The last month has been somewhat difficult with regards to time available.
But I've still managed to churn out an early version of what will be the core of the database abstraction layer, the classes that generates the SQL for each database.
The code is currently supporting MySQL, PostgreSQL, Oracle and SQL Server.
Since they will be sent as parameters into DAL, I call them parameters.
They do, however, have more functionality than being mere parameters.
There is a base class, Parameter_Base, that all parameters inherits from, that has four methods:
There are classes like Parameter_Field, Parameter_Expression, Parameter_CASE, Parameter_Function and Parameter_SELECT and so on.
They use each other to generate, for example, a SELECT-statement.
Consequently, Parameter_SELECT has (currently) two properties, fields(list of Parameter_Field) and sources (list of Parameter_Source), which in turn uses other classes.
So when one calls the Parameter_SELECT.AsMySQL function, it loops through the objects in its fields and sources list and calls their .AsMySQL functions. This way, a MySQL specific SQL-representation of the Parameter_SELECT-object is generated.
The parameters: parameter.py
Some tests: parameter_tests.py
Crude documentation: Doc_20100613.pdf
So far, most elements of typical SELECT statements are covered, like expressions and joins.
Stuff like ORDER BY, GROUP BY and HAVING aren't, but from now on, it should be much more easy since they merely reuse the concepts I have already defined.
I'd have to admit, maybe the structure looks pretty natural when you look at it, but it was really quite hard to generalise and simplify the structure while maintaining all the functionality of the language.
Well. I suppose that was it.