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author | Fiete Ostkamp <Fiete.Ostkamp@telekom.de> | 2024-02-22 13:19:35 +0100 |
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committer | Fiete Ostkamp <Fiete.Ostkamp@telekom.de> | 2024-02-22 13:26:49 +0100 |
commit | c7d3869e64534a06692191d0cdfecb2b30138c13 (patch) | |
tree | 3107fdf7dd2a00d2481ddbd91aaceb12f15f04ab /README.md | |
parent | 5ec525d780ef43770a896cda70ce633af1503095 (diff) |
Update aai-common-alpine base image in model-loader
- update aai-common-alpine base image from 1.8.1 to 1.13.2
- rename README file
Issue-ID: AAI-3785
Change-Id: I0343c5ffc4dc3b00fd95cdd1a18f4d9ca663f832
Signed-off-by: Fiete Ostkamp <Fiete.Ostkamp@telekom.de>
Diffstat (limited to 'README.md')
-rw-r--r-- | README.md | 140 |
1 files changed, 140 insertions, 0 deletions
diff --git a/README.md b/README.md new file mode 100644 index 0000000..5aa1733 --- /dev/null +++ b/README.md @@ -0,0 +1,140 @@ +# Introduction + +The A&AI Model Loader Service is an application that facilitates the distribution and ingestion of +new service and resource models and VNF catalogs from the SDC to the A&AI. + +## Features + +The Model Loader: + +* registers with the SDC to receive notification events +* polls the UEB/DMaap cluster for notification events +* downloads artifacts from SDC upon receipt of a distribution event +* pushes distribution components to A&AI + +### VNF Catalog loading + +The Model Loader supports two methods for supplying VNF Catalog data for loading into A&AI: + +* Embedded TOSCA image and vendor data<br/>VNF Catalog data can be embedded within the TOSCA yaml files contained in the CSAR. + + +* VNF Catalog XML files<br/>VNF Catalog data in the form of XML files can be supplied in the CSAR under the path `Artifacts/Deployment/VNF_CATALOG` + +**Note: Each CSAR should provide VNF Catalog information using only one of the above methods. If a CSAR contains both TOSCA and XML VNF Catalog information, a deploy failure will be logged and published to SDC, and no VNF Catalog data will be loaded into A&AI** + +## Compiling Model Loader + +Model Loader can be compiled by running `mvn clean install` +A Model Loader docker image can be created by running `docker build -t onap/model-loader target` + +## Running Model Loader + +Push the Docker image to your Docker repository. Pull this down to the host machine. + +**Create the following directories on the host machine:** + + ./logs + ./opt/app/model-loader/appconfig + ./opt/app/model-loader/appconfig/auth + +You will be mounting these as data volumes when you start the Docker container. For examples of the files required in these directories, see the aai/test/config repository (https://gerrit.onap.org/r/#/admin/projects/aai/test-config) + +**Populate these directories as follows:** + +#### Contents of /opt/app/model-loader/appconfig + +The following file must be present in this directory on the host machine: + +_model-loader.properties_ + + # Always false. TLS Auth currently not supported + ml.distribution.ACTIVE_SERVER_TLS_AUTH=false + + # Address/port of the SDC + ml.distribution.ASDC_ADDRESS=<SDC-Hostname>:8443 + + # Kafka consumer group. + ml.distribution.CONSUMER_GROUP=aai-ml-group + + # Kafka consumer ID + ml.distribution.CONSUMER_ID=aai-ml + + # SDC Environment Name. This must match the environment name configured on the SDC + ml.distribution.ENVIRONMENT_NAME=<Environment Name> + + # Currently not used + ml.distribution.KEYSTORE_PASSWORD= + + # Currently not used + ml.distribution.KEYSTORE_FILE= + + # Obfuscated password to connect to the SDC. To obtain this value, use the following Jetty library to + # obfuscate the cleartext password: http://www.eclipse.org/jetty/documentation/9.4.x/configuring-security-secure-passwords.html + ml.distribution.PASSWORD=OBF:<password> + + # How often (in seconds) to poll the Kafka topic for new model events + ml.distribution.POLLING_INTERVAL=<integer> + + # Timeout value (in seconds) when polling the Kafka topic for new model events + ml.distribution.POLLING_TIMEOUT=<integer> + + # Username to use when connecting to the SDC + ml.distribution.USER=<username> + + # Artifact type we want to download from the SDC (the values below will typically suffice) + ml.distribution.ARTIFACT_TYPES=MODEL_QUERY_SPEC,TOSCA_CSAR + + # URL of the A&AI + ml.aai.BASE_URL=https://<AAI-Hostname>:8443 + + # A&AI endpoint to post models + ml.aai.MODEL_URL=/aai/v*/service-design-and-creation/models/model/ + + # A&AI endpoint to post named queries + ml.aai.NAMED_QUERY_URL=/aai/v*/service-design-and-creation/named-queries/named-query/ + + # A&AI endpoint to post vnf images + ml.aai.VNF_IMAGE_URL=/aai/v*/service-design-and-creation/vnf-images + + # Name of certificate to use in connecting to the A&AI + ml.aai.KEYSTORE_FILE=aai-os-cert.p12 + + # Obfuscated keystore password to connect to the A&AI. This is only required if using 2-way SSL (not basic auth). + # To obtain this value, use the following Jetty library to obfuscate the cleartext password: + # http://www.eclipse.org/jetty/documentation/9.4.x/configuring-security-secure-passwords.html + ml.aai.KEYSTORE_PASSWORD=OBF:<password> + + # Name of user to use when connecting to the A&AI. This is only required if using basic auth (not 2-way SSL). + ml.aai.AUTH_USER=<username> + + # Obfuscated password to connect to the A&AI. This is only required if using basic auth (not 2-way SSL). + # To obtain this value, use the following Jetty library to obfuscate the cleartext password: + # http://www.eclipse.org/jetty/documentation/9.4.x/configuring-security-secure-passwords.html + ml.aai.AUTH_PASSWORD=OBF:<password> + + + +##### Contents of the /opt/app/model-loader/app-config/auth Directory + +The following files must be present in this directory on the host machine: + +_aai-os-cert.p12_ + +The certificate used to connected to the A&AI + +**Start the service:** + +You can now start the Docker container for the _Model Loader Service_, e.g: + + docker run -d \ + -e CONFIG_HOME=/opt/app/model-loader/config/ \ + -v /logs:/logs \ + -v /opt/app/model-loader/appconfig:/opt/app/model-loader/config \ + --name model-loader \ + {{your docker repo}}/model-loader + +where + + {{your docker repo}} +is the Docker repository you have published your image to. |