Faster codemirror search match counting (#612)

Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
Gregory Schier
2026-08-31 10:09:50 -07:00
committed by GitHub
co-authored by Claude Opus 5
parent 50cccf1d25
commit 661a384bed
2 changed files with 440 additions and 29 deletions
@@ -0,0 +1,202 @@
import { SearchQuery } from "@codemirror/search";
import { EditorState } from "@codemirror/state";
import { describe, expect, test } from "vite-plus/test";
import {
currentMatch,
literalSearch,
MAX_COUNT,
MatchCounter,
normalizeDoc,
normalizeSearch,
scanNormalized,
scanQuery,
} from "./searchMatchCount";
type QueryConfig = ConstructorParameters<typeof SearchQuery>[0];
const stateOf = (doc: string) => EditorState.create({ doc });
/**
* The matches the counter finds, having checked them against the search panel's own cursor.
*
* The cursor decides which ranges the editor highlights and which one `find next` lands on, so
* a count that doesn't agree with it is a wrong count, however fast it was to produce.
*/
function matchesOf(doc: string, config: QueryConfig) {
const state = stateOf(doc);
const query = new SearchQuery(config);
const matches = new MatchCounter().matches(state, query);
expect(matches).toEqual(scanQuery(state, query));
return matches;
}
const countOf = (doc: string, config: QueryConfig) => matchesOf(doc, config).length;
describe("counting", () => {
test("counts every match, whatever the case", () => {
expect(countOf("one Two three two", { search: "two" })).toBe(2);
expect(countOf("one Two three two", { search: "two", caseSensitive: true })).toBe(1);
});
test("skips matches overlapping an earlier one", () => {
expect(countOf("aaaaa", { search: "aa" })).toBe(2);
expect(countOf("ababa", { search: "aba" })).toBe(1);
});
test("treats a query as text, not as a pattern", () => {
expect(countOf("a.b axb", { search: "a.b" })).toBe(1);
});
test("unquotes escapes unless the query is literal", () => {
expect(countOf("one\ntwo\nthree", { search: "\\n" })).toBe(2);
expect(countOf("one\\ntwo", { search: "\\n", literal: true })).toBe(1);
});
test("counts regexp and whole word queries through the cursor", () => {
expect(literalSearch(new SearchQuery({ search: "a", regexp: true }))).toBe(null);
expect(literalSearch(new SearchQuery({ search: "a", wholeWord: true }))).toBe(null);
expect(countOf("a1 b2 c3", { search: "[a-z]\\d", regexp: true })).toBe(3);
expect(countOf("cat cats cat", { search: "cat", wholeWord: true })).toBe(2);
});
test("stops counting at the cap", () => {
expect(countOf("x".repeat(MAX_COUNT + 100), { search: "x" })).toBe(MAX_COUNT + 1);
});
test("reports where the matches are", () => {
expect(matchesOf("ab..ab", { search: "ab" })).toEqual([
{ from: 0, to: 2 },
{ from: 4, to: 6 },
]);
});
test("finds nothing to match with an empty needle", () => {
expect(scanNormalized(normalizeDoc("abc", false), "")).toEqual([]);
});
});
describe("normalization", () => {
test("finds what a character decomposes into", () => {
// The é is one character holding an `e`, and the match covers the whole of it
expect(matchesOf("café", { search: "e" })).toEqual([{ from: 3, to: 4 }]);
expect(matchesOf("file", { search: "fi" })).toEqual([{ from: 0, to: 1 }]);
expect(matchesOf("a…b", { search: "..." })).toEqual([{ from: 1, to: 2 }]);
expect(countOf("one two", { search: "one two" })).toBe(1);
expect(countOf("full width", { search: "full" })).toBe(1);
});
test("matches a decomposed query against composed text, and the reverse", () => {
expect(countOf("café", { search: "café" })).toBe(1);
expect(countOf("café", { search: "café" })).toBe(1);
expect(countOf("café", { search: "café" })).toBe(1);
});
test("keeps offsets straight after an expansion", () => {
expect(matchesOf("é.é.end", { search: "end" })).toEqual([{ from: 4, to: 7 }]);
expect(matchesOf("fififi stop", { search: "stop" })).toEqual([{ from: 4, to: 8 }]);
});
test("normalizes the query whole, the document by character", () => {
expect(normalizeSearch("CAFÉ", false)).toBe("café");
expect(normalizeSearch("CAFÉ", true)).toBe("CAFÉ");
// Whole-string NFKD would fold this to a final sigma, which the cursor never does
expect(normalizeDoc("ΟΔΟΣ", false).text).toBe("οδοσ");
});
test("leaves a document that normalizes to itself untouched", () => {
const { text, expansions } = normalizeDoc("plain 日本 🎉 text", false);
expect(text).toBe("plain 日本 🎉 text");
expect(expansions).toEqual([]);
});
});
describe("current match", () => {
const matches = [
{ from: 0, to: 2 },
{ from: 4, to: 6 },
{ from: 8, to: 10 },
];
test("counts from one, and reports 0 off a match", () => {
expect(currentMatch(matches, { from: 4, to: 6 })).toBe(2);
expect(currentMatch(matches, { from: 8, to: 10 })).toBe(3);
expect(currentMatch(matches, { from: 5, to: 5 })).toBe(2);
expect(currentMatch(matches, { from: 2, to: 3 })).toBe(0);
expect(currentMatch(matches, { from: 4, to: 7 })).toBe(0);
expect(currentMatch([], { from: 0, to: 0 })).toBe(0);
});
test("moving the selection doesn't scan again", () => {
const state = stateOf("a1 b2 c3");
const query = new SearchQuery({ search: "\\d", regexp: true });
const counter = new MatchCounter();
const found = counter.matches(state, query);
// The document a selection-only transaction leaves behind is the one already scanned
const moved = state.update({ selection: { anchor: 4, head: 5 } }).state;
expect(counter.matches(moved, query)).toBe(found);
expect(currentMatch(found, moved.selection.main)).toBe(2);
});
});
/**
* The mapping from normalized offsets back to document offsets is the part of this that can go
* quietly wrong, and only on input nobody thinks to write a case for. So generate the input.
*/
describe("against the cursor, on awkward text", () => {
const ALPHABET = [
..."abcABC .\\\n".split(""),
"é",
"é",
"fi",
"…",
" ",
"İ",
"Σ",
"ς",
"日",
"🎉",
"Ⅻ",
"",
"①",
"́",
];
/** Seeded, so a failure is the same failure next run */
function random(seed: number) {
let state = seed;
return () => {
state = (state * 1664525 + 1013904223) >>> 0;
return state / 2 ** 32;
};
}
for (const caseSensitive of [false, true]) {
test(`agrees on every generated document (caseSensitive: ${caseSensitive})`, () => {
const next = random(caseSensitive ? 20260831 : 7);
for (let round = 0; round < 400; round++) {
const doc = Array.from(
{ length: 2 + Math.floor(next() * 60) },
() => ALPHABET[Math.floor(next() * ALPHABET.length)]!,
).join("");
// Half the queries are lifted out of the document, so matches are actually found
const start = Math.floor(next() * doc.length);
const search =
next() < 0.5
? doc.slice(start, start + 1 + Math.floor(next() * 3))
: Array.from(
{ length: 1 + Math.floor(next() * 2) },
() => ALPHABET[Math.floor(next() * ALPHABET.length)]!,
).join("");
if (search === "") continue;
const state = stateOf(doc);
const query = new SearchQuery({ search, caseSensitive });
const where = `doc=${JSON.stringify(doc)} search=${JSON.stringify(search)}`;
expect(new MatchCounter().matches(state, query), where).toEqual(scanQuery(state, query));
}
});
}
});
@@ -1,7 +1,232 @@
import { getSearchQuery, searchPanelOpen } from "@codemirror/search";
import type { Extension } from "@codemirror/state";
import { getSearchQuery, type SearchQuery, searchPanelOpen } from "@codemirror/search";
import type { EditorState, Extension, Text } from "@codemirror/state";
import { type EditorView, ViewPlugin, type ViewUpdate } from "@codemirror/view";
/** Matches are counted no further than this, since an exact total stops being useful long before */
export const MAX_COUNT = 9999;
/** What normalizing rewrites: anything outside ASCII, plus the case it folds */
const REWRITTEN = /\P{ASCII}|[A-Z]+/gu;
const REWRITTEN_CASE_SENSITIVE = /\P{ASCII}/gu;
export interface Match {
from: number;
to: number;
}
/** A character whose normalized form is a different length, shifting every offset past it */
interface Expansion {
normFrom: number;
normTo: number;
docFrom: number;
docTo: number;
}
/** A document as SearchCursor compares it, with what's needed to get back to real offsets */
export interface NormalizedDoc {
text: string;
expansions: Expansion[];
}
/**
* Rewrites a document the way SearchCursor does — NFKD, then a case fold unless the search is
* case-sensitive — in a single pass rather than one call per code point.
*
* The cursor spends 90% of its time asking ICU about one character at a time, which is what
* makes counting matches in a large response slow. Doing it a character at a time still matters
* for the result, since it keeps NFKD from reordering marks across characters, so the
* granularity stays and only the repeated work goes: each distinct character is normalized once
* and the answer reused, and ASCII runs never reach ICU at all.
*/
export function normalizeDoc(text: string, caseSensitive: boolean): NormalizedDoc {
const rewritten = new Map<string, string>();
const expansions: Expansion[] = [];
let shift = 0;
const normalized = text.replace(
caseSensitive ? REWRITTEN_CASE_SENSITIVE : REWRITTEN,
(chunk: string, at: number) => {
// An ASCII run only ever folds case, which can't change its length
if (chunk.charCodeAt(0) < 0x80) return chunk.toLowerCase();
let out = rewritten.get(chunk);
if (out === undefined) {
out = chunk.normalize("NFKD");
if (!caseSensitive) out = out.toLowerCase();
rewritten.set(chunk, out);
}
if (out.length !== chunk.length) {
expansions.push({
normFrom: at + shift,
normTo: at + shift + out.length,
docFrom: at,
docTo: at + chunk.length,
});
shift += out.length - chunk.length;
}
return out;
},
);
return { text: normalized, expansions };
}
/** The query as SearchCursor compares it, which it normalizes whole rather than by character */
export function normalizeSearch(search: string, caseSensitive: boolean): string {
const normalized = search.normalize("NFKD");
return caseSensitive ? normalized : normalized.toLowerCase();
}
/** Every occurrence of `needle`, skipping matches that overlap an earlier one */
export function scanNormalized(doc: NormalizedDoc, needle: string): Match[] {
const matches: Match[] = [];
if (needle === "") return matches;
const { text } = doc;
let pos = text.indexOf(needle);
while (pos >= 0) {
let end = pos + needle.length;
// However the query was cut, a match ends on a whole code point, as the cursor's do
if (isLowSurrogate(text.charCodeAt(end))) end++;
matches.push({ from: docStart(doc, pos), to: docEnd(doc, end) });
if (matches.length > MAX_COUNT) break;
pos = text.indexOf(needle, resumeAfter(doc, end));
}
return matches;
}
/** The same through the query's own cursor, which handles regexps and whole words */
export function scanQuery(state: EditorState, query: SearchQuery): Match[] {
const matches: Match[] = [];
const cursor = query.getCursor(state);
for (let result = cursor.next(); !result.done; result = cursor.next()) {
matches.push({ from: result.value.from, to: result.value.to });
if (matches.length > MAX_COUNT) break;
}
return matches;
}
const isLowSurrogate = (code: number) => code >= 0xdc00 && code <= 0xdfff;
/** The last character expansion beginning at or before `offset`, if there is one */
function expansionAt({ expansions }: NormalizedDoc, offset: number): Expansion | null {
let low = 0;
let high = expansions.length - 1;
let found: Expansion | null = null;
while (low <= high) {
const mid = (low + high) >> 1;
if (expansions[mid]!.normFrom <= offset) {
found = expansions[mid]!;
low = mid + 1;
} else {
high = mid - 1;
}
}
return found;
}
function docStart(doc: NormalizedDoc, offset: number): number {
const expansion = expansionAt(doc, offset);
if (expansion == null) return offset;
// A match starting inside a character's expansion starts at the character
return offset < expansion.normTo
? expansion.docFrom
: offset - (expansion.normTo - expansion.docTo);
}
/**
* Where scanning picks up after a match ending at `offset`.
*
* The cursor moves through the document a character at a time, so once a match ends inside a
* character's expansion the rest of that expansion is behind it — "…" holds three dots but only
* ever counts as one match of ".".
*/
function resumeAfter(doc: NormalizedDoc, offset: number): number {
const expansion = expansionAt(doc, offset);
return expansion != null && offset > expansion.normFrom && offset < expansion.normTo
? expansion.normTo
: offset;
}
function docEnd(doc: NormalizedDoc, offset: number): number {
const expansion = expansionAt(doc, offset);
if (expansion == null) return offset;
if (offset <= expansion.normFrom) return expansion.docFrom;
// A match ending inside a character's expansion covers the whole character
return offset < expansion.normTo
? expansion.docTo
: offset - (expansion.normTo - expansion.docTo);
}
/** Position of the match holding the selection, counting from one, or 0 when it isn't on one */
export function currentMatch(matches: Match[], selection: { from: number; to: number }): number {
let index = 0;
for (const match of matches) {
index++;
if (match.from <= selection.from && match.to >= selection.to) return index;
}
return 0;
}
/** The text a plain query looks for, or null when only the cursor can answer it */
export function literalSearch(query: SearchQuery): string | null {
if (query.regexp || query.wholeWord || query.test != null) return null;
// Mirrors SearchQuery's own unquoting, which the published type doesn't expose
return query.literal
? query.search
: query.search.replace(/\\([nrt\\])/g, (_, ch) =>
ch === "n" ? "\n" : ch === "r" ? "\r" : ch === "t" ? "\t" : "\\",
);
}
/**
* Finds the matches for the search panel, keeping the normalized document and the matches it
* last found, so neither moving the selection nor typing another character starts over.
*/
export class MatchCounter {
private doc: { doc: Text; caseSensitive: boolean; normalized: NormalizedDoc } | null = null;
private last: { doc: Text; query: SearchQuery; matches: Match[] } | null = null;
matches(state: EditorState, query: SearchQuery): Match[] {
const last = this.last;
if (last != null && last.doc === state.doc && last.query.eq(query)) {
return last.matches;
}
const matches = this.scan(state, query);
this.last = { doc: state.doc, query, matches };
return matches;
}
private scan(state: EditorState, query: SearchQuery): Match[] {
const search = literalSearch(query);
if (search == null) return scanQuery(state, query);
const doc = this.normalizedDoc(state.doc, query.caseSensitive);
return scanNormalized(doc, normalizeSearch(search, query.caseSensitive));
}
private normalizedDoc(doc: Text, caseSensitive: boolean): NormalizedDoc {
const cached = this.doc;
if (cached != null && cached.doc === doc && cached.caseSensitive === caseSensitive) {
return cached.normalized;
}
const normalized = normalizeDoc(doc.toString(), caseSensitive);
this.doc = { doc, caseSensitive, normalized };
return normalized;
}
}
/**
* A CodeMirror extension that displays the total number of search matches
* inside the built-in search panel.
@@ -10,6 +235,7 @@ export function searchMatchCount(): Extension {
return ViewPlugin.fromClass(
class {
private countEl: HTMLElement | null = null;
private counter = new MatchCounter();
constructor(private view: EditorView) {
this.updateCount();
@@ -38,38 +264,21 @@ export function searchMatchCount(): Extension {
}
this.ensureCountEl();
if (this.countEl == null) return;
if (!query.search) {
if (this.countEl) {
this.countEl.textContent = "0/0";
}
this.countEl.textContent = "0/0";
return;
}
const selection = state.selection.main;
let count = 0;
let currentIndex = 0;
const MAX_COUNT = 9999;
const cursor = query.getCursor(state);
for (let result = cursor.next(); !result.done; result = cursor.next()) {
count++;
const match = result.value;
if (match.from <= selection.from && match.to >= selection.to) {
currentIndex = count;
}
if (count > MAX_COUNT) break;
}
if (this.countEl) {
if (count > MAX_COUNT) {
this.countEl.textContent = `${MAX_COUNT}+`;
} else if (count === 0) {
this.countEl.textContent = "0/0";
} else if (currentIndex > 0) {
this.countEl.textContent = `${currentIndex}/${count}`;
} else {
this.countEl.textContent = `0/${count}`;
}
const matches = this.counter.matches(state, query);
if (matches.length > MAX_COUNT) {
this.countEl.textContent = `${MAX_COUNT}+`;
} else if (matches.length === 0) {
this.countEl.textContent = "0/0";
} else {
const current = currentMatch(matches, state.selection.main);
this.countEl.textContent = `${current}/${matches.length}`;
}
}