kbt-devops
fe76bc7629
Implements FastAPI backend with ML model support for energy trading, including price prediction models and RL-based battery trading policy. Features dashboard, trading, backtest, and settings API routes with WebSocket support for real-time updates.
27 lines
819 B
Python
27 lines
819 B
Python
from fastapi import APIRouter
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from app.config import settings
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from app.models.schemas import AppSettings
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router = APIRouter()
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@router.get("", response_model=AppSettings)
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async def get_settings():
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return AppSettings(
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battery_min_reserve=settings.BATTERY_MIN_RESERVE,
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battery_max_charge=settings.BATTERY_MAX_CHARGE,
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arbitrage_min_spread=settings.ARBITRAGE_MIN_SPREAD,
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mining_margin_threshold=settings.MINING_MARGIN_THRESHOLD,
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)
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@router.post("")
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async def update_settings(settings_update: dict):
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updated_fields = []
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for key, value in settings_update.items():
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if hasattr(settings, key.upper()):
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setattr(settings, key.upper(), value)
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updated_fields.append(key)
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return {"message": "Settings updated", "updated_fields": updated_fields}
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