/empty-train

Primary LanguagePython

Dependencies

(Mainly listed as shortcuts to documentation)

  • FastAPI as the base for the backend part.
  • Pydantic for conversion of untyped JSON to typed objects. And because FastAPI automatically supports it and gives you useful error messages if you mess up things.
  • Vue for frontend, using native module support so no npm build step 🎉
  • uvicorn to run the damn thing.

Paths

  • data/train-parts is scanned for datasets
  • filters should contain filter json (but that's not implemented yet, right now it just has a hard-coded FILTERS dict in code)

Installation for development

First, get some datasets together, e.g.

mkdir -p data
mtdata get -l ara-eng -tr OPUS-elrc_2922-v1-ara-eng --compress -o data
mtdata get -l fra-eng -tr OPUS-elitr_eca-v1-eng-fra --compress -o data

Then for development:

python3 -m venv .env
bash --init-file .env/bin/activate
pip install -r requirements.txt
./main.py serve --reload

Then go to http://127.0.0.1:8000/ for the "interface" or http://127.0.0.1:8000/docs for the API.