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[Search] Update SearchClient.search API (Azure#20602)
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* Update SearchClient.search API.

* Update CHANGELOG and async SearchClient.

* Update parameter parsing for omitted values.

* Code review comments and linter fixes.
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tjprescott authored Sep 13, 2021
1 parent 4048684 commit b7b7e36
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6 changes: 6 additions & 0 deletions sdk/search/azure-search-documents/CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -4,8 +4,14 @@

### Features Added

- Added properties to `SearchClient`: `query_answer`, `query_answer_count`,
`query_caption`, `query_caption_highlight` and `semantic_fields`.

### Breaking Changes

- Renamed `SearchClient.speller` to `SearchClient.query_speller`.
- Removed keyword arguments from `SearchClient`: `answers` and `captions`.

### Bugs Fixed

### Other Changes
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Original file line number Diff line number Diff line change
Expand Up @@ -152,7 +152,7 @@ def get_document(self, key, selected_fields=None, **kwargs):
return cast(dict, result)

@distributed_trace
def search(self, search_text, **kwargs):
def search(self, search_text, **kwargs): # pylint:disable=too-many-locals
# type: (str, **Any) -> SearchItemPaged[dict]
"""Search the Azure search index for documents.
Expand Down Expand Up @@ -200,12 +200,23 @@ def search(self, search_text, **kwargs):
:keyword query_language: A value that specifies the language of the search query. Possible values
include: "none", "en-us".
:paramtype query_language: str or ~azure.search.documents.models.QueryLanguage
:keyword speller: A value that specified the type of the speller to use to spell-correct
:keyword query_speller: A value that specified the type of the speller to use to spell-correct
individual search query terms. Possible values include: "none", "lexicon".
:paramtype speller: str or ~azure.search.documents.models.Speller
:keyword answers: A value that specifies whether answers should be returned as part of the search
response. Possible values include: "none", "extractive".
:paramtype answers: str or ~azure.search.documents.models.Answers
:paramtype query_speller: str or ~azure.search.documents.models.Speller
:keyword query_answer: This parameter is only valid if the query type is 'semantic'. If set,
the query returns answers extracted from key passages in the highest ranked documents.
Possible values include: "none", "extractive".
:paramtype query_answer: str or ~azure.search.documents.models.Answers
:keyword int query_answer_count: This parameter is only valid if the query type is 'semantic' and
query answer is 'extractive'. Configures the number of answers returned. Default count is 1.
:keyword query_caption: This parameter is only valid if the query type is 'semantic'. If set, the
query returns captions extracted from key passages in the highest ranked documents.
Defaults to 'None'. Possible values include: "none", "extractive".
:paramtype query_caption: str or ~azure.search.documents.models.Captions
:keyword bool query_caption_highlight: This parameter is only valid if the query type is 'semantic' when
query caption is set to 'extractive'. Determines whether highlighting is enabled.
Defaults to 'true'.
:keyword list[str] semantic_fields: The list of field names used for semantic search.
:keyword list[str] select: The list of fields to retrieve. If unspecified, all fields marked as retrievable
in the schema are included.
:keyword int skip: The number of search results to skip. This value cannot be greater than 100,000.
Expand Down Expand Up @@ -259,11 +270,25 @@ def search(self, search_text, **kwargs):
search_fields_str = ",".join(search_fields) if search_fields else None
search_mode = kwargs.pop("search_mode", None)
query_language = kwargs.pop("query_language", None)
speller = kwargs.pop("speller", None)
answers = kwargs.pop("answers", None)
query_speller = kwargs.pop("query_speller", None)
select = kwargs.pop("select", None)
skip = kwargs.pop("skip", None)
top = kwargs.pop("top", None)

query_answer = kwargs.pop("query_answer", None)
query_answer_count = kwargs.pop("query_answer_count", None)
answers = query_answer if not query_answer_count else '{}|count-{}'.format(
query_answer, query_answer_count
)

query_caption = kwargs.pop("query_caption", None)
query_caption_highlight = kwargs.pop("query_caption_highlight", None)
captions = query_caption if not query_caption_highlight else '{}|highlight-{}'.format(
query_caption, query_caption_highlight
)

semantic_fields = kwargs.pop("semantic_fields", None)

query = SearchQuery(
search_text=search_text,
include_total_result_count=include_total_result_count,
Expand All @@ -280,8 +305,10 @@ def search(self, search_text, **kwargs):
search_fields=search_fields_str,
search_mode=search_mode,
query_language=query_language,
speller=speller,
speller=query_speller,
answers=answers,
captions=captions,
semantic_fields=",".join(semantic_fields) if semantic_fields else None,
select=select if isinstance(select, six.string_types) else None,
skip=skip,
top=top,
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Original file line number Diff line number Diff line change
Expand Up @@ -128,8 +128,9 @@ async def get_document(self, key, selected_fields=None, **kwargs):
)
return cast(dict, result)


@distributed_trace_async
async def search(self, search_text, **kwargs):
async def search(self, search_text, **kwargs): # pylint:disable=too-many-locals
# type: (str, **Any) -> AsyncSearchItemPaged[dict]
"""Search the Azure search index for documents.
Expand Down Expand Up @@ -177,12 +178,24 @@ async def search(self, search_text, **kwargs):
:keyword query_language: A value that specifies the language of the search query. Possible values
include: "none", "en-us".
:paramtype query_language: str or ~azure.search.documents.models.QueryLanguage
:keyword speller: A value that specified the type of the speller to use to spell-correct
:keyword query_speller: A value that specified the type of the speller to use to spell-correct
individual search query terms. Possible values include: "none", "lexicon".
:paramtype speller: str or ~azure.search.documents.models.Speller
:keyword answers: A value that specifies whether answers should be returned as part of the search
response. Possible values include: "none", "extractive".
:paramtype answers: str or ~azure.search.documents.models.Answers
:paramtype query_speller: str or ~azure.search.documents.models.Speller
:keyword query_answer: This parameter is only valid if the query type is 'semantic'. If set,
the query returns answers extracted from key passages in the highest ranked documents.
Possible values include: "none", "extractive".
:paramtype query_answer: str or ~azure.search.documents.models.Answers
:keyword int query_answer_count: This parameter is only valid if the query type is 'semantic' and
query answer is 'extractive'.
Configures the number of answers returned. Default count is 1.
:keyword query_caption: This parameter is only valid if the query type is 'semantic'. If set, the
query returns captions extracted from key passages in the highest ranked documents.
Defaults to 'None'. Possible values include: "none", "extractive".
:paramtype query_caption: str or ~azure.search.documents.models.Captions
:keyword bool query_caption_highlight: This parameter is only valid if the query type is 'semantic' when
query caption is set to 'extractive'. Determines whether highlighting is enabled.
Defaults to 'true'.
:keyword list[str] semantic_fields: The list of field names used for semantic search.
:keyword list[str] select: The list of fields to retrieve. If unspecified, all fields marked as retrievable
in the schema are included.
:keyword int skip: The number of search results to skip. This value cannot be greater than 100,000.
Expand Down Expand Up @@ -236,11 +249,25 @@ async def search(self, search_text, **kwargs):
search_fields_str = ",".join(search_fields) if search_fields else None
search_mode = kwargs.pop("search_mode", None)
query_language = kwargs.pop("query_language", None)
speller = kwargs.pop("speller", None)
answers = kwargs.pop("answers", None)
query_speller = kwargs.pop("query_speller", None)
select = kwargs.pop("select", None)
skip = kwargs.pop("skip", None)
top = kwargs.pop("top", None)

query_answer = kwargs.pop("query_answer", None)
query_answer_count = kwargs.pop("query_answer_count", None)
answers = query_answer if not query_answer_count else '{}|count-{}'.format(
query_answer, query_answer_count
)

query_caption = kwargs.pop("query_caption", None)
query_caption_highlight = kwargs.pop("query_caption_highlight", None)
captions = query_caption if not query_caption_highlight else '{}|highlight-{}'.format(
query_caption, query_caption_highlight
)

semantic_fields = kwargs.pop("semantic_fields", None)

query = SearchQuery(
search_text=search_text,
include_total_result_count=include_total_result_count,
Expand All @@ -257,8 +284,10 @@ async def search(self, search_text, **kwargs):
search_fields=search_fields_str,
search_mode=search_mode,
query_language=query_language,
speller=speller,
speller=query_speller,
answers=answers,
captions=captions,
semantic_fields=",".join(semantic_fields) if semantic_fields else None,
select=select if isinstance(select, six.string_types) else None,
skip=skip,
top=top,
Expand Down

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