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75 lines
2.1 KiB
Python
75 lines
2.1 KiB
Python
"""
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跨 API、Agent 和宿主回执使用的敏感字段身份判定。
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"""
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import re
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from typing import Any
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_MAX_FIELD_NAME_CHARS = 256
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_ACRONYM_BOUNDARY_PATTERN = re.compile(r"(?<=[A-Z])(?=[A-Z][a-z])")
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_CAMEL_CASE_BOUNDARY_PATTERN = re.compile(r"(?<=[a-z0-9])(?=[A-Z])")
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_SECRET_FIELD_NAMES = frozenset(
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{
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"access_token",
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"api_key",
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"apikey",
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"api_token",
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"auth_header",
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"authorization",
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"client_secret",
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"cookie",
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"passkey",
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"passwd",
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"password",
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"private_key",
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"pwd",
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"refresh_token",
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"secret",
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"secret_access_key",
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"secret_key",
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"token",
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}
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)
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_SECRET_FIELD_ENDINGS = tuple(f"_{name}" for name in _SECRET_FIELD_NAMES)
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_SECRET_SETTING_NAMES = frozenset(
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{
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# CookieCloud 的用户 key 没有类型后缀，但与密码共同构成端到端加密凭据。
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"cookiecloud_key",
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# 自动推送接入是内部凭据状态，默认查询应整体脱敏，不能只根据嵌套字段名判断。
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"app_push_credentials",
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}
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)
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_SECRET_SETTING_ENDINGS = ("_encrypt_key",)
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def _normalize_field_name(value: Any) -> str:
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"""
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将短字段名规范化为 snake_case，非字符串不参与身份推导。
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"""
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if type(value) is not str:
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return ""
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text = value.strip()
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if len(text) > _MAX_FIELD_NAME_CHARS:
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text = text[-_MAX_FIELD_NAME_CHARS:]
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text = _ACRONYM_BOUNDARY_PATTERN.sub("_", text)
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text = _CAMEL_CASE_BOUNDARY_PATTERN.sub("_", text)
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return re.sub(r"[^a-z0-9]+", "_", text.lower()).strip("_")
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def is_secret_setting_key(key: Any) -> bool:
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"""
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按完整字段或类型后缀识别凭据，避免误伤 token 统计与过期配置。
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"""
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normalized = _normalize_field_name(key)
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if not normalized:
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return False
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return (
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normalized in _SECRET_FIELD_NAMES
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or normalized in _SECRET_SETTING_NAMES
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or normalized.endswith(_SECRET_FIELD_ENDINGS)
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or normalized.endswith(_SECRET_SETTING_ENDINGS)
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)
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__all__ = ["is_secret_setting_key"]
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