@comunica/expression-evaluator
v3.2.1
Published
A simple SPARQL expression evaluator
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Comunica Expression Evaluator
Previously called sparqlee - sparql expression evaluator. A simple spec-compliant SPARQL 1.1 expression evaluator package.
Learn more about the expression evaluator.
This module is part of the Comunica framework, and should only be used by developers that want to build their own query engine.
Click here if you just want to query with Comunica.
Install
$ yarn add @comunica/expression-evaluator
Exposed classes
AsyncEvaluator
: An evaluator for SPARQL expressions working with Promises.IAsyncEvaluatorContext
: Context used to configure theAsyncEvaluator
. See Config.SyncEvaluator
: An evaluator for SPARQL expressions working without Promises.ISyncEvaluatorContext
: Context used to configure theSyncEvaluator
. See Config.AggregateEvaluator
: An evaluator for SPARQL aggregate expressions working without promises. See Aggregates.ExpressionError
: An error class for SPARQL expression errors as defined in the error section.isExpressionError
: A way to check if an error is of typeExpressionError
.orderTypes
: A function to order types according to the SPARQL ORDER BY specification.AsyncAggregateEvaluator
: An evaluator for SPARQL aggregate expressions working with promises. See Aggregates.
Development
Setup locally
- Install
yarn
andnode
. - Run
yarn install
. - Use these evident commands (or check
package.json
):- building once:
yarn run build
- benchmarking:
yarn run bench
- building once:
Adding or fixing functions
Functions are defined in the functions directory, and you can add or fix them there. All definitions are defined using a builder model defined in Helpers.ts.
Three kinds exists:
- Regular functions: Functions with a uniform interface, that only need their arguments to calculate their result.
- Special functions: whose behaviour deviates enough from the norm to warrant the implementations taking full control over type checking and evaluation (these are mostly the functional forms). They are seperated from the regular functions because they are able to take control over the evaluation. Since we have support both async and sync evaluations, each having a distinct context, special functions require an implementation for both. For regular functions, the sync and async evaluation is the same, to avoid overhead, we differentiate between these two.
- Named functions: which correspond to the SPARQLAlgebra Named Expressions.
Layout and control flow
The only important external facing API is creating an Evaluator. When you create one, the SPARQL Algebra expression that is passed will be transformed to an internal representation (see AlgebraTransformer.ts). This will build objects (see expressions module) that contain all the logic and data for evaluation, for example the implementations for SPARQL functions (see functions module). After transformation, the evaluator will recursively evaluate all the expressions.
Testing
The testing environment is set up to do a lot of tests with little code.
The files responsible for fluent behaviour reside in the test/util
module.
Most tests can be run by running the runTestTable
method in utils.
This method expects a TestTable. Multiple test are run over a TestTable (one for every line).
A TestTable may contain aliases if the aliases are also provided
(Some handy aliases reside in Aliases.ts).
This means that when testing something like "3"^^xsd:integer equals "3"^^xsd:integer
is "true"^^xsd:boolean
.
We would write a small table (for this example some more tests are added) and test it like this:
import { bool, merge, numeric } from './util/Aliases';
import { Notation } from './util/TruthTable';
import { runTestTable } from './util/utils';
runTestTable({
testTable: `
3i 3i = true
3i -5i = false
-0f 0f = true
NaN NaN = false
`,
arity: 2,
operation: '=',
aliases: merge(numeric, bool),
notation: Notation.Infix,
});
More options can be provided and are explained with the type definition of the argument of runTestTable
.
We can also provide an errorTable
to the runTestTable
method.
This is used when we want to test if calling certain functions on certain arguments throws the error we want.
An example is testing whether Unknown named operator
error is thrown when
we don't provide the implementation for an extension function.
import { bool, merge, numeric } from './util/Aliases';
import { Notation } from './util/TruthTable';
import { runTestTable } from './util/utils';
runTestTable({
errorTable: `
3i 3i = 'Unknown named operator'
3i -5i = 'Unknown named operator'
-0f 0f = 'Unknown named operator'
NaN NaN = 'Unknown named operator'
`,
arity: 2,
operation: '<https://example.org/functions#equal>',
aliases: merge(numeric, bool),
notation: Notation.Infix,
});
When you don't care what the error is, you can just test for ''
.
In case the tables are too restrictive for your test, and you need an evaluation.
You should still use the generalEvaluate
function from generalEvaluation.ts.
This function will automatically run both async and sync when possible.
This increases your tests' coverage.