To access a REST service within Python we strongly recommend the ‘requests’ module.
Reading (GET request)
import requests
url = '%(schema)s://%(host)s:%(port)s/%(path)s?%(query)s'
properties = {
'schema': 'http',
'host': 'localhost',
'port': '8001',
'path': 'HMI/sharp_cea_720s_nrt',
'query': 'start=2016-01-19T00:00:00Z&end=2016-01-19T00:00:00Z&meta=false'
}
res = requests.get(url % properties)
resJson = res.json()
Writing (POST request)
import requests
my_data = {}
data = {
'data': {},
'lat_hg': 0,
'long_carr': 0,
'long_hg': 0,
'time_start': '2016-08-26T06:29:01.424Z'
}
url = '%(schema)s://%(host)s:%(port)s/%(path)s'
properties = {
'schema': 'http',
'host': 'localhost',
'port': '8002',
'path': 'region/myDataset'
}
headers = {'Content-Type': 'application/json'}
res = requests.post(url % properties, headers=headers, json=data)
The properties of the URLs are according to the ones enlisted at http://localhost:8001/ui (hmi service), http://localhost:8002/ui (property service), http://localhost:8003/ui (workflow service) and http://localhost:8004/ui (prediction service).