Drools is split into two main parts: Authoring and Runtime.
The authoring process involves the creation of DRL or XML files for rules which are fed into a parser - defined by an Antlr 3 grammar. The parser checks for correctly formed grammar and produces an intermediate structure for the "descr"; where the "descr" indicates the AST that "describes" the rules. The AST is then passed to the Package Builder which produces Packages. Package Builder also undertakes any code generation and compilation that is necessary for the creation of the Package. A Package object is self contained and deployable, in that it's a serialized object consisting of one or more rules.
A RuleBase is a runtime component which consists of one or more Packages. Packages can be added and removed from the RuleBase at any time. A RuleBase can instantiate one or more WorkingMemories at any time; a weak reference is maintained, unless configured otherwise. The Working Memory consists of a number of sub components, including Working Memory Event Support, Truth Maintenance System, Agenda and Agenda Event Support. Object insertion may result in the creation of one or more Activations. The Agenda is responsible for scheduling the execution of these Activations.
Four classes are used for authoring: DrlParser, XmlParser, ProcessBuilder and PackageBuilder. The two parser classes produce "descr" (description) AST models from a provided Reader instance. ProcessBuilder reads in an xstream serialisation representation of the Rule Flow. PackageBuilder provides convienience APIs so that you can mostly forget about those classes. The three convenience methods are "addPackageFromDrl", "addPackageFromXml" and addRuleFlow - all take an instance of Reader as an argument. The example below shows how to build a package that includes both XML, DRL and rule files and a ruleflow file, which are in the classpath. Note that all added package sources must be of the same package namespace for the current PackageBuilder instance!
Example 2.1. Building a Package from Multiple Sources
PackageBuilder builder = new PackageBuilder(); builder.addPackageFromDrl( new InputStreamReader( getClass().getResourceAsStream( "package1.drl" ) ) ); builder.addPackageFromXml( new InputStreamReader( getClass().getResourceAsStream( "package2.xml" ) ) ); builder.addRuleFlow( new InputStreamReader( getClass().getResourceAsStream( "ruleflow.rfm" ) ) ); Package pkg = builder.getPackage();
It is essential that you always check your PackageBuilder for errors before attempting to use it. While the ruleBase does throw an InvalidRulePackage when a broken Package is added, the detailed error information is stripped and only a toString() equivalent is available. If you interrogate the PackageBuilder itself much more information is available.
Example 2.2. Checking the PackageBuilder for errors
PackageBuilder builder = new PackageBuilder(); builder.addPackageFromDrl( new InputStreamReader( getClass().getResourceAsStream( "package1.drl" ) ) ); PackageBuilderErrors errors = builder.getErrors();
PackageBuilder is configurable using PackageBuilderConfiguration class.
It has default values that can be overridden programmatically via setters or on first use via property settings. At the heart of the settings is the ChainedProperties class which searches a number of locations looking for drools.packagebuilder.conf files; as it finds them it adds the properties to the master propperties list; this provides a level precedence. In order of precedence those locations are: System Properties, user defined file in System Properties, user home directory, working directory, various META-INF locations. Further to this the droosl-compiler jar has the default settings in its META-INF directory.
Currently the PackageBulderConfiguration handles the registry of Accumulate functions, registry of Dialects and the main ClassLoader.
Drools has a pluggeable Dialect system, which allows other languages to compile and execution expressions and blocks, the two currently supported dialects are Java and MVEL. Each has its own DialectConfiguration Implementation; the javadocs provide details for each setter/getter and the property names used to configure them.
The JavaDialectConfiguration allows the compiler and language levels to be supported. You can override by setting the "drools.dialect.java.compiler" property in a packagebuilder.conf file that the ChainedProperties instance will find, or you can do it at runtime as shown below.
Example 2.3. Configuring the JavaDialectConfiguration to use JANINO via a setter
PackageBuilderConfiguration cfg = new PackageBuilderConfiguration( ); JavaDialectConfiguration javaConf = (JavaDialectConfiguration) cfg.getDialectConfiguration( "java" ); javaConf.setCompiler( JavaDialectConfiguration.JANINO );
if you do not have Eclipse JDT Core in your classpath you must override the compiler setting before you instantiate this PackageBuilder, you can either do that with a packagebuilder properties file the ChainedProperties class will find, or you can do it programmatically as shown below; note this time I use properties to inject the value for startup.
Example 2.4. Configuring the JavaDialectConfiguration to use JANINO
Properties properties = new Properties(); properties.setProperty( "drools.dialect.java.compiler", "JANINO" ); PackageBuilderConfiguration cfg = new PackageBuilderConfiguration( properties ); JavaDialectConfiguration javaConf = (JavaDialectConfiguration) cfg.getDialectConfiguration( "java" ); assertEquals( JavaDialectConfiguration.JANINO, javaConf.getCompiler() ); // demonstrate that the compiler is correctly configured
Currently it allows alternative compilers (Janino, Eclipse JDT) to be specified, different JDK source levels ("1.4" and "1.5") and a parent class loader. The default compiler is Eclipse JDT Core at source level "1.4" with the parent class loader set to "Thread.currentThread().getContextClassLoader()".
The following show how to specify the JANINO compiler programmatically:
Example 2.5. Configuring the PackageBuilder to use JANINO via a property
PackageBuilderConfiguration conf = new PackageBuilderConfiguration(); conf.setCompiler( PackageBuilderConfiguration.JANINO ); PackageBuilder builder = new PackageBuilder( conf );
The MVELDialectConfiguration is much simpler and only allows strict mode to be turned on and off, by default strict is true; this means all method calls must be type safe either by inference or by explicit typing.
A RuleBase is instantiated using the RuleBaseFactory, by default this returns a ReteOO RuleBase. Packages are added, in turn, using the addPackage method. You may specify packages of any namespace and multiple packages of the same namespace may be added.
Example 2.6. Adding a Package to a new RuleBase
RuleBase ruleBase = RuleBaseFactory.newRuleBase(); ruleBase.addPackage( pkg );
A RuleBase contains one or more more packages of rules, ready to be used, i.e., they have been validated/compiled etc. A Rule Base is serializable so it can be deployed to JNDI or other such services. Typically, a rulebase would be generated and cached on first use; to save on the continually re-generation of the Rule Base; which is expensive.
A Rule Base instance is thread safe, in the sense that you can have the one instance shared across threads in your application, which may be a web application, for instance. The most common operation on a rulebase is to create a new rule session; either stateful or stateless.
The Rule Base also holds references to any stateful session that it has spawned, so that if rules are changing (or being added/removed etc. for long running sessions), they can be updated with the latest rules (without necessarily having to restart the session). You can specify not to maintain a reference, but only do so if you know the Rule Base will not be updated. References are not stored for stateless sessions.
ruleBase.newStatefulSession(); // maintains a reference. ruleBase.newStatefulSession( false ); // do not maintain a reference
Packages can be added and removed at any time - all changes will be propagated to the existing stateful sessions; don't forget to call fireAllRules() for resulting Activations to fire.
ruleBase.addPackage( pkg ); // Add a package instance ruleBase.removePackage( "org.com.sample" ); // remove a package, and all its parts, by it's namespace ruleBase.removeRule( "org.com.sample", "my rule" ); // remove a specific rule from a namespace
While there is a method to remove an indivual rule, there is no method to add an individual rule - to achieve this just add a new package with a single rule in it.
RuleBaseConfigurator can be used to specify additional behavior of the RuleBase. RuleBaseConfiguration is set to immutable after it has been added to a Rule Base. Nearly all the engine optimizations can be turned on and off from here, and also the execution behavior can be set. Users will generally be concerned with insertion behavior (identity or equality) and cross product behavior(remove or keep identity equals cross products).
RuleBaseConfiguration conf = new RuleBaseConfiguration(); conf.setAssertBehaviour( AssertBehaviour.IDENTITY ); conf.setRemoveIdentities( true ); RuleBase ruleBase = RuleBaseFactory.newRuleBase( conf );
It holds references to all data that has been "inserted" into it (until retracted) and it is the place where the interaction with your application occurs. Working memories are stateful objects. They may be shortlived or longlived.
Facts are objects (beans) from your application that you insert into the working memory. Facts are any Java objects which the rules can access. The rule engine does not "clone" facts at all, it is all references/pointers at the end of the day. Facts are your applications data. Strings and other classes without getters and setters are not valid Facts and can't be used with Field Constraints which rely on the JavaBean standard of getters and setters to interact with the object.
"Insert" is the act of telling the WorkingMemory about the facts. WorkingMemory.insert(yourObject) for example. When you insert a fact, it is examined for matches against the rules etc. This means ALL of the work is done during insertion; however, no rules are executed until you call "fireAllRules()". You don't call "fireAllRules()" until after you have finished inserting your facts. This is a common misunderstanding by people who think the work happens when you call "fireAllRules()". Expert systems typically use the term "assert" or "assertion" to refer to facts made available to the system, however due to the assert become a keyword in most languages we have moved to use the "Insert" keyword; so expect to hear the two used interchangeably.
When an Object is insert it returns a FactHandle. This FactHandle is the token used to represent your insert Object inside the WorkingMemory, it is also how you will interact with the Working Memory when you wish to retract or modify an object.
Cheese stilton = new Cheese("stilton"); FactHandle stiltonHandle = session.insert( stilton );
As mentioned in the Rule Base section a Working Memory may operate in two assertions modes equality and identity - identity is default.
Identity means the Working Memory uses an IdentityHashMap to store all asserted Objects. New instance assertions always result in the return of a new FactHandle, if an instance is asserted twice then it returns the previous fact handle – i.e. it ignores the second insertion for the same fact.
Equality means the Working Memory uses a HashMap to store all asserted Objects. New instance assertions will only return a new FactHandle if a no equal classes have been asserted.
"Retraction" is when you retract a fact from the Working Memory, which means it will no longer track and match that fact, and any rules that are activated and dependent on that fact will be cancelled. Note that it is possible to have rules that depend on the "non existence" of a fact, in which case retracting a fact may cause a rule to activate (see the 'not' and 'exist' keywords). Retraction is done using the FactHandle that was returned during the assert.
Cheese stilton = new Cheese("stilton"); FactHandle stiltonHandle = session.insert( stilton ); .... session.retract( stiltonHandle );
The Rule Engine must be notified of modified Facts, so that it can be re-process. Modification internally is actually a retract and then an insert; so it clears the WorkingMemory and then starts again. Use the modifyObject method to notify the Working Memory of changed objects, for objects that are not able to notify the Working Memory themselves. Notice modifyObject always takes the modified object as a second parameter - this allows you to specify new instances for immutable objects. The update() method can only be used with objects that have shadow proxies turned on. If you do not use shadow proxies then you must call session.modifyRestract() before making your changes and session.modifyInsert() after the changes.
Cheese stilton = new Cheese("stilton"); FactHandle stiltonHandle = workingMemory.insert( stilton ); .... stilton.setPrice( 100 ); workingMemory.update( stiltonHandle, stilton );
Globals are named objects that can be passed in to the rule engine; without needing to insert them. Most often these are used for static information, or services that are used in the RHS of a rule, or perhaps a means to return objects from the rule engine. If you use a global on the LHS of a rule, make sure it is immutable. A global must first be declared in the drl before it can be set on the session.
global java.util.List list
With the Rule Base now aware of the global identifier and its type any sessions are now able to call session.setGlobal; failure to declare the global type and identifier first will result in an exception being thrown. to set the global on the session use session.setGlobal(identifier, value);
List list = new ArrayList(); session.setGlobal("list", list);
If a rule evaluates on a global before you set it you will get a NullPointerException.
A shadow fact is a shallow copy of an asserted object. Shadow facts are cached copies of object asserted to the working memory. The term shadow facts is commonly known as a feature of JESS (Java Expert System Shell).
The origins of shadow facts traces back to the concept of truth maintenance. The basic idea is that an expert system should guarantee the derived conclusions are accurate. A running system may alter a fact during evaluation. When this occurs, the rule engine must know a modification occurred and handle the change appropriately. There's generally two ways to guarantee truthfulness. The first is to lock all the facts during the inference process. The second is to make a cache copy of an object and force all modifications to go through the rule engine. This way, the changes are processed in an orderly fashion. Shadow facts are particularly important in multi-threaded environments, where an engine is shared by multiple sessions. Without truth maintenance, a system has a difficult time proving the results are accurate. The primary benefit of shadow facts is it makes development easier. When developers are forced to keep track of fact modifications, it can lead to errors, which are difficult to debug. Building a moderately complex system using a rule engine is hard enough without adding the burden of tracking changes to facts and when they should notify the rule engine.
Drools 4.0 has full support for Shadow Facts implemented as transparent lazy proxies. Shadow facts are enable by default and are not visible from external code, not even inside code blocks on rules.
IMPORTANT: since Drools implements Shadow Facts as Proxies, the fact classes must either be immutable or should not be final, nor have final methods. If a fact class is final or have final methods and is still a mutable class, the engine is not able to create a proper shadow fact for it and results in unpredictable behavior.
Although shadow facts are a great way of ensuring the engine integrity, they add some overhead to the the reasoning process. As so, Drools 4.0 supports fine grained control over them with the ability to enable/disable them for each individual class.
It is possible to disable shadow facts for your classes if you meet the following requirements:
1. Immutable classes are safe: if a class is immutable it does not require shadow facts. Just to clarify, a class is immutable from the engine perspective if once an instance is asserted into the working memory, no attribute will change until it is retracted.
2. Inside your rules, attributes are only changed using modify() blocks: both Drools dialects (MVEL and Java) have the modify block construct. If all attribute value changes for a given class happen inside modify() blocks, you can disable shadow facts for that class.
Example 2.7. Example: modify() block using Java dialect
rule "Eat Cheese" when $p: Person( status == "hungry" ) $c: Cheese( ) then retract( $c ); modify( $p ) { setStatus( "full" ), setAge( $p.getAge() + 1 ) } end
Example 2.8. Example: modify() block using MVEL dialect
rule "Eat Cheese" dialect "mvel" when $p: Person( status == "hungry" ) $c: Cheese( ) then retract( $c ); modify( $p ) { status = "full", age = $p.age + 1 } end
3. In your application, attributes are only changed between calls to modifyRetract() and modifyInsert(): this way, the engine becomes aware that attributes will be changed and can prepare itself for them.
Example 2.9. Example: safely modifying attributes in the application code
// create session StatefulSession session = ruleBase.newStatefulSession(); // get facts Person person = new Person( "Bob", 30 ); person.setLikes( "cheese" ); // insert facts FactHandle handle = session.insert( person ); // do application stuff and/or fire rules session.fireAllRules(); // wants to change attributes? session.modifyRetract( handle ); // call modifyRetract() before doing changes person.setAge( 31 ); person.setLikes( "chocolate" ); session.modifyInsert( handle, person ); // call modifyInsert() after the changes
To disable shadow fact for all classes set the following property in a configuration file of system property:
drools.shadowProxy = false
Alternatively, it is possible to disable through an API call:
RuleBaseConfiguration conf = new RuleBaseConfiguration(); conf.setShadowProxy( false ); ... RuleBase ruleBase = RuleBaseFactory.newRuleBase( conf );
To disable the shadow proxy for a list of classes only, use the following property instead, or the equivalent API:
drools.shadowproxy.exclude = org.domainy.* org.domainx.ClassZ
As shown above, a space separated list is used to specify more than one class, and '*' is used as a wild card.
If your fact objects are Java Beans, you can implement a property change listener for them, and then tell the rule engine about it. This means that the engine will automatically know when a fact has changed, and behave accordingly (you don't need to tell it that it is modified). There are proxy libraries that can help automate this (a future version of drools will bundle some to make it easier). To use the Object in dynamic mode specify true for the second assertObject parameter.
Cheese stilton = new Cheese("stilton"); FactHandle stiltonHandle = workingMemory.insert( stilton, true ); //specifies that this is a dynamic fact
To make a JavaBean dynamic add a PropertyChangeSupport field memory along with two add/remove mothods and make sure that each setter notifies the PropertyChangeSupport instance of the change.
private final PropertyChangeSupport changes = new PropertyChangeSupport( this ); ... public void addPropertyChangeListener(final PropertyChangeListener l) { this.changes.addPropertyChangeListener( l ); } public void removePropertyChangeListener(final PropertyChangeListener l) { this.changes.removePropertyChangeListener( l ); } ... public void setState(final String newState) { String oldState = this.state; this.state = newState; this.changes.firePropertyChange( "state", oldState, newState ); }
To support conditional elements like "not" (which will be covered later on), there is a need to "seed" the engine with something known as the "Initial Fact". This fact is a special fact that is not intended to be seen by the user.
On the first working memory action (assert, fireAllRules) on a fresh working memory, the Initial Fact will be propagated through the RETE network. This allows rules that have no LHS, or perhaps do not use normal facts (such as rules that use "from" to pull data from an external source). For instance, if a new working memory is created, and no facts are asserted, calling the fireAllRules will cause the Initial Fact to propagate, possibly activating rules (otherwise, nothing would happen as there area no other facts to start with).
The StatefulSession extends the WorkingMemory class. It simply adds async methods and a dispose() method. The ruleBase retains a reference to each StatefulSession is creates, so that it can update them when new rules are added, dispose() is needed to release the StatefulSession reference from the RuleBase, without it you can get memory leaks.
The StatelessSession wraps the WorkingMemory, instead of extending it, its main focus is on decision service type scenarios.
Example 2.11. Createing a StatelessSession
StatelessSession session = ruleBase.newStatelessSession(); session.execute( new Cheese( "cheddar" ) );
The api is reduced for the problem domain and is thus much simpler; which in turn can make maintenance of those services easier. The RuleBase never retains a reference to the StatelessSession, thus dispose() is not needed, and they only have an execute() method that takes an object, an array of objects or a collection of objects - there is no insert or fireAllRules. The execute method iterates the objects inserting each and calling fireAllRules() at the end; session finished. Should the session need access to any results information they can use the executeWithResults method, which returns a StatelessSessionResult. The reason for this is in remoting situations you do not always want the return payload, so this way its optional.
setAgendaFilter, setGlobal and setGlobalResolver share their state across sessions; so each call to execute() will use the set AgendaFilter, or see any previous set globals etc.
StatelessSessions do not currently support propertyChangeLissteners.
Async versions of the Execute method are supported, remember to override the ExecutorService implementation when in special managed thread environments such as JEE.
StatelessSessions also support sequential mode, which is a special optimised mode that uses less memory and executes faster; please see the Sequential section for more details.
StatelessSession.executeWithResults(....) returns a minimal api to examine the sessions data. The inserted Objects can be iterated over, querries can be executed and globals retrieved. Once the StatelessSessionResult is serialised it loses the reference to the underlying WorkingMemory and RuleBase, so querries can no longer be executed, however globals can still be retrieved and objects iterated. To retrieve globals they must be exported from the StatelessSession; the GlobalExporter strategy is set with StatelessSession.setGlobalExporter( GlobalExporter globalExporter ). Two implementations of GlobalExporter are available and users may implement their own strategies. CopyIdentifiersGlobalExporter copies named identifiers into a new GlobalResovler that is passed to the StatelessSessionResult; the constructor takes a String[] array of identifiers, if no identifiers are specified it copies all identifiers declaredin the RuleBase. ReferenceOriginalGlobalExporter just passes a reference to the original Global Resolver; the later should be used with care as identifier instances can be changed at any time by the StatelessSession and the GlobalResolver may not be serialisable freindly.
Example 2.12. GlobalExporter with StatelessSessions
StatelessSession session = ruleBase.newStatelessSession(); session.setGlobalExporter( new CopyIdentifiersGlobalExporter( new String[]{"list"} ) ); StatelessSessionResult result = session.executeWithResults( new Cheese( "stilton" ) ); List list = ( List ) result.getGlobal( "list" );
The Agenda is a RETE feature. During a Working Memory Action rules may become fully matched and eligible for execution; a single Working Memory Action can result in multiple eligible rules. When a rule is fully matched an Activation is created, referencing the Rule and the matched facts, and placed onto the Agenda. The Agenda controls the execution order of these Activations using a Conflict Resolution strategy.
The engine operates in a "2 phase" mode which is recursive:
Working Memory Actions - this is where most of the work takes place - in either the Consequence or the main java application process. Once the Consequence has finished or the main Java application process calls fireAllRules() the engine switches to the Agenda Evaluation phase.
Agenda Evaluation - attempts to select a rule to fire, if a rule is not found it exits, otherwise it attempts to fire the found rule, switching the phase back to Working Memory Actions and the process repeats again until the Agenda is empty.
The process recurses until the agenda is clear, in which case control returns to the calling application. When Working Memory Actions are taking place, no rules are being fired.
Conflict resolution is required when there are multiple rules on the agenda. As firing a rule may have side effects on working memory, the rule engine needs to know in what order the rules should fire (for instance, firing ruleA may cause ruleB to be removed from the agenda).
The default conflict resolution strategies emplyed by Drools are: Salience and LIFO (last in, first out).
The most visible one is "salience" or priority, in which case a user can specify that a certain rule has a higher priority (by giving it a higher number) then other rules. In that case, the higher salience rule will always be preferred. LIFO priorities based on the assigned Working Memory Action counter value, multiple rules created from the same action have the same value - execution of these are considered arbitrary.
As a general rule, it is a good idea not to count on the rules firing in any particular order, and try and author the rules without worrying about a "flow".
Custom conflict resolution strategies can be specified by setting the Class in the RuleBaseConfiguration method setConflictResolver, or using the property "drools.conflictResolver".
Agenda groups are a way to partition rules (activations, actually) on the agenda. At any one time, only one group has "focus" which means that the activations for rules in that group will only take effect - you can also have rules "auto focus" which means the focus for its agenda group is taken when that rules conditions are true.
They are sometimes known as "modules" in CLIPS terminology. Agenda groups are a handy way to create a "flow" between grouped rules. You can switch the group which has focus either from within the rule engine, or from the API. If you rules have a clear need for multiple "phases" or "sequences" of processing, consider using agenda-groups for this purpose.
Each time setFocus(...) is called it pushes that Agenda Group onto a stack, when the focus group is empty it is popped off and the next one of the stack evaluates. An Agenda Group can appear in multiple locations on the stack. The default Agenda Group is "MAIN", all rules which do not specify an Agenda Group are placed there, it is also always the first group on the Stack and given focus as default.
Filters are optional implementations of a the filter interface which are used to allow/or deny an activation from firing (what you filter on, is entirely up to the implementation). Drools provides the following convenience default implementations
RuleNameEndWithAgendaFilter
RuleNameEqualsAgendaFilter
RuleNameStartsWithAgendaFilter
RuleNameMatchesAgendaFilter
To use a filter specify it while calling FireAllRules. The following example will filter out all rules ending with the text "Test":
workingMemory.fireAllRules( new RuleNameEndsWithAgendaFilter( "Test" ) );
In a regular insert, you need to explicitly retract a fact. With logical assertions, the fact that was asserted will be automatically retracted when the conditions that asserted it in the first place are no longer true (it's actually more clever then that! If there are no possible conditions that could support the logical assertion, only then will it be retracted).
Normal insertions are said to be “STATED” (ie The Fact has been stated - just like the intuitive concept). Using a HashMap and a counter we track how many times a particular equality is STATED; this means we count how many different instances are equal. When we logically insert an object we are said to justify it and it is justified by the firing rule. For each logical insertion there can only be one equal object, each subsequent equal logical insertion increases the justification counter for this logical assertion. As each justification is removed when we have no more justifications the logical object is automatically retracted.
If we logically insert an object when there is an equal STATED object it will fail and return null. If we STATE an object that has an exist equal object that is JUSTIFIED we override the Fact - how this override works depends on the configuration setting "WM_BEHAVIOR_PRESERVE". When the property is set to discard we use the existing handle and replace the existing instance with the new Object - this is the default behavior - otherwise we override it to STATED but we create an new FactHandle.
This can be confusing on a first read, so hopefully the flow charts below help. When it says that it returns a new FactHandle, this also indicates the Object was propagated through the network.
An example may make things clearer. Imagine a credit card processing application, processing transactions for a given account (and we have a working memory accumulating knowledge about a single accounts transaction). The rule engine is doing its best to decide if transactions are possibly fraudulent or not. Imagine this rule base basically has rules that kick in when there is "reason to be suspicious" and when "everything is normal".
Of course there are many rules that operate no matter what (performing standard calculations, etc.). Now there are possibly many reasons as to what could trigger a "reason to be suspicious": someone notifying the bank, a sequence of large transactions, transactions for geographically disparate locations or even reports of credit card theft. Rather then smattering all the little conditions in lots of rules, imagine there is a fact class called "SuspiciousAccount".
Then there can be a series of rules whose job is to look for things that may raise suspicion, and if they fire, they simply insert a new SuspiciousAccount() instance. All the other rules just have conditions like "not SuspiciousAccount()" or "SuspiciousAccount()" depending on their needs. Note that this has the advantage of allowing there to be many rules around raising suspicion, without touching the other rules. When the facts causing the SuspiciousAccount() insertion are removed, the rule engine reverts back to the normal "mode" of operation (and for instance, a rule with "not SuspiciousAccount()" may kick in which flushes through any interrupted transactions).
If you have followed this far, you will note that truth maintenance, like logical assertions, allows rules to behave a little like a human would, and can certainly make the rules more manageable.
It is important to note that for Truth Maintenance (and logical assertions) to work at all, your Fact objects (which may be Javabeans) override equals and hashCode methods (from java.lang.Object) correctly. As the truth maintenance system needs to know when 2 different physical objects are equal in value, BOTH equals and hashCode must be overridden correctly, as per the Java standard.
Two objects are equal if and only if their equals methods return true for each other and if their hashCode methods return the same values. See the Java API for more details (but do keep in mind you MUST override both equals and hashCode).
The event package provides means to be notified of rule engine events, including rules firing, objects being asserted, etc. This allows you to separate out logging/auditing activities from the main part of your application (and the rules) - as events are a cross cutting concern.
There are three types of event listeners - WorkingMemoryEventListener, AgendaEventListener RuleFlowEventListener.
Both stateful and statless sessions implement the EventManager interface, which allows event listeners to be added to the session.
All EventListeners have default implementations that implement each method, but do nothing, these are convienience classes that you can inherit from to save having to implement each method - DefaultAgendaEventListener, DefaultWorkingMemoryEventListener, DefaultRuleFlowEventListener. The following shows how to extend DefaultAgendaEventListener and add it to the session - the example prints statements for only when rules are fired:
session.addEventListener( new DefaultAgendaEventListener() { public void afterActivationFired(AfterActivationFiredEvent event) { super.afterActivationFired( event ); System.out.println( event ); } });
Drools also provides DebugWorkingMemoryEventListener, DebugAgendaEventListener and DebugRuleFlowEventListener that implements each method with a debug print statement:
session.addEventListener( new DebugWorkingMemoryEventListener() );
The Eclipse based Rule IDE also provides an audit logger and graphical viewer, so that the rule engine can log events for later viewing, and auditing.
With Rete you have a stateful session where objects can be asserted and modified over time, rules can also be added and removed. Now what happens if we assume a stateless session, where after the initial data set no more data can be asserted or modified (no rule re-evaluations) and rules cannot be added or removed? This means we can start to make assumptions to minimize what work the engine has to do.
Order the Rules by salience and position in the ruleset (just sets a sequence attribute on the rule terminal node). 4
Create an array, one element for each possible rule activation; element position indicates firing order.
Turn off all node memories, except the right-input Object memory.
Disconnect the LeftInputAdapterNode propagation, and have the Object plus the Node referenced in a Command object, which is added to a list on the WorkingMemory for later execution.
Assert all objects, when all assertions are finished and thus right-input node memories are populated check the Command list and execute each in turn.
All resulting Activations should be placed in the array, based upon the determined sequence number of the Rule. Record the first and last populated elements, to reduce the iteration range.
Iterate the array of Activations, executing populated element in turn.
If we have a maximum number of allowed rule executions, we can exit our network evaluations early to fire all the rules in the array.
The LeftInputAdapterNode no longer creates a Tuple, adding the Object, and then propagate the Tuple – instead a Command Object is created and added to a list in the Working Memory. This Command Object holds a reference to the LeftInputAdapterNode and the propagated Object. This stops any left-input propagations at insertion time, so that we know that a right-input propagation will never need to attempt a join with the left-inputs (removing the need for left-input memory). All nodes have their memory turned off, including the left-input Tuple memory but excluding the right-input Object memory – i.e. The only node that remembers an insertion propagation is the right-input Object memory. Once all the assertions are finished, and all right-input memories populated, we can then iterate the list of LeftInputAdatperNode Command objects calling each in turn; they will propagate down the network attempting to join with the right-input objects; not being remembered in the left input, as we know there will be no further object assertions and thus propagations into the right-input memory.
There is no longer an Agenda, with a priority queue to schedule the Tuples, instead there is simply an array for the number of rules. The sequence number of the RuleTerminalNode indicates the element with the array to place the Activation. Once all Command Objects have finished we can iterate our array checking each element in turn and firing the Activations if they exist. To improve performance in the array we remember record the first and last populated cells. The network is constructed where each RuleTerminalNode is given a sequence number, based on a salience number and its order of being added to the network.
Typically the right-input node memories are HashMaps, for fast Object retraction, as we know there will be no Object retractions, we can use a list when the values of the Object are not indexed. For larger numbers of Objects indexed HashMaps provide a performance increase; if we know an Object type has a low number of instances then indexing is probably not of an advantage and an Object list can be used.
Sequential mode can only be used with a StatelessSession and is off by default. To turn on either set the RuleBaseConfiguration.setSequentail to true or set the rulebase.conf property drools.sequential to true. Sequential mode can fallback to a dynamic agenda with setSequentialAgenda to either SequentialAgenda.SEQUENTIAL or SequentialAgenda.DYNAMIC setter or the "drools.sequential.agenda" property