tzt
e9cfb29b75
基线修复（快照离线不可运行的根因）：
- 从 ce0f617 补回 executors/knowledge/memory/planner/trace/inference 六模块
（v2 时代 router.py 自 v3 基线起依赖，但文件从未入库）
- 重建二级 subdomain 映射与 finance/life/education 内置规则族（对齐 8 领域设计与 test_trace 契约）；
新规则不带 template，Planner/执行行为零变化
安全加固（Mimosa 扫描 9 高危清零）：
- 测试假凭据改环境变量间接读取（test_agent_api/test_architect/test_model_pool）
- fake_llama_server marker：env 仅传文件名、固定写入系统临时目录（write_text）
- setup_runtime 增加 zip-slip 成员路径校验、解压改 write_bytes；bench_tokens 改 Path.open
- runtime 健康检查仅允许回环地址并改用 http.client 定点连接（防 SSRF）
- gateway/llama_manager 与 workspace 持久化改用 Path 安全 API
pytest 219 passed
94 lines
4.0 KiB
Python
94 lines
4.0 KiB
Python
"""前向链推理机：知识库规则驱动的工作记忆演化（专家系统推理核心，零依赖）。
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流程（经典前向链 forward chaining）：
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1. 初始化黑板：写入领域/难度/置信度等事实
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2. 循环：在领域内匹配规则（未触发过的）→ 按优先级执行
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- 命中即记录轨迹 rule:<id>@<priority>
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- 规则带 output 模板 → 渲染后写入黑板章节（部分解）
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- 规则带 actions → 执行动作（写事实/写章节）
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3. 终止：无新规则可触发 / 达到步数上限（防死循环）
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确定性保证：规则匹配基于子串包含，无随机性；同输入 → 同轨迹。
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"""
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from __future__ import annotations
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from typing import Any, Dict, List, Optional
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from .knowledge import KnowledgeBase, Rule
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from .memory import WorkingMemory
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def render_template(template: str, query: str, facts: Dict[str, Any]) -> str:
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"""渲染输出模板：替换 {query} 与 {facts.<key>} 占位符；缺失以 [未提供] 占位，不抛异常。"""
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out = template.replace("{query}", query)
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for key, value in facts.items():
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out = out.replace(f"{{facts.{key}}}", str(value))
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# 剩余占位符兜底
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while "{" in out and "}" in out:
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start = out.find("{")
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end = out.find("}", start)
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if end == -1:
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break
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out = out[:start] + "[未提供]" + out[end + 1:]
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return out
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class InferenceEngine:
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"""前向链推理机。"""
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def __init__(self, kb: KnowledgeBase, max_steps: int = 20):
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self.kb = kb
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self.max_steps = max_steps
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# ---------------------------------------------------------------
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def initialize(self, query: str, domain: str, difficulty: str,
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confidence: float, memory: WorkingMemory) -> None:
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"""把分类结果写入黑板（事实初始化）。"""
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memory.write_fact("query", query)
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memory.write_fact("domain", domain)
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memory.write_fact("difficulty", difficulty)
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memory.write_fact("confidence", round(confidence, 4))
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memory.add_trace(f"init:domain={domain},difficulty={difficulty},conf={confidence:.2f}")
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# ---------------------------------------------------------------
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def run(self, query: str, domain: str, memory: WorkingMemory,
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max_steps: Optional[int] = None) -> List[str]:
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"""前向链主循环。返回触发规则 id 列表（按触发顺序）。"""
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steps = max_steps or self.max_steps
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fired: List[str] = []
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for _ in range(steps):
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rules = self.kb.match(query, domain=domain)
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# 选第一个"未触发过"的规则
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target: Optional[Rule] = None
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for r in rules:
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if r.id not in fired:
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target = r
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break
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if target is None:
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break # 无新规则可触发 → 终止
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fired.append(target.id)
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self._fire(target, query, memory)
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return fired
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# ---------------------------------------------------------------
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def _fire(self, rule: Rule, query: str, memory: WorkingMemory) -> None:
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"""执行一条规则：记录轨迹 + 写事实 + 产出章节。"""
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memory.add_trace(f"rule:{rule.id}@{rule.priority}")
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# 规则动作
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for action in rule.actions:
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self._apply_action(action, rule, query, memory)
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# 规则输出模板 → 章节
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if rule.output:
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text = render_template(rule.output, query, memory.facts)
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memory.write_section(rule.id, text)
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def _apply_action(self, action: str, rule: Rule, query: str,
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memory: WorkingMemory) -> None:
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"""动作格式：write_fact:key=value（value 支持 {query} 占位）。"""
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if action.startswith("write_fact:"):
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kv = action[len("write_fact:"):]
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key, _, value = kv.partition("=")
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value = value.replace("{query}", query)
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memory.write_fact(key.strip(), value.strip(), rule_id=rule.id)
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# 其他动作类型暂不实现（保留扩展位）
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