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// src/hooks/useHFValidators.ts
import { useMemo, useRef, useState } from 'react';
import { fetchHFModel, fetchHFDataset } from '../services/hf';
const debounce = (fn: (...args: any[]) => void, ms = 350) => {
let t: any;
return (...args: any[]) => {
clearTimeout(t);
t = setTimeout(() => fn(...args), ms);
};
};
export function useHFModelValidator() {
const cache = useRef<Map<string, any>>(new Map());
const [loading, setLoading] = useState(false);
const [result, setResult] = useState<any>(null);
const validate = useMemo(
() =>
debounce(async (modelId: string, expected: 'language' | 'scorer') => {
if (!modelId?.includes('/')) {
setResult(null);
return;
}
if (cache.current.has(modelId)) {
setResult(cache.current.get(modelId));
return;
}
setLoading(true);
try {
const info = await fetchHFModel(modelId);
const id: string = info.id?.toLowerCase() ?? '';
const tags: string[] = info.tags ?? [];
let actual: string | undefined = info.pipeline_tag;
if (!actual) {
if (id.includes('t5') || tags.includes('text2text-generation')) actual = 'text2text-generation';
else if (tags.includes('text-generation')) actual = 'text-generation';
else if (tags.includes('text-classification')) actual = 'text-classification';
}
const ok =
expected === 'language'
? ['text-generation', 'text2text-generation'].includes(actual || '')
: actual === 'text-classification';
const payload = ok
? {
isValid: true,
modelInfo: {
id: info.id,
downloads: info.downloads ?? 0,
pipeline_tag: actual,
tags,
author: info.id?.split('/')?.[0] ?? 'unknown',
modelName: info.id?.split('/')?.[1] ?? info.id,
},
}
: {
isValid: false,
error:
expected === 'language'
? `Model task should be text-generation or text2text-generation, but is ${actual || 'Unknown'}」`
: `Model task should be text-classification, but is${actual || 'Unknown'}」`,
};
cache.current.set(modelId, payload);
setResult(payload);
} catch (e: any) {
setResult({ isValid: false, error: e?.message || 'Error when valiating model' });
} finally {
setLoading(false);
}
}),
[]
);
return { loading, result, validate };
}
export function useHFDatasetValidator() {
const cache = useRef<Map<string, any>>(new Map());
const [loading, setLoading] = useState(false);
const [result, setResult] = useState<any>(null);
const validate = useMemo(
() =>
debounce(async (datasetId: string) => {
if (!datasetId?.includes('/')) {
setResult(null);
return;
}
if (cache.current.has(datasetId)) {
setResult(cache.current.get(datasetId));
return;
}
const valid = /^[a-zA-Z0-9._-]+\/[a-zA-Z0-9._-]+$/.test(datasetId);
if (!valid) {
setResult({ isValid: false, error: 'Incorrect Dataset ID Format' });
return;
}
setLoading(true);
try {
const info = await fetchHFDataset(datasetId);
const payload = {
isValid: true,
datasetInfo: {
id: info.id,
author: info.id?.split('/')?.[0] ?? 'unknown',
datasetName: info.id?.split('/')?.[1] ?? info.id,
downloads: info.downloads ?? 0,
tags: info.tags ?? [],
description: info.description ?? 'No Description',
task_categories: info.task_categories ?? [],
},
};
cache.current.set(datasetId, payload);
setResult(payload);
} catch (e: any) {
setResult({ isValid: false, error: e?.message || 'An error occurred while validating the dataset' });
} finally {
setLoading(false);
}
}),
[]
);
return { loading, result, validate };
}
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