The PAMSimulator at gazelle.ihe.net is your server and will receive your
requests. You simply don't need an Application, because this is part of the
server-side API of HAPI. You only need the client (i.e. ConnectionHub
etc.). Or am I misunderstanding you?
Christian
2014-06-23 17:52 GMT+02:00 Sara Fatima <sara.mirz...@gmail.com>:
> Hi Christian
>
> Thank you. I understand that I need to change the host and port as per the
> PAMSimulator specification. However in the below lines of code,
>
> SimpleServer server = new SimpleServer(port, llp, parser);
>> Application handler = new ExampleReceiverApplication();
>> server.registerApplication("ADT", "A01", handler);
>
>
> it is creating an ExampleReceiverApplication, but I need to set the
> receiving application as PAMSimulator. How can I do this?
>
> Regards
> Sara Fatima
>
>
>
> On Mon, Jun 23, 2014 at 8:24 PM, Christian Ohr <christian....@gmail.com>
> wrote:
>
>> // A connection object represents a socket attached to an HL7 server
>> Connection connection = connectionHub
>> .attach("localhost", port, new PipeParser(),
>> MinLowerLayerProtocol.class);
>>
>> Just attach the connection to the Gazelle host and port instead of localhost.
>>
>> Christian
>>
>>
>>
>> 2014-06-23 11:30 GMT+02:00 Sara Fatima <sara.mirz...@gmail.com>:
>>
>>> Hi all,
>>>
>>> I am trying to send HL7 message to PAMSimulator
>>> <http://gazelle.ihe.net/PatientManager/pdc/PDC.seam?cid=4835#>. I need
>>> to do this over MLLP. I was trying this
>>> <https://svn.code.sf.net/p/hl7api/code/branches/RELEASE_1_0/hapi-mvn/hapi-examples/src/main/java/ca/uhn/hl7v2/examples/SendAndReceiveAMessage.java>
>>> example,
>>> but here the example is creating an example server to send the message. I
>>> do not intent to do this, as I am sending to the PAMSimulator server. I am
>>> looking to provide the port and the host of the server and send the
>>> message. How can I do this? Is there any sample code for this type?
>>>
>>> Thanks & Regards
>>> Sara Fatima
>>>
>>>
>>>
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>>
>
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HPCC Systems Open Source Big Data Platform from LexisNexis Risk Solutions
Find What Matters Most in Your Big Data with HPCC Systems
Open Source. Fast. Scalable. Simple. Ideal for Dirty Data.
Leverages Graph Analysis for Fast Processing & Easy Data Exploration
http://p.sf.net/sfu/hpccsystems
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