⚡ Live Sandbox: AI Dev Tool: FastAPI Pydantic v2 (5uml)

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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS Boilerplate with PostgreSQL Vector Search Extension
#============================================================================================
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
import psycopg2
import psycopg2.extras
from psycopg2 import Error

# Define the FastAPI application
app = FastAPI()

# Define the Pydantic model for the data
class Data(BaseModel):
    id: int
    text: str

# Define the PostgreSQL connection settings
POSTGRES_HOST = "localhost"
POSTGRES_DB = "mydb"
POSTGRES_USER = "myuser"
POSTGRES_PASSWORD = "mypassword"

# Create a PostgreSQL connection pool
def create_connection():
    try:
        connection = psycopg2.connect(
            host=POSTGRES_HOST,
            database=POSTGRES_DB,
            user=POSTGRES_USER,
            password=POSTGRES_PASSWORD
        )
        return connection
    except Error as e:
        print(f"Error creating connection: {e}")
        return None

# Define the route for creating a new data point
@app.post("/data/")
async def create_data(data: Data):
    """
    Create a new data point.

Args

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