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Get started
1
version: 0.8.0
inputs:
files:
- code/mycode.py
- inputs/mydata.csv
parameters:
myparameter: myvalue
workflow:
type: cwl
file: workflow/myworkflow.cwl
outputs:
files:
- results/myplot.png
2
$export REANA_SERVER_URL=https://reana.cern.ch/
$export REANA_ACCESS_TOKEN=XXXXXXX
$sudo dpkg -i kubectl*.deb kind*.deb kubernetes-helm*.deb
$wget https://raw.githubusercontent.com/reanahub/reana/maint-0.8/etc/kind-localhost-30443.yaml
$kind create cluster --config kind-localhost-30443.yaml
$wget https://raw.githubusercontent.com/reanahub/reana/maint-0.8/scripts/prefetch-images.sh
$sh prefetch-images.sh
$helm repo add reanahub https://reanahub.github.io/reana
$helm repo update
$helm install reana reanahub/reana --wait
$wget https://raw.githubusercontent.com/reanahub/reana/maint-0.8/scripts/create-admin-user.sh
$sh create-admin-user.sh default reana john.doe@example.org mysecretpassword
3
$virtualenv ~/.virtualenvs/myreana
$source ~/.virtualenvs/myreana/bin/activate
$pip install reana-client
$reana-client create -n my-analysis
$export REANA_WORKON=my-analysis
$reana-client upload ./code ./data
$reana-client start
$reana-client status
$reana-client ls
$reana-client open jupyter
$reana-client download results/plot.png
Documentation
Find out how you can use REANA to describe, run, preserve and reuse your analyses.
Install and manage the REANA reusable analysis platform on your own compute cloud.
Understand REANA source code, adapt it to your needs, contribute changes back.
Roadmap
What we work on now
Run hundreds of workflows on REANA in parallel as fast as possible. Introduce basic features for many-workflows-friendly output inspection and sharing.
What we plan to work on next
Introduce abstract dataset concept to handle a set of related files.
Use various remote storage backends for workflow workspace.
What is coming later
Introduce OpenID Connect to support more authentication mechanisms.
Introduce user groups and role-based authorisation control models.
Introduce live job log streaming for CLI and Web UI.