From: Guy Jacobson <guy@research.att.com>
Date: Thu, 28 Nov 2019 15:13:36 +0000 (-0500)
Subject: Add release notes for Acumos xAPP for Amber release
X-Git-Url: https://gerrit.o-ran-sc.org/r/gitweb?p=ric-app%2Fml.git;a=commitdiff_plain;h=HEAD

Add release notes for Acumos xAPP for Amber release

Change-Id: I12db889774420c7260d7e9473c3c333ba942d9c9

Signed-off-by: Guy Jacobson <guy@research.att.com>
Change-Id: I1bf82c6d2e9e2d1e74daddb9a12bc0e5ed1e4321
---

diff --git a/docs/index.rst b/docs/index.rst
index a9639a0..938164c 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -14,5 +14,6 @@ RIC APP ML
    :caption: Contents:
 
    overview.rst
+   release-notes.rst
 
 * :ref:`search`
diff --git a/docs/release-notes.rst b/docs/release-notes.rst
new file mode 100644
index 0000000..7a4f90b
--- /dev/null
+++ b/docs/release-notes.rst
@@ -0,0 +1,78 @@
+.. This work is licensed under a Creative Commons Attribution 4.0 International License.
+.. SPDX-License-Identifier: CC-BY-4.0
+.. Copyright (C) 2019 AT&T
+
+
+Release Notes
+=============
+
+
+This document provides the release notes for the Amber Release of the Acumos xAPP adapter.
+
+.. contents::
+   :depth: 3
+   :local:
+
+
+Version history
+---------------
+
++--------------------+--------------------+--------------------+--------------------+
+| **Date**           | **Ver.**           | **Author**         | **Comment**        |
+|                    |                    |                    |                    |
++--------------------+--------------------+--------------------+--------------------+
+| 2019-11-14         | 0.0.1              |  Guy Jacobson      | First draft        |
+|                    |                    |                    |                    |
++--------------------+--------------------+--------------------+--------------------+
+
+
+
+Summary
+-------
+
+The Amber release of the Acumos xAPP adapter contains the code needed to use an existing
+Acumos microservice as an O-RAN xAPP, by providing "glue" that listens and speaks RMR protocol
+and translates these into calls to the Acumos microservice, which is co-deployed in the
+same pod as the adapter.
+
+
+
+Release Data
+------------
+
++--------------------------------------+--------------------------------------+
+| **Project**                          |      RAN Intelligent Controller      |
+|                                      |                                      |
++--------------------------------------+--------------------------------------+
+| **Repo/commit-ID**                   |              ric-app/ml              |
+|                                      |                                      |
++--------------------------------------+--------------------------------------+
+| **Release designation**              |                 Amber                |
+|                                      |                                      |
++--------------------------------------+--------------------------------------+
+| **Release date**                     |              2019-11-14              |
+|                                      |                                      |
++--------------------------------------+--------------------------------------+
+| **Purpose of the delivery**          | open-source adapter between Acumos   |
+|                                      | and xAPPs.                           |
+|                                      |                                      |
++--------------------------------------+--------------------------------------+
+
+
+Components
+----------
+
+- *AcumosXappAdapter/* contains the source code and other items of interest. Under that directory :
+  
+  + *rmracumosadapter.py* is source code for the adapter itself.
+  + *iris_sklearn.py* is the source code for a generic Acumos model (iris classification).
+  + *config.json*  is a sample configuration file, needed to connect the Acumos model with the xAPP adapter during deployment.
+  + *Dokcerfile* is the Dockerfile that builds the xAPP adapter microservice.
+  + *testdata.csv* contains sample input data to test the iris_sklearn.py classifier
+ 
+
+Limitations
+-----------
+- This is a first release and needs some fixes to the Dockerfile function correctly, due to known problems with the build process to incorporate the required nng libraries.
+
+