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```python # AI Dev Tool: FlociCloud Emulator # Description: A production-ready boilerplate for emulating cloud services locally # using Floci, with a focus on PostgreSQL Vector Search Extension and haptic technology import os import json from fastapi import FastAPI, HTTPException from fastapi.responses import JSONResponse from fastapi.requests import Request from pydantic import BaseModel from sqlalchemy import create_engine, Column, Integer, String from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker from typing import List, Dict # Define the base directory for the project BASE_DIR = os.path.dirname(os.path.abspath(__file__)) # Define the database connection URL DATABASE_URL = "postgresql://user:password@localhost:5432/database" # Create the database engine engine = create_engine(DATABASE_URL) # Create the base class for declarative models Base = declarative_base() # Define the FlociCloudEmulator model class FlociCloudEmulator(Base): __tablename__ = "floci_cloud_emulator" id = Column(Integer, primary_key=True) service_name = Column(String) service_config = Column(String)
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