Spaces:
Runtime error
Runtime error
File size: 2,530 Bytes
129cd69 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 |
"""Create a key-value store for any langchain serializable object."""
from typing import Callable, Optional
from langchain_core.documents import Document
from langchain_core.load import Serializable, dumps, loads
from langchain_core.stores import BaseStore
from langchain.storage.encoder_backed import EncoderBackedStore
def _dump_as_bytes(obj: Serializable) -> bytes:
"""Return a bytes representation of a document."""
return dumps(obj).encode("utf-8")
def _dump_document_as_bytes(obj: Document) -> bytes:
"""Return a bytes representation of a document."""
if not isinstance(obj, Document):
raise TypeError("Expected a Document instance")
return dumps(obj).encode("utf-8")
def _load_document_from_bytes(serialized: bytes) -> Document:
"""Return a document from a bytes representation."""
obj = loads(serialized.decode("utf-8"))
if not isinstance(obj, Document):
raise TypeError(f"Expected a Document instance. Got {type(obj)}")
return obj
def _load_from_bytes(serialized: bytes) -> Serializable:
"""Return a document from a bytes representation."""
return loads(serialized.decode("utf-8"))
def _identity(x: str) -> str:
"""Return the same object."""
return x
# PUBLIC API
def create_lc_store(
store: BaseStore[str, bytes],
*,
key_encoder: Optional[Callable[[str], str]] = None,
) -> BaseStore[str, Serializable]:
"""Create a store for langchain serializable objects from a bytes store.
Args:
store: A bytes store to use as the underlying store.
key_encoder: A function to encode keys; if None uses identity function.
Returns:
A key-value store for documents.
"""
return EncoderBackedStore(
store,
key_encoder or _identity,
_dump_as_bytes,
_load_from_bytes,
)
def create_kv_docstore(
store: BaseStore[str, bytes],
*,
key_encoder: Optional[Callable[[str], str]] = None,
) -> BaseStore[str, Document]:
"""Create a store for langchain Document objects from a bytes store.
This store does run time type checking to ensure that the values are
Document objects.
Args:
store: A bytes store to use as the underlying store.
key_encoder: A function to encode keys; if None uses identity function.
Returns:
A key-value store for documents.
"""
return EncoderBackedStore(
store,
key_encoder or _identity,
_dump_document_as_bytes,
_load_document_from_bytes,
)
|