Contains the tool for viewing valency frames and adding user-defined senses to underlying sentences.
data | ||
dockerfiles | ||
src | ||
src_diploma | ||
.gitignore | ||
.gitmodules | ||
Makefile | ||
README.md |
cjvt-valency
Required submodules:
https://gitea.cjvt.si/kristjan/cjvt-corpusparser.git
$ git submodule init
Components
Database (2 containers)
Spin up the database service and create users:
# $ make database-clean # opt
$ make database-service
$ make database-users
Populate the database with data form files:
- ssj500k.xml
- kres.xml
- kres_SRL.json
Set path to files in Makefile
.
# spin up a container with python env
$ make python-env
# install our packages
$ make python-env-install
# run the code
$ make fill_database
If all goes well, we should be able to inspect the database on 0.0.0.0:8087
.
Flask backend (1 container)
Input: see Database
API endpoints:
- GET word list (pre-cached)
- GET reduced frames (pre-cached)
- POST senses
- User auth logic
Vue frontend (1 container)
- ngnix server
Deployment
Preflight:
- get up DB
- prepare DB
Flight:
- start backend
- start frontend