inference-widgets / packages /tasks /scripts /inference-tgi-import.ts
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/*
* Fetches TGI specs and generated JSON schema for input, output and stream_output of
* text-generation and chat-completion tasks.
* See https://huggingface.github.io/text-generation-inference/
*/
import fs from "fs/promises";
import fetch from "node-fetch";
import * as path from "node:path/posix";
import { existsSync as pathExists } from "node:fs";
import type { JsonObject, JsonValue } from "type-fest";
const URL = "https://huggingface.github.io/text-generation-inference/openapi.json";
const rootDirFinder = function (): string {
let currentPath = path.normalize(import.meta.url);
while (currentPath !== "/") {
if (pathExists(path.join(currentPath, "package.json"))) {
return currentPath;
}
currentPath = path.normalize(path.join(currentPath, ".."));
}
return "/";
};
const rootDir = rootDirFinder();
const tasksDir = path.join(rootDir, "src", "tasks");
function toCamelCase(str: string, joiner = "") {
return str
.split(/[-_]/)
.map((part) => part.charAt(0).toUpperCase() + part.slice(1))
.join(joiner);
}
async function _extractAndAdapt(task: string, mainComponentName: string, type: "input" | "output" | "stream_output") {
console.debug(`✨ Importing`, task, type);
console.debug(" πŸ“₯ Fetching TGI specs");
const response = await fetch(URL);
// eslint-disable-next-line @typescript-eslint/no-explicit-any
const openapi = (await response.json()) as any;
// eslint-disable-next-line @typescript-eslint/no-explicit-any
const components: Record<string, any> = openapi["components"]["schemas"];
// e.g. TextGeneration
const camelName = toCamelCase(task);
// e.g. TextGenerationInput
const camelFullName = camelName + toCamelCase(type);
const mainComponent = components[mainComponentName];
const filteredComponents: Record<string, JsonObject> = {};
function _scan(data: JsonValue) {
if (Array.isArray(data) || data instanceof Array) {
for (const item of data) {
_scan(item);
}
} else if (data && typeof data === "object") {
for (const key of Object.keys(data)) {
if (key === "$ref" && typeof data[key] === "string") {
// Verify reference exists
const ref = (data[key] as string).split("/").pop() ?? "";
if (!components[ref]) {
throw new Error(`Reference not found in components: ${data[key]}`);
}
// Add reference to components to export (and scan it too)
const newRef = camelFullName + ref.replace(camelName, "");
if (!filteredComponents[newRef]) {
components[ref]["title"] = newRef; // Rename title to avoid conflicts
filteredComponents[newRef] = components[ref];
_scan(components[ref]);
}
// Updating the reference to new format
data[key] = `#/$defs/${newRef}`;
} else {
_scan(data[key]);
}
}
}
}
console.debug(" πŸ“¦ Packaging jsonschema");
_scan(mainComponent);
const prettyName = toCamelCase(task, " ") + " " + toCamelCase(type, " ");
const inputSchema = {
$id: `/inference/schemas/${task}/${type}.json`,
$schema: "http://json-schema.org/draft-06/schema#",
description:
prettyName +
".\n\nAuto-generated from TGI specs." +
"\nFor more details, check out https://github.com/huggingface/huggingface.js/blob/main/packages/tasks/scripts/inference-tgi-import.ts.",
title: camelFullName,
type: "object",
required: mainComponent["required"],
properties: mainComponent["properties"],
$defs: filteredComponents,
};
const specPath = path.join(tasksDir, task, "spec", `${type}.json`);
console.debug(" πŸ“‚ Exporting", specPath);
await fs.writeFile(specPath, JSON.stringify(inputSchema, null, 4));
}
await _extractAndAdapt("text-generation", "CompatGenerateRequest", "input");
await _extractAndAdapt("text-generation", "GenerateResponse", "output");
await _extractAndAdapt("text-generation", "StreamResponse", "stream_output");
await _extractAndAdapt("chat-completion", "ChatRequest", "input");
await _extractAndAdapt("chat-completion", "ChatCompletion", "output");
await _extractAndAdapt("chat-completion", "ChatCompletionChunk", "stream_output");
console.debug("βœ… All done!");