yacman

import os from yacman import YAMLConfigManager, write_lock, read_lock # Example data data = {"my_list": [1,2,3], "my_int": 8, "my_str": "hello world!", "my_dict": {"nested_val": 15}} # Create a YAMLConfigManager from a dictionary ym = YAMLConfigManager(data) # Access data like a dictionary print(f"my_list: {ym['my_list']}") print(f"my_int: {ym['my_int']}") print(f"nested_val: {ym['my_dict']['nested_val']}") # Modify data ym["new_var"] = 15 # To write changes to a file, use a write_lock context manager # and explicitly rebase_and_write for multi-process safety. # For a real scenario, you would create ym from a file path: ym = YAMLConfigManager(filepath='config.yaml') # For this quickstart, we'll simulate writing to a dummy file. config_file_path = "./temp_config.yaml" with open(config_file_path, 'w') as f: f.write(str(ym)) # Now, let's load it from the file and demonstrate writing safely ym_from_file = YAMLConfigManager(filepath=config_file_path) # Use a write-lock, and rebase before writing to ensure you capture any changes # since you loaded the file (important in multi-process environments) with write_lock(ym_from_file) as locked_ym: locked_ym['another_key'] = 'another_value' locked_ym.rebase_and_write() print(f"Updated config from file: {ym_from_file.to_dict()}") # Cleanup (optional) os.remove(config_file_path)