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-runtool. - 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. |
--generate-settings-ini |
Generate opi/settings.ini in projects created by epik8s-gen. |
--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 and a local copy or link to the reusable epik8s-opi widget library. Generation of settings.ini is optional and disabled by default.
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).
If you also want Phoebus settings generated in the project directory, add:
epik8s-opigen --config deploy/values.yaml --projectdir opi-output \
--generate-settings-ini
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.bobfor 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.yamlepics.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 (default5064)--pvaport: starting PVA port for gateway mappings (default5075)--htmlport: starting HTTP port for ingress-mapped services (default8090)--services: include only selected services/IOCs--exclude: exclude selected services/IOCs--platform: target container platform (defaultlinux/amd64)
Generated notebook services are treated specially when --platform remains the default linux/amd64: epik8s-compose emits platform: ${NOTEBOOK_PLATFORM:-linux/arm64} for the notebook container. This avoids dead Jupyter kernels on Apple Silicon hosts while preserving amd64 as the default for the rest of the stack. Set NOTEBOOK_PLATFORM=linux/amd64 if you explicitly want the notebook container to use amd64 as well.
To keep notebook files persistent in compose, set epicsConfiguration.services.notebook.dataVolume.hostPath in the beamline YAML. Relative paths are resolved from the beamline config directory, so a config like this mounts a project folder into Jupyter workdir:
epicsConfiguration:
services:
notebook:
dataVolume:
hostPath: notebook_examples
epik8s-compose will bind-mount that directory into /home/jovyan/work instead of generating the default notebook-work folder under the compose output.
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-composegeneration 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 example0.10.4) - 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 forepik8s-tools
Recommended Release Flow
- Update package version in
epik8s_tools/__init__.py. - Merge changes to
main. - Run
Create Release Tagworkflow and provide the new version. Publish PyPIworkflow runs automatically on the pushed tag.
Project details
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