I am using 'custom extraction model' of Document Intelligence and I am getting the error ResourceNotFoundError: (NotFound) Resource not found. Code: NotFound Message: Resource not found. Inner error: { "code": "ModelNotFound", "message": "The req

Question

"""

This code sample shows Custom Extraction Model operations with the Azure Form Recognizer client library.

The async versions of the samples require Python 3.6 or later.

To learn more, please visit the documentation - Quickstart: Form Recognizer Python client library SDKs

https://learn.microsoft.com/azure/applied-ai-services/form-recognizer/quickstarts/get-started-v3-sdk-rest-api?view=doc-intel-3.1.0&pivots=programming-language-python

"""

from azure.core.credentials import AzureKeyCredential

from azure.ai.formrecognizer import DocumentAnalysisClient

"""

Remember to remove the key from your code when you're done, and never post it publicly. For production, use

secure methods to store and access your credentials. For more information, see

https://docs.microsoft.com/en-us/azure/cognitive-services/cognitive-services-security?tabs=command-line%2Ccsharp#environment-variables-and-application-configuration

"""

file_path = 'Keys.txt'

key, endpoint = get_accesskey_from_file(file_path)

model_id = "ExtractionModel-NEURAL-POC"

#model_id = os.getenv("CUSTOM_BUILT_MODEL_ID", custom_model_id)

document_analysis_client = DocumentAnalysisClient(

endpoint=endpoint, credential=AzureKeyCredential(key)

)

path_to_sample_documents = "/Users/kshah104/Documents/Ravens Sorting/data/Doc1.pdf"

with open(path_to_sample_documents, "rb") as f:

   poller = document_analysis_client.begin_analyze_document(

       model_id=model_id, document=f

   )

   result = poller.result()

Make sure your document's type is included in the list of document types the custom model can analyze

#poller = document_analysis_client.begin_analyze_document_from_url(model_id, formUrl)

#poller = document_analysis_client.begin_analyze_document(model_id,document=formUrl) #,locale="en-US", pages="1-10","prebuilt-read")

#result = poller.result()

for idx, document in enumerate(result.documents):

print("--------Analyzing document #{}--------".format(idx + 1))

print("Document has type {}".format(document.doc_type))

print("Document has confidence {}".format(document.confidence))

print("Document was analyzed by model with ID {}".format(result.model_id))

for name, field in document.fields.items():

    field_value = field.value if field.value else field.content

    print("......found field of type '{}' with value '{}' and with confidence {}".format(field.value_type, field_value, field.confidence))

iterate over tables, lines, and selection marks on each page

for page in result.pages:

print("\nLines found on page {}".format(page.page_number))

for line in page.lines:

    print("...Line '{}'".format(line.content.encode('utf-8')))

for word in page.words:

    print(

        "...Word '{}' has a confidence of {}".format(

            word.content.encode('utf-8'), word.confidence

        )

    )

for selection_mark in page.selection_marks:

    print(

        "...Selection mark is '{}' and has a confidence of {}".format(

            selection_mark.state, selection_mark.confidence

        )

    )

for i, table in enumerate(result.tables):

print("\nTable {} can be found on page:".format(i + 1))

for region in table.bounding_regions:

    print("...{}".format(i + 1, region.page_number))

for cell in table.cells:

    print(

        "...Cell[{}][{}] has content '{}'".format(

            cell.row_index, cell.column_index, cell.content.encode('utf-8')

        )

    )

print("-----------------------------------")

Answer 1

Hello @ShahKrutiJ-8199 , Thanks for using Microsoft Q&A Platform.

May I know the API version you are working on please share more details?

If you are working on latest API versions make sure you install the package. Also, Public preview version 2024-02-29-preview is currently only available in the following Azure regions: East US, West US2, West Europe

pip install azure-ai-documentintelligence==1.0.0b2

Please check the migration guide: https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/documentintelligence/azure-ai-documentintelligence/MIGRATION_GUIDE.md

I hope this helps.

Regards,

Vasavi