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ParseAddresses.py
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ParseAddresses.py
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# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import json
import re
from nifiapi.flowfiletransform import FlowFileTransform, FlowFileTransformResult
from nifiapi.properties import PropertyDescriptor, StandardValidators, ExpressionLanguageScope
### Parse Addresses
class ParseAddresses(FlowFileTransform):
class Java:
implements = ['org.apache.nifi.python.processor.FlowFileTransform']
class ProcessorDetails:
version = '2.0.0-M2'
dependencies = ['pyap' ]
description = """Extract NLP Addresses """
tags = ["locations", "NLP", "pyap", "extract addresses", "addresses", "ai", "artificial intelligence", "ml", "machine learning", "text", "LLM"]
PARSE_TEXT = PropertyDescriptor(
name="Parse Text",
description="Specifies the text to parse for addresses",
required=True,
validators=[StandardValidators.NON_EMPTY_VALIDATOR],
expression_language_scope=ExpressionLanguageScope.FLOWFILE_ATTRIBUTES
)
property_descriptors = [
PARSE_TEXT
]
def __init__(self, **kwargs):
super().__init__()
self.property_descriptors.append(self.PARSE_TEXT)
def getPropertyDescriptors(self):
return self.property_descriptors
def transform(self, context, flowfile):
import pyap
parse_text = context.getProperty(self.PARSE_TEXT).evaluateAttributeExpressions(flowfile).getValue()
addresses = pyap.parse(parse_text, country='US')
primaryaddress = ""
json_string = ""
try:
for address in addresses:
# shows found address
if str(address) != "" :
primaryaddress = str(address)
json_string = json.dumps(address.as_dict())
except Exception as ex:
print(ex)
attributes = { "primaryaddress": primaryaddress }
return FlowFileTransformResult(relationship = "success", contents=json_string, attributes=attributes)