def POST(self):
'''Executes a python client API call identified by its generic name'''
# Get the call name from the HTTP header
call_name = web.input().call_name
# Load the local ontology into the SMART client
smart_client = get_smart_client(ONTOLOGY)
# Figure out the SMART model corresponding to the API call
model = get_model(call_name)
# Get a reference to the conveninence method in the SMART client and execute the call
method_to_call = getattr(smart_client, call_name)
r = method_to_call()
# Run the API tests on the result of the call
messages = getMessages(runTest(model, r.body, r.contentType))
# Encode and return the call and tests result as JSON
return json.dumps(
{
'body': r.body,
'contentType': r.contentType,
'messages': messages
},
sort_keys=True,
indent=4)
def POST(self):
'''Executes the appropriate series of tests for a given data model'''
# Get the input data from the HTTP header
model = web.input().model
data = web.input().data
contentType = web.input().content_type
# Run the tests and obtain the failure messages
messages = getMessages(runTest(model, data, contentType))
# Return the failure messages encoded as JSON
return json.dumps(messages, sort_keys=True, indent=4)
def POST(self):
'''Executes the appropriate series of tests for a given data model'''
# Get the input data from the HTTP header
model = web.input().model
data = web.input().data
contentType = web.input().content_type
# Run the tests and obtain the failure messages
messages = getMessages(runTest(model, data, contentType))
# Return the failure messages encoded as JSON
return json.dumps(messages, sort_keys=True, indent=4)
def POST(self):
'''Executes a python client API call identified by its generic name'''
global _smart
# make sure the SMARTClient is init'd
cookies = web.cookies()
api_base = cookies.api_base
record_id = cookies.record_id
# reconstruct acc_token from cookies
acc_token = {
'oauth_token_secret': cookies.oauth_token_secret,
'oauth_token': cookies.oauth_token,
'record_id': record_id,
'user_id': cookies.user_id
}
logging.debug('Cookies are: api_base: ' + api_base + ' record_id: ' +
record_id + ' acc_token: ' + str(acc_token))
smart = _smart_client(api_base, record_id)
if smart is None:
return False
smart.update_token(acc_token)
call_name = web.input().call_name
# Figure out the SMART model corresponding to the API call
model = get_model(call_name)
logging.debug('Calling ' + call_name)
method_to_call = getattr(SMARTClient, call_name)
r = method_to_call(_smart)
# Run the API tests on the result of the call
contentType = r.response.get('content-type', None)
messages = getMessages(runTest(model, r.body, contentType))
# Encode and return the call and tests result as JSON
return json.dumps(
{
'body': r.body,
'contentType': contentType,
'messages': messages
},
sort_keys=True,
indent=4)
def POST(self):
'''Executes a python client API call identified by its generic name'''
global _smart
# make sure the SMARTClient is init'd
cookies = web.cookies()
api_base = cookies.api_base
record_id = cookies.record_id
# reconstruct acc_token from cookies
acc_token = {
'oauth_token_secret': cookies.oauth_token_secret,
'oauth_token': cookies.oauth_token,
'record_id': record_id,
'user_id': cookies.user_id
}
logging.debug('Cookies are: api_base: ' + api_base +
' record_id: ' + record_id +
' acc_token: ' + str(acc_token))
smart = _smart_client(api_base, record_id)
if smart is None:
return False
smart.update_token(acc_token)
call_name = web.input().call_name
# Figure out the SMART model corresponding to the API call
model = get_model(call_name)
logging.debug('Calling ' + call_name)
method_to_call = getattr(SMARTClient, call_name)
r = method_to_call(_smart)
# Run the API tests on the result of the call
contentType = r.response.get('content-type', None)
messages = getMessages(runTest(model, r.body, contentType))
# Encode and return the call and tests result as JSON
return json.dumps({
'body': r.body,
'contentType': contentType,
'messages': messages
}, sort_keys=True, indent=4)
def POST(self):
'''Executes a python client API call identified by its generic name'''
# Get the call name from the HTTP header
call_name = web.input().call_name
# Load the local ontology into the SMART client
smart_client = get_smart_client(ONTOLOGY)
# Figure out the SMART model corresponding to the API call
model = get_model(call_name)
# Get a reference to the conveninence method in the SMART client and execute the call
method_to_call = getattr(smart_client, call_name)
r = method_to_call()
# Run the API tests on the result of the call
messages = getMessages(runTest(model,r.body,r.contentType))
# Encode and return the call and tests result as JSON
return json.dumps({'body':r.body, 'contentType':r.contentType, 'messages':messages}, sort_keys=True, indent=4)
