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# -------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
import json
from os.path import dirname, join, realpath
import pytest
from devtools_testutils import AzureMgmtTestCase
from azure_devtools.scenario_tests import ReplayableTest
from search_service_preparer import SearchServicePreparer, SearchResourceGroupPreparer
from azure.core import MatchConditions
from azure.core.credentials import AzureKeyCredential
from azure.core.exceptions import HttpResponseError
from azure.search.documents.indexes.models import(
EntityRecognitionSkill,
InputFieldMappingEntry,
OutputFieldMappingEntry,
SearchIndexerSkillset,
)
from azure.search.documents.indexes import SearchIndexerClient
CWD = dirname(realpath(__file__))
SCHEMA = open(join(CWD, "hotel_schema.json")).read()
try:
BATCH = json.load(open(join(CWD, "hotel_small.json")))
except UnicodeDecodeError:
BATCH = json.load(open(join(CWD, "hotel_small.json"), encoding='utf-8'))
TIME_TO_SLEEP = 5
CONNECTION_STRING = 'DefaultEndpointsProtocol=https;AccountName=storagename;AccountKey=NzhL3hKZbJBuJ2484dPTR+xF30kYaWSSCbs2BzLgVVI1woqeST/1IgqaLm6QAOTxtGvxctSNbIR/1hW8yH+bJg==;EndpointSuffix=core.windows.net'
class SearchSkillsetClientTest(AzureMgmtTestCase):
FILTER_HEADERS = ReplayableTest.FILTER_HEADERS + ['api-key']
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_create_skillset(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
s = EntityRecognitionSkill(inputs=[InputFieldMappingEntry(name="text", source="/document/content")],
outputs=[OutputFieldMappingEntry(name="organizations", target_name="organizations")])
skillset = SearchIndexerSkillset(name='test-ss', skills=list([s]), description="desc")
result = client.create_skillset(skillset)
assert isinstance(result, SearchIndexerSkillset)
assert result.name == "test-ss"
assert result.description == "desc"
assert result.e_tag
assert len(result.skills) == 1
assert isinstance(result.skills[0], EntityRecognitionSkill)
assert len(client.get_skillsets()) == 1
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_delete_skillset(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
s = EntityRecognitionSkill(inputs=[InputFieldMappingEntry(name="text", source="/document/content")],
outputs=[OutputFieldMappingEntry(name="organizations", target_name="organizations")])
skillset = SearchIndexerSkillset(name='test-ss', skills=list([s]), description="desc")
result = client.create_skillset(skillset)
assert len(client.get_skillsets()) == 1
client.delete_skillset("test-ss")
assert len(client.get_skillsets()) == 0
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_delete_skillset_if_unchanged(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
s = EntityRecognitionSkill(inputs=[InputFieldMappingEntry(name="text", source="/document/content")],
outputs=[OutputFieldMappingEntry(name="organizations", target_name="organizations")])
skillset = SearchIndexerSkillset(name='test-ss', skills=list([s]), description="desc")
result = client.create_skillset(skillset)
etag = result.e_tag
skillset = SearchIndexerSkillset(name='test-ss', skills=list([s]), description="updated")
updated = client.create_or_update_skillset(skillset)
updated.e_tag = etag
with pytest.raises(HttpResponseError):
client.delete_skillset(updated, match_condition=MatchConditions.IfNotModified)
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_get_skillset(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
s = EntityRecognitionSkill(inputs=[InputFieldMappingEntry(name="text", source="/document/content")],
outputs=[OutputFieldMappingEntry(name="organizations", target_name="organizations")])
skillset = SearchIndexerSkillset(name='test-ss', skills=list([s]), description="desc")
client.create_skillset(skillset)
assert len(client.get_skillsets()) == 1
result = client.get_skillset("test-ss")
assert isinstance(result, SearchIndexerSkillset)
assert result.name == "test-ss"
assert result.description == "desc"
assert result.e_tag
assert len(result.skills) == 1
assert isinstance(result.skills[0], EntityRecognitionSkill)
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_get_skillsets(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
s = EntityRecognitionSkill(inputs=[InputFieldMappingEntry(name="text", source="/document/content")],
outputs=[OutputFieldMappingEntry(name="organizations", target_name="organizations")])
skillset1 = SearchIndexerSkillset(name='test-ss-1', skills=list([s]), description="desc1")
client.create_skillset(skillset1)
skillset2 = SearchIndexerSkillset(name='test-ss-2', skills=list([s]), description="desc2")
client.create_skillset(skillset2)
result = client.get_skillsets()
assert isinstance(result, list)
assert all(isinstance(x, SearchIndexerSkillset) for x in result)
assert set(x.name for x in result) == {"test-ss-1", "test-ss-2"}
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_create_or_update_skillset(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
s = EntityRecognitionSkill(inputs=[InputFieldMappingEntry(name="text", source="/document/content")],
outputs=[OutputFieldMappingEntry(name="organizations", target_name="organizations")])
skillset1 = SearchIndexerSkillset(name='test-ss', skills=list([s]), description="desc1")
client.create_or_update_skillset(skillset1)
skillset2 = SearchIndexerSkillset(name='test-ss', skills=list([s]), description="desc2")
client.create_or_update_skillset(skillset2)
assert len(client.get_skillsets()) == 1
result = client.get_skillset("test-ss")
assert isinstance(result, SearchIndexerSkillset)
assert result.name == "test-ss"
assert result.description == "desc2"
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_create_or_update_skillset_inplace(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
s = EntityRecognitionSkill(inputs=[InputFieldMappingEntry(name="text", source="/document/content")],
outputs=[OutputFieldMappingEntry(name="organizations", target_name="organizations")])
skillset1 = SearchIndexerSkillset(name='test-ss', skills=list([s]), description="desc1")
ss = client.create_or_update_skillset(skillset1)
skillset2 = SearchIndexerSkillset(name='test-ss', skills=[s], description="desc2", skillset=ss)
client.create_or_update_skillset(skillset2)
assert len(client.get_skillsets()) == 1
result = client.get_skillset("test-ss")
assert isinstance(result, SearchIndexerSkillset)
assert result.name == "test-ss"
assert result.description == "desc2"
@SearchResourceGroupPreparer(random_name_enabled=True)
@SearchServicePreparer(schema=SCHEMA, index_batch=BATCH)
def test_create_or_update_skillset_if_unchanged(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexerClient(endpoint, AzureKeyCredential(api_key))
s = EntityRecognitionSkill(inputs=[InputFieldMappingEntry(name="text", source="/document/content")],
outputs=[OutputFieldMappingEntry(name="organizations", target_name="organizations")])
skillset1 = SearchIndexerSkillset(name='test-ss', skills=list([s]), description="desc1")
ss = client.create_or_update_skillset(skillset1)
etag = ss.e_tag
skillset2 = SearchIndexerSkillset(name='test-ss', skills=[s], description="desc2", skillset=ss)
client.create_or_update_skillset(skillset2)
assert len(client.get_skillsets()) == 1
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