# Flows#

Use flows to automate your tasks.

Flows in dicehub are pipelines that allow to build and automate complex simulation tasks. Each task in a simulation can be customized and run on one or multiple machines.

On this page you can find more information about these topics:

## Flow component types#

A flow has multiple component types to setup a case:

• flow: A flow is a set of stages to be executed during the run.
• stage: Flows can be organized into stages, for example "download all case files" or "prepare the geometry". Stages can run in parallel.
• task: A task is a set of commands to be executed in one specified stage.
• service: A service is similar to a task except that it can stay in the background during the whole flow. This is useful when a service is needed to monitor the progress of a task.

## Basic flow example#

A very simple flow describes multiple stages. Every task is then executed based on the stage of a running flow.

graph LR; subgraph upload stage; upload --> upload_task_1; upload --> upload_task_2; end; subgraph run stage; run --> run_task; end; subgraph generate stage; generate --> generate_task; end; generate_task -.-> run; run_task -.-> upload;

Example for the /.dicehub/dicehub-flow.yml file with the flow configuration matching the diagram:

  1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 basic-flow: type: flow stages: - generate - run - upload run_task: type: task stage: run script: - echo "This task starts a run with the data from the previous stage" upload_task_1: type: task stage: upload script: - echo "This task uploads the result to the storage" upload_task_2: type: task stage: upload script: - echo "This task uploads something else to the storage simultaneously to the upload_task_1" 

Last update: January 20, 2022
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