binary-husky/gpt_academic · error · ValueError

不支持的检索类型

Error message

不支持的检索类型

What it means

searxng_request() explicitly supports only categories='general' and categories='science'. Any other value reaches this ValueError. The engines argument does not add a category; it is only placed in the general-search parameter map.

Source

Thrown at crazy_functions/Internet_GPT.py:141

    if engines == "Mixed":
        engines = None

    if categories == 'general':
        params = {
            'q': query,         # 搜索查询
            'format': 'json',   # 输出格式为JSON
            'language': 'zh',   # 搜索语言
            'engines': engines,
        }
    elif categories == 'science':
        params = {
            'q': query,         # 搜索查询
            'format': 'json',   # 输出格式为JSON
            'language': 'zh',   # 搜索语言
            'categories': 'science'
        }
    else:
        raise ValueError('不支持的检索类型')

    headers = {
        'Accept-Language': 'zh-CN,zh;q=0.9',
        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36',
        'X-Forwarded-For': get_auth_ip(),
        'X-Real-IP': get_auth_ip()
    }
    results = []
    response = requests.post(url, params=params, headers=headers, proxies=proxies, timeout=30)
    if response.status_code == 200:
        json_result = response.json()
        for result in json_result['results']:
            item = {
                "title": result.get("title", ""),
                "source": result.get("engines", "unknown"),
                "content": result.get("content", ""),
                "link": result["url"],
            }

View on GitHub (pinned to d6bde0fa54)

Solutions

1. Pass only 'general' or 'science' to searxng_request.
2. Normalize caller input with strip().lower() before the call.
3. Use the engines parameter for engine selection within general search.
4. Add a branch with the required SearXNG categories parameter if a new category is genuinely needed.
5. Validate the category before starting LLM search optimization.

Example fix

# before
if categories == 'general':
    ...
elif categories == 'science':
    ...
else:
    raise ValueError('不支持的检索类型')

# after
categories = (categories or 'general').strip().lower()
if categories not in {'general', 'science'}:
    raise ValueError(f"不支持的检索类型: {categories}; use general or science")

categories = (categories or "general").strip().lower()
if categories not in {"general", "science"}:
    raise ValueError(f"Unsupported SearxNG category: {categories}")
results = searxng_request(query, proxies, categories)

def is_supported_searxng_category(categories) -> bool:
    return isinstance(categories, str) and categories.strip().lower() in {"general", "science"}

try:
    results = searxng_request(...)
except ValueError as e:
    if "不支持的检索类型" in str(e):
        results = searxng_request(query, proxies, "general")
    else:
        raise

When it happens

Trigger: A caller passes 'images', 'news', 'videos', 'files', an uppercase value, a typo, or None as categories.

Common situations: Plugin arguments are copied from a different SearXNG client; a UI dropdown value is not normalized; code assumes every SearxNG category is implemented; a caller confuses engines such as 'google' with categories.

Related errors

• 在线搜索失败！\n{Exceptions}
• Searxng（在线搜索服务）当前使用人数太多，请稍后。
• 在线搜索失败，状态码: {response.status_code}\t{response.content.decode
• 用户代理或助理代理未定义
• 文件大小 ({file_size_mb:.1f}MB) 超过限制 {max_size_mb}MB

AI-assisted analysis of binary-husky/gpt_academic@d6bde0fa54 (2026-08-14). Data as JSON: /api/errors/87e2cbdfc45aadcc. Report an issue: GitHub.