tools/doc_intelligence.py [176:242]:
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            logging.info(f"[docintelligence][{filename}] Sent analysis request.")
        except Exception as e:
            error_message = f"Error when sending request to Document Intelligence API: {e}"
            logging.error(f"[docintelligence][{filename}] {error_message}")
            errors.append(error_message)
            return result, errors

        if response.status_code != 202:
            error_messages = {
                404: "Resource not found. Please verify your request URL. The Document Intelligence API version you are using may not be supported in your region.",
            }    
            error_message = error_messages.get(
                response.status_code, 
                f"Document Intelligence request error, code {response.status_code}: {response.text}"
            )
            logging.error(f"[docintelligence][{filename}] {error_message}")
            errors.append(error_message)
            return result, errors

        get_url = response.headers.get("Operation-Location")
        if not get_url:
            error_message = "Operation-Location header not found in the response."
            logging.error(f"[docintelligence][{filename}] {error_message}")
            errors.append(error_message)
            return result, errors

        # Extract result_id
        try:
            result_id = get_url.split("/")[-1].split("?")[0]
            logging.debug(f"[docintelligence][{filename}] Extracted result_id: {result_id}")
        except Exception as e:
            error_message = f"Error extracting result_id: {e}"
            logging.error(f"[docintelligence][{filename}] {error_message}")
            errors.append(error_message)

        result_headers = headers.copy()
        result_headers["Content-Type"] = "application/json-patch+json"

        while True:
            try:
                result_response = requests.get(get_url, headers=result_headers)
                result_json = result_response.json()

                if result_response.status_code != 200 or result_json.get("status") == "failed":
                    error_message = f"Document Intelligence polling error, code {result_response.status_code}: {result_response.text}"
                    logging.error(f"[docintelligence][{filename}] {error_message}")
                    errors.append(error_message)
                    break

                if result_json.get("status") == "succeeded":
                    result = result_json.get('analyzeResult', {})
                    logging.debug(f"[docintelligence][{filename}] Analysis succeeded.")
                    break

                logging.debug(f"[docintelligence][{filename}] Analysis in progress. Waiting for 2 seconds before retrying.")
                time.sleep(2)
            except Exception as e:
                error_message = f"Error during polling for analysis result: {e}"
                logging.error(f"[docintelligence][{filename}] {error_message}")
                errors.append(error_message)
                break

        # enrich result
        result['result_id'] = result_id
        result['model_id'] = model

        return result, errors
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tools/doc_intelligence.py [325:391]:
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            logging.info(f"[docintelligence][{filename}] Sent analysis request.")
        except Exception as e:
            error_message = f"Error when sending request to Document Intelligence API: {e}"
            logging.error(f"[docintelligence][{filename}] {error_message}")
            errors.append(error_message)
            return result, errors

        if response.status_code != 202:
            error_messages = {
                404: "Resource not found. Please verify your request URL. The Document Intelligence API version you are using may not be supported in your region.",
            }
            error_message = error_messages.get(
                response.status_code, 
                f"Document Intelligence request error, code {response.status_code}: {response.text}"
            )
            logging.error(f"[docintelligence][{filename}] {error_message}")
            errors.append(error_message)
            return result, errors

        get_url = response.headers.get("Operation-Location")
        if not get_url:
            error_message = "Operation-Location header not found in the response."
            logging.error(f"[docintelligence][{filename}] {error_message}")
            errors.append(error_message)
            return result, errors

        # Extract result_id
        try:
            result_id = get_url.split("/")[-1].split("?")[0]
            logging.debug(f"[docintelligence][{filename}] Extracted result_id: {result_id}")
        except Exception as e:
            error_message = f"Error extracting result_id: {e}"
            logging.error(f"[docintelligence][{filename}] {error_message}")
            errors.append(error_message)

        result_headers = headers.copy()
        result_headers["Content-Type"] = "application/json-patch+json"

        while True:
            try:
                result_response = requests.get(get_url, headers=result_headers)
                result_json = result_response.json()

                if result_response.status_code != 200 or result_json.get("status") == "failed":
                    error_message = f"Document Intelligence polling error, code {result_response.status_code}: {result_response.text}"
                    logging.error(f"[docintelligence][{filename}] {error_message}")
                    errors.append(error_message)
                    break

                if result_json.get("status") == "succeeded":
                    result = result_json.get('analyzeResult', {})
                    logging.debug(f"[docintelligence][{filename}] Analysis succeeded.")
                    break

                logging.debug(f"[docintelligence][{filename}] Analysis in progress. Waiting for 2 seconds before retrying.")
                time.sleep(2)
            except Exception as e:
                error_message = f"Error during polling for analysis result: {e}"
                logging.error(f"[docintelligence][{filename}] {error_message}")
                errors.append(error_message)
                break

        # enrich result
        result['result_id'] = result_id
        result['model_id'] = model

        return result, errors
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