Message: Failed to upload item(s), it may be due to a slow or lost internet connection
When uploading dataset files, the following error can occur:
Failed to upload item(s), it may be due to a slow or lost internet connection
Possible cause
This error message can show up because of some browser configurations.
Solution
Open browser console and get the DNS of the objectstore url. It will be of the form objectstore.xxx.xx
Make sure that the objectstore DNS is resolvable either by adding to host file or talking to your network administrator
Once the DNS is resolved, if the certificate is not trusted, make sure you trust the certificate inside your browser before uploading the item.
Issue: Error on Pipelines pages even though permissions are in place for running pipelines
When trying to view or run pipelines, an error can be occur, even though permissions to run pipelines are in place.
Solution
In order to run and view pipelines, Read permissions on the ML Packages are mandatory.
Issue: Service deployment can get stuck because of the DATABASECHANGELOGLOCK lock not being released by one service
On rare occasions, if you restart the machine two times consecutively, service deployment can get stuck because of the DATABASECHANGELOGLOCK lock not being released by one service. In this case you will see UiPath AI CenterTM pods restarting continuously.
Solution
Run the following SQL command in the AI Center database to release the lock:
UPDATE DATABASECHANGELOGLOCK SET LOCKED = 0, LOCKGRANTED = null, LOCKEDBY = null
Message: Please check projects or public ML package combination in destination
While importing an ML Package, the following error message can occur:
Please check projects or public ML package combination in destination
Solution
Get sourcePackageName
from the imported model's metadata.json
file and upload an out of the box ML Package (bundle) using the same name.
Message: curl: (92) HTTP/2 stream 0 was not closed cleanly: HTTP_1_1_REQUIRED (err 13)
The following error message can occur while installing AI Center stand-alone: curl: (92) HTTP/2 stream 0 was not closed cleanly: HTTP_1_1_REQUIRED (err 13)
.
Solution
Make sure that you are using TLS 1.2 and HTTP/2 before proceeding with the installation.
How to recreate databases
If there is an issue with your databases, you can recreate them from scratch directly post-installation.
You can do this by running an SQL command to drop all the DBs and recreate them as follows:
USE [master]
ALTER DATABASE [AutomationSuite_AICenter] SET SINGLE_USER WITH ROLLBACK IMMEDIATE
DROP DATABASE [AutomationSuite_AICenter]
CREATE DATABASE [AutomationSuite_AICenter]
GO
ML Skill deployment failed after migration
After upgrading to AI Center 2022.10 and moving to external storage, making a skill created in 2022.4 public will fail.
Solution
- To fix this, run the script from here.
- This issue was fixed in 2022.10.2. To fix this, upgrade to a newer version.
Updated 11 days ago