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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Request._clone
|
(self)
|
return s
| 292 | 299 |
def _clone(self):
s = self.__class__(
using=self._using, index=self._index, doc_type=self._doc_type
)
s._doc_type_map = self._doc_type_map.copy()
s._extra = self._extra.copy()
s._params = self._params.copy()
return s
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L292-L299
| 37 |
[
0,
1,
4,
5,
6,
7
] | 75 |
[] | 0 | false | 82.288828 | 8 | 1 | 100 | 0 |
def _clone(self):
s = self.__class__(
using=self._using, index=self._index, doc_type=self._doc_type
)
s._doc_type_map = self._doc_type_map.copy()
s._extra = self._extra.copy()
s._params = self._params.copy()
return s
| 22,916 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.__init__
|
(self, **kwargs)
|
Search request to elasticsearch.
:arg using: `Elasticsearch` instance to use
:arg index: limit the search to index
:arg doc_type: only query this type.
All the parameters supplied (or omitted) at creation type can be later
overridden by methods (`using`, `index` and `doc_type` respectively).
|
Search request to elasticsearch.
| 306 | 329 |
def __init__(self, **kwargs):
"""
Search request to elasticsearch.
:arg using: `Elasticsearch` instance to use
:arg index: limit the search to index
:arg doc_type: only query this type.
All the parameters supplied (or omitted) at creation type can be later
overridden by methods (`using`, `index` and `doc_type` respectively).
"""
super().__init__(**kwargs)
self.aggs = AggsProxy(self)
self._sort = []
self._source = None
self._highlight = {}
self._highlight_opts = {}
self._suggest = {}
self._script_fields = {}
self._response_class = Response
self._query_proxy = QueryProxy(self, "query")
self._post_filter_proxy = QueryProxy(self, "post_filter")
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L306-L329
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23
] | 100 |
[] | 0 | true | 82.288828 | 24 | 1 | 100 | 8 |
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.aggs = AggsProxy(self)
self._sort = []
self._source = None
self._highlight = {}
self._highlight_opts = {}
self._suggest = {}
self._script_fields = {}
self._response_class = Response
self._query_proxy = QueryProxy(self, "query")
self._post_filter_proxy = QueryProxy(self, "post_filter")
| 22,917 |
|
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.filter
|
(self, *args, **kwargs)
|
return self.query(Bool(filter=[Q(*args, **kwargs)]))
| 331 | 332 |
def filter(self, *args, **kwargs):
return self.query(Bool(filter=[Q(*args, **kwargs)]))
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L331-L332
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 82.288828 | 2 | 1 | 100 | 0 |
def filter(self, *args, **kwargs):
return self.query(Bool(filter=[Q(*args, **kwargs)]))
| 22,918 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.exclude
|
(self, *args, **kwargs)
|
return self.query(Bool(filter=[~Q(*args, **kwargs)]))
| 334 | 335 |
def exclude(self, *args, **kwargs):
return self.query(Bool(filter=[~Q(*args, **kwargs)]))
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L334-L335
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 82.288828 | 2 | 1 | 100 | 0 |
def exclude(self, *args, **kwargs):
return self.query(Bool(filter=[~Q(*args, **kwargs)]))
| 22,919 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.__iter__
|
(self)
|
return iter(self.execute())
|
Iterate over the hits.
|
Iterate over the hits.
| 337 | 341 |
def __iter__(self):
"""
Iterate over the hits.
"""
return iter(self.execute())
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L337-L341
| 37 |
[
0,
1,
2,
3,
4
] | 100 |
[] | 0 | true | 82.288828 | 5 | 1 | 100 | 1 |
def __iter__(self):
return iter(self.execute())
| 22,920 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.__getitem__
|
(self, n)
|
Support slicing the `Search` instance for pagination.
Slicing equates to the from/size parameters. E.g.::
s = Search().query(...)[0:25]
is equivalent to::
s = Search().query(...).extra(from_=0, size=25)
|
Support slicing the `Search` instance for pagination.
| 343 | 375 |
def __getitem__(self, n):
"""
Support slicing the `Search` instance for pagination.
Slicing equates to the from/size parameters. E.g.::
s = Search().query(...)[0:25]
is equivalent to::
s = Search().query(...).extra(from_=0, size=25)
"""
s = self._clone()
if isinstance(n, slice):
# If negative slicing, abort.
if n.start and n.start < 0 or n.stop and n.stop < 0:
raise ValueError("Search does not support negative slicing.")
# Elasticsearch won't get all results so we default to size: 10 if
# stop not given.
s._extra["from"] = n.start or 0
s._extra["size"] = max(
0, n.stop - (n.start or 0) if n.stop is not None else 10
)
return s
else: # This is an index lookup, equivalent to slicing by [n:n+1].
# If negative index, abort.
if n < 0:
raise ValueError("Search does not support negative indexing.")
s._extra["from"] = n
s._extra["size"] = 1
return s
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L343-L375
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
20,
21,
22,
23,
24,
25,
26,
27,
28,
30,
31,
32
] | 90.909091 |
[
18,
29
] | 6.060606 | false | 82.288828 | 33 | 9 | 93.939394 | 9 |
def __getitem__(self, n):
s = self._clone()
if isinstance(n, slice):
# If negative slicing, abort.
if n.start and n.start < 0 or n.stop and n.stop < 0:
raise ValueError("Search does not support negative slicing.")
# Elasticsearch won't get all results so we default to size: 10 if
# stop not given.
s._extra["from"] = n.start or 0
s._extra["size"] = max(
0, n.stop - (n.start or 0) if n.stop is not None else 10
)
return s
else: # This is an index lookup, equivalent to slicing by [n:n+1].
# If negative index, abort.
if n < 0:
raise ValueError("Search does not support negative indexing.")
s._extra["from"] = n
s._extra["size"] = 1
return s
| 22,921 |
|
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.from_dict
|
(cls, d)
|
return s
|
Construct a new `Search` instance from a raw dict containing the search
body. Useful when migrating from raw dictionaries.
Example::
s = Search.from_dict({
"query": {
"bool": {
"must": [...]
}
},
"aggs": {...}
})
s = s.filter('term', published=True)
|
Construct a new `Search` instance from a raw dict containing the search
body. Useful when migrating from raw dictionaries.
| 378 | 397 |
def from_dict(cls, d):
"""
Construct a new `Search` instance from a raw dict containing the search
body. Useful when migrating from raw dictionaries.
Example::
s = Search.from_dict({
"query": {
"bool": {
"must": [...]
}
},
"aggs": {...}
})
s = s.filter('term', published=True)
"""
s = cls()
s.update_from_dict(d)
return s
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L378-L397
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19
] | 100 |
[] | 0 | true | 82.288828 | 20 | 1 | 100 | 14 |
def from_dict(cls, d):
s = cls()
s.update_from_dict(d)
return s
| 22,922 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search._clone
|
(self)
|
return s
|
Return a clone of the current search request. Performs a shallow copy
of all the underlying objects. Used internally by most state modifying
APIs.
|
Return a clone of the current search request. Performs a shallow copy
of all the underlying objects. Used internally by most state modifying
APIs.
| 399 | 420 |
def _clone(self):
"""
Return a clone of the current search request. Performs a shallow copy
of all the underlying objects. Used internally by most state modifying
APIs.
"""
s = super()._clone()
s._response_class = self._response_class
s._sort = self._sort[:]
s._source = copy.copy(self._source) if self._source is not None else None
s._highlight = self._highlight.copy()
s._highlight_opts = self._highlight_opts.copy()
s._suggest = self._suggest.copy()
s._script_fields = self._script_fields.copy()
for x in ("query", "post_filter"):
getattr(s, x)._proxied = getattr(self, x)._proxied
# copy top-level bucket definitions
if self.aggs._params.get("aggs"):
s.aggs._params = {"aggs": self.aggs._params["aggs"].copy()}
return s
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L399-L420
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21
] | 100 |
[] | 0 | true | 82.288828 | 22 | 3 | 100 | 3 |
def _clone(self):
s = super()._clone()
s._response_class = self._response_class
s._sort = self._sort[:]
s._source = copy.copy(self._source) if self._source is not None else None
s._highlight = self._highlight.copy()
s._highlight_opts = self._highlight_opts.copy()
s._suggest = self._suggest.copy()
s._script_fields = self._script_fields.copy()
for x in ("query", "post_filter"):
getattr(s, x)._proxied = getattr(self, x)._proxied
# copy top-level bucket definitions
if self.aggs._params.get("aggs"):
s.aggs._params = {"aggs": self.aggs._params["aggs"].copy()}
return s
| 22,923 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.response_class
|
(self, cls)
|
return s
|
Override the default wrapper used for the response.
|
Override the default wrapper used for the response.
| 422 | 428 |
def response_class(self, cls):
"""
Override the default wrapper used for the response.
"""
s = self._clone()
s._response_class = cls
return s
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L422-L428
| 37 |
[
0,
1,
2,
3,
4,
5,
6
] | 100 |
[] | 0 | true | 82.288828 | 7 | 1 | 100 | 1 |
def response_class(self, cls):
s = self._clone()
s._response_class = cls
return s
| 22,924 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.update_from_dict
|
(self, d)
|
return self
|
Apply options from a serialized body to the current instance. Modifies
the object in-place. Used mostly by ``from_dict``.
|
Apply options from a serialized body to the current instance. Modifies
the object in-place. Used mostly by ``from_dict``.
| 430 | 463 |
def update_from_dict(self, d):
"""
Apply options from a serialized body to the current instance. Modifies
the object in-place. Used mostly by ``from_dict``.
"""
d = d.copy()
if "query" in d:
self.query._proxied = Q(d.pop("query"))
if "post_filter" in d:
self.post_filter._proxied = Q(d.pop("post_filter"))
aggs = d.pop("aggs", d.pop("aggregations", {}))
if aggs:
self.aggs._params = {
"aggs": {name: A(value) for (name, value) in aggs.items()}
}
if "sort" in d:
self._sort = d.pop("sort")
if "_source" in d:
self._source = d.pop("_source")
if "highlight" in d:
high = d.pop("highlight").copy()
self._highlight = high.pop("fields")
self._highlight_opts = high
if "suggest" in d:
self._suggest = d.pop("suggest")
if "text" in self._suggest:
text = self._suggest.pop("text")
for s in self._suggest.values():
s.setdefault("text", text)
if "script_fields" in d:
self._script_fields = d.pop("script_fields")
self._extra.update(d)
return self
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L430-L463
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33
] | 100 |
[] | 0 | true | 82.288828 | 34 | 11 | 100 | 2 |
def update_from_dict(self, d):
d = d.copy()
if "query" in d:
self.query._proxied = Q(d.pop("query"))
if "post_filter" in d:
self.post_filter._proxied = Q(d.pop("post_filter"))
aggs = d.pop("aggs", d.pop("aggregations", {}))
if aggs:
self.aggs._params = {
"aggs": {name: A(value) for (name, value) in aggs.items()}
}
if "sort" in d:
self._sort = d.pop("sort")
if "_source" in d:
self._source = d.pop("_source")
if "highlight" in d:
high = d.pop("highlight").copy()
self._highlight = high.pop("fields")
self._highlight_opts = high
if "suggest" in d:
self._suggest = d.pop("suggest")
if "text" in self._suggest:
text = self._suggest.pop("text")
for s in self._suggest.values():
s.setdefault("text", text)
if "script_fields" in d:
self._script_fields = d.pop("script_fields")
self._extra.update(d)
return self
| 22,925 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.script_fields
|
(self, **kwargs)
|
return s
|
Define script fields to be calculated on hits. See
https://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-script-fields.html
for more details.
Example::
s = Search()
s = s.script_fields(times_two="doc['field'].value * 2")
s = s.script_fields(
times_three={
'script': {
'lang': 'painless',
'source': "doc['field'].value * params.n",
'params': {'n': 3}
}
}
)
|
Define script fields to be calculated on hits. See
https://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-script-fields.html
for more details.
| 465 | 491 |
def script_fields(self, **kwargs):
"""
Define script fields to be calculated on hits. See
https://www.elastic.co/guide/en/elasticsearch/reference/current/search-request-script-fields.html
for more details.
Example::
s = Search()
s = s.script_fields(times_two="doc['field'].value * 2")
s = s.script_fields(
times_three={
'script': {
'lang': 'painless',
'source': "doc['field'].value * params.n",
'params': {'n': 3}
}
}
)
"""
s = self._clone()
for name in kwargs:
if isinstance(kwargs[name], str):
kwargs[name] = {"script": kwargs[name]}
s._script_fields.update(kwargs)
return s
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L465-L491
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26
] | 100 |
[] | 0 | true | 82.288828 | 27 | 3 | 100 | 17 |
def script_fields(self, **kwargs):
s = self._clone()
for name in kwargs:
if isinstance(kwargs[name], str):
kwargs[name] = {"script": kwargs[name]}
s._script_fields.update(kwargs)
return s
| 22,926 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.source
|
(self, fields=None, **kwargs)
|
return s
|
Selectively control how the _source field is returned.
:arg fields: wildcard string, array of wildcards, or dictionary of includes and excludes
If ``fields`` is None, the entire document will be returned for
each hit. If fields is a dictionary with keys of 'includes' and/or
'excludes' the fields will be either included or excluded appropriately.
Calling this multiple times with the same named parameter will override the
previous values with the new ones.
Example::
s = Search()
s = s.source(includes=['obj1.*'], excludes=["*.description"])
s = Search()
s = s.source(includes=['obj1.*']).source(excludes=["*.description"])
|
Selectively control how the _source field is returned.
| 493 | 536 |
def source(self, fields=None, **kwargs):
"""
Selectively control how the _source field is returned.
:arg fields: wildcard string, array of wildcards, or dictionary of includes and excludes
If ``fields`` is None, the entire document will be returned for
each hit. If fields is a dictionary with keys of 'includes' and/or
'excludes' the fields will be either included or excluded appropriately.
Calling this multiple times with the same named parameter will override the
previous values with the new ones.
Example::
s = Search()
s = s.source(includes=['obj1.*'], excludes=["*.description"])
s = Search()
s = s.source(includes=['obj1.*']).source(excludes=["*.description"])
"""
s = self._clone()
if fields and kwargs:
raise ValueError("You cannot specify fields and kwargs at the same time.")
if fields is not None:
s._source = fields
return s
if kwargs and not isinstance(s._source, dict):
s._source = {}
for key, value in kwargs.items():
if value is None:
try:
del s._source[key]
except KeyError:
pass
else:
s._source[key] = value
return s
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L493-L536
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42,
43
] | 97.727273 |
[
25
] | 2.272727 | false | 82.288828 | 44 | 9 | 97.727273 | 18 |
def source(self, fields=None, **kwargs):
s = self._clone()
if fields and kwargs:
raise ValueError("You cannot specify fields and kwargs at the same time.")
if fields is not None:
s._source = fields
return s
if kwargs and not isinstance(s._source, dict):
s._source = {}
for key, value in kwargs.items():
if value is None:
try:
del s._source[key]
except KeyError:
pass
else:
s._source[key] = value
return s
| 22,927 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.sort
|
(self, *keys)
|
return s
|
Add sorting information to the search request. If called without
arguments it will remove all sort requirements. Otherwise it will
replace them. Acceptable arguments are::
'some.field'
'-some.other.field'
{'different.field': {'any': 'dict'}}
so for example::
s = Search().sort(
'category',
'-title',
{"price" : {"order" : "asc", "mode" : "avg"}}
)
will sort by ``category``, ``title`` (in descending order) and
``price`` in ascending order using the ``avg`` mode.
The API returns a copy of the Search object and can thus be chained.
|
Add sorting information to the search request. If called without
arguments it will remove all sort requirements. Otherwise it will
replace them. Acceptable arguments are::
| 538 | 569 |
def sort(self, *keys):
"""
Add sorting information to the search request. If called without
arguments it will remove all sort requirements. Otherwise it will
replace them. Acceptable arguments are::
'some.field'
'-some.other.field'
{'different.field': {'any': 'dict'}}
so for example::
s = Search().sort(
'category',
'-title',
{"price" : {"order" : "asc", "mode" : "avg"}}
)
will sort by ``category``, ``title`` (in descending order) and
``price`` in ascending order using the ``avg`` mode.
The API returns a copy of the Search object and can thus be chained.
"""
s = self._clone()
s._sort = []
for k in keys:
if isinstance(k, str) and k.startswith("-"):
if k[1:] == "_score":
raise IllegalOperation("Sorting by `-_score` is not allowed.")
k = {k[1:]: {"order": "desc"}}
s._sort.append(k)
return s
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L538-L569
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31
] | 100 |
[] | 0 | true | 82.288828 | 32 | 5 | 100 | 20 |
def sort(self, *keys):
s = self._clone()
s._sort = []
for k in keys:
if isinstance(k, str) and k.startswith("-"):
if k[1:] == "_score":
raise IllegalOperation("Sorting by `-_score` is not allowed.")
k = {k[1:]: {"order": "desc"}}
s._sort.append(k)
return s
| 22,928 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.highlight_options
|
(self, **kwargs)
|
return s
|
Update the global highlighting options used for this request. For
example::
s = Search()
s = s.highlight_options(order='score')
|
Update the global highlighting options used for this request. For
example::
| 571 | 581 |
def highlight_options(self, **kwargs):
"""
Update the global highlighting options used for this request. For
example::
s = Search()
s = s.highlight_options(order='score')
"""
s = self._clone()
s._highlight_opts.update(kwargs)
return s
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L571-L581
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10
] | 100 |
[] | 0 | true | 82.288828 | 11 | 1 | 100 | 5 |
def highlight_options(self, **kwargs):
s = self._clone()
s._highlight_opts.update(kwargs)
return s
| 22,929 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.highlight
|
(self, *fields, **kwargs)
|
return s
|
Request highlighting of some fields. All keyword arguments passed in will be
used as parameters for all the fields in the ``fields`` parameter. Example::
Search().highlight('title', 'body', fragment_size=50)
will produce the equivalent of::
{
"highlight": {
"fields": {
"body": {"fragment_size": 50},
"title": {"fragment_size": 50}
}
}
}
If you want to have different options for different fields
you can call ``highlight`` twice::
Search().highlight('title', fragment_size=50).highlight('body', fragment_size=100)
which will produce::
{
"highlight": {
"fields": {
"body": {"fragment_size": 100},
"title": {"fragment_size": 50}
}
}
}
|
Request highlighting of some fields. All keyword arguments passed in will be
used as parameters for all the fields in the ``fields`` parameter. Example::
| 583 | 621 |
def highlight(self, *fields, **kwargs):
"""
Request highlighting of some fields. All keyword arguments passed in will be
used as parameters for all the fields in the ``fields`` parameter. Example::
Search().highlight('title', 'body', fragment_size=50)
will produce the equivalent of::
{
"highlight": {
"fields": {
"body": {"fragment_size": 50},
"title": {"fragment_size": 50}
}
}
}
If you want to have different options for different fields
you can call ``highlight`` twice::
Search().highlight('title', fragment_size=50).highlight('body', fragment_size=100)
which will produce::
{
"highlight": {
"fields": {
"body": {"fragment_size": 100},
"title": {"fragment_size": 50}
}
}
}
"""
s = self._clone()
for f in fields:
s._highlight[f] = kwargs
return s
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L583-L621
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38
] | 100 |
[] | 0 | true | 82.288828 | 39 | 2 | 100 | 31 |
def highlight(self, *fields, **kwargs):
s = self._clone()
for f in fields:
s._highlight[f] = kwargs
return s
| 22,930 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.suggest
|
(self, name, text, **kwargs)
|
return s
|
Add a suggestions request to the search.
:arg name: name of the suggestion
:arg text: text to suggest on
All keyword arguments will be added to the suggestions body. For example::
s = Search()
s = s.suggest('suggestion-1', 'Elasticsearch', term={'field': 'body'})
|
Add a suggestions request to the search.
| 623 | 638 |
def suggest(self, name, text, **kwargs):
"""
Add a suggestions request to the search.
:arg name: name of the suggestion
:arg text: text to suggest on
All keyword arguments will be added to the suggestions body. For example::
s = Search()
s = s.suggest('suggestion-1', 'Elasticsearch', term={'field': 'body'})
"""
s = self._clone()
s._suggest[name] = {"text": text}
s._suggest[name].update(kwargs)
return s
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L623-L638
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15
] | 100 |
[] | 0 | true | 82.288828 | 16 | 1 | 100 | 9 |
def suggest(self, name, text, **kwargs):
s = self._clone()
s._suggest[name] = {"text": text}
s._suggest[name].update(kwargs)
return s
| 22,931 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.to_dict
|
(self, count=False, **kwargs)
|
return d
|
Serialize the search into the dictionary that will be sent over as the
request's body.
:arg count: a flag to specify if we are interested in a body for count -
no aggregations, no pagination bounds etc.
All additional keyword arguments will be included into the dictionary.
|
Serialize the search into the dictionary that will be sent over as the
request's body.
| 640 | 682 |
def to_dict(self, count=False, **kwargs):
"""
Serialize the search into the dictionary that will be sent over as the
request's body.
:arg count: a flag to specify if we are interested in a body for count -
no aggregations, no pagination bounds etc.
All additional keyword arguments will be included into the dictionary.
"""
d = {}
if self.query:
d["query"] = self.query.to_dict()
# count request doesn't care for sorting and other things
if not count:
if self.post_filter:
d["post_filter"] = self.post_filter.to_dict()
if self.aggs.aggs:
d.update(self.aggs.to_dict())
if self._sort:
d["sort"] = self._sort
d.update(recursive_to_dict(self._extra))
if self._source not in (None, {}):
d["_source"] = self._source
if self._highlight:
d["highlight"] = {"fields": self._highlight}
d["highlight"].update(self._highlight_opts)
if self._suggest:
d["suggest"] = self._suggest
if self._script_fields:
d["script_fields"] = self._script_fields
d.update(recursive_to_dict(kwargs))
return d
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L640-L682
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
38,
39,
40,
41,
42
] | 100 |
[] | 0 | true | 82.288828 | 43 | 10 | 100 | 7 |
def to_dict(self, count=False, **kwargs):
d = {}
if self.query:
d["query"] = self.query.to_dict()
# count request doesn't care for sorting and other things
if not count:
if self.post_filter:
d["post_filter"] = self.post_filter.to_dict()
if self.aggs.aggs:
d.update(self.aggs.to_dict())
if self._sort:
d["sort"] = self._sort
d.update(recursive_to_dict(self._extra))
if self._source not in (None, {}):
d["_source"] = self._source
if self._highlight:
d["highlight"] = {"fields": self._highlight}
d["highlight"].update(self._highlight_opts)
if self._suggest:
d["suggest"] = self._suggest
if self._script_fields:
d["script_fields"] = self._script_fields
d.update(recursive_to_dict(kwargs))
return d
| 22,932 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.count
|
(self)
|
return es.count(index=self._index, body=d, **self._params)["count"]
|
Return the number of hits matching the query and filters. Note that
only the actual number is returned.
|
Return the number of hits matching the query and filters. Note that
only the actual number is returned.
| 684 | 696 |
def count(self):
"""
Return the number of hits matching the query and filters. Note that
only the actual number is returned.
"""
if hasattr(self, "_response") and self._response.hits.total.relation == "eq":
return self._response.hits.total.value
es = get_connection(self._using)
d = self.to_dict(count=True)
# TODO: failed shards detection
return es.count(index=self._index, body=d, **self._params)["count"]
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L684-L696
| 37 |
[
0,
1,
2,
3,
4
] | 38.461538 |
[
5,
6,
8,
10,
12
] | 38.461538 | false | 82.288828 | 13 | 3 | 61.538462 | 2 |
def count(self):
if hasattr(self, "_response") and self._response.hits.total.relation == "eq":
return self._response.hits.total.value
es = get_connection(self._using)
d = self.to_dict(count=True)
# TODO: failed shards detection
return es.count(index=self._index, body=d, **self._params)["count"]
| 22,933 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.execute
|
(self, ignore_cache=False)
|
return self._response
|
Execute the search and return an instance of ``Response`` wrapping all
the data.
:arg ignore_cache: if set to ``True``, consecutive calls will hit
ES, while cached result will be ignored. Defaults to `False`
|
Execute the search and return an instance of ``Response`` wrapping all
the data.
| 698 | 712 |
def execute(self, ignore_cache=False):
"""
Execute the search and return an instance of ``Response`` wrapping all
the data.
:arg ignore_cache: if set to ``True``, consecutive calls will hit
ES, while cached result will be ignored. Defaults to `False`
"""
if ignore_cache or not hasattr(self, "_response"):
es = get_connection(self._using)
self._response = self._response_class(
self, es.search(index=self._index, body=self.to_dict(), **self._params)
)
return self._response
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L698-L712
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13,
14
] | 100 |
[] | 0 | true | 82.288828 | 15 | 3 | 100 | 5 |
def execute(self, ignore_cache=False):
if ignore_cache or not hasattr(self, "_response"):
es = get_connection(self._using)
self._response = self._response_class(
self, es.search(index=self._index, body=self.to_dict(), **self._params)
)
return self._response
| 22,934 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.scan
|
(self)
|
Turn the search into a scan search and return a generator that will
iterate over all the documents matching the query.
Use ``params`` method to specify any additional arguments you with to
pass to the underlying ``scan`` helper from ``elasticsearch-py`` -
https://elasticsearch-py.readthedocs.io/en/master/helpers.html#elasticsearch.helpers.scan
|
Turn the search into a scan search and return a generator that will
iterate over all the documents matching the query.
| 714 | 727 |
def scan(self):
"""
Turn the search into a scan search and return a generator that will
iterate over all the documents matching the query.
Use ``params`` method to specify any additional arguments you with to
pass to the underlying ``scan`` helper from ``elasticsearch-py`` -
https://elasticsearch-py.readthedocs.io/en/master/helpers.html#elasticsearch.helpers.scan
"""
es = get_connection(self._using)
for hit in scan(es, query=self.to_dict(), index=self._index, **self._params):
yield self._get_result(hit)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L714-L727
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9
] | 71.428571 |
[
10,
12,
13
] | 21.428571 | false | 82.288828 | 14 | 2 | 78.571429 | 6 |
def scan(self):
es = get_connection(self._using)
for hit in scan(es, query=self.to_dict(), index=self._index, **self._params):
yield self._get_result(hit)
| 22,935 |
|
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
Search.delete
|
(self)
|
return AttrDict(
es.delete_by_query(index=self._index, body=self.to_dict(), **self._params)
)
|
delete() executes the query by delegating to delete_by_query()
|
delete() executes the query by delegating to delete_by_query()
| 729 | 738 |
def delete(self):
"""
delete() executes the query by delegating to delete_by_query()
"""
es = get_connection(self._using)
return AttrDict(
es.delete_by_query(index=self._index, body=self.to_dict(), **self._params)
)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L729-L738
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9
] | 100 |
[] | 0 | true | 82.288828 | 10 | 1 | 100 | 1 |
def delete(self):
es = get_connection(self._using)
return AttrDict(
es.delete_by_query(index=self._index, body=self.to_dict(), **self._params)
)
| 22,936 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
MultiSearch.__init__
|
(self, **kwargs)
| 747 | 749 |
def __init__(self, **kwargs):
super().__init__(**kwargs)
self._searches = []
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L747-L749
| 37 |
[
0
] | 33.333333 |
[
1,
2
] | 66.666667 | false | 82.288828 | 3 | 1 | 33.333333 | 0 |
def __init__(self, **kwargs):
super().__init__(**kwargs)
self._searches = []
| 22,937 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
MultiSearch.__getitem__
|
(self, key)
|
return self._searches[key]
| 751 | 752 |
def __getitem__(self, key):
return self._searches[key]
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L751-L752
| 37 |
[
0
] | 50 |
[
1
] | 50 | false | 82.288828 | 2 | 1 | 50 | 0 |
def __getitem__(self, key):
return self._searches[key]
| 22,938 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
MultiSearch.__iter__
|
(self)
|
return iter(self._searches)
| 754 | 755 |
def __iter__(self):
return iter(self._searches)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L754-L755
| 37 |
[
0
] | 50 |
[
1
] | 50 | false | 82.288828 | 2 | 1 | 50 | 0 |
def __iter__(self):
return iter(self._searches)
| 22,939 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
MultiSearch._clone
|
(self)
|
return ms
| 757 | 760 |
def _clone(self):
ms = super()._clone()
ms._searches = self._searches[:]
return ms
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L757-L760
| 37 |
[
0
] | 25 |
[
1,
2,
3
] | 75 | false | 82.288828 | 4 | 1 | 25 | 0 |
def _clone(self):
ms = super()._clone()
ms._searches = self._searches[:]
return ms
| 22,940 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
MultiSearch.add
|
(self, search)
|
return ms
|
Adds a new :class:`~elasticsearch_dsl.Search` object to the request::
ms = MultiSearch(index='my-index')
ms = ms.add(Search(doc_type=Category).filter('term', category='python'))
ms = ms.add(Search(doc_type=Blog))
|
Adds a new :class:`~elasticsearch_dsl.Search` object to the request::
| 762 | 772 |
def add(self, search):
"""
Adds a new :class:`~elasticsearch_dsl.Search` object to the request::
ms = MultiSearch(index='my-index')
ms = ms.add(Search(doc_type=Category).filter('term', category='python'))
ms = ms.add(Search(doc_type=Blog))
"""
ms = self._clone()
ms._searches.append(search)
return ms
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L762-L772
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7
] | 72.727273 |
[
8,
9,
10
] | 27.272727 | false | 82.288828 | 11 | 1 | 72.727273 | 5 |
def add(self, search):
ms = self._clone()
ms._searches.append(search)
return ms
| 22,941 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
MultiSearch.to_dict
|
(self)
|
return out
| 774 | 785 |
def to_dict(self):
out = []
for s in self._searches:
meta = {}
if s._index:
meta["index"] = s._index
meta.update(s._params)
out.append(meta)
out.append(s.to_dict())
return out
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L774-L785
| 37 |
[
0
] | 8.333333 |
[
1,
2,
3,
4,
5,
6,
8,
9,
11
] | 75 | false | 82.288828 | 12 | 3 | 25 | 0 |
def to_dict(self):
out = []
for s in self._searches:
meta = {}
if s._index:
meta["index"] = s._index
meta.update(s._params)
out.append(meta)
out.append(s.to_dict())
return out
| 22,942 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/search.py
|
MultiSearch.execute
|
(self, ignore_cache=False, raise_on_error=True)
|
return self._response
|
Execute the multi search request and return a list of search results.
|
Execute the multi search request and return a list of search results.
| 787 | 810 |
def execute(self, ignore_cache=False, raise_on_error=True):
"""
Execute the multi search request and return a list of search results.
"""
if ignore_cache or not hasattr(self, "_response"):
es = get_connection(self._using)
responses = es.msearch(
index=self._index, body=self.to_dict(), **self._params
)
out = []
for s, r in zip(self._searches, responses["responses"]):
if r.get("error", False):
if raise_on_error:
raise TransportError("N/A", r["error"]["type"], r["error"])
r = None
else:
r = Response(s, r)
out.append(r)
self._response = out
return self._response
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/search.py#L787-L810
| 37 |
[
0,
1,
2,
3
] | 16.666667 |
[
4,
5,
7,
11,
12,
13,
14,
15,
16,
18,
19,
21,
23
] | 54.166667 | false | 82.288828 | 24 | 6 | 45.833333 | 1 |
def execute(self, ignore_cache=False, raise_on_error=True):
if ignore_cache or not hasattr(self, "_response"):
es = get_connection(self._using)
responses = es.msearch(
index=self._index, body=self.to_dict(), **self._params
)
out = []
for s, r in zip(self._searches, responses["responses"]):
if r.get("error", False):
if raise_on_error:
raise TransportError("N/A", r["error"]["type"], r["error"])
r = None
else:
r = Response(s, r)
out.append(r)
self._response = out
return self._response
| 22,943 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/serializer.py
|
AttrJSONSerializer.default
|
(self, data)
|
return super().default(data)
| 24 | 29 |
def default(self, data):
if isinstance(data, AttrList):
return data._l_
if hasattr(data, "to_dict"):
return data.to_dict()
return super().default(data)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/serializer.py#L24-L29
| 37 |
[
0,
1,
2,
3,
4
] | 83.333333 |
[
5
] | 16.666667 | false | 90 | 6 | 3 | 83.333333 | 0 |
def default(self, data):
if isinstance(data, AttrList):
return data._l_
if hasattr(data, "to_dict"):
return data.to_dict()
return super().default(data)
| 22,944 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Properties.__init__
|
(self)
| 42 | 43 |
def __init__(self):
super().__init__()
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L42-L43
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 72.60274 | 2 | 1 | 100 | 0 |
def __init__(self):
super().__init__()
| 22,945 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Properties.__repr__
|
(self)
|
return "Properties()"
| 45 | 46 |
def __repr__(self):
return "Properties()"
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L45-L46
| 37 |
[
0
] | 50 |
[
1
] | 50 | false | 72.60274 | 2 | 1 | 50 | 0 |
def __repr__(self):
return "Properties()"
| 22,946 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Properties.__getitem__
|
(self, name)
|
return self.properties[name]
| 48 | 49 |
def __getitem__(self, name):
return self.properties[name]
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L48-L49
| 37 |
[
0
] | 50 |
[
1
] | 50 | false | 72.60274 | 2 | 1 | 50 | 0 |
def __getitem__(self, name):
return self.properties[name]
| 22,947 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Properties.__contains__
|
(self, name)
|
return name in self.properties
| 51 | 52 |
def __contains__(self, name):
return name in self.properties
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L51-L52
| 37 |
[
0
] | 50 |
[
1
] | 50 | false | 72.60274 | 2 | 1 | 50 | 0 |
def __contains__(self, name):
return name in self.properties
| 22,948 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Properties.to_dict
|
(self)
|
return super().to_dict()["properties"]
| 54 | 55 |
def to_dict(self):
return super().to_dict()["properties"]
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L54-L55
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 72.60274 | 2 | 1 | 100 | 0 |
def to_dict(self):
return super().to_dict()["properties"]
| 22,949 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Properties.field
|
(self, name, *args, **kwargs)
|
return self
| 57 | 59 |
def field(self, name, *args, **kwargs):
self.properties[name] = construct_field(*args, **kwargs)
return self
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L57-L59
| 37 |
[
0,
1,
2
] | 100 |
[] | 0 | true | 72.60274 | 3 | 1 | 100 | 0 |
def field(self, name, *args, **kwargs):
self.properties[name] = construct_field(*args, **kwargs)
return self
| 22,950 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Properties._collect_fields
|
(self)
|
Iterate over all Field objects within, including multi fields.
|
Iterate over all Field objects within, including multi fields.
| 61 | 70 |
def _collect_fields(self):
"""Iterate over all Field objects within, including multi fields."""
for f in self.properties.to_dict().values():
yield f
# multi fields
if hasattr(f, "fields"):
yield from f.fields.to_dict().values()
# nested and inner objects
if hasattr(f, "_collect_fields"):
yield from f._collect_fields()
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L61-L70
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9
] | 100 |
[] | 0 | true | 72.60274 | 10 | 4 | 100 | 1 |
def _collect_fields(self):
for f in self.properties.to_dict().values():
yield f
# multi fields
if hasattr(f, "fields"):
yield from f.fields.to_dict().values()
# nested and inner objects
if hasattr(f, "_collect_fields"):
yield from f._collect_fields()
| 22,951 |
|
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Properties.update
|
(self, other_object)
| 72 | 83 |
def update(self, other_object):
if not hasattr(other_object, "properties"):
# not an inner/nested object, no merge possible
return
our, other = self.properties, other_object.properties
for name in other:
if name in our:
if hasattr(our[name], "update"):
our[name].update(other[name])
continue
our[name] = other[name]
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L72-L83
| 37 |
[
0
] | 8.333333 |
[
1,
3,
5,
6,
7,
8,
9,
10,
11
] | 75 | false | 72.60274 | 12 | 5 | 25 | 0 |
def update(self, other_object):
if not hasattr(other_object, "properties"):
# not an inner/nested object, no merge possible
return
our, other = self.properties, other_object.properties
for name in other:
if name in our:
if hasattr(our[name], "update"):
our[name].update(other[name])
continue
our[name] = other[name]
| 22,952 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping.__init__
|
(self)
| 87 | 89 |
def __init__(self):
self.properties = Properties()
self._meta = {}
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L87-L89
| 37 |
[
0,
1,
2
] | 100 |
[] | 0 | true | 72.60274 | 3 | 1 | 100 | 0 |
def __init__(self):
self.properties = Properties()
self._meta = {}
| 22,953 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping.__repr__
|
(self)
|
return "Mapping()"
| 91 | 92 |
def __repr__(self):
return "Mapping()"
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L91-L92
| 37 |
[
0
] | 50 |
[
1
] | 50 | false | 72.60274 | 2 | 1 | 50 | 0 |
def __repr__(self):
return "Mapping()"
| 22,954 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping._clone
|
(self)
|
return m
| 94 | 97 |
def _clone(self):
m = Mapping()
m.properties._params = self.properties._params.copy()
return m
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L94-L97
| 37 |
[
0
] | 25 |
[
1,
2,
3
] | 75 | false | 72.60274 | 4 | 1 | 25 | 0 |
def _clone(self):
m = Mapping()
m.properties._params = self.properties._params.copy()
return m
| 22,955 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping.from_es
|
(cls, index, using="default")
|
return m
| 100 | 103 |
def from_es(cls, index, using="default"):
m = cls()
m.update_from_es(index, using)
return m
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L100-L103
| 37 |
[
0
] | 25 |
[
1,
2,
3
] | 75 | false | 72.60274 | 4 | 1 | 25 | 0 |
def from_es(cls, index, using="default"):
m = cls()
m.update_from_es(index, using)
return m
| 22,956 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping.resolve_nested
|
(self, field_path)
|
return nested, field
| 105 | 116 |
def resolve_nested(self, field_path):
field = self
nested = []
parts = field_path.split(".")
for i, step in enumerate(parts):
try:
field = field[step]
except KeyError:
return (), None
if isinstance(field, Nested):
nested.append(".".join(parts[: i + 1]))
return nested, field
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L105-L116
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
9,
10,
11
] | 83.333333 |
[
7,
8
] | 16.666667 | false | 72.60274 | 12 | 4 | 83.333333 | 0 |
def resolve_nested(self, field_path):
field = self
nested = []
parts = field_path.split(".")
for i, step in enumerate(parts):
try:
field = field[step]
except KeyError:
return (), None
if isinstance(field, Nested):
nested.append(".".join(parts[: i + 1]))
return nested, field
| 22,957 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping.resolve_field
|
(self, field_path)
|
return field
| 118 | 125 |
def resolve_field(self, field_path):
field = self
for step in field_path.split("."):
try:
field = field[step]
except KeyError:
return
return field
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L118-L125
| 37 |
[
0,
1,
2,
3,
4,
7
] | 75 |
[
5,
6
] | 25 | false | 72.60274 | 8 | 3 | 75 | 0 |
def resolve_field(self, field_path):
field = self
for step in field_path.split("."):
try:
field = field[step]
except KeyError:
return
return field
| 22,958 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping._collect_analysis
|
(self)
|
return analysis
| 127 | 153 |
def _collect_analysis(self):
analysis = {}
fields = []
if "_all" in self._meta:
fields.append(Text(**self._meta["_all"]))
for f in chain(fields, self.properties._collect_fields()):
for analyzer_name in (
"analyzer",
"normalizer",
"search_analyzer",
"search_quote_analyzer",
):
if not hasattr(f, analyzer_name):
continue
analyzer = getattr(f, analyzer_name)
d = analyzer.get_analysis_definition()
# empty custom analyzer, probably already defined out of our control
if not d:
continue
# merge the definition
# TODO: conflict detection/resolution
for key in d:
analysis.setdefault(key, {}).update(d[key])
return analysis
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L127-L153
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
13,
14,
15,
16,
17,
18,
19,
20,
21,
22,
23,
24,
25,
26
] | 81.481481 |
[] | 0 | false | 72.60274 | 27 | 7 | 100 | 0 |
def _collect_analysis(self):
analysis = {}
fields = []
if "_all" in self._meta:
fields.append(Text(**self._meta["_all"]))
for f in chain(fields, self.properties._collect_fields()):
for analyzer_name in (
"analyzer",
"normalizer",
"search_analyzer",
"search_quote_analyzer",
):
if not hasattr(f, analyzer_name):
continue
analyzer = getattr(f, analyzer_name)
d = analyzer.get_analysis_definition()
# empty custom analyzer, probably already defined out of our control
if not d:
continue
# merge the definition
# TODO: conflict detection/resolution
for key in d:
analysis.setdefault(key, {}).update(d[key])
return analysis
| 22,959 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping.save
|
(self, index, using="default")
|
return index.save()
| 155 | 160 |
def save(self, index, using="default"):
from .index import Index
index = Index(index, using=using)
index.mapping(self)
return index.save()
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L155-L160
| 37 |
[
0
] | 16.666667 |
[
1,
3,
4,
5
] | 66.666667 | false | 72.60274 | 6 | 1 | 33.333333 | 0 |
def save(self, index, using="default"):
from .index import Index
index = Index(index, using=using)
index.mapping(self)
return index.save()
| 22,960 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping.update_from_es
|
(self, index, using="default")
| 162 | 166 |
def update_from_es(self, index, using="default"):
es = get_connection(using)
raw = es.indices.get_mapping(index=index)
_, raw = raw.popitem()
self._update_from_dict(raw["mappings"])
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L162-L166
| 37 |
[
0
] | 20 |
[
1,
2,
3,
4
] | 80 | false | 72.60274 | 5 | 1 | 20 | 0 |
def update_from_es(self, index, using="default"):
es = get_connection(using)
raw = es.indices.get_mapping(index=index)
_, raw = raw.popitem()
self._update_from_dict(raw["mappings"])
| 22,961 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping._update_from_dict
|
(self, raw)
| 168 | 178 |
def _update_from_dict(self, raw):
for name, definition in raw.get("properties", {}).items():
self.field(name, definition)
# metadata like _all etc
for name, value in raw.items():
if name != "properties":
if isinstance(value, collections.abc.Mapping):
self.meta(name, **value)
else:
self.meta(name, value)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L168-L178
| 37 |
[
0
] | 9.090909 |
[
1,
2,
5,
6,
7,
8,
10
] | 63.636364 | false | 72.60274 | 11 | 5 | 36.363636 | 0 |
def _update_from_dict(self, raw):
for name, definition in raw.get("properties", {}).items():
self.field(name, definition)
# metadata like _all etc
for name, value in raw.items():
if name != "properties":
if isinstance(value, collections.abc.Mapping):
self.meta(name, **value)
else:
self.meta(name, value)
| 22,962 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping.update
|
(self, mapping, update_only=False)
| 180 | 195 |
def update(self, mapping, update_only=False):
for name in mapping:
if update_only and name in self:
# nested and inner objects, merge recursively
if hasattr(self[name], "update"):
# FIXME only merge subfields, not the settings
self[name].update(mapping[name], update_only)
continue
self.field(name, mapping[name])
if update_only:
for name in mapping._meta:
if name not in self._meta:
self._meta[name] = mapping._meta[name]
else:
self._meta.update(mapping._meta)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L180-L195
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11,
12,
13
] | 87.5 |
[
15
] | 6.25 | false | 72.60274 | 16 | 8 | 93.75 | 0 |
def update(self, mapping, update_only=False):
for name in mapping:
if update_only and name in self:
# nested and inner objects, merge recursively
if hasattr(self[name], "update"):
# FIXME only merge subfields, not the settings
self[name].update(mapping[name], update_only)
continue
self.field(name, mapping[name])
if update_only:
for name in mapping._meta:
if name not in self._meta:
self._meta[name] = mapping._meta[name]
else:
self._meta.update(mapping._meta)
| 22,963 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping.__contains__
|
(self, name)
|
return name in self.properties.properties
| 197 | 198 |
def __contains__(self, name):
return name in self.properties.properties
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L197-L198
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 72.60274 | 2 | 1 | 100 | 0 |
def __contains__(self, name):
return name in self.properties.properties
| 22,964 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping.__getitem__
|
(self, name)
|
return self.properties.properties[name]
| 200 | 201 |
def __getitem__(self, name):
return self.properties.properties[name]
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L200-L201
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 72.60274 | 2 | 1 | 100 | 0 |
def __getitem__(self, name):
return self.properties.properties[name]
| 22,965 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping.__iter__
|
(self)
|
return iter(self.properties.properties)
| 203 | 204 |
def __iter__(self):
return iter(self.properties.properties)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L203-L204
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 72.60274 | 2 | 1 | 100 | 0 |
def __iter__(self):
return iter(self.properties.properties)
| 22,966 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping.field
|
(self, *args, **kwargs)
|
return self
| 206 | 208 |
def field(self, *args, **kwargs):
self.properties.field(*args, **kwargs)
return self
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L206-L208
| 37 |
[
0,
1,
2
] | 100 |
[] | 0 | true | 72.60274 | 3 | 1 | 100 | 0 |
def field(self, *args, **kwargs):
self.properties.field(*args, **kwargs)
return self
| 22,967 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping.meta
|
(self, name, params=None, **kwargs)
|
return self
| 210 | 218 |
def meta(self, name, params=None, **kwargs):
if not name.startswith("_") and name not in META_FIELDS:
name = "_" + name
if params and kwargs:
raise ValueError("Meta configs cannot have both value and a dictionary.")
self._meta[name] = kwargs if params is None else params
return self
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L210-L218
| 37 |
[
0,
1,
2,
3,
4,
6,
7,
8
] | 88.888889 |
[
5
] | 11.111111 | false | 72.60274 | 9 | 5 | 88.888889 | 0 |
def meta(self, name, params=None, **kwargs):
if not name.startswith("_") and name not in META_FIELDS:
name = "_" + name
if params and kwargs:
raise ValueError("Meta configs cannot have both value and a dictionary.")
self._meta[name] = kwargs if params is None else params
return self
| 22,968 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/mapping.py
|
Mapping.to_dict
|
(self)
|
return meta
| 220 | 231 |
def to_dict(self):
meta = self._meta
# hard coded serialization of analyzers in _all
if "_all" in meta:
meta = meta.copy()
_all = meta["_all"] = meta["_all"].copy()
for f in ("analyzer", "search_analyzer", "search_quote_analyzer"):
if hasattr(_all.get(f, None), "to_dict"):
_all[f] = _all[f].to_dict()
meta.update(self.properties.to_dict())
return meta
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/mapping.py#L220-L231
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10,
11
] | 100 |
[] | 0 | true | 72.60274 | 12 | 4 | 100 | 0 |
def to_dict(self):
meta = self._meta
# hard coded serialization of analyzers in _all
if "_all" in meta:
meta = meta.copy()
_all = meta["_all"] = meta["_all"].copy()
for f in ("analyzer", "search_analyzer", "search_quote_analyzer"):
if hasattr(_all.get(f, None), "to_dict"):
_all[f] = _all[f].to_dict()
meta.update(self.properties.to_dict())
return meta
| 22,969 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
A
|
(name_or_agg, filter=None, **params)
|
return Agg.get_dsl_class(name_or_agg)(**params)
| 24 | 67 |
def A(name_or_agg, filter=None, **params):
if filter is not None:
if name_or_agg != "filter":
raise ValueError(
"Aggregation %r doesn't accept positional argument 'filter'."
% name_or_agg
)
params["filter"] = filter
# {"terms": {"field": "tags"}, "aggs": {...}}
if isinstance(name_or_agg, collections.abc.Mapping):
if params:
raise ValueError("A() cannot accept parameters when passing in a dict.")
# copy to avoid modifying in-place
agg = name_or_agg.copy()
# pop out nested aggs
aggs = agg.pop("aggs", None)
# pop out meta data
meta = agg.pop("meta", None)
# should be {"terms": {"field": "tags"}}
if len(agg) != 1:
raise ValueError(
'A() can only accept dict with an aggregation ({"terms": {...}}). '
"Instead it got (%r)" % name_or_agg
)
agg_type, params = agg.popitem()
if aggs:
params = params.copy()
params["aggs"] = aggs
if meta:
params = params.copy()
params["meta"] = meta
return Agg.get_dsl_class(agg_type)(_expand__to_dot=False, **params)
# Terms(...) just return the nested agg
elif isinstance(name_or_agg, Agg):
if params:
raise ValueError(
"A() cannot accept parameters when passing in an Agg object."
)
return name_or_agg
# "terms", field="tags"
return Agg.get_dsl_class(name_or_agg)(**params)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L24-L67
| 37 |
[
0,
1,
2,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18,
19,
20,
21,
25,
26,
27,
28,
29,
30,
31,
32,
33,
34,
35,
36,
37,
40,
41,
42,
43
] | 79.545455 |
[
3
] | 2.272727 | false | 97.379913 | 44 | 10 | 97.727273 | 0 |
def A(name_or_agg, filter=None, **params):
if filter is not None:
if name_or_agg != "filter":
raise ValueError(
"Aggregation %r doesn't accept positional argument 'filter'."
% name_or_agg
)
params["filter"] = filter
# {"terms": {"field": "tags"}, "aggs": {...}}
if isinstance(name_or_agg, collections.abc.Mapping):
if params:
raise ValueError("A() cannot accept parameters when passing in a dict.")
# copy to avoid modifying in-place
agg = name_or_agg.copy()
# pop out nested aggs
aggs = agg.pop("aggs", None)
# pop out meta data
meta = agg.pop("meta", None)
# should be {"terms": {"field": "tags"}}
if len(agg) != 1:
raise ValueError(
'A() can only accept dict with an aggregation ({"terms": {...}}). '
"Instead it got (%r)" % name_or_agg
)
agg_type, params = agg.popitem()
if aggs:
params = params.copy()
params["aggs"] = aggs
if meta:
params = params.copy()
params["meta"] = meta
return Agg.get_dsl_class(agg_type)(_expand__to_dot=False, **params)
# Terms(...) just return the nested agg
elif isinstance(name_or_agg, Agg):
if params:
raise ValueError(
"A() cannot accept parameters when passing in an Agg object."
)
return name_or_agg
# "terms", field="tags"
return Agg.get_dsl_class(name_or_agg)(**params)
| 22,970 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
Agg.__contains__
|
(self, key)
|
return False
| 75 | 76 |
def __contains__(self, key):
return False
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L75-L76
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 97.379913 | 2 | 1 | 100 | 0 |
def __contains__(self, key):
return False
| 22,971 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
Agg.to_dict
|
(self)
|
return d
| 78 | 82 |
def to_dict(self):
d = super().to_dict()
if "meta" in d[self.name]:
d["meta"] = d[self.name].pop("meta")
return d
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L78-L82
| 37 |
[
0,
1,
2,
3,
4
] | 100 |
[] | 0 | true | 97.379913 | 5 | 2 | 100 | 0 |
def to_dict(self):
d = super().to_dict()
if "meta" in d[self.name]:
d["meta"] = d[self.name].pop("meta")
return d
| 22,972 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
Agg.result
|
(self, search, data)
|
return AggResponse(self, search, data)
| 84 | 85 |
def result(self, search, data):
return AggResponse(self, search, data)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L84-L85
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 97.379913 | 2 | 1 | 100 | 0 |
def result(self, search, data):
return AggResponse(self, search, data)
| 22,973 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
AggBase.__contains__
|
(self, key)
|
return key in self._params.get("aggs", {})
| 93 | 94 |
def __contains__(self, key):
return key in self._params.get("aggs", {})
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L93-L94
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 97.379913 | 2 | 1 | 100 | 0 |
def __contains__(self, key):
return key in self._params.get("aggs", {})
| 22,974 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
AggBase.__getitem__
|
(self, agg_name)
|
return agg
| 96 | 106 |
def __getitem__(self, agg_name):
agg = self._params.setdefault("aggs", {})[agg_name] # propagate KeyError
# make sure we're not mutating a shared state - whenever accessing a
# bucket, return a shallow copy of it to be safe
if isinstance(agg, Bucket):
agg = A(agg.name, **agg._params)
# be sure to store the copy so any modifications to it will affect us
self._params["aggs"][agg_name] = agg
return agg
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L96-L106
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7,
8,
9,
10
] | 100 |
[] | 0 | true | 97.379913 | 11 | 2 | 100 | 0 |
def __getitem__(self, agg_name):
agg = self._params.setdefault("aggs", {})[agg_name] # propagate KeyError
# make sure we're not mutating a shared state - whenever accessing a
# bucket, return a shallow copy of it to be safe
if isinstance(agg, Bucket):
agg = A(agg.name, **agg._params)
# be sure to store the copy so any modifications to it will affect us
self._params["aggs"][agg_name] = agg
return agg
| 22,975 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
AggBase.__setitem__
|
(self, agg_name, agg)
| 108 | 109 |
def __setitem__(self, agg_name, agg):
self.aggs[agg_name] = A(agg)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L108-L109
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 97.379913 | 2 | 1 | 100 | 0 |
def __setitem__(self, agg_name, agg):
self.aggs[agg_name] = A(agg)
| 22,976 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
AggBase.__iter__
|
(self)
|
return iter(self.aggs)
| 111 | 112 |
def __iter__(self):
return iter(self.aggs)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L111-L112
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 97.379913 | 2 | 1 | 100 | 0 |
def __iter__(self):
return iter(self.aggs)
| 22,977 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
AggBase._agg
|
(self, bucket, name, agg_type, *args, **params)
| 114 | 122 |
def _agg(self, bucket, name, agg_type, *args, **params):
agg = self[name] = A(agg_type, *args, **params)
# For chaining - when creating new buckets return them...
if bucket:
return agg
# otherwise return self._base so we can keep chaining
else:
return self._base
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L114-L122
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
8
] | 88.888889 |
[] | 0 | false | 97.379913 | 9 | 2 | 100 | 0 |
def _agg(self, bucket, name, agg_type, *args, **params):
agg = self[name] = A(agg_type, *args, **params)
# For chaining - when creating new buckets return them...
if bucket:
return agg
# otherwise return self._base so we can keep chaining
else:
return self._base
| 22,978 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
AggBase.metric
|
(self, name, agg_type, *args, **params)
|
return self._agg(False, name, agg_type, *args, **params)
| 124 | 125 |
def metric(self, name, agg_type, *args, **params):
return self._agg(False, name, agg_type, *args, **params)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L124-L125
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 97.379913 | 2 | 1 | 100 | 0 |
def metric(self, name, agg_type, *args, **params):
return self._agg(False, name, agg_type, *args, **params)
| 22,979 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
AggBase.bucket
|
(self, name, agg_type, *args, **params)
|
return self._agg(True, name, agg_type, *args, **params)
| 127 | 128 |
def bucket(self, name, agg_type, *args, **params):
return self._agg(True, name, agg_type, *args, **params)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L127-L128
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 97.379913 | 2 | 1 | 100 | 0 |
def bucket(self, name, agg_type, *args, **params):
return self._agg(True, name, agg_type, *args, **params)
| 22,980 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
AggBase.pipeline
|
(self, name, agg_type, *args, **params)
|
return self._agg(False, name, agg_type, *args, **params)
| 130 | 131 |
def pipeline(self, name, agg_type, *args, **params):
return self._agg(False, name, agg_type, *args, **params)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L130-L131
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 97.379913 | 2 | 1 | 100 | 0 |
def pipeline(self, name, agg_type, *args, **params):
return self._agg(False, name, agg_type, *args, **params)
| 22,981 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
AggBase.result
|
(self, search, data)
|
return BucketData(self, search, data)
| 133 | 134 |
def result(self, search, data):
return BucketData(self, search, data)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L133-L134
| 37 |
[
0
] | 50 |
[
1
] | 50 | false | 97.379913 | 2 | 1 | 50 | 0 |
def result(self, search, data):
return BucketData(self, search, data)
| 22,982 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
Bucket.__init__
|
(self, **params)
| 138 | 141 |
def __init__(self, **params):
super().__init__(**params)
# remember self for chaining
self._base = self
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L138-L141
| 37 |
[
0,
1,
2,
3
] | 100 |
[] | 0 | true | 97.379913 | 4 | 1 | 100 | 0 |
def __init__(self, **params):
super().__init__(**params)
# remember self for chaining
self._base = self
| 22,983 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
Bucket.to_dict
|
(self)
|
return d
| 143 | 147 |
def to_dict(self):
d = super(AggBase, self).to_dict()
if "aggs" in d[self.name]:
d["aggs"] = d[self.name].pop("aggs")
return d
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L143-L147
| 37 |
[
0,
1,
2,
3,
4
] | 100 |
[] | 0 | true | 97.379913 | 5 | 2 | 100 | 0 |
def to_dict(self):
d = super(AggBase, self).to_dict()
if "aggs" in d[self.name]:
d["aggs"] = d[self.name].pop("aggs")
return d
| 22,984 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
Filter.__init__
|
(self, filter=None, **params)
| 157 | 160 |
def __init__(self, filter=None, **params):
if filter is not None:
params["filter"] = filter
super().__init__(**params)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L157-L160
| 37 |
[
0,
1,
2,
3
] | 100 |
[] | 0 | true | 97.379913 | 4 | 2 | 100 | 0 |
def __init__(self, filter=None, **params):
if filter is not None:
params["filter"] = filter
super().__init__(**params)
| 22,985 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
Filter.to_dict
|
(self)
|
return d
| 162 | 165 |
def to_dict(self):
d = super().to_dict()
d[self.name].update(d[self.name].pop("filter", {}))
return d
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L162-L165
| 37 |
[
0,
1,
2,
3
] | 100 |
[] | 0 | true | 97.379913 | 4 | 1 | 100 | 0 |
def to_dict(self):
d = super().to_dict()
d[self.name].update(d[self.name].pop("filter", {}))
return d
| 22,986 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
DateHistogram.result
|
(self, search, data)
|
return FieldBucketData(self, search, data)
| 192 | 193 |
def result(self, search, data):
return FieldBucketData(self, search, data)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L192-L193
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 97.379913 | 2 | 1 | 100 | 0 |
def result(self, search, data):
return FieldBucketData(self, search, data)
| 22,987 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
Histogram.result
|
(self, search, data)
|
return FieldBucketData(self, search, data)
| 227 | 228 |
def result(self, search, data):
return FieldBucketData(self, search, data)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L227-L228
| 37 |
[
0
] | 50 |
[
1
] | 50 | false | 97.379913 | 2 | 1 | 50 | 0 |
def result(self, search, data):
return FieldBucketData(self, search, data)
| 22,988 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
RareTerms.result
|
(self, search, data)
|
return FieldBucketData(self, search, data)
| 250 | 251 |
def result(self, search, data):
return FieldBucketData(self, search, data)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L250-L251
| 37 |
[
0
] | 50 |
[
1
] | 50 | false | 97.379913 | 2 | 1 | 50 | 0 |
def result(self, search, data):
return FieldBucketData(self, search, data)
| 22,989 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
Terms.result
|
(self, search, data)
|
return FieldBucketData(self, search, data)
| 269 | 270 |
def result(self, search, data):
return FieldBucketData(self, search, data)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L269-L270
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 97.379913 | 2 | 1 | 100 | 0 |
def result(self, search, data):
return FieldBucketData(self, search, data)
| 22,990 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
VariableWidthHistogram.result
|
(self, search, data)
|
return FieldBucketData(self, search, data)
| 292 | 293 |
def result(self, search, data):
return FieldBucketData(self, search, data)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L292-L293
| 37 |
[
0
] | 50 |
[
1
] | 50 | false | 97.379913 | 2 | 1 | 50 | 0 |
def result(self, search, data):
return FieldBucketData(self, search, data)
| 22,991 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/aggs.py
|
TopHits.result
|
(self, search, data)
|
return TopHitsData(self, search, data)
| 304 | 305 |
def result(self, search, data):
return TopHitsData(self, search, data)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/aggs.py#L304-L305
| 37 |
[
0
] | 50 |
[
1
] | 50 | false | 97.379913 | 2 | 1 | 50 | 0 |
def result(self, search, data):
return TopHitsData(self, search, data)
| 22,992 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
_date_interval_year
|
(d)
|
return d.replace(
year=d.year + 1, day=(28 if d.month == 2 and d.day == 29 else d.day)
)
| 169 | 172 |
def _date_interval_year(d):
return d.replace(
year=d.year + 1, day=(28 if d.month == 2 and d.day == 29 else d.day)
)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L169-L172
| 37 |
[
0,
1
] | 50 |
[] | 0 | false | 69.154229 | 4 | 2 | 100 | 0 |
def _date_interval_year(d):
return d.replace(
year=d.year + 1, day=(28 if d.month == 2 and d.day == 29 else d.day)
)
| 22,993 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
_date_interval_month
|
(d)
|
return (d + timedelta(days=32)).replace(day=1)
| 175 | 176 |
def _date_interval_month(d):
return (d + timedelta(days=32)).replace(day=1)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L175-L176
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 69.154229 | 2 | 1 | 100 | 0 |
def _date_interval_month(d):
return (d + timedelta(days=32)).replace(day=1)
| 22,994 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
_date_interval_week
|
(d)
|
return d + timedelta(days=7)
| 179 | 180 |
def _date_interval_week(d):
return d + timedelta(days=7)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L179-L180
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 69.154229 | 2 | 1 | 100 | 0 |
def _date_interval_week(d):
return d + timedelta(days=7)
| 22,995 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
_date_interval_day
|
(d)
|
return d + timedelta(days=1)
| 183 | 184 |
def _date_interval_day(d):
return d + timedelta(days=1)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L183-L184
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 69.154229 | 2 | 1 | 100 | 0 |
def _date_interval_day(d):
return d + timedelta(days=1)
| 22,996 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
_date_interval_hour
|
(d)
|
return d + timedelta(hours=1)
| 187 | 188 |
def _date_interval_hour(d):
return d + timedelta(hours=1)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L187-L188
| 37 |
[
0,
1
] | 100 |
[] | 0 | true | 69.154229 | 2 | 1 | 100 | 0 |
def _date_interval_hour(d):
return d + timedelta(hours=1)
| 22,997 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
Facet.__init__
|
(self, metric=None, metric_sort="desc", **kwargs)
| 45 | 50 |
def __init__(self, metric=None, metric_sort="desc", **kwargs):
self.filter_values = ()
self._params = kwargs
self._metric = metric
if metric and metric_sort:
self._params["order"] = {"metric": metric_sort}
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L45-L50
| 37 |
[
0,
1,
2,
3,
4,
5
] | 100 |
[] | 0 | true | 69.154229 | 6 | 3 | 100 | 0 |
def __init__(self, metric=None, metric_sort="desc", **kwargs):
self.filter_values = ()
self._params = kwargs
self._metric = metric
if metric and metric_sort:
self._params["order"] = {"metric": metric_sort}
| 22,998 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
Facet.get_aggregation
|
(self)
|
return agg
|
Return the aggregation object.
|
Return the aggregation object.
| 52 | 59 |
def get_aggregation(self):
"""
Return the aggregation object.
"""
agg = A(self.agg_type, **self._params)
if self._metric:
agg.metric("metric", self._metric)
return agg
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L52-L59
| 37 |
[
0,
1,
2,
3,
4,
5,
7
] | 87.5 |
[
6
] | 12.5 | false | 69.154229 | 8 | 2 | 87.5 | 1 |
def get_aggregation(self):
agg = A(self.agg_type, **self._params)
if self._metric:
agg.metric("metric", self._metric)
return agg
| 22,999 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
Facet.add_filter
|
(self, filter_values)
|
return f
|
Construct a filter.
|
Construct a filter.
| 61 | 71 |
def add_filter(self, filter_values):
"""
Construct a filter.
"""
if not filter_values:
return
f = self.get_value_filter(filter_values[0])
for v in filter_values[1:]:
f |= self.get_value_filter(v)
return f
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L61-L71
| 37 |
[
0,
1,
2,
3
] | 36.363636 |
[
4,
5,
7,
8,
9,
10
] | 54.545455 | false | 69.154229 | 11 | 3 | 45.454545 | 1 |
def add_filter(self, filter_values):
if not filter_values:
return
f = self.get_value_filter(filter_values[0])
for v in filter_values[1:]:
f |= self.get_value_filter(v)
return f
| 23,000 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
Facet.get_value_filter
|
(self, filter_value)
|
Construct a filter for an individual value
|
Construct a filter for an individual value
| 73 | 77 |
def get_value_filter(self, filter_value):
"""
Construct a filter for an individual value
"""
pass
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L73-L77
| 37 |
[
0,
1,
2,
3
] | 80 |
[
4
] | 20 | false | 69.154229 | 5 | 1 | 80 | 1 |
def get_value_filter(self, filter_value):
pass
| 23,001 |
|
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
Facet.is_filtered
|
(self, key, filter_values)
|
return key in filter_values
|
Is a filter active on the given key.
|
Is a filter active on the given key.
| 79 | 83 |
def is_filtered(self, key, filter_values):
"""
Is a filter active on the given key.
"""
return key in filter_values
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L79-L83
| 37 |
[
0,
1,
2,
3
] | 80 |
[
4
] | 20 | false | 69.154229 | 5 | 1 | 80 | 1 |
def is_filtered(self, key, filter_values):
return key in filter_values
| 23,002 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
Facet.get_value
|
(self, bucket)
|
return bucket["key"]
|
return a value representing a bucket. Its key as default.
|
return a value representing a bucket. Its key as default.
| 85 | 89 |
def get_value(self, bucket):
"""
return a value representing a bucket. Its key as default.
"""
return bucket["key"]
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L85-L89
| 37 |
[
0,
1,
2,
3
] | 80 |
[
4
] | 20 | false | 69.154229 | 5 | 1 | 80 | 1 |
def get_value(self, bucket):
return bucket["key"]
| 23,003 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
Facet.get_metric
|
(self, bucket)
|
return bucket["doc_count"]
|
Return a metric, by default doc_count for a bucket.
|
Return a metric, by default doc_count for a bucket.
| 91 | 97 |
def get_metric(self, bucket):
"""
Return a metric, by default doc_count for a bucket.
"""
if self._metric:
return bucket["metric"]["value"]
return bucket["doc_count"]
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L91-L97
| 37 |
[
0,
1,
2,
3
] | 57.142857 |
[
4,
5,
6
] | 42.857143 | false | 69.154229 | 7 | 2 | 57.142857 | 1 |
def get_metric(self, bucket):
if self._metric:
return bucket["metric"]["value"]
return bucket["doc_count"]
| 23,004 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
Facet.get_values
|
(self, data, filter_values)
|
return out
|
Turn the raw bucket data into a list of tuples containing the key,
number of documents and a flag indicating whether this value has been
selected or not.
|
Turn the raw bucket data into a list of tuples containing the key,
number of documents and a flag indicating whether this value has been
selected or not.
| 99 | 111 |
def get_values(self, data, filter_values):
"""
Turn the raw bucket data into a list of tuples containing the key,
number of documents and a flag indicating whether this value has been
selected or not.
"""
out = []
for bucket in data.buckets:
key = self.get_value(bucket)
out.append(
(key, self.get_metric(bucket), self.is_filtered(key, filter_values))
)
return out
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L99-L111
| 37 |
[
0,
1,
2,
3,
4,
5
] | 46.153846 |
[
6,
7,
8,
9,
12
] | 38.461538 | false | 69.154229 | 13 | 2 | 61.538462 | 3 |
def get_values(self, data, filter_values):
out = []
for bucket in data.buckets:
key = self.get_value(bucket)
out.append(
(key, self.get_metric(bucket), self.is_filtered(key, filter_values))
)
return out
| 23,005 |
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
TermsFacet.add_filter
|
(self, filter_values)
|
Create a terms filter instead of bool containing term filters.
|
Create a terms filter instead of bool containing term filters.
| 117 | 122 |
def add_filter(self, filter_values):
"""Create a terms filter instead of bool containing term filters."""
if filter_values:
return Terms(
_expand__to_dot=False, **{self._params["field"]: filter_values}
)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L117-L122
| 37 |
[
0,
1,
2,
3,
4,
5
] | 100 |
[] | 0 | true | 69.154229 | 6 | 2 | 100 | 1 |
def add_filter(self, filter_values):
if filter_values:
return Terms(
_expand__to_dot=False, **{self._params["field"]: filter_values}
)
| 23,006 |
|
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
RangeFacet._range_to_dict
|
(self, range)
|
return out
| 128 | 135 |
def _range_to_dict(self, range):
key, range = range
out = {"key": key}
if range[0] is not None:
out["from"] = range[0]
if range[1] is not None:
out["to"] = range[1]
return out
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L128-L135
| 37 |
[
0
] | 12.5 |
[
1,
2,
3,
4,
5,
6,
7
] | 87.5 | false | 69.154229 | 8 | 3 | 12.5 | 0 |
def _range_to_dict(self, range):
key, range = range
out = {"key": key}
if range[0] is not None:
out["from"] = range[0]
if range[1] is not None:
out["to"] = range[1]
return out
| 23,007 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
RangeFacet.__init__
|
(self, ranges, **kwargs)
| 137 | 141 |
def __init__(self, ranges, **kwargs):
super().__init__(**kwargs)
self._params["ranges"] = list(map(self._range_to_dict, ranges))
self._params["keyed"] = False
self._ranges = dict(ranges)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L137-L141
| 37 |
[
0
] | 20 |
[
1,
2,
3,
4
] | 80 | false | 69.154229 | 5 | 1 | 20 | 0 |
def __init__(self, ranges, **kwargs):
super().__init__(**kwargs)
self._params["ranges"] = list(map(self._range_to_dict, ranges))
self._params["keyed"] = False
self._ranges = dict(ranges)
| 23,008 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
RangeFacet.get_value_filter
|
(self, filter_value)
|
return Range(_expand__to_dot=False, **{self._params["field"]: limits})
| 143 | 151 |
def get_value_filter(self, filter_value):
f, t = self._ranges[filter_value]
limits = {}
if f is not None:
limits["gte"] = f
if t is not None:
limits["lt"] = t
return Range(_expand__to_dot=False, **{self._params["field"]: limits})
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L143-L151
| 37 |
[
0
] | 11.111111 |
[
1,
2,
3,
4,
5,
6,
8
] | 77.777778 | false | 69.154229 | 9 | 3 | 22.222222 | 0 |
def get_value_filter(self, filter_value):
f, t = self._ranges[filter_value]
limits = {}
if f is not None:
limits["gte"] = f
if t is not None:
limits["lt"] = t
return Range(_expand__to_dot=False, **{self._params["field"]: limits})
| 23,009 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
HistogramFacet.get_value_filter
|
(self, filter_value)
|
return Range(
_expand__to_dot=False,
**{
self._params["field"]: {
"gte": filter_value,
"lt": filter_value + self._params["interval"],
}
},
)
| 157 | 166 |
def get_value_filter(self, filter_value):
return Range(
_expand__to_dot=False,
**{
self._params["field"]: {
"gte": filter_value,
"lt": filter_value + self._params["interval"],
}
},
)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L157-L166
| 37 |
[
0
] | 10 |
[
1
] | 10 | false | 69.154229 | 10 | 1 | 90 | 0 |
def get_value_filter(self, filter_value):
return Range(
_expand__to_dot=False,
**{
self._params["field"]: {
"gte": filter_value,
"lt": filter_value + self._params["interval"],
}
},
)
| 23,010 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
DateHistogramFacet.__init__
|
(self, **kwargs)
| 207 | 209 |
def __init__(self, **kwargs):
kwargs.setdefault("min_doc_count", 0)
super().__init__(**kwargs)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L207-L209
| 37 |
[
0,
1,
2
] | 100 |
[] | 0 | true | 69.154229 | 3 | 1 | 100 | 0 |
def __init__(self, **kwargs):
kwargs.setdefault("min_doc_count", 0)
super().__init__(**kwargs)
| 23,011 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
DateHistogramFacet.get_value
|
(self, bucket)
| 211 | 220 |
def get_value(self, bucket):
if not isinstance(bucket["key"], datetime):
# Elasticsearch returns key=None instead of 0 for date 1970-01-01,
# so we need to set key to 0 to avoid TypeError exception
if bucket["key"] is None:
bucket["key"] = 0
# Preserve milliseconds in the datetime
return datetime.utcfromtimestamp(int(bucket["key"]) / 1000.0)
else:
return bucket["key"]
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L211-L220
| 37 |
[
0,
1,
2,
3,
4,
5,
6,
7
] | 80 |
[
9
] | 10 | false | 69.154229 | 10 | 3 | 90 | 0 |
def get_value(self, bucket):
if not isinstance(bucket["key"], datetime):
# Elasticsearch returns key=None instead of 0 for date 1970-01-01,
# so we need to set key to 0 to avoid TypeError exception
if bucket["key"] is None:
bucket["key"] = 0
# Preserve milliseconds in the datetime
return datetime.utcfromtimestamp(int(bucket["key"]) / 1000.0)
else:
return bucket["key"]
| 23,012 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
DateHistogramFacet.get_value_filter
|
(self, filter_value)
|
return Range(
_expand__to_dot=False,
**{
self._params["field"]: {
"gte": filter_value,
"lt": self.DATE_INTERVALS[self._params[interval_type]](
filter_value
),
}
},
)
| 222 | 239 |
def get_value_filter(self, filter_value):
for interval_type in ("calendar_interval", "fixed_interval"):
if interval_type in self._params:
break
else:
interval_type = "interval"
return Range(
_expand__to_dot=False,
**{
self._params["field"]: {
"gte": filter_value,
"lt": self.DATE_INTERVALS[self._params[interval_type]](
filter_value
),
}
},
)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L222-L239
| 37 |
[
0,
1,
2,
3,
5,
6,
7
] | 38.888889 |
[] | 0 | false | 69.154229 | 18 | 3 | 100 | 0 |
def get_value_filter(self, filter_value):
for interval_type in ("calendar_interval", "fixed_interval"):
if interval_type in self._params:
break
else:
interval_type = "interval"
return Range(
_expand__to_dot=False,
**{
self._params["field"]: {
"gte": filter_value,
"lt": self.DATE_INTERVALS[self._params[interval_type]](
filter_value
),
}
},
)
| 23,013 |
||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
NestedFacet.__init__
|
(self, path, nested_facet)
| 245 | 248 |
def __init__(self, path, nested_facet):
self._path = path
self._inner = nested_facet
super().__init__(path=path, aggs={"inner": nested_facet.get_aggregation()})
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L245-L248
| 37 |
[
0
] | 25 |
[
1,
2,
3
] | 75 | false | 69.154229 | 4 | 1 | 25 | 0 |
def __init__(self, path, nested_facet):
self._path = path
self._inner = nested_facet
super().__init__(path=path, aggs={"inner": nested_facet.get_aggregation()})
| 23,014 |
|||
elastic/elasticsearch-dsl-py
|
5874ff6bd5a7a77086539159f041eb979b5235cc
|
elasticsearch_dsl/faceted_search.py
|
NestedFacet.get_values
|
(self, data, filter_values)
|
return self._inner.get_values(data.inner, filter_values)
| 250 | 251 |
def get_values(self, data, filter_values):
return self._inner.get_values(data.inner, filter_values)
|
https://github.com/elastic/elasticsearch-dsl-py/blob/5874ff6bd5a7a77086539159f041eb979b5235cc/project37/elasticsearch_dsl/faceted_search.py#L250-L251
| 37 |
[
0
] | 50 |
[
1
] | 50 | false | 69.154229 | 2 | 1 | 50 | 0 |
def get_values(self, data, filter_values):
return self._inner.get_values(data.inner, filter_values)
| 23,015 |
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