app_test.py

import os
import re
import requests
import pandas as pd
from smolagents import CodeAgent, DuckDuckGoSearchTool, OpenAIServerModel, HfApiModel

# --- BasicAgent 定义（和你现有代码一致） ---
class BasicAgent:
    def __init__(self):
        api_key = os.getenv("DEEPSEEK_API_KEY")
        if not api_key:
            raise ValueError("DEEPSEEK_API_KEY not found.")
        model = OpenAIServerModel(
            model_id="deepseek-chat",
            api_key=api_key,
            api_base="https://api.deepseek.com/v1"
        )
        search_tool = DuckDuckGoSearchTool()
        self.agent = CodeAgent(
            model=model,
            tools=[search_tool],
            additional_authorized_imports=["pandas"]
        )
        SYSTEM_PROMPT = """
        You MUST follow these response rules:
        1. Strictly use FINAL ANSWER: template
        2. Only use plain text format
        3. Never use markdown or special formatting
        4. Numbers must be digits only 
        5. Lists must be comma-separated without quotes
        6. Always use English characters
        """
        self.agent.prompt_templates["system_prompt"] += SYSTEM_PROMPT

    def __call__(self, question: str) -> str:
        if not isinstance(question, str):
            question = str(question)
        raw = str(self.agent.run(question))
        raw = raw.replace("\n", " ").replace("\r", " ").strip()
        m = re.search(r"FINAL ANSWER:\s*(.*?)(?=\n|$)", raw, re.IGNORECASE)
        return m.group(1).strip() if m else raw

# --- Monkey-patch _prepare_completion_kwargs 来拦截 messages ---
_original_prep = OpenAIServerModel._prepare_completion_kwargs

def _inspect_prep(self, messages, **kwargs):
    bad = []
    for idx, msg in enumerate(messages):
        content = msg.get("content")
        if not isinstance(content, str):
            bad.append((idx, type(content).__name__, content))
    if bad:
        print("🔍 在 _prepare_completion_kwargs 中发现非字符串的 message.content：")
        for i, t, v in bad:
            print(f"  - index {i}: 类型={t}, 值={v!r}")
        # 中断，让你看到错误
        raise ValueError("Found non-str message.content, aborting.")
    # 全部合法才继续原逻辑
    return _original_prep(self, messages, **kwargs)

# 应用 patch
OpenAIServerModel._prepare_completion_kwargs = _inspect_prep

# --- 主流程：直接运行你要问的问题 ---
if __name__ == "__main__":
    question = (
        "Who nominated the only Featured Article on English Wikipedia about a "
        "dinosaur that was promoted in November 2016?"
    )
    try:
        agent = BasicAgent()
        print("提问：", question)
        ans = agent(question)
        print("回答：", ans)
    except Exception as e:
        print("出错：", e)