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# SPDX-FileCopyrightText: 2022-present deepset GmbH <info@deepset.ai>
#
# SPDX-License-Identifier: Apache-2.0
from typing import Any, Dict
from haystack import DeserializationError
from haystack.core.serialization import default_from_dict, import_class_by_name
def deserialize_document_store_in_init_params_inplace(data: Dict[str, Any], key: str = "document_store"):
"""
Deserializes a generic document store from the init_parameters of a serialized component in place.
:param data:
The dictionary to deserialize from.
:param key:
The key in the `data["init_parameters"]` dictionary where the document store is specified.
:returns:
The dictionary, with the document store deserialized.
:raises DeserializationError:
If the document store is not properly specified in the serialization data or its type cannot be imported.
"""
init_params = data.get("init_parameters", {})
if key not in init_params:
raise DeserializationError(f"Missing '{key}' in serialization data")
if "type" not in init_params[key]:
raise DeserializationError(f"Missing 'type' in {key} serialization data")
doc_store_data = data["init_parameters"][key]
try:
doc_store_class = import_class_by_name(doc_store_data["type"])
except ImportError as e:
raise DeserializationError(f"Class '{doc_store_data['type']}' not correctly imported") from e
if hasattr(doc_store_class, "from_dict"):
data["init_parameters"][key] = doc_store_class.from_dict(doc_store_data)
else:
data["init_parameters"][key] = default_from_dict(doc_store_class, doc_store_data)