MrKWatkins.Ast Help

Processing

Processing is an alternative method to listening for visiting nodes in a tree and performing some functionality. Processing is best for mutating a tree, such as replacing nodes or validating errors, whereas listeners are more suitable for building something new from a tree. Processing is performed via a pipeline of stages. Each stage consists of one or more processors which can optionally be run in parallel.

Ordered vs. Unordered Processors

There are two main categories of processor, ordered and unordered. When an ordered processor is executed on a tree then a well defined order of processing will be followed. Unordered processors do not guarantee the order in which nodes will be visited. Ordered processors cannot be run in parallel whereas unordered processors can. The reason for this is the nature of the parallel processing. The tree is walked once and nodes are handed off to a work queue for processing by other threads; this means race conditions stop us from guaranteeing the order of processing.

Unordered Processors

There are four base unordered processors classes that can be inherited from to create a processor:

You must implement the ProcessNode method to perform your processing. You can also optionally override the ShouldProcessNode method to perform a check and decide whether ProcessNode should be called for the node or not.

Processors with context must also override the CreateContext method to create the context object from the root node. Each processor gets a single context object for the walk through the tree. This differs from listening where the context object is passed in to the listeners. This is more appropriate for listeners as they are designed to create something new, which can be stored on the context object. For processors the context is designed to be used for caching data during the tree walk.

Ordered Processors

There are four base ordered processors classes that can be inherited from to create a processor:

As with unordered listeners you must implement the ProcessNode method to perform your processing and can also optionally override the ShouldProcessNode method, and override the CreateContext method if using context.

Ordered processors also have ways to control the order of processing. The Traversal property can be overridden to define the order to walk the tree; it defaults to depth first pre-order. The ShouldProcessChildren method can also be overridden to decide whether the children of a node should be processed or not.

Replacers

Replacers are a type of ordered processor to simplify the process of replacing nodes in a tree. There are three base replacer classes:

Override the ReplaceNode method to optionally replace a node. If a new node is returned then it will replace the old node; if the old node or null is returned then the node will not be replaced.

By default, the replacer will not be called for a new node and it's children; override the ReplaceNode property to change this behaviour. This will process the new node as well as its children so make sure not to get into an infinite loop!

Validators

Validators are a type of unordered processor to simplify the process of validating nodes in a tree. There are two base validator classes:

Override the ValidateNode method to return any errors, warnings or info messages to attach to the node being validated.

Pipelines

Processing pipelines consist of multiple stages, constructed using the Build method. Use the PipelineBuilder object to add stages to the pipeline via the AddStage and AddParallelStage methods. The overloads accept processor instances, processor types (which must have a parameterless constructor) or a PipelineStageBuilder object for more fine grained control over the stage.

Once you have built a pipeline then it can be run on a tree using the Run method. This will proceed through all the stages in order, returning true if all stages completed successfully, or false otherwise. By default, the pipeline will stop after a stage if there are any errors in the tree once that stage is complete. This behaviour can be changed using the WithShouldContinue or WithAlwaysContinue when building your pipeline stage.

Example

The maths example at https://github.com/MrKWatkins/Ast/tree/main/examples/Maths uses processing to reduce expressions in the tree and validate against divide by zero.

Last modified: 09 September 2024