faiss_rag_enterprise/llama_index/objects/base.py

179 lines
6.2 KiB
Python

"""Base object types."""
import pickle
import warnings
from typing import Any, Dict, Generic, List, Optional, Sequence, Type, TypeVar
from llama_index.bridge.pydantic import Field
from llama_index.callbacks.base import CallbackManager
from llama_index.core.base_retriever import BaseRetriever
from llama_index.core.query_pipeline.query_component import (
ChainableMixin,
InputKeys,
OutputKeys,
QueryComponent,
validate_and_convert_stringable,
)
from llama_index.indices.base import BaseIndex
from llama_index.indices.vector_store.base import VectorStoreIndex
from llama_index.objects.base_node_mapping import (
DEFAULT_PERSIST_FNAME,
BaseObjectNodeMapping,
SimpleObjectNodeMapping,
)
from llama_index.schema import QueryType
from llama_index.storage.storage_context import DEFAULT_PERSIST_DIR, StorageContext
OT = TypeVar("OT")
class ObjectRetriever(ChainableMixin, Generic[OT]):
"""Object retriever."""
def __init__(
self, retriever: BaseRetriever, object_node_mapping: BaseObjectNodeMapping[OT]
):
self._retriever = retriever
self._object_node_mapping = object_node_mapping
@property
def retriever(self) -> BaseRetriever:
"""Retriever."""
return self._retriever
def retrieve(self, str_or_query_bundle: QueryType) -> List[OT]:
nodes = self._retriever.retrieve(str_or_query_bundle)
return [self._object_node_mapping.from_node(node.node) for node in nodes]
async def aretrieve(self, str_or_query_bundle: QueryType) -> List[OT]:
nodes = await self._retriever.aretrieve(str_or_query_bundle)
return [self._object_node_mapping.from_node(node.node) for node in nodes]
def _as_query_component(self, **kwargs: Any) -> QueryComponent:
"""As query component."""
return ObjectRetrieverComponent(retriever=self)
class ObjectRetrieverComponent(QueryComponent):
"""Object retriever component."""
retriever: ObjectRetriever = Field(..., description="Retriever.")
class Config:
arbitrary_types_allowed = True
def set_callback_manager(self, callback_manager: CallbackManager) -> None:
"""Set callback manager."""
self.retriever.retriever.callback_manager = callback_manager
def _validate_component_inputs(self, input: Dict[str, Any]) -> Dict[str, Any]:
"""Validate component inputs during run_component."""
# make sure input is a string
input["input"] = validate_and_convert_stringable(input["input"])
return input
def _run_component(self, **kwargs: Any) -> Any:
"""Run component."""
output = self.retriever.retrieve(kwargs["input"])
return {"output": output}
async def _arun_component(self, **kwargs: Any) -> Any:
"""Run component (async)."""
output = await self.retriever.aretrieve(kwargs["input"])
return {"output": output}
@property
def input_keys(self) -> InputKeys:
"""Input keys."""
return InputKeys.from_keys({"input"})
@property
def output_keys(self) -> OutputKeys:
"""Output keys."""
return OutputKeys.from_keys({"output"})
class ObjectIndex(Generic[OT]):
"""Object index."""
def __init__(
self, index: BaseIndex, object_node_mapping: BaseObjectNodeMapping
) -> None:
self._index = index
self._object_node_mapping = object_node_mapping
@classmethod
def from_objects(
cls,
objects: Sequence[OT],
object_mapping: Optional[BaseObjectNodeMapping] = None,
index_cls: Type[BaseIndex] = VectorStoreIndex,
**index_kwargs: Any,
) -> "ObjectIndex":
if object_mapping is None:
object_mapping = SimpleObjectNodeMapping.from_objects(objects)
nodes = object_mapping.to_nodes(objects)
index = index_cls(nodes, **index_kwargs)
return cls(index, object_mapping)
def insert_object(self, obj: Any) -> None:
self._object_node_mapping.add_object(obj)
node = self._object_node_mapping.to_node(obj)
self._index.insert_nodes([node])
def as_retriever(self, **kwargs: Any) -> ObjectRetriever:
return ObjectRetriever(
retriever=self._index.as_retriever(**kwargs),
object_node_mapping=self._object_node_mapping,
)
def as_node_retriever(self, **kwargs: Any) -> BaseRetriever:
return self._index.as_retriever(**kwargs)
def persist(
self,
persist_dir: str = DEFAULT_PERSIST_DIR,
obj_node_mapping_fname: str = DEFAULT_PERSIST_FNAME,
) -> None:
# try to persist object node mapping
try:
self._object_node_mapping.persist(
persist_dir=persist_dir, obj_node_mapping_fname=obj_node_mapping_fname
)
except (NotImplementedError, pickle.PickleError) as err:
warnings.warn(
(
"Unable to persist ObjectNodeMapping. You will need to "
"reconstruct the same object node mapping to build this ObjectIndex"
),
stacklevel=2,
)
self._index._storage_context.persist(persist_dir=persist_dir)
@classmethod
def from_persist_dir(
cls,
persist_dir: str = DEFAULT_PERSIST_DIR,
object_node_mapping: Optional[BaseObjectNodeMapping] = None,
) -> "ObjectIndex":
from llama_index.indices import load_index_from_storage
storage_context = StorageContext.from_defaults(persist_dir=persist_dir)
index = load_index_from_storage(storage_context)
if object_node_mapping:
return cls(index=index, object_node_mapping=object_node_mapping)
else:
# try to load object_node_mapping
# assume SimpleObjectNodeMapping for simplicity as its only subclass
# that supports this method
try:
object_node_mapping = SimpleObjectNodeMapping.from_persist_dir(
persist_dir=persist_dir
)
except Exception as err:
raise Exception(
"Unable to load from persist dir. The object_node_mapping cannot be loaded."
) from err
else:
return cls(index=index, object_node_mapping=object_node_mapping)