本文整理汇总了Python中pyeqs.QuerySet.count方法的典型用法代码示例。如果您正苦于以下问题：Python QuerySet.count方法的具体用法？Python QuerySet.count怎么用？Python QuerySet.count使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pyeqs.QuerySet的用法示例。
在下文中一共展示了QuerySet.count方法的7个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_queryset_iteration_with_no_results
# 需要导入模块: from pyeqs import QuerySet [as 别名]
# 或者: from pyeqs.QuerySet import count [as 别名]
def test_queryset_iteration_with_no_results():
"""
Fetch results with QuerySet via __iter__ with no results
"""
# When I create a query block
t = QuerySet("foobar", index="bar")
wrapper = lambda y: list(map(lambda x: x['_id'], y))
t.wrappers(wrapper)
# And I have no records
response = {
"took": 12,
"hits": {
"total": 0,
"max_score": 0,
"hits": []
}
}
httpretty.register_uri(httpretty.GET, "http://foobar:9200/bar/_search",
body=json.dumps(response),
content_type="application/json")
results = []
for result in t:
results.append(result)
len(results).should.equal(0)
t.count().should.equal(0)示例2: test_search_with_iterator
# 需要导入模块: from pyeqs import QuerySet [as 别名]
# 或者: from pyeqs.QuerySet import count [as 别名]
def test_search_with_iterator(context):
"""
Search using an iterator
"""
# When create a queryset
t = QuerySet("localhost", index="foo")
# And set iterator fetching to a small size
t._per_request = 2
# And there are records
add_document("foo", {"bar": 0})
add_document("foo", {"bar": 1})
add_document("foo", {"bar": 2})
add_document("foo", {"bar": 3})
add_document("foo", {"bar": 4})
# And I do a filter on my new object
# And a different filter on my old object
t.order_by(Sort("bar", order="asc"))
# Then I get the expected results
for (counter, result) in enumerate(t):
result['_source'].should.equal({"bar": counter})
len(t).should.equal(5)
t.count().should.equal(5)示例3: test_queryset_count
# 需要导入模块: from pyeqs import QuerySet [as 别名]
# 或者: from pyeqs.QuerySet import count [as 别名]
def test_queryset_count():
"""
Get QuerySet Count
"""
# When I create a query block
t = QuerySet("foobar")
# Then I get an appropriate Count
t.count().should.equal(None)示例4: test_queryset_getitem_with_post_query_action
# 需要导入模块: from pyeqs import QuerySet [as 别名]
# 或者: from pyeqs.QuerySet import count [as 别名]
def test_queryset_getitem_with_post_query_action():
"""
Fetch from QuerySet with __getitem__ and post query action
"""
# When I create a query block
t = QuerySet("localhost", index="bar")
# And I have a post query action
global my_global_var
my_global_var = 1
def action(self, results, start, stop):
global my_global_var
my_global_var += 1
t.post_query_actions(action)
# And I have records
response = {
"took": 12,
"timed_out": False,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 10,
"hits": [
{
"_index": "bar",
"_type": "baz",
"_id": "1",
"_score": 10,
"_source": {
"foo": "bar"
},
"sort": [
1395687078000
]
}
]
}
}
httpretty.register_uri(httpretty.GET, "http://localhost:9200/bar/_search",
body=json.dumps(response),
content_type="application/json")
results = t[0:1]
len(results).should.equal(1)
t.count().should.equal(1)
# Then I see the correct results
results[0]['_id'].should.equal('1')
my_global_var.should.equal(2)示例5: test_queryset_iteration
# 需要导入模块: from pyeqs import QuerySet [as 别名]
# 或者: from pyeqs.QuerySet import count [as 别名]
def test_queryset_iteration():
"""
Fetch results with QuerySet via __iter__
"""
# When I create a query block
t = QuerySet("foobar", index="bar")
wrapper = lambda y: list(map(lambda x: x['_id'], y))
t.wrappers(wrapper)
# And I have a record
response = {
"took": 12,
"hits": {
"total": 1,
"max_score": 10,
"hits": [
{
"_index": "bar",
"_type": "baz",
"_id": "1",
"_score": 10,
"_source": {
"foo": "bar"
},
"sort": [
1395687078000
]
}
]
}
}
httpretty.register_uri(httpretty.GET, "http://foobar:9200/bar/_search",
body=json.dumps(response),
content_type="application/json")
results = []
for result in t:
results.append(result)
len(results).should.equal(1)
len(t).should.equal(1)
t.count().should.equal(1)示例6: test_queryset_getitem_multiple
# 需要导入模块: from pyeqs import QuerySet [as 别名]
# 或者: from pyeqs.QuerySet import count [as 别名]
def test_queryset_getitem_multiple():
"""
Fetch from QuerySet with __getitem__ multiple times
"""
# When I create a query block
t = QuerySet("localhost", index="bar")
wrapper = lambda y: list(map(lambda x: x['_id'], y))
t.wrappers(wrapper)
# And I have a record
response = {
"took": 12,
"hits": {
"total": 1,
"max_score": 10,
"hits": [
{
"_index": "bar",
"_type": "baz",
"_id": "1",
"_score": 10,
"_source": {
"foo": "bar"
},
"sort": [
1395687078000
]
}
]
}
}
httpretty.register_uri(httpretty.GET, "http://localhost:9200/bar/_search",
body=json.dumps(response),
content_type="application/json")
results = t[0:1]
len(results).should.equal(1)
t.count().should.equal(1)
results = t[0:1]
len(results).should.equal(1)
t.count().should.equal(1)示例7: test_queryset_iteration_with_multiple_cache_fetches
# 需要导入模块: from pyeqs import QuerySet [as 别名]
# 或者: from pyeqs.QuerySet import count [as 别名]
def test_queryset_iteration_with_multiple_cache_fetches():
"""
Fetch results with QuerySet via __iter__ with multiple cache fetches
"""
# When I create a query block
t = QuerySet("foobar", index="bar")
wrapper = lambda y: list(map(lambda x: x['_id'], y))
t.wrappers(wrapper)
# And we lower the per request to force multiple fetches
t._per_request = 2
# And I have records
first_response = {
"took": 12,
"hits": {
"total": 3,
"max_score": 10,
"hits": [
{
"_index": "bar",
"_type": "baz",
"_id": "1",
"_score": 10,
"_source": {
"foo": "bar"
},
"sort": [
1395687078000
]
},
{
"_index": "bar",
"_type": "baz",
"_id": "2",
"_score": 10,
"_source": {
"foo": "barbar"
},
"sort": [
1395687078000
]
}
]
}
}
second_response = {
"took": 12,
"hits": {
"total": 3,
"max_score": 10,
"hits": [
{
"_index": "bar",
"_type": "baz",
"_id": "3",
"_score": 10,
"_source": {
"foo": "barbarbar"
},
"sort": [
1395687078000
]
}
]
}
}
httpretty.register_uri(httpretty.GET, "http://foobar:9200/bar/_search",
responses=[
httpretty.Response(body=json.dumps(first_response), content_type="application/json"),
httpretty.Response(body=json.dumps(second_response), content_type="application/json"),
])
# Then I should eventually get all records
results = []
for result in t:
results.append(result)
len(results).should.equal(3)
t.count().should.equal(3)
results[0].should.equal("1")
results[1].should.equal("2")
results[2].should.equal("3")