search: add levelshtein distance based search

.config/quickshell/modules/common/ConfigOptions.qml

@@ -60,6 +60,7 @@ Singleton {
         property int nonAppResultDelay: 30 // This prevents lagging when typing
         property string engineBaseUrl: "https://www.google.com/search?q="
         property list<string> excludedSites: [ "quora.com" ]
+        property bool sloppy: false // Uses levenshtein distance based scoring instead of fuzzy sort. Very weird.
         property QtObject prefix: QtObject {
             property string action: "/"
             property string clipboard: ":"

.config/quickshell/modules/common/functions/levendist.js

@@ -0,0 +1,141 @@
+// Original code from https://github.com/koeqaife/hyprland-material-you
+// Original code license: GPLv3
+// Translated to Js from Cython with an LLM and reviewed
+
+function min3(a, b, c) {
+    return a < b && a < c ? a : b < c ? b : c;
+}
+
+function max3(a, b, c) {
+    return a > b && a > c ? a : b > c ? b : c;
+}
+
+function min2(a, b) {
+    return a < b ? a : b;
+}
+
+function max2(a, b) {
+    return a > b ? a : b;
+}
+
+function levenshteinDistance(s1, s2) {
+    let len1 = s1.length;
+    let len2 = s2.length;
+
+    if (len1 === 0) return len2;
+    if (len2 === 0) return len1;
+
+    if (len2 > len1) {
+        [s1, s2] = [s2, s1];
+        [len1, len2] = [len2, len1];
+    }
+
+    let prev = new Array(len2 + 1);
+    let curr = new Array(len2 + 1);
+
+    for (let j = 0; j <= len2; j++) {
+        prev[j] = j;
+    }
+
+    for (let i = 1; i <= len1; i++) {
+        curr[0] = i;
+        for (let j = 1; j <= len2; j++) {
+            let cost = s1[i - 1] === s2[j - 1] ? 0 : 1;
+            curr[j] = min3(prev[j] + 1, curr[j - 1] + 1, prev[j - 1] + cost);
+        }
+        [prev, curr] = [curr, prev];
+    }
+
+    return prev[len2];
+}
+
+function partialRatio(shortS, longS) {
+    let lenS = shortS.length;
+    let lenL = longS.length;
+    let best = 0.0;
+
+    if (lenS === 0) return 1.0;
+
+    for (let i = 0; i <= lenL - lenS; i++) {
+        let sub = longS.slice(i, i + lenS);
+        let dist = levenshteinDistance(shortS, sub);
+        let score = 1.0 - (dist / lenS);
+        if (score > best) best = score;
+    }
+
+    return best;
+}
+
+function computeScore(s1, s2) {
+    if (s1 === s2) return 1.0;
+
+    let dist = levenshteinDistance(s1, s2);
+    let maxLen = max2(s1.length, s2.length);
+    if (maxLen === 0) return 1.0;
+
+    let full = 1.0 - (dist / maxLen);
+    let part = s1.length < s2.length ? partialRatio(s1, s2) : partialRatio(s2, s1);
+
+    let score = 0.85 * full + 0.15 * part;
+
+    if (s1 && s2 && s1[0] !== s2[0]) {
+        score -= 0.05;
+    }
+
+    let lenDiff = Math.abs(s1.length - s2.length);
+    if (lenDiff >= 3) {
+        score -= 0.05 * lenDiff / maxLen;
+    }
+
+    let commonPrefixLen = 0;
+    let minLen = min2(s1.length, s2.length);
+    for (let i = 0; i < minLen; i++) {
+        if (s1[i] === s2[i]) {
+            commonPrefixLen++;
+        } else {
+            break;
+        }
+    }
+    score += 0.02 * commonPrefixLen;
+
+    if (s1.includes(s2) || s2.includes(s1)) {
+        score += 0.06;
+    }
+
+    return Math.max(0.0, Math.min(1.0, score));
+}
+
+function computeTextMatchScore(s1, s2) {
+    if (s1 === s2) return 1.0;
+
+    let dist = levenshteinDistance(s1, s2);
+    let maxLen = max2(s1.length, s2.length);
+    if (maxLen === 0) return 1.0;
+
+    let full = 1.0 - (dist / maxLen);
+    let part = s1.length < s2.length ? partialRatio(s1, s2) : partialRatio(s2, s1);
+
+    let score = 0.4 * full + 0.6 * part;
+
+    let lenDiff = Math.abs(s1.length - s2.length);
+    if (lenDiff >= 10) {
+        score -= 0.02 * lenDiff / maxLen;
+    }
+
+    let commonPrefixLen = 0;
+    let minLen = min2(s1.length, s2.length);
+    for (let i = 0; i < minLen; i++) {
+        if (s1[i] === s2[i]) {
+            commonPrefixLen++;
+        } else {
+            break;
+        }
+    }
+    score += 0.01 * commonPrefixLen;
+
+    if (s1.includes(s2) || s2.includes(s1)) {
+        score += 0.2;
+    }
+
+    return Math.max(0.0, Math.min(1.0, score));
+}

.config/quickshell/modules/overview/SearchItem.qml

@@ -113,7 +113,7 @@ RippleButton {
             StyledText {
                 Layout.fillWidth: true
                 id: nameText
-                textFormat: Text.PlainText // TODO: make cliphist entry highlighting working
+                textFormat: Text.PlainText // TODO: make cliphist entry highlighting work
                 font.pixelSize: Appearance.font.pixelSize.normal
                 font.family: Appearance.font.family[root.fontType]
                 color: Appearance.m3colors.m3onSurface

.config/quickshell/services/AppSearch.qml

@@ -1,6 +1,8 @@
 pragma Singleton
 
+import "root:/modules/common"
 import "root:/modules/common/functions/fuzzysort.js" as Fuzzy
+import "root:/modules/common/functions/levendist.js" as Levendist
 import Quickshell
 import Quickshell.Io
 
@@ -9,6 +11,8 @@ import Quickshell.Io
  */
 Singleton {
     id: root
+    property bool sloppySearch: ConfigOptions?.search.sloppy ?? false
+    property real scoreThreshold: 0.2
 
     readonly property list<DesktopEntry> list: Array.from(DesktopEntries.applications.values)
         .sort((a, b) => a.name.localeCompare(b.name))
@@ -19,6 +23,16 @@ Singleton {
             }))
 
     function fuzzyQuery(search: string): var { // Idk why list<DesktopEntry> doesn't work
+        if (root.sloppySearch) {
+            const results = list.map(obj => ({
+                entry: obj,
+                score: Levendist.computeScore(obj.name.toLowerCase(), search.toLowerCase())
+            })).filter(item => item.score > root.scoreThreshold)
+                .sort((a, b) => b.score - a.score)
+            return results
+                .map(item => item.entry)
+        }
+
         return Fuzzy.go(search, preppedNames, {
             all: true,
             key: "name"

.config/quickshell/services/Cliphist.qml

@@ -2,6 +2,8 @@ pragma Singleton
 pragma ComponentBehavior: Bound
 
 import "root:/modules/common/functions/fuzzysort.js" as Fuzzy
+import "root:/modules/common/functions/levendist.js" as Levendist
+import "root:/modules/common/functions/string_utils.js" as StringUtils
 import "root:/modules/common"
 import "root:/"
 import QtQuick
@@ -10,21 +12,29 @@ import Quickshell.Io
 
 Singleton {
     id: root
+    property bool sloppySearch: ConfigOptions?.search.sloppy ?? false
+    property real scoreThreshold: 0.2
     property list<string> entries: []
-    property string highlightPrefix: `<b><font color="${Appearance.m3colors.m3primary}">`
-    property string highlightSuffix: `</font></b>`
     readonly property var preparedEntries: entries.map(a => ({
         name: Fuzzy.prepare(`${a}`),
         entry: a
     }))
     function fuzzyQuery(search: string): var {
+        if (root.sloppySearch) {
+            const results = entries.slice(0, 100).map(str => ({
+                entry: str,
+                score: Levendist.computeTextMatchScore(str.toLowerCase(), search.toLowerCase())
+            })).filter(item => item.score > root.scoreThreshold)
+                .sort((a, b) => b.score - a.score)
+            return results
+                .map(item => item.entry)
+        }
+
         return Fuzzy.go(search, preparedEntries, {
             all: true,
             key: "name"
         }).map(r => {
             return r.obj.entry
-            // console.log(JSON.stringify(r))
-            // return r.highlight(highlightPrefix, highlightSuffix);
         });
     }