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This page describes how to generate artefacts for SDC catalog using Tosca Lab Tool. These artefacts are required for onboarding a microservice - see here.

The steps below are carried out using the 3GPP PM Mapper's(DCAE microservice) component spec as input.


Checkout the tosca lab repo:

root@node:~/tosca_lab# git clone https://gerrit.onap.org/r/sdc/dcae-d/tosca-lab
Cloning into 'tosca-lab'...
remote: Counting objects: 2, done
remote: Finding sources: 100% (2/2)
remote: Total 292 (delta 0), reused 292 (delta 0)
Receiving objects: 100% (292/292), 162.28 KiB | 0 bytes/s, done.
Resolving deltas: 100% (104/104), done.
Checking connectivity... done.
root@node:~/tosca_lab# ls
tosca-lab

Change directory to app:
root@node:~/tosca_lab# cd tosca-lab/
root@node:~/tosca_lab/tosca-lab# ls
INFO.yaml  LICENSE.TXT  app  docker  mvn-phase-script.sh  nginx  pom.xml  scripts  simple_compose_stdin.py  tox.ini  version.properties
root@node:~/tosca_lab/tosca-lab# cd app/
root@node:~/tosca_lab/tosca-lab/app# ls
README.md  __init__.py  data  map_sup_enrich_compose.py  model_create.py  policy_create.py  requirements.txt  simple_compose.py  tests  tosca_server.py  toscalib  version.py  web

Create tosca model artifacts from component spec:

root@node:~/tosca_lab/tosca-lab/app# python model_create.py -h
OPTIONS:
                                                                                     -h|--help: print this help message
                                                                                     -i|--input: The PATH to spec file
                                                                                     -o|--output: the folder for the output model
                                                                                     -n|--name: the name of the service
                                                                                     -t|--import: the PATH to import file
                                                                                     -m|--meta: the PATH to meta model file (default: ./data/meta_model/meta_tosca_schema.yaml
root@node:~/tosca_lab/tosca-lab/app# python model_create.py -i /home/ubuntu/tosca-lab/app/pmmapper-component-spec.json -o /home/ubuntu/tosca-model/
WARNING:root:Interface namecloudify.interfaces.lifecyclehas been definend in parenty type, overwritten here

Verify created tosca model artifacts :

root@node:~/tosca-model# cd /home/ubuntu/tosca-model/

root@node:~/tosca-model# ls
pmmapper-component-spec.json  schema.yaml  template.yaml  translate.yaml

Troubleshoot:

if yaal module is not installed (i.e you get the error message ImportError: No module named yaml  when executing the model_create.py command ) you will need to install PyYAML

You may first need to install pip  # apt install python-pip

root@node:~/tosca_lab/tosca-lab/app# pip install PyYAML
The directory '/home/ubuntu/.cache/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
The directory '/home/ubuntu/.cache/pip' or its parent directory is not owned by the current user and caching wheels has been disabled. check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
Collecting PyYAML
  Downloading https://files.pythonhosted.org/packages/9e/a3/1d13970c3f36777c583f136c136f804d70f500168edc1edea6daa7200769/PyYAML-3.13.tar.gz (270kB)
    100% |████████████████████████████████| 276kB 13.5MB/s
Installing collected packages: PyYAML
  Running setup.py install for PyYAML ... done
Successfully installed PyYAML-3.13
You are using pip version 18.1, however version 19.0.1 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.

Input and Output Files

schema.yaml   template.yaml  translate.yaml  pmmapper-component-spec.json

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