@nikolarhristov/pipeline
v0.1.7
Published
🧪 Pipeline for files.
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@nikolarhristov/pipeline 🧪
Installation
First, install the @nikolarhristov/pipeline
component like so:
npm install -D -E @nikolarhristov/pipeline
Then, create a new pipeline from this component:
index.ts
import { pipeline } from "@nikolarhristov/pipeline";
new pipeline({
path: "./input/",
});
Getting started
The pipeline will now provide you with a process method which you can use to call the callback on each file from the pipeline.
index.ts
import { pipeline } from "@nikolarhristov/pipeline";
await new pipeline({
path: "./input/",
files: "**/*.md",
pipeline: {
// Prepend some content to all of the text files
wrote: (current) => (current.buffer += "LICENSE [MIT]"),
},
}).process();
These are the defaults for each callback.
import { pipeline } from "@nikolarhristov/pipeline";
import * as fs from "fs";
await new pipeline({
pipeline: {
wrote: async (current) => current.buffer,
read: async (current) =>
await fs.promises.readFile(current.inputPath, "utf-8"),
passed: async () => true,
failed: async (inputPath) => `Error: Cannot process file ${inputPath}!`,
accomplished: async (current) =>
`Processed ${current.inputPath} in ${current.outputPath}.`,
fulfilled: async (pipe) =>
`Successfully processed a total of ${pipe.files} ${
pipe.files === 1 ? "file" : "files"
}.`,
changed: async (pipe) => pipe,
},
});
or you can query the files object directly:
import { files } from "@nikolarhristov/pipeline";
import * as fs from "fs";
await (
await (await new files().in("./input/")).by("**/*.md")
).pipeline({
wrote: async (current) => current.buffer,
read: async (current) =>
await fs.promises.readFile(current.inputPath, "utf-8"),
passed: async () => true,
failed: async (current) =>
`Error: Cannot process file ${current.inputPath}!`,
accomplished: async (current) =>
`Processed ${current.inputPath} in ${current.outputPath}.`,
fulfilled: async (pipe) =>
`Successfully processed a total of ${pipe.files} ${
pipe.files === 1 ? "file" : "files"
}.`,
changed: async (pipe) => pipe,
});
The pipeline has built in methods which you can use to compress your CSS, HTML and JavaScript or inline the critical CSS in the HTML files in that directory.
index.ts
import { pipeline } from "@nikolarhristov/pipeline";
await (
await new pipeline({
path: "./input/",
}).compress()
).critters();
The following image file types will also be compressed:
- avci
- avcs
- avif
- avifs
- gif
- heic
- heics
- heif
- heifs
- jfif
- jif
- jpe
- jpeg
- jpg
- png
- raw
- tiff
- webp
SVG compression is supported, as well via svgo.
You can override any of the default options from the configurations of:
or disable them entirely:
index.ts
import { pipeline } from "@nikolarhristov/pipeline";
new pipeline({
path: "./input/",
critters: false,
css: false,
html: false,
img: false,
js: false,
svg: false,
});
You can add multiple paths to compress
or critters
by specifying an array as
the path
variable.
index.ts
import { pipeline } from "@nikolarhristov/pipeline";
new pipeline({
path: ["./input/", "./input2/"],
});
You can also provide a map of paths for different input output directories.
index.ts
import { pipeline } from "@nikolarhristov/pipeline";
new pipeline({
path: new Map([["./input", "./output"]]),
});
Or an array of the two.
index.ts
import { pipeline } from "@nikolarhristov/pipeline";
new pipeline({
path: ["./input", new Map([["./input", "./output"]])],
});
You can provide a filter to exclude files from your pipeline. A filter can be an array of regexes or a single match. You can use functions, as well to match on file names.
index.ts
import { pipeline } from "@nikolarhristov/pipeline";
new pipeline({
exclude: [
"my-awesome.file",
(file: string) =>
file === "./input/this-file-will-not-be-processed.txt",
],
});
Set logger
to 0
if you do not want to see debug messages. Default is 2
.
index.ts
import { pipeline } from "@nikolarhristov/pipeline";
new pipeline({
logger: 0,
});
Changelog
See CHANGELOG.md for a history of changes to this component.