Automate Scaling and Exporting Step files

jedidavidalan
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Automate Scaling and Exporting Step files

jedidavidalan
Participant
Participant

Hi there,

 

I'm a graphic designer whose experience is mostly with Adobe Photoshop and Illustrator for print, but I've dabbled with CAD before to design jewelry for 3D printing and using sites like Shapeways to sell my design.  Well, after a little over a decade of neglecting my shop, I'm rebuilding all my buggy vrml files from scratch in Fusion360.  The design part has been fun, but the tedious part is the way I build ring sizes.  

 

I'm sure there's a better way with parametric design, but I'm still relatively new, and most of my design process uses Illustrator to build my sketches, and then bring them into Fusion 360 to bring them to 3D.  So I usually design my rings as a US size 10, and then I did the math to scale the whole ring down to size 5 and up to size 12.5 and everything in between.  So what I've been doing is placing my final design of a ring at the origin, duplicating the body 15 times, and then just making one size visible, and scaling the whole ring up or down from the origin.  Once I've got all 16 sizes scaled, I make one ring visible at a time, and export that model as a .step file, and name it with the size.  

 

So I watched the whole video of Automating Fusion 360 with the API by Patrick Rainsberry, but the problem I've encountered is that I don't have any coding experience.  I'm used to automating with Photoshop or Illustrator where you can record your actions and then tell the app to repeat those steps on a batch of files.  Is there anyone that can/would be willing to help me set something up?  I've got over fifty designs currently, and I'm planning on really making a push with this particular side hustle in the future, so it would be really helpful if I could devote more of my time to design and less to tedium and file management.  

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BrianEkins
Mentor
Mentor
Accepted solution

The Scale feature is parametric so you can set up a model to be scale and then use a small script to change the scale and export as STEP.

 

Below is the contents of a script that does this.  It expects a design to be open that contains a body in the root component named "Ring".  It also expects there is a parameter in the design called "Scale".  I've attached the f3d that I used to test it.  When you run the script, it prompts for a folder, where it will write the new STEP files.  The valid sizes and the scale factor associated with each one is hard-coded in the script and will be easy to change to the real values.  The script iterates through these pre-defined sizes, sets the parameters controlling the scale, and exports the body as a STEP file.  It used the name defined in the list for the file and exports it to the specified folder.

 

import adsk.core, adsk.fusion, traceback
import os

def run(context):
    try:
        app: adsk.core.Application = adsk.core.Application.get()
        ui: adsk.core.UserInterface  = app.userInterface
        des: adsk.fusion.Design = app.activeProduct

        # Get the parameter named "Scale".
        scaleParam = des.allParameters.itemByName('Scale')

        # Get the body named "Ring". This looks for it in the root component,
        # this code will need to be modified if it's in a sub component.
        root = des.rootComponent
        body = root.bRepBodies.itemByName("Ring")

        # List of name sizes and the associated scale factors.
        sizeList = []
        sizeList.append(('8', 0.8))
        sizeList.append(('9', 0.9))
        sizeList.append(('10', 1.0))
        sizeList.append(('11', 1.1))
        sizeList.append(('12', 1.2))

        # Get the folder to export to from the user.
        folderDialog = ui.createFolderDialog()
        folderDialog.title = 'Specify Export Folder'
        results = folderDialog.showDialog()
        if results != adsk.core.DialogResults.DialogOK:
            return

        folder = folderDialog.folder

        # Iterate through the sizes, scaling the model and exporting for each size.
        for size in sizeList:
            name = size[0]
            scale = size[1]

            # Modify the parameter to get the correct scale.
            scaleParam.value = scale

            # Give control back to Fusion so the view can refresh.
            adsk.doEvents()

            # Export the file as STEP.
            exportMgr = des.exportManager
            filename = os.path.join(folder, name + '.step')
            stepOptions = exportMgr.createSTEPExportOptions(filename, root)
            if exportMgr.execute(stepOptions):
                WriteToTextWindow('Successfully exported ' + filename)
            else:
                WriteToTextWindow('Failed to export ' + filename)
    except:
        if ui:
            ui.messageBox('Failed:\n{}'.format(traceback.format_exc()))


def WriteToTextWindow(text):
    app = adsk.core.Application.get()
    ui = app.userInterface

    # Get the palette that represents the TEXT COMMANDS window. 
    textPalette = ui.palettes.itemById('TextCommands')

    # Make sure the palette is visible. 
    if not textPalette.isVisible: 
        textPalette.isVisible = True

    # Write the text. 
    textPalette.writeText(text) 
---------------------------------------------------------------
Brian Ekins
Inventor and Fusion 360 API Expert
Website/Blog: https://EkinsSolutions.com
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jedidavidalan
Participant
Participant

That is awesome!  I think this is exactly what I was looking for.  Thank you so much, and thanks for your amazing speed!

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jedidavidalan
Participant
Participant

So, I went through and added the correct list of sizes and the scale per each size in the code, but I kept getting the error: 

Screen Shot 2021-06-12 at 5.37.05 PM.png

Here's how I modified the code:

#Author-Brian Ekins
#Description-Script will take a size 10 ring and iterate Size 5-12.5 with half-sizes in-between.

import adsk.core, adsk.fusion, traceback
import os

def run(context):
    try:
        app: adsk.core.Application = adsk.core.Application.get()
        ui: adsk.core.UserInterface  = app.userInterface
        des: adsk.fusion.Design = app.activeProduct

        # Get the parameter named "Scale".
        scaleParam = des.allParameters.itemByName('Scale')

        # Get the body named "Ring". This looks for it in the root component,
        # this code will need to be modified if it's in a sub component.
        root = des.rootComponent
        body = root.bRepBodies.itemByName("Ring")

        # List of name sizes and the associated scale factors.
        sizeList = []
        sizeList.append(('05.0', 0.79293))
        sizeList.append(('05.5', 0.81313))
        sizeList.append(('06.0', 0.83333))
        sizeList.append(('06.5', 0.85354))
        sizeList.append(('07.0', 0.87374))
        sizeList.append(('07.5', 0.89394))
        sizeList.append(('08.0', 0.91414))
        sizeList.append(('08.5', 0.93434))
        sizeList.append(('09.0', 0.95960))
        sizeList.append(('09.5', 0.97980))
        sizeList.append(('10.0', 1.00000))
        sizeList.append(('10.5', 1.02020))
        sizeList.append(('11.0', 1.04040))
        sizeList.append(('11.5', 1.06061))
        sizeList.append(('12.0', 1.08081))
        sizeList.append(('12.5', 1.10101))

        # Get the folder to export to from the user.
        folderDialog = ui.createFolderDialog()
        folderDialog.title = 'Specify Export Folder'
        results = folderDialog.showDialog()
        if results != adsk.core.DialogResults.DialogOK:
            return

        folder = folderDialog.folder

        # Iterate through the sizes, scaling the model and exporting for each size.
        for size in sizeList:
            name = size[0]
            scale = size[1]

            # Modify the parameter to get the correct scale.
            scaleParam.value = scale

            # Give control back to Fusion so the view can refresh.
            adsk.doEvents()

            # Export the file as STEP.
            exportMgr = des.exportManager
            filename = os.path.join(folder, name + '.step')
            stepOptions = exportMgr.createSTEPExportOptions(filename, root)
            if exportMgr.execute(stepOptions):
                WriteToTextWindow('Successfully exported ' + filename)
            else:
                WriteToTextWindow('Failed to export ' + filename)
    except:
        if ui:
            ui.messageBox('Failed:\n{}'.format(traceback.format_exc()))


def WriteToTextWindow(text):
    app = adsk.core.Application.get()
    ui = app.userInterface

    # Get the palette that represents the TEXT COMMANDS window. 
    textPalette = ui.palettes.itemById('TextCommands')

    # Make sure the palette is visible. 
    if not textPalette.isVisible: 
        textPalette.isVisible = True

    # Write the text. 
    textPalette.writeText(text) 

 

And here's the parameter I set up.  I set the unit as %, but for some reason it remains shows as blank in the list:Screen Shot 2021-06-12 at 5.55.18 PM.png

I'm not sure if this is an issue because I didn't initially build the rings using parameters, or if there's something more fundamental that I did wrong.  Can you tell if this is a simple fix or if this isn't going to work?

 

On the off chance this just isn't going to work, I'm wondering if I'm approaching this the wrong way.  Perhaps, instead of a script to build out the different sizes of each ring, maybe I can make one blank ring, and make fifteen copies of that blank ring that all reference the original, and resize them all to make sure they're the correct scale.  Then, if I make a change to that original model, by putting a symbol into the face of it, all the other rings match it, and it's just a matter of getting a script to export all 16 rings to step files.  

 

I know that when you start with a sketch and make a model, a change to the original sketch can trickle down to the model, but I can't remember how to ensure those changes come out in the end, and I can't remember if it's possible or how to do that with a finished model/body.  Of course, it's possible I'm overthinking all of this.  I tend to do that, come up with multiple solutions, and waste time trying to make them work instead of just working on my designs.

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jedidavidalan
Participant
Participant
It took me about a day's worth of research and banging my head against the table, but I finally figured out what I was doing wrong and got it working. It works like a charm. This is going to save me hours! Thank you again so much for your amazing solution and quickness.
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jedidavidalan
Participant
Participant

Hi there,

 

I recently got a new computer, and my scripts didn't make the automatic migration with everything else.  I thought i had it set up the same way it was before, but I've encountered a new error I've never seen before.  

Screen Shot 2022-01-27 at 6.05.51 PM.png

The filename was supposed to be based on the name of the model, and it always worked before, so i'm not quite sure what I'm missing.  I used the same "Modified Code" that I posted earlier.  Any help would be greatly appreciated.  

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kandennti
Mentor
Mentor
Accepted solution
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jedidavidalan
Participant
Participant

You were 100% right!  I kept looking at line 61 and couldn't figure out what to do, it hadn't occurred to me that i missed a line at the beginning when I copy/Pasted.  Thank you so much for your help.  

1 Like

joecamisa
Contributor
Contributor

Hi all, I am trying to do something very similar to automate scaling a single body with two small differences:

 

(1) I am exporting STL files instead of STEP.   Where would I find the command for exporting an STL file and how can I control the size of the STL file?

 

(2) For the exported file name I'd like to append the Size to the Name of the model being exported.

For example for a model with the name "RingTest":  the following STL files would be created:  RingTest S5.stl, RingTest S6.stl, RingTest S7.stl, ..., RingTest S12.stl.

 

Any suggestions on how to script this and which Fusion 360 documents and tutorials I should read would be greatly appreciated.

 

Thanks!

 

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joecamisa
Contributor
Contributor

Thanks for the link.  This was what I am looking for.

I'm getting an error in my script but am debugging to figure it out why.

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Wunderkind
We use Wunderkind to deploy digital advertising on sites supported by Wunderkind. Ads are based on both Wunderkind data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Wunderkind has collected from you. We use the data that we provide to Wunderkind to better customize your digital advertising experience and present you with more relevant ads. Wunderkind Privacy Policy
ADC Media
We use ADC Media to deploy digital advertising on sites supported by ADC Media. Ads are based on both ADC Media data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that ADC Media has collected from you. We use the data that we provide to ADC Media to better customize your digital advertising experience and present you with more relevant ads. ADC Media Privacy Policy
AgrantSEM
We use AgrantSEM to deploy digital advertising on sites supported by AgrantSEM. Ads are based on both AgrantSEM data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that AgrantSEM has collected from you. We use the data that we provide to AgrantSEM to better customize your digital advertising experience and present you with more relevant ads. AgrantSEM Privacy Policy
Bidtellect
We use Bidtellect to deploy digital advertising on sites supported by Bidtellect. Ads are based on both Bidtellect data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bidtellect has collected from you. We use the data that we provide to Bidtellect to better customize your digital advertising experience and present you with more relevant ads. Bidtellect Privacy Policy
Bing
We use Bing to deploy digital advertising on sites supported by Bing. Ads are based on both Bing data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Bing has collected from you. We use the data that we provide to Bing to better customize your digital advertising experience and present you with more relevant ads. Bing Privacy Policy
G2Crowd
We use G2Crowd to deploy digital advertising on sites supported by G2Crowd. Ads are based on both G2Crowd data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that G2Crowd has collected from you. We use the data that we provide to G2Crowd to better customize your digital advertising experience and present you with more relevant ads. G2Crowd Privacy Policy
NMPI Display
We use NMPI Display to deploy digital advertising on sites supported by NMPI Display. Ads are based on both NMPI Display data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that NMPI Display has collected from you. We use the data that we provide to NMPI Display to better customize your digital advertising experience and present you with more relevant ads. NMPI Display Privacy Policy
VK
We use VK to deploy digital advertising on sites supported by VK. Ads are based on both VK data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that VK has collected from you. We use the data that we provide to VK to better customize your digital advertising experience and present you with more relevant ads. VK Privacy Policy
Adobe Target
We use Adobe Target to test new features on our sites and customize your experience of these features. To do this, we collect behavioral data while you’re on our sites. This data may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, your IP address or device ID, your Autodesk ID, and others. You may experience a different version of our sites based on feature testing, or view personalized content based on your visitor attributes. Adobe Target Privacy Policy
Google Analytics (Advertising)
We use Google Analytics (Advertising) to deploy digital advertising on sites supported by Google Analytics (Advertising). Ads are based on both Google Analytics (Advertising) data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Google Analytics (Advertising) has collected from you. We use the data that we provide to Google Analytics (Advertising) to better customize your digital advertising experience and present you with more relevant ads. Google Analytics (Advertising) Privacy Policy
Trendkite
We use Trendkite to deploy digital advertising on sites supported by Trendkite. Ads are based on both Trendkite data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Trendkite has collected from you. We use the data that we provide to Trendkite to better customize your digital advertising experience and present you with more relevant ads. Trendkite Privacy Policy
Hotjar
We use Hotjar to deploy digital advertising on sites supported by Hotjar. Ads are based on both Hotjar data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Hotjar has collected from you. We use the data that we provide to Hotjar to better customize your digital advertising experience and present you with more relevant ads. Hotjar Privacy Policy
6 Sense
We use 6 Sense to deploy digital advertising on sites supported by 6 Sense. Ads are based on both 6 Sense data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that 6 Sense has collected from you. We use the data that we provide to 6 Sense to better customize your digital advertising experience and present you with more relevant ads. 6 Sense Privacy Policy
Terminus
We use Terminus to deploy digital advertising on sites supported by Terminus. Ads are based on both Terminus data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that Terminus has collected from you. We use the data that we provide to Terminus to better customize your digital advertising experience and present you with more relevant ads. Terminus Privacy Policy
StackAdapt
We use StackAdapt to deploy digital advertising on sites supported by StackAdapt. Ads are based on both StackAdapt data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that StackAdapt has collected from you. We use the data that we provide to StackAdapt to better customize your digital advertising experience and present you with more relevant ads. StackAdapt Privacy Policy
The Trade Desk
We use The Trade Desk to deploy digital advertising on sites supported by The Trade Desk. Ads are based on both The Trade Desk data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that The Trade Desk has collected from you. We use the data that we provide to The Trade Desk to better customize your digital advertising experience and present you with more relevant ads. The Trade Desk Privacy Policy
RollWorks
We use RollWorks to deploy digital advertising on sites supported by RollWorks. Ads are based on both RollWorks data and behavioral data that we collect while you’re on our sites. The data we collect may include pages you’ve visited, trials you’ve initiated, videos you’ve played, purchases you’ve made, and your IP address or device ID. This information may be combined with data that RollWorks has collected from you. We use the data that we provide to RollWorks to better customize your digital advertising experience and present you with more relevant ads. RollWorks Privacy Policy

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