Update routes/dashboard_home.py

routes/dashboard_home.py

@@ -6,8 +6,7 @@ import pytz
 from fastapi import APIRouter, HTTPException, Header, Query
 from datetime import datetime, timedelta
 from dateutil.relativedelta import relativedelta
-from typing import Dict, Any, Optional
-from pydantic import BaseModel
+from typing import Dict, Any
 
 router = APIRouter()
 
@@ -30,11 +29,6 @@ SUPABASE_HEADERS = {
 logging.basicConfig(level=logging.INFO)
 logger = logging.getLogger(__name__)
 
-# Modelo para requisições com período de tempo opcional
-class DateRangeRequest(BaseModel):
-    start_date: Optional[str] = None  # Formato: 'YYYY-MM-DD'
-    end_date: Optional[str] = None    # Formato: 'YYYY-MM-DD'
-
 def verify_admin_token(user_token: str) -> str:
     """Verifica se o token pertence a um administrador"""
     headers = {
@@ -347,68 +341,4 @@ def get_admin_dashboard(
         
     except Exception as e:
         logger.error(f"❌ Erro ao gerar dashboard administrativo: {str(e)}")
-        raise HTTPException(status_code=500, detail=str(e))
-
-@router.post("/admin/dashboard/custom_period")
-def get_custom_period_dashboard(
-    date_range: DateRangeRequest,
-    user_token: str = Header(None, alias="User-key")
-):
-    """
-    Endpoint para dashboard administrativo com métricas de faturamento
-    para um período personalizado
-    """
-    try:
-        # Verificar se é um administrador
-        user_id = verify_admin_token(user_token)
-        
-        # Converter datas para timestamps
-        start_timestamp = None
-        end_timestamp = None
-        
-        if date_range.start_date:
-            start_date = datetime.fromisoformat(date_range.start_date)
-            start_timestamp = int(start_date.timestamp())
-        
-        if date_range.end_date:
-            # Se temos apenas a data, queremos incluir o dia inteiro
-            end_date = datetime.fromisoformat(date_range.end_date)
-            end_date = datetime(end_date.year, end_date.month, end_date.day, 23, 59, 59)
-            end_timestamp = int(end_date.timestamp())
-        
-        # Obter dados gerais de faturamento
-        revenue_data = get_total_platform_revenue(start_timestamp, end_timestamp)
-        transfer_data = get_platform_transfers(start_timestamp, end_timestamp)
-        
-        # Calcular divisão de receita entre app e estilistas
-        revenue_share = get_app_revenue_share(
-            revenue_data["successful_revenue"],
-            transfer_data["total_transferred_to_stylists"]
-        )
-        
-        # Obter dados de usuários
-        user_data = get_platform_users()
-        
-        return {
-            "total_revenue": revenue_data["successful_revenue"],
-            "failed_revenue": revenue_data["failed_revenue"],
-            "total_transferred_to_stylists": transfer_data["total_transferred_to_stylists"],
-            "app_revenue": revenue_share["app_revenue"],
-            "app_revenue_percentage": revenue_share["app_percentage"],
-            "stylists_revenue_percentage": revenue_share["stylists_percentage"],
-            "payment_count": revenue_data["payment_count"],
-            "transfer_count": transfer_data["transfer_count"],
-            "currency": "BRL",
-            "period": {
-                "start_date": date_range.start_date,
-                "end_date": date_range.end_date
-            },
-            "users": user_data
-        }
-        
-    except HTTPException as he:
-        raise he
-        
-    except Exception as e:
-        logger.error(f"❌ Erro ao gerar dashboard para período personalizado: {str(e)}")
         raise HTTPException(status_code=500, detail=str(e))