Hi, I have similar requirement, is there any answer for this? Thanks Salina ----- Original Message ----- From: Henrique Lira [mailto:henriquedlira@hotmail.com] To: rules-users(a)lists.jboss.org Sent: Tue, 27 Dec 2011 22:12:14 +0800 Subject: [rules-users] Extracting management information from the content of the rules > > Hi, > > I'm doing an evaluation of Guvnor tool, and one of the requirements that we > wish to be met is the ability to extract management reports from the content > of the rules. Let me explain better: assuming I have several rules that > define discounts for products depending on their characteristics, how can I > get, for example, which products have a discount of X%? I tried using the > search function of the Guvnor, but I found it very simple to more managerial > information like this? Is there any other functionality to generate more > complex queries? > > Thanks in advance, > Henrique > > -- > View this message in context: > http://drools.46999.n3.nabble.com/Extracting-management-information-from-... > Sent from the Drools: User forum mailing list archive at Nabble.com. > _______________________________________________ > rules-users mailing list > rules-users(a)lists.jboss.org > https://lists.jboss.org/mailman/listinfo/rules-users > _______________________________________________ rules-users mailing list rules-users(a)lists.jboss.org https://lists.jboss.org/mailman/listinfo/rules-users

The verifier code does not address the extraction of specific fields or values

Two remarks. The verifier code does not address the extraction of specific fields or values; it's primary intent is to discover erroneous constructs such as "field == A && field == B" and its manyfold variations. You might look at its source code, how it gets at patterns and constraints and roll your own. How difficult this is would depend on the complexity of your rules and patterns. Mining for this or that in compiled rules might be putting the cart before the horse. Whenever I encounter a problem where a number of rules emerge, all according to a single pattern and just with variations in the data, I begin to think of a way of building the rules from a handy set of data, and the problem of reporting takes care of itself. -W 2012/1/2 Esteban Aliverti <esteban.aliverti(a)gmail.com&gt; > There is a Drools' module called drools-verifier that can be used to > achieve what you are looking for. Unfortunately there is no integration > with Guvnor. So basically you will need to create your own app using > drools-verifier's API. > > Best Regards, > > XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX > > Esteban Aliverti > - Developer @ http://www.plugtree.com > - Blog @ http://ilesteban.wordpress.com > > > On Mon, Jan 2, 2012 at 7:00 AM, Salina Fung/UFL - ICIL <salina(a)icil.net&gt;wrote: > >> Hi, >> I have similar requirement, is there any answer for this? >> >> >> Thanks >> Salina >> >> >> ----- Original Message ----- >> From: Henrique Lira >> [mailto:henriquedlira@hotmail.com] >> To: rules-users(a)lists.jboss.org >> Sent: >> Tue, 27 Dec 2011 22:12:14 +0800 >> Subject: [rules-users] Extracting management >> information from the content of the rules >> >> >> > >> > Hi, >> > >> > I'm doing an evaluation of Guvnor tool, and one of the requirements >> that we >> > wish to be met is the ability to extract management reports from the >> content >> > of the rules. Let me explain better: assuming I have several rules that >> > define discounts for products depending on their characteristics, how >> can I >> > get, for example, which products have a discount of X%? I tried using >> the >> > search function of the Guvnor, but I found it very simple to more >> managerial >> > information like this? Is there any other functionality to generate >> more >> > complex queries? >> > >> > Thanks in advance, >> > Henrique >> > >> > -- >> > View this message in context: >> > >> http://drools.46999.n3.nabble.com/Extracting-management-information-from-... >> > Sent from the Drools: User forum mailing list archive at Nabble.com. >> > _______________________________________________ >> > rules-users mailing list >> > rules-users(a)lists.jboss.org >> > https://lists.jboss.org/mailman/listinfo/rules-users >> > >> >> _______________________________________________ >> rules-users mailing list >> rules-users(a)lists.jboss.org >> https://lists.jboss.org/mailman/listinfo/rules-users >> > > > _______________________________________________ > rules-users mailing list > rules-users(a)lists.jboss.org > https://lists.jboss.org/mailman/listinfo/rules-users > > _______________________________________________ rules-users mailing list rules-users(a)lists.jboss.org https://lists.jboss.org/mailman/listinfo/rules-users

$p : Product( color == "red", country == "Italy", wt > 10 ) then $p.setPrice( wt * 2.75 ) end

$p : Product( color == "red", country == "Italy", wt > 20 ) then $p.setPrice( wt * 2.00 ) end

Out of curiosity, I'd like to better understand the requirements. Are we talking about rules of the form: when Product( color == "red", country == "Italy", discount > 10 ) then ... end i.e., the discount is stored in some field and constrained by the rules? or when $p : Product( color == "red", country == "Italy", $x : price ) then $p.setPrice( $x * 0.75 ) end More properly, the questions are : 1) is the discount given or computed? 2) is it available (or can be stored) in some data field or is it "transient" ? The RHS of a rule is a sort of "black box" which is more difficult to reason against, so you'll probably need some kind of reified discount: when $p : Product( color == "red", country == "Italy" ) then insertLogical( new Discount( $p, 0.75 ) ); end ----------------------------------------------------------------------------------------------------------------- This said, there is a final, more important question. Are you interested in a report describing the characteristics of the objects which were discounted? For example, you have 1000 discounted products in your system and you want to find a "POSTERIOR" correlation between their features and the discount they got. This is the kind of problems that are solved by data mining techniques, e.g. CARTs (classification and regression trees), Association Rules (not the rules we're used to !!) or Clustering algorithms If instead you want to reason abstractly, using the definitions contained in the rules' LHSs to understand which classes of objects COULD receive some kind of discount, that's a kind of "semantic" problem and I guess that some tableau-like technique could help. This to say that, according to the exact type of "reporting" that you want to build, the "rules" you'd have to write might vary quite a lot. Best Davide -- View this message in context: http://drools.46999.n3.nabble.com/Re-rules-users-Extracting-management-in... Sent from the Drools: User forum mailing list archive at Nabble.com. _______________________________________________ rules-users mailing list rules-users(a)lists.jboss.org https://lists.jboss.org/mailman/listinfo/rules-users

Date: Tue, 3 Jan 2012 06:55:02 -0800 From: dsotty(a)gmail.com To: rules-users(a)lists.jboss.org Subject: Re: [rules-users] Extracting management information from the content of the rules As I suspected - or feared :) Two issues here: Drools creates an abstract model for the LHS but not for the RHS. This mean that extracting the discount from the RHS will be doable, but hardly elegant. The other is that you want to meta-reason on the rules. Drools verifier might indeed give you ideas. It is a tool to extract a meta-representation of a rule and process that as a fact, using meta-rules. Unfortunately, you would have to write your own analysis and reporting meta-rules. Given the nature of your constraints, it seems that they would be equivalent - or close enough - to a decision tree/table. We already generate rules from DTs: I mentioned to manstis the possibility of supporting the inverse transformation. It's not too hard, but will not probably be ready and available in Guvnor before the next version. Keep chasing him, if this would In alternative, maybe the "Monte Carlo" approach could be used: generate a huge amount of random objects, process them, serialize them with their original and final price and finally use some data mining tool (R, weka, knime, etc..). Other options (constraint propagation, semantic classification, etc..) might require to modify the rules, so I'm not sure that they would be feasible at all. We can discuss if interested, of course. -- View this message in context: http://drools.46999.n3.nabble.com/Re-rules-users-Extracting-management-in... Sent from the Drools: User forum mailing list archive at Nabble.com. _______________________________________________ rules-users mailing list rules-users(a)lists.jboss.org https://lists.jboss.org/mailman/listinfo/rules-users