Add FastAPI backend for energy trading system

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.

backend/app/api/routes/__init__.py

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+from app.api.routes import dashboard, backtest, models, trading, settings
+
+__all__ = ["dashboard", "backtest", "models", "trading", "settings"]

backend/app/api/routes/backtest.py

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+from typing import List, Optional
+from fastapi import APIRouter, BackgroundTasks, HTTPException
+from datetime import datetime
+from app.models.schemas import (
+    BacktestConfig,
+    BacktestMetrics,
+    BacktestStatusEnum,
+    Trade,
+)
+from app.utils.logger import get_logger
+import uuid
+
+logger = get_logger(__name__)
+
+router = APIRouter()
+
+_backtest_store: dict = {}
+_backtest_results: dict = {}
+
+
+@router.post("/start")
+async def start_backtest(config: BacktestConfig, name: Optional[str] = None):
+    backtest_id = str(uuid.uuid4())
+    
+    _backtest_store[backtest_id] = {
+        "backtest_id": backtest_id,
+        "name": name or f"Backtest {backtest_id[:8]}",
+        "status": BacktestStatusEnum.RUNNING,
+        "config": config.dict(),
+        "created_at": datetime.utcnow(),
+        "started_at": datetime.utcnow(),
+        "completed_at": None,
+        "error_message": None,
+    }
+
+    logger.info(f"Backtest started: {backtest_id}")
+
+    return {
+        "backtest_id": backtest_id,
+        "status": BacktestStatusEnum.RUNNING,
+        "name": _backtest_store[backtest_id]["name"],
+    }
+
+
+@router.get("/{backtest_id}")
+async def get_backtest_status(backtest_id: str):
+    if backtest_id not in _backtest_store:
+        raise HTTPException(status_code=404, detail=f"Backtest {backtest_id} not found")
+
+    backtest = _backtest_store[backtest_id]
+    result = _backtest_results.get(backtest_id)
+
+    return {
+        "status": backtest["status"],
+        "name": backtest["name"],
+        "created_at": backtest["created_at"],
+        "started_at": backtest["started_at"],
+        "completed_at": backtest["completed_at"],
+        "error_message": backtest["error_message"],
+        "results": result if backtest["status"] == BacktestStatusEnum.COMPLETED else None,
+    }
+
+
+@router.get("/{backtest_id}/results")
+async def get_backtest_results(backtest_id: str):
+    if backtest_id not in _backtest_results:
+        raise HTTPException(status_code=404, detail=f"Results for backtest {backtest_id} not found")
+
+    return _backtest_results[backtest_id]
+
+
+@router.get("/{backtest_id}/trades")
+async def get_backtest_trades(backtest_id: str, limit: int = 100):
+    if backtest_id not in _backtest_store:
+        raise HTTPException(status_code=404, detail=f"Backtest {backtest_id} not found")
+
+    trades = _backtest_results.get(backtest_id, {}).get("trades", [])
+    return {"backtest_id": backtest_id, "trades": trades[-limit:], "total": len(trades)}
+
+
+@router.get("/history")
+async def get_backtest_history():
+    backtests = []
+    for backtest_id, backtest in _backtest_store.items():
+        backtests.append(
+            {
+                "backtest_id": backtest_id,
+                "name": backtest["name"],
+                "status": backtest["status"],
+                "created_at": backtest["created_at"],
+                "completed_at": backtest["completed_at"],
+            }
+        )
+
+    return {"backtests": backtests, "total": len(backtests)}
+
+
+@router.delete("/{backtest_id}")
+async def delete_backtest(backtest_id: str):
+    if backtest_id not in _backtest_store:
+        raise HTTPException(status_code=404, detail=f"Backtest {backtest_id} not found")
+
+    del _backtest_store[backtest_id]
+    if backtest_id in _backtest_results:
+        del _backtest_results[backtest_id]
+
+    logger.info(f"Backtest deleted: {backtest_id}")
+    return {"message": f"Backtest {backtest_id} deleted"}

backend/app/api/routes/dashboard.py

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+from typing import List
+from fastapi import APIRouter, Depends, Query
+from app.models.schemas import DashboardSummary, ArbitrageOpportunity, PriceData, BatteryState
+from app.services import DataService
+
+router = APIRouter()
+data_service = DataService()
+
+
+@router.on_event("startup")
+async def startup():
+    await data_service.initialize()
+
+
+@router.get("/summary", response_model=DashboardSummary)
+async def get_summary():
+    summary = data_service.get_dashboard_summary()
+    return DashboardSummary(**summary)
+
+
+@router.get("/prices")
+async def get_latest_prices():
+    return {"regions": data_service.get_latest_prices()}
+
+
+@router.get("/prices/history")
+async def get_price_history(
+    region: str = Query(..., description="Region code (FR, BE, DE, NL, UK)"),
+    start: str = Query(None, description="Start date (YYYY-MM-DD)"),
+    end: str = Query(None, description="End date (YYYY-MM-DD)"),
+    limit: int = Query(1000, description="Maximum number of records"),
+):
+    data = data_service.get_price_history(region, start, end, limit)
+    return {"region": region, "data": data}
+
+
+@router.get("/battery")
+async def get_battery_states():
+    batteries = data_service.get_battery_states()
+    return {"batteries": batteries}
+
+
+@router.get("/arbitrage")
+async def get_arbitrage_opportunities(
+    min_spread: float = Query(None, description="Minimum spread in EUR/MWh")
+):
+    opportunities = data_service.get_arbitrage_opportunities(min_spread)
+    return {"opportunities": opportunities, "count": len(opportunities)}

backend/app/api/routes/models.py

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+from typing import List
+from fastapi import APIRouter, HTTPException
+from datetime import datetime
+from app.models.schemas import ModelInfo, TrainingRequest, TrainingStatus, PredictionResponse
+from app.services import MLService
+import uuid
+
+router = APIRouter()
+ml_service = MLService()
+
+_training_store: dict = {}
+
+
+@router.get("", response_model=List[ModelInfo])
+async def list_models():
+    return ml_service.list_models()
+
+
+@router.post("/train")
+async def train_model(request: TrainingRequest):
+    training_id = f"training_{uuid.uuid4().hex[:8]}"
+
+    _training_store[training_id] = TrainingStatus(
+        training_id=training_id,
+        status="pending",
+        progress=0.0,
+        started_at=datetime.utcnow(),
+    )
+
+    return {"training_id": training_id, "status": _training_store[training_id]}
+
+
+@router.get("/{training_id}/status", response_model=TrainingStatus)
+async def get_training_status(training_id: str):
+    if training_id not in _training_store:
+        raise HTTPException(status_code=404, detail=f"Training job {training_id} not found")
+
+    return _training_store[training_id]
+
+
+@router.get("/{model_id}/metrics")
+async def get_model_metrics(model_id: str):
+    try:
+        metrics = ml_service.get_model_metrics(model_id)
+        return {"model_id": model_id, "metrics": metrics}
+    except ValueError as e:
+        raise HTTPException(status_code=404, detail=str(e))
+
+
+@router.post("/predict", response_model=PredictionResponse)
+async def predict(
+    model_id: str,
+    timestamp: datetime,
+    features: dict = None,
+):
+    try:
+        result = ml_service.predict(model_id, timestamp, features)
+        return PredictionResponse(**result)
+    except ValueError as e:
+        raise HTTPException(status_code=404, detail=str(e))
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+
+@router.get("/{model_id}/feature-importance")
+async def get_feature_importance(model_id: str):
+    try:
+        importance = ml_service.get_feature_importance(model_id)
+        return {"model_id": model_id, "feature_importance": importance}
+    except ValueError as e:
+        raise HTTPException(status_code=404, detail=str(e))

backend/app/api/routes/settings.py

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+from fastapi import APIRouter
+from app.config import settings
+from app.models.schemas import AppSettings
+
+router = APIRouter()
+
+
+@router.get("", response_model=AppSettings)
+async def get_settings():
+    return AppSettings(
+        battery_min_reserve=settings.BATTERY_MIN_RESERVE,
+        battery_max_charge=settings.BATTERY_MAX_CHARGE,
+        arbitrage_min_spread=settings.ARBITRAGE_MIN_SPREAD,
+        mining_margin_threshold=settings.MINING_MARGIN_THRESHOLD,
+    )
+
+
+@router.post("")
+async def update_settings(settings_update: dict):
+    updated_fields = []
+    for key, value in settings_update.items():
+        if hasattr(settings, key.upper()):
+            setattr(settings, key.upper(), value)
+            updated_fields.append(key)
+
+    return {"message": "Settings updated", "updated_fields": updated_fields}

backend/app/api/routes/trading.py

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+from typing import List
+from fastapi import APIRouter, HTTPException
+from app.models.enums import StrategyEnum
+from app.models.schemas import StrategyStatus
+from app.services import StrategyService
+
+router = APIRouter()
+strategy_service = StrategyService()
+
+
+@router.get("/strategies", response_model=List[StrategyStatus])
+async def get_strategies():
+    return await strategy_service.get_all_strategies()
+
+
+@router.post("/strategies")
+async def toggle_strategy(strategy: StrategyEnum, action: str):
+    if action not in ["start", "stop"]:
+        raise HTTPException(status_code=400, detail="Action must be 'start' or 'stop'")
+
+    status = await strategy_service.toggle_strategy(strategy, action)
+    return {"status": status}
+
+
+@router.get("/positions")
+async def get_positions():
+    return {"positions": [], "total": 0}