File size: 6,846 Bytes
41cc6f7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
<!DOCTYPE html>
<html>
<head>
    <title>Nyang V5 Knowledge Universe (LanceDB)</title>
    <script src="https://cdn.plot.ly/plotly-2.24.1.min.js"></script>
    <style>
        body { margin: 0; background: #1a1a1a; color: white; font-family: sans-serif; overflow: hidden; }
        #controls { position: absolute; top: 20px; left: 20px; z-index: 10; background: rgba(0,0,0,0.8); padding: 20px; border-radius: 10px; border: 1px solid #444; max-height: 90vh; overflow-y: auto; }
        input[type="text"] { background: #333; color: white; border: 1px solid #555; padding: 10px; width: 250px; border-radius: 5px; }
        button { background: #ff6b6b; color: white; border: none; padding: 10px 20px; border-radius: 5px; cursor: pointer; margin-left: 5px; }
        button:hover { background: #ff5252; }
        #status { margin-top: 10px; font-size: 0.8em; color: #aaa; margin-bottom: 10px; }
        .filter-group { margin-top: 15px; border-top: 1px solid #555; padding-top: 10px; }
        .filter-item { display: flex; align-items: center; margin-bottom: 5px; font-size: 0.9em; }
        .filter-item input { margin-right: 8px; width: auto; }
        .color-box { width: 12px; height: 12px; display: inline-block; margin-right: 8px; border-radius: 2px; }
    </style>
</head>
<body>
    <div id="controls">
        <h2>๐Ÿฆ Nyang Space V5</h2>
        <div style="display: flex;">
            <input type="text" id="queryInput" placeholder="์งˆ๋ฌธ์„ ์ž…๋ ฅํ•˜๋ฉด ๊ณต๊ฐ„์—์„œ ์ฐพ์•„๋ƒฅ!">
            <button onclick="updateSearch()">๊ฒ€์ƒ‰!</button>
        </div>
        <div id="status">๋ฐ์ดํ„ฐ ๋กœ๋”ฉ ์ค‘...</div>
        <div id="filters" class="filter-group">
            <!-- ํ•„ํ„ฐ ์ฒดํฌ๋ฐ•์Šค๊ฐ€ ์—ฌ๊ธฐ์— ์ƒ๊น๋‹ˆ๋‹ค -->
        </div>
    </div>
    <div id="plot" style="width:100vw; height:100vh;"></div>

    <script>
        let rawData = null; 
        let activeCategories = new Set();
        
        const categoryColors = {
            "๊ฐ•์•„์ง€": "#ff6b6b",
            "๊ณ ์–‘์ด": "#4facfe",
            "๊ด€์ƒ์–ด": "#00f260",
            "์†Œ๋™๋ฌผ": "#fddb92",
            "์กฐ๋ฅ˜": "#e0c3fc",
            "๊ธฐํƒ€": "#888888",
            "Query": "#ffffff"
        };

        function getColor(cat) {
            if (categoryColors[cat]) return categoryColors[cat];
            let hash = 0;
            for (let i = 0; i < cat.length; i++) hash = cat.charCodeAt(i) + ((hash << 5) - hash);
            const c = (hash & 0x00FFFFFF).toString(16).toUpperCase();
            return "#" + "00000".substring(0, 6 - c.length) + c;
        }

        async function loadData(query = "") {
            document.getElementById('status').innerText = "๋ฐ์ดํ„ฐ๋ฅผ ๋ถˆ๋Ÿฌ์˜ค๋Š” ์ค‘์ž…๋‹ˆ๋‹ค๋ƒฅ...";
            try {
                const resp = await fetch(`http://localhost:8002/data?query=${encodeURIComponent(query)}`);
                rawData = await resp.json();
                
                if (activeCategories.size === 0) {
                    initFilters(rawData.points);
                }
                
                renderPlot();
                document.getElementById('status').innerText = `์ด ${rawData.points.length}๊ฐœ์˜ ์ง€์‹์ด ์šฐ์ฃผ์— ๋– ๋‹ค๋‹™๋‹ˆ๋‹ค๋ƒฅ!`;
            } catch (err) {
                document.getElementById('status').innerText = "์„œ๋ฒ„ ์—ฐ๊ฒฐ ์‹คํŒจ! v5_visualizer_lancedb.py๋ฅผ ๋จผ์ € ์‹คํ–‰ํ•ด๋ผ๋ƒฅ!";
                console.error(err);
            }
        }

        function initFilters(points) {
            const categories = [...new Set(points.map(p => p.category || "๊ธฐํƒ€"))].sort();
            const filterDiv = document.getElementById('filters');
            filterDiv.innerHTML = "<strong>์นดํ…Œ๊ณ ๋ฆฌ ํ•„ํ„ฐ</strong><br>";

            categories.forEach(cat => {
                activeCategories.add(cat);
                
                const item = document.createElement('div');
                item.className = 'filter-item';
                const color = getColor(cat);
                
                item.innerHTML = `
                    <input type="checkbox" id="cb_${cat}" checked onchange="toggleCategory('${cat}')">
                    <span class="color-box" style="background:${color}"></span>
                    <label for="cb_${cat}">${cat}</label>
                `;
                filterDiv.appendChild(item);
            });
        }

        function toggleCategory(cat) {
            if (activeCategories.has(cat)) activeCategories.delete(cat);
            else activeCategories.add(cat);
            renderPlot();
        }

        function renderPlot() {
            if (!rawData) return;

            const dbPoints = rawData.points;
            const qPoint = rawData.query_point;
            const traces = [];

            const grouped = {};
            dbPoints.forEach(p => {
                const cat = p.category || "๊ธฐํƒ€";
                if (!activeCategories.has(cat)) return;

                if (!grouped[cat]) grouped[cat] = { x: [], y: [], z: [], text: [] };
                grouped[cat].x.push(p.x);
                grouped[cat].y.push(p.y);
                grouped[cat].z.push(p.z);
                grouped[cat].text.push(`[${cat}] ${p.title}<br>${p.text}`);
            });

            for (const [cat, data] of Object.entries(grouped)) {
                traces.push({
                    x: data.x, y: data.y, z: data.z,
                    text: data.text,
                    mode: 'markers',
                    type: 'scatter3d',
                    name: cat,
                    marker: { size: 3, color: getColor(cat), opacity: 0.7 }
                });
            }

            if (qPoint) {
                traces.push({
                    x: [qPoint.x], y: [qPoint.y], z: [qPoint.z],
                    text: ["๐ŸŽฏ ๋‚ด ์งˆ๋ฌธ: " + qPoint.text],
                    mode: 'markers',
                    type: 'scatter3d',
                    name: 'Current Query',
                    marker: { size: 15, color: '#ff0000', symbol: 'diamond' }
                });
            }

            const layout = {
                margin: { l: 0, r: 0, b: 0, t: 0 },
                paper_bgcolor: '#1a1a1a',
                plot_bgcolor: '#1a1a1a',
                showlegend: false,
                scene: {
                    xaxis: { title: '', showgrid: true, gridcolor: '#333' },
                    yaxis: { title: '', showgrid: true, gridcolor: '#333' },
                    zaxis: { title: '', showgrid: true, gridcolor: '#333' },
                    camera: { eye: { x: 1.5, y: 1.5, z: 1.5 } }
                }
            };

            Plotly.react('plot', traces, layout);
        }

        function updateSearch() {
            const q = document.getElementById('queryInput').value;
            loadData(q);
        }

        loadData();
    </script>
</body>
</html>