知微
fa45d8aa5f
- health_checklist.json: 192.168.1.122→node122
- ocr_client.py: docstring IP→node122
- docs/market-data-requirements.md: IP→node122
- 所有API调用通过ProxyHandler({})绕过系统代理
Privoxy对node122:18003返回500，直连正常
45 lines
1.2 KiB
Python
45 lines
1.2 KiB
Python
"""
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Auto-detect content type per message: code, JSON, or text.
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"""
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import json
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import re
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_CODE_KEYWORDS = re.compile(
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r"\b(?:def |function |class |import |from |require\(|#include|fn |func |const |let |var |public |private |static )\b"
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)
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def detect_content_type(content: str) -> str:
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"""
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Detect whether content is code, JSON, or plain text.
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Returns one of: "code", "json", "text"
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"""
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stripped = content.strip()
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if not stripped:
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return "text"
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# Check JSON
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if stripped[0] in ("{", "["):
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try:
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json.loads(stripped)
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return "json"
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except (json.JSONDecodeError, ValueError):
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pass
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# Check code indicators
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# Sample first 5000 chars for performance
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sample = stripped[:5000]
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keyword_matches = len(_CODE_KEYWORDS.findall(sample))
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lines = sample.split("\n")
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indented_lines = sum(
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1 for line in lines if line.startswith((" ", "\t")) and line.strip()
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)
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# If we see multiple code keywords or significant indentation, it's likely code
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if keyword_matches >= 3 or (indented_lines > len(lines) * 0.3 and len(lines) > 5):
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return "code"
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return "text"
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