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Set up a REANA development workflow in its own directory, place a minimal reana.yaml, and run it using the Dockerized REANA client.
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npx skills add https://github.com/arm2arm/AstroAgentAssistant --skill reana-dev-workflow-setup명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
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SOC 직업 분류 기준
SKILL.md 표시 중
| name | reana-dev-workflow-setup |
| description | Set up a REANA development workflow in its own directory, place a minimal reana.yaml, and run it using the Dockerized REANA client. |
| author | Hermi (sorgenfresser) |
| version | 1 |
This skill automates the standard workflow for creating and executing a REANA analysis on the development REANA instance (https://reana-dev.kube.aip.de).
It:
reana.yaml and any user‑provided source files.The skill does not embed the access token; the user must export REANA_SERVER_URL and REANA_ACCESS_TOKEN in their shell before invoking the commands.
docker commands.https://reana-dev.kube.aip.de.read/run permission (export it as REANA_ACCESS_TOKEN).jq (optional, for any JSON post‑processing).WORKFLOW_NAME="my_analysis" # name you want for the workflow and its folder
WORKFLOW_DIR="${WORKFLOW_NAME}" # folder that will be created (can be absolute or relative)
# Optional: list of additional source files to copy into the folder (space‑separated)
## When to Use
Set up a REANA development workflow in its own directory, place a minimal reana.yaml, and run it using the Dockerized REANA client.
## Overview
This skill contains a reusable operational workflow. Follow the existing task-specific steps and examples in the sections below.
SOURCE_FILES="script.py data.csv" # leave empty if none
mkdir -p "${WORKFLOW_DIR}"
If the directory already exists, the command will leave its contents untouched.
reana.yamlThe skill ships a reference file templates/minimal_reana.yaml. Copy it into the new directory:
cp "$(dirname $(realpath $0))/templates/minimal_reana.yaml" "${WORKFLOW_DIR}/reana.yaml"
(If you call the skill from a Bash script, replace $(dirname $(realpath $0)) with the absolute path to the skill directory, e.g. ~/.hermes/skills/reana-workflows/reana-dev-workflow-setup/templates.)
Edit the copied file in‑place to set the workflow‑specific command or extra inputs. A quick one‑liner using sed (or manually edit) is:
sed -i "s|<WORKFLOW_NAME>|${WORKFLOW_NAME}|g" "${WORKFLOW_DIR}/reana.yaml"
The template already contains placeholders for <WORKFLOW_NAME> and a generic command entry that you should replace with the actual command you want to run (e.g. python run_analysis.py).
if [ -n "${SOURCE_FILES}" ]; then
cp ${SOURCE_FILES} "${WORKFLOW_DIR}/"
fi
Make sure the files are reachable from the directory (relative paths work fine).
export REANA_SERVER_URL="https://reana-dev.kube.aip.de"
export REANA_ACCESS_TOKEN="<YOUR_TOKEN_HERE>"
Never store the token in the skill; paste it only when you run the commands.
You have two equivalent options:
cd "${WORKFLOW_DIR}"
reana-client run -w "${WORKFLOW_NAME}" -f reana.yaml
docker run -i --rm \
-e REANA_SERVER_URL="$REANA_SERVER_URL" \
-e REANA_ACCESS_TOKEN="$REANA_ACCESS_TOKEN" \
-v "$(pwd)/${WORKFLOW_DIR}":/workspace \
reanahub/reana-client:0.95.0-alpha.3 \
run -w "${WORKFLOW_NAME}" -f /workspace/reana.yaml
Both commands will submit the workflow to the dev backend and start execution.
# Verify the server is reachable
reana-client ping
# Get the current status of the workflow
reana-client status -w "${WORKFLOW_NAME}"
# Stream the logs (real‑time output)
reana-client logs -w "${WORKFLOW_NAME}"
# List files that are present in the workflow workspace
reana-client ls -w "${WORKFLOW_NAME}"
If you used the Dockerized client, prepend the same docker run … reanahub/reana-client … wrapper to each of the above commands, mounting the current directory as /workspace.
reana.yaml template (stored under templates/minimal_reana.yaml)# -------------------------------------------------
# Minimal REANA workflow for the development backend
# -------------------------------------------------
environment:
repo: https://gitlab-p4n.aip.de/punch_public/reana/environments
name: python-3.12-slim # choose the most appropriate environment
workflow:
type: serial
specification:
- name: <WORKFLOW_NAME>
type: run
image: python:3.12-slim
command: |
# Replace the line below with the actual command you need
echo "Hello REANA!"
compute_backend: kubernetes
resources:
memory: 32gb
runtime: 01:00:00 # hh:mm:ss – adjust as needed
outputs:
files:
- output.png # example output, list everything you want to keep
Important:
environment: block to point to a custom repo – the organisation’s central repository must be used.runtime and outputs to match your analysis.export REANA_ACCESS_TOKEN=…). Do not write it into any file or script.WORKFLOW_NAME is unique; otherwise a later run will overwrite the previous folder.reana-client logs -w <name> to see the exact error messages from the container if the job fails.reana-client run … command again – REANA will create a new run number.ls ${WORKFLOW_DIR} shows at least reana.yaml and any source files you added.reana-client ping reports Status: Connected.reana-client run … returns a run number and finishes without immediate errors.reana-client status -w <name> eventually shows finished.reana-client ls -w <name> lists the declared output files.Generated by Hermi (sorgenfresser) – OpenAI gpt‑5.4 model