Esempio n. 1
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 def _create_query_2_excluded_terms():
     """
     Helper method that returns a ReservoirQuery with two excluded terms.
     """
     term1 = SearchTerm(term='cops', negate=True)
     term2 = SearchTerm(term='robbers', negate=True)
     terms = [term1, term2]
     return ReservoirQuery(searchterms=terms)
Esempio n. 2
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 def test_for_duplicate_term(self):
     """
     Tests the add_searchterm method for a duplicate term.
     """
     terms = [SearchTerm(term='police'), SearchTerm(term='car')]
     query = ReservoirQuery(searchterms=terms)
     query.add_searchterm(SearchTerm(term='police'))
     self.assertEqual(len(query.searchterms), 2)
Esempio n. 3
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 def test_format_searchterms_param(self):
     """
     Tests the _format_searchterms_param method.
     """
     searchterms = [SearchTerm(term='photos'), SearchTerm(term='social media')]
     actual = self.stream_handler._format_searchterms_param(searchterms)
     expected = ['photos', '"social media"']
     self.assertEqual(actual, expected)
Esempio n. 4
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 def test_dup_terms(self):
     """
     Tests the _handle_phrases method for terms with duplicate words.
     """
     terms = [SearchTerm(term='police'), SearchTerm(term='police officer')]
     query = ReservoirQuery(searchterms=terms)
     specs = PipeSpecSheet(accepts_phrases=False)
     engineer = Engineer(query=query, specs=specs)
     engineer._handle_phrases()
     searchterms = engineer.get_searchterms()
     self.assertEqual(len(searchterms), 3)
Esempio n. 5
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    def test_for_mixed_terms(self):
        """
        Tests the transform_phrases method for a mix of phrases and non-phrases.
        """
        terms = [SearchTerm(term='robbery'), SearchTerm(term='police car')]
        query = ReservoirQuery(searchterms=terms)
        query.wrap_phrases_in_quotes()

        self.assertEqual(len(query.searchterms), 2)
        self.assertEqual(query.searchterms[0].term, 'robbery')
        self.assertEqual(query.searchterms[1].term, '"police car"')
Esempio n. 6
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 def test_for_negation_not_allowed(self):
     """
     Tests the _handle_negation method for an API that doesn't allow
     negation of search terms.
     """
     terms = [SearchTerm(term='police'), SearchTerm(term='car', negate=True)]
     query = ReservoirQuery(searchterms=terms)
     engineer = Engineer(query=query, specs=PipeSpecSheet())
     engineer._handle_negation()
     searchterms = engineer.get_searchterms()
     self.assertEqual(len(searchterms), 1)
Esempio n. 7
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    def _create_test_query(self):
        """
        Helper method that returns an example ReservoirQuery.
        """
        accounts = [Account(username='******')]
        locations = [
            Location(geom=Point(-76.6653729, 39.4904058), buffer_m=1000)
        ]
        searchterms = [SearchTerm(term='photos'), SearchTerm(term='media')]
        timeframe = self._create_example_timeframe()

        return ReservoirQuery(accounts=accounts,
                              locations=locations,
                              searchterms=searchterms,
                              timeframe=timeframe)
Esempio n. 8
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 def test_for_accepts_phrases(self):
     """
     Tests the _handle_phrases method for an API that accepts phrases.
     """
     terms = [SearchTerm(term='police officer')]
     query = ReservoirQuery(searchterms=terms)
     specs = PipeSpecSheet(accepts_phrases=True)
     engineer = Engineer(query=query, specs=specs)
     engineer._handle_phrases()
     searchterms = engineer.get_searchterms()
     self.assertEqual(len(searchterms), 1)
     self.assertEqual(searchterms[0].term, 'police officer')
Esempio n. 9
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    def _create_terms_by_type(self, keywords, negate=False):
        """
        Takes a string of comma-separated or space-separated keywords/phrases
        and a Boolean indicating whether they should be negated in a text
        search. Returns a list of SearchTerm objects.
        """
        keyword_array = self._parse_keywords(keywords)

        searchterms = []
        for keyword in keyword_array:
            cleaned_keyword = keyword.strip()
            cleaned_keyword = cleaned_keyword.replace('"', '')
            if cleaned_keyword != '':
                term = SearchTerm(term=cleaned_keyword, negate=negate)
                searchterms.append(term)

        return searchterms