utkarsharma2 commented on code in PR #36085: URL: https://github.com/apache/airflow/pull/36085#discussion_r1420282153
########## airflow/providers/weaviate/hooks/weaviate.py: ########## @@ -144,22 +148,63 @@ def create_schema(self, schema_json: dict[str, Any]) -> None: client = self.conn client.schema.create(schema_json) + @staticmethod + def check_http_error_should_retry(exc: BaseException): + return isinstance(exc, requests.HTTPError) and not exc.response.ok + + @staticmethod + def _convert_dataframe_to_list(data: list[dict[str, Any]] | pd.DataFrame) -> list[dict[str, Any]]: + """Helper function to convert dataframe to list of dicts. + + In scenario where Pandas isn't installed and we pass data as a list of dictionaries, importing + Pandas will fail, which is invalid. This function handles this scenario. + """ + with contextlib.suppress(ImportError): + import pandas + + if isinstance(data, pandas.DataFrame): + data = cast(List[Dict[str, Any]], json.loads(data.to_json(orient="records"))) + return data + def batch_data( - self, class_name: str, data: list[dict[str, Any]], batch_config_params: dict[str, Any] | None = None + self, + class_name: str, + data: list[dict[str, Any]] | pd.DataFrame, + batch_config_params: dict[str, Any] | None = None, + vector_col: str = "Vector", + retry_attempts_per_object: int = 5, ) -> None: + """ + Add multiple objects or object references at once into weaviate. + + :param class_name: The name of the class that objects belongs to. + :param data: list or dataframe of objects we want to add. + :param batch_config_params: dict of batch configuration option. + .. seealso:: `batch_config_params options <https://weaviate-python-client.readthedocs.io/en/v3.25.3/weaviate.batch.html#weaviate.batch.Batch.configure>`__ + :param vector_col: name of the column containing the vector. + :param retry_attempts_per_object: number of time to try in case of failure before giving up. + """ client = self.conn if not batch_config_params: batch_config_params = {} client.batch.configure(**batch_config_params) + data = self._convert_dataframe_to_list(data) with client.batch as batch: # Batch import all data for index, data_obj in enumerate(data): - self.log.debug("importing data: %s", index + 1) - vector = data_obj.pop("Vector", None) - if vector is not None: - batch.add_data_object(data_obj, class_name, vector=vector) - else: - batch.add_data_object(data_obj, class_name) + for attempt in Retrying( + stop=stop_after_attempt(retry_attempts_per_object), + retry=retry_if_exception(self.check_http_error_should_retry), + ): + with attempt: + self.log.debug( + "Attempt %s of importing data: %s", attempt.retry_state.attempt_number, index + 1 + ) + vector = data_obj.pop(vector_col, None) + if vector is not None: + batch.add_data_object(data_obj, class_name, vector=vector) + else: + batch.add_data_object(data_obj, class_name) Review Comment: We are already doing `pop` I guess we can just remove the `if-else` block. -- 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