def test_aggregations(self):
f = DynamicDocument.fields
sq = SearchQuery().aggregations(min_price=agg.Min(f.price))
self.assert_expression(
sq,
{
"aggregations": {
"min_price": {
"min": {"field": "price"}
}
}
}
)
self.assertEqual(collect_doc_classes(sq), {DynamicDocument})
sq = SearchQuery().aggregations(genders=agg.Terms(f.gender))
self.assert_expression(
sq,
{
"aggregations": {
"genders": {
"terms": {"field": "gender"}
}
}
}
)
self.assertEqual(collect_doc_classes(sq), {DynamicDocument})
sq = (
SearchQuery()
.aggregations(
type=agg.Terms(f.type, aggs={'min_price': agg.Min(f.price)})
)
)
self.assert_expression(
sq,
{
"aggregations": {
"type": {
"terms": {"field": "type"},
"aggregations": {
"min_price": {
"min": {"field": "price"}
}
}
}
}
},
)
self.assertEqual(collect_doc_classes(sq), {DynamicDocument})
sq = (
SearchQuery()
.aggregations(
top_tags=(
agg.Terms(
f.tags,
size=3,
aggs={
'top_tag_hits': agg.TopHits(
sort=f.last_activity_date.desc(),
size=1,
_source=Params(include=[f.title]))
}
)
)
)
)
self.assert_expression(
sq,
{
"aggregations": {
"top_tags": {
"terms": {
"field": "tags",
"size": 3
},
"aggregations": {
"top_tag_hits": {
"top_hits": {
"sort": {
"last_activity_date": "desc"
},
"_source": {
"include": ["title"]
},
"size" : 1
}
}
}
}
}
}
)
self.assertEqual(collect_doc_classes(sq), {DynamicDocument})
sq = (
SearchQuery()
.aggregations({
'top_sites': agg.Terms(
f.domain,
order=Sort('top_hit', 'desc'),
aggs={
'top_tags_hits': agg.TopHits(),
'top_hit': agg.Max(script='_doc.score'),
}
)
})
)
self.assert_expression(
sq,
{
"aggregations": {
"top_sites": {
"terms": {
"field": "domain",
"order": {
"top_hit": "desc"
}
},
"aggregations": {
"top_tags_hits": {
"top_hits": {}
},
"top_hit" : {
"max": {
"script": "_doc.score"
}
}
}
}
}
}
)
self.assertEqual(collect_doc_classes(sq), {DynamicDocument})
def test_expression(self):
f = DynamicDocument.fields
e = Params({'foo': 'bar'})
self.assert_expression(
e,
{"foo": "bar"}
)
self.assertEqual(e['foo'], 'bar')
self.assertTrue('foo' in e)
self.assert_expression(
Match(f.message, 'this is a test'),
{
"match": {
"message": "this is a test",
}
}
)
self.assert_expression(
Match(
f.message, 'this is a test',
minimum_should_match='100%',
cutoff_frequency=0.001,
boost=2.1
),
{
"match": {
"message": {
"query": "this is a test",
"minimum_should_match": "100%",
"cutoff_frequency": 0.001,
"boost": 2.1,
}
}
}
)
self.assert_expression(
Term(f.user, 'kimchy'),
{
"term": {"user": "******"}
}
)
self.assert_expression(
Term(f.user, 'kimchy', boost=1.2),
{
"term": {"user": {"value": "kimchy", "boost": 1.2}}
}
)
self.assert_expression(
Term('user.login', 'kimchy'),
{
"term": {"user.login": "******"}
}
)
self.assert_expression(
Terms(f.status, [0]),
{
"terms": {
"status": [0]
}
}
)
self.assert_expression(
Terms(f.tags, ['blue', 'pill'], minimum_should_match=1),
{
"terms": {
"tags": ["blue", "pill"],
"minimum_should_match": 1
}
}
)
self.assert_expression(
Exists(f.tags),
{
"exists": {"field": "tags"}
}
)
self.assert_expression(
Missing(f.tags, _cache=True),
{
"missing": {
"field": "tags",
"_cache": True
}
}
)
self.assert_expression(
Bool(
must=Term(f.user, 'kimchy'),
filter=Term(f.tag, 'tech'),
must_not=Range(f.age, from_=10, to=20),
should=[Term(f.tag, 'wow'), Term(f.tag, 'elasticsearch', boost=2.1)],
minimum_should_match=1,
boost=1.0,
),
{
"bool": {
"must": {
"term": {"user": "******"}
},
"filter": {
"term": {"tag": "tech"}
},
"must_not": {
"range": {
"age": {"from": 10, "to": 20}
}
},
"should": [
{
"term": {"tag": "wow"}
},
{
"term": {"tag": {"value": "elasticsearch", "boost": 2.1}}
}
],
"minimum_should_match": 1,
"boost": 1.0
}
}
)
e = MultiMatch(
"Will Smith",
[self.index.star.title.boost(4), self.index.star.wildcard('*_name').boost(2)],
minimum_should_match='100%'
)
self.assert_expression(
e,
{
"multi_match": {
"query": "Will Smith",
"fields": ["title^4", "*_name^2"],
"minimum_should_match": "100%"
}
}
)
self.assertEqual(
e._collect_doc_classes(),
{self.index.star}
)
self.assert_expression(
Range(self.index.product.price, lte=100, boost=2.2, execution='index', _cache=False),
{
"range": {
"price": {"lte": 100, "boost": 2.2},
"execution": "index",
"_cache": False
}
}
)
self.assert_expression(
Boosting(
positive=Term(f.field1, 'value1'),
negative=Term(f.field2, 'value2'),
negative_boost=0.2
),
{
"boosting": {
"positive": {
"term": {
"field1": "value1"
}
},
"negative": {
"term": {
"field2": "value2"
}
},
"negative_boost": 0.2
}
}
)
self.assert_expression(
Common(
f.body, 'nelly the elephant not as a cartoon',
cutoff_frequency=0.001,
minimum_should_match=dict(low_freq=2, high_freq=3),
),
{
"common": {
"body": {
"query": "nelly the elephant not as a cartoon",
"cutoff_frequency": 0.001,
"minimum_should_match": {
"low_freq": 2,
"high_freq": 3
}
}
}
}
)
self.assert_expression(
ConstantScore(filter=Term(f.user, 'kimchy'), boost=1.2),
{
"constant_score": {
"filter": {
"term": { "user": "******"}
},
"boost": 1.2
}
}
)
self.assert_expression(
FunctionScore(
query=MatchAll(),
field_value_factor={
'field': f.popularity,
'factor': 1.2,
'modifier': 'sqrt',
}
),
{
"function_score": {
"query": {"match_all": {}},
"field_value_factor": {
"field": "popularity",
"factor": 1.2,
"modifier": "sqrt"
}
}
}
)
self.assert_expression(
DisMax([Term(f.age, 34), Term(f.age, 35)], boost=1.2, tie_breaker=0.7),
{
"dis_max": {
"tie_breaker": 0.7,
"boost": 1.2,
"queries": [
{
"term" : { "age" : 34 }
},
{
"term" : { "age" : 35 }
}
]
}
}
)
self.assert_expression(
Filtered(
filter=Range(f.created, gte='now - 1d / d'),
query=Match(f.tweet, 'full text search')
),
{
"filtered": {
"query": {
"match": { "tweet": "full text search" }
},
"filter": {
"range": { "created": { "gte": "now - 1d / d" }}
}
}
}
)
self.assert_expression(
Ids(['123456']),
{
"ids": {
"values": ["123456"]
}
}
)
self.assert_expression(
Ids(['1', '4', '100'], type="my_type"),
{
"ids": {
"type": "my_type",
"values": ["1", "4", "100"]
}
}
)
self.assert_expression(
Prefix(f.user, 'ki', boost=2.0),
{
"prefix": { "user": { "value": "ki", "boost": 2.0 } }
}
)
self.assert_expression(
MatchAll(),
{"match_all": {}}
)
self.assert_expression(
MatchAll(boost=1.2),
{
"match_all": { "boost" : 1.2 }
}
)
self.assert_expression(
Query(Match(f.title, 'this that thus')),
{
"query": {
"match": {
"title": "this that thus"
}
}
}
)
self.assert_expression(
Query(Match(f.title, 'this that thus'), _cache=True),
{
"fquery": {
"query": {
"match": {
"title": "this that thus"
}
},
"_cache": True
}
}
)
self.assertRaises(NotImplementedError, BooleanExpression)
self.assert_expression(
And(
Range(f.post_date, from_='2010-03-01', to='2010-04-01'),
Prefix(f.name.second, 'ba')
),
{
"and": [
{
"range": {
"post_date": {
"from": "2010-03-01",
"to": "2010-04-01"
}
}
},
{
"prefix" : { "name.second" : "ba" }
}
]
}
)
self.assert_expression(
And(
Range(f.post_date, from_='2010-03-01', to='2010-04-01'),
Prefix(f.name.second, 'ba'),
_cache=True
),
{
"and": {
"filters": [
{
"range": {
"post_date": {
"from": "2010-03-01",
"to": "2010-04-01"
}
}
},
{
"prefix" : { "name.second" : "ba" }
}
],
"_cache": True
}
}
)
self.assert_expression(
Or(Term(f.name.second, 'banon'), Term(f.name.nick, 'kimchy')),
{
"or": [
{
"term": {"name.second": "banon"}
},
{
"term": {"name.nick": "kimchy"}
}
]
}
)
self.assert_expression(
And(Or(Term(f.name.nick, 'kimchy'))),
{
"term": {"name.nick": "kimchy"}
}
)
self.assert_expression(
Not(
Range(f.post_date, from_='2010-03-01', to='2010-04-01'),
),
{
"not": {
"range": {
"post_date": {
"from": "2010-03-01",
"to": "2010-04-01"
}
}
}
}
)
self.assert_expression(
Not(
Range(f.post_date, from_='2010-03-01', to='2010-04-01'),
_cache=True,
),
{
"not": {
"filter": {
"range": {
"post_date": {
"from": "2010-03-01",
"to": "2010-04-01"
}
}
},
"_cache": True
}
}
)
self.assert_expression(
Sort(f.post_date),
"post_date"
)
self.assert_expression(
Sort(f.age, 'desc'),
{
"age": "desc"
}
)
self.assert_expression(
Sort(f.price, 'asc', mode='avg'),
{
"price": {
"order": "asc",
"mode": "avg"
}
}
)
self.assert_expression(
Sort(
f.offer.price.sort, 'asc', mode='avg',
nested_filter=Term(f.offer.color, 'blue')
),
{
"offer.price.sort": {
"order": "asc",
"mode": "avg",
"nested_filter": {
"term": {"offer.color": "blue"}
}
}
}
)
self.assert_expression(
SpanFirst(SpanTerm(f.user, 'kimchy'), end=3),
{
"span_first": {
"match": {
"span_term": {"user": "******"}
},
"end": 3
}
}
)
self.assert_expression(
SpanMulti(Prefix(f.user, 'ki', boost=1.08)),
{
"span_multi": {
"match": {
"prefix": {
"user": {"value": "ki", "boost": 1.08}
}
}
}
}
)
self.assert_expression(
SpanNear(
[SpanTerm(f.field, 'value1'),
SpanTerm(f.field, 'value2'),
SpanTerm(f.field, 'value3')],
slop=12,
in_order=False,
collect_payloads=False,
),
{
"span_near": {
"clauses": [
{"span_term": {"field": "value1"}},
{"span_term": {"field": "value2"}},
{"span_term": {"field": "value3"}}
],
"slop": 12,
"in_order": False,
"collect_payloads": False
}
}
)
self.assert_expression(
SpanNot(
SpanTerm(f.field1, 'hoya'),
SpanNear([SpanTerm(f.field1, 'la'), SpanTerm(f.field1, 'hoya')], slop=0, in_order=True),
),
{
"span_not": {
"include": {
"span_term": {"field1": "hoya"}
},
"exclude": {
"span_near": {
"clauses": [
{"span_term": {"field1": "la"}},
{"span_term": {"field1": "hoya"}}
],
"slop": 0,
"in_order": True
}
}
}
}
)
self.assert_expression(
SpanOr(
[
SpanTerm(f.field, 'value1'),
SpanTerm(f.field, 'value2'),
SpanTerm(f.field, 'value3')
],
boost=2,
),
{
"span_or": {
"clauses": [
{"span_term": {"field": "value1"}},
{"span_term": {"field": "value2"}},
{"span_term": {"field": "value3"}}
],
"boost": 2
}
}
)
self.assert_expression(
Limit(1000),
{
"limit": {
"value": 1000
}
}
)
e = Nested(
self.index.movie.stars,
Match(self.index.movie.stars.full_name, 'Will Smith'),
score_mode='max',
)
self.assert_expression(
e,
{
"nested": {
"path": "stars",
"query": {
"match": {
"stars.full_name": "Will Smith"
}
},
"score_mode": "max"
}
}
)
self.assertEqual(
e._collect_doc_classes(),
{self.index.movie}
)
e = HasParent(
self.index.blog.tag == 'something',
parent_type=self.index.blog,
score_mode='score',
)
self.assert_expression(
e,
{
"has_parent": {
"parent_type": "blog",
"query": {
"term": {
"tag": "something"
}
},
"score_mode": "score"
}
}
)
self.assertEqual(
e._collect_doc_classes(),
set()
)
e = HasParent(
self.index.blog.tag == 'something',
score_mode='score',
)
self.assert_expression(
e,
{
"has_parent": {
"parent_type": "blog",
"query": {
"term": {
"tag": "something"
}
},
"score_mode": "score"
}
}
)
self.assertEqual(
e._collect_doc_classes(),
set()
)
e = HasChild(
self.index.blog_tag.tag == 'something',
type=self.index.blog_tag,
score_mode='sum',
)
self.assert_expression(
e,
{
"has_child": {
"type": "blog_tag",
"query": {
"term": {
"tag": "something"
}
},
"score_mode": "sum"
}
}
)
self.assertEqual(
e._collect_doc_classes(),
set()
)
e = HasChild(
self.index.blog_tag.tag == 'something',
score_mode='sum',
)
self.assert_expression(
e,
{
"has_child": {
"type": "blog_tag",
"query": {
"term": {
"tag": "something"
}
},
"score_mode": "sum"
}
}
)
self.assertEqual(
e._collect_doc_classes(),
set()
)