P1: 16. Insight Import

[saloynton]

16. Insight Import

[Updated for 4.3.2]

Prerequisites: Image data from test image good

• Non-SPW Image Import
  • Click on the 'import' button in the hierarchy view of insight
  • Select a non-SPW image to import
  • Hit the '>' button.
  • Create new Project, with description
  • Create new Dataset, with description
  • Under 'options' choose 'full path+file name' for image name
  • Ensure the 'show thumbnails' tickbox is set as the default for the import.
  • Remove the image from the queue (to make sure this feature works)
  • Re-add the image, selecting the same Project/Dataset and other options (to make sure this feature works)
  • Click "Import" to start the import.
  • Click "Import" to start the import.
  • The import tab # 1 will open.
  • Validate that the Number of File/Folders corresponds to the amount of files/folders imported.
  • Validate that the information in the top bar of Imported to Dataset is correct.
  • Confirm that the dataset label will open location of the image.
  • Confirm the thumbnail image is shown when hovering over it.
  • Confirm that a green tick appears on the completion of the import.
  • In the insight data manager confirm the refresh icon is shown on the relevant project/dataset where the image was imported into.
  • Confirm the image label view shows the image.

• SPW Image Import (use the folder test_images_good/mias/frans/MIAS 3 D set 2 july 13 2009/001/0018 Please note this will take some time to import under test conditions )
  • Repeat the above process, but this time under 'options' choose 'partial path with 0 directories'
  • Confirm the image imported correctly

• Folder Import
  • Select a few folders of images
  • Hit the '>' button.
  • Select 'Folder as Dataset' (make sure both the 'select all' and 'individual' select options work)
  • cancel import by selecting imports on the right side and removing
  • re-add folder
  • Click 'import'
  • Confirm all images imported correctly by browsing the dataset

• Folder Import
  • Select multiple folders from test_images_good)
  • Click ">"
  • Now choose an existing Project and set the Dataset to "New From Folder"
  • Click "Add to the Queue"
  • Now check that all folders imported in the queue have "Folder as Dataset" checked.
  • Now click import.
  • Confirm that the imported folders

• Folder Import move between queues
  • Select a folder
  • Click ">"
  • Now choose an existing Project and set the Dataset to "New From Folder" []
  • Click "Add to the Queue"
  • Now check that all folders imported in the queue have "Folder as Dataset" checked.
  • Now click "<" to remove the folder from the queue.
  • Now select a different folder.
  • Click ">"
  • Now choose an existing Project and set the Dataset to "New From Folder"
  • Click "Add to the Queue"
  • Now check that all folders imported in the queue have "Folder as Dataset" checked.
  • Now click import.
  • Confirm that the folders have been created as datasets.

• Bug Submission
  • Right click on a dataset and choose 'import'
  • Select test_images_bad/mike1_R3D.dv from the repo
  • import image
  • when image fails, click submit failures
  • Click the "Send Feedback" button.
  • Enter your email address & a message.
  • Leave both check-boxes selected.
    • variation1: select only the file not the log file
    • variation2: do not send files
  • Click the "Send Comment" button.
  • The file should send & a pop-up should appear saying you were successful.

• Check your email, a QA messsage should appear, click the link included.
  • Your email address, error message, and file links should all be included on the QA webpage.
  • Send a reply comment to the QA webpage, include your email address and a message.
  • Log into the QA system as an administrator and confirm the comment was received.
  • Reply to the QA message, the message should appear in your email.
  • Finally, set the QA message status to "Closed" and save.

[sylittlewood]

All testing was successful, no bugs noticed.