sorry I meant use the replace() function to change the {} values, NOT the replicate() function
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Access 2000 database fields contain expressions that reference id fields in other tables delimited by "{}"
We have a database with three tables: Rules, Conditions, Actions. I cannot change with database and I have to sort thru the information in it. I need to be able to filter thru the "Rules" table, check to see if my information meets any of the "Conditions" and if it does apply the "Actions". The problem is that the condition expression in the Rules table field could look something like this: "{AID_Sam} AND NOT {AID_BOB}" . {AID_Sam} is a reference to the "Conditions" table ID field "AID_SAM". The definition field would be [AuthorID] = "SAM". In other words the condition is actually "[AuthorID] = "SAM" AND NOT [AuthorID] = "BOB". I doubt this makes any sense, but I need to be able to parse this out to determine if the Rule applies and the action, that I need to take. Maybe I am making this harder that it needs to be. Any help would be greatly appreciated.
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Answers
You right, I have been using the replace() function.
I loop through the condition to create the expression, then test it againt the data to see if it applies....Then, I go to the action and do the same thing. The action can also have several conditions embeded in it to form the expession. I was hoping that there may be some easier way. Any thoughts?
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by: kmslogicPosted on 2009-05-03 at 21:43:51ID: 24292574
I think you have it right. There must be some existing code (from a previous employee?) to parse and lookup the embedded values in rules.
To do this you'll need to write some Visual Basic code to parse out the curly brace values and then look them up int he conditions table to turn them into valid SQL. This instr() function will allow you to find the opening and closing curly braces and you can extract what's in between with mid()
Another approach which seems kind of fun (it would help to see at least a portion of your three tables) would be to read the conditions table into arrays and then use the replicate() function to change the {} values to valid SQL