def upload_file_azureml(ws, ws_id, ws_token, file_path, azure_file_name, endpoint=None):
"""
Note: this func only works for small datasets...
:param ws:
:param df:
:param df_name:
:param df_description:
:return:
"""
@services.attach((file_path, azure_file_name))
def f(): pass
try:
attachment = services.attach((file_path, azure_file_name))(f)
result = services.publish(attachment, ws_id, ws_token)
#result = services.publish(f, WORKSPACE_ID, AUTH_TOKEN)
print(result)
print_user_ds(ws)
except AzureMLConflictHttpError as err:
msg = 'AzureML is complaining that Dataset already exists: {0}'\
.format(err)
print(msg)
except Exception as err:
msg = 'Error while trying to upload \'{0}\': {1}'\
.format(file_path, err)
print(msg)
@services.types(a = int, b = int)
@services.returns(int)
def dataframe_int(a, b):
pass
## style 1, define a function and call the publish API explicitly.
# style 1, define a function and publish it with a decorator
@services.publish(TEST_WS, TEST_KEY, endpoint=ENDPOINT)
def myfunc(a, b):
return [a + b + a, a - b * b, a * b * a, a / b]
# style 2, define a function and call the publish API explicitly.
def myfunc2(a, b):
return [a + b, a - b, a * b, a / b]
published = services.publish(myfunc2, TEST_WS, TEST_KEY, endpoint=ENDPOINT)
# style 1, kw args
@services.publish(TEST_WS, TEST_KEY, endpoint=ENDPOINT)
def kwargs(**args):
return args
if hasattr(dataframe, 'service'):
@services.service(dataframe.service.url, dataframe.service.api_key)
@services.types(a=int, b=int)
@services.returns(int)
def dataframe_int(a, b):
pass
## style 1, define a function and call the publish API explicitly.
# style 1, define a function and publish it with a decorator
@services.publish(TEST_WS, TEST_KEY, endpoint=ENDPOINT)
def myfunc(a, b):
return [a + b + a, a - b * b, a * b * a, a / b]
# style 2, define a function and call the publish API explicitly.
def myfunc2(a, b):
return [a + b, a - b, a * b, a / b]
published = services.publish(myfunc2, TEST_WS, TEST_KEY, endpoint=ENDPOINT)
# style 1, kw args
@services.publish(TEST_WS, TEST_KEY, endpoint=ENDPOINT)
def kwargs(**args):
return args
"neptune": Neptune.position_at(t),
}
if __name__ == '__main__':
# If we're running directly, we want to publish the service and
# wait for it to finish, then display the URL and the key.
# TODO: Refactor into own function
from azureml.services import publish
from util import wait_for_service
import webbrowser
print 'You will require an Azure Machine Learning workspace to deploy the service.'
print
if raw_input('Create a free workspace now? [y/N] ').startswith('y'):
print 'Opening web browser. Log in with a Microsoft Account and access your workspace ID'
print 'and authorization token from Settings.'
webbrowser.open('https://studio.azureml.net/Home')
workspace_id = raw_input('Please enter your workspace id:')
auth_token = raw_input('Please enter your authorization token:')
service = publish(get_all_planets, workspace_id, auth_token, files=[('vsop.zip', None)])
print service.url
print service.api_key
wait_for_service(service, 2010, 1, 1)
print "Press enter to close . . ."
raw_input()
if __name__ == '__main__':
# If we're running directly, we want to publish the service and
# wait for it to finish, then display the URL and the key.
# TODO: Refactor into own function
from azureml.services import publish
from util import wait_for_service
import webbrowser
print 'You will require an Azure Machine Learning workspace to deploy the service.'
print
if raw_input('Create a free workspace now? [y/N] ').startswith('y'):
print 'Opening web browser. Log in with a Microsoft Account and access your workspace ID'
print 'and authorization token from Settings.'
webbrowser.open('https://studio.azureml.net/Home')
workspace_id = raw_input('Please enter your workspace id: ')
auth_token = raw_input('Please enter your authorization token: ')
with open(r'packages\vsop.zip', 'rb') as vsop_file:
vsop_content = vsop_file.read()
service = publish(get_all_planets, workspace_id, auth_token, files=[('vsop.zip', vsop_content)])
print service.url
print service.api_key
wait_for_service(service, 2010, 1, 1)
print "Press enter to close . . ."
raw_input()
