Add AstraDB document loader (#14747)

- **Description:** this adds the AstraDB document loader and an
integration test
  - **Twitter handle:** cbornet_
pull/15102/head^2
Christophe Bornet 9 months ago committed by GitHub
parent de682761c5
commit e2a8962ba6
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import json
import logging
import threading
from queue import Queue
from typing import Any, Callable, Dict, Iterator, List, Optional
from langchain_core.documents import Document
from langchain_community.document_loaders.base import BaseLoader
logger = logging.getLogger(__name__)
class AstraDBLoader(BaseLoader):
"""Load DataStax Astra DB documents."""
def __init__(
self,
collection_name: str,
token: Optional[str] = None,
api_endpoint: Optional[str] = None,
astra_db_client: Optional[Any] = None, # 'astrapy.db.AstraDB' if passed
namespace: Optional[str] = None,
filter_criteria: Optional[Dict[str, Any]] = None,
projection: Optional[Dict[str, Any]] = None,
find_options: Optional[Dict[str, Any]] = None,
nb_prefetched: int = 1000,
extraction_function: Callable[[Dict], str] = json.dumps,
) -> None:
try:
from astrapy.db import AstraDB
except (ImportError, ModuleNotFoundError):
raise ImportError(
"Could not import a recent astrapy python package. "
"Please install it with `pip install --upgrade astrapy`."
)
# Conflicting-arg checks:
if astra_db_client is not None:
if token is not None or api_endpoint is not None:
raise ValueError(
"You cannot pass 'astra_db_client' to AstraDB if passing "
"'token' and 'api_endpoint'."
)
self.filter = filter_criteria
self.projection = projection
self.find_options = find_options or {}
self.nb_prefetched = nb_prefetched
self.extraction_function = extraction_function
if astra_db_client is not None:
astra_db = astra_db_client
else:
astra_db = AstraDB(
token=token,
api_endpoint=api_endpoint,
namespace=namespace,
)
self.collection = astra_db.collection(collection_name)
def load(self) -> List[Document]:
"""Eagerly load the content."""
return list(self.lazy_load())
def lazy_load(self) -> Iterator[Document]:
queue = Queue(self.nb_prefetched)
t = threading.Thread(target=self.fetch_results, args=(queue,))
t.start()
while True:
doc = queue.get()
if doc is None:
break
yield doc
t.join()
def fetch_results(self, queue: Queue):
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):
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,
},
)
)

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"""
Test of Astra DB document loader class `AstraDBLoader`
Required to run this test:
- a recent `astrapy` Python package available
- an Astra DB instance;
- the two environment variables set:
export ASTRA_DB_API_ENDPOINT="https://<DB-ID>-us-east1.apps.astra.datastax.com"
export ASTRA_DB_APPLICATION_TOKEN="AstraCS:........."
- optionally this as well (otherwise defaults are used):
export ASTRA_DB_KEYSPACE="my_keyspace"
"""
import json
import os
import uuid
import pytest
from langchain_community.document_loaders.astradb import AstraDBLoader
ASTRA_DB_APPLICATION_TOKEN = os.getenv("ASTRA_DB_APPLICATION_TOKEN")
ASTRA_DB_API_ENDPOINT = os.getenv("ASTRA_DB_API_ENDPOINT")
ASTRA_DB_KEYSPACE = os.getenv("ASTRA_DB_KEYSPACE")
def _has_env_vars() -> bool:
return all([ASTRA_DB_APPLICATION_TOKEN, ASTRA_DB_API_ENDPOINT])
@pytest.fixture
def astra_db_collection():
from astrapy.db import AstraDB
astra_db = AstraDB(
token=ASTRA_DB_APPLICATION_TOKEN,
api_endpoint=ASTRA_DB_API_ENDPOINT,
namespace=ASTRA_DB_KEYSPACE,
)
collection_name = f"lc_test_loader_{str(uuid.uuid4()).split('-')[0]}"
collection = astra_db.create_collection(collection_name)
yield collection
astra_db.delete_collection(collection_name)
@pytest.mark.requires("astrapy")
@pytest.mark.skipif(not _has_env_vars(), reason="Missing Astra DB env. vars")
class TestAstraDB:
def test_astradb_loader(self, astra_db_collection) -> None:
astra_db_collection.insert_many([{"foo": "bar", "baz": "qux"}] * 20)
astra_db_collection.insert_many(
[{"foo": "bar2", "baz": "qux"}] * 4 + [{"foo": "bar", "baz": "qux"}] * 4
)
loader = AstraDBLoader(
astra_db_collection.collection_name,
token=ASTRA_DB_APPLICATION_TOKEN,
api_endpoint=ASTRA_DB_API_ENDPOINT,
namespace=ASTRA_DB_KEYSPACE,
nb_prefetched=1,
projection={"foo": 1},
find_options={"limit": 22},
filter_criteria={"foo": "bar"},
)
docs = loader.load()
assert len(docs) == 22
ids = set()
for doc in docs:
content = json.loads(doc.page_content)
assert content["foo"] == "bar"
assert "baz" not in content
assert content["_id"] not in ids
ids.add(content["_id"])
assert doc.metadata == {
"namespace": astra_db_collection.astra_db.namespace,
"api_endpoint": astra_db_collection.astra_db.base_url,
"collection": astra_db_collection.collection_name,
}
def test_extraction_function(self, astra_db_collection) -> None:
astra_db_collection.insert_many([{"foo": "bar", "baz": "qux"}] * 20)
loader = AstraDBLoader(
astra_db_collection.collection_name,
token=ASTRA_DB_APPLICATION_TOKEN,
api_endpoint=ASTRA_DB_API_ENDPOINT,
namespace=ASTRA_DB_KEYSPACE,
find_options={"limit": 30},
extraction_function=lambda x: x["foo"],
)
docs = loader.lazy_load()
doc = next(docs)
assert doc.page_content == "bar"
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