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SQLAlchemy also supports some dialect-specific types to handle columns that occur only in particular databases. You can even create your own types if you need to do so. For full information, look at the SQLAlchemy types documentation at http://www.sqlalchemy.org/docs/05/types.html. You can get information about the columns used in a table via the table s .columns attribute. Add the following to the end of the metadata_test.py example: for column in page_table.columns: print "Column Table name: ", column.type If you run it again, you ll see this output including the column information: $ python metadata_test.py Table name: page t is page_table: True Column: Integer() Column: Unicode(length=255) Column: Unicode(length=255) Column: Text(length=None, convert_unicode=False, assert_unicode=None) At this stage, the metadata is just information; it doesn t relate to any properties of a real database. To connect the metadata to a real database, you need to bind the metadata object to an engine. Add the following to the end of the metadata_test.py example: from sqlalchemy.engine import create_engine engine = create_engine('sqlite:///:memory:') metadata.bind = engine At this point, the metadata is connected to the database via the engine. Once again, I ve chosen to use an in-memory SQLite database for the example, but you are free to use different parameters to create_engine() if you prefer.

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It is worth being aware that you can have SQLAlchemy automatically convert all string types to handle Unicode automatically if you set up the engine like this:

Listing 7-24. The constructor of the handle item HandleItem::HandleItem( QGraphicsItem *item, QGraphicsScene *scene, QColor color, HandleItem::HandleRole role, QList<HandleItem*> handles ) : QGraphicsItem( 0, scene )

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In addition, you should eliminate keys from memory immediately after using them, as process memory may periodically get paged or swapped to disk by the virtual memory subsystem of your operating system If, for instance, your application uses a dialog box to ask a user for a password, be sure to zero out and free the memory objects used to construct that dialog box after you have received the password In fact, one way to attack a system and steal passwords and keys is to cause it to core dump and then look through the swap file for passwords and keys! Finally, it is often desirable to generate a key from a password However, as we demonstrated in 9, passwords (and hence keys generated from them) can be susceptible to dictionary attacks The number of possible 128-bit keys is significantly larger than, say, the number of 8-character alphanumeric passwords.

create_engine('sqlite:///:memory:', convert_unicode=True)

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{ m_role = role; m_color = color; m_item = item; m_handles = handles; m_pressed = false; setZValue( 100 ); setFlag( ItemIsMovable ); } Because the class actually implements three different handles, it often uses switch statements to differentiate between the different roles (see Listing 7-25, which shows the boundingRect method). The bounding rectangle is defined by the location of the bounding rectangle of the shape that is handled. The handles do not have a position of their own; instead they are entirely based on the location and size of the handled shape. Listing 7-25. Determining the bounding rectangle of the handles QRectF HandleItem::boundingRect() const { QPointF point = m_item->boundingRect().center(); switch( m_role ) { case CenterHandle: return QRectF( point-QPointF(5, 5), QSize( 10, 10 ) ); case RightHandle: point.setX( m_item->boundingRect().right() ); return QRectF( point-QPointF(3, 5), QSize( 6, 10 ) ); case TopHandle: point.setY( m_item->boundingRect().top() ); return QRectF( point-QPointF(5, 3), QSize( 10, 6 ) ); } return QRectF(); } The paint method shown in Listing 7-26 uses the boundingRect method to determine where and how to draw the different handles. The center handle is drawn as a circle, while the top and right handles are drawn as arrows pointing up and right.

As such, if you need to generate a cryptographic key from a password, you should use a password-based encryption scheme such as PKCS #5, as specified in RFC 2898 (see wwwietforg/rfc/rfc2898txt) In the most basic PKCS #5 scheme, passwords are salted and then hashed many times (eg, 1,000 times) to make dictionary attacks harder Of course, you should not implement password-based encryption schemes yourself, but instead use already implemented ones as provided by, for instance, the PBEKeySpec and PBEParameterSpec classes in the Java Cryptography Extension (JCE)..

In this book, you will instead use the Unicode type explicitly when you want to work with Unicode strings, but some Pylons developers prefer to take this shortcut.

Note When painting the top and right handles, use the center method to find the center point of the

SQLAlchemy now has enough information to allow you to start manipulating the database with the SQL Expression API, but the metadata object has a few more tricks. If the tables described by the metadata don t actually exist in the database, the metadata object can be used to create them. Add this line to the end of the metadata_test.py file: metadata.create_all(checkfirst=True) The checkfirst=True argument means it will create the table only if it doesn t already exist. You ll notice that you didn t need a connection in order to create the tables. This is because the metadata object creates and closes a connection automatically from the engine. If tables exist in the database that have not yet been defined in the metadata object, you can have SQLAlchemy automatically reflect the information like this: comment_table = schema.Table('comment', metadata, autoload=True)

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