# Licensed to Elasticsearch B.V. under one or more contributor # license agreements. See the NOTICE file distributed with # this work for additional information regarding copyright # ownership. Elasticsearch B.V. licenses this file to you under # the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, # software distributed under the License is distributed on an # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY # KIND, either express or implied. See the License for the # specific language governing permissions and limitations # under the License. import typing as t from elastic_transport import ObjectApiResponse from ._base import NamespacedClient from .utils import SKIP_IN_PATH, _quote, _rewrite_parameters class AsyncSearchClient(NamespacedClient): @_rewrite_parameters() def delete( self, *, id: str, error_trace: t.Optional[bool] = None, filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None, human: t.Optional[bool] = None, pretty: t.Optional[bool] = None, ) -> ObjectApiResponse[t.Any]: """ .. raw:: html

Delete an async search.

If the asynchronous search is still running, it is cancelled. Otherwise, the saved search results are deleted. If the Elasticsearch security features are enabled, the deletion of a specific async search is restricted to: the authenticated user that submitted the original search request; users that have the cancel_task cluster privilege.

``_ :param id: A unique identifier for the async search. """ if id in SKIP_IN_PATH: raise ValueError("Empty value passed for parameter 'id'") __path_parts: t.Dict[str, str] = {"id": _quote(id)} __path = f'/_async_search/{__path_parts["id"]}' __query: t.Dict[str, t.Any] = {} if error_trace is not None: __query["error_trace"] = error_trace if filter_path is not None: __query["filter_path"] = filter_path if human is not None: __query["human"] = human if pretty is not None: __query["pretty"] = pretty __headers = {"accept": "application/json"} return self.perform_request( # type: ignore[return-value] "DELETE", __path, params=__query, headers=__headers, endpoint_id="async_search.delete", path_parts=__path_parts, ) @_rewrite_parameters() def get( self, *, id: str, error_trace: t.Optional[bool] = None, filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None, human: t.Optional[bool] = None, keep_alive: t.Optional[t.Union[str, t.Literal[-1], t.Literal[0]]] = None, pretty: t.Optional[bool] = None, typed_keys: t.Optional[bool] = None, wait_for_completion_timeout: t.Optional[ t.Union[str, t.Literal[-1], t.Literal[0]] ] = None, ) -> ObjectApiResponse[t.Any]: """ .. raw:: html

Get async search results.

Retrieve the results of a previously submitted asynchronous search request. If the Elasticsearch security features are enabled, access to the results of a specific async search is restricted to the user or API key that submitted it.

``_ :param id: A unique identifier for the async search. :param keep_alive: The length of time that the async search should be available in the cluster. When not specified, the `keep_alive` set with the corresponding submit async request will be used. Otherwise, it is possible to override the value and extend the validity of the request. When this period expires, the search, if still running, is cancelled. If the search is completed, its saved results are deleted. :param typed_keys: Specify whether aggregation and suggester names should be prefixed by their respective types in the response :param wait_for_completion_timeout: Specifies to wait for the search to be completed up until the provided timeout. Final results will be returned if available before the timeout expires, otherwise the currently available results will be returned once the timeout expires. By default no timeout is set meaning that the currently available results will be returned without any additional wait. """ if id in SKIP_IN_PATH: raise ValueError("Empty value passed for parameter 'id'") __path_parts: t.Dict[str, str] = {"id": _quote(id)} __path = f'/_async_search/{__path_parts["id"]}' __query: t.Dict[str, t.Any] = {} if error_trace is not None: __query["error_trace"] = error_trace if filter_path is not None: __query["filter_path"] = filter_path if human is not None: __query["human"] = human if keep_alive is not None: __query["keep_alive"] = keep_alive if pretty is not None: __query["pretty"] = pretty if typed_keys is not None: __query["typed_keys"] = typed_keys if wait_for_completion_timeout is not None: __query["wait_for_completion_timeout"] = wait_for_completion_timeout __headers = {"accept": "application/json"} return self.perform_request( # type: ignore[return-value] "GET", __path, params=__query, headers=__headers, endpoint_id="async_search.get", path_parts=__path_parts, ) @_rewrite_parameters() def status( self, *, id: str, error_trace: t.Optional[bool] = None, filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None, human: t.Optional[bool] = None, keep_alive: t.Optional[t.Union[str, t.Literal[-1], t.Literal[0]]] = None, pretty: t.Optional[bool] = None, ) -> ObjectApiResponse[t.Any]: """ .. raw:: html

Get the async search status.

Get the status of a previously submitted async search request given its identifier, without retrieving search results. If the Elasticsearch security features are enabled, the access to the status of a specific async search is restricted to:

``_ :param id: A unique identifier for the async search. :param keep_alive: The length of time that the async search needs to be available. Ongoing async searches and any saved search results are deleted after this period. """ if id in SKIP_IN_PATH: raise ValueError("Empty value passed for parameter 'id'") __path_parts: t.Dict[str, str] = {"id": _quote(id)} __path = f'/_async_search/status/{__path_parts["id"]}' __query: t.Dict[str, t.Any] = {} if error_trace is not None: __query["error_trace"] = error_trace if filter_path is not None: __query["filter_path"] = filter_path if human is not None: __query["human"] = human if keep_alive is not None: __query["keep_alive"] = keep_alive if pretty is not None: __query["pretty"] = pretty __headers = {"accept": "application/json"} return self.perform_request( # type: ignore[return-value] "GET", __path, params=__query, headers=__headers, endpoint_id="async_search.status", path_parts=__path_parts, ) @_rewrite_parameters( body_fields=( "aggregations", "aggs", "collapse", "docvalue_fields", "explain", "ext", "fields", "from_", "highlight", "indices_boost", "knn", "min_score", "pit", "post_filter", "profile", "query", "rescore", "runtime_mappings", "script_fields", "search_after", "seq_no_primary_term", "size", "slice", "sort", "source", "stats", "stored_fields", "suggest", "terminate_after", "timeout", "track_scores", "track_total_hits", "version", ), parameter_aliases={ "_source": "source", "_source_excludes": "source_excludes", "_source_includes": "source_includes", "from": "from_", }, ) def submit( self, *, index: t.Optional[t.Union[str, t.Sequence[str]]] = None, aggregations: t.Optional[t.Mapping[str, t.Mapping[str, t.Any]]] = None, aggs: t.Optional[t.Mapping[str, t.Mapping[str, t.Any]]] = None, allow_no_indices: t.Optional[bool] = None, allow_partial_search_results: t.Optional[bool] = None, analyze_wildcard: t.Optional[bool] = None, analyzer: t.Optional[str] = None, batched_reduce_size: t.Optional[int] = None, ccs_minimize_roundtrips: t.Optional[bool] = None, collapse: t.Optional[t.Mapping[str, t.Any]] = None, default_operator: t.Optional[t.Union[str, t.Literal["and", "or"]]] = None, df: t.Optional[str] = None, docvalue_fields: t.Optional[t.Sequence[t.Mapping[str, t.Any]]] = None, error_trace: t.Optional[bool] = None, expand_wildcards: t.Optional[ t.Union[ t.Sequence[ t.Union[str, t.Literal["all", "closed", "hidden", "none", "open"]] ], t.Union[str, t.Literal["all", "closed", "hidden", "none", "open"]], ] ] = None, explain: t.Optional[bool] = None, ext: t.Optional[t.Mapping[str, t.Any]] = None, fields: t.Optional[t.Sequence[t.Mapping[str, t.Any]]] = None, filter_path: t.Optional[t.Union[str, t.Sequence[str]]] = None, from_: t.Optional[int] = None, highlight: t.Optional[t.Mapping[str, t.Any]] = None, human: t.Optional[bool] = None, ignore_throttled: t.Optional[bool] = None, ignore_unavailable: t.Optional[bool] = None, indices_boost: t.Optional[t.Sequence[t.Mapping[str, float]]] = None, keep_alive: t.Optional[t.Union[str, t.Literal[-1], t.Literal[0]]] = None, keep_on_completion: t.Optional[bool] = None, knn: t.Optional[ t.Union[t.Mapping[str, t.Any], t.Sequence[t.Mapping[str, t.Any]]] ] = None, lenient: t.Optional[bool] = None, max_concurrent_shard_requests: t.Optional[int] = None, min_score: t.Optional[float] = None, pit: t.Optional[t.Mapping[str, t.Any]] = None, post_filter: t.Optional[t.Mapping[str, t.Any]] = None, preference: t.Optional[str] = None, pretty: t.Optional[bool] = None, profile: t.Optional[bool] = None, q: t.Optional[str] = None, query: t.Optional[t.Mapping[str, t.Any]] = None, request_cache: t.Optional[bool] = None, rescore: t.Optional[ t.Union[t.Mapping[str, t.Any], t.Sequence[t.Mapping[str, t.Any]]] ] = None, rest_total_hits_as_int: t.Optional[bool] = None, routing: t.Optional[str] = None, runtime_mappings: t.Optional[t.Mapping[str, t.Mapping[str, t.Any]]] = None, script_fields: t.Optional[t.Mapping[str, t.Mapping[str, t.Any]]] = None, search_after: t.Optional[ t.Sequence[t.Union[None, bool, float, int, str]] ] = None, search_type: t.Optional[ t.Union[str, t.Literal["dfs_query_then_fetch", "query_then_fetch"]] ] = None, seq_no_primary_term: t.Optional[bool] = None, size: t.Optional[int] = None, slice: t.Optional[t.Mapping[str, t.Any]] = None, sort: t.Optional[ t.Union[ t.Sequence[t.Union[str, t.Mapping[str, t.Any]]], t.Union[str, t.Mapping[str, t.Any]], ] ] = None, source: t.Optional[t.Union[bool, t.Mapping[str, t.Any]]] = None, source_excludes: t.Optional[t.Union[str, t.Sequence[str]]] = None, source_includes: t.Optional[t.Union[str, t.Sequence[str]]] = None, stats: t.Optional[t.Sequence[str]] = None, stored_fields: t.Optional[t.Union[str, t.Sequence[str]]] = None, suggest: t.Optional[t.Mapping[str, t.Any]] = None, suggest_field: t.Optional[str] = None, suggest_mode: t.Optional[ t.Union[str, t.Literal["always", "missing", "popular"]] ] = None, suggest_size: t.Optional[int] = None, suggest_text: t.Optional[str] = None, terminate_after: t.Optional[int] = None, timeout: t.Optional[str] = None, track_scores: t.Optional[bool] = None, track_total_hits: t.Optional[t.Union[bool, int]] = None, typed_keys: t.Optional[bool] = None, version: t.Optional[bool] = None, wait_for_completion_timeout: t.Optional[ t.Union[str, t.Literal[-1], t.Literal[0]] ] = None, body: t.Optional[t.Dict[str, t.Any]] = None, ) -> ObjectApiResponse[t.Any]: """ .. raw:: html

Run an async search.

When the primary sort of the results is an indexed field, shards get sorted based on minimum and maximum value that they hold for that field. Partial results become available following the sort criteria that was requested.

Warning: Asynchronous search does not support scroll or search requests that include only the suggest section.

By default, Elasticsearch does not allow you to store an async search response larger than 10Mb and an attempt to do this results in an error. The maximum allowed size for a stored async search response can be set by changing the search.max_async_search_response_size cluster level setting.

``_ :param index: A comma-separated list of index names to search; use `_all` or empty string to perform the operation on all indices :param aggregations: :param aggs: :param allow_no_indices: Whether to ignore if a wildcard indices expression resolves into no concrete indices. (This includes `_all` string or when no indices have been specified) :param allow_partial_search_results: Indicate if an error should be returned if there is a partial search failure or timeout :param analyze_wildcard: Specify whether wildcard and prefix queries should be analyzed (default: false) :param analyzer: The analyzer to use for the query string :param batched_reduce_size: Affects how often partial results become available, which happens whenever shard results are reduced. A partial reduction is performed every time the coordinating node has received a certain number of new shard responses (5 by default). :param ccs_minimize_roundtrips: The default value is the only supported value. :param collapse: :param default_operator: The default operator for query string query (AND or OR) :param df: The field to use as default where no field prefix is given in the query string :param docvalue_fields: Array of wildcard (*) patterns. The request returns doc values for field names matching these patterns in the hits.fields property of the response. :param expand_wildcards: Whether to expand wildcard expression to concrete indices that are open, closed or both. :param explain: If true, returns detailed information about score computation as part of a hit. :param ext: Configuration of search extensions defined by Elasticsearch plugins. :param fields: Array of wildcard (*) patterns. The request returns values for field names matching these patterns in the hits.fields property of the response. :param from_: Starting document offset. By default, you cannot page through more than 10,000 hits using the from and size parameters. To page through more hits, use the search_after parameter. :param highlight: :param ignore_throttled: Whether specified concrete, expanded or aliased indices should be ignored when throttled :param ignore_unavailable: Whether specified concrete indices should be ignored when unavailable (missing or closed) :param indices_boost: Boosts the _score of documents from specified indices. :param keep_alive: Specifies how long the async search needs to be available. Ongoing async searches and any saved search results are deleted after this period. :param keep_on_completion: If `true`, results are stored for later retrieval when the search completes within the `wait_for_completion_timeout`. :param knn: Defines the approximate kNN search to run. :param lenient: Specify whether format-based query failures (such as providing text to a numeric field) should be ignored :param max_concurrent_shard_requests: The number of concurrent shard requests per node this search executes concurrently. This value should be used to limit the impact of the search on the cluster in order to limit the number of concurrent shard requests :param min_score: Minimum _score for matching documents. Documents with a lower _score are not included in search results and results collected by aggregations. :param pit: Limits the search to a point in time (PIT). If you provide a PIT, you cannot specify an in the request path. :param post_filter: :param preference: Specify the node or shard the operation should be performed on (default: random) :param profile: :param q: Query in the Lucene query string syntax :param query: Defines the search definition using the Query DSL. :param request_cache: Specify if request cache should be used for this request or not, defaults to true :param rescore: :param rest_total_hits_as_int: Indicates whether hits.total should be rendered as an integer or an object in the rest search response :param routing: A comma-separated list of specific routing values :param runtime_mappings: Defines one or more runtime fields in the search request. These fields take precedence over mapped fields with the same name. :param script_fields: Retrieve a script evaluation (based on different fields) for each hit. :param search_after: :param search_type: Search operation type :param seq_no_primary_term: If true, returns sequence number and primary term of the last modification of each hit. See Optimistic concurrency control. :param size: The number of hits to return. By default, you cannot page through more than 10,000 hits using the from and size parameters. To page through more hits, use the search_after parameter. :param slice: :param sort: :param source: Indicates which source fields are returned for matching documents. These fields are returned in the hits._source property of the search response. :param source_excludes: A list of fields to exclude from the returned _source field :param source_includes: A list of fields to extract and return from the _source field :param stats: Stats groups to associate with the search. Each group maintains a statistics aggregation for its associated searches. You can retrieve these stats using the indices stats API. :param stored_fields: List of stored fields to return as part of a hit. If no fields are specified, no stored fields are included in the response. If this field is specified, the _source parameter defaults to false. You can pass _source: true to return both source fields and stored fields in the search response. :param suggest: :param suggest_field: Specifies which field to use for suggestions. :param suggest_mode: Specify suggest mode :param suggest_size: How many suggestions to return in response :param suggest_text: The source text for which the suggestions should be returned. :param terminate_after: Maximum number of documents to collect for each shard. If a query reaches this limit, Elasticsearch terminates the query early. Elasticsearch collects documents before sorting. Defaults to 0, which does not terminate query execution early. :param timeout: Specifies the period of time to wait for a response from each shard. If no response is received before the timeout expires, the request fails and returns an error. Defaults to no timeout. :param track_scores: If true, calculate and return document scores, even if the scores are not used for sorting. :param track_total_hits: Number of hits matching the query to count accurately. If true, the exact number of hits is returned at the cost of some performance. If false, the response does not include the total number of hits matching the query. Defaults to 10,000 hits. :param typed_keys: Specify whether aggregation and suggester names should be prefixed by their respective types in the response :param version: If true, returns document version as part of a hit. :param wait_for_completion_timeout: Blocks and waits until the search is completed up to a certain timeout. When the async search completes within the timeout, the response won’t include the ID as the results are not stored in the cluster. """ __path_parts: t.Dict[str, str] if index not in SKIP_IN_PATH: __path_parts = {"index": _quote(index)} __path = f'/{__path_parts["index"]}/_async_search' else: __path_parts = {} __path = "/_async_search" __query: t.Dict[str, t.Any] = {} __body: t.Dict[str, t.Any] = body if body is not None else {} # The 'sort' parameter with a colon can't be encoded to the body. if sort is not None and ( (isinstance(sort, str) and ":" in sort) or ( isinstance(sort, (list, tuple)) and all(isinstance(_x, str) for _x in sort) and any(":" in _x for _x in sort) ) ): __query["sort"] = sort sort = None if allow_no_indices is not None: __query["allow_no_indices"] = allow_no_indices if allow_partial_search_results is not None: __query["allow_partial_search_results"] = allow_partial_search_results if analyze_wildcard is not None: __query["analyze_wildcard"] = analyze_wildcard if analyzer is not None: __query["analyzer"] = analyzer if batched_reduce_size is not None: __query["batched_reduce_size"] = batched_reduce_size if ccs_minimize_roundtrips is not None: __query["ccs_minimize_roundtrips"] = ccs_minimize_roundtrips if default_operator is not None: __query["default_operator"] = default_operator if df is not None: __query["df"] = df if error_trace is not None: __query["error_trace"] = error_trace if expand_wildcards is not None: __query["expand_wildcards"] = expand_wildcards if filter_path is not None: __query["filter_path"] = filter_path if human is not None: __query["human"] = human if ignore_throttled is not None: __query["ignore_throttled"] = ignore_throttled if ignore_unavailable is not None: __query["ignore_unavailable"] = ignore_unavailable if keep_alive is not None: __query["keep_alive"] = keep_alive if keep_on_completion is not None: __query["keep_on_completion"] = keep_on_completion if lenient is not None: __query["lenient"] = lenient if max_concurrent_shard_requests is not None: __query["max_concurrent_shard_requests"] = max_concurrent_shard_requests if preference is not None: __query["preference"] = preference if pretty is not None: __query["pretty"] = pretty if q is not None: __query["q"] = q if request_cache is not None: __query["request_cache"] = request_cache if rest_total_hits_as_int is not None: __query["rest_total_hits_as_int"] = rest_total_hits_as_int if routing is not None: __query["routing"] = routing if search_type is not None: __query["search_type"] = search_type if source_excludes is not None: __query["_source_excludes"] = source_excludes if source_includes is not None: __query["_source_includes"] = source_includes if suggest_field is not None: __query["suggest_field"] = suggest_field if suggest_mode is not None: __query["suggest_mode"] = suggest_mode if suggest_size is not None: __query["suggest_size"] = suggest_size if suggest_text is not None: __query["suggest_text"] = suggest_text if typed_keys is not None: __query["typed_keys"] = typed_keys if wait_for_completion_timeout is not None: __query["wait_for_completion_timeout"] = wait_for_completion_timeout if not __body: if aggregations is not None: __body["aggregations"] = aggregations if aggs is not None: __body["aggs"] = aggs if collapse is not None: __body["collapse"] = collapse if docvalue_fields is not None: __body["docvalue_fields"] = docvalue_fields if explain is not None: __body["explain"] = explain if ext is not None: __body["ext"] = ext if fields is not None: __body["fields"] = fields if from_ is not None: __body["from"] = from_ if highlight is not None: __body["highlight"] = highlight if indices_boost is not None: __body["indices_boost"] = indices_boost if knn is not None: __body["knn"] = knn if min_score is not None: __body["min_score"] = min_score if pit is not None: __body["pit"] = pit if post_filter is not None: __body["post_filter"] = post_filter if profile is not None: __body["profile"] = profile if query is not None: __body["query"] = query if rescore is not None: __body["rescore"] = rescore if runtime_mappings is not None: __body["runtime_mappings"] = runtime_mappings if script_fields is not None: __body["script_fields"] = script_fields if search_after is not None: __body["search_after"] = search_after if seq_no_primary_term is not None: __body["seq_no_primary_term"] = seq_no_primary_term if size is not None: __body["size"] = size if slice is not None: __body["slice"] = slice if sort is not None: __body["sort"] = sort if source is not None: __body["_source"] = source if stats is not None: __body["stats"] = stats if stored_fields is not None: __body["stored_fields"] = stored_fields if suggest is not None: __body["suggest"] = suggest if terminate_after is not None: __body["terminate_after"] = terminate_after if timeout is not None: __body["timeout"] = timeout if track_scores is not None: __body["track_scores"] = track_scores if track_total_hits is not None: __body["track_total_hits"] = track_total_hits if version is not None: __body["version"] = version if not __body: __body = None # type: ignore[assignment] __headers = {"accept": "application/json"} if __body is not None: __headers["content-type"] = "application/json" return self.perform_request( # type: ignore[return-value] "POST", __path, params=__query, headers=__headers, body=__body, endpoint_id="async_search.submit", path_parts=__path_parts, )