490 lines
20 KiB
Python
490 lines
20 KiB
Python
# -*- coding: utf-8 -*-
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"""iAOP-Core · LLM 网关 —— 敏感度路由规则引擎（EPIC #6 主体，Issue #43 雏形）。
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对应 PRD 5.4「④ LLM 网关 + RAG」与 EPIC #6：
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本地 70B（敏感/核心）+ 云端 API（脱敏/通用）**混合**，安全分级路由。
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本模块实现**路由决策层**：
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- 依据「敏感度路由规则」（模板配置资产）对用户 query 做**敏感度分级**，
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输出路由目标：`local`（敏感/核心，数据不出厂）/ `cloud`（脱敏/通用）/
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`block`（触发高危规则，直接拦截，转人工）。
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- 分级规则为**配置点**：`config/router.template.yaml`，换行业只改资产，
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内核零改动（对齐 dlp / rag-kb 模板化思想）。
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- 路由决策前**强制先过 DLP 出站检查**：query 若命中 DLP block 规则，
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一律走本地（fail-closed），云端仅在 DLP 放行时允许（PRD 5.4 数据不出厂）。
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设计说明（Issue #43 雏形，Issue #49 补齐评测）：
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- 本版实现规则匹配与分级、模板加载、路由准确率离线评测入口（`evaluate()`）；
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- 配套评测报告脚本 `evaluate_routing.py`（Issue #49 交付），验收目标 ≥ 96.5%。
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测试：`python -m unittest discover -s tests -v`（在 core/llm-gateway 目录下执行）。
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"""
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from __future__ import annotations
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import re
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import uuid
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from dataclasses import dataclass, field
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from datetime import datetime, timezone
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from typing import Dict, List, Optional, Tuple
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# ---------------------------------------------------------------------------
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# 轻量 YAML 子集解析（零第三方依赖，递归下降）：与 dlp.py 同款（模块内自持，
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# 保持模块零耦合）。足以解析 `config/router.template.yaml` 模板资产。
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# ---------------------------------------------------------------------------
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def _parse_scalar(text: str) -> str:
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"""去掉标量两侧引号与行内注释（`key: value # comment`）。"""
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t = text.split(" #", 1)[0].strip()
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if len(t) >= 2 and t[0] == t[-1] and t[0] in ("'", '"'):
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return t[1:-1]
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return t
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def _strip_comments(lines: List[str]) -> List[Tuple[str, int]]:
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"""剔除空行与整行注释，保留行号（1 起）用于报错定位。"""
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out = []
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for i, ln in enumerate(lines):
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s = ln.strip()
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if not s or s.startswith("#"):
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continue
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out.append((ln, i + 1))
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return out
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def _parse_node(lines: List[Tuple[str, int]], i: int, indent: int):
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"""递归解析从 lines[i] 开始、缩进为 `indent` 的一个节点。
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返回 `(value, next_i)`：value 为 dict / list / str，next_i 为下一个
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未消费行的下标。
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"""
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text, no = lines[i]
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lead = len(text) - len(text.lstrip(" "))
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# ---- list 节点：`- item` 或 `- key: val`（map 项） ----
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if text.lstrip(" ").startswith("- "):
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items: List[object] = []
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while i < len(lines):
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t, no2 = lines[i]
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stripped = t.lstrip(" ")
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if not stripped.startswith("- "):
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break
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lead_j = len(t) - len(t.lstrip(" "))
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if lead_j != indent:
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break
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item_text = stripped[2:].strip()
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if not item_text:
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raise ValueError(f"router.yaml 第 {no2} 行：list 项为空")
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if ":" in item_text:
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map_indent = len(t) - len(t.lstrip(" ")) + 2
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lines[i] = (" " * map_indent + item_text, no2)
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v, i = _parse_node(lines, i, map_indent)
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items.append(v)
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else:
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items.append(_parse_scalar(item_text))
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i += 1
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return items, i
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# ---- map 节点：`key: value` / `key:`（嵌套值） ----
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result: Dict[str, object] = {}
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while i < len(lines):
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t, no = lines[i]
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lead_j = len(t) - len(t.lstrip(" "))
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if lead_j < indent or t.lstrip(" ").startswith("- "):
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break
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if lead_j > indent:
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raise ValueError(f"router.yaml 第 {no} 行缩进异常（期望 {indent}，实际 {lead_j}）")
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if ":" not in t:
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raise ValueError(f"router.yaml 第 {no} 行不是合法键值对：{t!r}")
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key, _, rest = t.partition(":")
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key = key.strip()
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rest = rest.strip()
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if rest:
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result[key] = _parse_scalar(rest)
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i += 1
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continue
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if i + 1 >= len(lines):
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raise ValueError(f"router.yaml 第 {no} 行 {key!r} 缺少值")
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sub_indent = len(lines[i + 1][0]) - len(lines[i + 1][0].lstrip(" "))
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if sub_indent <= indent:
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raise ValueError(f"router.yaml 第 {no} 行 {key!r} 缺少值（无嵌套内容）")
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v, i = _parse_node(lines, i + 1, sub_indent)
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result[key] = v
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return result, i
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def _load_yaml_text(text: str) -> Dict[str, object]:
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"""解析 YAML 子集 → 嵌套 dict/list。顶层必须为 map。"""
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lines = _strip_comments(text.splitlines())
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if not lines:
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return {}
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top_indent = len(lines[0][0]) - len(lines[0][0].lstrip(" "))
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value, next_i = _parse_node(lines, 0, top_indent)
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if not isinstance(value, dict):
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raise ValueError("router.yaml 顶层必须是 map")
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if next_i < len(lines):
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raise ValueError(
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f"router.yaml 第 {lines[next_i][1]} 行：顶层存在多个节点（缩进不一致）"
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)
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return value
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# ---------------------------------------------------------------------------
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# 路由目标与规则模型
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# ---------------------------------------------------------------------------
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class RouteTarget:
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"""路由目标常量。"""
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LOCAL = "local" # 敏感/核心 → 本地 70B（数据不出厂）
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CLOUD = "cloud" # 脱敏/通用 → 云端 API
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BLOCK = "block" # 高危 → 直接拦截，转人工确认
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@dataclass(frozen=True)
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class RouterRule:
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"""一条敏感度路由规则。
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- `target`：命中后路由到哪（local / cloud / block）；
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- `kind`：`keyword`（大小写不敏感子串）或 `regex`（正则）；
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- `category`：敏感类别（工艺参数 / 个人信息 / 高危指令等），用于审计分组。
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"""
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name: str
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category: str
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kind: str
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pattern: str
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target: str
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description: str = ""
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priority: int = 0 # 数字越小越优先（issue #43）；相同按声明顺序
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_compiled: Optional["re.Pattern[str]"] = field(default=None, repr=False, compare=False)
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@classmethod
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def from_mapping(cls, m: Dict[str, object]) -> "RouterRule":
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name = str(m.get("name", ""))
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if not name:
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raise ValueError("router 规则缺少 name")
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kind = str(m.get("kind", "keyword"))
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pattern = str(m.get("pattern", ""))
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if not pattern:
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raise ValueError(f"router 规则 {name} 缺少 pattern")
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target = str(m.get("target", RouteTarget.LOCAL))
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if target not in (RouteTarget.LOCAL, RouteTarget.CLOUD, RouteTarget.BLOCK):
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raise ValueError(f"router 规则 {name} 的 target 非法：{target!r}")
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if kind not in ("keyword", "regex"):
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raise ValueError(f"router 规则 {name} 的 kind 非法：{kind!r}")
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try:
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priority = int(m.get("priority", 0))
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except (TypeError, ValueError):
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raise ValueError(f"router 规则 {name} 的 priority 非法：{m.get('priority')!r}")
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return cls(
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name=name,
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category=str(m.get("category", "general")),
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kind=kind,
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pattern=pattern,
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target=target,
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description=str(m.get("description", "")),
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priority=priority,
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)
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def _compiled_regex(self) -> "re.Pattern[str]":
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if self.kind == "regex":
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return re.compile(self.pattern, re.IGNORECASE)
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return re.compile(re.escape(self.pattern), re.IGNORECASE)
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def find(self, text: str) -> List[Tuple[str, int, int]]:
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"""返回 (匹配文本, 起始, 结束) 列表；空串 pattern 返回空。"""
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if not self.pattern:
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return []
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return [(m.group(0), m.start(), m.end()) for m in self._compiled_regex().finditer(text)]
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@dataclass(frozen=True)
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class RouteDecision:
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"""一次路由决策结果（含审计所需上下文）。"""
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query: str
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target: str
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reason: str # rule_hit / no_rule / dlp_blocked
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rule_name: Optional[str] = None # 命中的规则（rule_hit 时）
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category: Optional[str] = None
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decision_id: str = field(default_factory=lambda: uuid.uuid4().hex[:12])
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created_at: str = field(default_factory=lambda: datetime.now(timezone.utc).isoformat())
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def to_dict(self) -> Dict[str, object]:
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return {
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"decision_id": self.decision_id,
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"created_at": self.created_at,
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"query": self.query,
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"target": self.target,
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"reason": self.reason,
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"rule_name": self.rule_name,
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"category": self.category,
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}
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# ---------------------------------------------------------------------------
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# 敏感度路由引擎
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# ---------------------------------------------------------------------------
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class SensitivityRouter:
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"""敏感度路由引擎：对 query 做分级路由（local / cloud / block）。
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路由优先级（fail-closed）：
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1. DLP 出站检查拦截 → `block`（转发人工，绝不发云端）；
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2. 命中 `block` 路由规则 → `block`；
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3. 命中 `local` 路由规则 → `local`（敏感优先本地，规则可覆盖 cloud）；
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4. 命中 `cloud` 规则 → `cloud`；
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5. 未命中任何规则 → 默认 `local`（保守：未知 = 敏感，数据不出厂）。
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"""
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# 内置保底规则：即使未加载任何配置，通用高危/敏感内容默认生效。
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ROUTER_DEFAULT_RULES: Tuple[RouterRule, ...] = (
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RouterRule(
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name="rt_id_card", category="pii", kind="regex",
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pattern=r"\d{17}[\dXx]", target=RouteTarget.LOCAL,
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description="身份证号（敏感，走本地）",
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),
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RouterRule(
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name="rt_mobile", category="pii", kind="regex",
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pattern=r"1[3-9]\d{9}", target=RouteTarget.LOCAL,
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description="手机号（敏感，走本地）",
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),
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RouterRule(
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name="rt_emergency_cmd", category="safety", kind="keyword",
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pattern="停机", target=RouteTarget.BLOCK,
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description="停机等安全指令（高危，转人工）",
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),
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)
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def __init__(self, rules: Optional[List[RouterRule]] = None,
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default_target: str = RouteTarget.LOCAL,
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audit: bool = True) -> None:
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# 内置保底 + 模板规则（同名覆盖内置：模板定制优先）
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merged: Dict[str, RouterRule] = {r.name: r for r in self.ROUTER_DEFAULT_RULES}
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for r in (rules or []):
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merged[r.name] = r
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# 按 priority 升序（稳定排序：同 priority 保持合并后的声明顺序）
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self._rules: List[RouterRule] = sorted(
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merged.values(), key=lambda r: r.priority)
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self.default_target = default_target
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self.audit = audit
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self._audit_log: List[Dict[str, object]] = []
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@classmethod
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def from_template_config(cls, path: str,
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default_target: str = RouteTarget.LOCAL) -> "SensitivityRouter":
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"""从模板资产加载路由规则（`config/router.template.yaml`）。"""
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with open(path, "r", encoding="utf-8") as fh:
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raw = _load_yaml_text(fh.read())
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rules = []
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for m in raw.get("rules", []):
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if isinstance(m, dict):
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rules.append(RouterRule.from_mapping(m))
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return cls(rules=rules, default_target=default_target)
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# -- 决策 --------------------------------------------------------------
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def route(self, query: str, dlp_blocked: bool = False) -> RouteDecision:
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"""对单条 query 做路由决策。
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`dlp_blocked`：上游 DLP 出站检查结果（true = 已拦截）。
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命中 block 或 DLP 拦截时返回 `block`（fail-closed）。
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"""
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# 1) DLP 已拦截 → 直接 block
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if dlp_blocked:
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decision = RouteDecision(
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query=query, target=RouteTarget.BLOCK,
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reason="dlp_blocked", category="dlp",
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)
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self._record(decision)
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return decision
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# 2) 逐条规则（模板配置顺序 = 优先级）
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for rule in self._rules:
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if rule.find(query):
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decision = RouteDecision(
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query=query, target=rule.target,
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reason="rule_hit", rule_name=rule.name,
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category=rule.category,
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)
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self._record(decision)
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return decision
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# 3) 无规则命中 → 保守默认
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decision = RouteDecision(
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query=query, target=self.default_target, reason="no_rule",
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)
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self._record(decision)
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return decision
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# -- 规则引擎诊断（Issue #43） -----------------------------------------
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def validate_rules(self) -> List[str]:
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"""校验规则集合法性，返回问题列表（空 = 合法）。
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检查项：规则名重复、pattern 空、target/kind 非法（from_mapping 已拦截）、
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priority 排序无冲突（仅报告，不阻断）。
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"""
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problems: List[str] = []
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seen: Dict[str, int] = {}
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for rule in self._rules:
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seen[rule.name] = seen.get(rule.name, 0) + 1
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if not rule.pattern:
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problems.append(f"规则 {rule.name} pattern 为空")
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if rule.target not in (RouteTarget.LOCAL, RouteTarget.CLOUD,
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RouteTarget.BLOCK):
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problems.append(f"规则 {rule.name} target 非法：{rule.target!r}")
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for name, count in seen.items():
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if count > 1:
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problems.append(f"规则名重复：{name}（{count} 次）")
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return problems
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def stats(self) -> Dict[str, object]:
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"""规则集统计（按 target / kind 分类）。"""
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by_target: Dict[str, int] = {}
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by_kind: Dict[str, int] = {}
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for rule in self._rules:
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by_target[rule.target] = by_target.get(rule.target, 0) + 1
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by_kind[rule.kind] = by_kind.get(rule.kind, 0) + 1
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return {"total": len(self._rules),
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"by_target": by_target, "by_kind": by_kind}
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def describe(self, query: str) -> Dict[str, object]:
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"""命中链诊断：返回 query 命中的全部规则（不改变路由决策）。
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用于规则调试/配置台预览：查看同一条 query 命中的多条规则，
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理解实际决策是第一条命中的规则（按 priority 排序后）。
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"""
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hits = []
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for rule in self._rules:
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found = rule.find(query)
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if found:
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hits.append({
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"name": rule.name, "target": rule.target,
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"category": rule.category, "kind": rule.kind,
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"priority": rule.priority, "matches": len(found),
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})
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return {"query": query, "hits": hits}
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# -- 评估（Issue #49 雏形：路由准确率离线评估脚本入口） ----------------
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def evaluate(self, samples: List[Dict[str, object]]) -> Dict[str, object]:
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"""离线评估路由准确率（目标 ≥ 96.5%）。
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`samples`：`[{"query": str, "expected": "local"|"cloud"|"block",
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"dlp_blocked": bool(可选)}, ...]`。
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返回总体准确率 + 每类明细 + 逐样本记录（供评测报告脚本渲染明细，
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配套 `evaluate_routing.py`，Issue #49 交付）。
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"""
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total = len(samples)
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if total == 0:
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return {"accuracy": 0.0, "correct": 0, "total": 0, "by_target": {}}
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correct = 0
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by_target: Dict[str, Dict[str, int]] = {}
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sample_records: List[Dict[str, object]] = []
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for s in samples:
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expected = str(s["expected"])
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got = self.route(str(s["query"]), dlp_blocked=bool(s.get("dlp_blocked", False)))
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ok = got.target == expected
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if ok:
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correct += 1
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agg = by_target.setdefault(expected, {"correct": 0, "total": 0})
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agg["total"] += 1
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if ok:
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agg["correct"] += 1
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sample_records.append({
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"query": str(s["query"]),
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"expected": expected,
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"actual": got.target,
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"ok": ok,
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"reason": got.reason,
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"rule_name": got.rule_name,
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"category": got.category,
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})
|
||
return {
|
||
"accuracy": round(correct / total, 4),
|
||
"correct": correct,
|
||
"total": total,
|
||
"by_target": by_target,
|
||
"samples": sample_records,
|
||
}
|
||
|
||
def render_evaluation_report(self, report: Dict[str, object],
|
||
threshold: float = 0.965) -> str:
|
||
"""把 `evaluate()` 的结构化报告渲染为 Markdown 文本（评测报告脚本用）。
|
||
|
||
`threshold`：验收准确率阈值（PRD 5.4 / EPIC #6 目标 ≥ 96.5%）。
|
||
"""
|
||
total = int(report.get("total", 0))
|
||
lines: List[str] = [
|
||
"# LLM 网关 · 敏感度路由准确率评测报告",
|
||
"",
|
||
f"- 生成时间：{datetime.now(timezone.utc).isoformat(timespec='seconds')}",
|
||
f"- 路由规则数：{self.rule_count}（内置保底 + 模板资产）",
|
||
f"- 样本总数：{total}",
|
||
]
|
||
if total:
|
||
acc = float(report.get("accuracy", 0.0))
|
||
passed = acc >= threshold
|
||
lines.append(
|
||
"- 路由准确率 {:.2%}｜验收目标 ≥ {:.2%}｜**{}**".format(
|
||
acc, threshold, "达标" if passed else "未达标")
|
||
)
|
||
lines.append("")
|
||
|
||
by_target = report.get("by_target") or {}
|
||
if by_target:
|
||
lines += [
|
||
"## 按预期路由目标分解",
|
||
"",
|
||
"| 预期目标 | 样本数 | 正确 | 准确率 |",
|
||
"|---|---|---|---|",
|
||
]
|
||
for target in sorted(by_target):
|
||
g = by_target[target]
|
||
acc_t = (float(g["correct"]) / float(g["total"])
|
||
if g["total"] else 0.0)
|
||
lines.append("| {} | {} | {} | {:.1%} |".format(
|
||
target, g["total"], g["correct"], acc_t))
|
||
lines.append("")
|
||
|
||
bad = [r for r in report.get("samples", []) if not r.get("ok")]
|
||
if bad:
|
||
lines += ["## 未通过样本明细", ""]
|
||
for i, r in enumerate(bad, 1):
|
||
lines.append("{}. **{expected} → {actual}**（{query}）".format(
|
||
i,
|
||
expected=r.get("expected", "?"),
|
||
actual=r.get("actual", "?"),
|
||
query=r.get("query", "?"),
|
||
))
|
||
lines.append(" - 决策依据：{}（规则：{}）".format(
|
||
r.get("reason", "?"), r.get("rule_name") or "—"))
|
||
lines.append("")
|
||
return "\n".join(lines)
|
||
|
||
# -- 审计 --------------------------------------------------------------
|
||
|
||
def _record(self, decision: RouteDecision) -> None:
|
||
if self.audit:
|
||
self._audit_log.append(decision.to_dict())
|
||
|
||
def drain_audit(self) -> List[Dict[str, object]]:
|
||
"""取走并清空审计记录（对接外部审计管道）。"""
|
||
out, self._audit_log = self._audit_log, []
|
||
return out
|
||
|
||
# -- 只读属性 ----------------------------------------------------------
|
||
|
||
@property
|
||
def rule_count(self) -> int:
|
||
return len(self._rules)
|
||
|
||
@property
|
||
def rule_names(self) -> List[str]:
|
||
return [r.name for r in self._rules]
|
||
|
||
def __repr__(self) -> str: # pragma: no cover - 调试辅助
|
||
return f"<SensitivityRouter rules={self.rule_count} default={self.default_target}>"
|