5-34B-Chat",
    "mistralai/Mistral-7B-Instruct-v0.2",
]

def test_model(provider, model_name):
    """测试单个模型"""
    try:
        config = load_config()
        client = LLMClient(provider=provider, model=model_name, config=config)
        messages = [{"role": "user", "content": "你好"}]
        response = client.chat(messages)
        print(f"✅ 模型 {model_name} 可用")
        print(f"   响应: {response[:50]}...")
        return True
    except Exception as e:
        print(f"❌ 模型 {model_name} 不可用: {str(e)[:100]}")
        return False

if __name__ == "__main__":
    print("=" * 60)
    print("测试硅基流动模型")
    print("=" * 60)
    print()
    
    config = load_config()
    if not config.SILICONFLOW_API_KEY:
        print("❌ SILICONFLOW_API_KEY 未配置")
        sys.exit(1)
    
    print(f"API密钥: {config.SILICONFLOW_API_KEY[:20]}...")
    print(f"API Base: {config.SILICONFLOW_API_BASE}")
    print()
    
    # 测试所有模型
    available_models = []
    for model in TEST_MODELS:
        if test_model(LLMProvider.SILICONFLOW, model):
            available_models.append(model)
        print()
    
    print("=" * 60)
    if available_models:
        print(f"✅ 找到 {len(available_models)} 个可用模型:")
        for model in available_models:
            print(f"  - {model}")
        print(f"\n建议使用的模型: {available_models[0]}")
    else:
        print("❌ 没有找到可用的模型，请检查API密钥或模型名称")
    print("=" * 60)