FBP flow definition language parser

The fbp library provides a parser for a domain-specific language for flow-based-programming (FBP), used for defining graphs for FBP programming environments like ZenFlo, NoFlo, MicroFlo and MsgFlo.

Dependencies

• zenflo-graph
• Haxe
• Node.js

This project uses lix.pm as Haxe package manager. Run npm install to install the dependencies.

Compile and run

npm run haxe editor.hxml

Usage

You can use the FBP parser in your Haxe code with the following:

import fbp.FBP;
var fbpData = "'hello, world!' -> IN Display(Output)";
final graph = FBP.load(fbpData, {caseSensitive: false}); // this will produce a Zenflo graph
trace(graph.toJSON()); // convert to json and use in other non-ZenFlo environments

Language for Flow-Based Programming

FBP is a Domain-Specific Language (DSL) for easy graph definition. The syntax is the following:

• 'somedata' -> PORT Process(Component) sends initial data somedata to port PORT of process Process that runs component Component
• A(Component1) X -> Y B(Component2) sets up a connection between port X of process A that runs component Component1 and port Y of process B that runs component Component2

You can connect multiple components and ports together on one line, and separate connection definitions with a newline or a comma (,).

Components only have to be specified the first time you mention a new process. Afterwards, simply use the process name.

Example:

'somefile.txt' -> SOURCE Read(ReadFile) OUT -> IN Split(SplitStr)
Split OUT -> IN Count(Counter) COUNT -> IN Display(Output)
Read ERROR -> IN Display

The syntax also supports blank lines and comments. Comments start with the # character.

Example with the same graph than above :

# Read the content of "somefile.txt" and split it by line
'somefile.txt' -> SOURCE Read(ReadFile) OUT -> IN Split(SplitStr)

# Count the lines and display the result
Split() OUT -> IN Count(Counter) COUNT -> IN Display(Output)

# The read errors are also displayed
Read() ERROR -> IN Display()

Exporting ports

When FBP-defined graphs are used as subgraphs in other flows, it is often desirable to give more user-friendly names to their available ports. In the FBP language this is done by INPORT and OUTPORT statements.

Example:

INPORT=Read.IN:FILENAME
Read(ReadFile) OUT -> IN Display(Output)

This line would export the IN port of the Read node as FILENAME.

Node metadata

It is possible to append metadata to Nodes when declaring them by adding the metadata string to the Component part after a colon (:).

Example:

'somefile.txt' -> SOURCE Read(ReadFile:main)
Read() OUT -> IN Split(SplitStr:main)
Split() OUT -> IN Count(Counter:main)
Count() COUNT -> IN Display(Output:main)
Read() ERROR -> IN Display()

In this case the route leading from Read to Display through Split and Count would be identified with the string main. You can also provide arbitrary metadata keys with the = syntax:

Read() OUT -> IN Split(SplitStr:foo=bar,baz=123)

In this case the Split node would contain the metadata keys foo and baz with values bar and 123.

Annotations

FBP graphs also support annotations for specifying things like graph name, description, icon, or the FBP runtime to be used for executing the graph.

The syntax for annotations is # @name value, for example:

# @runtime noflo-nodejs
# @name ReadSomefile
'somefile' -> SOURCE Read(ReadFile)