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* Update DemoBench documentation after revamp. * Remove mention of running demos within IntelliJ.
68 lines
4.3 KiB
ReStructuredText
68 lines
4.3 KiB
ReStructuredText
CLI vs IDE
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==========
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We have tried to make every example, tutorial and sample usable via both the command line and the IntelliJ IDE.
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Most developers will find writing, editing and debugging code more easy with tools such as an IDE. But when a production node
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is deployed, it will be controlled via the command line - no organisation allows their systems to be running via
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a developer environment.
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IDE - IntelliJ
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--------------
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IntelliJ (R3's preferred IDE) integrates well with gradle (our chosen build, deployment and CLI tool). IntelliJ understands gradle
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tasks and dependencies, automatically loading them in the background when a project is first opened or the gradle
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project changes. Occasionally, however, you may need to refresh the gradle project manually - but this is hinted to you
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by the IDE. It's a good idea to do this before carrying on with other work (and in fact you may find it is essential to pick
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up new libraries, etc.).
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There are some great resources about how to get started using IntelliJ. As opposed to trying to repeat them here, we advise
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you to go to the `IntelliJ docs here <https://www.jetbrains.com/idea/documentation/>`_.
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Command Line
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------------
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Windows vs Mac / Unix
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*********************
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Due to the nature of their respective command interfaces, gradle is typically ran in windows with the command ``gradle.bat``
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(or ``gradlew.bat`` if using the wrapper) and in Mac / Unix environments it is ran via ``./gradlew``. For brevity, the
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simple windows syntax ``gradle`` is used for the majority of the documentation.
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As well as including the most significant run and build configurations in the IDE, we also provide gradle tasks to build, install
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and run significant parts of Corda demos and tools. Gradle is highly extensible and we use it for downloading required resources,
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building components, installing those built components into shared areas, configuring the scripts that run nodes, starting
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up demonstration API calls amongst other things. It is exceptionally good at deriving dependency maps and therefore performing
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the preceding tasks required in order to do the requested task. However, when confusing build errors manifest, then sometimes
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a ``gradle clean`` may be required in order to clear out any build areas that have an inconsistent state. The total build time
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from downloading / cloning the repo to a complete build should be only a few minutes, obviously slightly longer if the
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unit tests are run.
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Frequently Used Gradle Tasks
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****************************
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Note that the list of tasks can be ran for any gradle project can be displayed by running the task ``tasks``. Also, note that
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gradle is hierarchical and therefore tasks in child directories can be run using a colon separator. For example, if you want to run
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the sample attachment demo run configuration ``runSender``, you would use the command ``gradle samples:attachment-demo:runSender``
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The most frequent gradle tasks you will probably be running are ``build`` and ``install``. The ``build`` command also executes the
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unit tests as well. If you want to build without this level of verification, then use the ``assemble`` command - but we do
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not recommend this. After running build, the ``install`` tasks copies over the built jars into the local maven repository
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which will then make these available for either the sample code or use with the CorDapp template.
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Debugging
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---------
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Tasks and processes that are run directly via the IDE (including via the usage of the ``driver`` DSL) can be remotely debugged.
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We do not have java debugging currently enabled in the ``runnodes`` scripts generated by a process we refer to as 'cordformation'
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but we will be implementing that shortly.
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Via the IDE
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***********
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To debug: From the IDE, configure the debug connectivity option by the "Edit Configurations" and choosing "+" and then "Remote".
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The debug port start at 5005 and increments for each additional node that starts, the order given by the list in the main
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driver configuration (which is primarily listed in the ``main`` function of ``Main.kt`` for each sample. Look for the string
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``Listening for transport dt_socket at address:5xxx`` in the log output to determine the exact port for that node. If the log
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messages are mixed from several nodes to the same console, then (as earlier stated), the port numbers increment in the order
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they are listed in the driver DSL configuration.
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