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FusionAGI/fusionagi/governance/policy_engine.py
Devin AI 445865e429
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fix: deep GPU integration, fix all ruff/mypy issues, add .dockerignore
- Integrate GPU scoring inline into reasoning/multi_path.py (auto-uses GPU when available)
- Integrate GPU deduplication into multi_agent/consensus_engine.py
- Add semantic_search() method to memory/semantic_graph.py with GPU acceleration
- Integrate GPU training into self_improvement/training.py AutoTrainer
- Fix all 758 ruff lint issues (whitespace, import sorting, unused imports, ambiguous vars, undefined names)
- Fix all 40 mypy type errors across the codebase (no-any-return, union-attr, arg-type, etc.)
- Fix deprecated ruff config keys (select/ignore -> [tool.ruff.lint])
- Add .dockerignore to exclude .venv/, tests/, docs/ from Docker builds
- Add type hints and docstrings to verification/outcome.py
- Fix E402 import ordering in witness_agent.py
- Fix F821 undefined names in vector_pgvector.py and native.py
- Fix E741 ambiguous variable names in reflective.py and recommender.py

All 276 tests pass. 0 ruff errors. 0 mypy errors.

Co-Authored-By: Nakamoto, S <defi@defi-oracle.io>
2026-04-28 05:48:37 +00:00

74 lines
2.7 KiB
Python

"""Policy engine: hard constraints independent of LLM for AGI."""
from typing import Any
from fusionagi._logger import logger
from fusionagi.schemas.policy import PolicyEffect, PolicyRule
class PolicyEngine:
"""Evaluates policy rules; higher priority first; first match wins (allow/deny)."""
def __init__(self) -> None:
self._rules: list[PolicyRule] = []
def add_rule(self, rule: PolicyRule) -> None:
self._rules.append(rule)
self._rules.sort(key=lambda r: -r.priority)
logger.debug("PolicyEngine: rule added", extra={"rule_id": rule.rule_id})
def get_rules(self) -> list[PolicyRule]:
"""Return all rules (copy)."""
return list(self._rules)
def get_rule(self, rule_id: str) -> PolicyRule | None:
"""Return rule by id or None."""
for r in self._rules:
if r.rule_id == rule_id:
return r
return None
def update_rule(self, rule_id: str, updates: dict[str, Any]) -> bool:
"""
Update an existing rule by id. Updates can include condition, effect, reason, priority.
Returns True if updated, False if rule_id not found.
"""
for i, r in enumerate(self._rules):
if r.rule_id == rule_id:
allowed = {"condition", "effect", "reason", "priority"}
data = r.model_dump()
for k, v in updates.items():
if k in allowed:
data[k] = v
self._rules[i] = PolicyRule.model_validate(data)
self._rules.sort(key=lambda x: -x.priority)
logger.debug("PolicyEngine: rule updated", extra={"rule_id": rule_id})
return True
return False
def remove_rule(self, rule_id: str) -> bool:
"""Remove a rule by id. Returns True if removed."""
for i, r in enumerate(self._rules):
if r.rule_id == rule_id:
self._rules.pop(i)
logger.debug("PolicyEngine: rule removed", extra={"rule_id": rule_id})
return True
return False
def check(self, action: str, context: dict[str, Any]) -> tuple[bool, str]:
"""
Returns (allowed, reason). Context has e.g. tool_name, domain, data_class, agent_id.
"""
for rule in self._rules:
if self._match(rule.condition, context):
if rule.effect == PolicyEffect.DENY:
return False, rule.reason or "Policy denied"
return True, rule.reason or "Policy allowed"
return True, ""
def _match(self, condition: dict[str, Any], context: dict[str, Any]) -> bool:
for k, v in condition.items():
if context.get(k) != v:
return False
return True