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```python
# AI Dev Tool: Exoplanet Telescope Data Processor
# Description: A production-ready starter boilerplate for processing telescope images of exoplanets
# Author: Elite Software Architect

import os
import numpy as np
from PIL import Image
from fastapi import FastAPI, UploadFile, File
from fastapi.responses import JSONResponse
from pydantic import BaseModel
from typing import List, Optional
from sqlalchemy import create_engine, Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker

# Define the database connection
SQLALCHEMY_DATABASE_URL = "sqlite:///exoplanet.db"

# Create the database engine
engine = create_engine(SQLALCHEMY_DATABASE_URL)

# Create the session maker
SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)

# Create the base class for the database models
Base = declarative_base()

# Define the Exoplanet model
class Exoplanet(Base):
    __tablename__ = "exoplanets"
    id = Column(Integer, primary_key=True, index=True)
    name = Column(String, unique=True, index=True)
    image_url = Column(String, unique=True, index=True)

# Create

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