Extending the engine

Implementing storage classes and schedulers

CfFlow is a relatively low level engine and requires you to implement your own:

• storage class to store workflow state
• scheduler to handle delayed execution of automatic step actions

Combinations of storage classes and schedulers must then be bundled into a Workflow class that your workflow definitions can then specify.

Registering functions and conditions

Functions and conditions are core concepts of CfFlow. The engine comes with a set of pre-defined functions and conditions but you are also able to register your own.

See Creating a custom function and Creating a custom condition.

Registering token providers

Token providers allow you to customize how CfFlow provides dynamic argument values to functions and conditions.

See Creating a custom token provider.

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Table of contents

• Creating a workflow class
• Creating a state storage implementation
• Creating a scheduler implementation
• Creating a custom function
• Creating a custom condition
• Creating a custom token provider