Method : POST
URI : /brs/object/list/1
Body :
{"bucket_name":"<name of the bucket>"}
Note: there is 1 in the end of URI, (this will get deprecated but for now it’s there)
Example
curl -H "Content-Type: application/json" -d'{"bucket_name":"ml_bucket_info"}' -X POST http://192.168.1.105:18080/brs/object/list/1
Response
{ "total_keys": 5, "key_list": [ { "key": "sales_model__website:0:1:441:1648550728434692" }, { "key": "sales_model__website__param:0:1:932:1648550728434760" }, { "key": "sales_model__website__range:0:1:108:1648550728434721" }, { "key": "sales_model__website.traindetails:0:1:11549:1648550728435030" }, { "key": "sales_model__website__visitor_upload.txt:0:1:1062:1648548818373679" } ] }
You will notice that various files (including the model) for training was stored in this bucket.