JSON से Python - डेटाक्लास और Pydantic मॉडल ऑनलाइन बनाएं

// JSON to Python dataclass/Pydantic generator
function jsonToPython(json, rootName = 'Root', format = 'dataclass') {
  const classes = [];

  function toPascalCase(str) {
    return str.replace(/[-_\s]+(.)?/g, (_, c) => c ? c.toUpperCase() : '')
              .replace(/^./, s => s.toUpperCase());
  }

  function toSnakeCase(str) {
    return str.replace(/([A-Z])/g, '_$1').replace(/^_/, '').toLowerCase();
  }

  function inferType(value, name) {
    if (value === null) return 'None';
    if (typeof value === 'boolean') return 'bool';
    if (typeof value === 'number') {
      return Number.isInteger(value) ? 'int' : 'float';
    }
    if (typeof value === 'string') return 'str';
    if (Array.isArray(value)) {
      if (value.length === 0) return 'list[Any]';
      return `list[${inferType(value[0], name)}]`;
    }
    if (typeof value === 'object') {
      const className = toPascalCase(name);
      const fields = Object.entries(value).map(([key, val]) => {
        const pyType = inferType(val, key);
        const fieldName = toSnakeCase(key);
        if (format === 'pydantic' && fieldName !== key) {
          return `    ${fieldName}: ${pyType} = Field(alias="${key}")`;
        }
        return `    ${fieldName}: ${pyType}`;
      });

      if (format === 'dataclass') {
        classes.push(`@dataclass\nclass ${className}:\n${fields.join('\n')}`);
      } else if (format === 'pydantic') {
        classes.push(`class ${className}(BaseModel):\n${fields.join('\n')}`);
      } else {
        classes.push(`class ${className}(TypedDict):\n${fields.join('\n')}`);
      }
      return className;
    }
    return 'Any';
  }

  const parsed = JSON.parse(json);
  inferType(parsed, rootName);
  return classes.reverse().join('\n\n');
}

// Example
const json = '{"userName": "alice", "age": 30, "address": {"city": "NYC"}}';
console.log(jsonToPython(json, 'User', 'pydantic'));
// Output:
// class Address(BaseModel):
//     city: str
//
// class User(BaseModel):
//     user_name: str = Field(alias="userName")
//     age: int
//     address: Address