A flasky app for IG file service.
Run the following commands to bootstrap your environment
git clone https://github.com/lonsty/IGFileService cd IGFileService pipenv install --dev cp .env.example .env npm install npm start # run the webpack dev server and flask server using concurrently
You will see a pretty welcome screen.
Once you have installed your DBMS, run the following to create your app's database tables and perform the initial migration
flask db init flask db migrate flask db upgrade npm start
To deploy:
export FLASK_ENV=production export FLASK_DEBUG=0 export DATABASE_URL="<YOUR DATABASE URL>" npm run build # build assets with webpack flask run # start the flask server
In your production environment, make sure the FLASK_DEBUG environment variable is unset or is set to 0.
To open the interactive shell, run
flask shell
By default, you will have access to the flask app.
To run all tests, run
flask test
To run the linter, run
flask lint
The lint command will attempt to fix any linting/style errors in the code. If you only want to know if the code will pass CI and do not wish for the linter to make changes, add the --check argument.
Whenever a database migration needs to be made. Run the following commands
flask db migrate
This will generate a new migration script. Then run
flask db upgrade
To apply the migration.
For a full migration command reference, run flask db --help.
This app can be run completely using Docker and docker-compose. Before starting, make sure to create a new copy of .env.example called .env. You will need to start the development version of the app at least once before running other Docker commands, as starting the dev app bootstraps a necessary file, webpack/manifest.json.
There are three main services:
To run the development version of the app
docker-compose up flask-dev
To run the production version of the app
docker-compose up flask-prod
The list of environment: variables in the docker-compose.yml file takes precedence over any variables specified in .env.
To run any commands using the Flask CLI
docker-compose run --rm manage <<COMMAND>>
Therefore, to initialize a database you would run
docker-compose run --rm manage db init
A docker volume node-modules is created to store NPM packages and is reused across the dev and prod versions of the application. For the purposes of DB testing with sqlite, the file dev.db is mounted to all containers. This volume mount should be removed from docker-compose.yml if a production DB server is used.
Files placed inside the assets directory and its subdirectories (excluding js and css) will be copied by webpack's file-loader into the static/build directory, with hashes of their contents appended to their names. For instance, if you have the file assets/img/favicon.ico, this will get copied into something like static/build/img/favicon.fec40b1d14528bf9179da3b6b78079ad.ico. You can then put this line into your header:
<link rel="shortcut icon" href="{{asset_url_for('img/favicon.ico') }}">
to refer to it inside your HTML page. If all of your static files are managed this way, then their filenames will change whenever their contents do, and you can ask Flask to tell web browsers that they should cache all your assets forever by including the following line in your settings.py:
SEND_FILE_MAX_AGE_DEFAULT = 31556926 # one year