ResourceNotFoundError: (NotFound) Figures analyze result does not exist.

Question

I'm trying to extract figure from a PDF document. Below is the code that I'm running:

import os
from dotenv import load_dotenv
import base64
import json

# Azure packages to import
from azure.core.credentials import AzureKeyCredential
from azure.ai.documentintelligence import DocumentIntelligenceClient
from azure.ai.documentintelligence.models import AnalyzeOutputOption, AnalyzeResult, AnalyzeDocumentRequest

load_dotenv()

document_intelligence_client = DocumentIntelligenceClient(
        endpoint=endpoint, credential=AzureKeyCredential(key)
    )


filepath = "input_data/zomato-annual-report-2024-short.pdf"


with open(filepath, "rb") as f:
    poller = document_intelligence_client.begin_analyze_document(
        "prebuilt-layout",
        analyze_request=f,
        output=[AnalyzeOutputOption.FIGURES],
        content_type="application/octet-stream",
    )
result: AnalyzeResult = poller.result()

operation_id = poller.details["operation_id"]


if result.figures:
    for figure in result.figures:
        if figure.id:
            response = document_intelligence_client.get_analyze_result_figure(
                model_id=result.model_id, result_id=operation_id, figure_id=figure.id
            )
            with open(f"{figure.id}.png", "wb") as writer:
                writer.writelines(response)
else:
    print("No figures found.")

I'm getting the below error. Not sure where I'm going wrong since I'm following the documentation as is: https://learn.microsoft.com/en-us/python/api/overview/azure/ai-documentintelligence-readme?view=azure-python-preview

I'm using the Azure AI Document Intelligence client library for Python - version 1.0.0b4

---------------------------------------------------------------------------
ResourceNotFoundError                     Traceback (most recent call last)
Cell In[66], line 4
      2 for figure in result.figures:
      3     if figure.id:
----> 4         response = document_intelligence_client.get_analyze_result_figure(
      5             model_id=result.model_id, result_id=operation_id, figure_id=figure.id
      6         )
      7         with open(f"{figure.id}.png", "wb") as writer:
      8             writer.writelines(response)
File c:\Users\meraj\anaconda3\envs\jupyter_env\lib\site-packages\azure\core\tracing\decorator.py:105, in distributed_trace.<locals>.decorator.<locals>.wrapper_use_tracer(*args, **kwargs)
    103 span_impl_type = settings.tracing_implementation()
    104 if span_impl_type is None:
--> 105     return func(*args, **kwargs)
    107 # Merge span is parameter is set, but only if no explicit parent are passed
    108 if merge_span and not passed_in_parent:
File c:\Users\meraj\anaconda3\envs\jupyter_env\lib\site-packages\azure\ai\documentintelligence\_operations\_operations.py:1470, in DocumentIntelligenceClientOperationsMixin.get_analyze_result_figure(self, model_id, result_id, figure_id, **kwargs)
   1468     except (StreamConsumedError, StreamClosedError):
   1469         pass
-> 1470 map_error(status_code=response.status_code, response=response, error_map=error_map)
   1471 error = _deserialize(_models.ErrorResponse, response.json())
   1472 raise HttpResponseError(response=response, model=error)
File c:\Users\meraj\anaconda3\envs\jupyter_env\lib\site-packages\azure\core\exceptions.py:163, in map_error(status_code, response, error_map)
    161     return
    162 error = error_type(response=response)
--> 163 raise error
ResourceNotFoundError: (NotFound) Figures analyze result does not exist.
Code: NotFound
Message: Figures analyze result does not exist.

Answer 1

Hi Meraj Shaikh

Welcome to Microsoft Q&A Forum, thank you for posting your query here!

I was able to extract figures both in 1.0.0 and 1.0.0b4. Taking some more time for 1.0.0b4 but completing eventually. Could you change to any other interpreter than anaconda and different python version.  Have used VS code and python 3.9 interpreter for replicating. Needed changes for 1.0.0

with open(filepath, "rb") as f:
    poller = document_intelligence_client.begin_analyze_document(
        "prebuilt-layout",
         body=f,
         output=[AnalyzeOutputOption.FIGURES],
    )  

Thank You.