Extruding multiple Profiles from One sketch

Anonymous

Extruding multiple Profiles from One sketch

Anonymous
Not applicable

How do you extrude a selection of multiple extrudes from one sketch using the Python Scripting?

 

For example: Extrudes.createInput(profile, operation) only takes one profile( which I understand to be any closed space in a specified sketch). How can you programattically extrude multiple profiles in one action from a Python Script. To see this action demonstrated just using the interface see the picture belowundefined

 

How do I add this functionality to my Code?

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ekinsb
Alumni
Alumni

You're correct that each closed area within a sketch is considered a "Profile".  In your example, there are three profiles in that sketch.  You can see this in the user interface as you move the mouse over the model and each of the areas highlights.

 

From the API you can query the sketch to get all of the profiles that Fusion has found.  To create an extrusion with more than one profile you can use an ObjectCollection that contains the profiles as input.  If you look at the Profile argument in the documentation it discusses the different types of input that can be used for that argument.  The example below illustrates this.

 

def multipleProfileExtrude():
    try:
        app = adsk.core.Application.get()
        ui = app.userInterface
        des = adsk.fusion.Design.cast(app.activeProduct)     
        root = des.rootComponent
        
        # Create a new sketch on the X-Y base plane.
        sk = root.sketches.add(root.xYConstructionPlane)
        
        # Draw two overlapping circles.
        sk.sketchCurves.sketchCircles.addByCenterRadius(adsk.core.Point3D.create(0,-1,0), 2)
        sk.sketchCurves.sketchCircles.addByCenterRadius(adsk.core.Point3D.create(0,1,0), 2)
        
        ui.messageBox('The sketch contains ' + str(sk.profiles.count) + ' profiles.')
        
        # Create an object collection to use an input.
        profs = adsk.core.ObjectCollection.create()
        
        # Add all of the profiles to the collection.
        for prof in sk.profiles:
            profs.add(prof)
            
        # Create the extrusion.
        extrudeInput = root.features.extrudeFeatures.createInput(profs, adsk.fusion.FeatureOperations.NewBodyFeatureOperation)
        extrudeInput.setDistanceExtent(False, adsk.core.ValueInput.createByReal(2))
        extrude = root.features.extrudeFeatures.add(extrudeInput)        
    except:
        if ui:
            ui.messageBox('Failed:\n{}'.format(traceback.format_exc()))    

Brian Ekins
Inventor and Fusion 360 API Expert
Mod the Machine blog
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Anonymous
Not applicable

The problem I see with this approach is that you have to extrude all profiles. I'm trying to write code that extrudes only the profiles I create. Not all the closed profiles in the sketch.

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rudisoft
Enthusiast
Enthusiast

I've got the same issue:

 

When creating some innercircles within an outer circle that don't overlap, I could give each inner circle one identifier (by name for example). Now, how do I itrate through all profiles, identify them by name and extrude them one by one?

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ekinsb
Alumni
Alumni

If you have a complex sketch it can sometimes be difficult to find the specific profiles you need but I believe it should always be possible. A couple of points to remember.  First, you don't explicitly create profiles. You draw sketch entities and Fusion automatically determines the possible profiles.  Second, sketch entities can end up participating in many profiles.  In the example below I've drawn three overlapping circles.  This results in 7 profiles (each shown in a different color) and each circle participates in defining all 7 of the profiles.  This is probably one of the worst cases you could run into.profileExample.png

 

Another thing that can cause problems because it increases the complexity, is that when you create a new sketch using a face as input, the edges of the face are automatically included into the sketch it is also considered when the profiles are calculated. We'll be adding a new method soon to create a sketch on a face that will create the sketch without including the edges.  A couple of approaches you can use now is to delete all of the automatically created entities right after the sketch is created or change them all to construction so they won't participate in profile calculations.

 

Using the picture above as an example, and assuming you want to use the blue profile, you need to somehow figure out what makes the blue profile unique.  Assuming you created the three sketch circles in the same script so you should have references to those, you can use that information to help find the blue profile. What I see that makes the blue profile unique is that it's the only profile that is inside circle 1 and 2 and outside circle 3.  Below is my code that creates the three circles, finds the profile, and creates an extrusion.

 

import adsk.core, adsk.fusion, adsk.cam, traceback
_app = adsk.core.Application.cast(None)
_ui = adsk.core.UserInterface.cast(None)

def run(context):
    try:
        global _app, _ui
        _app = adsk.core.Application.get()
        _ui = _app.userInterface

        des = adsk.fusion.Design.cast(_app.activeProduct)
        root = des.rootComponent
        
        sk = root.sketches.add(root.xYConstructionPlane)
        circs = sk.sketchCurves.sketchCircles
        circ1 = circs.addByCenterRadius(adsk.core.Point3D.create(-5,-5,0), 7)        
        circ2 = circs.addByCenterRadius(adsk.core.Point3D.create(5,-5,0), 7)        
        circ3 = circs.addByCenterRadius(adsk.core.Point3D.create(0,4,0), 7)        
        
        prof = adsk.fusion.Profile.cast(None)
        for prof in sk.profiles:
            # Get the centroid of the current profile.
            profCenter = adsk.core.Point3D.cast(prof.areaProperties().centroid)
            
            # Check to see if the center is within circle 1.
            if profCenter.distanceTo(circ1.centerSketchPoint.geometry) < circ1.radius:
                # Check to see if the center is within circle 2.
                if profCenter.distanceTo(circ2.centerSketchPoint.geometry) < circ2.radius:
                    # Check to see if the center is outside circle 3.
                    if profCenter.distanceTo(circ3.centerSketchPoint.geometry) > circ3.radius:
                        break
                    
        # Create an extrusion with the found profile.
        root.features.extrudeFeatures.addSimple(prof, adsk.core.ValueInput.createByReal(5), adsk.fusion.FeatureOperations.NewBodyFeatureOperation)
    except:
         _ui.messageBox('Failed:\n{}'.format(traceback.format_exc()))

The problem with this code and somewhat the main point of my reply, is that this isn't likely to be useful to you or most anyone else.  The reason being that every set of sketch geometry is a little different and the approach you might take to figure out which profile(s) you want to use will be different in each case.

 

Another thing to be aware of is what's available with a profile.  In the example above I take advantage of the fact that you can get area properties from a profile but you can also get the sketch curves that are used to define the profile.  That's actually more useful in most cases but in my example above since every circle participates in every profile it's not useful.  A profile is made up of one or more loops.  If it has more than one loop then there is one outer loop and one or more inner loops.  For example, in the sketch pictured below there are two profiles, the one highlighted in blue and the one in the triangle. The blue one is made up of two loops; the outer rectangle and the inner triangle. There could also be additional inner loops but a profile always has only one outer loop. If I want the blue profile I can check to see which of the two profiles has two loops. In other cases it can be useful to check which which sketch entities are used to define a profile. Each loop provides the profile curves that make up that loop and each profile curve can tell you which sketch entity it's based on. One way to think of getting profiles is that it's like solving a puzzle. You're given a certain set of tools and you need to figure out how to use those tools to get to the specific solution you want.ProfileExample2.png

 

 

 

 

 

 

 

 

 

 

 


Brian Ekins
Inventor and Fusion 360 API Expert
Mod the Machine blog
4 Likes

rudisoft
Enthusiast
Enthusiast

Dear Brian,

 

thanks for your quick answer. Really appreceate your API, even though I'm just a hobbyist and just starting to use it. The solution to my problem turned out to be a simple one since my problem is simpler than in your analysis above:

 

Make a separate sketch of the smaller circles and extrude. This way, I don't need to either guess or make more geometrical considerations. 

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rudisoft
Enthusiast
Enthusiast

Hi guys,

 

so, if I have a sketch that looks like this

one.PNG

 

and want to have this by extruding all but the largest shape:

two.PNG

 

I have created the following code

Ptr<ObjectCollection> pinsExtrudeProfiles = ObjectCollection::create();
for (int j = 0; j < z2; j++) {
Ptr<Point3D> point = Point3D::create(r2*cos(2 * PI*j / z2), r2*sin(2 * PI*j / z2), 0);
Ptr<SketchCircle>circle = pHolderSketchCircles->addByCenterRadius(point, dc / 2);
}

// creating the outer rim Ptr<SketchCircle>cirle2 = pHolderSketchCircles->addByCenterRadius(Point3D::create(0, 0, 0), r2 + dc / 2); Ptr<SketchCircle>cirle3 = pHolderSketchCircles->addByCenterRadius(Point3D::create(0, 0, 0), r2 ); Ptr<Profiles> profiles = pHolderSketch->profiles(); /* There are four different types of profiles in this sketch now: The largest one is the center, star shaped The second largest is the thing between the pins The third largest is the outer part of the pin that was intersected by the second circle The fourth largest is the inner part of the pin that was intersected by the 2nd circle */ int areas[4] = {0,0,0,0}; for (int j = 0; j < profiles->count()-1; j++) { Ptr<Profile> profile = profiles->item(j); // rounding is important since the profile areas are pretty much all different // however, there are four clusters that we need to identify. int area = (int)(profile->areaProperties()->area() * 100000) ; bool skipped = false; for (int k = 0; k < 4; k++) { if (areas[k] == area) { skipped = true; break; // skip } } if (!skipped) { for (int k = 0; k < 4; k++) { if (areas[k] == 0) { areas[k] = area; break; } } } } // We need the first, second and third largest profile. Therefore we sort. std::sort(areas, areas + 4); for (int j = 0; j < profiles->count(); j++) { Ptr<Profile> profile = profiles->item(j); int area = (int)(profile->areaProperties()->area() * 100000); if (area == areas[0] || area == areas[1] || area == areas[2]) { pinsExtrudeProfiles->add(profile); } } Ptr<ExtrudeFeatureInput> pinsextrudeFeature = pinsextrudes->createInput(pinsExtrudeProfiles,
FeatureOperations::JoinFeatureOperation); pinsextrudeFeature->setDistanceExtent(false, ValueInput::createByReal(camthickness)); Ptr<ExtrudeFeature> pinsext = pinsextrudes->add(pinsextrudeFeature); adsk::doEvents();

Is this the best way of doing it? I have some multiple issues with this:

- the areas turn out to be not of equal size numerically, therefore I need to round them. 

- first, finding out which different shape sizes are there, then sorting them before selecting everything else but the largest one seems awkward.

- calculation takes up quite some time. Is there a way to programmatically turn of history

 

 Is it too much to ask for a shape selection query language? I would certainly appreceate some sort of

Ptr<ObjectCollection> pinsExtrudeProfiles ="select 
top(profiles->count()-1)
from pHolderSketch->profiles()
order by profile->areaProperties()->area() desc";

Thanks in advance,

 

rudisoft

 

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ekinsb
Alumni
Alumni

How about this?  Instead of looking at the shape, look at the topology of each profile.  All of the profiles, except for the big center one, are made up of 5 or less segments.  I did a quick test in Python and here's the code.

 

 

# Add all profiles that have 5 or less segments.
extProfiles = adsk.core.ObjectCollection.create()
prof = adsk.fusion.Profile.cast(None)
for prof in sk.profiles:
    # Get the single loop of the profile.
loop = prof.profileLoops.item(0) if loop.profileCurves.count <= 5: extProfiles.add(prof) rootComp.features.extrudeFeatures.addSimple(extProfiles, adsk.core.ValueInput.createByReal(dc), adsk.fusion.FeatureOperations.NewBodyFeatureOperation)

 


Brian Ekins
Inventor and Fusion 360 API Expert
Mod the Machine blog
1 Like

rudisoft
Enthusiast
Enthusiast

Thanks Brian,

 

I translated this to C++ and it works like a charm. So here it is for anybody who wants to grab.

Ptr<SketchCircle>cirle2 = pHolderSketchCircles->addByCenterRadius(Point3D::create(0, 0, 0), r2 + dc / 2);
Ptr<SketchCircle>cirle3 = pHolderSketchCircles->addByCenterRadius(Point3D::create(0, 0, 0), r2);
Ptr<Profiles> profiles = pHolderSketch->profiles();
			
for (int k = 0; k < profiles->count(); k++) {
	Ptr<Profile> profile = profiles->item(k);
	Ptr<ProfileLoop> loop = profile->profileLoops()->item(0);
	if(loop->profileCurves()->count()<=5){
		pinsExtrudeProfiles->add(profile);
	}
}
	
Ptr<ExtrudeFeatureInput> pinsextrudeFeature = pinsextrudes->createInput(pinsExtrudeProfiles, FeatureOperations::JoinFeatureOperation);
pinsextrudeFeature->setDistanceExtent(false, ValueInput::createByReal(camthickness));
Ptr<ExtrudeFeature> pinsext = pinsextrudes->add(pinsextrudeFeature);
Ptr<BRepBody>pinsBody = pinsext->bodies()->item(0);

I'll certainly will look into profile loops a little closer in the future.

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Yahoo! Japan
We use Yahoo! Japan to deploy digital advertising on sites supported by Yahoo! Japan. Ads are based on both Yahoo! Japan 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 Yahoo! Japan has collected from you. We use the data that we provide to Yahoo! Japan to better customize your digital advertising experience and present you with more relevant ads. Yahoo! Japan Privacy Policy
Naver
We use Naver to deploy digital advertising on sites supported by Naver. Ads are based on both Naver 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 Naver has collected from you. We use the data that we provide to Naver to better customize your digital advertising experience and present you with more relevant ads. Naver Privacy Policy
Quantcast
We use Quantcast to deploy digital advertising on sites supported by Quantcast. Ads are based on both Quantcast 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 Quantcast has collected from you. We use the data that we provide to Quantcast to better customize your digital advertising experience and present you with more relevant ads. Quantcast Privacy Policy
Call Tracking
We use Call Tracking to provide customized phone numbers for our campaigns. This gives you faster access to our agents and helps us more accurately evaluate our performance. We may collect data about your behavior on our sites based on the phone number provided. Call Tracking Privacy Policy
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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