[Maya-Python][ANN] Pyblish 1.0 Alpha
Marcus Ottosson
I’d like to introduce the 1.0 alpha release of Pyblish.
Pyblish is a plug-in driven automation framework for content and solves the issue of maintaining a fixed level of quality throughout resources shared amongst artists within an organisation.
Some of its benefits are:
To get started, head on to the Guide.
The alpha comes with an Autodesk Maya integration, a few demo plugins and example scenes to help you get started. If you’ve got any questions, post here, comment at the bottom of The Guide or in the Usergroup. If you find anything missing or is wrong in the guide, either tell us about it or fork the repository in which it lies and submit a pull-request.
Coming up next is GUIs, various other integrations - like for Nuke and Houdini - along with extensions - such as for Asana and Open Metadata. But we need your help! If you’d like to be part of something great and want to contribute, speak up or contact me directly at mar...@abstractractory.io
Looking forward to seeing what you can make with it!
All the best,
Abstract Factory Ltd. and the Pyblish contributors
Eduardo Grana
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Eduardo Graña
www.eduardograna.com.ar
Marcus Ottosson
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Brennan Chapman
Thanks Eduardo, let me know if you need any help!
On 15 September 2014 18:02, Eduardo Grana <eduard...@gmail.com> wrote:
Hey Marcus!This looks great, I'll be testing this asap.Thanks you, Abstract Factory Ltd. and the Pyblish contributors!Cheers,Eduardo
On Sun, Sep 14, 2014 at 2:36 PM, Marcus Ottosson <konstr...@gmail.com> wrote:
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Eduardo Graña
www.eduardograna.com.ar
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Marcus Ottosson
Hey Brennan, thanks a lot for your kind words.
Your comment made me realise that we need a feature-list for Pyblish, so I’m putting one together now, but I can at least say that we’re very much on the same page.
Here’s some links about where we are at currently with the GUI.
I noticed you had ZeroMQ in your list of dependencies, how are you using that currently?
Currently, not at all. That is for our upcoming GUI. As the GUI runs as an external process, we use ZMQ for IPC to whichever host it spawned from.
We’ve recently been implementing ZeroRPC in some of your tools which has worked really well.
That’s great! I’d love to hear more about this.
I’m sure I could develop a plugin that fits in your system and uses ZeroRPC to interact with a host app.
That would be amazing. I’ve got things up and running using ZeroMQ one its own, but I’m sure things can be vastly improved.
I’ll be back with an update on the feature list! Thanks!
Best,
Marcus
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Marcus Ottosson
Preliminary feature list is up!
Going up in the guide once the copywriting has been refined, so let me know if anything is unclear!
Best,
Marcus
Marcus Ottosson
Web Frontend
We’re looking for web-developers to implement the Pyblish web frontend. If you’re interested or know anyone who might be interested, point him or her our way! And if you have any thoughts, concerns or ideas about anything, speak up here.
More information here:
Best,
Marcus
Chad Vernon
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Marcus Ottosson
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Marcus Ottosson
Chad Vernon
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Marcus Ottosson
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Chad Vernon
Marcus Ottosson
but I’ll be glad to answer questions you may have.
That’s good enough for me! Thanks, Chad!
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Justin Israel
I've used Django as well and enjoyed it. But if you don't need an ORM or integrated template engine for your project, and all the bells and whistles, then Django can be a pretty heavy framework. The benefit of Flask is that it is a micro-framework, so you are just going to get the basics like the routing. And then you use the extras that you want on top of that.
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Marcus Ottosson
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Cesar Saez
Asi Sudai
Marcus Ottosson
Thanks Cesar and Asi, it’s getting more clear to me what they both are used for.
About sqlAlchemy, or any database such as Firebase like I had considered initially. Ideally, there’d be as few players involved as possible, and it sounds like just using either Flask or Django would be enough to handle this task.
Here’s how I’m imagining the communication between the two.
- Pyblish sends an HTTP request (RESTful or whatever)
- Django/Flask receives it
- Django/Flask generates HTML for it
- User browses to Django/Flask address, e.g. http://192.168.0.100/pyblish
- User’s browser polls from address every second, so as to not need push notifications
The request would contain something like:
{
"name": "publish",
"source": "\\projects\spiderman\asset\my_asset.mb",
"ip": "192.168.0.20",
"time": "2014-09-29 6:44:12"
}
From which either Django or Flask could browse to the directory and fetch whatever data is related to the source and gather username and host-name from the ip.
How would the communication look with a database involved? What does a database provide to this picture?
Best,
Marcus
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Asi Sudai
How would the communication look with a database involved? What does a database provide to this picture?
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Justin Israel
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Marcus Ottosson
what type of communication you need from between Pyblish and Django directly?
I think this is best answered by the animation and description here:
https://github.com/abstractfactory/pyblish/issues/99
instead they both communicate to the database like this:
Pyblish -→ Database ←- Django/Flask
Thanks Asi, this makes sense, but doesn’t this assume that this database is used for other things, other than Pyblish and this web frontend?
Here is how I’m picturing communication currently.
In which Pyblish doesn’t know about Flask/Django, but it’s plug-in does. Pyblish is only running plug-ins exposed to it at run-time and has no knowledge about what they do or how they work. This way, a plug-in can access the surrounding pipeline, including databases.
If I understood your description, you meant to have a database inbetween plug-in and flask.
The database is either unique to this particular Web Frontend for Pyblish, but you probably meant to have Pyblish communicate with your native pipeline database and for it to communicate with Flask.
But wouldn’t that mean that you would have to “teach” your database about Pyblish? For example, when Pyblish - or rather, a Pyblish plug-in - connects and transmits information to your database, it would need to know to connect to the running Flask instance.
That sounds ideal if you are building Pyblish as one of your tools that all depend on a single database. But for a standalone application that integrates into your pipeline, don’t you think it’s better to have your pipeline integrate at the plug-in level, and thus not require any knowledge at all about Flask or other Frontends supplied by Pyblish?
# Psuedo-code
import mypipeline
import pyblish_flask
class MyPlugin(pyblish_flask.Plugin):
def process(self):
# In this case, Flask integration is hidden away and accepts
# data like a dictionary or what not.
self.notify(mypipeline.data)
Best,
Marcus
Marcus Ottosson
I’m not familiar with Firebase, but I don’t think it is the same thing as sqlAlchemy. sqlAlchemy is an ORM, which gives you an object-oriented abstraction around a database using models.
Ah, that makes sense. Thanks, Justin.
It sounds like you want a single network web service running (a backend powered by either Django or Flask), and for it to provide the RESTful interface to your Pyblish clients?
I think.. so..? From what I gather, you can communicate directly with a running instance of a Flask server, and I was thinking “why not just pass data to it directly then?”
If it isn’t meant to store real production data (as it may just be delegating out to other existing services), but you do want it to have some persistent storage, then it could use an sqlite database for storing state
Using a database for data persistence is making too many assumptions. I can’t assume to have users upload their production data to a database unique to Pyblish. I’d rather have Pyblish expose data already available elsewhere, ideally reading from disk directly.
In this early stage, the only information I’d like to pass along to Django/Flask are paths to the data I’d like it to display, along with perhaps a description of how to display it (“this is an image path”, “this is the source file” etc.)
Do you think that would work?
For persistence of the events themselves there might be a database or just a file. Nothing I’d expose to anyone as it would only be used in cases of Flask/Django restarting/crashing.
The only other thing I could guess you might have meant was to have a local Pyblish service on each host… but I highly doubt that is something you meant.
Could you expand on this?
The way I pictured the communication is the same as browsing to any website. A one-off connection is made, and some data is transferred and received. There is no lasting connection between Pyblish and Flask/Django.
Thanks,
Marcus
Justin Israel
I’m not familiar with Firebase, but I don’t think it is the same thing as sqlAlchemy. sqlAlchemy is an ORM, which gives you an object-oriented abstraction around a database using models.
Ah, that makes sense. Thanks, Justin.
It sounds like you want a single network web service running (a backend powered by either Django or Flask), and for it to provide the RESTful interface to your Pyblish clients?
I think.. so..? From what I gather, you can communicate directly with a running instance of a Flask server, and I was thinking “why not just pass data to it directly then?”
If it isn’t meant to store real production data (as it may just be delegating out to other existing services), but you do want it to have some persistent storage, then it could use an sqlite database for storing state
Using a database for data persistence is making too many assumptions. I can’t assume to have users upload their production data to a database unique to Pyblish. I’d rather have Pyblish expose data already available elsewhere, ideally reading from disk directly.
In this early stage, the only information I’d like to pass along to Django/Flask are paths to the data I’d like it to display, along with perhaps a description of how to display it (“this is an image path”, “this is the source file” etc.)
Do you think that would work?
For persistence of the events themselves there might be a database or just a file. Nothing I’d expose to anyone as it would only be used in cases of Flask/Django restarting/crashing.
The only other thing I could guess you might have meant was to have a local Pyblish service on each host… but I highly doubt that is something you meant.
Could you expand on this?
The way I pictured the communication is the same as browsing to any website. A one-off connection is made, and some data is transferred and received. There is no lasting connection between Pyblish and Flask/Django.
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Marcus Ottosson
A database doesn’t have to mean a big heavy beast that sits next to your application.
I suppose not, but doesn’t it introduce an additional interface for users if they interact with is using something like SqlAlchemy? Having one in the background for concurrency and state seems fair.
A few of those illustrations you made are constructed oddly. There shouldn’t be a database between your plugin and flask (and I am not sure that was implied as a suggestion)…
No, I’m sure it wasn’t, just putting it out there for clarity. Which other illustration did you find odd?
You have to host it with something, which is most commonly uWSGI, fronted by nginx.
Aah, did not know that. I expected Flask to run on a machine and other machines connecting to it’s development instance directly. What are the disadvantages of doing it this way? Maybe something I’ll need to read up on.. I’ve only briefly encountered nginx.
Sure. You just want a basic http service. You make an http request, and it does something and returns a response. Makes sense, and my assumption would be that you would have a Flask instance running on a server within a facility, and all of the client Pyblish libraries (through a plugin as you mentioned) would make requests to the service.
At least, that’s what I’d expect.
Thanks, Justin.
Best,
Marcus
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Justin Israel
A database doesn’t have to mean a big heavy beast that sits next to your application.
I suppose not, but doesn’t it introduce an additional interface for users if they interact with is using something like SqlAlchemy? Having one in the background for concurrency and state seems fair.
A few of those illustrations you made are constructed oddly. There shouldn’t be a database between your plugin and flask (and I am not sure that was implied as a suggestion)…
No, I’m sure it wasn’t, just putting it out there for clarity. Which other illustration did you find odd?
You have to host it with something, which is most commonly uWSGI, fronted by nginx.
Aah, did not know that. I expected Flask to run on a machine and other machines connecting to it’s development instance directly. What are the disadvantages of doing it this way? Maybe something I’ll need to read up on.. I’ve only briefly encountered nginx.
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Marcus Ottosson
It makes no sense to spin up a local web server on every machine, using the development server.
Sorry, I’m talking about running a single instance of Flask on a single computer, thus exposing this IP and port and have other computers connect to it. Like I would assume nginx would do, but wrapping a Flask instance too, is that right?
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Justin Israel
On 29/09/2014 11:48 PM, "Marcus Ottosson" <konstr...@gmail.com> wrote:
>>
>> It makes no sense to spin up a local web server on every machine, using the development server.
>
> Sorry, I’m talking about running a single instance of Flask on a single computer, thus exposing this IP and port and have other computers connect to it. Like I would assume nginx would do, but wrapping a Flask instance too, is that right?
>
There we go. Exactly.
The development server is good enough for testing but generally not up to the task of server multiple clients. uWsgi will let you run your Flask code as an application, and handles stuff like multiple workers and being able to roll your Web service updates without downtime. nginx is the httpserver that can sit in front and reverse proxy to your uWsgi application. It can do stuff like load balancing between more than once instance of your app, and is really strong at caching and serving static content without needing to constantly make your application service do the work.
So ya you spin up your single application server and all your client machines talk to it. Where or not it stores any state behind the scenes is of no consequence to the clients
>>>>>> In which Pyblish doesn’t know about Flask/Django, but it’s plug-in does. Pyblish is only running plug-ins exposed to it at run-time and has no knowledge about what they do or how they work. This way, a plug-in can access the surrounding pipeline, including databases.
>>>>>>
>>>>>> If I understood your description, you meant to have a database inbetween plug-in and flask.
>>>>>>
>>>>>> The database is either unique to this particular Web Frontend for Pyblish, but you probably meant to have Pyblish communicate with your native pipeline database and for it to communicate with Flask.
>>>>>>
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Marcus Ottosson
The development server is good enough for testing but generally not up to the task of server multiple clients.
Aaah, this is what I did not understand. Makes sense, thanks.
Best,
Marcus
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Asi Sudai
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Marcus Ottosson
Hey Asi,
I think you forgot to attach the diagram.
I find it helps leave the little technical details for a second
Not sure I can get less technical than the animation of the end-result. :)
https://github.com/abstractfactory/pyblish/issues/99
Is there anything in particular that you find fuzzy?
Best,
Marcus
Marcus Ottosson
Dependencies and Cascading Updates
Hi guys,
I’m looking for another pair of eyes on a potential feature.
In short, it involves automatically updating assets A, B and C which depend on another asset D, when asset D is updated.
Questions
Is this a problem worth solving?
Have you encountered it before?
- Have you solved it before?
- Can you spot any issues?
Best,
Marcus
Justin Israel
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Marcus Ottosson
Does that at all fit into what you are talking about? I could be off base.
Yeah, those are some of the scenarios I’d expect this feature to fulfill and yeah, it is quite involved and should probably involve a separate, dedicated versioning library.
For the evaluation of versions, such as being either “latest” and “approved”, I’d assume the presence of other pipeline tools as it’s outside the scope of Pyblish. Physically updating an asset is most likely also outside this scope too.
However, I would expect such a process to ultimately produce one or more absolute paths to files in need of updating. This is what Pyblish would use to ultimately produce a new version and allow users to monitor the results, along with distributing the action to a farm or a background process. Pyblish is ultimately about quality controlling assets.
In practice, I would imagine seeing an extension to Pyblish that implements rudimentary versioning, so as to get the feature off the ground, that would ultimately be replaced with whichever library a studio is currently using (if any).
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Marcus Ottosson
I hear that term referred to as “bubble up”
This is a good term. I’ve also heard of it as “trickle down”. I suppose it depends on how you envision the dependency graph in your mind; either as starting from the root of a tree heading up towards the leaves or heading down along its roots. :)
Marcus Ottosson
Back on the topic of a Web Frontent, thanks to everyone for the feedback so far, at this point it seems to me to make the most sense to move forward with Flask for backend, Bootstrap for visuals and Angular for front-end, all of which seem really cool.
I’ve managed to mock up a single-page web-app with AngularJS that lists the contents of a JSON file, as I would imagine it to list the contents of a JSON request via a RESTful POST.
https://github.com/pyblish/pyblish-event
The data is a list of dictionaries.
[
{
"name": "Peter01",
"type": "publish",
"source": "c:\\some\\source\\file.mb",
"date": "2014-10-13 15:56:10",
"author": "Marcus Ottosson",
"host": "Autodesk Maya 2015x64 SP2",
"machine": "alienfx"
}
]
Angular is great with updating the page whenever the data changes, so I can interactively modify the list during run-time with very little changes to the HTML. However, the thing I can’t wrap my head around currently is how I can send it data thru a RESTful request.
I’m looking to do this.
from requests import put, get
put('http://localhost:8888/event',
data={"name": "Peter01",
"type": "publish",
"source": "c:\\some\\source\\file.mb",}).json())
And have this data take part in the page at run-time.
What can I do?
Spontaneously, I was thinking that “if the data is coming from a database, such as MongoDB, and if I could make Angular update whenever the database changes I could also communicate with it through Python and in that way balance the equation”. But ideally I’d like to keep all data in memory initially, until I can find a valid enough reason to transition into using a database. Would MongoDB be suited for this? Is there a more suited alternative?
Best,
Marcus
Justin Israel
It wouldn't matter so much if you were using MongoDB, or MySQL, or completely in memory, since that is all behind the application server either way. When you do a put request to the application server, it can then make that information available to other views.
In terms of how those other view will know about that new data... That depends on how you want to implement it. Probably the most efficient way is to have your frond end (angular) connect on a websocket to your backend (flask) and receive all of its streaming updates through that. So when another client runs that put request, and your application server is done processing it, all of the connected clients could be updated over their websocket.
Other options include long polling from the Web client side to the application server.
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Marcus Ottosson
Hey Justin,
Thanks, that sounds reasonable. But I still can’t grasp how a dictionary from the server can be accessed from Javascript, or Angular.
Some psuedo-code:
data = {} # Access from JS?
app = Flask()
app.start()
In the case of polling, what does JS poll from?
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Justin Israel
- ajax requests - Send a request, and get a response
- websockets - Make an initial handshake and then use an open socket to continue direct communication
- long polling - Make a request that sits on the endpoint, blocking until it finally gets a response, which indicates that something is ready.
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Marcus Ottosson
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Marcus Ottosson
WebSockets worked great for this task! More specifically, socket.io
Here’s how it works currently.
API
Adding entries from Python then looks like this.
from requests import put
put('http://localhost:5000/event', data={'name': 'EventName02'})
Any thoughts?
Best,
Marcus
Justin Israel
socket.io is cool. I wrote a server application for it a while back called Realtime. It allowed a bunch of webclients to connect up and subscribe to channels, by communicating through a message server. Was originally going to be a commercial product for someone but we ended up just throwing it on my github and not going any further with the project.
That seems to work just as you intended. The only thing you may end up exploring further is your url scheme. Like, the PUT in a restful uri usually means to update one or more existing resources, and POST would mean to create one or more new sources. So creating an event may look like this, and possibly return an ID (or not if they aren't being stored)
Get all events
GET /api/events
Get one events
GET /api/events/123
Create a new event
POST /api/events
Update an existing event
PUT /api/events/123
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Marcus Ottosson
socket.io is cool.
Ah, glad to hear someone else is familiar with it. Looks neat, judging from their minimalist website and how easy it was to setup (as in their chat tutorial).
I wrote a server application for it a while back called Realtime. It allowed a bunch of webclients to connect up and subscribe to channels, by communicating through a message server. Was originally going to be a commercial product for someone but we ended up just throwing it on my github and not going any further with the project.
I had a quick look at your github repo, it’s about 3 years old! Looks like I’m late to the party.
- Get all events
- GET /api/events
- Get one events
- GET /api/events/123
- Create a new event
- POST /api/events
- Update an existing event
- PUT /api/events/123
Sounds good to me. I’ve also got a book on the topic which I found quite engaging.
They also speak of POST being for creation and PUT for modification. Spontaneously I considered PUT to be “putting” something into something - like appending to a list - and not for it to already be there.
Anyway, thanks!
Best,
Marcus
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Marcus Ottosson
Hi all,
Frontend is live!
Interact with it using it’s RESTful API
Early, of course, but do let us know what you think of it!
Best,
Marcus
Eduardo Grana
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Marcus Ottosson
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Eduardo Grana
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Marcus Ottosson
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Marcus Ottosson
Hi Eduardo,
I found some time for this, turns out that after the Gevent install from the website I linked to, Event works fine. Don’t forget to start Mongo after you’ve installed it. On Windows you’ll need to specify a database location upon launching, like so:
$ "c:\Program Files\MongoDB 2.6 Standard\bin\mongod.exe" --dbpath c:\my_database_dir
The database should ideally be running somewhere central
I’ve updated the docs with this as well.
Best,
Marcus
Marcus Ottosson
Hi all,
Here’s an update on the GUI front for Pyblish.
Let me know what you think!
Best,
Marcus
Marcus Ottosson
Here’s an integration for Maya.
This involves three major components; the GUI, Pyblish and a middlepoint with which they communicate. The middlepoint consists of a server running in a separate thread from within Maya and an interface with which to implement the functionality required by the GUI. The interface is then passed to the middlepoint upon launching the GUI from within the host.
In the case of Maya, the only real specifics is the requirements of running commands from a separate thread using maya.utils.executeInMainThreadWithResult(). It is then up to implementations of other hosts to provide for host-specifics when it comes to running Pyblish.
The middlepoint is called Pyblish Endpoint
Best,
Marcus
Eduardo Grana
Microsoft Visual C++ Compiler for Python 2.7
and it can be downloaded from here
http://aka.ms/vcpython27 or http://www.microsoft.com/en-us/download/confirmation.aspx?id=44266
once that is installed, no more complain vcvarsall.bat
I´ll go on with the installation and let you know how it goes...
Cheers!
Eduardo
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Marcus Ottosson
Ok, so what was missing was this
That’s good news, thanks for sharing that. Basically, there are two ways of approaching installing gevent; one is to let pip compile it, for which it will need a compiler like the one you posted. The other is to install a pre-compiled binary, like the one I posted. Both will work just fine, the benefit of the compiler is that you may be able to use it to compile for Maya’s Python as well which can be very handy!
I´ll go on with the installation and let you know how it goes…
Cool, are you writing plug-ins to communicate with it too? I don’t think I’d be the only one interested in taking part in that! There’s lots of room for expansion as of yet, you could lead the way in terms of what requirements to follow up on.
Best,
Marcus
Eduardo Grana
- setuptools 6.0 or later is required for Python to automatically detect this compiler package.
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Marcus Ottosson
setuptools 6.0 or later is required for Python to automatically detect this compiler package.
Ah, interesting. I did try and install the compiler, but had no luck. This must have been why. Thanks for pointing this out, I’ll update the docs with this as well.
Another thing that brought my attention was that the requests module was not on
the requirements.txt, maybe you can add it, since if you already have it, wont make any problem
Requests isn’t actually a requirement of Event, but only used in the example on the front-page as it seems to simplify syntax a bit and makes for easier-to-understand examples.
Now that you mention it, there is however one requirement that isn’t required on a local install, which is Gunicorn. Unless you’re using Gunicorn as your server application, I haven’t used anything else and can’t comment much about it. But if you’re just testing things out, you can also run the Flask application directly.
$ python pyblish-event/app/app.py
I mention this because I remember gunicorn had some special requirements of it’s own when installing, but if it gives you lip, just ignore it until you’re distributing the app to a dedicated machine.
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