def __init__(self, project, bucket, creds=None, google_api_lock=None):
self.project = project
self.bucket = bucket
self.google_api_lock = google_api_lock or threading.RLock()
self.access_token = Token(service_file=creds,
google_api_lock=self.google_api_lock,
scopes=SCOPES)
def __init__(self, project, keyring, keyname, creds=None,
google_api_lock=None, location=LOCATION):
# pylint: disable=too-many-arguments
self.api_root = ('{}/projects/{}/locations/{}/keyRings/{}/'
'cryptoKeys/{}'.format(API_ROOT, project, location,
keyring, keyname))
self.google_api_lock = google_api_lock or threading.RLock()
self.access_token = Token(creds=creds,
google_api_lock=self.google_api_lock,
scopes=SCOPES)
def __init__(self, project, taskqueue, creds=None, google_api_lock=None,
location=LOCATION):
# pylint: disable=too-many-arguments
self.api_root = '{}/projects/{}/locations/{}/queues/{}'.format(
API_ROOT, project, location, taskqueue)
self.google_api_lock = google_api_lock or threading.RLock()
self.access_token = Token(creds=creds,
google_api_lock=self.google_api_lock,
scopes=SCOPES)
self.default_header = {
'Accept': 'application/json',
'Content-Length': '0',
}
def __init__(self,
project=None, # type: Optional[str]
service_file=None, # type: Optional[str]
namespace='', # type: str
session=None, # type: Optional[requests.Session]
token=None, # type: Optional[Token]
google_api_lock=None, # type: Optional[threading.RLock]
):
# type: (...) -> None
self.namespace = namespace
self.session = session
self.google_api_lock = google_api_lock or threading.RLock()
if IS_DEV:
self._project = os.environ.get('DATASTORE_PROJECT_ID', 'dev')
# Tokens are not needed when using dev emulator
self.token = None
else:
self._project = project
self.token = token or Token(service_file=service_file,
session=session, scopes=SCOPES)
from google.cloud import language
from google.cloud.language import enums, types
#Authentication import
from gcloud.aio.auth import IamClient
from gcloud.rest.auth import Token
client = IamClient()
pubkeys = await client.list_public_keys()
token = Token()
print(token.get())
print("-----------------")
def analyze_text_sentiment(text):
client = language.LanguageServiceClient()
document = types.Document(
content=text,
type=enums.Document.Type.PLAIN_TEXT)
response = client.analyze_sentiment(document=document)
sentiment = response.document_sentiment
results = [
('text', text),
('score', sentiment.score),
('magnitude', sentiment.magnitude),
]
for k, v in results:
print('{:10}: {}'.format(k, v))