def test_authentication_bad_key(self, formrecognizer_test_endpoint,
formrecognizer_test_api_key):
client = FormRecognizerClient(formrecognizer_test_endpoint,
AzureKeyCredential("xxxx"))
with self.assertRaises(ClientAuthenticationError):
poller = client.begin_recognize_identity_documents(
b"xx", content_type="image/jpeg")
def test_identity_document_bad_endpoint(self, formrecognizer_test_api_key):
with open(self.identity_document_license_jpg, "rb") as fd:
myfile = fd.read()
with self.assertRaises(ServiceRequestError):
client = FormRecognizerClient(
"http://notreal.azure.com",
AzureKeyCredential(formrecognizer_test_api_key))
poller = client.begin_recognize_identity_documents(myfile)
def recognize_identity_documents(self):
path_to_sample_forms = os.path.abspath(
os.path.join(os.path.abspath(__file__), "..", "..",
"./sample_forms/id_documents/license.jpg"))
# [START recognize_identity_documents]
from azure.core.credentials import AzureKeyCredential
from azure.ai.formrecognizer import FormRecognizerClient
endpoint = os.environ["AZURE_FORM_RECOGNIZER_ENDPOINT"]
key = os.environ["AZURE_FORM_RECOGNIZER_KEY"]
form_recognizer_client = FormRecognizerClient(
endpoint=endpoint, credential=AzureKeyCredential(key))
with open(path_to_sample_forms, "rb") as f:
poller = form_recognizer_client.begin_recognize_identity_documents(
identity_document=f)
id_documents = poller.result()
for idx, id_document in enumerate(id_documents):
print("--------Recognizing ID document #{}--------".format(idx +
1))
first_name = id_document.fields.get("FirstName")
if first_name:
print("First Name: {} has confidence: {}".format(
first_name.value, first_name.confidence))
last_name = id_document.fields.get("LastName")
if last_name:
print("Last Name: {} has confidence: {}".format(
last_name.value, last_name.confidence))
document_number = id_document.fields.get("DocumentNumber")
if document_number:
print("Document Number: {} has confidence: {}".format(
document_number.value, document_number.confidence))
dob = id_document.fields.get("DateOfBirth")
if dob:
print("Date of Birth: {} has confidence: {}".format(
dob.value, dob.confidence))
doe = id_document.fields.get("DateOfExpiration")
if doe:
print("Date of Expiration: {} has confidence: {}".format(
doe.value, doe.confidence))
sex = id_document.fields.get("Sex")
if sex:
print("Sex: {} has confidence: {}".format(
sex.value, sex.confidence))
address = id_document.fields.get("Address")
if address:
print("Address: {} has confidence: {}".format(
address.value, address.confidence))
country_region = id_document.fields.get("CountryRegion")
if country_region:
print("Country/Region: {} has confidence: {}".format(
country_region.value, country_region.confidence))
region = id_document.fields.get("Region")
if region:
print("Region: {} has confidence: {}".format(
region.value, region.confidence))
def convert_to_and_from_dict():
path_to_sample_forms = os.path.abspath(
os.path.join(
os.path.abspath(__file__),
"..",
"..",
"./sample_forms/id_documents/license.jpg",
))
from azure.core.serialization import AzureJSONEncoder
from azure.core.credentials import AzureKeyCredential
from azure.ai.formrecognizer import FormRecognizerClient, RecognizedForm
endpoint = os.environ["AZURE_FORM_RECOGNIZER_ENDPOINT"]
key = os.environ["AZURE_FORM_RECOGNIZER_KEY"]
form_recognizer_client = FormRecognizerClient(
endpoint=endpoint, credential=AzureKeyCredential(key))
with open(path_to_sample_forms, "rb") as f:
poller = form_recognizer_client.begin_recognize_identity_documents(
identity_document=f)
id_documents = poller.result()
# convert the received model to a dictionary
recognized_form_dict = [doc.to_dict() for doc in id_documents]
# save the dictionary as JSON content in a JSON file, use the AzureJSONEncoder
# to help make types, such as dates, JSON serializable
# NOTE: AzureJSONEncoder is only available with azure.core>=1.18.0.
with open('data.json', 'w') as f:
json.dump(recognized_form_dict, f, cls=AzureJSONEncoder)
# convert the dictionary back to the original model
model = [RecognizedForm.from_dict(doc) for doc in recognized_form_dict]
# use the model as normal
for idx, id_document in enumerate(model):
print("--------Recognizing converted ID document #{}--------".format(
idx + 1))
first_name = id_document.fields.get("FirstName")
if first_name:
print("First Name: {} has confidence: {}".format(
first_name.value, first_name.confidence))
last_name = id_document.fields.get("LastName")
if last_name:
print("Last Name: {} has confidence: {}".format(
last_name.value, last_name.confidence))
document_number = id_document.fields.get("DocumentNumber")
if document_number:
print("Document Number: {} has confidence: {}".format(
document_number.value, document_number.confidence))
print("----------------------------------------")
# </snippet_manage_getmodel>
# <snippet_manage_delete>
form_training_client.delete_model(model_id=custom_model.model_id)
try:
form_training_client.get_custom_model(model_id=custom_model.model_id)
except ResourceNotFoundError:
print("Successfully deleted model with id {}".format(custom_model.model_id))
# </snippet_manage_delete>
# <snippet_id>
idURL = "https://raw.githubusercontent.com/Azure-Samples/cognitive-services-REST-api-samples/master/curl/form-recognizer/id-license.jpg"
with open(path_to_sample_forms, "rb") as f:
poller = form_recognizer_client.begin_recognize_identity_documents(idURL=f)
id_documents = poller.result()
for idx, id_document in enumerate(id_documents):
print("--------Recognizing ID document #{}--------".format(idx+1))
first_name = id_document.fields.get("FirstName")
if first_name:
print("First Name: {} has confidence: {}".format(first_name.value, first_name.confidence))
last_name = id_document.fields.get("LastName")
if last_name:
print("Last Name: {} has confidence: {}".format(last_name.value, last_name.confidence))
document_number = id_document.fields.get("DocumentNumber")
if document_number:
print("Document Number: {} has confidence: {}".format(document_number.value, document_number.confidence))
dob = id_document.fields.get("DateOfBirth")
if dob:
