import importlib.metadata
import os
import shutil
from typing import Dict, Union
import h5py
from packaging.specifiers import SpecifierSet
from minari.dataset.minari_dataset import MinariDataset, parse_dataset_id
from minari.storage import hosting
from minari.storage.datasets_root_dir import get_dataset_path
# Use importlib due to circular import when: "from minari import __version__"
__version__ = importlib.metadata.version("minari")
[docs]
def load_dataset(dataset_id: str, download: bool = False):
"""Retrieve Minari dataset from local database.
Args:
dataset_id (str): name id of Minari dataset
download (bool): if `True` download the dataset if it is not found locally. Default to `False`.
Returns:
MinariDataset
"""
file_path = get_dataset_path(dataset_id)
data_path = os.path.join(file_path, "data", "main_data.hdf5")
if not os.path.exists(data_path):
if not download:
raise FileNotFoundError(
f"Dataset {dataset_id} not found locally at {file_path}. Use download=True to download the dataset."
)
hosting.download_dataset(dataset_id)
return MinariDataset(data_path)
[docs]
def list_local_datasets(
latest_version: bool = False,
compatible_minari_version: bool = False,
) -> Dict[str, Dict[str, Union[str, int, bool]]]:
"""Get the ids and metadata of all the Minari datasets in the local database.
Args:
latest_version (bool): if `True` only the latest version of the datasets are returned i.e. from ['door-human-v0', 'door-human-v1`], only the metadata for v1 is returned. Default to `False`.
compatible_minari_version (bool): if `True` only the datasets compatible with the current Minari version are returned. Default to `False`.
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)
if not dir_name.startswith(".")
]
)
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())
if ("minari_version" not in metadata) or (
compatible_minari_version
and __version__ not in SpecifierSet(metadata["minari_version"])
):
continue
env_name, dataset_name, version = parse_dataset_id(dst_id)
dataset = f"{env_name}-{dataset_name}"
if latest_version:
if (
dataset not in local_datasets
or version > local_datasets[dataset][0]
):
local_datasets[dataset] = (version, metadata)
else:
local_datasets[dst_id] = metadata
if latest_version:
# Return dict = {'dataset_id': metadata}
return dict(
map(lambda x: (f"{x[0]}-v{x[1][0]}", x[1][1]), local_datasets.items())
)
else:
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!")
