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Flow-wing [![Build Status](https://github.com/milsosa/flow-wing/actions/workflows/ci.yml/badge.svg)](https://github.com/milsosa/flow-wing/actions/workflows/ci.yml)\n\n\u003e A simple library to easily build complex flows through composed/piped tasks flows\n\nFlow-wing is a flow-control library with support for composable, pipeable tasks flows with shared runtime context.\n\nIt is built around two components: `Flow` and `Task`.\n\nA `Flow` is the representation of a list/object of one or more `Task` or `Flow` instances that will be executed\nin `series`, `waterfall` or `parallel`.\n\nA `Task` could be a normal function, a task created with `Task.create([id], handler, [...args])` or even another\n`Flow` instance converted to `Task`.\n\nA task can be synchronous or asynchronous using callbacks or promises.\n\n## Install\n\n```bash\n$ npm install flow-wing\n```\n\n## Usage\n\n```typescript\nimport VError from 'verror';\nimport flow from 'flow-wing';\n\n// A simple async task that resolves after a delay\nconst delayed = (number: number) =\u003e (ctx: { delay: number }) =\u003e\n  new Promise(resolve =\u003e setTimeout(() =\u003e resolve(number), number * ctx.delay));\n\nconst context = { delay: 100 };\n\nconst tasks = {\n  one: delayed(1),\n  two: delayed(2),\n  three: delayed(3),\n  four: delayed(4),\n  five: delayed(5)\n};\n\n// Create a flow that runs the tasks in parallel\nconst numbersParallelFlow = flow.parallel(tasks, { name: 'numbers' });\n\nconsole.time('parallel run time');\nnumbersParallelFlow.run(context)\n  .then(data =\u003e {\n    console.timeEnd('parallel run time');\n    console.log(data);\n    // parallel run time: 511.154ms\n    // {\n    //   results: { one: 1, two: 2, three: 3, four: 4, five: 5 },\n    //   errors: [],\n    //   context: { delay: 100 }\n    // }\n  })\n  .catch(error =\u003e {\n    // error is a TaskError, a VError instance\n    console.error(VError.fullStack(error));\n  });\n\n// Create a waterfall flow\nconst multiplyTasks = [\n  numbersParallelFlow.asTask('numbers'),\n  (ctx: unknown, numbers: number[]) =\u003e numbers.concat([6, 7, 8, 9, 10]),\n  (ctx: { delay: number }, numbers: number[]) =\u003e {\n    const tasks = numbers.map(number =\u003e delayed(number * 5));\n    return flow.parallel(tasks)\n      .run(ctx)\n      .then(data =\u003e data.results);\n  }\n];\n\nconst multiplyFlow = flow.waterfall(multiplyTasks, { name: 'multiply' });\n\nconsole.time('multiply run time');\nmultiplyFlow.run(context)\n  .then(data =\u003e {\n    console.timeEnd('multiply run time');\n    console.log(data);\n    // multiply run time: 3022.582ms\n    // {\n    //   results: [ 5, 10, 15, 20, 25, 30, 35, 40, 45, 50 ],\n    //   errors: [],\n    //   context: { delay: 100 }\n    // }\n  })\n  .catch(error =\u003e {\n    console.error(VError.fullStack(error));\n  });\n```\n\n## API\n\nThe API is now self-documented thanks to the TypeScript migration. Please refer to the type definitions in the `src` directory for detailed information about the available methods and options.\n\n### Run modes\n\n\u003e All the modes when running with `options.abortOnError = true` will abort its execution\nwhenever an error occurs in the current task execution and will not run the pending ones.\n\n\u003e All the modes when running with `options.abortOnError = false` will continue its execution\nand will add the occurred errors to the `data.errors` array and the corresponding results array index\nor object key will be `undefined`.\n\n\u003e All the modes when a flow contains a single task it will un-wrap such task result and that\nwill be the resulting value of `data.results` unlike for multiple tasks flows that it will be\nan array or object depending on the provided tasks type.\n\n#### series\n\nIt executes its tasks in series, so the next task will start running only until the previous one has finished.\n\n#### waterfall\n\nIt behaves like `series` with the difference that it passes the previous task result as\nargument to the next one and the final `data.results` will be the last task's returned value.\n\n#### parallel\n\nIt executes its tasks concurrently based on the `options.concurrency` option.\n\n\u003e For complex/large flows it is your responsibility to control how many tasks are being\nrun concurrently so that your application/system don't get blocked/unresponsive.\nIt's best suited for I/O-bound tasks and not for CPU-bound/synchronous ones.\n\n## Development\n\n- **Lint:** `npm run lint`\n- **Build:** `npm run build`\n- **Test:** `npm test`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmilsosa%2Fflow-wing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmilsosa%2Fflow-wing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmilsosa%2Fflow-wing/lists"}