You cannot edit nor delete subscription resources from the desktop app. When you are using the desktop application, you will be able to identify the subscription resources as those that have a lock beside their name. Once a resource is added to the subscription, it is available for all models. You can upload as many resources as you need. If a file already contains an existing resource, Bizagi Modeler will ignore it.
You can add more resources to your subscription at any time. You can now also filter your resources using the search control on the left corner.Īdding more resources to your subscription The imported resources are now available for all the models in your subscription. A loading screen appears and once the upload finishes, a notification confirming the action appears and you will be able to see your resources. Once in this option, make sure you are at the Resources tab and click the Import resources button.Ī window appears, select the file you want to upload to continue. You can import resources files from the Subscription Settings option in your company Process Library. xml file ready to import in your Process Library. To do this, follow these steps:Ĭlick the Resources option in the Home menu.Ī pop-up appears with your model's resources. You can export your resources from the desktop application. However, said deleted resource will not be deleted from the models using it. When you delete a resource, it will no longer be available for the models in your subscription.
Once a resource is imported it will be available for all the models in the subscription, at the same time, these resources cannot be edited from the desktop application. Resources must be exported from the desktop application. Only users with the subscription owner role can manage these objects.Īs a subscription owner you can import and delete resources on the company Process Library. This means that these objects can be used across all models in the subscription. Bizagi Modeler allows you to share objects, such as Resources and extended attributes across models.
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