You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Simon Bowie aa112934c1 adding Markdown conversion to search 1 yıl önce
nginx-conf Added MariaDB config for production use 3 yıl önce
web adding Markdown conversion to search 1 yıl önce
.env.template updating README for documentation 1 yıl önce
.gitignore htmx, tailwind, new css 1 yıl önce
LICENSE adding explicit license 1 yıl önce
README.md changes to README.md 1 yıl önce
database_functions.sh changes to database script and adding typology 1 yıl önce
docker-compose.prod.yml changes for new database structure and adding MariaDB to dev environ 2 yıl önce
docker-compose.yml htmx, tailwind, new css 1 yıl önce

README.md

One of the key deliverables for Work Package 6 of the COPIM project is “an online resource detailing opportunities for experimental book publishing”. We’ve decided to put this together in the form of an online compendium with details of software, practices, examples, and sensitivities that can be used for experimental publishing.

The Experimental Publishing Compendium will build on this review of tools to present a resource for any researcher, artist, or publisher looking to try experimental publishing. This compendium includes not only software tools that can be used to do experimental publishing but practices of experimental publishing and examples of experimental publications.

application structure

The Experimental Publishing Compendium is a Python application using the Flask framework to render as a website and to provide functions around user authentication and login as well as retrieving data from the underlying database. The Flask framework uses a few HTML template pages to render different pages efficiently based on routes defined in Python files.

The database is a MariaDB SQL database with a basic structure of Resources, Relationships, and Users. Resources are divided into tools, practices, and books and the table contains fields for these various types of resources. Relationships defines the links between resources using the resource ID in the Resource table: these are rendered on the site as connections between, say, a tool and a practice. Users contains the site’s users with basic details like email address and hashed password. This simple structure provides flexibility for displaying resources with filters and to illustrate the connections between various resources.

RESTful API

The application has a simple RESTful API deployed using Marshmallow to define schemas based on the SQLAlchemy database models. It allows a simple JSON export of users (login required), tools, practices, and books.

The API is relatively open and is available at ./api

deployment instructions

environment files

To deploy this environment, first copy env.template to a new file, env.dev. Fill in the appropriate environment variables.

Docker Compose

In the command line, navigate to the directory where this repository is stored on your local machine and run:

docker-compose up -d --build

Docker should build the application environment comprising a Python container running Flask and a database container running MariaDB.

The website should then be available in the browser at ‘localhost:5000’.

To take down the environment, run:

docker-compose down

populating the database

To intially create the database and a database user:

docker-compose exec -it db mariadb -u root -p

Enter your root password as defined in .env.dev.

CREATE DATABASE compendium; CREATE USER 'flask'@'%' IDENTIFIED BY '[PASSWORD]'; GRANT CREATE, INSERT, UPDATE, SELECT, DELETE ON compendium.* TO 'flask'@'%';

Restart the containers to allow Flask to build the database tables:

docker-compose down docker-compose up -d --build

You can then use database_functions.sh and an SQL file to populate the database e.g.

./database_functions -i ./db_imports/compendium_db_20230112.sql

database functions

This repository contains a shell script to perform various database functions including importing a whole database from SQL file, exporting the database in SQL, exporting individual tables as tab-delimited txt file, and importing individual tables from tab-delimited txt file.

Run ./database_functions -h to see the instructions for this script.

legacy database instructions:

The following is no longer required in Flask-SQLAlchemy 3. See https://stackoverflow.com/questions/73968584/flask-sqlalchemy-db-create-all-got-an-unexpected-keyword-argument-app

To build the database tables run:

docker exec -it python python from app import db, create_app, models db.create_all(app=create_app())

credits

Content in the Experimental Publishing Compendium is © 2022–2023 COPIM and licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).

Book cover data is from the Open Library Covers API.

The Experimental Publishing Compendium’s source code is available at https://github.com/COPIM/expub_compendium and is licensed under the MIT License.

The Experimental Publishing Compendium was developed by Simon Bowie and designed by Joel Galvez and Martina Vanini.