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Turbine Transformations\n\nTransformation functions for use within Turbine.\n\n## Install\n\n`npm i @swimlane/turbine-transformations`\n\n## Building\n\n`npm run build`\n\n## Testing\n\n`npm run test`\n\n## Usage\n\nIn order to utilize the transformation functions, you will first need to instantiate an evaluator. The only evaluators\nthat are currently supported are a Native evaluator and a JSONata evaluator. The JSONata evaluator allows the\ntransformation functions to be invoked from within JSONata expressions and the Native evaluator allows the\ntransformation\nfunctions to be invoked directly (i.e. no intermediate expression language) via the same abstraction (i.e. the\nTransformationEvaluator abstraction).\n\nDue to a limitation with JSONata, functions can only be accessed via their namespaced-concatenated names. That is,\nby concatenating the function's namespace with the function's capitalized name. For example: `date.adjust` -> `dateAdjust`.\n\n### JSONata\n\n```typescript\nconst evaluator = new JSONataEvaluator();\nconst context: TransformationContext<JSONataInput> = {\n  input: {\n    expression: `$dateAdjust(date, 5, 'days')`,\n    data: {\n      date: new Date(Date.now()).toISOString()\n    }\n  }\n};\nconst result = await evaluator.evaluate(context) as string;\n```\n\n### Native\n\n```typescript\nconst evaluator = new NativeEvaluator();\nconst context: TransformationContext<NativeInput> = {\n  input: {\n    function: 'dateAdjust',\n    arguments: [new Date(Date.now()).toISOString(), 5, 'days']\n  }\n};\nconst result = await evaluator.evaluate(context) as string;\n```\n","readmeFilename":"README.md"}