Dokument AI -Klassifikator empfängt 404 Fehler ⇐ Python

[Guest]

Ich habe einen Prozessor in Google Cloud (Klassifizier) erstellt. < /li>
Ich habe es trainiert. /> < /ol>

Code: Select all

Traceback (most recent call last):
File "c:\Users\Anwender\Desktop\floowy\Versicherung\code\test.py", line 95, in 
process_document_sample(
~~~~~~~~~~~~~~~~~~~~~~~^
project_id="466668368501",
^^^^^^^^^^^^^^^^^^^^^^^^^^
......
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,
......
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,
......
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,
......
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
< /code>
Dies ist der Code, den ich verwendet habe: < /p>
# 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",
)

Ich habe versucht, es auszuführen, aber ich bin in jeder Hinsicht stecken geblieben, als ich bei diesem Fehler versucht habe.>