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from pyelasticsearch import ElasticSearch, ElasticHttpNotFoundError | |
from pyparsing import * | |
import unittest | |
ELASTICSEARCH_INDEX = 'myindex' | |
ELASTICSEARCH_URL = 'http://localhost:9200/' | |
es = ElasticSearch(ELASTICSEARCH_URL) | |
class Node(list): | |
def __eq__(self, other): | |
return list.__eq__(self, other) and self.__class__ == other.__class__ | |
def __repr__(self): | |
return '%s(%s)' % (self.__class__.__name__, list.__repr__(self)) | |
@classmethod | |
def group(cls, expr): | |
def group_action(s, l, t): | |
try: | |
lst = t[0].asList() | |
except (IndexError, AttributeError), e: | |
lst = t | |
return [cls(lst)] | |
return Group(expr).setParseAction(group_action) | |
def get_query(self): | |
raise NotImplementedError() | |
class TextNode(Node): | |
def get_query(self, field='_all'): | |
return { | |
'match_phrase_prefix': { | |
field: { | |
'query': self[0], | |
'max_expansions': 10 | |
} | |
} | |
} | |
class ExactNode(Node): | |
def get_query(self, field='_all'): | |
return { | |
'match_phrase': { | |
field: self[0] | |
} | |
} | |
class ComparisonNode(Node): | |
def get_query(self): | |
field = self[0] | |
op = self[1] | |
node = self[2] | |
if op == ':': | |
return node.get_query(field) | |
else: | |
raise NotImplementedError('Only ":" comparisons are implemented.') | |
unicode_printables = u''.join(unichr(c) for c in xrange(65536) | |
if not unichr(c).isspace()) | |
word = TextNode.group(Word(unicode_printables)) | |
exact = ExactNode.group(QuotedString('"', unquoteResults=True, escChar='\\')) | |
term = exact | word | |
comparison_name = Word(unicode_printables, excludeChars=':') | |
comparison = ComparisonNode.group(comparison_name + Literal(':') + term) | |
content = OneOrMore(comparison | term) | |
def get_query(search_query): | |
nodes = content.parseString(search_query, parseAll=True).asList() | |
return { | |
'bool': { | |
'must': [node.get_query() for node in nodes] | |
} | |
} | |
def perform_search(search_query): | |
full_query = { | |
'query': get_query(search_query), | |
} | |
results = es.search(full_query, index=ELASTICSEARCH_INDEX, doc_type='lead') | |
return results['hits']['hits'] | |
class ParserTestCase(unittest.TestCase): | |
""" Tests the internals of the parser. """ | |
def assertMatch(self, parser, input): | |
parser.parseString(input, parseAll=True) | |
def assertNoMatch(self, parser, input): | |
try: | |
parser.parseString(input, parseAll=True) | |
except ParseException: | |
pass | |
else: | |
raise ValueError('match should fail', input) | |
def test_word(self): | |
self.assertMatch(word, 'john') | |
self.assertNoMatch(word, 'john taylor') | |
def test_exact(self): | |
self.assertMatch(exact, '"john taylor"') | |
self.assertMatch(exact, r'"John said \"Hello world\""') | |
self.assertNoMatch(exact, 'john') | |
def test_term(self): | |
self.assertMatch(term, 'john') | |
self.assertMatch(term, '"john taylor"') | |
self.assertNoMatch(term, 'john taylor') | |
def test_comparison(self): | |
self.assertMatch(comparison, 'created_by: justin') | |
self.assertMatch(comparison, 'created_by : justin') | |
self.assertMatch(comparison, 'created_by :justin') | |
self.assertMatch(comparison, 'location: "san francisco"') | |
self.assertNoMatch(comparison, 'justin') | |
def test_content(self): | |
self.assertMatch(content, 'john') | |
self.assertMatch(content, '"john taylor"') | |
self.assertMatch(content, 'john taylor') | |
self.assertMatch(content, 'calls: 0 status: trial') | |
self.assertMatch(content, 'john calls: 0 status: "trial expired"') | |
self.assertMatch(content, 'spam "john taylor" bacon egg') | |
class ASTTestCase(unittest.TestCase): | |
""" Ensures the abstract syntax tree is generated properly. """ | |
def assertAstMatch(self, input, expected_ast): | |
ast = content.parseString(input, parseAll=True).asList() | |
self.assertEqual(ast, expected_ast) | |
def test_parser(self): | |
self.assertAstMatch('john "new york"', [ | |
TextNode(['john']), | |
ExactNode(['new york']), | |
]) | |
self.assertAstMatch('email_opened: yes', [ | |
ComparisonNode(['email_opened', ':', TextNode(['yes'])]), | |
]) | |
self.assertAstMatch('location: "los angeles"', [ | |
ComparisonNode(['location', ':', ExactNode(['los angeles'])]), | |
]) | |
self.assertAstMatch('phone: 415 status: "trial expired" john', [ | |
ComparisonNode(['phone', ':', TextNode(['415'])]), | |
ComparisonNode(['status', ':', ExactNode(['trial expired'])]), | |
TextNode(['john']), | |
]) | |
class QueryGenerationTestCase(unittest.TestCase): | |
def test_exact(self): | |
self.assertEquals( | |
ExactNode(['san francisco']).get_query(), | |
{ 'match_phrase': { '_all': 'san francisco' } } | |
) | |
def test_text(self): | |
self.assertEquals( | |
TextNode(['john']).get_query(), | |
{ 'match_phrase_prefix': { '_all': { 'query': 'john', 'max_expansions': 10 } } } | |
) | |
def test_comparison(self): | |
self.assertEquals( | |
ComparisonNode(['city', ':', ExactNode(['new york'])]).get_query(), | |
{ 'match_phrase': { 'city': 'new york' } } | |
) | |
self.assertEquals( | |
ComparisonNode(['city', ':', TextNode(['minneapolis'])]).get_query(), | |
{ 'match_phrase_prefix': { 'city': { 'query': 'minneapolis', 'max_expansions': 10 } } } | |
) | |
def test_query(self): | |
self.assertEqual(get_query('phone: 415 status: "trial expired" john "new york"'), | |
{'bool': {'must': [ | |
{'match_phrase_prefix': {'phone': {'query': '415', 'max_expansions': 10}}}, | |
{'match_phrase': {'status': 'trial expired'}}, | |
{'match_phrase_prefix': {'_all': {'query': 'john', 'max_expansions': 10}}}, | |
{'match_phrase': {'_all': 'new york'}} | |
]}} | |
) | |
class SearchTestCase(unittest.TestCase): | |
def setUp(self): | |
try: | |
es.delete_index(ELASTICSEARCH_INDEX) | |
except ElasticHttpNotFoundError: | |
pass | |
self.leads = [{ | |
"id": 1, | |
"company": "Facebook Inc.", | |
"contact": "Mark Zuckerberg", | |
"city": "Menlo Park", | |
"description": "an online networking site" | |
}, { | |
"id": 2, | |
"company": "Microsoft", | |
"contact": "Steve Ballmer", | |
"city": "Redmond", | |
"description": "software and online services" | |
}] | |
for lead in self.leads: | |
es.index('myindex', 'lead', lead, lead['id']) | |
# Wait for the search index to be generated. | |
while es.status(ELASTICSEARCH_INDEX)['indices'][ELASTICSEARCH_INDEX]['docs']['num_docs'] < len(self.leads): | |
import time | |
time.sleep(1) | |
def assertSearchMatch(self, query, matches): | |
results = perform_search(query) | |
self.assertEqual(set([int(r['_id']) for r in results]), set(matches)) | |
def test_search(self): | |
self.assertSearchMatch('onl', [1, 2]) | |
self.assertSearchMatch('online', [1, 2]) | |
self.assertSearchMatch('online networking', [1]) | |
self.assertSearchMatch('company: microsoft', [2]) | |
self.assertSearchMatch('contact: microsoft', []) | |
self.assertSearchMatch('"menlo park"', [1]) | |
self.assertSearchMatch('"park menlo"', []) | |
if __name__ == '__main__': | |
unittest.main() |
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