forked from GoogleCloudPlatform/generative-ai
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathekg_utils.py
75 lines (59 loc) · 2.41 KB
/
ekg_utils.py
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
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
# Copyright 2022 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
#
# 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.
"""Enterprise Knowledge Graph Utilities"""
from collections.abc import Sequence
import json
from google.cloud import enterpriseknowledgegraph as ekg
JSON_INDENT = 2
# pylint: disable=too-many-arguments
def search_public_kg(
project_id: str,
location: str,
search_query: str,
languages: Sequence[str] | None = None,
types: Sequence[str] | None = None,
limit: int | None = None,
) -> tuple:
"""
Make API Request to Public Knowledge Graph.
"""
client = ekg.EnterpriseKnowledgeGraphServiceClient()
# Fully qualified location string, e.g. projects/{project_id}/locations/{location}
parent = client.common_location_path(project=project_id, location=location)
request = ekg.SearchPublicKgRequest(
parent=parent, query=search_query, languages=languages, types=types, limit=limit
)
response = client.search_public_kg(request=request)
request_url = f"https://enterpriseknowledgegraph.googleapis.com/v1/{parent}/publicKnowledgeGraphEntities:Search?query={search_query}" # noqa: E501
request_json = ekg.SearchPublicKgRequest.to_json(
request, including_default_value_fields=False, indent=JSON_INDENT
)
response_json = ekg.SearchPublicKgResponse.to_json(
response, including_default_value_fields=False, indent=JSON_INDENT
)
entities = get_entities(response)
return entities, request_url, request_json, response_json
def get_entities(response: ekg.SearchPublicKgResponse) -> list:
"""
Extract Entities from Knowledge Graph Response
"""
item_list_element = ekg.SearchPublicKgResponse.to_dict(response)[
"item_list_element"
]
entities = []
for element in item_list_element:
result = element["result"]
result["resultJson"] = json.dumps(result, sort_keys=True, indent=JSON_INDENT)
entities.append(result)
return entities