Relate terminology of package names with service names

README.rst

@@ -39,23 +39,24 @@ finally postprocess the results.
 In the PyDYNA installation, the ``docker`` directory has two child
 directories:
 
-- ``pre``: Provides the interface for creating DYNA input decks.
-  This service includes highly abstracted APIs for setting up
-  LS-DYNA input decks. Included are DynaMech, DynaIGA, DynaICFD,
-  DynaSALE, DynaEM, and DynaAirbag.
-- ``solver``: Contains the code for interfacing directly with
-  the Ansys LS-DYNA solver. Because LS-DYNA is primarily a batch
-  solver with very limited interactive capabilities, the code in
-  this directory is similarly limited. The target use case is that
-  LS-DYNA is running in a container environment such as Docker or
-  Kubernetes. The code in the ``solver`` directory allows you to push
-  input files to the container, start LS-DYNA and monitor its progress,
-  and then retrieve results (RST) files.`
+- ``pre``: Contains the package with the ``ls-pre`` Docker image for the
+  ``pre`` service. This service provides highly abstracted APIs for creating and
+  setting up DYNA input decks for DynaMech, DynaIGA, DynaICFD, DynaSALE, DynaEM,
+  and DynaAirbag.
+- ``solver``: Contains the package with the ``dynasolver`` Docker image
+  for the ``solver`` service. This service provides highly abstracted
+  APIs for interacting directly with the Ansys LS-DYNA solver. Because LS-DYNA
+  is primarily a batch solver with very limited interactive capabilities, the
+  ``solver`` service is similarly limited. The target use case is that LS-DYNA is
+  running in a container environment such as Docker or Kubernetes. Using this
+  service, you can push input files to the container, start LS-DYNA
+  and monitor its progress, and then retrieve Ansys solver results (RST)
+  files.
 
 Once you have results, you can use the Ansys Data Processing Framework (DPF),
 which is designed to provide numerical simulation users and engineers
 with a toolbox for accessing and transforming simulation data. DPF
-can access data from Ansys solver result files and from several
+can access data from Ansys solver RST files and from several
 files with neutral formats, including CSV, HDF5, and VTK. Using DPF's
 various operators, you can manipulate and transform this data.
 
@@ -64,22 +65,31 @@ a simplified Python interface to DPF, thus enabling rapid postprocessing
 without ever leaving a Python environment. For more information on DPF-Post,
 see the `DPF-Post documentation <https://post.docs.pyansys.com>`_.
 
-Documentation
-=============
-For comprehesive information on PyDYNA, see the latest release
-`documentation <https://dyna.docs.pyansys.com/>`_.
+Documentation and issues
+========================
+Documentation for the latest stable release of PyDyna is hosted at `PyDYNA documentation
+<https://dyna.docs.pyansys.com/version/stable//>`_.
 
-On the `PyDyna Issues <https://github.com.mcas.ms/pyansys/pyDyna/issues>`_ page, you can create
-issues to submit questions, report bugs, and request new features. To reach
-the PyAnsys support team, email `pyansys.support@ansys.com <pyansys.support@ansys.com>`_.
+In the upper right corner of the documentation's title bar, there is an option for switching from
+viewing the documentation for the latest stable release to viewing the documentation for the
+development version or previously released versions.
+
+On the `PyDYNA Issues <https://github.com/ansys/pydyna/issues>`_ page, you can create issues to
+report bugs and request new features. On the `PyDYNA Discussions <https://github.com/ansys/pydyna/discussions>`_
+page or the `Discussions <https://discuss.ansys.com/>`_ page on the Ansys Developer portal,
+you can post questions, share ideas, and get community feedback. 
+
+To reach the project support team, email `pyansys.core@ansys.com <pyansys.core@ansys.com>`_.
 
 Usage
 =====
-Here is a basic preprocessing example:
-
-Get the input file from (``<repository-root-folder>/src/ansys/dyna/core/pre/examples/explicit/ball_plate/ball_plate.k``)
+The next few sections show how to preprocess, solve, and postprocess a ball plate example.
 
-The follow example can be obtained from (``<repository-root-folder>/examples/Explicit/ball_plate.py``)
+Preprocess
+----------
+The following code preprocesses a ball plate example. In the repository, you can get the
+input file from ``src/ansys/dyna/core/pre/examples/explicit/ball_plate/ball_plate.k`` and
+the Python file from ``examples/Explicit/ball_plate.py``.
 
 .. code:: python
 
@@ -162,9 +172,10 @@ The follow example can be obtained from (``<repository-root-folder>/examples/Exp
     downloadfile = os.path.join(downloadpath,"ball_plate.k")
     solution.download(serveroutfile,downloadfile)
 
-Here is a basic solving example:
-
-The follow example can be obtained from (``<repository-root-folder>/examples/solver/ball_plate_solver.py``)
+Solve
+-----
+The following code solves this basic ball plate example. In the repository,
+you can get the Python file from ``examples/solver/ball_plate_solver.py``.
 
 .. code:: python
 
@@ -177,7 +188,10 @@ The follow example can be obtained from (``<repository-root-folder>/examples/sol
     dyna.start(4)                                   # start 4 ranks of mppdyna
     dyna.run("i=ball_plate.k memory=10m ncycle=20000")   # begin execution
 
-Here is a basic postprocessing example:
+
+Postprocess
+-----------
+The following code postprocesses results from the solve of this basic ball plate example:
 
 .. code:: python
 

doc/source/contributing.rst

@@ -1,16 +1,17 @@
 Contribute
 ==========
 
-Overall guidance on contributing to a PyAnsys repository appears in the
-`PyAnsys Developer's Guide <https://dev.docs.pyansys.com/>`_. Ensure that you
-are thoroughly familiar with this guide before attempting to contribute to PyDYNA.
+Overall guidance on contributing to a PyAnsys library appears in the
+`Contributing <dev_guide_contributing_>`_ topic
+in the *PyAnsys Developer's Guide*. Ensure that you are thoroughly familiar
+with this guide before attempting to contribute to PyDYNA.
 
 The following contribution information is specific to PyDYNA.
 
 Clone the repository
 --------------------
 
-To clone and install the latest PyDYNA release in development mode, run this code:
+To clone and install the latest PyDYNA release in development mode, run these commands:
 
 .. code::
 
@@ -24,13 +25,16 @@ Post issues
 -----------
 
 Use the `PyDYNA Issues <https://github.com/pyansys/pydyna/issues>`_
-page to submit questions, report bugs, and request new features. When possible,
+page to report bugs and request new features. When possible,
 use these issue templates:
 
-* Bug report template
-* Feature request template
+* Bug, problem, error: For filing a bug report
+* Documentation issue: For requesting modifications to the documentation
+* Adding an example: For proposing a new example
+* New feature: For requesting enhancements to the code
 
-If your issue does not fit into one of these template categories, create your own issue.
+If your issue does not fit into one of these template categories, you can click
+the link for opening a blank issue.
 
 To reach the project support team, email `pyansys.core@ansys.com <pyansys.core@ansys.com>`_.
 

doc/source/getting-started/index.rst

@@ -10,7 +10,8 @@ page on the Ansys website.
 Installation
 ============
 To use PyDYNA, you must install Docker images for the ``pre`` and ``solver``
-services and the package.
+services and the ``ansys.dyna.core`` package itself.
+
 
 Install Docker image for the ``pre`` service
 --------------------------------------------

doc/source/user-guide/index.rst

@@ -4,23 +4,27 @@ User guide
 In the PyDYNA installation, the ``docker`` directory has two child
 directories:
 
-- ``pre``: Provides the interface for creating DYNA input decks.
-  This service includes highly abstracted APIs for setting up
-  LSN-DYNA input decks. Included are DynaMech, DynaIGA, DynaICFD,
-  DynaSALE, DynaEM, and DynaAirbag.
-- ``solver``: Contains the code for interfacing directly with
-  the Ansys LS-DYNA solver. Because LS-DYNA is primarily a batch
-  solver with very limited interactive capabilities, the code in
-  this directory is similarly limited. The target use case is that
-  LS-DYNA is running in a container environment such as Docker or
-  Kubernetes. The code in the ``solver`` directory allows you to push
-  input files to the container, start LS-DYNA and monitor its progress,
-  and then retrieve results (RST) files.
+In the PyDYNA installation, the ``docker`` directory has two child
+directories:
+
+- ``pre``: Contains the package with the ``ls-pre`` Docker image for the
+  ``pre`` service. This service provides highly abstracted APIs for creating and
+  setting up DYNA input decks for DynaMech, DynaIGA, DynaICFD, DynaSALE, DynaEM,
+  and DynaAirbag.
+- ``solver``: Contains the package with the ``dynasolver`` Docker image
+  for the ``solver`` service. This service provides highly abstracted
+  APIs for interacting directly with the Ansys LS-DYNA solver. Because LS-DYNA
+  is primarily a batch solver with very limited interactive capabilities, the
+  ``solver`` service is similarly limited. The target use case is that LS-DYNA is
+  running in a container environment such as Docker or Kubernetes. Using this
+  service, you can push input files to the container, start LS-DYNA
+  and monitor its progress, and then retrieve Ansys solver results (RST)
+  files.
 
 Once you have results, you can use the Ansys Data Processing Framework (DPF),
 which is designed to provide numerical simulation users and engineers
 with a toolbox for accessing and transforming simulation data. DPF
-can access data from Ansys solver result files and from several
+can access data from Ansys solver RST files and from several
 files with neutral formats, including CSV, HDF5, and VTK. Using DPF's
 various operators, you can manipulate and transform this data.
 

docker/pre/README.rst

@@ -16,10 +16,9 @@ Prerequisites
 
   The ``docker`` file in the  ``docker/pre`` directory is used to build the
   Linux-based Docker image.
-
 
-* Ensure that Docker is installed on your machine. If you do not have Docker installed,
-  see the `Docker website <https://www.docker.com>`_ for more information.
+* Ensure that Docker is installed on your machine. If you do not have Docker Desktop installed,
+  see `Overview of Docker Desktop <https://docs.docker.com/desktop/>`_ for installation links.
 
 * If you are building the image on Windows, ensure that the Windows Subsystem for Linux (WSL)
   is installed. For installation information, see Microsoft's
@@ -28,20 +27,29 @@ Prerequisites
 * Download the latest Linux release artifacts for the Linux Docker container:
   `linux-binaries.zip <https://github.com/ansys/pydyna/releases/download/v0.3.4/linux-binaries.zip>`_.
 
-* Move this ZIP file to the current location (``<repository-root-folder>/docker/pre``).
+* Move this ZIP file to the ``docker/pre`` directory and unzip it.
+
+
+Once all prerequisites are met, you can start the Docker container for the ``pre`` service.
 
-Starting the docker container
-^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+Start the Docker container for the ``pre`` service
+--------------------------------------------------
 
-There are two ways to start docker container.
+There are two methods for starting a Docker container for the ``pre`` service:
 
-1.build image and run container
+- Method 1: Build the Docker image and run the image as a container
+- Method 2: Start the container from a ``docker-compose.yml`` file
 
 
+Method 1: Build the Docker image and run the image as a container
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+To use this first method, you first build the Docker image of the ``pre`` service
+and then run the image as a container.
+
 Build the Docker image
 ::::::::::::::::::::::
 
-Once all prerequisites are met, perform these steps to build the Docker image:
+To build the Docker image, perform these steps:
 
 #. In your terminal, go to the ``docker`` directory.
 #. Run the following Docker command, replacing ``<DOCKERFILE_NAME>``
@@ -70,7 +78,8 @@ Once all prerequisites are met, perform these steps to build the Docker image:
 Run the image as a container
 ::::::::::::::::::::::::::::
 
-Perform these steps to run the image as a container:
+Once the Docker image of the ``pre`` service is built successfully, perform these steps to
+run this image as a container:
 
 #. Run this Docker command:
 
@@ -92,16 +101,16 @@ Perform these steps to run the image as a container:
      >>> c77ffd67f9fa   ghcr.io/ansys/ls-pre   "python3 ./linux-bin…"   7 seconds ago   Up 7 seconds   0.0.0.0:50051->50051/tcp, :::50051->50051/tcp   hardcore_margulis
 
 
-2.Start the container from docker-compose.yml file
-
+Method 2: Start the container from a ``docker-compose.yml`` file
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+To use this second method, you start the container for the ``pre`` service from a
+``docker-compose.yml`` file.
 
-Make sure the docker compose have been installed on your computer.
-For more information: https://docs.docker.com/compose/install/
-Ensure that Docker compose is installed on your machine. If you do not have Docker compose installed,
-see the `Docker website <https://docs.docker.com/compose/install/>`_ for more information.
+#. Ensure that Docker Compose has been installed on your computer. If Docker Compose is not
+   installed, see `Overview of installing Docker Compose <https://docs.docker.com/compose/install/>`_
+   in the Docker documentation.
 
-* Locate yourself at ``<repository-root-folder>/docker/pre`` in your terminal.
-* Run this Docker command:
+#. In your terminal, go to the ``docker/pre`` directory and run this Docker command:
 
   .. code:: bash
 

docker/solver/README.rst

@@ -1,7 +1,7 @@
 Build the Docker image for the ``solver`` service
 =================================================
 
-You must build the Docker image for the PyDNA ``solver`` service and then
+You must build the Docker image for the PyDYNA ``solver`` service and then
 run the image as a container.
 
 Prerequisites
@@ -17,8 +17,8 @@ Prerequisites
   The ``docker`` file in the the ``docker/solver`` directory is used to build the
   Linux-based Docker image.
 
-* Ensure that Docker is installed on your machine. If you do not have Docker installed,
-  see the `Docker website <https://www.docker.com>`_ for more information.
+* Ensure that Docker is installed on your machine. If you do not have Docker Desktop installed,
+  see `Overview of Docker Desktop <https://docs.docker.com/desktop/>`_ for installation links.
 
 * If you are building the image on Windows, ensure that the Windows Subsystem for Linux (WSL)
   is installed. For installation information, see Microsoft's
@@ -27,20 +27,23 @@ Prerequisites
 * Download the latest Linux release artifacts for the Linux Docker container:
   `mppdyna_docker_centos7.zip <https://github.com/ansys/pydyna/releases/download/v0.3.4/mppdyna_docker_centos7.zip>`_.
 
-* Move this ZIP file to the current location (``<repository-root-folder>/docker/solver``) and unzip the mppdyna_docker_centos7.zip file.
+* Move this ZIP file to the ``docker/solver`` directory and unzip it.
 
-   The files in this folder should look similar to this:
+  The files in this folder should look similar to this:
 
-   .. code:: bash
+  .. code:: bash
+
+     >>> Dockerfile README.rst do_build docker-compose.yml docker_dir mpi mppdyna_docker_centos7.zip
 
-       >>> Dockerfile README.rst do_build docker-compose.yml docker_dir mpi mppdyna_docker_centos7.zip
+Once all prerequisites are met, you can build the Docker image for the ``solver`` service.
 
 Build the Docker image
 ----------------------
 
-Once all prerequisites are met, perform these steps to build the Docker image:
+To build the Docker image for the ``solver`` service, perform these steps:
 
 #. In your terminal, go to the ``pydyna/docker/solver`` directory.
+
 #. Run this Docker command:
 
    .. code:: bash
@@ -66,11 +69,10 @@ Once all prerequisites are met, perform these steps to build the Docker image:
 Run the image as a container
 ----------------------------
 
-Perform these steps to run the image as a container:
+Perform these steps to run the image for the ``solver`` service as a container:
 
 #. In the ``docker-compose.yml`` file, replace ``<license_server_name>`` with the correct
-   license server hosting the DYNA license.
-   If you are using Ansy Flexlm license 
+   license server hosting the DYNA license if you are using an Ansy FLEXlm license.
 
 #. Run this Docker command: