def load_data():
'''
This method returns the computed data, resulting from one of the following
implemented session:
- data_new
- data_append
- model_predict
- model_generate
'''
if request.method == 'POST':
# get uploaded form files
if request.files:
files = request.files
else:
files = None
# web-interface: get submitted form data
if request.form:
settings = request.form
sender = Settings(settings, files)
data_formatted = sender.restructure()
# send reformatted data to brain
loader = Load_Data(data_formatted)
if loader.get_session_type()['session_type']:
session_type = loader.get_session_type()['session_type']
if session_type == 'data_new':
response = loader.load_data_new()
elif session_type == 'data_append':
response = loader.load_data_append()
elif session_type == 'model_generate':
response = loader.load_model_generate()
elif session_type == 'model_predict':
response = loader.load_model_predict()
else:
response = loader.get_errors()
else:
response = loader.get_errors()
# return response
return response
def load_data():
'''
This method returns the computed data, resulting from one of the following
implemented session:
- data_new
- data_append
- model_predict
- model_generate
'''
if request.method == 'POST':
# get uploaded form files
if request.files:
files = request.files
else:
files = None
# web-interface: get submitted form data
if request.form:
settings = request.form
sender = Settings(settings, files)
data_formatted = sender.restructure()
# send reformatted data to brain
loader = Load_Data(data_formatted)
if loader.get_session_type()['session_type']:
session_type = loader.get_session_type()['session_type']
if session_type == 'data_new':
response = loader.load_data_new()
elif session_type == 'data_append':
response = loader.load_data_append()
elif session_type == 'model_generate':
response = loader.load_model_generate()
elif session_type == 'model_predict':
response = loader.load_model_predict()
else:
response = loader.get_errors()
else:
response = loader.get_errors()
# return response
return response
def load_data():
'''
This method returns the computed data, resulting from one of the following
implemented session:
- data_new
- data_append
- model_predict
- model_generate
Note: more information on flask-jwt partially protecting routes:
http://flask-jwt-extended.readthedocs.io/en/latest/optional_endpoints.html
'''
if request.method == 'POST':
current_user = get_jwt_identity()
# programmatic-interface
if request.get_json():
# send data to brain
loader = Load_Data(request.get_json(), current_user)
if loader.get_session_type()['session_type']:
session_type = loader.get_session_type()['session_type']
if session_type == 'data_new':
response = loader.load_data_new()
elif session_type == 'data_append':
response = loader.load_data_append()
elif session_type == 'model_generate':
response = loader.load_model_generate()
elif session_type == 'model_predict':
response = loader.load_model_predict()
else:
response = loader.get_errors()
else:
response = loader.get_errors()
# return response
return response
def load_data():
'''
This method returns the computed data, resulting from one of the following
implemented session:
- data_new
- data_append
- model_predict
- model_generate
Note: more information on flask-jwt partially protecting routes:
http://flask-jwt-extended.readthedocs.io/en/latest/optional_endpoints.html
'''
if request.method == 'POST':
current_user = get_jwt_identity()
# programmatic-interface
if request.get_json():
# send data to brain
loader = Load_Data(request.get_json(), current_user)
if loader.get_session_type()['session_type']:
session_type = loader.get_session_type()['session_type']
if session_type == 'data_new':
response = loader.load_data_new()
elif session_type == 'data_append':
response = loader.load_data_append()
elif session_type == 'model_generate':
response = loader.load_model_generate()
elif session_type == 'model_predict':
response = loader.load_model_predict()
else:
response = loader.get_errors()
else:
response = loader.get_errors()
# return response
return response
def load_data():
'''
This method returns the computed data, resulting from one of the following
implemented session:
- data_new
- data_append
- model_predict
- model_generate
'''
if request.method == 'POST':
# load programmatic-interface
if request.get_json():
# get necessary components from the dataset
if 'dataset' in request.get_json():
dataset = request.get_json()['dataset']
else:
dataset = None
settings = request.get_json()['properties']
# restructure the dataset
sender = Restructure_Settings(settings, dataset)
data_formatted = sender.restructure()
# send reformatted data to brain
loader = Load_Data(data_formatted)
if loader.get_session_type()['session_type']:
session_type = loader.get_session_type()['session_type']
if session_type == 'data_new':
response = loader.load_data_new()
elif session_type == 'data_append':
response = loader.load_data_append()
elif session_type == 'model_generate':
response = loader.load_model_generate()
elif session_type == 'model_predict':
response = loader.load_model_predict()
else:
response = loader.get_errors()
else:
response = loader.get_errors()
# return response
return response
# load web-interface
else:
# local variables
files = None
# get uploaded form files
if request.files:
files = request.files
# get submitted form data
if request.form:
settings = request.form
sender = Restructure_Settings(settings, files)
data_formatted = sender.restructure()
# send reformatted data to brain
loader = Load_Data(data_formatted)
if loader.get_session_type()['session_type']:
session_type = loader.get_session_type()['session_type']
if session_type == 'data_new':
response = loader.load_data_new()
elif session_type == 'data_append':
response = loader.load_data_append()
elif session_type == 'model_generate':
response = loader.load_model_generate()
elif session_type == 'model_predict':
response = loader.load_model_predict()
else:
response = loader.get_errors()
else:
response = loader.get_errors()
# return response
return response
def load_data():
'''@load_data
This method returns the computed data, resulting from one of the following
implemented session:
- data_new
- data_append
- model_predict
- model_generate
'''
if request.method == 'POST':
# load programmatic-interface
if request.get_json():
# get necessary components from the dataset
if 'dataset' in request.get_json():
dataset = request.get_json()['dataset']
else:
dataset = None
settings = request.get_json()['properties']
# restructure the dataset
sender = Restructure_Settings(settings, dataset)
data_formatted = sender.restructure()
# send reformatted data to brain
loader = Load_Data(data_formatted)
if loader.get_session_type()['session_type']:
session_type = loader.get_session_type()['session_type']
if session_type == 'data_new':
response = loader.load_data_new()
elif session_type == 'data_append':
response = loader.load_data_append()
elif session_type == 'model_generate':
response = loader.load_model_generate()
elif session_type == 'model_predict':
response = loader.load_model_predict()
else:
response = loader.get_errors()
else:
response = loader.get_errors()
# return response
return json.dumps(response)
# load web-interface
else:
# local variables
files = None
# get uploaded form files
if request.files:
files = request.files
# get submitted form data
if request.form:
settings = request.form
sender = Restructure_Settings(settings, files)
data_formatted = sender.restructure()
# send reformatted data to brain
loader = Load_Data(data_formatted)
if loader.get_session_type()['session_type']:
session_type = loader.get_session_type()['session_type']
if session_type == 'data_new':
response = loader.load_data_new()
elif session_type == 'data_append':
response = loader.load_data_append()
elif session_type == 'model_generate':
response = loader.load_model_generate()
elif session_type == 'model_predict':
response = loader.load_model_predict()
else:
response = loader.get_errors()
else:
response = loader.get_errors()
# return response
return json.dumps(response)