Showing posts with label fitnesse. Show all posts
Showing posts with label fitnesse. Show all posts

Monday, December 19, 2011

Productivity by Example: Liferay reverse-engineered

In this experiment, minuteproject demonstrates that it is possible to use Reverse-Engineering as a development methodology for Big Projects AND this from bootstrap time to the entire lifecycle of a Project.

To illustrate this postulat, I take enterprise-size opensource model (Liferay with150+ entities) upon which I apply minuteproject tracks.
It will quickly appear that performing 'bulk reverse-engineering' have strong limitations. Meanwhile by applying conventions deduced from the 'Reverse-Analysis' discipline, it will be possible to overcome them.
The generation will run releasing in couple of seconds (3 to 10) hundreds of artefacts.
Following Minuteproject philosophy, you'll will have to write 0 (Zero) LOC to get a working result and this can be achieved within 5 min-.
Eventually some code will be written on top and the result will be tested.
The technologies discussed will be:
  • JPA2 with Hibernate implementation
  • Querydsl
  • Ehcache 
  • Fitnesse
But other MP tracks can be applied.
The conclusion resumes the productivity benefit at project and enterprise level of embracing MinuteProject productivity philosophy.

Liferay
Liferay is an opensource portal, this article only focus on the database model.
Liferay Model
Setup 
The model is install on mysql database.
Now you can introspect your model.

Reverse-Analysis crash course
At first sight 150+ tables, 0 views.
Some tables start with QUARTZ, those are likely to be shipped with the Quartz scheduling framework, so they should be excluded from the generation.

At second sight (on mysql installation)
Entity with primary key but no foreign keys. => No relationships?
Mysql schema primary key are not autoincrement.

If reverse-engineering is performed as-is, then the bulk resulting artefacts in JPA2 will contain no relationships (no @OneToMany, @ManyToOne and @ManyToMany), so the resulting value will be quite poor (no graph navigation, query link to be done manually, no type safe benefit of Querydsl or Metamodel...)

Relation detection convention
Since the relationships are not formalised in terms of constraint, does it mean that there is none?
In fact, when having a deeper look inside the tables, some fields have name such as USER_ID and there is a strong chance that they are used for a relationship link with the User_ table primary key.
Let's assume it.
Since in minuteproject configuration the user can perform some enrichment and one of this enrichment consists in defining relationship, it is possible to enrich every table containing the field USER_ID by indicating it acts as a foreign key towards USER_ table.
// add snippet
It's fine, but it might be cumbersome since you'll have to do it more than 40 times and only for the 'towards User' relationships. What about the others?
A wiser way is to apply a convention:
What we need is to be able to detect relationships when those match a pattern.The pattern here is that the 'considered' foreign keys are fields ending with 'id' and whose beginning (column name without ending 'id') correspond to an existing table.
But this was not enough since some table ends with '_'.
So the convention has to take care of those exceptions and the match is done against the a map of those entity alias if the match was not successful via direct binding.
The final configuration of the convention is

<foreign-key-convention type="autodetect-foreign-key-based-on-similarity-and-map" 
column-ending="id" column-starting="" column-body="match-entity">
<property tag="map-entity" name="user_" value="user"/> 
<property tag="map-entity" name="group_" value="group"/>
<property tag="map-entity" name="organization_" value="organization"/>
<property tag="map-entity" name="permission_" value="permission"/>
</foreign-key-convention>

With this convention it is now possible to have 'virtual' foreign keys used by the generator to create @OneToMany, @ManyToOne and @ManyToMany relationships for JPA2 track.

Naming convention
The JEE conventions can be different from those retrieved from the Database structure:
Example: Some column ends with 'id' but in java we might not want that.
Here the convention for that
<column-naming-convention type="apply-strip-column-name-suffix" pattern-to-strip="ID" />

Collection naming convention
While reverse-engineering a problem is to give unambiguous names to list elements. Otherwise in java you have a compilation error. The safest way is to compose the name of this collection relationship (@OneToMany) with the name of the field holding the foreign key, and the name of entity having this FK. It get even worse when dealing with a many2many relationship where the intermediary link table as to be associated.
As a result, you can have very long name which is not quite handy.
Fortunately the convention apply-reference-alias-when-no-ambiguity is there for you!
<reference-naming-convention type="apply-referenced-alias-when-no-ambiguity" is-to-plurialize="true" />
It checks if while reducing the 'unambiguous' default name to 'just' the associated table (plurialize as option) there is no colision.
Remark
With conventions bear in mind that they are applied sequentially and so the order is very important!
Aliasing 
Entity name or column name can be aliased.
The alias will be used for the Java name but the ORM mapping will match the alias name to the correct entity name. 
Caching
To enable caching add a property to the target JPA2
               <property name="add-cache-implementation" value="ehcache"></property>
It is possible to associate caching to entities by two means:
By enrichment at entity level: Each entity marked as having their content-type="master-data" or ="reference-data" will have an associate cache entry
<entity name="country" content-type="reference-data"></entity>
By convention: describe a pattern of entity matching the requirement. Example all the entity ending with '_' could be considered as reference data
<entity-content-type-convention type="apply-content-type-to-entity-ending-with" pattern="_" content-type="reference-data"></entity-content-type-convention>
In this case the entity 'user', 'account', 'classname', 'contact', 'group', 'lock', 'organisation', 'permission', 'release', 'resouce' and 'role' will match the convention and thus have their cache entry in ehcache.xml
MinuteProject input
Input configuration
The analysis is resumed in the mp-config_LR.xml serving as input of MinuteProject
<!DOCTYPE root>
<generator-config>
    <configuration>
        <conventions>
            <target-convention type="enable-updatable-code-feature" />
        </conventions>       
        <model name="liferay" version="1.0" package-root="net.sf.mp.demo">
            <data-model>
                <driver name="mysql" version="5.1.16" groupId="mysql" artifactId="mysql-connector-java"></driver>
                <dataSource>
                    <driverClassName>org.gjt.mm.mysql.Driver</driverClassName>
                    <url>jdbc:mysql://127.0.0.1:3306/lportal</url>
                    <username>root</username>
                    <password>mysql</password>
                </dataSource>
                <primaryKeyPolicy oneGlobal="true">
                    <primaryKeyPolicyPattern name="none"></primaryKeyPolicyPattern>
                </primaryKeyPolicy>
            </data-model>
            <business-model>   
                    <generation-condition>
                    <condition type="exclude" startsWith="QUARTZ"></condition>
                    </generation-condition>
                <business-package default="liferay">
                    <condition type="package" startsWith="social" result="social"></condition>
                    <condition type="package" startsWith="user" result="user"></condition>
                    <condition type="package" startsWith="journal" result="journal"></condition>               
                </business-package>
                <enrichment>
                    <conventions>
                        <column-naming-convention type="apply-strip-column-name-suffix" pattern-to-strip="ID" />
                        <foreign-key-convention type="autodetect-foreign-key-based-on-similarity-and-map"
                            column-ending="id" column-starting="" column-body="match-entity">
                            <property tag="map-entity" name="user_" value="user"/>
                            <property tag="map-entity" name="group_" value="group"/>
                            <property tag="map-entity" name="organization_" value="organization"/>
                            <property tag="map-entity" name="permission_" value="permission"/>
                        </foreign-key-convention>
                        <reference-naming-convention type="apply-referenced-alias-when-no-ambiguity" is-to-plurialize="true" />       
                        <entity-content-type-convention type="apply-content-type-to-entity-ending-with" pattern="_" content-type="reference-data"></entity-content-type-convention>
                    </conventions>
                    <entity name="user_" alias="user"></entity>
                    <entity name="role_" alias="role"></entity>
                    <entity name="group_" alias="group"></entity>
                    <entity name="permission_" alias="permission"></entity>
                    <entity name="organization_" alias="organization"></entity>
                    <entity name="classname_" alias="classname"></entity>
                    <entity name="country" content-type="reference-data"></entity>
                </enrichment>
            </business-model>
        </model>
        <targets>
            <target refname="JPA2"
               fileName="mp-template-config-JPA2.xml"
               outputdir-root="../../dev/liferay/output/JPA2"
               templatedir-root="../../template/framework/jpa">
               <property name="add-querydsl" value="2.1.2"></property>
               <property name="add-jpa2-implementation" value="hibernate"></property>
               <property name="add-cache-implementation" value="ehcache"></property>
               
            </target>                        
            <target refname="LIB" fileName="mp-template-config-bsla-LIB-features.xml"
                templatedir-root="../../template/framework/bsla">
            </target>
    <target refname="CACHE-LIB" 
      fileName="mp-template-config-CACHE-LIB.xml" 
      templatedir-root="../../template/framework/cache">
    </target>            
        </targets>
    </configuration>
</generator-config>
Generation
Adapt the above config with the liferay database connection credentials.
You need version 0.7+ of minuteproject (and check that everything is fine by running the demos)
To generate place the following file mp-config_LR.xml into /mywork/config
Execute model-generation.(sh/cmd) mp-config_LR.xml

MinuteProject output
Generated artefacts
Entities
140+ entities have been created
12 Embeddable Id when composite primary have been found
Relationships
+- 300 OneToMany
+- 300 ManyToOne
+- 20 ManyToMany
Configuration
Entity Associate MetaModel for typesafe query
Maven pom.xml with querydsl integration
persistence.xml for test (local connection pool) and for release (jndi connection pool).
ehcache.xml

And All That in 10s less!
(local instance of mysql)


If you want to see what the resulting code looks like you can download on googlecode (version for minuteproject 0.8).
If you want to see what the Liferay datamodel looks like with relationships check here.


Test
But does it really work?
The sources are generated in /dev/liferay/output/JPA2
Writing a simple unit test in src/test/java which illustrates:
  • that you can write business added value
  • that querydsl for typesafe as an alternative to metamodel (MetaModel entities are also generated) is integrated
  • that ORM, ehcache configuration works
package my.liferay.test;

import java.util.List;

import javax.persistence.*;

import com.mysema.query.jpa.impl.JPAQuery;

import junit.framework.TestCase;
import net.sf.mp.demo.liferay.domain.liferay.Country;
import net.sf.mp.demo.liferay.domain.liferay.QCountry;

public class LiferayJPA2Test extends TestCase{
   
    public void testCountry() {
        // Initializes the Entity manager
        EntityManagerFactory emf = Persistence.createEntityManagerFactory("liferay");
        EntityManager em = emf.createEntityManager();
        EntityTransaction tx = em.getTransaction();

        //use Query dsl for type safe query
        JPAQuery query = new JPAQuery(em);
        QCountry qcountry = QCountry.country;
        List l = query.from(qcountry)
           .where(qcountry.countryid.lt(0))
           .list(qcountry);
        //remove the countries
        for (Country country:l) {
         em.remove(country);
        }
        // create a country
        Country c = new Country();
        // no primary policy key given so associate one manually 
        c.setCountryid(new Long(-100));
        c.setName("NEW-country");
        c.setA2("A2");
        c.setA3("A3");
        c.setActive(new Short("1"));
        c.setNumber("5");

        tx.begin();
        em.persist(c);
        tx.commit();

        em.close();
        emf.close();   
    }
}

Running with maven
Execute mvn package
This will compile and test the code.
In the build, querydsl classes will be generated and compiled
In the test, at run time, ORM and ehcache configuration will be loaded.

The sql statement issue by Hibernate at the end of the test is 
Hibernate:
    insert
    into
        country
        (a2, a3, active_, idd_, name, number_, countryId)
    values
        (?, ?, ?, ?, ?, ?, ?)
So yes, it works!
And package liferayBackEnd-1.0-SNAPSHOT.jar is created.

But what happens if there is a compile time or runtime issue with the generated code?
Do not worry the generated code is updatable which means that you can patch the code but your modification will be kept over successive generations. More information at http://minuteproject.wikispaces.com/Updatable_Generated_Code

Extend
Here the reverse-engineering target just one type of target JPA2 track.
Extend with other MinuteProject tracks
Example:
FitNessize you development: Adding the following snippet into the 'targets' node of the main configuration will generate an entire Fitnesse wiki ready to use for your acceptance testing.
   <target refname="FitNesse" 
      name="default" 
      fileName="mp-template-config-fitnesse.xml" 
      outputdir-root="../../dev/liferay/output/FITNESSE"
      templatedir-root="../../template/framework/fitnesse">
   </target>
For more information see this article
Extend you model
Enrich you model with:
  • views
  • store procedure
  • constraints
Minuteproject will generate relevant artefacts for them.
Conclusions
This article shows how to set reverse-engineering approach as a fast development methodology.
It is far less intrusive and restricted than Domain Driven Development and much faster.
This article also insists on how to apply your own conventions via 'declarative conventions'.

Minuteproject unleashes your productivity!
Things and tedious tasks that where bound to stay for the lifetime of your project can be removed.
At this point it takes more time for a DBA to write and execute an alter statement than to have full backend synchronisation!
Now you can move agile on your backend development.

Conclusion for the LifeRay Dev team:
Altering your backend might be quite long if you want to go to JPA2 track described above. Meanwhile you can use MinuteProject without any intrusivity on other tracks.
MinuteProject FitNesse fixture generated for Liferay and this really help increasing QA!
Try other MinuteProject tracks: for example any DB query can be RESTified (fully REST app generated) within seconds...

More information
More information about Minuteproject 4 JPA2 track can be found here.

Monday, October 31, 2011

FitNessize your JEE dev with minuteproject


This article shows you how-to setup FitNesse in your development environment when dealing with Relation Database CRUD operations. MinuteProject 4 FitNesse generates entire set of FitNesse wiki pages and associated java fixtures allowing you to reset the database as well as performing intuitively CRUD operations on top of tables and Select on top of views.
To illustrate this MinuteProject track, the Database used comes from the Lazuly showcase.
The sources can be found under lazuly-fitnesse.
This page will show you:
  • FitNesse + Minuteproject operating mechanism in Agile development
  • How-to Generate CRUD fixture
  • Integrate then in your own scenario to gain QA
Overview




Install FitNesse and Generate A Custom CRUD wiki for you model
Prerequisites
  • Use Java 6
  • Install Lazuly DB (sql script here)
Installation
Download FitNesse
Execute java -jar fitnesse.jar
On a browser go to http://localhost to view the FitNesse wiki
Generate a FitNesse wiki for your model
  • Download MinuteProject
  • Generate using the following minuteproject configuration script: mp-config-LAZULY-FITNESSE.xml
  • Set this script in /mywork/config and run generate-model.(cmd/sh) mp-config-LAZULY-FITNESSE.xml
The mp-config-LAZULY-FITNESSE.xml configuration file
<!DOCTYPE root>
<generator-config>
 <configuration>
  <conventions>
   <target-convention type="enable-updatable-code-feature" />
  </conventions> 
  <model name="conference" version="1.0" package-root="net.sf.mp.demo">
   <data-model>
    <dataSource>
     <driverClassName>org.gjt.mm.mysql.Driver</driverClassName>
     <url>jdbc:mysql://127.0.0.1:3306/conference</url>
     <username>root</username>
     <password>mysql</password>
    </dataSource>
   </data-model>
   <business-model>
         <business-package default="conference">
             <condition type="package" startsWith="STAT" result="statistics"></condition>
             <condition type="package" startsWith="COUNTRY" result="admin"></condition>
             <condition type="package" startsWith="ROLE" result="admin"></condition>        
         </business-package>   
    <enrichment>
     <conventions>
         <view-primary-key-convention 
            type="apply-default-primary-key-otherwise-first-one" 
            default-primary-key-names="ID" >
         </view-primary-key-convention>
     </conventions>
    </enrichment>
   </business-model>
  </model>
  <targets> 
   <target refname="FitNesse" 
      name="default" 
      fileName="mp-template-config-fitnesse.xml" 
      outputdir-root="D:/DEV/LAZULY/lazuly-fitnesse"
      templatedir-root="../../template/framework/fitnesse">
   </target> 
   <target refname="LIB" 
      fileName="mp-template-config-bsla-LIB-features.xml" 
      templatedir-root="../../template/framework/bsla">
   </target>
  </targets>  

 </configuration>
</generator-config>
What is generated
Wiki Fixtures for CRUD operations


Wiki source to be copied in your FitNesse Root Directory
















FitNesse CRUD Wiki generated for you model.
Pick-up the snippet you need to:
  • SetUp you DB model
  • Perform sanity check 
    • after X UCs in a scenario, are my data correctly stored?
Lazuly FitNesse subwiki for select operations













Details of Select wiki fixtures for view 'stat_mb_by_role'
 
















Lazuly FitNesse subwiki for insert update delete operations











Details of Insert, Update, Delete wiki fixtures for table 'address'















Associated Java Fixture 























Assemble for your need
Build Java Fixture Project
Compile the code in an IDE
  • add src-generated to your source directories
  • add MP 4 FitNesse depencies libraries
    • For the moment they are provided in MP package under /target/fitnesse/ and /target/fitnesse/dep
  • Lazuly-fitnesse is shipped with an eclipse project that compiles the code to /bin
  • The compilation directory is to be reference by the FitNesse wiki path directives.
SetUp FitNesse Lazuly Wiki
Althought MinuteProject provides CRUD wiki ready to use, the purpose of this section is to setup a custom wiki that will be used for your UC.
  • Create your FitNesse Application Wiki HomePage
    • Edit main page add a section called 'FitNesseLazulyScenario'
      • Add snippet [[Lazuly][FitNesse.LazulyScenario]]
  • Click on Lazuly ? or go to http://localhost/FitNesse.LazulyScenario
  • Compose a simple structure
    • Simple structure proposal
      • HomePage section (define the path to use)
      • Setup section (Used to reset DB)
      • Data Definition section (Used to define common variables referenced in scenario)
      • Populate section (Used to initialize DB with data)
      • Couple of UC section
Write a sample scenario
This scenario will populate couple of tables of the Lazuly DB and check if the result expected in the views is correct.
HomePage section
Defines 
  • different pages (SetUp, VariableDefinition, UC sections) 
  • classpath

 
Setup section 
  • Reset Database
    • Reference Reset script executed by Scriptella (etl.xml)
      • Adapt the variable resetfilepathvar to point to your file path.
    • etl.xml references 3 sql script
      • reset_db.sql that proposed a Delete statement per table
        • It can be altered since the delete order might not be correct
        • In this case please add -- MP-MANAGED-STOP-GENERATING to prevent your modification to be lost for consecutive generation
      • insert_reference_data.sql
        • Add the data you wish
      • commit.sql that just perform a commit
  • Connection parameter to point to the database that include
    • DB URL
    • JDBC driver
    • Username
    • Password
  • All this code is generate in /ConferenceFitnesseWikiSetup/content.txt. It can also be copied from http://localhost/ConferenceFitnesseWikiSetup
 
Variable Definition section
Use Fitnesse directive !define to add relevant variable name for your scenario
Those variables will be later refered in your UCs

Populate section 
The SetUp page is automatically included at the beginning of your scenario.
But you have to reference the Variable Definition section. For that use the FitNesse directive !include (!include VariableDefinition)

Pick-up CRUD snippet from MP generated FitNesse Wiki to create you own customed DB initialization.
Insert reference data Country, Role
Insert business data: Address, Conference, ConferenceMember






 

















UC Check section
Pick-up CRUD snippet from MP generated FitNesse Wiki to create you own customed DB initialization.
In this case, I simply check that the data are stored correctly.
There is a view that gather BI information and I use it to validate the correctness of the information.


















Conclusion
This example shows that you can have use very easily CRUD fitnesse fixture (Zero LOC of development are required) customized for your data model.
To sum-up, here are the main points:
  • Reset DB
  • Initialize DB
  • Perform sanity check
  • Set-up FitNesse for your hadoc UCs for JEE data centric application


MinuteProject Spin-offs
At this point on you can guarante that the data retrieved from the view are correct.
That means that you have QA on your model.
If the views have a field containing unique values then you can benefit of MinuteProject spin-off i.e. use other track to generate out-of-the-box:
  • Web2.0 application in Openxava on top of views. See on this blog the following article 
  • REST application.
  • Web service application.
For Real UCs
Here the UCs demonstrated concern only CRUD operations on top of DB entities.
2 next articles in prepartion will show how to integrate with:
  • JPA2 ORM backend
  • Spring/JPA/Hibernate backend
Additional information
MinuteProject 4 FitNesse