boyquotes / godot-64

Godot

Godots is a multidroplet management software its architecured in a client server model, it has a comprehensive record of activities happening in the client side and capable of running remote commands on the client system. This can be ideally used for running remote scripts across multiple servers and multiple accounts.

Often there arises a case where we need to run scripts on multiple systems due to resource constraints or demographic reason. so the godots helps in creating digitial ocean droplets as many as required and across multiple accounts. However these are subjected to the respective quotas available for the account.

System Requirements:

Server:

• linux server
• python 3.6+
• mysql 5.7+
• rsync
• sentry

Client:

• linux server with specs required as per requirements
• python 3.6+
• rsync
• sentry
• VNC (optional for GUI)

Use Cases:

1. GUI Testing
2. Datamining
3. Small scale multi server computing (not ideal meant)
4. Image processing across servers
5. Distributed API testing.

Quick Setup:

Code to clone and break reference:

git clone https://github.com/Infosciencelabsdev/Godot
cd Godot
rm -rf .git
cd dots-server

Code to install Flask (only necessary once):

pip3 install flask

Code to configure your flask app (you may need to set these once each time you open a new terminal):

export FLASK_APP=server.py
export FLASK_RUN_HOST=0.0.0.0
export FLASK_RUN_PORT=8080
export FLASK_DEBUG=1

Code to run flask:

flask run

If you're developing in the cs50 IDE, ignore this next part. If you're developing locally, you can probably save time on the environment variables, by installing the python-dotenv package, which automatically loads the settings we're currently setting with export:

pip3 install python-dotenv

If that installation works, you should be able to create a file called .env and add the export statements above to it, that way these configurations won't need to be made every time.

troubleshooting

Virtual Environments (optional)

If you're running this locally, you will likely want to run this program inside a virtual environment - that way changes to your Python configuration don't persist and impact other Python programs on your machine. If you're running this program in a remote environment like Cloud Shell, Cloud9, or cs50, adding a virtual environment within those containers may complicate things more than helping them.

To create a virtual environment (you only need to do this once), run this code in terminal:

python3 -m venv venv

To ENTER your virtual environment (you'll need to do this every time you open up a new terminal), run this code:

. venv/bin/activate

To EXIT your virtual environment (you'll want to do this if you decide to change projects - think of it like shutting this one down), you just need one word:

deactivate

If you're using a virtual environment like Codenvy, the virtual environment produces more problems than it solves, so consider skipping this step.

Python packages

To start, the only package you need to run is flask for (hopefully) obvious reasons.

To install flask, run this code in terminal.

pip3 install flask

Remember, if you're using a virtual environment, these packages will only be installed IN the virtual environment (which is part of why we don't recommend it in cs50 where we won't need it - students will accidentally forget where they've configured different settings).

Troubleshooting package installation

If your IDE throws errors on either of these commands saying that you aren't authorized, your account may not be authorized to install packages on the IDE you're using. There are two ways to work around this. The first is by adding the user flag:

pip3 install --user flask

The other way around this is to try adding the 'switch user and do' command ('sudo' for short):

sudo pip3 install flask

The settings will not be stored between sessions, so every time you open a new terminal, you'll need to run these commands, which are stored in the run-variables.md file for your convenience:

export FLASK_APP=server.py
export FLASK_RUN_HOST=0.0.0.0
export FLASK_RUN_PORT=8080
export FLASK_DEBUG=1

After that you should be able to execute the flask run command normally.

Screenshots:-

Authors

• INFO SCIENCE LABS - Initial work - Info Science Lab

See also the list of contributors who participated in this project.

Contact Us

Email:- [email protected]

License

This project is licensed under the Apache License- see the LICENSE file for details