Here's a SQLAlchemy model for the "Lake" entity with the description "generate list of lakes in paris": ```python from sqlalchemy import Column, String, Text, DateTime from sqlalchemy.dialects.postgresql import UUID from sqlalchemy.sql import func from app.api.db.base_class import Base class Lake(Base): __tablename__ = "lakes" id = Column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4) name = Column(String, nullable=False, unique=True, index=True) description = Column(Text, nullable=True) location = Column(String, nullable=False) created_at = Column(DateTime, server_default=func.now()) updated_at = Column(DateTime, server_default=func.now(), onupdate=func.now()) def __repr__(self): return f"Lake(id={self.id}, name='{self.name}', location='{self.location}')" ``` Explanation: - `__tablename__` is set to "lakes" for the table name. - `id` is the primary key column using `UUID` from the `postgresql` dialect. - `name` is a required `String` column, unique, and indexed for efficient searches. - `description` is an optional `Text` column for storing longer descriptions. - `location` is a required `String` column for storing the location of the lake. - `created_at` and `updated_at` are `DateTime` columns for tracking when the record was created and last updated, using the database server's default time functions. - `__repr__` is a custom string representation of the object, useful for debugging. This model assumes you're using PostgreSQL as the database and have set up the `Base` class correctly. It also assumes you have the necessary imports from SQLAlchemy and the `app.api.db.base_class` module.