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# coding: utf-8
# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
"""
FILE: sample_analyze_addon_barcodes.py
DESCRIPTION:
This sample demonstrates how to extract all identified barcodes using the
add-on 'BARCODES' capability.
This sample uses Layout model to demonstrate.
Add-on capabilities accept a list of strings containing values from the `DocumentAnalysisFeature`
enum class. For more information, see:
https://aka.ms/azsdk/python/documentintelligence/analysisfeature.
The following capabilities are free:
- BARCODES
- LANGUAGES
The following capabilities will incur additional charges:
- FORMULAS
- OCR_HIGH_RESOLUTION
- STYLE_FONT
- QUERY_FIELDS
See pricing: https://azure.microsoft.com/pricing/details/ai-document-intelligence/.
USAGE:
python sample_analyze_addon_barcodes.py
Set the environment variables with your own values before running the sample:
1) DOCUMENTINTELLIGENCE_ENDPOINT - the endpoint to your Document Intelligence resource.
2) DOCUMENTINTELLIGENCE_API_KEY - your Document Intelligence API key.
"""
import os
def analyze_barcodes():
path_to_sample_documents = os.path.abspath(
os.path.join(
os.path.abspath(__file__),
"..",
"sample_forms/add_ons/barcodes.jpg",
)
)
# [START analyze_barcodes]
from azure.core.credentials import AzureKeyCredential
from azure.ai.documentintelligence import DocumentIntelligenceClient
from azure.ai.documentintelligence.models import DocumentAnalysisFeature, AnalyzeResult
endpoint = os.environ["DOCUMENTINTELLIGENCE_ENDPOINT"]
key = os.environ["DOCUMENTINTELLIGENCE_API_KEY"]
document_intelligence_client = DocumentIntelligenceClient(endpoint=endpoint, credential=AzureKeyCredential(key))
# Specify which add-on capabilities to enable.
with open(path_to_sample_documents, "rb") as f:
poller = document_intelligence_client.begin_analyze_document(
"prebuilt-layout",
body=f,
features=[DocumentAnalysisFeature.BARCODES],
)
result: AnalyzeResult = poller.result()
# Iterate over extracted barcodes on each page.
for page in result.pages:
print(f"----Barcodes detected from page #{page.page_number}----")
if page.barcodes:
print(f"Detected {len(page.barcodes)} barcodes:")
for barcode_idx, barcode in enumerate(page.barcodes):
print(f"- Barcode #{barcode_idx}: {barcode.value}")
print(f" Kind: {barcode.kind}")
print(f" Confidence: {barcode.confidence}")
if not barcode.polygon:
print(" Bounding regions: N/A")
else:
print(" Bounding regions: ")
print(
", ".join(
[
f"[{barcode.polygon[i]}, {barcode.polygon[i + 1]}]"
for i in range(0, len(barcode.polygon), 2)
]
)
)
print("----------------------------------------")
# [END analyze_barcodes]
if __name__ == "__main__":
from azure.core.exceptions import HttpResponseError
from dotenv import find_dotenv, load_dotenv
try:
load_dotenv(find_dotenv())
analyze_barcodes()
except HttpResponseError as error:
# Examples of how to check an HttpResponseError
# Check by error code:
if error.error is not None:
if error.error.code == "InvalidImage":
print(f"Received an invalid image error: {error.error}")
if error.error.code == "InvalidRequest":
print(f"Received an invalid request error: {error.error}")
# Raise the error again after printing it
raise
# If the inner error is None and then it is possible to check the message to get more information:
if "Invalid request".casefold() in error.message.casefold():
print(f"Uh-oh! Seems there was an invalid request: {error}")
# Raise the error again
raise
|
