Requirements:
.env
file pinned on Slack channelThe project is dockerized and hence it is recommended to use docker-compose
to develop and run services!
.env
file: check the Slack channelInstall dependencies and build docker image:
make setup
To run all the services for the app:
make
To seed DB:
make seed
To run backend:
make backend
To run frontend:
make frontend
To run postgres:
make postgres
Now database can be accessed by Pgadmin
:
If you install new dependencies, clean the docker images with make clean-docker
, then run make setup
and make
again.
Trouble? Feel free to blow everything up with make clean
. Also, you can run docker image ls
to list all images, and docker ps
to see all running images.
If you see message:
Pulling frontend (shoe_project_image:)...
ERROR: The image for the service you're trying to recreate has been removed. If you continue, volume data could be lost. Consider backing up your data before continuing.
make setup
See the docker/Dockerfile.prod
for more details.
TL;DR, run yarn build-prod
, and then just run the server.
The frontend uses React and TypeScript, and bundles assets using Parcel.
Navigate into the UI folder.
cd ui
Run yarn to install deps.
yarn
Run yarn watch to start building development assets. This will not run it's own server, you will instead need to run the go server to view the assets.
yarn watch
To run the UI assets on it's own server, run:
yarn start
Before pushing code, make sure to format the code and run all tests. This can be done by:
make backend-fmt
make backend-test
You can run a single test file by specifying the package it's in:
make backend-test pkg=<package_name>
# eg. make backend-test pkg=restapi
Before code is merged, series of checks are run on the code to make sure it is formatted correctly. You can check locally to make sure none of these issues show up by:
make backend-check
Navigate into the scripts folder.
cd scripts
Set up the virtual environment.
make setup
Run the script by specifying the name of the script file. Make sure the script is included in the scripts folder.
make filename=[filename]
For add_images.py script, images folder with all the images that needs to be uploaded to s3 should be included in the scripts folder