def test_delete_indexes_if_unchanged(self, api_key, endpoint, index_name,
**kwargs):
client = SearchIndexClient(endpoint, AzureKeyCredential(api_key))
# First create an index
name = "hotels"
fields = [{
"name": "hotelId",
"type": "Edm.String",
"key": True,
"searchable": False
}, {
"name": "baseRate",
"type": "Edm.Double"
}]
scoring_profile = ScoringProfile(name="MyProfile")
scoring_profiles = []
scoring_profiles.append(scoring_profile)
cors_options = CorsOptions(allowed_origins=["*"],
max_age_in_seconds=60)
index = SearchIndex(name=name,
fields=fields,
scoring_profiles=scoring_profiles,
cors_options=cors_options)
result = client.create_index(index)
etag = result.e_tag
# get e tag and update
index.scoring_profiles = []
client.create_or_update_index(index)
index.e_tag = etag
with pytest.raises(HttpResponseError):
client.delete_index(index,
match_condition=MatchConditions.IfNotModified)
def test_delete_indexes(self, api_key, endpoint, index_name, **kwargs):
client = SearchIndexClient(endpoint, AzureKeyCredential(api_key))
client.delete_index(index_name)
import time
if self.is_live:
time.sleep(TIME_TO_SLEEP)
result = client.list_indexes()
with pytest.raises(StopIteration):
next(result)
def _clean_up_indexes(endpoint, api_key):
from azure.search.documents.indexes import SearchIndexClient
client = SearchIndexClient(endpoint, AzureKeyCredential(api_key))
# wipe the synonym maps which seem to survive the index
for map in client.get_synonym_maps():
client.delete_synonym_map(map.name)
# wipe any existing indexes
for index in client.list_indexes():
client.delete_index(index)
def dispmsg(self):
name_label2 = ttk.Label(self.window,
text = "File with the queried intents is downloaded at " + str(self.name_var.get()),
font=('Times New Roman', 10, 'normal'))
name_label2.grid(row=10,column=1,padx = 5, pady = 10)
if str(self.name_var1.get()) != '':
learning = 'active'
Data,UserFnames = Read_Files(str(self.name_var.get()), learning=learning, vertical= str(self.vertical.get()).lower())
Data_Frame = pd.DataFrame(Data, columns = ['FileName', 'FilePath', 'Text'])
Data_Frame = NER(Data_Frame)
kf = []
for ind in Data_Frame.index:
text = Data_Frame['Text'][ind]
tr4w = TextRank4Keyword()
tr4w.analyze(text, candidate_pos = ['NOUN', 'PROPN'], window_size=4, lower=False)
kf.append(tr4w.get_keywords(100))
Data_Frame['KeyPhrases'] = kf
name = str(self.vertical.get()).lower()
endpoint = "https://<EndPoint>.search.windows.net"
key = "<Cognitive search key>"
if name == 'default':
create_index(name, endpoint, key)
upload_docs(Data_Frame=Data_Frame, index_name= name, endpoint=endpoint, key=key)
result = search(rootdir=str(self.name_var.get()),
Query=str(self.name_var1.get()), index_name=name,
endpoint=endpoint, key= key, fnames = UserFnames,
vertical=str(self.vertical.get()).lower())
if name == 'default':
from azure.search.documents.indexes import SearchIndexClient
from azure.core.credentials import AzureKeyCredential
client = SearchIndexClient(endpoint, AzureKeyCredential(key))
client.delete_index(name)
elif str(self.name_var1.get()) == '' and str(self.classes.get()) != 'None':
learning = 'passive'
Data,UserFnames = Read_Files(str(self.name_var.get()), learning=learning, vertical= None)
Data_Frame = pd.DataFrame(Data, columns = ['FileName', 'FilePath', 'Text'])
result = classifier(dataframe=Data_Frame, classs=str(self.classes.get()), rootdir=str(self.name_var.get()))
else:
pass
