from fastapi import FastAPI, HTTPException import pandas as pd import sqlalchemy #from dotenv import load_dotenv import os from sqlalchemy import text, select # load_dotenv() # Carrega as variáveis do arquivo .env # Configuração do banco de dados DB_HOST = os.getenv("DB_HOST") DB_NAME = os.getenv("DB_NAME") DB_USER = os.getenv("DB_USER") DB_PASS = os.getenv("DB_PASS") DATABASE_URL = f"postgresql://{DB_USER}:{DB_PASS}@{DB_HOST}:5432/{DB_NAME}" # Monta a URL da conexão engine = sqlalchemy.create_engine(DATABASE_URL) app = FastAPI() # Endpoint para obter o Faturamento Total @app.get("/total_revenue") async def get_total_revenue(): with engine.connect() as conn: stmt = text("SELECT total_revenue FROM total_revenue") # Usa a função text() para executar a consulta result = conn.execute(stmt).fetchone() if result: return {"total_revenue": result[0]} else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter o Número Total de Vendas @app.get("/total_sales") async def get_total_sales(): with engine.connect() as conn: stmt = text("SELECT total_sales FROM total_sales") result = conn.execute(stmt).fetchone() if result: return {"total_sales": result[0]} else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter o Valor Médio da Venda @app.get("/average_sale_value") async def get_average_sale_value(): with engine.connect() as conn: stmt = text("SELECT average_sale_value FROM average_sale_value") result = conn.execute(stmt).fetchone() if result: return {"average_sale_value": result[0]} else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter a Quantidade Média de Produtos por Venda @app.get("/average_products_per_sale") async def get_average_products_per_sale(): with engine.connect() as conn: stmt = text("SELECT average_products_per_sale FROM average_products_per_sale") result = conn.execute(stmt).fetchone() if result: return {"average_products_per_sale": result[0]} else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter o Ticket Médio @app.get("/average_ticket") async def get_average_ticket(): with engine.connect() as conn: stmt = text("SELECT average_ticket FROM average_ticket") result = conn.execute(stmt).fetchone() if result: return {"average_ticket": result[0]} else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter o Produto Mais Vendido (em Valor) @app.get("/best_selling_product_value") async def get_best_selling_product_value(): with engine.connect() as conn: stmt = text("SELECT * FROM best_selling_product_value") result = conn.execute(stmt).fetchone() if result: return {"produto": result[0], "total_product_revenue": result[1]} else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter o Produto Mais Vendido (em Quantidade) @app.get("/best_selling_product_quantity") async def get_best_selling_product_quantity(): with engine.connect() as conn: stmt = text("SELECT * FROM best_selling_product_quantity") result = conn.execute(stmt).fetchone() if result: return {"produto": result[0], "total_product_quantity": result[1]} else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter a Receita por Produto @app.get("/product_revenue") async def get_product_revenue(): with engine.connect() as conn: results = conn.execute(text("SELECT * FROM product_revenue")).fetchall() if results: return [{"produto": row[0], "product_revenue": row[1]} for row in results] else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter o Vendedor com Mais Vendas (em Valor) @app.get("/top_salesperson_value") async def get_top_salesperson_value(): with engine.connect() as conn: stmt = text("SELECT * FROM top_salesperson_value") result = conn.execute(stmt).fetchone() if result: return {"email": result[0], "salesperson_total_revenue": result[1]} else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter o Vendedor com Mais Vendas (em Quantidade) @app.get("/top_salesperson_quantity") async def get_top_salesperson_quantity(): with engine.connect() as conn: stmt = text("SELECT * FROM top_salesperson_quantity") result = conn.execute(stmt).fetchone() if result: return {"email": result[0], "salesperson_total_sales": result[1]} else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter o Número de Vendas por Vendedor @app.get("/sales_per_salesperson") async def get_sales_per_salesperson(): with engine.connect() as conn: results = conn.execute(text("SELECT * FROM sales_per_salesperson")).fetchall() if results: return [{"email": row[0], "sales_per_salesperson": row[1]} for row in results] else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter o Faturamento por Vendedor @app.get("/revenue_per_salesperson") async def get_revenue_per_salesperson(): with engine.connect() as conn: results = conn.execute(text("SELECT * FROM revenue_per_salesperson")).fetchall() if results: return [{"email": row[0], "revenue_per_salesperson": row[1]} for row in results] else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter as Vendas por Dia @app.get("/sales_per_day") async def get_sales_per_day(): with engine.connect() as conn: results = conn.execute(text("SELECT * FROM sales_per_day")).fetchall() if results: return [{"sales_date": str(row[0]), "sales_per_day": row[1]} for row in results] else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter as Vendas por Mês @app.get("/sales_per_month") async def get_sales_per_month(): with engine.connect() as conn: results = conn.execute(text("SELECT * FROM sales_per_month")).fetchall() if results: return [{"sales_year": row[0], "sales_month": row[1], "sales_per_month": row[2]} for row in results] else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter as Vendas por Ano @app.get("/sales_per_year") async def get_sales_per_year(): with engine.connect() as conn: results = conn.execute(text("SELECT * FROM sales_per_year")).fetchall() if results: return [{"sales_year": row[0], "sales_per_year": row[1]} for row in results] else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter o Faturamento por Dia @app.get("/revenue_per_day") async def get_revenue_per_day(): with engine.connect() as conn: results = conn.execute(text("SELECT * FROM revenue_per_day")).fetchall() if results: return [{"revenue_date": str(row[0]), "revenue_per_day": row[1]} for row in results] else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter o Faturamento por Mês @app.get("/revenue_per_month") async def get_revenue_per_month(): with engine.connect() as conn: results = conn.execute(text("SELECT * FROM revenue_per_month")).fetchall() if results: return [{"revenue_year": row[0], "revenue_month": row[1], "revenue_per_month": row[2]} for row in results] else: raise HTTPException(status_code=404, detail="KPI não encontrada") # Endpoint para obter o Faturamento por Ano @app.get("/revenue_per_year") async def get_revenue_per_year(): with engine.connect() as conn: results = conn.execute(text("SELECT * FROM revenue_per_year")).fetchall() if results: return [{"revenue_year": row[0], "revenue_per_year": row[1]} for row in results] else: raise HTTPException(status_code=404, detail="KPI não encontrada") if __name__ == "__main__": import uvicorn uvicorn.run("crm_api:app", host="0.0.0.0", port=5000, reload=True)