Inquire Backend Flask Server

1. To deploy:

Create a python3.7 venv (see online tutorials) recommended name inquire_venv

• Activate the venv by doing:

  source "venv_name"/bin/activate

• install all the required packages by navigating into the popbots folder and running

  pip3 install -r pip_requirements.txt

2. To run the Flask server

Use python run_server.py to start the server from this directory.

By default, the server is available at all interfaces on port 9000.

Flags for Theano to use GPU for LSTM model: THEANO_FLAGS='device=gpu,floatX=float32'

Train LSTM model

First, adjust the location paths in train_st_model.py to what you need, then: THEANO_FLAGS='device=gpu,floatX=float32' python3 train_st_model.py

Best Practices

Always:

1. Create a new branch when working on a new feature/fix. Then merge to master.

2. Leave comments in your code and a short description of what your script does in the beginning.

3. If you making a new folder add a README.md that describes the file structure.

4. Update the wiki with what you put in the README. (file structure, descriptions etc.)

General practical stuff

To add a new feature/fix start first start a new branch

git branch <branch_name>

Checkout to that branch

git checkout <branch_name>

When you are done, merge your branch to master

git checkout master

git merge <branch_name>

Make your commit descriptions informative! If you have some uncommitted changes but you want to pull just do git commit -am "WIP" and then pull.

If you are pulling and you want to tell git to keep your changes in case of a conflict use

git pull -s recursive -X ours --no-edit origin <branch_name>