mirror of
https://github.com/hwchase17/langchain
synced 2024-11-08 07:10:35 +00:00
102 lines
3.4 KiB
Python
102 lines
3.4 KiB
Python
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import json
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import logging
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import threading
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from queue import Queue
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from typing import Any, Callable, Dict, Iterator, List, Optional
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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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logger = logging.getLogger(__name__)
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class AstraDBLoader(BaseLoader):
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"""Load DataStax Astra DB documents."""
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def __init__(
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self,
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collection_name: str,
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token: Optional[str] = None,
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api_endpoint: Optional[str] = None,
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astra_db_client: Optional[Any] = None, # 'astrapy.db.AstraDB' if passed
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namespace: Optional[str] = None,
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filter_criteria: Optional[Dict[str, Any]] = None,
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projection: Optional[Dict[str, Any]] = None,
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find_options: Optional[Dict[str, Any]] = None,
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nb_prefetched: int = 1000,
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extraction_function: Callable[[Dict], str] = json.dumps,
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) -> None:
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try:
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from astrapy.db import AstraDB
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except (ImportError, ModuleNotFoundError):
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raise ImportError(
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"Could not import a recent astrapy python package. "
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"Please install it with `pip install --upgrade astrapy`."
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)
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# Conflicting-arg checks:
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if astra_db_client is not None:
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if token is not None or api_endpoint is not None:
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raise ValueError(
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"You cannot pass 'astra_db_client' to AstraDB if passing "
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"'token' and 'api_endpoint'."
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)
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self.filter = filter_criteria
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self.projection = projection
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self.find_options = find_options or {}
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self.nb_prefetched = nb_prefetched
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self.extraction_function = extraction_function
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if astra_db_client is not None:
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astra_db = astra_db_client
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else:
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astra_db = AstraDB(
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token=token,
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api_endpoint=api_endpoint,
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namespace=namespace,
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)
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self.collection = astra_db.collection(collection_name)
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def load(self) -> List[Document]:
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"""Eagerly load the content."""
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return list(self.lazy_load())
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def lazy_load(self) -> Iterator[Document]:
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queue = Queue(self.nb_prefetched)
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t = threading.Thread(target=self.fetch_results, args=(queue,))
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t.start()
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while True:
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doc = queue.get()
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if doc is None:
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break
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yield doc
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t.join()
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def fetch_results(self, queue: Queue):
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self.fetch_page_result(queue)
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while self.find_options.get("pageState"):
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self.fetch_page_result(queue)
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queue.put(None)
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def fetch_page_result(self, queue: Queue):
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res = self.collection.find(
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filter=self.filter,
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options=self.find_options,
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projection=self.projection,
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sort=None,
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)
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self.find_options["pageState"] = res["data"].get("nextPageState")
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for doc in res["data"]["documents"]:
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queue.put(
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Document(
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page_content=self.extraction_function(doc),
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metadata={
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"namespace": self.collection.astra_db.namespace,
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"api_endpoint": self.collection.astra_db.base_url,
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"collection": self.collection.collection_name,
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},
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)
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)
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