community[patch]: Use astrapy built-in pagination prefetch in AstraDBLoader (#17569)

pull/15582/head^2
Christophe Bornet 8 months ago committed by GitHub
parent 387cacb881
commit 789cd5198d
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@ -2,8 +2,6 @@ from __future__ import annotations
import json import json
import logging import logging
import threading
from queue import Queue
from typing import ( from typing import (
TYPE_CHECKING, TYPE_CHECKING,
Any, Any,
@ -16,7 +14,6 @@ from typing import (
) )
from langchain_core.documents import Document from langchain_core.documents import Document
from langchain_core.runnables import run_in_executor
from langchain_community.document_loaders.base import BaseLoader from langchain_community.document_loaders.base import BaseLoader
from langchain_community.utilities.astradb import _AstraDBEnvironment from langchain_community.utilities.astradb import _AstraDBEnvironment
@ -33,6 +30,7 @@ class AstraDBLoader(BaseLoader):
def __init__( def __init__(
self, self,
collection_name: str, collection_name: str,
*,
token: Optional[str] = None, token: Optional[str] = None,
api_endpoint: Optional[str] = None, api_endpoint: Optional[str] = None,
astra_db_client: Optional[AstraDB] = None, astra_db_client: Optional[AstraDB] = None,
@ -65,38 +63,27 @@ class AstraDBLoader(BaseLoader):
return list(self.lazy_load()) return list(self.lazy_load())
def lazy_load(self) -> Iterator[Document]: def lazy_load(self) -> Iterator[Document]:
queue = Queue(self.nb_prefetched) # type: ignore for doc in self.collection.paginated_find(
t = threading.Thread(target=self.fetch_results, args=(queue,)) filter=self.filter,
t.start() options=self.find_options,
while True: projection=self.projection,
doc = queue.get() sort=None,
if doc is None: prefetched=self.nb_prefetched,
break ):
yield doc yield Document(
t.join() page_content=self.extraction_function(doc),
metadata={
"namespace": self.collection.astra_db.namespace,
"api_endpoint": self.collection.astra_db.base_url,
"collection": self.collection_name,
},
)
async def aload(self) -> List[Document]: async def aload(self) -> List[Document]:
"""Load data into Document objects.""" """Load data into Document objects."""
return [doc async for doc in self.alazy_load()] return [doc async for doc in self.alazy_load()]
async def alazy_load(self) -> AsyncIterator[Document]: async def alazy_load(self) -> AsyncIterator[Document]:
if not self.astra_env.async_astra_db:
iterator = run_in_executor(
None,
self.collection.paginated_find,
filter=self.filter,
options=self.find_options,
projection=self.projection,
sort=None,
prefetched=True,
)
done = object()
while True:
item = await run_in_executor(None, lambda it: next(it, done), iterator)
if item is done:
break
yield item # type: ignore[misc]
return
async_collection = await self.astra_env.async_astra_db.collection( async_collection = await self.astra_env.async_astra_db.collection(
self.collection_name self.collection_name
) )
@ -105,7 +92,7 @@ class AstraDBLoader(BaseLoader):
options=self.find_options, options=self.find_options,
projection=self.projection, projection=self.projection,
sort=None, sort=None,
prefetched=True, prefetched=self.nb_prefetched,
): ):
yield Document( yield Document(
page_content=self.extraction_function(doc), page_content=self.extraction_function(doc),
@ -115,29 +102,3 @@ class AstraDBLoader(BaseLoader):
"collection": self.collection_name, "collection": self.collection_name,
}, },
) )
def fetch_results(self, queue: Queue): # type: ignore[no-untyped-def]
self.fetch_page_result(queue)
while self.find_options.get("pageState"):
self.fetch_page_result(queue)
queue.put(None)
def fetch_page_result(self, queue: Queue): # type: ignore[no-untyped-def]
res = self.collection.find(
filter=self.filter,
options=self.find_options,
projection=self.projection,
sort=None,
)
self.find_options["pageState"] = res["data"].get("nextPageState")
for doc in res["data"]["documents"]:
queue.put(
Document(
page_content=self.extraction_function(doc),
metadata={
"namespace": self.collection.astra_db.namespace,
"api_endpoint": self.collection.astra_db.base_url,
"collection": self.collection.collection_name,
},
)
)

@ -15,7 +15,7 @@ from __future__ import annotations
import json import json
import os import os
import uuid import uuid
from typing import TYPE_CHECKING from typing import TYPE_CHECKING, AsyncIterator, Iterator
import pytest import pytest
@ -37,12 +37,12 @@ def _has_env_vars() -> bool:
@pytest.fixture @pytest.fixture
def astra_db_collection() -> AstraDBCollection: def astra_db_collection() -> Iterator[AstraDBCollection]:
from astrapy.db import AstraDB from astrapy.db import AstraDB
astra_db = AstraDB( astra_db = AstraDB(
token=ASTRA_DB_APPLICATION_TOKEN, token=ASTRA_DB_APPLICATION_TOKEN or "",
api_endpoint=ASTRA_DB_API_ENDPOINT, api_endpoint=ASTRA_DB_API_ENDPOINT or "",
namespace=ASTRA_DB_KEYSPACE, namespace=ASTRA_DB_KEYSPACE,
) )
collection_name = f"lc_test_loader_{str(uuid.uuid4()).split('-')[0]}" collection_name = f"lc_test_loader_{str(uuid.uuid4()).split('-')[0]}"
@ -58,12 +58,12 @@ def astra_db_collection() -> AstraDBCollection:
@pytest.fixture @pytest.fixture
async def async_astra_db_collection() -> AsyncAstraDBCollection: async def async_astra_db_collection() -> AsyncIterator[AsyncAstraDBCollection]:
from astrapy.db import AsyncAstraDB from astrapy.db import AsyncAstraDB
astra_db = AsyncAstraDB( astra_db = AsyncAstraDB(
token=ASTRA_DB_APPLICATION_TOKEN, token=ASTRA_DB_APPLICATION_TOKEN or "",
api_endpoint=ASTRA_DB_API_ENDPOINT, api_endpoint=ASTRA_DB_API_ENDPOINT or "",
namespace=ASTRA_DB_KEYSPACE, namespace=ASTRA_DB_KEYSPACE,
) )
collection_name = f"lc_test_loader_{str(uuid.uuid4()).split('-')[0]}" collection_name = f"lc_test_loader_{str(uuid.uuid4()).split('-')[0]}"
@ -167,5 +167,5 @@ class TestAstraDB:
find_options={"limit": 30}, find_options={"limit": 30},
extraction_function=lambda x: x["foo"], extraction_function=lambda x: x["foo"],
) )
doc = await anext(loader.alazy_load()) # type: ignore[name-defined] doc = await loader.alazy_load().__anext__()
assert doc.page_content == "bar" assert doc.page_content == "bar"

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