feat: 完成 issue #6 LLM 网关 + RAG 模板化(混合网关主编排)

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# -*- coding: utf-8 -*-
"""iAOP-Core · LLM 网关 —— 敏感度路由规则引擎(EPIC #6 主体,Issue #43 雏形)。
对应 PRD 5.4「④ LLM 网关 + RAG」与 EPIC #6:
本地 70B(敏感/核心)+ 云端 API(脱敏/通用)**混合**,安全分级路由。
本模块实现**路由决策层**:
- 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**,
输出路由目标:`local`(敏感/核心,数据不出厂)/ `cloud`(脱敏/通用)/
`block`(触发高危规则,直接拦截,转人工)。
- 分级规则为**配置点**:`config/router.template.yaml`,换行业只改资产,
内核零改动(对齐 dlp / rag-kb 模板化思想)。
- 路由决策前**强制先过 DLP 出站检查**:query 若命中 DLP block 规则,
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)。
设计说明(供子任务 #43 继续细化):
- 本版实现规则匹配与分级、模板加载、评估准确率的离线脚本接口;
- 子任务 #43 将在此基础上补齐敏感度词库覆盖与准确率 ≥ 96.5% 的调优基线。
测试:`python -m unittest discover -s tests -v`(在 core/llm-gateway 目录下执行)。
"""
from __future__ import annotations
import re
import uuid
from dataclasses import dataclass, field
from datetime import datetime, timezone
from typing import Dict, List, Optional, Tuple
# ---------------------------------------------------------------------------
# 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,
# 保持模块零耦合)。足以解析 `config/router.template.yaml` 模板资产。
# ---------------------------------------------------------------------------
def _parse_scalar(text: str) -> str:
"""去掉标量两侧引号与行内注释(`key: value # comment`)。"""
t = text.split(" #", 1)[0].strip()
if len(t) >= 2 and t[0] == t[-1] and t[0] in ("'", '"'):
return t[1:-1]
return t
def _strip_comments(lines: List[str]) -> List[Tuple[str, int]]:
"""剔除空行与整行注释,保留行号(1 起)用于报错定位。"""
out = []
for i, ln in enumerate(lines):
s = ln.strip()
if not s or s.startswith("#"):
continue
out.append((ln, i + 1))
return out
def _parse_node(lines: List[Tuple[str, int]], i: int, indent: int):
"""递归解析从 lines[i] 开始、缩进为 `indent` 的一个节点。
返回 `(value, next_i)`:value 为 dict / list / str,next_i 为下一个
未消费行的下标。
"""
text, no = lines[i]
lead = len(text) - len(text.lstrip(" "))
# ---- list 节点:`- item` 或 `- key: val`(map 项) ----
if text.lstrip(" ").startswith("- "):
items: List[object] = []
while i < len(lines):
t, no2 = lines[i]
stripped = t.lstrip(" ")
if not stripped.startswith("- "):
break
lead_j = len(t) - len(t.lstrip(" "))
if lead_j != indent:
break
item_text = stripped[2:].strip()
if not item_text:
raise ValueError(f"router.yaml 第 {no2} 行:list 项为空")
if ":" in item_text:
map_indent = len(t) - len(t.lstrip(" ")) + 2
lines[i] = (" " * map_indent + item_text, no2)
v, i = _parse_node(lines, i, map_indent)
items.append(v)
else:
items.append(_parse_scalar(item_text))
i += 1
return items, i
# ---- map 节点:`key: value` / `key:`(嵌套值) ----
result: Dict[str, object] = {}
while i < len(lines):
t, no = lines[i]
lead_j = len(t) - len(t.lstrip(" "))
if lead_j < indent or t.lstrip(" ").startswith("- "):
break
if lead_j > indent:
raise ValueError(f"router.yaml 第 {no} 行缩进异常(期望 {indent},实际 {lead_j})")
if ":" not in t:
raise ValueError(f"router.yaml 第 {no} 行不是合法键值对:{t!r}")
key, _, rest = t.partition(":")
key = key.strip()
rest = rest.strip()
if rest:
result[key] = _parse_scalar(rest)
i += 1
continue
if i + 1 >= len(lines):
raise ValueError(f"router.yaml 第 {no} 行 {key!r} 缺少值")
sub_indent = len(lines[i + 1][0]) - len(lines[i + 1][0].lstrip(" "))
if sub_indent <= indent:
raise ValueError(f"router.yaml 第 {no} 行 {key!r} 缺少值(无嵌套内容)")
v, i = _parse_node(lines, i + 1, sub_indent)
result[key] = v
return result, i
def _load_yaml_text(text: str) -> Dict[str, object]:
"""解析 YAML 子集 → 嵌套 dict/list。顶层必须为 map。"""
lines = _strip_comments(text.splitlines())
if not lines:
return {}
top_indent = len(lines[0][0]) - len(lines[0][0].lstrip(" "))
value, next_i = _parse_node(lines, 0, top_indent)
if not isinstance(value, dict):
raise ValueError("router.yaml 顶层必须是 map")
if next_i < len(lines):
raise ValueError(
f"router.yaml 第 {lines[next_i][1]} 行:顶层存在多个节点(缩进不一致)"
)
return value
# ---------------------------------------------------------------------------
# 路由目标与规则模型
# ---------------------------------------------------------------------------
class RouteTarget:
"""路由目标常量。"""
LOCAL = "local" # 敏感/核心 → 本地 70B(数据不出厂)
CLOUD = "cloud" # 脱敏/通用 → 云端 API
BLOCK = "block" # 高危 → 直接拦截,转人工确认
@dataclass(frozen=True)
class RouterRule:
"""一条敏感度路由规则。
- `target`:命中后路由到哪(local / cloud / block);
- `kind`:`keyword`(大小写不敏感子串)或 `regex`(正则);
- `category`:敏感类别(工艺参数 / 个人信息 / 高危指令等),用于审计分组。
"""
name: str
category: str
kind: str
pattern: str
target: str
description: str = ""
_compiled: Optional["re.Pattern[str]"] = field(default=None, repr=False, compare=False)
@classmethod
def from_mapping(cls, m: Dict[str, object]) -> "RouterRule":
name = str(m.get("name", ""))
if not name:
raise ValueError("router 规则缺少 name")
kind = str(m.get("kind", "keyword"))
pattern = str(m.get("pattern", ""))
if not pattern:
raise ValueError(f"router 规则 {name} 缺少 pattern")
target = str(m.get("target", RouteTarget.LOCAL))
if target not in (RouteTarget.LOCAL, RouteTarget.CLOUD, RouteTarget.BLOCK):
raise ValueError(f"router 规则 {name} 的 target 非法:{target!r}")
if kind not in ("keyword", "regex"):
raise ValueError(f"router 规则 {name} 的 kind 非法:{kind!r}")
return cls(
name=name,
category=str(m.get("category", "general")),
kind=kind,
pattern=pattern,
target=target,
description=str(m.get("description", "")),
)
def _compiled_regex(self) -> "re.Pattern[str]":
if self.kind == "regex":
return re.compile(self.pattern, re.IGNORECASE)
return re.compile(re.escape(self.pattern), re.IGNORECASE)
def find(self, text: str) -> List[Tuple[str, int, int]]:
"""返回 (匹配文本, 起始, 结束) 列表;空串 pattern 返回空。"""
if not self.pattern:
return []
return [(m.group(0), m.start(), m.end()) for m in self._compiled_regex().finditer(text)]
@dataclass(frozen=True)
class RouteDecision:
"""一次路由决策结果(含审计所需上下文)。"""
query: str
target: str
reason: str # rule_hit / no_rule / dlp_blocked
rule_name: Optional[str] = None # 命中的规则(rule_hit 时)
category: Optional[str] = None
decision_id: str = field(default_factory=lambda: uuid.uuid4().hex[:12])
created_at: str = field(default_factory=lambda: datetime.now(timezone.utc).isoformat())
def to_dict(self) -> Dict[str, object]:
return {
"decision_id": self.decision_id,
"created_at": self.created_at,
"query": self.query,
"target": self.target,
"reason": self.reason,
"rule_name": self.rule_name,
"category": self.category,
}
# ---------------------------------------------------------------------------
# 敏感度路由引擎
# ---------------------------------------------------------------------------
class SensitivityRouter:
"""敏感度路由引擎:对 query 做分级路由(local / cloud / block)。
路由优先级(fail-closed):
1. DLP 出站检查拦截 → `block`(转发人工,绝不发云端);
2. 命中 `block` 路由规则 → `block`;
3. 命中 `local` 路由规则 → `local`(敏感优先本地,规则可覆盖 cloud);
4. 命中 `cloud` 规则 → `cloud`;
5. 未命中任何规则 → 默认 `local`(保守:未知 = 敏感,数据不出厂)。
"""
# 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。
ROUTER_DEFAULT_RULES: Tuple[RouterRule, ...] = (
RouterRule(
name="rt_id_card", category="pii", kind="regex",
pattern=r"\d{17}[\dXx]", target=RouteTarget.LOCAL,
description="身份证号(敏感,走本地)",
),
RouterRule(
name="rt_mobile", category="pii", kind="regex",
pattern=r"1[3-9]\d{9}", target=RouteTarget.LOCAL,
description="手机号(敏感,走本地)",
),
RouterRule(
name="rt_emergency_cmd", category="safety", kind="keyword",
pattern="停机", target=RouteTarget.BLOCK,
description="停机等安全指令(高危,转人工)",
),
)
def __init__(self, rules: Optional[List[RouterRule]] = None,
default_target: str = RouteTarget.LOCAL,
audit: bool = True) -> None:
# 内置保底 + 模板规则(同名覆盖内置:模板定制优先)
merged: Dict[str, RouterRule] = {r.name: r for r in self.ROUTER_DEFAULT_RULES}
for r in (rules or []):
merged[r.name] = r
self._rules: List[RouterRule] = list(merged.values())
self.default_target = default_target
self.audit = audit
self._audit_log: List[Dict[str, object]] = []
@classmethod
def from_template_config(cls, path: str,
default_target: str = RouteTarget.LOCAL) -> "SensitivityRouter":
"""从模板资产加载路由规则(`config/router.template.yaml`)。"""
with open(path, "r", encoding="utf-8") as fh:
raw = _load_yaml_text(fh.read())
rules = []
for m in raw.get("rules", []):
if isinstance(m, dict):
rules.append(RouterRule.from_mapping(m))
return cls(rules=rules, default_target=default_target)
# -- 决策 --------------------------------------------------------------
def route(self, query: str, dlp_blocked: bool = False) -> RouteDecision:
"""对单条 query 做路由决策。
`dlp_blocked`:上游 DLP 出站检查结果(true = 已拦截)。
命中 block 或 DLP 拦截时返回 `block`(fail-closed)。
"""
# 1) DLP 已拦截 → 直接 block
if dlp_blocked:
decision = RouteDecision(
query=query, target=RouteTarget.BLOCK,
reason="dlp_blocked", category="dlp",
)
self._record(decision)
return decision
# 2) 逐条规则(模板配置顺序 = 优先级)
for rule in self._rules:
if rule.find(query):
decision = RouteDecision(
query=query, target=rule.target,
reason="rule_hit", rule_name=rule.name,
category=rule.category,
)
self._record(decision)
return decision
# 3) 无规则命中 → 保守默认
decision = RouteDecision(
query=query, target=self.default_target, reason="no_rule",
)
self._record(decision)
return decision
# -- 评估(Issue #49 雏形:路由准确率离线评估脚本入口) ----------------
def evaluate(self, samples: List[Dict[str, object]]) -> Dict[str, object]:
"""离线评估路由准确率(目标 ≥ 96.5%)。
`samples`:`[{"query": str, "expected": "local"|"cloud"|"block"}, ...]`。
返回总体准确率 + 每类明细。子任务 #49 将扩展为评测集与报表脚本。
"""
total = len(samples)
if total == 0:
return {"accuracy": 0.0, "correct": 0, "total": 0, "by_target": {}}
correct = 0
by_target: Dict[str, Dict[str, int]] = {}
for s in samples:
expected = str(s["expected"])
got = self.route(str(s["query"]), dlp_blocked=bool(s.get("dlp_blocked", False)))
ok = got.target == expected
if ok:
correct += 1
agg = by_target.setdefault(expected, {"correct": 0, "total": 0})
agg["total"] += 1
if ok:
agg["correct"] += 1
return {
"accuracy": round(correct / total, 4),
"correct": correct,
"total": total,
"by_target": by_target,
}
# -- 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}>"