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- 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>
70 lines
2.3 KiB
Python
70 lines
2.3 KiB
Python
"""JSON file persistence backend for StateManager."""
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import json
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from pathlib import Path
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from typing import Any
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from fusionagi._logger import logger
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from fusionagi.core.persistence import StateBackend
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from fusionagi.schemas.task import Task, TaskState
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class JsonFileBackend(StateBackend):
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"""
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StateBackend that persists tasks and traces to a JSON file.
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Use with StateManager(backend=JsonFileBackend(path="state.json")).
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File is created on first write; directory must exist or be creatable.
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"""
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def __init__(self, path: str | Path) -> None:
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self._path = Path(path)
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self._tasks: dict[str, dict[str, Any]] = {}
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self._traces: dict[str, list[dict[str, Any]]] = {}
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self._load()
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def _load(self) -> None:
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if not self._path.exists():
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return
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try:
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data = json.loads(self._path.read_text(encoding="utf-8"))
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self._tasks = data.get("tasks", {})
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self._traces = data.get("traces", {})
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except Exception as e:
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logger.warning("JsonFileBackend load failed", extra={"path": str(self._path), "error": str(e)})
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def _save(self) -> None:
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self._path.parent.mkdir(parents=True, exist_ok=True)
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data = {"tasks": self._tasks, "traces": self._traces}
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self._path.write_text(json.dumps(data, indent=2), encoding="utf-8")
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def get_task(self, task_id: str) -> Task | None:
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raw = self._tasks.get(task_id)
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if raw is None:
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return None
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try:
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return Task.model_validate(raw)
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except Exception:
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return None
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def set_task(self, task: Task) -> None:
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self._tasks[task.task_id] = task.model_dump(mode="json")
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self._save()
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def get_task_state(self, task_id: str) -> TaskState | None:
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task = self.get_task(task_id)
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return task.state if task else None
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def set_task_state(self, task_id: str, state: TaskState) -> None:
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task = self.get_task(task_id)
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if task:
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updated = task.model_copy(update={"state": state})
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self.set_task(updated)
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def append_trace(self, task_id: str, entry: dict[str, Any]) -> None:
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self._traces.setdefault(task_id, []).append(entry)
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self._save()
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def get_trace(self, task_id: str) -> list[dict[str, Any]]:
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return list(self._traces.get(task_id, []))
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