I created a processor in google cloud(classifier). I trained it I deployed it I setup everything as it said in google cloud when you click on sample request: enter image description here I get this error: Traceback (most recent call last): File "c:\Users\Anwender\Desktop\floowy\Versicherung\code\test.py", line 95, in <module> process_document_sample( ~~~~~~~~~~~~~~~~~~~~~~~^ project_id="466668368501", ^^^^^^^^^^^^^^^^^^^^^^^^^^ ...<3 lines>... mime_type="application/pdf", ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ) ^ File "c:\Users\Anwender\Desktop\floowy\Versicherung\code\test.py", line 83, in process_document_sample result = client.process_document(request=request) File "c:\Users\Anwender\AppData\Local\Programs\Python\Python313\Lib\site-packages\google\cloud\documentai_v1\services\document_processor_service\client.py", line 951, in process_document response = rpc( request, ...<2 lines>... metadata=metadata, ) File "c:\Users\Anwender\AppData\Local\Programs\Python\Python313\Lib\site-packages\google\api_core\gapic_v1\method.py", line 131, in __call__ return wrapped_func(*args, **kwargs) File "c:\Users\Anwender\AppData\Local\Programs\Python\Python313\Lib\site-packages\google\api_core\retry\retry_unary.py", line 294, in retry_wrapped_func return retry_target( target, ...<3 lines>... on_error=on_error, ) File "c:\Users\Anwender\AppData\Local\Programs\Python\Python313\Lib\site-packages\google\api_core\retry\retry_unary.py", line 156, in retry_target next_sleep = _retry_error_helper( exc, ...<6 lines>... timeout, ) File "c:\Users\Anwender\AppData\Local\Programs\Python\Python313\Lib\site-packages\google\api_core\retry\retry_base.py", line 214, in _retry_error_helper raise final_exc from source_exc File "c:\Users\Anwender\AppData\Local\Programs\Python\Python313\Lib\site-packages\google\api_core\retry\retry_unary.py", line 147, in retry_target result = target() File "c:\Users\Anwender\AppData\Local\Programs\Python\Python313\Lib\site-packages\google\api_core\timeout.py", line 130, in func_with_timeout return func(*args, **kwargs) File "c:\Users\Anwender\AppData\Local\Programs\Python\Python313\Lib\site-packages\google\api_core\grpc_helpers.py", line 78, in error_remapped_callable raise exceptions.from_grpc_error(exc) from exc google.api_core.exceptions.NotFound: 404 No such object: 466668368501-d418bbad5c2c13e5-training/d418bbad5c2c13e5/affa3098b893f053/training-data/15/b133e2f991bda0a0.json This is the code I used: # Copyright 2020 Google LLC # # Licensed 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. # # [START documentai_process_document] from typing import Optional from google.api_core.client_options import ClientOptions import os from google.cloud import documentai # type: ignore os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = "creds/service_creds.json" project_id = "inspired-ether-458806-u7" location = "us" # Format is "us" or "eu" processor_id = "d418bbad5c2c13e5" # Create processor before running sample file_path = "/test_data/KFZ Audi A1.pdf" # The local file in your current working directory mime_type = "application/pdf" # Refer to https://cloud.google.com/document-ai/docs/file-types for supported file types field_mask = "text,entities,pages.pageNumber" # Optional. The fields to return in the Document object. processor_version_id = "affa3098b893f053" # Optional. Processor version to use def process_document_sample( project_id: str, location: str, processor_id: str, file_path: str, mime_type: str, field_mask: Optional[str] = None, processor_version_id: Optional[str] = None, ) -> None: # You must set the `api_endpoint` if you use a location other than "us". opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com") client = documentai.DocumentProcessorServiceClient(client_options=opts) if processor_version_id: # The full resource name of the processor version, e.g.: # `projects/{project_id}/locations/{location}/processors/{processor_id}/processorVersions/{processor_version_id}` name = client.processor_version_path( project_id, location, processor_id, processor_version_id ) else: # The full resource name of the processor, e.g.: # `projects/{project_id}/locations/{location}/processors/{processor_id}` name = client.processor_path(project_id, location, processor_id) # Read the file into memory with open(file_path, "rb") as image: image_content = image.read() # Load binary data raw_document = documentai.RawDocument(content=image_content, mime_type=mime_type) # For more information: https://cloud.google.com/document-ai/docs/reference/rest/v1/ProcessOptions # Optional: Additional configurations for processing. process_options = documentai.ProcessOptions( # Process only specific pages individual_page_selector=documentai.ProcessOptions.IndividualPageSelector( pages=[1] ) ) # Configure the process request request = documentai.ProcessRequest( name=name, raw_document=raw_document, field_mask=field_mask, process_options=process_options, ) result = client.process_document(request=request) # For a full list of `Document` object attributes, reference this page: # https://cloud.google.com/document-ai/docs/reference/rest/v1/Document document = result.document # Read the text recognition output from the processor print("The document contains the following text:") print(document.text) # [END documentai_process_document] process_document_sample( project_id="466668368501", location="us", processor_id="d418bbad5c2c13e5", file_path="./test_data/KFZ.pdf", mime_type="application/pdf", ) I tried to get it to run but I got stuck every way I tried at this error. I set up the service account in google cloud as it said in the guide, but maybe there is some error, because I haven't found a single person online who had the same error as I have. Continue reading...