|Watson Dialog Specification|
The user interacts with the Python app which basically is a loop, waiting for the user to end the dialog. The script uses the dialog API to send the user input and obtain a response from Watson. It also checks the dialog profile variables to determine whether there are changes or any variable of interest is set. Depending on state information obtained from the profile variables dashDB is queried. Database results are either directly returned to the user or are used to update the dialog profile.
|Data and Dialog Combined|
Another example for combining dialog and database is to enter a service name, i.e., to request an action. This is detected by the Python script again by checking the profile variables. Then, dashDB is queried and the result is directly returned to the user. This way it would be possible to code up a dialog-driven database client ("Ok DB2" :).
As mentioned above, the code for the combination of dialog and database is available on GitHub along with some instructions. The README contains the output from a sample dialog including lots of debugging information which should help you understanding the data-driven dialog.