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import boto3 from langchain.vectorstores import OpenSearchVectorSearch service = "es" region = "ap-southeast-1" credentials = boto3.Session().get_credentials() awsauth = AWS4Auth(credentials.access_key, credentials.secret_key, region, service, session_token=credentials.token) docsearch = OpenSearchVectorSearch( index_name=index_name, embedding_function=embeddings_endpoint, opensearch_url= my_url, http_auth=awsauth, use_ssl=False, verify_certs=False, ssl_assert_hostname=False, ssl_show_warn=False )
TypeError Traceback (most recent call last) File ~/anaconda3/envs/pytorch_p310/lib/python3.10/site-packages/opensearchpy/connection/http_urllib3.py:262, in Urllib3HttpConnection.perform_request(self, method, url, params, body, timeout, ignore, headers) 261 if isinstance(self.http_auth, Callable): # type: ignore --> 262 request_headers.update(self.http_auth(method, full_url, body)) 264 response = self.pool.urlopen( 265 method, url, body, retries=Retry(False), headers=request_headers, **kw 266 ) TypeError: AWS4Auth.__call__() takes 2 positional arguments but 4 were given During handling of the above exception, another exception occurred: ConnectionError Traceback (most recent call last) Cell In[29], line 1 ----> 1 docsearch.add_documents(documents=text) File ~/anaconda3/envs/pytorch_p310/lib/python3.10/site-packages/langchain_core/vectorstores.py:119, in VectorStore.add_documents(self, documents, **kwargs) 117 texts = [doc.page_content for doc in documents] 118 metadatas = [doc.metadata for doc in documents] --> 119 return self.add_texts(texts, metadatas, **kwargs) File ~/anaconda3/envs/pytorch_p310/lib/python3.10/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:411, in OpenSearchVectorSearch.add_texts(self, texts, metadatas, ids, bulk_size, **kwargs) 392 """Run more texts through the embeddings and add to the vectorstore. 393 394 Args: (...) 408 to "text". 409 """ 410 embeddings = self.embedding_function.embed_documents(list(texts)) --> 411 return self.__add( 412 texts, 413 embeddings, 414 metadatas=metadatas, 415 ids=ids, 416 bulk_size=bulk_size, 417 **kwargs, 418 ) File ~/anaconda3/envs/pytorch_p310/lib/python3.10/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:370, in OpenSearchVectorSearch.__add(self, texts, embeddings, metadatas, ids, bulk_size, **kwargs) 364 _validate_aoss_with_engines(self.is_aoss, engine) 366 mapping = _default_text_mapping( 367 dim, engine, space_type, ef_search, ef_construction, m, vector_field 368 ) --> 370 return _bulk_ingest_embeddings( 371 self.client, 372 index_name, 373 embeddings, 374 texts, 375 metadatas=metadatas, 376 ids=ids, 377 vector_field=vector_field, 378 text_field=text_field, 379 mapping=mapping, 380 max_chunk_bytes=max_chunk_bytes, 381 is_aoss=self.is_aoss, 382 ) File ~/anaconda3/envs/pytorch_p310/lib/python3.10/site-packages/langchain_community/vectorstores/opensearch_vector_search.py:118, in _bulk_ingest_embeddings(client, index_name, embeddings, texts, metadatas, ids, vector_field, text_field, mapping, max_chunk_bytes, is_aoss) 115 mapping = mapping 117 try: --> 118 client.indices.get(index=index_name) 119 except not_found_error: 120 client.indices.create(index=index_name, body=mapping) File ~/anaconda3/envs/pytorch_p310/lib/python3.10/site-packages/opensearchpy/client/utils.py:181, in query_params.<locals>._wrapper.<locals>._wrapped(*args, **kwargs) 178 if v is not None: 179 params[p] = _escape(v) --> 181 return func(*args, params=params, headers=headers, **kwargs) File ~/anaconda3/envs/pytorch_p310/lib/python3.10/site-packages/opensearchpy/client/indices.py:255, in IndicesClient.get(self, index, params, headers) 252 if index in SKIP_IN_PATH: 253 raise ValueError("Empty value passed for a required argument 'index'.") --> 255 return self.transport.perform_request( 256 "GET", _make_path(index), params=params, headers=headers 257 ) File ~/anaconda3/envs/pytorch_p310/lib/python3.10/site-packages/opensearchpy/transport.py:446, in Transport.perform_request(self, method, url, params, body, timeout, ignore, headers) 444 # raise exception on last retry 445 if attempt == self.max_retries: --> 446 raise e 447 else: 448 raise e File ~/anaconda3/envs/pytorch_p310/lib/python3.10/site-packages/opensearchpy/transport.py:409, in Transport.perform_request(self, method, url, params, body, timeout, ignore, headers) 406 connection = self.get_connection() 408 try: --> 409 status, headers_response, data = connection.perform_request( 410 method, 411 url, 412 params, 413 body, 414 headers=headers, 415 ignore=ignore, 416 timeout=timeout, 417 ) 419 # Lowercase all the header names for consistency in accessing them. 420 headers_response = { 421 header.lower(): value for header, value in headers_response.items() 422 } File ~/anaconda3/envs/pytorch_p310/lib/python3.10/site-packages/opensearchpy/connection/http_urllib3.py:279, in Urllib3HttpConnection.perform_request(self, method, url, params, body, timeout, ignore, headers) 277 if isinstance(e, ReadTimeoutError): 278 raise ConnectionTimeout("TIMEOUT", str(e), e) --> 279 raise ConnectionError("N/A", str(e), e) 281 # raise warnings if any from the 'Warnings' header. 282 warning_headers = response.headers.get_all("warning", ()) ConnectionError: ConnectionError(AWS4Auth.__call__() takes 2 positional arguments but 4 were given) caused by: TypeError(AWS4Auth.__call__() takes 2 positional arguments but 4 were given)
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