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```python # AI Dev Tool: FastAPI Pydantic v2 Micro-SaaS with Excel Multi-Value Support # Description: A production-ready FastAPI Pydantic v2 Micro-SaaS boilerplate with support for Excel's new multiple values in a single cell feature. from fastapi import FastAPI, Depends, HTTPException from pydantic import BaseModel, validator from typing import List, Optional import pandas as pd from io import BytesIO app = FastAPI() # Define a Pydantic model to handle Excel file uploads class ExcelFile(BaseModel): file: bytes @validator('file') def validate_file(cls, v): try: # Attempt to read the Excel file using pandas pd.read_excel(BytesIO(v)) return v except Exception as e: raise HTTPException(status_code=400, detail=f"Invalid Excel file: {str(e)}") # Define a Pydantic model to handle multiple values in a single cell class MultiValueCell(BaseModel): values: List[str] @validator('values') def validate_values(cls, v): if not v: raise HTTPException(status_code=400, detail="Values list cannot be empty
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