Janady13/AI_Brain / services/seeder_api/intelligence.py

Source identity

Field	Recorded value
Source type	GitHub source
Original record	Janady13/AI_Brain / services/seeder_api/intelligence.py
Date	Not specified in source
Repository	Janady13/AI_Brain
Revision	cdb497ece2d1a770ca8c83eb1de8923cfaa9eceb
Branch	feature/seeder-engine-tests
Path or archive member	services/seeder_api/intelligence.py
Original SHA-256	bc86e12273878ef039bc28e5809569a0d3607507434d5541aa96d7d2fe4ce91a
Git blob SHA	7cbf38f440bf458433318182fb06055a0e75d4b3
Reading-copy SHA-256	bc86e12273878ef039bc28e5809569a0d3607507434d5541aa96d7d2fe4ce91a

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Recovered source transcript

Download complete source text ↓52 lines · 1.5 KB

#!/usr/bin/env python3
"""
Seeder Intelligence adapters (stable for service import reliability).
"""

from __future__ import annotations

from typing import Any

try:  # pragma: no cover
    from intelligence.analyzer import detect_anomalies as _detect_anomalies
except Exception:  # pragma: no cover
    async def _detect_anomalies(threshold: float = -0.5) -> list[dict]:  # type: ignore
        return []

try:  # pragma: no cover
    from intelligence.autotune import adjust_scheduling as _adjust_scheduling
except Exception:  # pragma: no cover
    async def _adjust_scheduling() -> dict[str, Any]:  # type: ignore
        return {}

try:  # pragma: no cover
    from intelligence.knowledge_sync import export_recent as _export_recent
except Exception:  # pragma: no cover
    async def _export_recent(limit: int = 100) -> list[dict]:  # type: ignore
        return []

try:  # pragma: no cover
    from intelligence.trainer import run_trainer as _run_trainer, train_policies as _train_policies
except Exception:  # pragma: no cover
    async def _train_policies() -> None:  # type: ignore
        return None

    async def _run_trainer(interval: float = 60.0) -> None:  # type: ignore
        return None


detect_anomalies = _detect_anomalies
adjust_scheduling = _adjust_scheduling
export_recent = _export_recent
train_policies = _train_policies
run_trainer = _run_trainer

__all__ = [
    "detect_anomalies",
    "adjust_scheduling",
    "export_recent",
    "train_policies",
    "run_trainer",
]