flask/docs/tutorial/introduction.rst
Kyle Lawlor 17d4cb3828 Address #1902: Converts example/flaskr to have a setup.py (#1945)
* Converts example/flaskr to have a setup.py

Makes the flaskr app easier to run, ex. workflow:
- pip install --editable .
- export FLASK_APP=flaskr.flaskr
- flask initdb
- flask run

Testing is also easier now:
- python setup.py test

* Fixed an import error in flaskr/tests

- the statement `import flaskr` caused errors in python3
- `from . import flaskr` fixes the issue in 2.7.11 and 3.5.1

* Better project structure and updates the docs

- Re-factors *flaskr*'s project structure a bit
- Updates docs to make sense with the new structure
  - Adds a new step about installing Flask apps with setuptools
  - Switches first-person style writing to second-person (reads better IMO)
  - Adds segments in *testing.rst* for running tests with setuptools

* Remove __init__.py from tests

- py.test recommends not using __init__.py

* Fix testing import errors
2016-07-05 17:30:59 -07:00

34 lines
1.3 KiB
ReStructuredText

.. _tutorial-introduction:
Introducing Flaskr
==================
This tutorial will demonstrate a blogging application named Flaskr, but feel
free to choose your own less Web-2.0-ish name ;) Essentially, it will do the
following things:
1. Let the user sign in and out with credentials specified in the
configuration. Only one user is supported.
2. When the user is logged in, they can add new entries to the page
consisting of a text-only title and some HTML for the text. This HTML
is not sanitized because we trust the user here.
3. The index page shows all entries so far in reverse chronological order
(newest on top) and the user can add new ones from there if logged in.
SQLite3 will be used directly for this application because it's good enough
for an application of this size. For larger applications, however,
it makes a lot of sense to use `SQLAlchemy`_, as it handles database
connections in a more intelligent way, allowing you to target different
relational databases at once and more. You might also want to consider
one of the popular NoSQL databases if your data is more suited for those.
Here a screenshot of the final application:
.. image:: ../_static/flaskr.png
:align: center
:class: screenshot
:alt: screenshot of the final application
Continue with :ref:`tutorial-folders`.
.. _SQLAlchemy: http://www.sqlalchemy.org/