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```python
# AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS for Trucking Company Fuel Price Management
# Description: A production-ready FastAPI boilerplate with Pydantic v2 for managing fuel prices and tracking trucking company finances.

from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from typing import List, Optional
import sqlite3
from sqlite3 import Error

# Initialize the FastAPI application
app = FastAPI()

# Define the FuelPrice model using Pydantic
class FuelPrice(BaseModel):
    id: int
    price: float
    location: str
    date: str

# Define the TruckingCompany model using Pydantic
class TruckingCompany(BaseModel):
    id: int
    name: str
    fuel_prices: List[FuelPrice]

# Create a connection to the SQLite database
def create_connection():
    conn = None
    try:
        conn = sqlite3.connect("trucking_company.db")
        return conn
    except Error as e:
        print(e)

# Create the fuel_prices table in the SQLite database
def create_table(conn):
    sql = """CREATE TABLE IF NOT EXISTS fuel_prices (
                id integer PRIMARY KEY,

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