flexparser

from flexparser import parse_string from typing import Dict, List, Union, Tuple # Define the target structure using type hints. # Flexparser will use these annotations at runtime to understand # how to parse the input string. def parse_config_data(data_str: str) -> Dict[str, Union[str, int, float, bool, List[str], Tuple[int, int]]]: """ Parses a string into a dictionary based on the return type hints. The function body itself is not executed for parsing; only its annotations are used by flexparser. """ pass config_string = """ name: Alice age: 30 city: New York tags: python, parsing location: (10, 20) is_active: true score: 98.5 """ # Parse the string using the return annotation of 'parse_config_data' parsed_data = parse_string(config_string, target_type=parse_config_data.__annotations__['return']) print("Parsed Data:", parsed_data) print("Type of name:", type(parsed_data.get('name'))) print("Type of age:", type(parsed_data.get('age'))) print("Type of tags:", type(parsed_data.get('tags'))) print("Type of location:", type(parsed_data.get('location'))) print("Type of is_active:", type(parsed_data.get('is_active')))