We are using cgit and Trac to browse our source from web browsers. One thing I'm missing is crossreferencing (i.e. links in the source code to the token definition). I've seen lxr, but it doesn't seem to plug into cgit or anything else.
Have you found anything of the sort?
Cheers,
Álex
Try OpenGrok
It supports Git and Python.
Related
So I was trying to host a simple python script on Heroku.com, but encountered this error. After a little googling, I found this on the Heroku's website: git, Heroku: pre-receive hook declined, Make sure you are pushing a repo that contains a proper supported app ( Rails, Django etc.) and you are not just pushing some random repo to test it out.
Problem is I have no idea how these work, and few tutorials I looked up were for more detailed use of those frameworks. What I need to know is how can i use them with a simple 1 file python script. Thanks in advance.
Okay I got it. It was about some unused modules in requirements.txt, I'm an idiot for not reading the output properly 🤦♂️
I need some help with the Google IoT Core API for Python...
For now I'm able to create and delete a registry as needed but, I need to also edit the registry to add more topics to it.
I researched a lot the documentation but no luck, maybe someone here have a similar issue or request? I need to be able to add Topics to a existent registry with active devices in it (no delete and re-creation possible?)
Any help is Greatly appretiated
EDIT: I found this reference: Link to API Reference
But I cant issue the command correctly :( a example could be usefull
You may use the google SDK to edit the registry and wrap the Shell command in a python script that format the topics, the proyect name, etc... the shell comand has this sctructure:
gcloud iot devices update {DEVICE_ID}
--project={PROJECT_ID}
--region={REGION}
--registry={REGISTRY_ID}
For more information of the shell comand check the documentation:
google registry docs
I am trying to create a script that get the data from a google keep list I was thinking Google Takeout might do part of what I want but I cannot find a API to automate the downloads. Does anyone know a way to grab this data via script (python/bash) so that I can easily extract what I need?
I am not sure if it is allowed or not, but you could login via a BeautifulSoup session and navigate to the site you wish to parse.
I've written a quite similar script for Python, you can find it at github, i thinkt it's pretty self-explanatory but if you should require any more help feel free to ask.
You could use selenium library for that.
Used the framework to scrape the keep.google.com webpage for all the notes and export them to a csv file
This Might be helpful, i made the script to backup my notes to my computer
https://github.com/darshkpatel/GoogleKeep_Backup
There is no API for Google Keep at this time. I don't think your going to be able automate Google Takeout either the best you will be able to do would be run it manually then create your own application to import it were ever it is you want to import it to.
Here is an automated solution for this question: a link!
Or just execute these commands in the terminal:
git clone https://github.com/Dmitry9/exportKeep.git;
cd exportKeep;
npm install;
npm run scrape;
After all dependencies installed (could take a minute or so) chrome instance will navigate to the sign-in page. After posting credentials it will scroll to the bottom of the window to force the browser to load all of the notes inside DOM. Inspecting the output of the terminal you will find a path to the saved JSON file.
In the meanwhile there is an API, see here: https://developers.google.com/keep/api/reference/rest
Also, there is a python library that implements this API (I'm not the author of the library): https://github.com/kiwiz/gkeepapi
I'm thinking if there already is some sort of online live python console (web-based) with open source code available. Anyone know of anything?
It would be really useful to have console in Django admin (like running python manage.py shell on the server's terminal), so it would be great to have django/any wsgi aplication, that can be used to enable web based live console access.
Thanks
You're looking for the Werkzug debugger.
http://werkzeug.pocoo.org/
http://werkzeug.pocoo.org/docs/debug/
It's got an interactive javascript based in-browser debugger for your WSGI projects, among many other great tools. Fantastic stuff.
For Django specifically, there's also RunServerPlus, which is part of the django-extensions package.
https://github.com/django-extensions/django-extensions
You should check out Python Anywhere. You can run python web apps, you get an SQL database, and you get a bash shell in your browser.
Have a look at python shell from Google. There's a link to source code at the top. Loading Django environment into it might be not very easy but I believe it's possible.
I'm not sure if this meets your desire but you might take a look at Chrome extension : https://chrome.google.com/webstore/detail/gdiimmpmdoofmahingpgabiikimjgcia
There is a great website called Codecademy. It teaches the fundamentals of Python, Ruby, Javascript, and HTML/CSS.
They also have online consoles for each of the languages they teach, excluding HTML/CSS. This website is Codecademy Labs. Codecademy Labs has a console you can type directly in, and an editor that displays output in the console. I hope that this helped you find what you were looking for!
I am attempting to work with Google Checkout on Google App Engine. Currently, I am writing everything in Python and have the checkout process working. I am having some difficulty getting the notifications of processed orders functioning. I've been searching for Python examples, but thus far have been unsuccessful. Programming directly off of the documentation provided by Google, I have not been able to get my notifications working either. Would anyone happen to have a framework/demo Google Checkout Notification example in Python?
The chippyshop source has a nice example of a python Google Checkout implementation that should get you moving in the right direction.
UPDATE: I actually ended up needing to do this myself so I extended the example linked above and turned it into a reusable RequestHandler for use on GAE.
You can find the source and examples on github which should serve as a good starting point for any others following this path.