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Address #1902: Converts example/flaskr to have a setup.py (#1945)

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* 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
This commit is contained in:
Kyle Lawlor 2016-07-05 20:30:59 -04:00 • committed by David Lord
parent 1ffd07ff5a
commit 17d4cb3828
26 changed files with 323 additions and 127 deletions
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9
docs/tutorial/introduction.rst
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@ -3,8 +3,9 @@
Introducing Flaskr
==================
We will call our blogging application Flaskr, but feel free to choose your own
less Web-2.0-ish name ;) Essentially, we want it to do the following things:
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.
@ -14,8 +15,8 @@ less Web-2.0-ish name ;) Essentially, we want it to do the following things:
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.
We will be using SQLite3 directly for this application because it's good
enough for an application of this size. For larger applications, however,
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