Schedule a baseline forecast on Planning Analytics Local

Use these commands when scheduling a baseline forecast on Planning Analytics Local.

1. To run the baseline endpoint: curl --location --request POST 'http://<paw_local>/<baseline_url>' --header 'Authorization: Basic base64(<username>:<password>)'

   When SSL is configured, pass the certificates with the curl command (recommended) or use the -k option to disable it. Once a baseline forecast is started, the status of the baseline asset changes to running. After the forecast is complete, it goes back to ready. While a forecast is running on a baseline asset, another forecast cannot be started unless the first one is complete and the asset returns to ready status.

2. To check the baseline status endpoint: curl 'http:// <paw_local> /api/v0/predict/api/v1/BaselineStatus/<baselineID> ' --header 'Authorization: Basic base64(<username>:<password>)'
   Tip: The baselineID can be found in the baseline URL as the value of the property named id.
3. If a baseline forecast gets stuck while running, you can reset the status back to ready: curl --location --request POST 'http://<paw_local>/api/v0/predict/api/v1/ResetBaseline/<baselineID>' --header 'Authorization: Basic base64(<username>:<password>)'
4. To override context members, statistical details cube slices, and sets, you must send a payload (request body) with the RunBaseline endpoint.
   To run the basement endpoint: curl --location --request POST 'http://<paw_local>/<baseline_url>' --header 'Authorization: Basic base64(<username>:<password>)' -H "Content-Type: application/json" -d ‘json_payload_containing_sets_and_context’

   The following is an example payload:

   {
       "serverName": "Planning Sample",
       "statCubeSlice": " [ForecastResultRun].[ForecastResultRun].[3]”,
       "sets": [
           {
               "set": "all_leaves",
               "dimensionID": "Sample_members",
               "setIsOverridden": true,
               "hierarchyID": "Sample_members",
               "hierarchy": "Sample_members",
               "name": "Sample_members",
               "member": "all_leaves",
               "setType": "NAMED_SET",
               "mdx": "{{TM1FILTERBYLEVEL(TM1SUBSETALL([Sample_members].[Sample_members]) , 0)}}"
           }
       ],
       "context": [
           {
               "dimensionID": "test_version",
               "hierarchyID": "test_version",
               "hierarchy": "test_version",
               "name": "test_version",
               "member": "Forecast",
               "contextIsOverridden": true,
               "setType": "UNNAMED_SET",
               "mdx": "{[test_version].[test_version].[Forecast]}"
           },
           {
               "dimensionID": "Months-Consolidated",
               "hierarchyID": "Months-Consolidated",
               "hierarchy": "Months-Consolidated",
               "name": "Months-Consolidated",
               "member": "1",
               "contextIsOverridden": true,
               "setType": "UNNAMED_SET",
               "mdx": "{[Months-Consolidated].[Months-Consolidated].[1]}"
           }
       ]
   }