mirror of
https://github.com/gsi-upm/senpy
synced 2024-11-14 12:42:27 +00:00
113 lines
3.7 KiB
Python
113 lines
3.7 KiB
Python
#!/usr/local/bin/python
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# -*- coding: utf-8 -*-
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from future.standard_library import install_aliases
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install_aliases()
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import os
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from rdflib import Graph
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from senpy.extensions import Senpy
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from flask import Flask
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from unittest import TestCase
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from urllib.parse import urlencode
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def parse_resp(resp, fmt):
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return Graph().parse(data=resp.data.decode(), format=fmt)
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class SemanticsTest(TestCase):
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'''Tests for the semantics of the server.'''
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@classmethod
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def setUpClass(cls):
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"""Set up only once, and re-use in every individual test"""
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cls.app = Flask("test_extensions")
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cls.client = cls.app.test_client()
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cls.senpy = Senpy(default_plugins=True)
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cls.senpy.init_app(cls.app)
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cls.dir = os.path.join(os.path.dirname(__file__), "..")
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cls.senpy.add_folder(cls.dir)
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cls.senpy.activate_all()
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cls.senpy.default_plugin = 'Dummy'
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def setUp(self):
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self.app.config['TESTING'] = True # Tell Flask not to catch Exceptions
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def assertCode(self, resp, code):
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self.assertEqual(resp.status_code, code)
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def test_sentiment(self):
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"""
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A sentiment analysis call in JSON-LD
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"""
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# We use expanded JSON-LD and ignore the context, because in general
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# the context is a URIS to the service and that URI is not
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# available outside of self.client
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params = {
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'input': 'hello',
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'in-headers': True,
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'outformat': 'json-ld',
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'expanded': True,
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'prefix': 'http://default.example/#'
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}
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resp = self.client.get("/api/basic?{}".format(urlencode(params)))
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self.assertCode(resp, 200)
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g = parse_resp(resp, fmt='json-ld')
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assert g
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qres = g.query("""
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PREFIX prov: <http://www.w3.org/ns/prov#>
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PREFIX marl: <http://www.gsi.dit.upm.es/ontologies/marl/ns#>
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PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>
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PREFIX onyx: <http://www.gsi.dit.upm.es/ontologies/onyx/ns#>
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PREFIX senpy: <http://www.gsi.upm.es/onto/senpy/ns#>
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SELECT DISTINCT ?entry ?text ?sentiment
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WHERE {
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?entry a senpy:Entry .
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?entry marl:hasOpinion ?o .
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?entry nif:isString ?text .
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?o marl:hasPolarity ?sentiment .
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}""")
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assert len(qres) == 1
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entry, text, sentiment = list(qres)[0]
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assert entry
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assert str(text) == 'hello'
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assert str(sentiment) in ['marl:Positive', 'marl:Neutral', 'marl:Negative']
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def test_sentiment_turtle(self):
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"""
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A sentiment analysis call in turtle format
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"""
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params = {
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'input': 'hello',
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'in-headers': True,
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'outformat': 'turtle',
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'expanded': True,
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'prefix': 'http://default.example/#'
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}
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resp = self.client.get("/api/basic?{}".format(urlencode(params)))
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self.assertCode(resp, 200)
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g = parse_resp(resp, 'ttl')
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qres = g.query("""
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PREFIX prov: <http://www.w3.org/ns/prov#>
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PREFIX marl: <http://www.gsi.dit.upm.es/ontologies/marl/ns#>
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PREFIX nif: <http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core#>
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PREFIX onyx: <http://www.gsi.dit.upm.es/ontologies/onyx/ns#>
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PREFIX senpy: <http://www.gsi.upm.es/onto/senpy/ns#>
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SELECT DISTINCT ?entry ?text ?sentiment
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WHERE {
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?entry a senpy:Entry .
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?entry marl:hasOpinion ?o .
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?entry nif:isString ?text .
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?o marl:hasPolarity ?sentiment .
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}""")
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assert len(qres) == 1
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entry, text, sentiment = list(qres)[0]
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assert entry
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assert str(text) == 'hello'
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assert str(sentiment) in ['marl:Positive', 'marl:Neutral', 'marl:Negative']
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