nlpcraft/src/main/python/spacy_proxy.py

#
# 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 urllib.parse

import spacy
from flask import Flask, request
from flask_restful import Resource, Api

#
# This is an example of spaCy REST proxy. It only should be used during development.
# For production usage we recommend WSGI server instead.
#

#
# Add your own or modify spaCy libraries here.
# By default, the English model 'en_core_web_sm' is loaded.
#
nlp = spacy.load("en_core_web_sm")

app = Flask(__name__)
api = Api(app)


class Ner(Resource):
    @staticmethod
    def get():

        doc = nlp(urllib.parse.unquote_plus(request.args.get('text')))
        res = []
        for e in doc.ents:
            meta = {}

            # Change the following two lines to implements your own logic for
            # filling up meta object with custom user attributes. 'meta' should be a dictionary (JSON)
            # with types 'string:string'.
            for key in e._.span_extensions:
                meta[key] = e._.__getattr__(key)

            res.append(
                {
                    "text": e.text,
                    "from": e.start_char,
                    "to": e.end_char,
                    "ner": e.label_,
                    "vector": str(e.vector_norm),
                    "sentiment": str(e.sentiment),
                    "meta": meta
                }
            )

        return res


api.add_resource(Ner, '/spacy')

#
# Default endpoint is 'localhost:5002'. Note that this should be the same endpoint
# as in server configuration.
#
if __name__ == '__main__':
    app.run(
        host="localhost",
        port='5002'
    )