def get_phone(text,detected_lang):
from ner_v2.detectors.pattern.phone_number.phone_number_detection import PhoneDetector
detector = PhoneDetector(language=detected_lang, entity_name='phone_number', locale='en-IN')
return detector.detect_entity(text)
def phone_number(request):
"""Uses PhoneDetector to detect phone numbers
request params:
message (list or str): string for get request and list of text for bulk call through
post request on which detection logic is to be run
entity_name (str): name of the entity. Also acts as elastic-search dictionary name
if entity uses elastic-search lookup
structured_value (str): Value obtained from any structured elements. Note if structured value is
detection is run on structured value instead of message
(For example, UI elements like form, payload, etc)
fallback_value (str): If the detection logic fails to detect any value either from structured_value
or message then we return a fallback_value as an output.
bot_message (str): previous message from a bot/agent.
source_language (str): language for which the phone numbers have to be detected
Returns:
response (django.http.response.HttpResponse): HttpResponse object
Examples:
message = "Call 02226129857 and message +1(408) 92-124 and send 100rs to 91 9820334416 9920441344"
entity_name = 'phone_number'
structured_value = None
fallback_value = None
bot_message = None
source_language = 'en'
entity_output:
[
{
"detection": "message",
"original_text": "91 9820334416",
"entity_value": {
"value": "919820334416"
},
"language": "en"
},
{
"detection": "message",
"original_text": "9920441344",
"entity_value": {
"value": "9920441344"
},
"language": "en"
},
{
"detection": "message",
"original_text": "02226129857",
"entity_value": {
"value": "02226129857"
},
"language": "en"
},
{
"detection": "message",
"original_text": "+1(408) 92-124",
"entity_value": {
"value": "140892124"
},
"language": "en"
}
]
message = ["Call 02226129857' , 'message +1(408) 92-124' ,'send 100rs to 91 9820334416 9920441344']
entity_name = 'phone_number'
source_language = 'en'
entity_output:
[
[{
"detection": "message",
"original_text": "02226129857",
"entity_value": {
"value": "02226129857"
},
"language": "en"
}
],
[
{
"detection": "message",
"original_text": "+1(408) 92-124",
"entity_value": {
"value": "140892124"
},
"language": "en"
}
],
[
{
"detection": "message",
"original_text": "91 9820334416",
"entity_value": {
"value": "919820334416"
},
"language": "en"
},
{
"detection": "message",
"original_text": "9920441344",
"entity_value": {
"value": "9920441344"
},
"language": "en"
}
]
]
"""
try:
if request.method == "POST":
parameters_dict = parse_post_request(request)
ner_logger.debug('Start Bulk Detection: %s ' %
parameters_dict[PARAMETER_ENTITY_NAME])
elif request.method == "GET":
parameters_dict = get_parameters_dictionary(request)
ner_logger.debug('Start: %s ' %
parameters_dict[PARAMETER_ENTITY_NAME])
entity_name = parameters_dict[PARAMETER_ENTITY_NAME]
language = parameters_dict[PARAMETER_SOURCE_LANGUAGE]
ner_logger.debug('Entity Name %s' % entity_name)
ner_logger.debug('Source Language %s' % language)
phone_number_detection = PhoneDetector(entity_name=entity_name,
language=language)
message = parameters_dict[PARAMETER_MESSAGE]
if isinstance(message, six.string_types):
entity_output = phone_number_detection.detect(
message=message,
structured_value=parameters_dict[PARAMETER_STRUCTURED_VALUE],
fallback_value=parameters_dict[PARAMETER_FALLBACK_VALUE],
bot_message=parameters_dict[PARAMETER_BOT_MESSAGE])
elif isinstance(message, (list, tuple)):
entity_output = phone_number_detection.detect_bulk(
messages=message)
ner_logger.debug(
'Finished %s : %s ' %
(parameters_dict[PARAMETER_ENTITY_NAME], entity_output))
except TypeError as e:
ner_logger.exception('Exception for phone_number: %s ' % e)
return HttpResponse(status=500)
return HttpResponse(json.dumps({'data': entity_output}),
content_type='application/json')