Source code for minari.storage.local
import os
import shutil
from typing import Dict, Union
import h5py
from minari.dataset.minari_dataset import MinariDataset
from minari.storage.datasets_root_dir import get_dataset_path
[docs]def load_dataset(dataset_id: str):
"""Retrieve Minari dataset from local database.
Args:
dataset_id (str): name id of Minari dataset
Returns:
MinariDataset
"""
file_path = get_dataset_path(dataset_id)
data_path = os.path.join(file_path, "data", "main_data.hdf5")
return MinariDataset(data_path)
[docs]def list_local_datasets() -> Dict[str, Dict[str, Union[str, int, bool]]]:
"""Get the ids and metadata of all the Minari datasets in the local database.
Returns:
Dict[str, Dict[str, str]]: keys the names of the Minari datasets and values the metadata
"""
datasets_path = get_dataset_path("")
dataset_ids = sorted([dir_name for dir_name in os.listdir(datasets_path)])
local_datasets = {}
for dst_id in dataset_ids:
if "data" not in os.listdir(os.path.join(datasets_path, dst_id)):
# Minari datasets must contain the data directory.
continue
main_file_path = os.path.join(datasets_path, dst_id, "data/main_data.hdf5")
with h5py.File(main_file_path, "r") as f:
metadata = dict(f.attrs.items())
local_datasets[dst_id] = metadata
return local_datasets
[docs]def delete_dataset(dataset_id: str):
"""Delete a Minari dataset from the local Minari database.
Args:
dataset_id (str): name id of the Minari dataset
"""
dataset_path = get_dataset_path(dataset_id)
shutil.rmtree(dataset_path)
print(f"Dataset {dataset_id} deleted!")