CIPA Team ramp-up on Mid.CBF MCS and SKA MVP software

The overall objective of this feature has been attained as described below. All team members working on this feature successfully completed the following activities: Install a virtual machine on their computers (with a Windows Host OS). Install Ubuntu Run and the SKA ansible-playbook script to setup TANGO-Controls, ZEROMQ and OMNIORB. Install the LMC base classes as a python package Installed Kubernetes Helm and Minikube Created a local Kubernetes cluster with one node (using minikube) Built the mcs docker containers, and launched the mid-cbf-mcs kubernetes cluster intthe cbf-mcs namespace). Launched Jive and selectively tested devices commands and attributes in Jive. In addition Taylor & Michelle also continued with more in depth study of the code base aspects and corresponded documentations as follows: Review of the relevant sections of: LMC-to-CSP-sub-elements ICD Mid.CBF SW Design Document Mid.CBF MCS design document Review and familiarization with Docker containers and Kubernetes basic command for cluster/nodes/log exploration and problems diagnosis Review of the familiarization with the make, helm charts, yml files and Pytest configuration files Review and understanding of the classes constituting mid-cbf-mcs, their hierarchy, their mapping to the ICD and their underlying communication. Review of the publish-subscribe paradigm for client-server communication and the way it is used within the mid-cbf-mcs classes The unit testing approach using the Python Pytest package Review and familiarization with the base classes and their multi-level hierarchy Review and familiarization of the way the operation states and observing states are model via state-machines The Python ‘Transitions’ packages for modeling state-machines Some of the challenges encountered by the team In the process are listed in the comments section. Story AT5-594 has been reassigned PIT0, Feature SP-1530 (mainly due to time constraints).