arro3-core

import os from arro3.core import ArroFile from arro3.schema.core import Arro # Define a simple Arro object structure data = { "id": "my-dataset-id", "name": "My Test Dataset", "description": "A minimal example Arro dataset.", "bbox": [0.0, 0.0, 1.0, 1.0], # minx, miny, maxx, maxy "spatial_ref_sys": {"epsg": 4326}, # Example SRS "assets": {} # Assets dict required, can be empty } try: # 1. Create an Arro object from a dictionary my_arro = Arro(**data) print(f"Created Arro object with ID: {my_arro.id}") # 2. Define a temporary file path for demonstration temp_file_path = "temp_arro_dataset.json" # 3. Save the Arro object to a file ArroFile.write(my_arro, temp_file_path) print(f"Arro object saved to {temp_file_path}") # 4. Load the Arro object from the file loaded_arro = ArroFile.read(temp_file_path) print(f"Loaded Arro object with ID: {loaded_arro.id}") assert my_arro.id == loaded_arro.id print("Verification successful: Loaded ID matches original ID.") except Exception as e: print(f"An error occurred: {e}") finally: # Clean up the temporary file if os.path.exists(temp_file_path): os.remove(temp_file_path) print(f"Cleaned up temporary file: {temp_file_path}")