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\n\n\n### What is @apie and @apie/pipe?\n\nAn eco-system for infrastructure around REST API. It's worth noting that it is designed so that it can be used in all applications besides a REST API.\n\n`@apie/pipe` provides a way to create a pipe-function that has an event input. An event is considered a stateful object, that is passed through all functions, inspired by [SvelteKits `RequestEvent`](https://kit.svelte.dev/docs/types#public-types-requestevent). This provides dependency injection and access to important information for each eventful trigger.\n\nThat means, this is useful for any serverless-functions, such as AWS lambdas etc.\n\n
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\n\n### `createEventPipe` options\n| Option | Description | Type |\n| ---- | ---- | ---- |\n| before? | Functions that will be run before the pipeline | MaybeArray<(event: T) => unknown> |\n| after? | Functions that will be run before the pipeline
(does not run if an exception is thrown) | MaybeArray<(event: T, result: unknown) => unknown> |\n| finally? | Functions that will be run before the pipeline | MaybeArray<(event: T, result?: unknown, error?: unknown) => unknown> |\n| catch? | A function that returns a response in relation to an error being thrown
(default: `throw error`) | catch?(event: T, error: unknown): APIResponse |\n\n
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\n\n\n## Pipes and pipelines\n\nA pipe a function that accepts an array functions. These functions may look like\n\n`(state: T, input: any) => any`\n\nThe state/event defines requirements. An example of such a state/event is SvelteKit's [RequestEvent](https://kit.svelte.dev/docs/types#public-types-requestevent)\nWe define the state upon creating the pipe:\n\n```ts\nimport { createEventPipe } from '@apie/pipe'\n\ntype State = {\n\tvalue: number\n}\n\nconst pipe = createEventPipe()\n```\n\nNow each function inside the pipe will have access to `State`:\n\n```ts\nconst pipeline = pipe(\n\t(state) => {\n\t\tconsole.log(state.value)\n\t\treturn state.value * 2\n\t},\n\t(state, input) => {\n\t\tconsole.log(input)\n\t\treturn input * 2\n\t}\n)\n\nconst result = pipeline({ value: 2 })\n// result: 2 * 2 * 2 = 8\n```\n\n\n
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\n\n\n### A pipeline requiring an input\n\nFor consistency, you can create functions by using your pipe with just one function\n\n```ts\nconst double = pipe((state) => state.value * 2)\ndouble({ value: 2 }) // 4\n```\n\nIf we want to multiple it by an arbitrary number, we can define the input:\n\n```ts\nconst multiply = pipe((state, input: number) => state.value * input)\nmultiply({ value: 5 }, 2) // 10\n```\n\n
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\n\n### Returning Early\n\nOur pipelines are designed around HTTP Responses. That means, if you **EVER** return an HTTP Response using `@apie/responses`, then the pipeline will exit early, resulting in that response.\n\n```ts\nimport { OK } from '@apie/responses'\n\nconst fn = pipe(\n\t() => {\n\t\treturn OK('Hi mom')\n\t},\n\t() => {\n\t\t// This will never run\n\t\twhile(true) {}\n\t}\n)\n\nconst result = fn({ value: 2 }) // OK<'Hi mom'>\n```\n\n
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\n\n### Nesting Pipes\n\nSometimes we might want to re-use variables across multiple operations within our pipe.\n\nIn this example we use `(e,v) => pipe(...)` to access the variable `v`, within our pipe function.\n\n```ts\nconst Input = z.object({...})\nconst $bulkWriter = createBulkWriter(...)\n\nconst pipeline = pipe( \n\tzodValidator(Input), \n\t(e, v) => arrayChanges(\n\t\tv.existingDocuments, \n\t\tv.updatedDocuments, \n\t\tt => t._id?.toString()\n\t),\n\t(e, v) => pipe(\n\t\tv.newEntries,\n\t\t$bulkWriter.insertMultiple,\n\t\t\n\t\tv.removedEntries.map(v => v._id),\n\t\t$bulkWriter.updateMany(\n\t\t\tv => ({ \n\t\t\t\tfilter: { _id: { $in: v } }, \n\t\t\t\tupdate: { _status: 'archived' } \n\t\t\t})\n\t\t),\n\t\t\n\t\tv.persistedEntries,\n\t\t$bulkWriter.updateMultiple(\n\t\t\tv => ({ \n\t\t\t\tfilter: { _id: v._id }, \n\t\t\t\tupdate: { name: v.name } \n\t\t\t})\n\t\t)\n\t),\n\t$bulkWriter.execute()\n)\n\n```\n\n
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\n\n### Re-using a result of a function\n\nOkay, let's say you want to re-use a result, but … we can't really declare variables here, can we?\n\nIntroducing… `saveResult`\n\n```ts\nimport { saveResult } from '@apie/pipe'\n\nconst multiply = pipe((state, input: number) => state.value * input)\n\nconst [$multiply, get$multiply] = saveResult(multiply)\n\nconst pipeline = pipe(\n\t2,\n\t$multiply,\n\t(state, input: number) => {\n\t\t// ...\n\t},\n\t// ... Functions later\n\t(state) => OK(get$multiply(state))\n)\n\nconst result = pipeline({ value: 3 }) // OK -> body: 6\n\n```\n\nThe result is saved within the `state`, so by referencing the state later, we can get access to the value.\n\nIf you use `$multiply` again, then it returns the past result it resolved, rather than re-initializing.","readmeFilename":"README.md"}
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