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.. _tutorial-setup:
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Step 2: Application Setup Code
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==============================
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Next, we will create the application module, :file:`flaskr.py`. Just like the
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:file:`schema.sql` file you created in the previous step, this file should be
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placed inside of the :file:`flaskr/flaskr` folder.
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For this tutorial, all the Python code we use will be put into this file
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(except for one line in ``__init__.py``, and any testing or optional files you
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decide to create).
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The first several lines of code in the application module are the needed import
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statements. After that there will be a few lines of configuration code.
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For small applications like ``flaskr``, it is possible to drop the configuration
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directly into the module. However, a cleaner solution is to create a separate
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``.py`` file, load that, and import the values from there.
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Here are the import statements (in :file:`flaskr.py`)::
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import os
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import sqlite3
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from flask import (Flask, request, session, g, redirect, url_for, abort,
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render_template, flash)
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The next couple lines will create the actual application instance and
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initialize it with the config from the same file in :file:`flaskr.py`::
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app = Flask(__name__) # create the application instance :)
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app.config.from_object(__name__) # load config from this file , flaskr.py
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# Load default config and override config from an environment variable
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app.config.update(dict(
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DATABASE=os.path.join(app.root_path, 'flaskr.db'),
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SECRET_KEY='development key',
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USERNAME='admin',
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PASSWORD='default'
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))
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app.config.from_envvar('FLASKR_SETTINGS', silent=True)
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In the above code, the :class:`~flask.Config` object works similarly to a
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dictionary, so it can be updated with new values.
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.. admonition:: Database Path
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Operating systems know the concept of a current working directory for
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each process. Unfortunately, you cannot depend on this in web
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applications because you might have more than one application in the
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same process.
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For this reason the ``app.root_path`` attribute can be used to
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get the path to the application. Together with the ``os.path`` module,
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files can then easily be found. In this example, we place the
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database right next to it.
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For a real-world application, it's recommended to use
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:ref:`instance-folders` instead.
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Usually, it is a good idea to load a separate, environment-specific
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configuration file. Flask allows you to import multiple configurations and it
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will use the setting defined in the last import. This enables robust
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configuration setups. :meth:`~flask.Config.from_envvar` can help achieve
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this. ::
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app.config.from_envvar('FLASKR_SETTINGS', silent=True)
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If you want to do this (not required for this tutorial) simply define the
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environment variable :envvar:`FLASKR_SETTINGS` that points to a config file
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to be loaded. The silent switch just tells Flask to not complain if no such
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environment key is set.
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In addition to that, you can use the :meth:`~flask.Config.from_object`
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method on the config object and provide it with an import name of a
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module. Flask will then initialize the variable from that module. Note
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that in all cases, only variable names that are uppercase are considered.
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The ``SECRET_KEY`` is needed to keep the client-side sessions secure.
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Choose that key wisely and as hard to guess and complex as possible.
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Lastly, add a method that allows for easy connections to the specified
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database. ::
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def connect_db():
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"""Connects to the specific database."""
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rv = sqlite3.connect(app.config['DATABASE'])
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rv.row_factory = sqlite3.Row
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return rv
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This can be used to open a connection on request and also from the
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interactive Python shell or a script. This will come in handy later.
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You can create a simple database connection through SQLite and then tell
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it to use the :class:`sqlite3.Row` object to represent rows. This allows
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the rows to be treated as if they were dictionaries instead of tuples.
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In the next section you will see how to run the application.
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Continue with :ref:`tutorial-packaging`.
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