backend_apis/app/utils_search.py (60 lines of code) (raw):
# Copyright 2023 Google LLC
#
# Licensed 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
#
# https://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.
"""
Utility module for Vertex AI Search API
"""
from typing import List, Tuple
from google.cloud import discoveryengine
def complete_query(
search_query: str,
project_id: str,
location: str,
search_engine_id: str,
complete_client: discoveryengine.CompletionServiceClient
) -> List[str]:
"""Completes a search query with suggestions.
Args:
search_query (str):
The search query to complete.
project_id (str):
The ID of the project that owns the search engine.
location (str):
The location of the search engine.
search_engine_id (str):
The ID of the search engine.
complete_client (discoveryengine.CompletionServiceClient):
The completion client.
Returns:
A list of suggested queries.
"""
suggestions_list = []
if len(search_query) > 2:
# The full resource name of the search engine data store
# e.g. projects/*/locations/global/collections/default_collection/dataStores/default_data_store
data_store_path = complete_client.data_store_path(
project=project_id,
location=location,
data_store=search_engine_id
)
# Initialize request argument(s)
request = discoveryengine.CompleteQueryRequest(
data_store=data_store_path,
query=search_query,
)
# Make the request
response = complete_client.complete_query(request=request)
for query_suggestion in response.query_suggestions:
suggestions_list.append(query_suggestion.suggestion)
# Handle the response
return suggestions_list
def search(
search_query: str,
project_id: str,
location: str,
search_engine_id: str,
serving_config_id: str,
search_client: discoveryengine.SearchServiceClient
):
"""Searches for documents that match the given query.
Args:
search_query:
The search query.
project_id:
The ID of the project that owns the search engine.
location:
The location of the search engine.
search_engine_id:
The ID of the search engine.
serving_config_id:
The ID of the serving config.
search_client:
A `discoveryengine.SearchServiceClient` instance.
Returns:
A list of `discoveryengine.SearchResponse.SearchResult` objects.
"""
# The full resource name of the search engine serving config
# e.g. projects/{project_id}/locations/{location}
serving_config = search_client.serving_config_path(
project=project_id,
location=location,
data_store=search_engine_id,
serving_config=serving_config_id,
)
snippet_spec = (
discoveryengine.SearchRequest.ContentSearchSpec.SnippetSpec(
return_snippet=True
)
)
summary_spec = (
discoveryengine.SearchRequest.ContentSearchSpec.SummarySpec(
summary_result_count=3,
include_citations=True,
)
)
content_spec = discoveryengine.SearchRequest.ContentSearchSpec(
snippet_spec=snippet_spec, summary_spec=summary_spec
)
request = discoveryengine.SearchRequest(
serving_config=serving_config,
query=search_query,
content_search_spec=content_spec,
page_size=20,
)
response = search_client.search(request)
return response