Make sure that the JSON file with information about exported
visual artifacts is on the destination machine.
- Authenticate the user using the data API.
-
Submit a
POST request to the following address for a destination
machine:
destination_arcviz_ip/arc/migration/api/import/
For instructions on export, see Exporting visual artifacts with REST
APIs.
This is a sample Python code snippet for authenticating and submitting the
POST request that imports dashboards with IDs 2115 and 2110, which were
earlier saved (from a metadata perspective) as my_app.json. This file is
uploaded to the Data Visualization server during the
import.import requests
headers = {'AUTHORIZATION':'apikey secret_api_key'}
payload = {'dry_run': False, "dataconnection_name":"data_connection"}
files = {'import_file': open('/Users/my_name/Downloads/my_app.json','r')}
r = requests.post('destination_arcviz_ip/arc/migration/api/import/',files=files, data=payload, headers=headers)
print r.status_code # 200 is success
