Some checks failed
- 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>
48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
"""Outcome verification: check step results for success or failure."""
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from __future__ import annotations
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from typing import Any, Callable
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from fusionagi._logger import logger
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class OutcomeVerifier:
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"""Verifies step outcomes using a pluggable verification function.
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Args:
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verify_fn: Optional callable ``(step_result, context) -> bool``.
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When ``None``, defaults to checking for an ``"error"`` key.
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"""
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def __init__(
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self,
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verify_fn: Callable[[Any, dict[str, Any]], bool] | None = None,
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) -> None:
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self._verify_fn = verify_fn
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def verify(
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self,
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step_result: Any,
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context: dict[str, Any] | None = None,
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) -> bool:
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"""Verify a step result.
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Args:
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step_result: The result to verify.
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context: Optional context dict for the verification function.
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Returns:
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``True`` if the result is considered successful.
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"""
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ctx = context or {}
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if self._verify_fn:
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try:
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return self._verify_fn(step_result, ctx)
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except Exception:
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logger.exception("OutcomeVerifier failed")
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return False
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if isinstance(step_result, dict) and step_result.get("error"):
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return False
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return True
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