Add Lake model

models/lake.py

@@ -0,0 +1,34 @@
+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.