View source for Blood Flow Aneurysm Tutorial Publishing to SeedMe.org-2.10

Results from visualization and analysis are often shared with collaborators. [https://www.seedme.org SeedMe.org] provides an easy to automate sharing and collaboration platform.

=== Required setup ===

* [https://www.seedme.org/user Sign-in] or [https://www.seedme.org/user/register Sign-up] at SeedMe.org

* [https://www.seedme.org/user Download] your ''API Key file'', then move it to your [https://en.wikipedia.org/wiki/Home_directory Home directory].

=== Sharing automation script===
In this section we will render and save pathline trace in 20 steps. Then upload and share the rendered 20 images as a sequence and instuct SeedMe to encode a video from these set of images at 2 frames per second. A sample video can be seen [https://www.seedme.org/node/49054#videos here]

Brief explanation is provided in comments and detailed example can be seen [https://bitbucket.org/seedme/seedme-python-client/src/master/demo.py?at=master&fileviewer=file-view-default here].

*Open the Commands Window
**[Controls Menu]->Command
*Find an empty tab
*Paste the following Python snippet into this tab
<source lang="python">
##############################################################################
# To do : Set the following four variables
##############################################################################
seedme_apikey_path = '/absolute/path/to/seedme.txt'
my_rendered_image_path = "/absolute/path/for/images/" # does not traverse recursively
my_content_privacy = "public" # private (default), group, public
my_share_list = "one@example.com, two@example.com" # comma delimited emails


# Set save window attributes including path where the rendered images will be saved
sa = SaveWindowAttributes()
sa.outputToCurrentDirectory = 0
sa.outputDirectory = my_rendered_image_path
sa.fileName = "pathline"
sa.family = 1
sa.format = sa.PNG
sa.width = 512
sa.height = 512
sa.screenCapture = 0
sa.saveTiled = 0
sa.quality = 80
sa.progressive = 0
sa.binary = 0
sa.stereo = 0
sa.compression = sa.PackBits  # None, PackBits, Jpeg, Deflate
sa.forceMerge = 0
sa.resConstraint = sa.ScreenProportions  # NoConstraint, EqualWidthHeight, ScreenProportions
sa.advancedMultiWindowSave = 0
SetSaveWindowAttributes(sa)


# Now save this pathline visualization in 20 frames (images)
# Animate our pathlines by cropping based on time
satts = StreamlineAttributes()
satts.referenceTypeForDisplay = satts.Time
satts.displayEndFlag = 1

nsteps = 20 # Number of steps
final_time = .995
for i in range(nsteps+1):
  satts.displayEnd = final_time * i /nsteps
  SetPlotOptions(satts)
  SaveWindow() # will save images at the sa.outputDirectory provided above


# ----------------------------------------------------------------------------------#
# Upload and share content at SeedMe.org                                                         
# Instruct the seedme module to upload 20 images then encode a video from it
# seedme module ships with VisIt 2.9.x +                                                          
# ----------------------------------------------------------------------------------#
import seedme

# Create seedme object
obj = seedme.SeedMe()

# Set path to the APIKey file
obj.set_auth_via_file(seedme_apikey_path)

# Create a dictionary for rendered image sequence
my_seq = {
       "filepath": my_rendered_image_path,
       "title": "Pathline",
       "description": "Pathlines show the path massless tracer particles would take if advected by the vector field at each timestep of the simulation.",
       "fps": 2,
       "encode": True,
      }


# Create a new collection using create_collection method
# composed with title and sequence with public access, shared with two people
result=obj.create_collection(title="Aneurysm vis",
                             privacy=my_content_privacy,  # string = One of private(default), group, public
                             sharing=my_share_list, # string = Comma delimited emails
                             notify=True, # Boolean = False(default) send email notification to above two emails
                             sequences=my_seq, # upload sequence and create video from it at 2 frame per second
                             )

# create_collection returns the result as a string in json format
print result

url = obj.get_url(result)
# Visit this url on your web browser
print("\n\nThe url for this collection is: " + url)
</source>

*Click '''Execute'''

To view your shared content [https://www.seedme.org/user login] to SeedMe.org then navigate to [https://www.seedme.org/collections My collections].


------------


To learn more about SeedMe Python API review the example [https://bitbucket.org/seedme/seedme-python-client/src/master/demo.py?at=master&fileviewer=file-view-default demo.py]


[[ Blood_Flow_Aneurysm_Tutorial_Calculating_Flux | Next: Calculating the Flux Though a Surface ]]

[[ Blood_Flow_Aneurysm_Tutorial | Aneurysm Tutorial Index]]

[[Category: VisIt Tutorial]]