def save_prediction():
'''
This router function saves the prediction results generated from a computed
svm or svr prediction session. During its attempt, it returns a json
string, with the following value:
- integer, codified indicator of save attempt:
- 0, successfully stored the prediction result
- 1, unsuccessfully stored the prediction result
- 2, status was not 'valid'
- 3, improper request submitted
'''
if request.method == 'POST':
# programmatic-interface
if request.get_json():
results = request.get_json()
data = results['data']
# web-interface: double decoder required, since nested encoding
elif request.form:
results = request.form
data = json.loads(json.loads(results['data']))
# invalid request
else:
return json.dumps({'status': 3})
# local variables
status = results['status']
type = results['model_type']
title = results['title']
# save prediction
if status == 'valid':
prediction = Prediction()
result = prediction.save(data, type, title)['result']
# notification: prediction status
if result == 0:
return json.dumps({'status': 0})
else:
return json.dumps({'status': 1})
# notification: status not valid
else:
return json.dumps({'status': 2})
def save_prediction():
'''
This router function saves the prediction results generated from a computed
svm or svr prediction session. During its attempt, it returns a json
string, with the following value:
- integer, codified indicator of save attempt:
- 0, successfully stored the prediction result
- 1, unsuccessfully stored the prediction result
- 2, status was not 'valid'
- 3, improper request submitted
'''
if request.method == 'POST':
# programmatic-interface
if request.get_json():
results = request.get_json()
data = results['data']
# web-interface: double decoder required, since nested encoding
elif request.form:
results = request.form
data = json.loads(json.loads(results['data']))
# invalid request
else:
return json.dumps({'status': 3})
# local variables
status = results['status']
type = results['model_type']
title = results['title']
# save prediction
if status == 'valid':
prediction = Prediction()
result = prediction.save(data, type, title)['result']
# notification: prediction status
if result == 0:
return json.dumps({'status': 0})
else:
return json.dumps({'status': 1})
# notification: status not valid
else:
return json.dumps({'status': 2})
def retrieve_prediction_titles():
'''
This router function retrieves all prediction titles, stored via the
'save_prediction' router function. During its attempt, it returns a json
string, with the following value:
- integer, codified indicator of database query:
- 0, successful retrieval of prediction titles
- 1, unsuccessful retrieval of prediction titles
- 2, improper request submitted
- string, array of prediction titles
'''
if request.method == 'POST':
# programmatic-interface
if request.get_json():
results = request.get_json()
model_type = results['model_type']
# web-interface
elif request.form:
results = request.form
args = json.loads(results['args'])
model_type = args['model_type']
# invalid request
else:
return json.dumps({'status': 2})
# query database
prediction = Prediction()
response = prediction.get_all_titles(model_type)
# return results: datetime is not serializable, without 'default'
# string serializer, for incompatible objects.
#
if response['status']:
return json.dumps({
'status': 0,
'titles': response['result']
},
default=str)
else:
return json.dumps({'status': 1, 'titles': None})
def retrieve_prediction_titles():
'''
This router function retrieves all prediction titles, stored via the
'save_prediction' router function. During its attempt, it returns a json
string, with the following value:
- integer, codified indicator of database query:
- 0, successful retrieval of prediction titles
- 1, unsuccessful retrieval of prediction titles
- 2, improper request submitted
- string, array of prediction titles
'''
if request.method == 'POST':
# programmatic-interface
if request.get_json():
results = request.get_json()
model_type = results['model_type']
# web-interface
elif request.form:
results = request.form
args = json.loads(results['args'])
model_type = args['model_type']
# retrieve all titles
else:
model_type = 'all'
# query database
prediction = Prediction()
response = prediction.get_all_titles(model_type)
# return results: datetime is not serializable, without 'default'
# string serializer, for incompatible objects.
#
if response['status']:
return json.dumps({
'status': 0,
'titles': response['result']
}, default=str)
else:
return json.dumps({'status': 1, 'titles': None})
def retrieve_prediction():
'''
This router function retrieves a specified prediction parameter.
- integer, codified indicator of save attempt:
- 0, successful retrieval of specified prediction parameter
- 1, unsuccessful retrieval of specified prediction parameter
- 2, improper request submitted
- 3, invalid 'model_type'
- string, prediction parameter
'''
if request.method == 'POST':
# programmatic-interface
if request.get_json():
results = request.get_json()
id_result = results['id_result']
# web-interface
elif request.form:
results = request.form
id_result = json.loads(results['id_result'])
# invalid request
else:
return json.dumps({'status': 2})
# query database and return results
prediction = Prediction()
result = prediction.get_result(id_result)
model_type = prediction.get_model_type(id_result)['result']
if model_type == 'svm':
classes = prediction.get_value(id_result, model_type, 'class')
df = prediction.get_value(id_result, model_type, 'decision_function')
prob = prediction.get_value(id_result, model_type, 'probability')
if (
result['status'] and
classes['status'] and
df['status'] and
prob['status']
):
# return results: queried 'decimal' database values, are not
# json serializable, without using the 'default'
# string serializer.
#
return json.dumps({
'status': 0,
'result': result['result'],
'classes': classes['result'],
'decision_function': df['result'],
'probability': prob['result']
}, default=str)
else:
return json.dumps({'status': 1})
elif model_type == 'svr':
coefficient = prediction.get_value(id_result, model_type, 'r2')
if coefficient['status']:
# return results: queried 'decimal' database values, are not
# json serializable, without using the 'default'
# string serializer.
#
return json.dumps({
'status': 0,
'result': result['result'],
'r2': coefficient['result']
}, default=str)
else:
return json.dumps({'status': 1})
else:
return json.dumps({'status': 3})
def retrieve_prediction():
'''
This router function retrieves a specified prediction parameter.
- integer, codified indicator of save attempt:
- 0, successful retrieval of specified prediction parameter
- 1, unsuccessful retrieval of specified prediction parameter
- 2, improper request submitted
- 3, invalid 'model_type'
- string, prediction parameter
'''
if request.method == 'POST':
# programmatic-interface
if request.get_json():
results = request.get_json()
id_result = results['id_result']
# web-interface
elif request.form:
results = request.form
args = json.loads(results['args'])
id_result = args['id_result']
# invalid request
else:
return json.dumps({'status': 2})
# query database and return results
prediction = Prediction()
result = prediction.get_result(id_result)
model_type = prediction.get_model_type(id_result)['result']
if model_type == 'svm':
classes = prediction.get_value(id_result, model_type, 'class')
df = prediction.get_value(id_result, model_type,
'decision_function')
prob = prediction.get_value(id_result, model_type, 'probability')
if (result['status'] and classes['status'] and df['status']
and prob['status']):
# return results: queried 'decimal' database values, are not
# json serializable, without using the 'default'
# string serializer.
#
return json.dumps(
{
'status': 0,
'result': result['result'],
'classes': classes['result'],
'decision_function': df['result'],
'probability': prob['result']
},
default=str)
else:
return json.dumps({'status': 1})
elif model_type == 'svr':
coefficient = prediction.get_value(id_result, model_type, 'r2')
if coefficient['status']:
# return results: queried 'decimal' database values, are not
# json serializable, without using the 'default'
# string serializer.
#
return json.dumps(
{
'status': 0,
'result': result['result'],
'r2': coefficient['result']
},
default=str)
else:
return json.dumps({'status': 1})
else:
return json.dumps({'status': 3})