My company has a C/C++ application developed using Visual Studio. Currently we have a Visual Basic plugin which lets you open a built-in text editor and run VB code. This built-in text editor gives the user all the basic debugging tools (break, watch, step...). I was wondering how could I do that using Python. The tricky part is that the python interpreter has to be launched from inside the main application, so that they have access to the same memory space.
I already have a swig interface for the application API and did a proof of concept VB script in which I loaded Python as a DLL and executed a script as described here. This works perfectly when I am sure the script has no bugs, but it would be much easier if I could have some sort of interface which I can debug the script being executed.
I had a look into the pdb module, but it dosent look like the way to go. If someone could just point me into the right direction it would be much appreciated.
I've had some luck embedding Spyder in a C/C++ program that I had created wrappers for (using PySide). Since the wrappers included the main application logic, I turned the program into a python application and then embedded Spyder using one of their examples.
However, it uses pdb or winpdb under the hood, so complete functionality is still not there IMHO.
Related
I have a python script/app which is running on RPi in .py file. Now I need to share this app, but I want to protect the code.
On windows I always export it to .exe and share it in order to make it executable and protect the code (mostly using python auto-py-to-exepython auto-py-to-exe). What about Raspbian? Any suggestions?
Regards
The theoretical aspects if you can obfuscate python sourcecorde are already widely discussed for example in this stackoverflow question.
If you just want to make it a little bit harder for someone to read your code compiling it as .pyc could be a solution or maybe your .exe export even runs with WINE on raspbian.
Python, being a byte-code-compiled interpreted language, is very difficult to lock down.
So you have to apply ordinary commercial methods.
Licenses or any other something like that.
Offer web based service like PaaS, SaaS
I'm new to Python scripting in NUKE. I'm using VS code as my IDE.
Question: is there any way to add a NUKE API to VS code intelsense?
*Nuke is a software made by foundry(https://www.foundry.com/products/nuke-family/nuke) used in film post productions. nuke itself has an built in IDE but it's very basic.
The foundry offer support on using Nuke as a Python module here : https://learn.foundry.com/nuke/content/comp_environment/script_editor/nuke_python_module.html
Though personally, I would recommend installing a better Python Script Editor into the Nuke UI and working inside of Nuke with that - lots of what you do with Nuke's API is dependent on selecting Nodes or visually confirming your code is working as intended. I feel this is an important aspect of learning Nuke's python API.
I use this : https://github.com/plasmax/PythonEditor
Since it gives you tabs and is generally much nicer to use than Nuke's vanilla script editor. Later on once you've got a handle on this and want to start running Nuke batch scripts via the terminal is more the time when using an external IDE makes more sense. Good luck!
Short version:
Is it possible to create a standalone program that can be distributed to computers that don't have python installed, which writes a python script during runtime and executes it during or shortly after?
Long version:
A project I've been wanting to do for a while is to create a visual programming interface, that lets people use Machine Learning without needing to know python/keras/numpy syntax. Programs like lobe or rapidminer already do this, but they are all bound to their own interfaces and servers. What i would like to do is create a program that:
anyone can use without needing python/anaconda installed
allow the user to create visual scripts like in scratch or google-blocs
generates python code behind the scenes containing keras or tf code
is able to execute the script
is able to show the code to the user for:
educational purposes
allowing the user to use it as a base for a more complex program
Since the generation part would just need to create a text file almost any interface and language like python/java using Qt or C# / javascript using Unity, would qualify. I think that should definitely be doable, probably just very long, but that is not my largest concern.
The problem:
I have tried to search everywhere on the internet about things like standalone python programs which led me to for instance py2exe. Those kind of python-to-exe's work great, but they all require the script to be compiled on a machine containing a python environment. In my case i want to be able to generate a python script on the user's PC, and run it directly after from there.
The alternative
If this isn't possible i might just create the whole AI part myself, not using python nor libraries like keras or tensorflow, but in a unity game for instance. The downside to this would be that it exists already(like rapidminer), it would be less optimized/versatile/customizable and doesn't show what the "real" machine learning script would look.
If there are any other alternatives i would be happy to hear them
PS.
I have mostly Python & Keras, moderate Java and little Unity3D or web JS experience
I'm using Windows with anaconda
Distributing to linux/mac would be nice, but not required
maybe you should check the Orange Data Mining software, it's written in python and it has the same purpose as your project (https://orange.biolab.si/). On the other hand, some time ago I tried to compile my app that contains machine learning libraries but to date, I have not been able to achieve it. Instead, what I use is the WINPYTHON project, this is a portable Anaconda software that allows you to run projects on any PC without the need to install anything (https://winpython.github.io/).
Yes, it is possible!
I had the same requirement, so I wrote my visual programming language and IDE...
...that could generate an almost python-like script, and which is compiled natively inside the app, without the use of any external compilers or libraries.
My target architecture was mobile devices, but it also works on browsers via the unity plugin.
...and yes, that's correct, it runs natively on your phone or tablet in a simulated sandbox, with its own built-in IDE.
It's written in C#, and implemented in Unity3d
You can check it out at https://aiBoard.blog
..and see the videos at https://youtu.be/DIDgu9jrdLc
I'm designing musical training games using JUCE -- a multiplatform C++ framework that allows me to code audio/visuals close to the wire.
However, I have coded my gameplay (control flow / data-processing) in Python -- it is complex and I wish to keep changing it so I can experiment with different gameplays. Python is ideal for this kind of rapid prototyping work.
So I would like my (platform independent, so Win/OSX/Lin/iOS/And) C++ to start up a Python runtime, feed it a .py file, and then call various functions in that .py. Also I would like to be able to call back to the C++ code from the .py.
Here is the relevant official Python documentation: https://docs.python.org/2/extending/extending.html
And here is a CodeProject article: http://www.codeproject.com/Articles/11805/Embedding-Python-in-C-C-Part-I
However, neither of them seem to address the issue of multiplatform.
The technique seems to be to link with the library libpython.a, and #include which contains the various functions for starting up the runtime environment, loading scripts, executing python-code, etc.
But surely this libpython.a would need to be compiled separately per platform? If so, this wouldn't be a very clean solution, so could I instead add the Python source code to my project and get it to compile the .a?
How can I go about doing this?
EDIT: https://wiki.python.org/moin/boost.python/EmbeddingPython
EDIT2: I'm pretty sure trying to bring in the full CPython source code is overkill here -- someone must have made some stripped down Python implementation in C/C++ that doesn't support any system-calls/multithreading/fancy-stuff -- just works through Python syntax line by line. Looking thru https://wiki.python.org/moin/PythonImplementations but I can't see an obvious candidate.
EDIT3: https://github.com/micropython/micropython should be added to that last page, but still it doesn't look like it is what I'm after
There's an entire chapter of the Python docs that explain the different approaches you can take embedding a Python interpreter into another app.
Embedding Python is similar to extending it, but not quite. The
difference is that when you extend Python, the main program of the
application is still the Python interpreter, while if you embed
Python, the main program may have nothing to do with Python — instead,
some parts of the application occasionally call the Python interpreter
to run some Python code.
So if you are embedding Python, you are providing your own main
program. One of the things this main program has to do is initialize
the Python interpreter. At the very least, you have to call the
function Py_Initialize(). There are optional calls to pass command
line arguments to Python. Then later you can call the interpreter from
any part of the application.
There are several different ways to call the interpreter: you can pass
a string containing Python statements to PyRun_SimpleString(), or you
can pass a stdio file pointer and a file name (for identification in
error messages only) to PyRun_SimpleFile(). You can also call the
lower-level operations described in the previous chapters to construct
and use Python objects.
A simple demo of embedding Python can be found in the directory
Demo/embed/ of the source distribution.
I recently decided to create a project that mixes C++ with Python, thus getting the best of both worlds. My idea was to do rapid prototyping of classes and functions in Python for obvious reasons, but still being able to call C++ code within Python (for obvious reasons as well). So instead of embedding Python in the C++ framework, I suggest you do the opposite: embed your C++ framework into a Python project. In order to do so, you just have to write very simple interface files and let Swig take care of the interfacing part.
If you want to start from scratch, there's a nice tool called cookiecutter that can be used to generate a project templates. You can choose either the cookiecutter-pypackage, or the cookiecutter-pylibrary, the latter improving over the former as described here. Interestingly, you can also use the cookiecutter code to generate the structure of a C++ project. This empty project uses the CMake build system, which IMHO is the best framework for developing platform independent C++ code. I then had to decide on the directory structure for this mixed project, so one of my previous posts describes this in detail. Good luck!
I'm using SWIG to embed Python into my C++ application, and to extend it as well, i.e. access my C++ API in Python outside my application. SWIG and Python are multi-platform, so that is not really an issue. One of the main advantage of SWIG is that it can generate bindings for a lot of languages. There are also a lot of C++ code wrappers that could be used, for example boost.python or cython.
Check these links on SO:
Extending python - to swig, not to swig or Cython
Exposing a C++ API to Python
Or you can go the hard way and use plain Python/C API.
I want to add scripting capabilities to my application and I just came across python4delphi http://code.google.com/p/python4delphi/, which seems to be stable.
At first sight it looks very easy to use on the developers side, but I couldn't find a way to debug a script. Would be great if I could embed the IDLE IDE in my application, I just have no idea how to do it.
Is there a easy way to add debugging capabilities with python4delphi? Should I use other script engines like pascalScript (seems to have been discontinued)?
Edit: After having a look at PySctipt and pdb I realized that what I am looking is more like a visual editor with embedded debugging and the capability to read python4delphi custom modules (the ones where I export my delphi objects. Being a python noob I have no idea how p4d does this). I am probably asking too much, but would be great to find an implementation of that and not having to code it all from scratch.
Python is really a great language.
But if you need to embed script, with debug, in a Delphi application you should considere Pascal scripting, which is more available in Delphi.
I use the excellent PascalScipt, in the exemples you will see editor, debugger and a lot of other functions.