mirror of
https://github.com/ksyasuda/SubMiner.git
synced 2026-03-20 12:11:28 -07:00
174 lines
6.7 KiB
TypeScript
174 lines
6.7 KiB
TypeScript
import { useMemo, useState } from 'react';
|
|
import { PosBadge } from './pos-helpers';
|
|
import { fullReading } from '../../lib/reading-utils';
|
|
import type { VocabularyEntry } from '../../types/stats';
|
|
|
|
interface FrequencyRankTableProps {
|
|
words: VocabularyEntry[];
|
|
knownWords: Set<string>;
|
|
onSelectWord?: (word: VocabularyEntry) => void;
|
|
}
|
|
|
|
const PAGE_SIZE = 25;
|
|
|
|
export function FrequencyRankTable({ words, knownWords, onSelectWord }: FrequencyRankTableProps) {
|
|
const [page, setPage] = useState(0);
|
|
const [hideKnown, setHideKnown] = useState(true);
|
|
const [collapsed, setCollapsed] = useState(false);
|
|
|
|
const hasKnownData = knownWords.size > 0;
|
|
|
|
const isWordKnown = (w: VocabularyEntry): boolean => {
|
|
return knownWords.has(w.headword) || knownWords.has(w.word);
|
|
};
|
|
|
|
const ranked = useMemo(() => {
|
|
let filtered = words.filter((w) => w.frequencyRank != null && w.frequencyRank > 0);
|
|
if (hideKnown && hasKnownData) {
|
|
filtered = filtered.filter((w) => !isWordKnown(w));
|
|
}
|
|
|
|
const byHeadword = new Map<string, VocabularyEntry>();
|
|
for (const w of filtered) {
|
|
const existing = byHeadword.get(w.headword);
|
|
if (!existing) {
|
|
byHeadword.set(w.headword, { ...w });
|
|
} else {
|
|
existing.frequency += w.frequency;
|
|
existing.animeCount = Math.max(existing.animeCount, w.animeCount);
|
|
if (w.frequencyRank! < existing.frequencyRank!) {
|
|
existing.frequencyRank = w.frequencyRank;
|
|
}
|
|
if (!existing.reading && w.reading) {
|
|
existing.reading = w.reading;
|
|
}
|
|
if (!existing.partOfSpeech && w.partOfSpeech) {
|
|
existing.partOfSpeech = w.partOfSpeech;
|
|
}
|
|
}
|
|
}
|
|
|
|
return [...byHeadword.values()].sort((a, b) => a.frequencyRank! - b.frequencyRank!);
|
|
}, [words, knownWords, hideKnown, hasKnownData]);
|
|
|
|
if (words.every((w) => w.frequencyRank == null)) {
|
|
return (
|
|
<div className="bg-ctp-surface0 border border-ctp-surface1 rounded-lg p-4">
|
|
<h3 className="text-sm font-semibold text-ctp-text mb-2">Most Common Words Seen</h3>
|
|
<div className="text-xs text-ctp-overlay2">
|
|
No frequency rank data available. Run the frequency backfill script or install a frequency
|
|
dictionary.
|
|
</div>
|
|
</div>
|
|
);
|
|
}
|
|
|
|
const totalPages = Math.ceil(ranked.length / PAGE_SIZE);
|
|
const paged = ranked.slice(page * PAGE_SIZE, (page + 1) * PAGE_SIZE);
|
|
|
|
return (
|
|
<div className="bg-ctp-surface0 border border-ctp-surface1 rounded-lg p-4">
|
|
<div className="flex items-center justify-between">
|
|
<button
|
|
type="button"
|
|
onClick={() => setCollapsed(!collapsed)}
|
|
className="flex items-center gap-2 text-sm font-semibold text-ctp-text hover:text-ctp-subtext1 transition-colors"
|
|
>
|
|
<span
|
|
className={`text-xs text-ctp-overlay2 transition-transform ${collapsed ? '' : 'rotate-90'}`}
|
|
>
|
|
{'\u25B6'}
|
|
</span>
|
|
{hideKnown && hasKnownData ? 'Common Words Not Yet Mined' : 'Most Common Words Seen'}
|
|
</button>
|
|
<div className="flex items-center gap-3">
|
|
{hasKnownData && (
|
|
<button
|
|
type="button"
|
|
onClick={() => {
|
|
setHideKnown(!hideKnown);
|
|
setPage(0);
|
|
}}
|
|
className={`px-2.5 py-1 rounded-lg text-xs transition-colors border ${
|
|
hideKnown
|
|
? 'bg-ctp-surface2 text-ctp-text border-ctp-blue/50'
|
|
: 'bg-ctp-surface0 text-ctp-overlay2 border-ctp-surface1 hover:text-ctp-subtext0'
|
|
}`}
|
|
>
|
|
Hide Known
|
|
</button>
|
|
)}
|
|
<span className="text-xs text-ctp-overlay2">{ranked.length} words</span>
|
|
</div>
|
|
</div>
|
|
{collapsed ? null : ranked.length === 0 ? (
|
|
<div className="text-xs text-ctp-overlay2 mt-3">
|
|
{hideKnown ? 'All ranked words are already in Anki!' : 'No words with frequency data.'}
|
|
</div>
|
|
) : (
|
|
<>
|
|
<div className="overflow-x-auto mt-3">
|
|
<table className="w-full text-sm">
|
|
<thead>
|
|
<tr className="text-xs text-ctp-overlay2 border-b border-ctp-surface1">
|
|
<th className="text-left py-2 pr-3 font-medium w-16">Rank</th>
|
|
<th className="text-left py-2 pr-3 font-medium">Word</th>
|
|
<th className="text-left py-2 pr-3 font-medium">Reading</th>
|
|
<th className="text-left py-2 pr-3 font-medium w-20">POS</th>
|
|
<th className="text-right py-2 font-medium w-20">Seen</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
{paged.map((w) => (
|
|
<tr
|
|
key={w.wordId}
|
|
onClick={() => onSelectWord?.(w)}
|
|
className="border-b border-ctp-surface1 last:border-0 cursor-pointer hover:bg-ctp-surface1/50 transition-colors"
|
|
>
|
|
<td className="py-1.5 pr-3 font-mono tabular-nums text-ctp-peach text-xs">
|
|
#{w.frequencyRank!.toLocaleString()}
|
|
</td>
|
|
<td className="py-1.5 pr-3 text-ctp-text font-medium">{w.headword}</td>
|
|
<td className="py-1.5 pr-3 text-ctp-subtext0">
|
|
{fullReading(w.headword, w.reading) || w.headword}
|
|
</td>
|
|
<td className="py-1.5 pr-3">
|
|
{w.partOfSpeech && <PosBadge pos={w.partOfSpeech} />}
|
|
</td>
|
|
<td className="py-1.5 text-right font-mono tabular-nums text-ctp-blue text-xs">
|
|
{w.frequency}x
|
|
</td>
|
|
</tr>
|
|
))}
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
{totalPages > 1 && (
|
|
<div className="flex items-center justify-center gap-3 mt-3 text-xs">
|
|
<button
|
|
type="button"
|
|
disabled={page === 0}
|
|
onClick={() => setPage(page - 1)}
|
|
className="px-2 py-1 rounded bg-ctp-surface1 text-ctp-text disabled:opacity-30 hover:bg-ctp-surface2 transition-colors"
|
|
>
|
|
Prev
|
|
</button>
|
|
<span className="text-ctp-overlay2">
|
|
{page + 1} / {totalPages}
|
|
</span>
|
|
<button
|
|
type="button"
|
|
disabled={page >= totalPages - 1}
|
|
onClick={() => setPage(page + 1)}
|
|
className="px-2 py-1 rounded bg-ctp-surface1 text-ctp-text disabled:opacity-30 hover:bg-ctp-surface2 transition-colors"
|
|
>
|
|
Next
|
|
</button>
|
|
</div>
|
|
)}
|
|
</>
|
|
)}
|
|
</div>
|
|
);
|
|
}
|