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There is no need to wrap it with a query. You can just add a filter:

    mynewquery = myquery.filter(lambda c: c.name > 'G')
The new query will produce the following SQL:

    SELECT `c`.`id`
    FROM `customer` `c`
      LEFT JOIN `order` `order-1`
        ON `c`.`id` = `order-1`.`customer`
    WHERE `c`.`name` > 'G'
    GROUP BY `c`.`id`
    HAVING coalesce(SUM(`order-1`.`total_price`), 0) > 1000


Well right, this is exactly a SQLAlchemy-style syntax, except a tad more verbose :). This is the "dropping into a SQLAlchemy-style approach" I referred to.

As far as the "AST allows caching" advantage, over at https://bitbucket.org/zzzeek/sqlalchemy/issue/3054/new-idea-... we're working out a way to give people access to the "lambda: <X>" -> cached SQL in a similar way, if they want it.




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