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A set of tools for generating Kubernetes Helm charts for EPICS-based systems.

Project description

epik8s-tools

epik8s-tools is a Python-based toolset for automating project structure generation, Helm chart creation, and deployment for EPICS (Experimental Physics and Industrial Control System) applications in Kubernetes environments EPIK8s. Designed to simplify complex deployment configurations, this package includes a command-line interface for rendering templates based on YAML configurations, making it easy to manage beamline and IOC (Input/Output Controller) configurations with a consistent structure. A simple guide to bring up a k8s single node cluster (extensible) is microk8s.

Features

  • Project Structure Generation: Automatically create directories and files needed for EPICS-based projects.
  • Helm Chart Creation: Generate Helm charts for Kubernetes deployments with custom values and templates.
  • OPI Generation: Configure OPI (Operator Interface) panels for each beamline, including macros and settings.
  • Support for Ingress and Load Balancers: Configurable settings for CA and PVA gateway IPs and ingress classes.
  • Customizable Options: Extensive CLI options to adapt configurations to specific project needs.
  • IOC Execution: Run IOC configurations directly using the epik8s-run tool.
  • Docker Compose Generation: Build ready-to-run single-node Docker Compose deployments with epik8s-compose.

Installation

Install epik8s-tools via pip:

pip install epik8s-tools

CLI Options

Option Description
--beamline Name of the beamline to configure.
--namespace Kubernetes namespace for the beamline deployment.
--targetRevision Target revision for Helm charts (default: experimental).
--serviceAccount Service account for Kubernetes.
--beamlinerepogit Git URL of the beamline repository.
--beamlinereporev Git revision for the repository (default: main).
--iocbaseip Base IP range for IOCs (e.g., 10.96.0.0/12).
--iocstartip Start IP within the IOC base range (default: 2).
--cagatewayip IP for the CA gateway load balancer.
--pvagatewayip IP for the PVA gateway load balancer.
--dnsnamespace DNS/IP address for ingress configuration.
--ingressclass Specify ingress class (haproxy, nginx, or empty for no ingress class).
--nfsserver NFS server address.
--nfsdirdata NFS directory for data partition (default: /epik8s/data).
--nfsdirautosave NFS directory for autosave partition (default: /epik8s/autosave).
--nfsdirconfig NFS directory for config partition (default: /epik8s/config).
--elasticsearch ElasticSearch server address.
--mongodb MongoDB server address.
--kafka Kafka server address.
--vcams Number of simulated cameras to generate (default: 1).
--vicpdas Number of simulated ICPDAS devices to generate (default: 1).
--mysqlchart Use custom MySQL chart instead of Bitnami (for microk8s).
--channelfinder Enable ChannelFinder and feeder services.
--openshift Flag for enabling OpenShift support.
--token Git personal token for repository access, if required.
--version Show version information and exit.

Examples

Basic Beamline Generation

Generate a new project structure for a beamline with the following command:

epik8s-tools my_project --beamline MyBeamline --iocbaseip 10.96.0.0/12 --beamlinerepogit https://github.com/beamline/repo.git

Generating OPI Panels

To generate OPI panels from beamline YAML configuration files, you can use the epik8s-opigen tool. This tool reads a beamline configuration and produces a Phoebus project with a generated launcher, settings.ini, and a local copy or link to the reusable epik8s-opi widget library.

Example Command

epik8s-opigen --config deploy/values.yaml --projectdir opi-output
  • --config: Path to the beamline YAML configuration file (e.g., deploy/values.yaml).
  • --projectdir: Directory where the OPI files will be generated (e.g., opi-output).

This command will generate the OPI panel files based on the configurations specified in the YAML file and save them in the specified output directory.

The generated Launcher.bob uses a dashboard layout rather than nested tabs:

  • Header banner with beamline name, IOC count, and namespace
  • Device-group sections (Motors, Cameras, Vacuum, etc.) each showing:
    • A section header with device count
    • One row per device with an embedded compact display (e.g., mot_channel.bob for motors) showing live status inline
    • An "Open ⬈" button per device that opens the full detail screen (e.g., Motor_Main.bob, Camera_Main.bob) in an independent Phoebus window
  • Services section showing gateways and load balancer IPs

This design replaces the previous tab-locked layout, allowing operators to simultaneously view and control devices of different types (e.g., motors and cameras) in separate windows.

Detailed Launcher

To generate a super-detailed per-IOC interface that includes PV monitoring and control panels, use the --detailed flag together with --pvlist-dir pointing to a directory containing runtime-generated PV lists:

epik8s-opigen --config beamline.yaml --projectdir opi \
  --detailed --pvlist-dir test-compose/iocs

The --pvlist-dir directory is expected to contain one subdirectory per IOC name, each with a pvlist.txt file (e.g., test-compose/iocs/motorsim/pvlist.txt).

This produces a Launcher_detailed.bob (customizable via --detailed-output) organized as:

  • Overview tab — beamline summary identical to the normal launcher.
  • Per-IOC tabs (one tab per IOC), each containing:
    • Info — static IOC metadata from the YAML (prefix, template, devices, parameters).
    • Per-device sub-tabs — PV readback (TextUpdate) and setpoint (TextEntry) widgets for every PV, automatically categorized by subsystem (e.g., Main, Roi1, Stats1, Proc1).
    • Other PVs — PVs that could not be matched to a known device.
    • All PVs — flat list of every PV published by the IOC.

PVs ending in _RBV are rendered as read-only TextUpdate widgets; all others are rendered as editable TextEntry widgets.


Specifying CA and PVA Gateway IPs

For projects that require external access to Channel Access (CA) and PV Access (PVA) gateways, you can specify the IP addresses for the respective load balancers using the --cagatewayip and --pvagatewayip options.

Example Command

epik8s-tools my_project --beamline MyBeamline --cagatewayip 10.96.1.10 --pvagatewayip 10.96.1.11

Running IOCs with epik8s-run

The epik8s-run tool allows you to execute IOC configurations directly from a YAML file.

Example Command

epik8s-run beamline-config.yaml ioc1 ioc2 --workdir ./workdir --native
  • beamline-config.yaml: Path to the YAML configuration file containing IOC definitions.
  • ioc1, ioc2: Names of the IOCs to run.
  • --workdir: Working directory for temporary files (default: .).
  • --native: Run natively without using Docker.
  • --image: Specify the Docker image to use (default: ghcr.io/infn-epics/infn-epics-ioc-runtime:latest).

This command will validate the IOC configurations, generate necessary files, and start the IOCs either natively or in a Docker container.


Generating a Single-Node Docker Compose with epik8s-compose

The epik8s-compose tool converts a beamline YAML configuration into a ready-to-use directory for Docker Compose.

Example Command

epik8s-compose --config tests/beamline.yaml --output test-compose

Generated output includes:

  • docker-compose.yaml
  • epics.env (shared EPICS environment)
  • epics-channel.env (host helper for CA/PVA access)
  • per-IOC directories in iocs/<iocname>/

Start the Beamline

cd test-compose
docker compose up

Useful Options

  • --caport: starting CA port for gateway mappings (default 5064)
  • --pvaport: starting PVA port for gateway mappings (default 5075)
  • --htmlport: starting HTTP port for ingress-mapped services (default 8090)
  • --services: include only selected services/IOCs
  • --exclude: exclude selected services/IOCs
  • --platform: target container platform (default linux/amd64)

GitHub Actions

This repository includes GitHub workflows for CI, tag creation, and PyPI publishing.

Compose CI

Workflow: .github/workflows/compose-ci.yml

  • Runs on push and pull request to main
  • Tests epik8s-compose generation on sample configurations
  • Uploads generated compose artifacts for inspection

Create Release Tag

Workflow: .github/workflows/create-release-tag.yml

  • Manual trigger (workflow_dispatch)
  • Input: semantic version without v (for example 0.10.4)
  • Creates and pushes tag v<version>
  • Creates a GitHub Release with generated notes

Publish to PyPI

Workflow: .github/workflows/publish-pypi.yml

  • Triggered automatically on tag push matching v*
  • Builds the package and uploads to PyPI via twine

Required GitHub secret:

  • PYPI_API_TOKEN: PyPI API token with upload permissions for epik8s-tools

Recommended Release Flow

  1. Update package version in epik8s_tools/__init__.py.
  2. Merge changes to main.
  3. Run Create Release Tag workflow and provide the new version.
  4. Publish PyPI workflow runs automatically on the pushed tag.

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