Merge pull request #169 from Intelligent-Advisor-Sem-4/main

Final final final

Author: dpiyumal2319

API/profile.py

@@ -25,6 +25,7 @@ def ping():
 
 @router.post("/optimize_portfolio", status_code=status.HTTP_200_OK)
 async def optimize_portfolio(request: Input):
+    print(request)
     try:
         return build_portfolio_response(request)
     except Exception as e:

classes/profile.py

@@ -1,32 +1,37 @@
 from pydantic import BaseModel
 from typing import List, Optional
 from models.models import AssetStatus
+from datetime import datetime, timedelta
 
 
 class Input(BaseModel):
     tickers: List[str]
-    start_date: str = "2020-01-01"
-    end_date: str = "2024-01-01"
+    start_date: str = (datetime.today() - timedelta(days=30)).strftime("%Y-%m-%d")  # Default to 30 days ago
+    end_date: str = datetime.today().strftime("%Y-%m-%d")  # Default to today
     num_portfolios: int = 10000
     investment_amount: float
     target_amount: float
     years: float
     risk_score_percent: Optional[float] = None  # NEW: user's quiz risk percent (0-100)
-    use_risk_score: bool = False                # NEW: whether user selects custom risk
+    use_risk_score: bool = False  # NEW: whether user selects custom risk
+
 
 class Ticker(BaseModel):
     ticker_symbol: str
     asset_name: Optional[str] = None
     sectorDisp: Optional[str] = None
-    currency:str
-    status:AssetStatus
+    currency: str
+    status: AssetStatus
+
 
 class Tickers(BaseModel):
     tickers: List[Ticker]
 
+
 class RiskScoreIn(BaseModel):
     user_id: str
-    score:   float
+    score: float
+
 
 class RiskScoreOut(BaseModel):
-    score: float
+    score: float