Semantic Model Inference
When AST nodes are created during the parsing of a document, they are given a type. The language grammar dictates the shape of those types and how they might be related to each other. All types form the semantic model of your language. There are two ways by which Langium derives semantic model types from the grammar, by inference and by declaration.
Inference is the default behavior in Langium. During the generation of the semantic model types, Langium infers the possible types directly from the grammar rules. While this is a powerful approach for simple languages and prototypes, it is not recommended for more mature languages since minimal changes in the grammar can easily lead to breaking changes.
To minimize the chance of breaking changes, Langium introduces declared types where the semantic model types are explicitly defined by the user in the grammar via a TypeScript-like syntax.
In the following, we detail how grammar rules shape the semantic model via inference and declaration.
Inferred types result from letting Langium infer the types of the nodes from the grammar rules. Let’s have a look at how various rules shape these type definitions:
The simplest way to write a parser rule is as follows:
X: name=ID;
With this syntax, Langium will infer the type of the node to be generated when parsing the rule. By convention, the type of the node will be named after the name of the rule, resulting in this TypeScript interface in the semantic model:
interface X extends AstNode {
name: string
}
It is also possible to control the naming of the interface by using the following syntax:
X infers MyType: name=ID;
resulting in the following interface in the semantic model:
interface MyType extends AstNode {
name: string
}
Please note that an interface X
is no longer present in the semantic model.
It is important to understand that the name of the parser rule and the name of the type it infers work on two separate abstraction levels. The name of the parser rule is used at the parsing level where types are ignored and only the parsing rule is considered, while the name of the type is used at the types level where both the type and the parser rule play a role. This means that the name of the type can be changed without affecting the parsing rules hierarchy, and that the name of the rule can be changed - if it explicitly infers or returns a given type - without affecting the semantic model.
By inferring types within the grammar, it is also possible to define several parser rules creating the same semantic model type. For example, the following grammar has two rules X
and Y
inferring a single semantic model type MyType
:
X infers MyType: name=ID;
Y infers MyType: name=ID count=INT;
This result in the creation of a single interface in the semantic model ‘merging’ the two parser rules with non-common properties made optional:
interface MyType extends AstNode {
count?: number
name: string
}
Terminal rules are linked to built-in types in the semantic model. They do not result in semantic model types on their own but determine the type of properties in semantic model types inferred from a parser rule:
terminal INT returns number: /[0-9]+/;
terminal ID returns string: /[a-zA-Z_][a-zA-Z0-9_]*/;
X: name=ID count=INT;
// generated interface
interface X extends AstNode {
name: string
count: number
}
The property name
is of type string
because the terminal rule ID
is linked to the built-in type string
, and the property count
is of type number
because the terminal rule INT
is linked to the built-in type number
.
Data type rules are similar to terminal rules in the sense that they determine the type of properties in semantic model types inferred from parser rules. However, they lead to the creation of type aliases for built-in types in the semantic model:
QualifiedName returns string: ID '.' ID;
X: name=QualifiedName;
// generated types
type QualifiedName = string;
interface X extends AstNode {
name: string
}
There are three available kinds of assignments in a parser rule:
=
for assigning a single value to a property, resulting in the property’s type to be derived from the right hand side of the assignment.+=
for assigning multiple values to a property, resulting in the property’s type to be an array of the right hand side of the assignment.?=
for assigning a boolean to a property, resulting in the property’s type to be aboolean
.
X: name=ID numbers+=INT (numbers+=INT)* isValid?='valid'?;
// generated interface
interface X extends AstNode {
name: string
numbers: Array<number>
isValid: boolean
}
The right-hand side of an assignment can be any of the following:
- A terminal rule or a data type rule, which results in the type of the property to be a built-in type.
- A parser rule, which results in the type of the property to be the type of the parser rule.
- A cross-reference, which results in the type of the property to be a Reference to the type of the cross-reference.
- An alternative, which results in the type of the property to be a type union of all the types in the alternative.
X: 'x' name=ID;
Y: crossValue=[X:ID] alt=(INT | X | [X:ID]);
// generated types
interface X extends AstNode {
name: string
}
interface Y extends AstNode {
crossValue: Reference<X>
alt: number | X | Reference<X>
}
A parser rule does not necessarily need to have assignments. It may also contain only unassigned rule calls. These kind of rules can be used to change the types' hierarchy.
X: A | B;
A: 'A' name=ID;
B: 'B' name=ID count=INT;
// generated types
type X = A | B;
interface A extends AstNode {
name: string
}
interface B extends AstNode {
name: string
count: number
}
Actions can be used to change the type of a node inside of a parser rule to another semantic model type. For example, they allow you to simplify parser rules which would have to be split into multiple rules.
X:
{infer A} 'A' name=ID
| {infer B} 'B' name=ID count=INT;
// is equivalent to:
X: A | B;
A: 'A' name=ID;
B: 'B' name=ID count=INT;
// generated types
type X = A | B;
interface A extends AstNode {
name: string
}
interface B extends AstNode {
name: string
count: number
}
Actions can also be used to control the structure of the semantic model types. This is a more advanced topic, so we recommend getting familiar with the rest of the documentation before diving into this section.
Let’s consider two different grammars derived from the Arithmetics example. These grammars are designed to parse a document containing a single definition comprised of a name and an expression assignment, with an expression being any amount of additions or a numerical value.
The first one does not use assigned actions:
Definition:
'def' name=ID ':' expr=Expression;
Expression:
Addition;
Addition infers Expression:
left=Value ('+' right=Expression)?;
Primary infers Expression:
'(' Expression ')' | {Literal} value=NUMBER;
When parsing a document containing def x: (1 + 2) + 3
, this is the shape of the semantic model node:
graph TD; expr((expr)) --> left((left)) expr --> right((right)) left --> left_left((left)) left --> left_right((right)) right --> right_left((left)) left_left --> left_left_v{1} left_right --> left_right_{2} right_left --> right_left_v{3}
We can see that the nested right -> left
nodes in the tree are unnecessary and we would like to remove one level of nesting from the tree.
This can be done by refactoring the grammar and adding an assigned action:
Definition:
'def' name=ID ':' expr=Addition ';';
Expression:
Addition;
Addition infers Expression:
Primary ({infer Addition.left=current} '+' right=Primary)*;
Primary infers Expression:
'(' Expression ')' | {Literal} value=NUMBER;
Parsing the same document now leads to this semantic model:
graph TD; expr((expr)) --> left((left)) expr --> right((right)) left --> left_left((left)) left --> left_right((right)) right --> right_v{3} left_left --> left_left_v{1} left_right --> left_right_{2}
While this is a fairly trivial example, adding more layers of expression types in your grammar massively degrades the quality of your syntax tree as each layer will add another empty right
property to the tree. Assigned actions alleviate this issue completely.
Because type inference takes into account every entity of a parser rule, even the smallest changes can update your inferred types. This can lead to unwanted changes in your semantic model and incorrect behavior of services that depend on it. Declared types are a means to minimize the risk of introducing breaking changes when modifying the grammar.
In most cases, especially for early language designs, letting the type inference take care of generating your types will be your best choice. As your language starts to mature, it may then be of interest to fix parts of your semantic model using declared types.
With that aside, declared types can be especially helpful for more mature and complex languages, where a stable semantic model is key and breaking changes introduced by inferred types can break your language services. Declared types allow the user to fix the type of their parser rules and rely on the power of validation errors to detect breaking changes.
Let’s look at the example from the previous section:
X infers MyType: name=ID;
Y infers MyType: name=ID count=INT;
// should be replaced by:
interface MyType {
name: string
count?: number
}
X returns MyType: name=ID;
Y returns MyType: name=ID count=INT;
We now explicitly declare MyType
directly in the grammar with the keyword interface
. The parser rules X
and Y
creating nodes of type MyType
need to explicitly declare the type of the node they create with the keyword returns
.
Contrary to inferred types, all properties must be explicitly declared in order to be valid inside of a parser rule. The following syntax:
Z returns MyType: name=ID age=INT;
will show the following validation error A property 'age' is not expected
because the declaration of MyType
does not include the property age
. In short, declared types add a layer of safety via validation to the grammar that prevents mismatches between the expected semantic model types and the shape of the parsed nodes.
A declared type can also extend types, such as other declared types or types inferred from parser rules:
interface MyType {
name: string
}
interface MyOtherType extends MyType {
count: number
}
Y returns MyOtherType: name=ID count=INT;
Explicitly declaring union types in the grammar is achieved with the keyword type
:
type X = A | B;
// generates:
type X = A | B;
Using returns
always expects a reference to an already existing type. To create a new type for your rule, use the infers
keyword or explicitly declare an interface.
Declared types come with special syntax to declare cross-references, arrays, and alternatives:
interface A {
reference: @B
array: B[]
alternative: B | C
}
interface B {
name: string
}
interface C {
name: string
count: number
}
X returns A: reference=[B:ID] array+=Y (array+=Y)* alternative=(Y | Z);
Y returns B: 'Y' name=ID;
Z returns C: 'Z' name=ID count=INT;
Actions referring to a declared type have the following syntax:
interface A {
name: string
}
interface B {
name: string
count: number
}
X:
{A} 'A' name=ID
| {B} 'B' name=ID count=INT;
Note the absence of the keyword infer
compared to actions which infer a type.
Trying to reference different types of elements can be an error prone process. Take a look at the following rule which tries to reference either a Function
or a Variable
:
MemberCall: (element=[Function:ID] | element=[Variable:ID]);
As both alternatives are only an ID
from a parser perspective, this grammar is not decidable and the langium
CLI script will throw an error during generation. Luckily, we can improve on this by adding a layer of indirection using an additional parser rule:
NamedElement: Function | Variable;
MemberCall: element=[NamedElement:ID];
This allows us to reference either Function
or Variable
using the common rule NamedElement
. However, we have now introduced a rule which is never actually parsed, but only exists for the purpose of the type system to pick up on the correct target types of the reference. Using declared types, we are able to refactor this unused rule, making our grammar more resilient in the process:
// Note the `type` prefix here
type NamedElement = Function | Variable;
MemberCall: element=[NamedElement:ID];
We can also use interfaces in place of union types with similar results:
interface NamedElement {
name: string
}
// Infers an interface `Function` that extends `NamedElement`
Function returns NamedElement: {infer Function} "function" name=ID ...;
// This also picks up on the `Function` elements
MemberCall: element=[NamedElement:ID];