flask/docs/tutorial/dbinit.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

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.. _tutorial-dbinit:
Step 5: Creating The Database
=============================
As outlined earlier, Flaskr is a database powered application, and more
precisely, it is an application powered by a relational database system. Such
systems need a schema that tells them how to store that information.
Before starting the server for the first time, it's important to create
that schema.
Such a schema can be created by piping the ``schema.sql`` file into the
`sqlite3` command as follows::
sqlite3 /tmp/flaskr.db < schema.sql
The downside of this is that it requires the ``sqlite3`` command to be
installed, which is not necessarily the case on every system. This also
requires that you provide the path to the database, which can introduce
errors. It's a good idea to add a function that initializes the database
for you, to the application.
To do this, you can create a function and hook it into a :command:`flask`
command that initializes the database. For now just take a look at the
code segment below. A good place to add this function, and command, is
just below the `connect_db` function in :file:`flaskr.py`::
def init_db():
db = get_db()
with app.open_resource('schema.sql', mode='r') as f:
db.cursor().executescript(f.read())
db.commit()
@app.cli.command('initdb')
def initdb_command():
"""Initializes the database."""
init_db()
print 'Initialized the database.'
The ``app.cli.command()`` decorator registers a new command with the
:command:`flask` script. When the command executes, Flask will automatically
create an application context which is bound to the right application.
Within the function, you can then access :attr:`flask.g` and other things as
you might expect. When the script ends, the application context tears down
and the database connection is released.
You will want to keep an actual function around that initializes the database,
though, so that we can easily create databases in unit tests later on. (For
more information see :ref:`testing`.)
The :func:`~flask.Flask.open_resource` method of the application object
is a convenient helper function that will open a resource that the
application provides. This function opens a file from the resource
location (the :file:`flaskr/flaskr` folder) and allows you to read from it.
It is used in this example to execute a script on the database connection.
The connection object provided by SQLite can give you a cursor object.
On that cursor, there is a method to execute a complete script. Finally, you
only have to commit the changes. SQLite3 and other transactional
databases will not commit unless you explicitly tell it to.
Now, it is possible to create a database with the :command:`flask` script::
flask initdb
Initialized the database.
.. admonition:: Troubleshooting
If you get an exception later on stating that a table cannot be found, check
that you did execute the ``initdb`` command and that your table names are
correct (singular vs. plural, for example).
Continue with :ref:`tutorial-views`