metatrader-mcp-server

from fastapi import APIRouter, HTTPException, Request, Query
from typing import List, Dict, Any, Optional
from datetime import datetime

router = APIRouter()

@router.get("/deals", response_model=List[Dict[str, Any]])
async def history_deals(
    request: Request,
    from_date: Optional[datetime] = Query(None, description="Start date (ISO format)"),
    to_date: Optional[datetime] = Query(None, description="End date (ISO format)"),
    symbol: Optional[str] = Query(None, description="Symbol filter, e.g., 'EURUSD'")
):
    """
    Fetches historical deals and returns them as a list of records for easy data analysis and manipulation.

    Input:
        from_date (Optional[datetime]): Start date (ISO format)
        to_date (Optional[datetime]): End date (ISO format)
        symbol (Optional[str]): Symbol filter, e.g., 'EURUSD'

    Response:
        List[Dict[str, Any]]: List of deals as dictionaries.
    """
    client = request.app.state.client
    try:
        df = client.history.get_deals_as_dataframe(from_date=from_date, to_date=to_date, group=symbol)
        return df.to_dict(orient='records')
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))

@router.get("/orders", response_model=List[Dict[str, Any]])
async def history_orders(
    request: Request,
    from_date: Optional[datetime] = Query(None, description="Start date (ISO format)"),
    to_date: Optional[datetime] = Query(None, description="End date (ISO format)"),
    symbol: Optional[str] = Query(None, description="Symbol filter, e.g., 'EURUSD'")
):
    """
    Fetches historical orders and returns them as a list of records for easy data analysis and reporting.

    Input:
        from_date (Optional[datetime]): Start date (ISO format)
        to_date (Optional[datetime]): End date (ISO format)
        symbol (Optional[str]): Symbol filter, e.g., 'EURUSD'

    Response:
        List[Dict[str, Any]]: List of orders as dictionaries.
    """
    client = request.app.state.client
    try:
        df = client.history.get_orders_as_dataframe(from_date=from_date, to_date=to_date, group=symbol)
        return df.to_dict(orient='records')
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))