Note

This documentation is for the new OMERO 5.2 version. See the latest OMERO 5.1.x version or the previous versions page to find documentation for the OMERO version you are using if you have not upgraded yet.

OMERO.scripts advanced topics

Regular user (non-admin) workflow

If you are using a server for which you do not have admin access, you must upload scripts as ‘user’ scripts, which are not trusted to run on the server machine. The OMERO scripting service will still execute these scripts in a similar manner to official ‘trusted’ scripts but behind the scenes it uses the client machine to execute the script. This means that any package imports required by the script should be available on the client machine.

The first step is to connect to the server and set up the processor on the client (see diagram, below).

OMERO scripting workflow

• You need to download ‘Ice’ from ZeroC and set the environment variables, as described in the server installation page (see Unix and Windows versions).
• You also need the OMERO server download. Go to the OMERO downloads page and get the appropriate server package (version must match the server you are connecting to). Unzip the package in a suitable location.

In a command line terminal, change into the unzipped OMERO package, connect to the server and start user processor. For example for host: openmicroscopy.org.uk and user: will

$ cd Desktop/OMERO.server-Beta-4.2/
$ bin/omero -s openmicroscopy.org.uk -u will script serve user
$ password: ......

If you want to run scripts belonging to another user in the same collaborative group you need to set up your local user processor to accept scripts from that user. First, find the ID of the user, then start the user processor and give it the user’s ID:

$ cd Desktop/OMERO.server-Beta-4.2/
$ bin/omero -s openmicroscopy.org.uk -u will user list
$ bin/omero -s openmicroscopy.org.uk -u will script serve user=5

From this point on, the user and admin workflows are the same, except for a couple of options that are not available to regular users. Also see below.

Note

Because non-official scripts do not have a unique path name, you will be able to run the upload command multiple times on the same file. This will create multiple copies of a file in OMERO and then you will have to choose the most recent one (highest ID) if you want to run the latest script. It is best to avoid this and use the ‘replace’ command as for official scripts.

To list user scripts:

$ omero -s openmicroscopy -u will script list user      # lists user scripts
 id  | Scripts for user
    -----+---------------------------------------------------------------------------------------------
 151 | examples/HelloWorld.py
 251 | examples/Edit_Descriptions.py

You can list scripts belonging to another user that are available for you (e.g. you are both in the same collaborative group) by using the user ID as described above:

$ omero user list
$ omero script list user=5

User scripts can be run from OMERO.insight. They will be found under ‘User Scripts’ in the scripts menu. Remember, for user scripts you will need to have the User-Processor running.

The iScript service

The OMERO.blitz server provides a service called iScript that includes methods to upload, delete, query and run scripts. To access these methods a session needs to be created and the script service started. However, you may find it more convenient to use the command line bin/omero script or the OMERO.insight client to work with scripts as described on the OMERO.scripts user guide.

Scripting service API

The recommended way of working with the scripting service is via the command line as described on the OMERO.scripts user guide page. The information on this page is only useful if you want to access the Scripting service from your own client-side Python code.

OMERO clients can upload, edit, list and run scripts on the OMERO server using the Scripting Service API.

These methods (discussed below) are implemented in examples/ScriptingService/adminWorkflow.py. This sample script allows these functions to be called from the command line and can be used as an example for writing your own clients.

Most functions of the adminWorkflow.py script are also implemented in the OMERO CLI described on the OMERO.scripts user guide, which is the preferred way of accessing the scripting service for script writers.

Having downloaded examples/ScriptingService/adminWorkflow.py, you can get some instructions for using the script by typing:

$ python adminWorkflow.py help

To upload ‘official’ scripts, use the uploadOfficialScript method of the scripting service or use the upload command from adminWorkflow.py (you can omit password and enter it later if you do not want it showing in your console):

$ python adminWorkflow.py -s server -u username -p password -f script/file/to/upload.py upload

Official scripts must have unique paths. Therefore, the uploadOfficialScript method will not allow you to overwrite and existing script. However, the adminWorkflow.py upload command will automatically use scriptService.editScript() if the file exists. If you want to change this behavior, edit the adminWorkflow.py script accordingly.

To get the official scripts available to run, use the getScripts() method, which returns a list of Original Files (scripts). This code will produce a list of scripts like the one above.

scripts = scriptService.getScripts()
for s in scripts:
    print s.id.val, s.path.val + s.name.val

This can be called from adminWorkflow.py with this command:

$ python adminWorkflow.py -s server -u username -p password list

The script can then be run, using the script ID and passing the script a map of the input parameters. The adminWorkflow.py script has a ‘run’ command that can be used to identify a script by its ID or path/name and run it. The ‘run’ command will ask for parameter inputs at the command line.

$ python adminWorkflow.py -s localhost -u root -p omero -f scriptID run

or

$ python adminWorkflow.py -s localhost -u root -p omero -f omero/figure_scripts/Roi_Figure.py run

You can combine the latter form of this command with the ‘upload’ option to upload and run a script at once, useful for script writing and testing.

$ python adminWorkflow.py -s localhost -u root -p omero -f omero/figure_scripts/Roi_Figure.py upload run

Alternatively, you could edit adminWorkflow.py to ‘hard-code’ a set of input parameters for a particular script (this strategy is used by examples/ScriptingService/runHelloWorld.py. The code below shows a more complex example parameter map. This strategy might save you time if you want to be able to rapidly run and re-run a script you are working on. Of course, it is also possible to run scripts from OMERO.insight!

cNamesMap = omero.rtypes.rmap({'0':omero.rtypes.rstring("DAPI"),
    '1':omero.rtypes.rstring("GFP"),
    '2':omero.rtypes.rstring("Red"),
    '3':omero.rtypes.rstring("ACA")})
blue = omero.rtypes.rstring('Blue')
red = omero.rtypes.rstring('Red')
mrgdColoursMap = omero.rtypes.rmap({'0':blue, '1':blue, '3':red})
map = {
   "Image_IDs": omero.rtypes.rlist(imageIds),
   "Channel_Names": cNamesMap,
   "Split_Indexes": omero.rtypes.rlist([omero.rtypes.rlong(1),omero.rtypes.rlong(2)]),
   "Split_Panels_Grey": omero.rtypes.rbool(True),
   "Merged_Colours": mrgdColoursMap,
   "Merged_Names": omero.rtypes.rbool(True),
   "Width": omero.rtypes.rint(200),
   "Height": omero.rtypes.rint(200),
   "Image_Labels": omero.rtypes.rstring("Datasets"),
   "Algorithm": omero.rtypes.rstring("Mean_Intensity"),
   "Stepping": omero.rtypes.rint(1),
   "Scalebar": omero.rtypes.rint(10), # will be ignored since no pixelsize set
   "Format": omero.rtypes.rstring("PNG"),
   "Figure_Name": omero.rtypes.rstring("splitViewTest"),
   "Overlay_Colour": omero.rtypes.rstring("Red"),
   "ROI_Zoom":omero.rtypes.rfloat(3),
   "ROI_Label":omero.rtypes.rstring("fakeTest"), # won't be found - but should still work
}

The results returned from running the script can be queried for script outputs, including stdout and stderr. The following code queries the results for an output named ‘Message’ (also displayed by OMERO.insight)

print results.keys()
if 'Message' in results:
    print results['Output_Message'].getValue()
if 'stdout' in results:
    origFile = results['stdout'].getValue()
    print "Script generated StdOut in file:" , origFile.getId().getValue()
if 'stderr' in results:
    origFile = results['stderr'].getValue()
    print "Script generated StdErr in file:" , origFile.getId().getValue()

This code has been extended in adminWorkflow.py to display any StdErr and StdOut generated by the script when it is run.