:alt: alternate text
:align: right
:target: https://bestpractices.coreinfrastructure.org/projects/1737
-
-Architecture
-============
-Sparky a service that interacts with AAI and provides users with a user interface to view and analyze AAI data. The main goal behind Sparky is to provide a clear and user friendly view of AAI data.
-It is divided into both a front-end (the code that constructs the GUI) and a back-end (the Java code and other technologies that provide the front-end with its data). When Sparky is to be deployed, a .war file containing the front-end needs to be copied into the ``/src/main/resources/extApps`` directory. The back-end will then use this .war to present the front-end to users.
+Overview
+========
+Sparky is a service that interacts with resources and traversal microservices, and provides users with a user interface to view and analyze AAI data. The main goal behind Sparky is to provide a clear and user friendly view of AAI data.
-At this time, Sparky has two views available for use:
+The key AAI repos for running the Sparky UI are:
-.. toctree::
- :maxdepth: 1
-
- Graph-based view of entities within AAI <./view_inspect>
- Aggregation-based view of VNFs within AAI VNFs <./vnfs>
-
-Interactions
-------------
-Sparky requires connections to the following additional services:
-
-Front-end:
-
-- A Sparky back-end to serve the front-end
-
-Back-end:
-
-- An AAI instance as the main driver behind data
-- An Elasticsearch instance for data storage (a Synapse service instance is an implicit dependency which populates the Elasticsearch indexes)
-- A Search Data Service instance for search functionality
-- An eCOMP Portal instance for authentication
-
-Logging
-=======
-Sparky uses the Logback framework to generate logs. The logback.xml file can be found under the ``src/main/resources/`` folder
-
-Installation
-============
-
-Steps: Back-end
----------------
-
-Clone Git Repository
-********************
-Clone the Sparky back-end Git repository
-
-Build
-*****
-
-After cloning the project, build the project by executing the following Maven command from the project's top level directory:
-
-.. code-block:: bash
-
- mvn clean install
-
-After a successful install, build the docker image:
-
-.. code-block:: bash
-
- docker build -t openecomp/sparky target
-
-Deploy
-******
-
-Push the Docker image that you have built to your Docker repository and pull it down to the location that you will be running Sparky.
-
-Create the following directories on the host machine:
-
-- /logs
-- /opt/app/sparky/appconfig
-
-You will be mounting these as data volumes when you start the Docker container.
-
-Clone Configuration Repository
-******************************
-
-Clone the "test-config" repo to a seperate directory.
-Navigate to ``[test-config repo location]/sparky/appconfig`` (will contain files such as ``aai.properties``).
-
-Copy the entire contents of ``[test-config repo location]]/sparky/appconfig`` into the ``/opt/app/sparky/appconfig`` directory you created in an above step.
-
-Steps: Front-end
-----------------
-
-Clone Git Repository
-********************
-Clone the ``sparky-fe.git`` Sparky back-end Git repository
-
-Install Required Tools
-**********************
-You will need to install the following tools:
-
-- node.js, including the Node Package Manager (NPM) (if there issues installing the latest version, try 6.10.1)
-- Python 2.7.13
-
-After installing node.js and NPM, you need to install the required node.js packages by executing:
-
-.. code-block:: bash
+- aai/sparky-fe: This holds the code that constructs the GUI
+- aai/sparky-be: This holds the Java code and other technologies that provide the front-end with its data.
- npm install
-
-Build
-*****
-
-**To build the front-end (generate a .war file)**:
-
-Execute:
-
-.. code-block:: bash
-
- gulp build
-
-The build will create a directory called ``dist`` and add the ``aai.war`` file to it.
-
-If changes to the build flow are required, updating ``webpack.config.js`` and ``gulpfile.js`` will likely provide any build tuning that is required.
-
-**To run the front-end:**
-
-Execute:
-
-.. code-block:: bash
-
- npm start
-
-By default the local instance of the UI will be served to ``https://localhost:8001/aai/#/viewInspect``.
-
-This can be configured in the file ``webpack.devConfig.js``.
-
-Deploy
-******
-
-Push the Docker image that you have built to your Docker repository and pull it down to the location that you will be running Sparky.
-
-**Create the following directories on the host machine:**
-
-- /logs
-- /opt/app/sparky/appconfig
-
-You will be mounting these as data volumes when you start the Docker container.
-
-Configuration
-=============
-
-Steps: Back-end
----------------
-
-Edit property files in /opt/app/sparky/appconfig
-************************************************
-
-Listed below are the values that will need to be updated to make Sparky operate properly. The configuration files contain comments for contents not listed here.
-
-**search-service.properties:**
-
-search-service.ipAddress=*[ip address / hostname of the search-data-service that this instance will use]*
-search-service.httpPort=[http port of the search-data-service that this instance will use]
-
-**aai.properties:**
-
-aai.rest.host= *[ip address / hostname of the aai that this instance will use]*
-
-aai.rest.port= *[rest port of the aai that this instance will use]*
-
-**elasticsearch.properties:**
-
-elasticsearch.ipAddress= *[ip address / hostname of the elasticsearch that this instance will use*]
-elasticsearch.httpPort=*[http port of the elasticsearch that this instance will use*]
-elasticsearch.javaApiPort=*[java api port of the elasticsearch that this instance will use*]
-
-**portal/portal.properties:**
-**portal/portal-authentication.properties:**
+.. toctree::
+ :maxdepth: 2
-If this instance of Sparky will be served in an eCOMP Portal instance, use the two files above to configure against the proper Portal instance.
+ platform/index.rst
Code Review / aai / sparky-be.git / blobdiff