Source code for eradiate.data._multi

from __future__ import annotations

import typing as t
from collections import OrderedDict
from pathlib import Path

import attrs

from ._core import DataStore
from ..attrs import documented, parse_docs
from ..exceptions import DataError
from ..typing import PathLike


[docs] @parse_docs @attrs.define class MultiDataStore(DataStore): """ Chain requests on multiple data stores. Calls to the :meth:`~.MultiDataStore.fetch` method are successively redirected to each referenced data store. The first successful request is served. """ stores: OrderedDict = documented( attrs.field(factory=OrderedDict, converter=OrderedDict), type="collections.OrderedDict", init_type="mapping", default="{}", doc="Data stores which will be queried successively.", ) def __getitem__(self, item): return self.stores[item] @property def base_url(self) -> str: """ Raises :class:`NotImplementedError` (this data store has no target location). """ raise NotImplementedError @property def registry(self) -> dict: """ Raises :class:`NotImplementedError` (this data store has no registry). """ raise NotImplementedError
[docs] def registry_files( self, filter: t.Callable[[t.Any], bool] | None = None ) -> list[str]: """ Returns an empty list (this data store has no registry). """ return []
[docs] def fetch(self, filename: PathLike, **kwargs) -> Path: # Inherit docstring # No kwargs are actually accepted if kwargs: keyword = next(iter(kwargs.keys())) raise TypeError(f"fetch() got an unexpected keyword argument '{keyword}'") # Try and serve data for _, store in self.stores.items(): try: return store.fetch(filename) except DataError: continue raise DataError(f"file '{filename}' could not be served")