Tag Archives: Java CAPS

Migrating Java CAPS 5/6 Assets to Oracle SOA Suite – HL7 JCD to Document Callout Migration

This article leverages discoveries from the 2+ year old article “Migrating Java CAPS 5/6 Assets to Oracle SOA Suite 11g – HL7 JCD to Spring Component Migration”, at http://blogs.czapski.id.au/2010/10/migrating-java-caps-56-assets-to-oracle-soa-suite-11g-hl7-jcd-to-spring-component-migration,  and presents a different method of reusing “HL7 Transformer JCD” code in a SOA or OSB solution. This method uses SOA Suite for healthcare integration, slightly modified Java code for a “HL7 Transformer JCD” and WebLogic JMS. The Java CAPS part of the discussion is substantially the same, except the JCD code is wrapped in a SOA Suite for healthcare integration Callout, rather than being converted to a Spring Component embedded in a SOA Campsite. The “HL7 Adapter” part of the article is different in that SOA Suite for healthcare integration is used instead of the SOA Suite B2B HL7 functionality.
This article is of potential interest to these Sun/SeeBeyond customers who have an investment in moderate and large Java Collaboration Definition-based transformation and mapping rules, and who are looking for ways to reuse as much as possible of the Java code involved, when migrating to the Oracle SOA Suite or the Oracle Service Bus. The example developed in this article comes from the healthcare domain and uses the HL7 OTDs (Object Type Definitions). This is a deliberate choice because all but the most trivial HL7 transformations will involve hundreds of lines of Java code, therefore are a good candidates for migration. The adapter part of the HL7 solution is provided by the SOA Suite for healthcare integration. This makes the method domain-specific.
Discussion in this article addresses a subset of technologies available in the Java CAPS and in the SOA Suite for healthcare integration. Specifically, the Java Collaboration Definitions supported in Java CAPS 5.x and in Java CAPS 6/Repository, and the SOA Suite for healthcare integration (part of the SOA Suite 11g R1 PS5).
There is no discussion pertaining to JBI-based technologies or Java CAPS BPEL-based technologies. There is no discussion about other ways in which Java logic can be deployed as part of an Oracle SOA Suite solution.
The HL7 eWay and JCD based Java CAPS solution will be ported to the Oracle SOA Suite for healthcare integration and Java-based environment. HL7 Adapters will be replaced with the HL7 endpoints provided by the Oracle SOA Suite for healthcare integration infrastructure. What minimal routing is used will be provided by the Mediator component via JMS Queues. Transformation logic will be ported to the Java POJO (Plain Old Java Object) and will be embedded in the endpoint as a document callout.
This article walks through the process of “extracting” JCD source and related archives from Java CAPS, developing a stand-alone Java application which uses the JCD source, encapsulating JCD source in a SOA Suite for healthcare integration callout and finally reproducing Java CAPS HL7 solution functionality in an equivalent SOA Suite for healthcare integration solution.
The complete article is available at http://blogs.czapski.id.au/wp-content/uploads/2013/02/09_HL7JCD2DocumentCalloutMigration_v1.0.1.pdf.

Data files used in this article series are available at:

ADT_A01_output_1.hl7 – http://blogs.czapski.id.au/wp-content/uploads/2013/01/ADT_A01_output_1.zip – this file contains a single ADT A01 transaction

SOA Suite for healthcare integration Series – HL7 v2 solution using JMS “the Java CAPS way”

This article may be of interest to these who would like to use the “SOA Suite for healthcare integration” HL7 v2 delimited message handling functionality in solutions similarly to how Oracle Java CAPS HL7 eWay-based solutions were built, perhaps as endpoints in a “Service Bus”-based infrastructure, or to these who would like to use the HL7 messaging handing functionality in OSB environments. In essence, for these unfamiliar with the Java CAPS pattern of use, there were the “Inbound HL7 eWay” and the “Outbound HL7 eWay” patterns. An inbound HL7 v2 Adapter (eWay) would receive a HL7 message, perform all (minimal) validation and acknowledgement processing and store the incoming message in a persistent JMS Queue for some downstream component to process the message as necessary. An Outbound HL7 v2 Adapter (eWay) would read a HL7 message from a JMS Queue (where it was deposited by some upstream component) and send it out to the external system, performing any HL7 ACK processing that might have been required.
In the prior articles in this series we used direct integration between the HL7 v2 endpoints and SOA Suite Composites which provided processing logic. While in my articles JMS is used implicitly as an internal mechanism (via B2B_IN_QUEUE and B2B_OUT_QUEUE JMS queues) the SOA Suite composite did not explicitly use JMS adapters.
It is possible to configure SOA Suite for healthcare integration endpoints in such a way that messages the inbound endpoint receives will be deposited in a particular JMS destination (queue or topic other than the B2B_IN_QUEUE) associated with the endpoint, and messages to be sent by an outbound endpoint will originate in a specific JMS destination (queue or topic other than the B2B_OUT_QUEUE). This will allow such endpoints to be used in Oracle Service Bus-based or other ESB-based solutions as services with JMS interfaces.
In this article we will develop and exercise an inbound-to-JMS and JMS-to-outbound HL7 v2 delimited message processing solutions to demonstrate this capability.

The complete article is available at http://blogs.czapski.id.au/wp-content/uploads/2013/02/SOASuiteHCI_ch15_Inbound_HL7v2Delimited_The_JavaCAPS_Way_v0.1.0.pdf.

Data files used in this article series are available at:

ADT_A01_broken_1.hl7 – http://blogs.czapski.id.au/wp-content/uploads/2013/01/ADT_A01_broken_1.zip – this file contains a single ADT A01 transaction, in which the EVN segment’s name is rbroken, making the message invalid. This message is used in the article “SOA Suite for healthcare integration Series – Exception Handling – Processing Endpoint Errors” for testing exception handling
ADT_A01_output_1.hl7 – http://blogs.czapski.id.au/wp-content/uploads/2013/01/ADT_A01_output_1.zip – this file contains a single ADT A01 transaction
ADT_A03_output_1.hl7 – http://blogs.czapski.id.au/wp-content/uploads/2013/01/ADT_A03_output_1.zip – this file contains a single ADT A03 transaction
ADT_A01_output_5099.hl7 – http://blogs.czapski.id.au/wp-content/uploads/2013/01/ADT_A01_output_5099.zip – this file 5099 ADT A01 transactions, separated by \r\r\n, or Carriage Return, Carriage Return and New Line
QRY_A19.hl7 – http://blogs.czapski.id.au/wp-content/uploads/2013/01/QRY_A19.zip – this file contains a sample A19 query message

Migrating Java CAPS 5/6 Assets to Oracle SOA Suite 11g – HL7 JCD to Spring Component Migration

This article is of potential interest to these Sun/SeeBeyond customers who have an investment in moderate and large Java Collaboration Definition-based transformation and mapping rules, and who are looking for ways to reuse as much as possible of the Java code involved, when migrating to the Oracle SOA Suite. The example developed in this article comes from the healthcare domain and uses the HL7 OTDs (Object Type Definitions). This is a deliberate choice because all but the most trivial HL7 transformations will involve hundreds of lines of Java code, therefore are a good candidates for migrating to the SOA Suite Spring Component as means of preserving the code and the effort invested in developing it. This does not make the method domain-specific. On the contrary, the method is applicable to all other domains where JCDs with significant transformation and mapping rules content are used.

Discussion in this article addresses a subset of technologies available in the Java CAPS and in the SOA Suite. Specifically, the Java Collaboration Definitions supported in Java CAPS 5.x and in Java CAPS 6/Repository, and the Spring Component supported in the SOA Suite 11g R1 PS2. Both use the Java programming language and related runtime environment to implement processing logic.  There is no discussion pertaining to JBI-based technologies or Java CAPS BPEL-based technologies. There is no discussion about other ways in which Java logic can be deployed as part of a Oracle SOA Suite solution.

The HL7 eWay and JCD based Java CAPS solution will be ported to the Oracle SOA Suite 11g B2B and Mediator-based environment. HL7 Adapters will be replaced with the Oracle “Healthcare Adapters”, provided by the SOA Suite B2B HL7 support infrastructure. Routing will be provided by the Mediator component and transformation logic will be ported to the Spring Component.

This article walks through the process of “extracting” JCD source and related archives from Java CAPS, developing a stand-alone Java application which uses the JCD source, encapsulating JCD source in a Spring component and finally reproducing Java CAPS HL7 solution functionality in an equivalent SOA Suite solution.

The complete article is available at http://blogs.czapski.id.au/wp-content/uploads/2010/10/08_HL7JCD2SpringComponentMigration_v1.3.pdf

Exercising a Resilient Java CAPS 6 HL7 v2 Repository Solution

From time to time prospective clients ask for a proof that Java CAPS will not loose HL7 messages in the event of machine or network failure.

In this Note a heterogeneous, non-clustered collection of hosts will be used to implement and exercise Java CAPS 6/Repository HL7 v2 based solutions. The environment consists of two independent “machines”, which are not a part of an Operating System Cluster. Each “machine” hosts a GlassFish Application Server, which is the Java CAPS 6 runtime. Application Servers are independent of one another and are not clustered. This is to demonstrate that HL7 processing components, and solutions based on these components and other standard components in the Java CAPS infrastructure, can be designed and implemented in such a way that message loss in the event of typical failure and disruption scenarios is avoided.

This note discusses an exercise involving an example healthcare environment processing HL7 v2 messages. Discussion includes customization of a generic Java CAPS 6.2 VMware Virtual Appliance for a specific HL7 exercise and deploying ready-made Java CAPS 6/Repository-based solutions. The exercise for HL7 eWay and HL7 Inbound and Outbound projects, processing HL7 v2.3.1 messages, will be conducted and discussed.

The reader will be convinced that a resilient Java CAPS solution can be configured and that it will process messages in the face of typical failure and disruption scenarios without message loss or duplication.

Note that this article is not introductory in nature. It assumes that the reader has a fairly good working knowledge of the Java CAPS 5 or Java CAPS 6/Repository product and a good working knowledge of related areas, such as HL7 messaging, virtualisation and suchlike. These matters are not explained in this article.

The note is available as 03_Conducting_JavaCAPS_6_HL7_Resilience_Exercise_v1.0.0.0.pdf at http://blogs.czapski.id.au/wp-content/uploads/2010/04/03_Conducting_JavaCAPS_6_HL7_Resilience_Exercise_v1.0.0.0.pdf

Kiran Busi pointed out o me that the project export links in the PDF documehnt are broken. Here they are, correct this time. It is less trouble to post them here then to modify the PDF and re-post that.

JC62_HL7_Resilience_Project_Exports_no_Envs – http://blogs.czapski.id.au/wp-content/uploads/2010/04/JC62_HL7_Resilience_Project_Exports_no_Envs.zip

JC62_HL7_Resilience_Project_Exports_with_Envs – http://blogs.czapski.id.au/wp-content/uploads/2010/04/JC62_HL7_Resilience_Project_Exports_with_Envs.zip

Installing Java CAPS 6.2 Runtime on the Basic JeOS Appliance for HL7 Resilience Testing

From time to time prospective clients ask for a proof that Java CAPS will not loose HL7 messages in the event of machine or network failure.

This note walks through the process of installing a Java CAPS 6.2 runtime on the Base OpenSolaris-based VMware Virtual Appliance, discussed in the Blog Entry “GlassFish ESB v2.x Field Notes – Preparing Basic JeOS Appliance for GlassFish ESB LB and HA Testing” at http://blogs.czapski.id.au/2010/01/glassfish-esb-v2-x-field-notes-preparing-basic-jeos-appliance-for-glassfish-esb-lb-and-ha-testing.

At the end of the Note we will have a Java CAPS 6.2 VMware Appliance with Java CAPS 6.2 Runtime infrastructure, ready to use for reliability testing, or any other purpose for which a Java CAPS 6.2 runtime appliance might be appropriate.

The Note is available at “http://blogs.czapski.id.au/wp-content/uploads/2010/04/02_Installing_JavaCAPS_6.2_on_JeOS_appliance_v1.0.0.0.pdf“.

GlassFish ESB v2.2 – Processing Explicit HL7 v2 Accept Acknowledgements

The HL7 v2 standard mandates the use of acknowledgments to ensure message delivery, critical in Healthcare. There are the “Original Mode” acknowledgments and “Enhanced Mode” acknowledgements. Within the enhanced mode acknowledgments there are “Accept Acknowledgements” and “Application Acknowledgements”.

This Note walks through development of two BPEL Module-based solutions that cooperate in generating and processing Enhanced Accept Acknowledgments using HL7 v2.3.1 messages. This discussion should apply to any v2.x, greater then v2.2, where the Enhanced Mode acknowledgments were introduced. In addition, the solutions are used to illustrate receiving HL7 BC ACK generation, when receiving an invalid HL7 message.

The Note, Processing_Explicit_HL7_AcceptAcks_v1.0.0.0.pdf, can be found at http://blogs.czapski.id.au/wp-content/uploads/2010/03/Processing_Explicit_HL7_AcceptAcks_v1.0.0.0.pdf.
The associated GlassFish ESB v2.2 Projects, HL7EA_Projects.zip, can be found at http://blogs.czapski.id.au/wp-content/uploads/2010/03/HL7EA_Projects.zip.

GlassFish ESB v2.1 – Excessive length of Stay Healthcare IEP Demonstration

As a healthcare enterprise looks after patients, information is gathered about various events that take place. Information about notable events, Admissions and Discharges, for example, is recorded in Hospital Information Systems or Patient Administration Systems. These systems typically broadcast event information in a form of HL7 messages for use by other enterprise systems, for example laboratory or diagnostic imaging. A stream of HL7 messages can be intercepted and processed to derive all sorts of interesting information.

The solution developed in this walkthrough deals with Excessive Length of Stay. Length of stay is defined as the period between patient’s admission to and discharge from the hospital. Statistical average expected length of stay is typically available for different kinds of patients presenting with different kinds of conditions. A significant variation from the average length of stay for specific patients may indicate complications, treatment errors, infections and other kinds of issues that the hospital needs to investigate. Notification of such incidents may help the hospital in addressing these issues and prevent future occurrences.

In this solution the Intelligent Event Processor is used to calculate the continuously updated average length of stay over a period of time and use it to compare against each event’s length of stay. It passes, to the downstream component, all events where the length of stay exceeds the average by 1 ½ times and ignores all others.

In the initial iteration, the solution reads a stream of discharge messages, containing admission date, discharge date, length of stay, and a bunch of other fields from a file and passes them to the IEP process. The IEP process keeps the window on the last 10 seconds worth of records and continuously calculates the average length of stay over all records in that window. As records are added to and removed from the window the average is recalculated. As each record is seen its length of stay is compared to the average length of stay of all records in the window at the time. If the length of stay in the current record is less then or equal to 1 ½ times the average at the same time the record is discarded. If the average is greater the record is ejected to the output and ultimately written to a file of exception records.

In a subsequent iteration the solution is modified to accept messages from a JMS Queue. This modification allows the solution to use the stream of discharge messages produced by the HL7 Processor solution, discussed in “HL7 Processor Demonstration – GlassFish ESB v2.1”, http://blogs.czapski.id.au/?p=23.

In a further modification the solution is configured to send notification messages to another JMS Queue. Notification messages are processed by a different solution and sent to an email recipient.

The document, “Excessive length of Stay Healthcare IEP Demonstration”, can be found at http://blogs.czapski.id.au/wp-content/uploads/2010/03/Combinned_Intelligent_Event_Processor_Demonstration_v1.0.pdf

The pre-built projects in the “Excessive length of Stay Healthcare IEP Demo Companion Archive” can be found at http://blogs.czapski.id.au/wp-content/uploads/2010/03/Healthcare_Demo_Combined_v1.0.zip

Java CAPS 5 / 6, OpenESB, GlassFish ESB – Handling SOAP Headers in BPEL

Every now and then there arises a need to carry out-of-band information alongside the business payload but without disturbing or modifying it. Message Envelope Pattern is the Enterprise Integration Pattern label that is typically applied to solutions that address this issue. How the issue is addressed in practice varies depending on the technology in use. For JMS, for example, JMS Message Properties could be used to carry out-of-band information while the payload would be carried as the JMS payload. Web Services, typically using SOAP over HTTP, can address this requirement through the SOAP Header Extension Mechanism, whereby custom headers can be added to the SOAP Header while the payload is carried in the SOAP Body.

This document discusses construction of a WSDL that supports custom SOAP Header element and BPEL processes that are used to set and get custom header values in JBI and in eInsight. This mechanism is known to work in Java CAPS 5.x, Java CAPS 6 Classic and OpenESB / GlassFish ESB.

It is assumed that the reader is sufficiently familiar with the GlassFish ESB / OpenESB BPEL Service Engine and the SOAP/HTTP Binding Component, and / or Java CAPS Classic eInsight Business Process Manager and eDesigner IDE to be able to build projects without a step-by-step pictorial document.

The document is available here: 01_Handling_SOAP_Headers_in_BPEL_.pdf
The companion archive, containing WSDLs and projects, is available here: 01_Handling_SOAP_Headers_in_BPEL.zip

While the method discussed in this entry is still valid there is now a different treatment of the topic, using NM Properties, “GlassFish ESB v2.x – Reading and Writing arbitrary SOAP Headers in BPEL 2.0 using NMProperties“.

Java CAPS 6 Update 1 Repository, Re-Implementing WS-Security 1.0 (2004) with JAX-RPC and JWSDP 2.0 (Java CAPS 6 Update)

This document discusses how to implement support for WS-Security 1.0 (2004) in Java CAPS 6 Repository projects without resorting to SOAP Message Handlers. This is an update to my 3 year old Java CAPS 5.1 document on this topic, “Java CAPS 5.1, Implementing WS-Security 1.0 (2004) with JAX-RPC“. In this “release” Access Manager support for Username Token Profile has been removed. Feel free to add it if you need such support.

Java CAPS 6 Update 1 supports a mechanism for hooking SOAP envelope handlers into the Java CAPS Web Services framework so what I did and described in this document can now be done differently – perhaps better. I had a look at how to implement SOAP Message Handlers and it looked like work so I did not go there.

This material is provided on “all care but no responsibility” basis. Sun Java CAPS Support will not support this and neither will I. JAX-RPC from JWSDP 2.0, which is at the heart of the implementation, is deprecated and has long since been replaced by WSIT/JAX-WS/Tango.

Here is the document: Implementing_WS-Security_1.3_for_JavaCAPS6U1Repository.pdf
Here is the companion archive with all the required material: WSSecSampleProject_1.3_JCAPS6U1.zip

The WSSecurity.jar contains both the binary classes and the Java sources.

GlassFish v 2.1, Web Space Server 10 – Patient Lookup Visual Web JSF Portlet with a basic Google Map

The business idea behind the functionality developed in this walkthrough is that patients are looked after in various healthcare facilities. Healthcare workers need to lookup patient details such as their identifier, gender, birth date or address. A relational database holds patient details as well as other information of relevance such as descriptions of various coded values. Patient details are available through a web service. Facility list and details, used to narrow down the search for patients to a specific facility, are available through a web service. These web services will be used to construct the Portlet that will allow patient search and a display of patient details with display a Google Map, centered at patient’s address, if one is available and is valid for the purpose of mapping. This Portlet will be deployed to the Sun FOSS Web Space Server 10 Portal.

The previous blog entry walked through development and deployment of the basic Patient Lookup Portlet. In this document I add a basic Google Map to the Patient Lookup Portlet.

Other blog entries in this series walked the reader through the process of implementing GlassFish ESB v2.1-based web services which return facility list and facility details as well as patient details.

Note that this walkthrough builds on the Patient Lookup Portlet, built previously, but deals exclusively with Visual Web JSF portlet-related technologies, Java Script and Google Maps API.

The walkthrough document is here: 02_PatienLookup_VWJSFPortletGooMapBasic.pdf

The project archive is here: PatientLookupGooMapBasicVWJSFP_companion_archive.zip