forked from orbit-oss/flask
Rewrapped lines
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3 changed files with 20 additions and 12 deletions
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@ -4,11 +4,12 @@ Step 2: Application Setup Code
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==============================
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Now that we have the schema in place we can create the application module.
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Let's call it flaskr.py. We will place this file inside the flask folder.
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We will begin by adding the imports we need and by adding the config section.
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For small applications, it is possible to drop the configuration directly into
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the module, and this is what we will be doing here. However a cleaner solution would be to create a separate `.ini` or `.py` file and load that or import the
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values from there.
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Let's call it flaskr.py. We will place this file inside the flask folder.
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We will begin by adding the imports we need and by adding the config
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section. For small applications, it is possible to drop the configuration
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directly into the module, and this is what we will be doing here. However
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a cleaner solution would be to create a separate `.ini` or `.py` file and
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load that or import the values from there.
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First we add the imports in `flaskr.py`::
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@ -65,10 +66,13 @@ debug flag enables or disables the interactive debugger. *Never leave
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debug mode activated in a production system*, because it will allow users to
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execute code on the server!
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We will also add a method that allows for easily connecting to the specified database. This can be used to open a connection on request and also from the interactive Python shell or a script. This will come in handy later. We create a
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simple database connection through SQLite and then tell it to use the
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:class:`sqlite3.Row` object to represent rows. This allows us to treat
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the rows as if they were dictionaries instead of tuples.
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We will also add a method that allows for easily connecting to the
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specified database. This can be used to open a connection on request and
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also from the interactive Python shell or a script. This will come in
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handy later. We create a simple database connection through SQLite and
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then tell it to use the :class:`sqlite3.Row` object to represent rows.
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This allows us to treat the rows as if they were dictionaries instead of
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tuples.
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::
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