Modeling hierarchical data structures: referencing attributes

The idea is to model a structure with attributes (which may again be structures).

struct A {
    val x
struct B {
    val a: A
struct C {
    val b: B
    val a: A
struct D {
    val c: C
    val b1: B
    val a: A

instance d: D
reference d.c.b.a.x
reference d.b1.a.x

Modeling classes and objects: class inheritance

Inherited attributes or methods can be accumulated with the textx.scoping.providers.ExtRelativeName scope provider:

Modeling Wiki-like texts with references inside

The idea is to model a string with an arbitrary content and links to other objects (the links are encoded with a special symbol, e.g. "[myref]" or - like in the exmample referenced below "@[myref]"):

ENTRY Hello:    """a way to say hello\@mail (see @[Hi])"""
ENTRY Hi:       """another way to say hello (see @[Hello])"""
ENTRY Salut:    """french "hello" (@[Hello]@[Hi]@[Bonjour]@[Salut]@[Hallo])"""
ENTRY Hallo:    """german way to say hello (see ""@[Hello]"")"""
ENTRY Bonjour:  """another french "\@@[Hello]", see @[Salut]"""
ENTRY NoLink:   """Just text"""
ENTRY Empty:    """"""

Referncing a JSON database from within a textX model

Here, we link a textX model with a non textX database (could be any database or data structure available in python). If you have, e.g., a DOORS binding, you could also reference such information sources.

Referencing global data using full qualified names

Multi-file models

Multi-metamodel multi-file models

Here, we focus on referencing model elements from models based on other textX meta models. These other meta models are typically imported from other python modules (e.g. deployed separately).

In the example referenced below, we simulate three modules with three classes in the unittest. Each class take the role of one module and defines one concrete DSL. These DLS reference each other.

  • Model example (types.type) - "Type"-DSL

    type int
    type string
  • Model example ( - "Data"-DSL

    #include "types.type"
    data Point { x: int y: int}
    data City { name: string }
    data Population { count: int}
  • Model example (data_flow.flow) - "Flow"-DSL

    #include ""
    #include "types.type" // double include, loaded 1x only
    algo A1 : Point -> City
    algo A2 : City -> Population
    connect A1 -> A2
  • Model example (data_flow.flow) - "Flow"-DSL with validation error

    #include ""
    algo A1 : Point -> City
    algo A2 : City -> Population
    connect A2 -> A1 // Error, must be A1 -> A2
  • Unittest tests/functional/test_metamodel/

Enable and distinguish float and int values for attributes

Parsing structures inside arbitrary surrounding text

See this StackOverflow question.