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Supabase Dashboard Builder

核心功能:通过FastAPI代理Supabase接口,提供深色主题共享壳,支持D3力导向图、Chart.js可视化,可构建数据表格、统计图表、系统概览页面。典型场景:数据探索UI、管理面板、任务控制仪表盘。无需构建步骤,用纯HTML/JS/CSS开发,Supabase密钥存服务端,可部署在Python平台上线。

brandonwadepackard-cell
brandonwadepackard-cell
热度 28.37
最近更新 2026-05-18 12:07:33
分类:开发依赖:代码执行 / 读写文件 / 第三方 API应用场景:代码生成 / API 集成 / DevOps / 数据处理 ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add supabase-dashboard-builder
Metadata
name
supabase-dashboard-builder
description
Build admin dashboards and command centers backed by Supabase REST API with D3.js force graphs, Chart.js visualizations, and vanilla JS. Use when creating data exploration UIs, admin panels, mission control dashboards, or any visualization that reads from Supabase tables. No React/Vue required — pure HTML + JS + CSS with a shared dark-theme shell.

Supabase Dashboard Builder

Build rich admin dashboards using Supabase PostgREST API + vanilla JS + D3/Chart.js. No build step, no framework — just HTML files served by FastAPI StaticFiles.

Architecture

FastAPI Server
├── api.py (thin proxy to Supabase REST)
├── static/
│   ├── shell.js + shell.css (shared theme)
│   ├── dashboard/
│   │   ├── index.html (main page)
│   │   ├── agents.html
│   │   ├── skills.html
│   │   └── ...

Step 1: API Layer

Create a thin FastAPI proxy that wraps Supabase REST calls. This keeps the Supabase key server-side.

import httpx
from fastapi import FastAPI

SUPABASE_URL = os.environ["SUPABASE_URL"]
SUPABASE_KEY = os.environ["SUPABASE_SERVICE_KEY"]
HEADERS = {"apikey": SUPABASE_KEY, "Authorization": f"Bearer {SUPABASE_KEY}"}

app = FastAPI()

@app.get("/api/mc/{table}")
async def get_table(table: str, select: str = "*", limit: int = 100, offset: int = 0):
    allowed = {"ai_agents", "skills", "knowledge_vault", "tools", "workflows"}
    if table not in allowed:
        raise HTTPException(403, "Table not allowed")
    url = f"{SUPABASE_URL}/rest/v1/{table}?select={select}&limit={limit}&offset={offset}"
    async with httpx.AsyncClient() as client:
        r = await client.get(url, headers={**HEADERS, "Prefer": "count=exact"})
    return r.json()

Key pattern: Lightweight selects

Tables with large text columns (system_prompt, embeddings) will timeout if you SELECT *. Always specify columns:

?select=id,name,type,status,created_at

Add select parameter to every API endpoint and default to lightweight fields.

Step 2: Shared Shell

Create shell.js and shell.css that every page imports:

// shell.js
function createShell(pageTitle, navItems) {
    // Returns: sidebar (collapsible) + top bar + main content area
    // navItems: [{label, href, icon, active}]
}

function createCard(title, content, footer) {
    // Dark-themed card with header, body, optional footer
}

function createTable(headers, rows, options) {
    // Sortable, searchable table with pagination
}

function mcFetch(endpoint, params = {}) {
    // Wrapper: fetch(`/api/mc/${endpoint}?${new URLSearchParams(params)}`)
    // Handles errors, loading states
}

function createSearchBar(placeholder, onSearch) {
    // Debounced search input
}

CSS variables for consistent theming:

:root {
    --bg-primary: #0a0a0f;
    --bg-card: #12121a;
    --bg-hover: #1a1a2e;
    --text-primary: #e0e0e0;
    --text-secondary: #888;
    --accent: #6c63ff;
    --accent-glow: rgba(108, 99, 255, 0.3);
    --border: #2a2a3e;
    --success: #4caf50;
    --warning: #ff9800;
    --danger: #f44336;
}

Step 3: Page Patterns

Data Grid Page (Agents, Skills, Tools)

┌─────────────────────────────┐
│ Search bar + Filter chips    │
├─────────────────────────────┤
│ Stats row (total, active,    │
│ by type)                     │
├─────────────────────────────┤
│ Sortable table or card grid  │
│ with pagination              │
└─────────────────────────────┘

Force Graph Page (System Overview)

Use D3.js force-directed graph:

  • Nodes = entities (agents, tools, skills)
  • Edges = relationships (agent uses tool, skill teaches concept)
  • Color by category, size by importance
  • Click node → side panel with details
  • Zoom + pan + drag

Chart Page (Analytics, Metrics)

Use Chart.js:

  • Radar charts for multi-dimensional scores
  • Line charts for time series
  • Bar charts for comparisons
  • Doughnut for category breakdown

Step 4: FastAPI Static Mount

from fastapi.staticfiles import StaticFiles

# Mount AFTER API routes
app.mount("/static/mc", StaticFiles(directory="static/mc"), name="mc-static")

# Convenience page routes
@app.get("/mc/{page}")
async def serve_mc_page(page: str):
    return FileResponse(f"static/mc/{page}")

@app.get("/mc/")
async def serve_mc_index():
    return FileResponse("static/mc/index.html")

Common Bugs & Fixes

  1. Double-prefix in mcFetch: Agents write mcFetch('/api/mc/agents') when mcFetch already prepends /api/mc/. Fix: mcFetch('agents') or make mcFetch accept both.

  2. CORS issues in dev: Add CORS middleware if frontend is on different port:

    app.add_middleware(CORSMiddleware, allow_origins=["*"], allow_methods=["*"], allow_headers=["*"])
    
  3. Supabase timeout on large tables: Use select parameter + limit + offset. Never SELECT * on tables with 1000+ rows or text columns > 1KB.

  4. Chart.js canvas reuse: Destroy previous chart instance before creating new one on the same canvas, or charts stack invisibly.

Deployment

Works on any platform that serves Python (Railway, Fly, Render):

  • Static files are served by FastAPI — no separate CDN needed
  • Supabase key stays server-side in env vars
  • No build step — edit HTML, refresh browser