node_modules/@huggingface/inference/dist/commonjs/lib/getDefaultTask.js

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.getDefaultTask = getDefaultTask;
const config_js_1 = require("../config.js");
const isUrl_js_1 = require("./isUrl.js");
/**
 * We want to make calls to the huggingface hub the least possible, eg if
 * someone is calling Inference Endpoints 1000 times per second, we don't want
 * to make 1000 calls to the hub to get the task name.
 */
const taskCache = new Map();
const CACHE_DURATION = 10 * 60 * 1000;
const MAX_CACHE_ITEMS = 1000;
/**
 * Get the default task. Use a LRU cache of 1000 items with 10 minutes expiration
 * to avoid making too many calls to the HF hub.
 *
 * @returns The default task for the model, or `null` if it was impossible to get it
 */
async function getDefaultTask(model, accessToken, options) {
    if ((0, isUrl_js_1.isUrl)(model)) {
        return null;
    }
    const key = `${model}:${accessToken}`;
    let cachedTask = taskCache.get(key);
    if (cachedTask && cachedTask.date < new Date(Date.now() - CACHE_DURATION)) {
        taskCache.delete(key);
        cachedTask = undefined;
    }
    if (cachedTask === undefined) {
        const modelTask = await (options?.fetch ?? fetch)(`${config_js_1.HF_HUB_URL}/api/models/${model}?expand[]=pipeline_tag`, {
            headers: accessToken ? { Authorization: `Bearer ${accessToken}` } : {},
        })
            .then((resp) => resp.json())
            .then((json) => json.pipeline_tag)
            .catch(() => null);
        if (!modelTask) {
            return null;
        }
        cachedTask = { task: modelTask, date: new Date() };
        taskCache.set(key, { task: modelTask, date: new Date() });
        if (taskCache.size > MAX_CACHE_ITEMS) {
            // eslint-disable-next-line @typescript-eslint/no-non-null-assertion
            taskCache.delete(taskCache.keys().next().value);
        }
    }
    return cachedTask.task;
}