# The Works ## Configuration The file `.flaskenv` contains the default configuration. Flask reads the file at startup and adds the contained key-value-pairs as environment variables to the runtime environment. When the Flask app object is being created in `__init__.py`, all environment variables that start with the prefix "FLASK_" are added to the app configuration. This is true for any prefixed environment variable, not just the ones from `.flaskenv`. Configuration values can be overridden by passing another config file to Flask via the `-e` command line switch. It will be processed the same way as `.flaskenv`, which means that all keys must be prefixed with "FLASK_", and takes precedence over the default configuration. Finally, you can override config settings while instantiating the Flask app through the factory. To do this, simply pass a dictionary with the (unprefixed) override settings as named parameter `config` to the `create_app()` method. Settings passed this way take precedence over the default configuration and an optional config file. ## Flask commands Execute commands with `python -m flask `. You don't need to specify `--app the_works` as long as the environment variable "FLASK_APP" is set to "the_works"; the default configuration file does this. Available commands: * `run`: Serve app (don't use for production). * `shell`: start a shell within the app context (I can i.e. import specific table models and test the data structures returned by ORM methods like select()) * ## Dependencies ### Python Packages flask flask-sqlalchemy python-dotenv Pillow pytest flask-debugtoolbar (optional) ### CSS and Javascript PicoCSS (regular version) + SwitchColorMode.js (from Yohn's fork) DataTables.[js|css] ### Icons some icons from heroicons.com ## Other useful stuff ### Export database schema Method 1: `sqlite3 the_works.sqlite .schema > outputfile.sql` Method 2: Open DB in SQLitebrowser and use File -> Export -> Database to SQL file … * keep original CREATE statements * export schema only * overwrite old schema (DROP TABLE, then CREATE TABLE) ### Generate declarative SQLAlchemy code Right now the_works reflects an existing database in order to infer the underlying data models for SQLAlchemy. If I wanted to declare the data models directly instead of using reflection, I would need declarative code. This code can be generated from an existing database with the help of [sqlacodegen](https://pypi.org/project/sqlacodegen/): `sqlacodegen sqlite:///path/to/db.sqlite > outputfile.py` ### Generate `requirements.txt` I use [pipreqs](https://pypi.org/project/pipreqs/) to generate the file `requirements.txt`. The package scans all source files for import statements and uses those to extract all required Pip packages.