I only spent a day reading about Drools. The rules I presented looks simple
but the idea was to know if the only solution is to extract all the required
data and pass to the rules engine. Or the rules can be written in such a way
that is can get the required data from the raw data.
Your and Wolfgang example shows that rules can be written over raw data as
well as rules can talk to database. I will go through the documentation to
grasp the power of drools.
Thanks
Bhushan
-----Original Message-----
From: rules-users-bounces(a)lists.jboss.org
[mailto:rules-users-bounces@lists.jboss.org] On Behalf Of Edson Tirelli
Sent: Tuesday, May 19, 2009 8:48 PM
To: Rules Users List
Subject: Re: [rules-users] can drools support complex rules
Your question is funny. First you ask if Drools is capable of managing
complex rules and then you mention examples of extremely simple rules? :)
Drools is FOL complete and so can represent any well formed First Order
Logic expression. Anyway, I will use this message to advertise some of the
temporal reasoning features that we have on Drools 5 for the benefit of
anyone interested.
There are several ways of authoring such rules, depending on how you
model your problem domain. One possible way of doing them is:
#1:
rule "If a customer login within 5 minutes from two different locations,
mark the user invalid."
when
$l1 : CustomerLogin( )
$l2 : CustomerLogin( userId == l1.$id, location != $l1.id, timestamp
after[0s, 5m] $l1.timestamp )
then
// mark user as invalid
end
In the previous example I assumed both login objects would be in working
memory, but you can easily query for the previous login in an external
datasource, pulling the data from the previous login on-demand for the
reasoning cycle.
#2:
rule "If the customer location is not on a list of valid locations, mark the
user invalid"
when
$l : CustomerLogin( location not memberOf $validLocations )
then
// mark the user invalid
end
In the above rule, I assume the valid locations list is a global list, but
you can as easily model locations as being facts on your working memory or a
service end point that you can call to validate the location.
#3:
rule "Customer login from more than 5 locations in the last one month"
when
$customer : Customer( $id : id )
$locations : Set( size > 5 ) from accumulate(
CustomerLogin( customerId == $id, $loc : location )
over window:time( 30d ),
collectSet( $loc ) )
then
// do something as the customer logged in from more than 5 locations in
the last 30 days
end
In the previous rule I decided to use sliding windows, just to show how that
feature can be used to simplify rules, but again, there are several ways of
doing it.
I strongly recommend you read Drools manual.
http://www.jboss.org/drools/documentation.html
Cheers,
Edson
2009/5/19 Bhushan Bhangale <bhushan_bhangale(a)kaleconsultants.com>
Hi,
I recently came across Drools. I gone through the documentation and the
examples provide are quite simple. I want to know if it can be really
applied to complex real world problems.
Take for example,
If a customer login within 5 minutes from two different locations, mark the
user invalid.
How can I write the above rule in drools? I have the data when the user last
logged in and the data of current login. You can say two objects.
May be my understanding is wrong but looks like based on rule I have to pass
all the required data. How can then at real time new rules can be added?
For example,
If the customer location is not on a list of valid locations, mark the user
invalid.
For the above rule I need to pass a list of valid locations as well.
Now how about "Customer login from more than 5 locations in the last one
month"?
Thanks
Mr. Bhangale Bhushan
Associate Manager
Kale Consultants Ltd.
<mailto:bhushan_bhangale@kaleconsultants.com>
bhushan_bhangale(a)kaleconsultants.com
tel:
<
http://www.plaxo.com/click_to_call?lang=en&src=jj_signature&To=%2...
9206+608+3777&Email=bhushan_bhangale(a)kaleconsultants.com> +91 (0)206 608
3777
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http://www.kaleconsultants.com> http://www.kaleconsultants.com
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Edson Tirelli
JBoss Drools Core Development
JBoss, a division of Red Hat @
www.jboss.com
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please delete it immediately and notify the sender. No liability is assumed for
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shall be understood as neither given nor endorsed by it. If verification is
required please request a hard-copy version.
To know more about Kale Consultants, visit
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