python_scripts_rcsmit/dashboard_template.py at master · rcsmit/python_scripts_rcsmit · GitHub

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
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
"""
dashboard_template.py
=====================
A zero-extra-packages local web dashboard using only Python stdlib.
Charts are rendered by Plotly.js loaded from CDN.

Pattern:
  - Python side  → query / compute data, serve it as JSON via /api/data
  - Browser side → fetch JSON, build Plotly charts + tables with vanilla JS

Usage:
  python dashboard_template.py          # serves on http://localhost:8080
  python dashboard_template.py 9000     # custom port
"""

import json
import random
import webbrowser
import threading
import time
import sys
from http.server import HTTPServer, BaseHTTPRequestHandler
from datetime import datetime, date, timedelta

# ── Config ────────────────────────────────────────────────────────────────────

PORT = 8080
random.seed(42)

CATEGORIES = ["Alpha", "Beta", "Gamma", "Delta", "Epsilon"]


# ── Data layer ────────────────────────────────────────────────────────────────

def get_data() -> dict:
    """Generate fake data — replace this function with your real data source."""

    today = date.today()

    # Daily totals for the last 90 days
    daily = []
    base_a, base_b = 400, 250
    for i in range(90):
        day = today - timedelta(days=89 - i)
        base_a += random.randint(-30, 35)
        base_b += random.randint(-20, 25)
        daily.append({
            "day":     day.isoformat(),
            "value_a": max(0, base_a + random.randint(-50, 50)),
            "value_b": max(0, base_b + random.randint(-40, 40)),
        })

    # Breakdown by category
    by_category = [
        {
            "category": cat,
            "count":    random.randint(10, 200),
            "total_a":  random.randint(1000, 20000),
        }
        for cat in CATEGORIES
    ]
    by_category.sort(key=lambda r: r["total_a"], reverse=True)

    # Recent rows (last 50)
    recent = []
    for i in range(50):
        day = today - timedelta(days=random.randint(0, 30))
        recent.append({
            "id":       1000 + i,
            "date_col": day.isoformat(),
            "category": random.choice(CATEGORIES),
            "value_a":  random.randint(10, 999),
            "value_b":  random.randint(5, 499),
        })
    recent.sort(key=lambda r: r["date_col"], reverse=True)

    return {
        "generated_at": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
        "daily":        daily,
        "by_category":  by_category,
        "recent":       recent,
    }


# ── HTML / JS template ────────────────────────────────────────────────────────
# Everything between the triple-quotes is served as index.html.
# Edit the JS section to match your data shape from get_data() above.

HTML = r"""<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Dashboard</title>
<!-- Plotly from CDN — no npm, no bundler -->
<script src="https://cdn.plot.ly/plotly-2.32.0.min.js"></script>
<style>
  :root {
    --bg:      #0f1117;
    --card:    #1a1d27;
    --border:  #2a2d3a;
    --text:    #e2e8f0;
    --muted:   #8892a4;
    --accent:  #d97757;
    --blue:    #4f8ef7;
    --green:   #4ade80;
    --red:     #f87171;
    --font:    -apple-system, BlinkMacSystemFont, 'Segoe UI', sans-serif;
  }
  *, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
  body { background: var(--bg); color: var(--text); font-family: var(--font); font-size: 14px; }

  /* ── Header ── */
  header {
    background: var(--card); border-bottom: 1px solid var(--border);
    padding: 14px 28px; display: flex; align-items: center; justify-content: space-between;
  }
  header h1 { font-size: 17px; font-weight: 700; color: var(--accent); letter-spacing: -0.3px; }
  #meta { color: var(--muted); font-size: 12px; }

  /* ── Layout ── */
  main { max-width: 1400px; margin: 0 auto; padding: 24px 28px; }

  /* ── KPI cards ── */
  .kpi-row {
    display: grid;
    grid-template-columns: repeat(auto-fit, minmax(160px, 1fr));
    gap: 14px; margin-bottom: 24px;
  }
  .kpi {
    background: var(--card); border: 1px solid var(--border);
    border-radius: 10px; padding: 16px 18px;
  }
  .kpi .label { font-size: 11px; text-transform: uppercase; letter-spacing: .06em; color: var(--muted); margin-bottom: 6px; }
  .kpi .value { font-size: 26px; font-weight: 700; line-height: 1; }
  .kpi .sub   { font-size: 11px; color: var(--muted); margin-top: 5px; }

  /* ── Chart grid ── */
  .chart-grid {
    display: grid;
    grid-template-columns: 2fr 1fr;
    gap: 16px; margin-bottom: 24px;
  }
  .chart-grid.single { grid-template-columns: 1fr; }
  .card {
    background: var(--card); border: 1px solid var(--border);
    border-radius: 10px; padding: 20px;
  }
  .card h2 {
    font-size: 12px; font-weight: 600; text-transform: uppercase;
    letter-spacing: .07em; color: var(--muted); margin-bottom: 14px;
  }
  .plot-container { width: 100%; height: 280px; }

  /* ── Table ── */
  .table-wrap { overflow-x: auto; }
  table { width: 100%; border-collapse: collapse; font-size: 13px; }
  thead th {
    text-align: left; padding: 8px 12px; font-size: 11px;
    text-transform: uppercase; letter-spacing: .06em;
    color: var(--muted); border-bottom: 1px solid var(--border);
  }
  tbody td { padding: 9px 12px; border-bottom: 1px solid var(--border); }
  tbody tr:last-child td { border-bottom: none; }
  tbody tr:hover td { background: rgba(255,255,255,0.025); }
  .badge {
    display: inline-block; padding: 2px 8px; border-radius: 4px;
    font-size: 11px; font-weight: 600;
    background: rgba(79,142,247,0.15); color: var(--blue);
  }
  .num { font-family: monospace; }
  .muted { color: var(--muted); }
  .green { color: var(--green); }

  /* ── Error ── */
  #error { display: none; padding: 30px; color: var(--red); font-size: 15px; }

  @media (max-width: 768px) {
    .chart-grid { grid-template-columns: 1fr; }
  }
</style>
</head>
<body>

<header>
  <h1>📊 My Dashboard</h1>
  <span id="meta">Loading…</span>
</header>

<main>
  <div id="error"></div>

  <!-- KPI row -->
  <div class="kpi-row" id="kpi-row">
    <div class="kpi"><div class="label">Total rows</div>   <div class="value" id="kpi-rows">—</div></div>
    <div class="kpi"><div class="label">Sum value A</div>  <div class="value" id="kpi-a">—</div></div>
    <div class="kpi"><div class="label">Sum value B</div>  <div class="value" id="kpi-b">—</div></div>
    <div class="kpi"><div class="label">Categories</div>   <div class="value" id="kpi-cats">—</div></div>
  </div>

  <!-- Charts -->
  <div class="chart-grid">
    <div class="card">
      <h2>Daily Values</h2>
      <div id="chart-daily" class="plot-container"></div>
    </div>
    <div class="card">
      <h2>By Category</h2>
      <div id="chart-category" class="plot-container"></div>
    </div>
  </div>

  <!-- Recent rows table -->
  <div class="card">
    <h2>Recent rows</h2>
    <div class="table-wrap">
      <table>
        <thead>
          <tr>
            <th>ID</th><th>Date</th><th>Category</th>
            <th>Value A</th><th>Value B</th>
          </tr>
        </thead>
        <tbody id="table-body"></tbody>
      </table>
    </div>
  </div>
</main>

<script>
// ── Plotly shared theme ────────────────────────────────────────────────────
const THEME = {
  paper_bgcolor: 'rgba(0,0,0,0)',
  plot_bgcolor:  'rgba(0,0,0,0)',
  font:          { color: '#8892a4', size: 11 },
  margin:        { t: 10, r: 10, b: 40, l: 50 },
  xaxis: { gridcolor: '#2a2d3a', linecolor: '#2a2d3a', tickcolor: '#2a2d3a' },
  yaxis: { gridcolor: '#2a2d3a', linecolor: '#2a2d3a', tickcolor: '#2a2d3a' },
  legend: { bgcolor: 'rgba(0,0,0,0)', font: { size: 11 } },
  colorway: ['#4f8ef7','#d97757','#4ade80','#f87171','#a78bfa','#38bdf8'],
};

const PLOTLY_CONFIG = { displayModeBar: false, responsive: true };

// ── Helpers ────────────────────────────────────────────────────────────────
function fmt(n) {
  if (n == null) return '—';
  if (Math.abs(n) >= 1e6) return (n / 1e6).toFixed(2) + 'M';
  if (Math.abs(n) >= 1e3) return (n / 1e3).toFixed(1) + 'K';
  return String(n);
}

// ── Renderers ──────────────────────────────────────────────────────────────

function renderKPIs(daily, byCategory, recent) {
  const totalA = daily.reduce((s, d) => s + (d.value_a || 0), 0);
  const totalB = daily.reduce((s, d) => s + (d.value_b || 0), 0);
  document.getElementById('kpi-rows').textContent  = fmt(recent.length);
  document.getElementById('kpi-a').textContent     = fmt(totalA);
  document.getElementById('kpi-b').textContent     = fmt(totalB);
  document.getElementById('kpi-cats').textContent  = byCategory.length;
}

function renderDailyChart(daily) {
  const layout = {
    ...THEME,
    barmode: 'stack',
    xaxis: { ...THEME.xaxis, type: 'date' },
  };
  const traces = [
    {
      type: 'bar', name: 'Value A',
      x: daily.map(d => d.day), y: daily.map(d => d.value_a),
      marker: { color: '#4f8ef7' },
    },
    {
      type: 'bar', name: 'Value B',
      x: daily.map(d => d.day), y: daily.map(d => d.value_b),
      marker: { color: '#d97757' },
    },
  ];
  Plotly.react('chart-daily', traces, layout, PLOTLY_CONFIG);
}

function renderCategoryChart(byCategory) {
  const layout = {
    ...THEME,
    margin: { t: 10, r: 10, b: 10, l: 10 },
  };
  const trace = [{
    type: 'pie',
    labels: byCategory.map(c => c.category),
    values: byCategory.map(c => c.total_a),
    hole: 0.45,
    textinfo: 'percent',
    textfont: { size: 11 },
    marker: { colors: ['#4f8ef7','#d97757','#4ade80','#f87171','#a78bfa','#38bdf8','#fbbf24','#34d399','#e879f9','#fb923c'] }
  }];
  Plotly.react('chart-category', trace, layout, PLOTLY_CONFIG);
}

function renderTable(recent) {
  document.getElementById('table-body').innerHTML = recent.map(r => `
    <tr>
      <td class="num muted">${r.id}</td>
      <td class="muted">${r.date_col}</td>
      <td><span class="badge">${r.category}</span></td>
      <td class="num">${fmt(r.value_a)}</td>
      <td class="num">${fmt(r.value_b)}</td>
    </tr>
  `).join('');
}

// ── Load data & render ─────────────────────────────────────────────────────
async function loadData() {
  try {
    const resp = await fetch('/api/data');
    const d    = await resp.json();

    if (d.error) {
      document.getElementById('error').style.display = 'block';
      document.getElementById('error').textContent = '⚠ ' + d.error;
      return;
    }

    document.getElementById('meta').textContent =
      'Updated: ' + d.generated_at + ' · auto-refresh 30 s';

    renderKPIs(d.daily, d.by_category, d.recent);
    renderDailyChart(d.daily);
    renderCategoryChart(d.by_category);
    renderTable(d.recent);

  } catch(err) {
    console.error('Fetch failed:', err);
  }
}

loadData();
setInterval(loadData, 30_000);   // auto-refresh every 30 s
</script>
</body>
</html>
"""


# ── HTTP server ────────────────────────────────────────────────────────────────

class Handler(BaseHTTPRequestHandler):
    """Minimal handler: serves index.html and /api/data."""

    def log_message(self, fmt, *args):
        # Suppress per-request noise; remove this line to re-enable
        pass

    def do_GET(self):
        if self.path in ("/", "/index.html"):
            body = HTML.encode("utf-8")
            self.send_response(200)
            self.send_header("Content-Type",   "text/html; charset=utf-8")
            self.send_header("Content-Length", str(len(body)))
            self.end_headers()
            self.wfile.write(body)

        elif self.path == "/api/data":
            data = get_data()
            body = json.dumps(data, default=str).encode("utf-8")
            self.send_response(200)
            self.send_header("Content-Type",   "application/json")
            self.send_header("Content-Length", str(len(body)))
            self.end_headers()
            self.wfile.write(body)

        else:
            self.send_response(404)
            self.end_headers()


def serve(port: int = PORT):
    server = HTTPServer(("localhost", port), Handler)
    url = f"http://localhost:{port}"
    print(f"Dashboard → {url}")
    print("Press Ctrl+C to stop.\n")

    # Open browser after a short delay so the server is ready
    def _open():
        time.sleep(0.8)
        webbrowser.open(url)

    threading.Thread(target=_open, daemon=True).start()

    try:
        server.serve_forever()
    except KeyboardInterrupt:
        print("\nStopped.")


if __name__ == "__main__":
    port = int(sys.argv[1]) if len(sys.argv) > 1 else PORT
    serve(port)