utkarsharma2 commented on code in PR #35094: URL: https://github.com/apache/airflow/pull/35094#discussion_r1377384152
########## airflow/providers/pinecone/operators/pinecone_operator.py: ########## @@ -0,0 +1,83 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +from __future__ import annotations + +from functools import cached_property +from typing import TYPE_CHECKING, Any, Sequence + +from airflow.models import BaseOperator +from airflow.providers.pinecone.hooks.pinecone_hook import PineconeHook + +if TYPE_CHECKING: + from airflow.utils.context import Context + + +class PineconeIngestOperator(BaseOperator): + """ + Airflow Operator to ingest vector embeddings into Pinecone. + + .. seealso:: + For more information on how to use this operator, take a look at the guide: + :ref:`howto/operator:PineconeIngestOperator` + + :param conn_id: pinecone_conn_id: The connection id to use when connecting to Pinecone. + :param index_name: Name of the Pinecone index. + :param vectors: Data to be ingested, in the form of a list of tuples where each tuple + contains (id, vector_embedding, metadata). + :param namespace: The namespace to write to. If not specified, the default namespace is used. + :param batch_size: The number of vectors to upsert in each batch. + """ + + template_fields: Sequence[str] = ("input_vectors",) + + def __init__( + self, + *, + conn_id: str = PineconeHook.default_conn_name, + index_name: str, + input_vectors: list[Any], + namespace: str = "", + batch_size: int | None = None, + **kwargs: Any, + ) -> None: + self.upsert_kwargs = kwargs.pop("upsert_kwargs", {}) Review Comment: Same thought - https://github.com/apache/airflow/pull/35023#discussion_r1376207422 -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: commits-unsubscr...@airflow.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
