Here's a practical implementation of a feature:
passing_checker.register_check("Clean data uniqueness", clean_check) passing_checker.run_all_checks() print(passing_checker.generate_report()) 1. Uniqueness Validation - Ensures no duplicate IDs/keys 2. Single Active Configuration - Prevents multiple active states 3. One-to-One Relationship Verification - Catches data mapping errors 4. Single Source of Truth - Identifies primary data sources 5. Extensible Design - Easy to add custom checks API Endpoint Example (FastAPI): # api_one_checker.py from fastapi import FastAPI, HTTPException from pydantic import BaseModel from typing import List, Dict, Any app = FastAPI() one checker
checker.register_check("Single source of truth", check_sot) one checker
def check_config(): return checker.check_single_active_configuration(configs) one checker