mirror of
https://github.com/hwchase17/langchain
synced 2024-11-02 09:40:22 +00:00
131 lines
5.0 KiB
Python
131 lines
5.0 KiB
Python
from __future__ import annotations
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from typing import (
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TYPE_CHECKING,
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Any,
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AsyncIterator,
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Callable,
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Iterator,
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Optional,
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Sequence,
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Union,
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)
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from langchain_core.documents import Document
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from langchain_community.document_loaders.base import BaseLoader
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from langchain_community.utilities.cassandra import wrapped_response_future
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_NOT_SET = object()
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if TYPE_CHECKING:
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from cassandra.cluster import Session
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from cassandra.pool import Host
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from cassandra.query import Statement
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class CassandraLoader(BaseLoader):
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def __init__(
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self,
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table: Optional[str] = None,
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session: Optional[Session] = None,
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keyspace: Optional[str] = None,
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query: Union[str, Statement, None] = None,
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page_content_mapper: Callable[[Any], str] = str,
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metadata_mapper: Callable[[Any], dict] = lambda _: {},
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*,
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query_parameters: Union[dict, Sequence, None] = None,
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query_timeout: Optional[float] = _NOT_SET, # type: ignore[assignment]
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query_trace: bool = False,
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query_custom_payload: Optional[dict] = None,
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query_execution_profile: Any = _NOT_SET,
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query_paging_state: Any = None,
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query_host: Optional[Host] = None,
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query_execute_as: Optional[str] = None,
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) -> None:
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"""
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Document Loader for Apache Cassandra.
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Args:
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table: The table to load the data from.
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(do not use together with the query parameter)
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session: The cassandra driver session.
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If not provided, the cassio resolved session will be used.
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keyspace: The keyspace of the table.
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If not provided, the cassio resolved keyspace will be used.
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query: The query used to load the data.
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(do not use together with the table parameter)
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page_content_mapper: a function to convert a row to string page content.
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Defaults to the str representation of the row.
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metadata_mapper: a function to convert a row to document metadata.
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query_parameters: The query parameters used when calling session.execute .
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query_timeout: The query timeout used when calling session.execute .
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query_trace: Whether to use tracing when calling session.execute .
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query_custom_payload: The query custom_payload used when calling
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session.execute .
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query_execution_profile: The query execution_profile used when calling
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session.execute .
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query_host: The query host used when calling session.execute .
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query_execute_as: The query execute_as used when calling session.execute .
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"""
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if query and table:
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raise ValueError("Cannot specify both query and table.")
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if not query and not table:
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raise ValueError("Must specify query or table.")
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if not session or (table and not keyspace):
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try:
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from cassio.config import check_resolve_keyspace, check_resolve_session
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except (ImportError, ModuleNotFoundError):
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raise ImportError(
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"Could not import a recent cassio package."
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"Please install it with `pip install --upgrade cassio`."
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)
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if table:
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_keyspace = keyspace or check_resolve_keyspace(keyspace)
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self.query = f"SELECT * FROM {_keyspace}.{table};"
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self.metadata = {"table": table, "keyspace": _keyspace}
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else:
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self.query = query # type: ignore[assignment]
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self.metadata = {}
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self.session = session or check_resolve_session(session)
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self.page_content_mapper = page_content_mapper
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self.metadata_mapper = metadata_mapper
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self.query_kwargs = {
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"parameters": query_parameters,
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"trace": query_trace,
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"custom_payload": query_custom_payload,
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"paging_state": query_paging_state,
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"host": query_host,
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"execute_as": query_execute_as,
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}
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if query_timeout is not _NOT_SET:
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self.query_kwargs["timeout"] = query_timeout
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if query_execution_profile is not _NOT_SET:
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self.query_kwargs["execution_profile"] = query_execution_profile
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def lazy_load(self) -> Iterator[Document]:
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for row in self.session.execute(self.query, **self.query_kwargs):
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metadata = self.metadata.copy()
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metadata.update(self.metadata_mapper(row))
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yield Document(
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page_content=self.page_content_mapper(row), metadata=metadata
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)
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async def alazy_load(self) -> AsyncIterator[Document]:
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for row in await wrapped_response_future(
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self.session.execute_async,
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self.query,
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**self.query_kwargs,
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):
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metadata = self.metadata.copy()
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metadata.update(self.metadata_mapper(row))
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yield Document(
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page_content=self.page_content_mapper(row), metadata=metadata
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)
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