\n {sensor.name}\n

\n \n {sensor.port}\n \n \n registered {formatDate(sensor.created_at)}\n \n

\n \n Edit\n \n \n View Dashboard →\n \n

\n );\n}\n\nfunction App() {\n const [sensors, setSensors] = useState(null);\n const [lastUpdated, setLastUpdated] = useState(null);\n const [error, setError] = useState(null);\n\n const fetchSensors = useCallback(async () => {\n try {\n const res = await fetch(`${BASE_URL}/sensors`);\n if (!res.ok) throw new Error(`HTTP ${res.status}`);\n const data: Sensor[] = await res.json();\n setSensors(data);\n setLastUpdated(new Date());\n setError(null);\n } catch (e: any) {\n setError(e.message);\n }\n }, []);\n\n useEffect(() => {\n fetchSensors();\n const id = setInterval(fetchSensors, POLL_INTERVAL_MS);\n return () => clearInterval(id);\n }, [fetchSensors]);\n\n return (\n

\n {/* Header */}\n

ESP32 Sensors

\n {sensors === null\n ? \"Loading…\"\n : `${sensors.length} sensor${\n sensors.length !== 1 ? \"s\" : \"\"\n } registered`}\n

\n {lastUpdated\n ? (\n <>\n Last updated\n
\n {lastUpdated.toLocaleTimeString()}\n \n )\n : (\n \"Loading…\"\n )}\n

\n\n {/* Error banner */}\n {error && (\n

\n ❌ {error}\n

\n )}\n\n {/* Sensor list */}\n {sensors === null\n ?

Loading…

\n : sensors.length === 0\n ? (\n

\n No sensors registered yet.\n

\n )\n : (\n

\n {sensors.map((s) => )}\n

\n )}\n

\n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\n\nif (typeof document !== \"undefined\") {\n client();\n}\n\nexport default async function server(request: Request): Promise {\n return new Response(\n `\n \n \n ESP32 Sensors\n \n \n \n \n

\n \n \n \n \n `,\n { headers: { \"Content-Type\": \"text/html\" } },\n );\n}",[],[76,118],"ef8dadb6-1273-11f1-8f41-42dde27851f2","sensor-edit.tsx","63355eea-1273-11f1-9e24-42dde27851f2",65,["D",1772042457447],"/** @jsxImportSource https://esm.sh/react */\nimport React, { useEffect, useState } from \"https://esm.sh/react\";\nimport { createRoot } from \"https://esm.sh/react-dom/client\";\n\nconst BASE_URL =\n \"https://nmsilva--70f64edc0e8a11f1840f42dde27851f2.web.val.run\";\nconst SENSORS_URL =\n \"https://nmsilva--7cb0ad98126911f1976942dde27851f2.web.val.run\";\n\ntype Sensor = {\n id: number;\n name: string;\n port: string;\n created_at: string;\n};\n\nfunction formatDate(created_at: string) {\n const d = new Date(created_at + \"Z\");\n return d.toLocaleDateString([], {\n day: \"numeric\",\n month: \"short\",\n year: \"numeric\",\n });\n}\n\nfunction App() {\n const sensorId = new URLSearchParams(window.location.search).get(\"sensorId\");\n\n const [sensor, setSensor] = useState(null);\n const [loadError, setLoadError] = useState(null);\n\n // Edit form state\n const [editName, setEditName] = useState(\"\");\n const [editKey, setEditKey] = useState(\"\");\n const [saving, setSaving] = useState(false);\n const [saveError, setSaveError] = useState(null);\n const [saveSuccess, setSaveSuccess] = useState(false);\n\n // Delete section state\n const [deleteKey, setDeleteKey] = useState(\"\");\n const [deleting, setDeleting] = useState(false);\n const [deleteError, setDeleteError] = useState(null);\n\n useEffect(() => {\n if (!sensorId) return;\n fetch(`${BASE_URL}/sensors/${sensorId}`)\n .then((r) => (r.ok ? r.json() : Promise.reject(`HTTP ${r.status}`)))\n .then((data) => {\n setSensor(data);\n setEditName(data.name);\n setLoadError(null);\n })\n .catch((e) => setLoadError(String(e)));\n }, [sensorId]);\n\n async function handleSave() {\n setSaving(true);\n setSaveError(null);\n try {\n const res = await fetch(`${BASE_URL}/sensors/${sensorId}`, {\n method: \"PATCH\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ access_key: editKey, name: editName }),\n });\n const data = await res.json();\n if (!res.ok) throw new Error(data.error ?? `HTTP ${res.status}`);\n setSensor(data);\n setSaveSuccess(true);\n setTimeout(() => setSaveSuccess(false), 3000);\n } catch (e: any) {\n setSaveError(e.message);\n } finally {\n setSaving(false);\n }\n }\n\n async function handleDelete() {\n setDeleting(true);\n setDeleteError(null);\n try {\n const res = await fetch(`${BASE_URL}/sensors/${sensorId}`, {\n method: \"DELETE\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ access_key: deleteKey }),\n });\n const data = await res.json();\n if (!res.ok) throw new Error(data.error ?? `HTTP ${res.status}`);\n window.location.href = SENSORS_URL;\n } catch (e: any) {\n setDeleteError(e.message);\n setDeleting(false);\n }\n }\n\n if (!sensorId) {\n return (\n

\n Missing sensorId query parameter.\n

\n \n ← Back to Sensors\n \n

\n );\n }\n\n return (\n

\n {/* Back link */}\n \n ← Back to Sensors\n \n\n {/* Loading state */}\n {!sensor && !loadError && (\n

Loading…

\n )}\n\n {/* Load error */}\n {loadError && (\n

\n ❌ {loadError}\n

\n )}\n\n {sensor && (\n <>\n {/* Header */}\n

\n {sensor.name}\n

\n \n {sensor.port}\n \n \n registered {formatDate(sensor.created_at)}\n \n

\n\n {/* Edit section */}\n

\n \n Edit sensor\n \n\n

\n Name\n setEditName(e.target.value)}\n className=\"w-full rounded-lg bg-gray-900 border border-gray-600 text-white px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-indigo-500\"\n />\n

\n\n

\n Access key\n setEditKey(e.target.value)}\n placeholder=\"••••••••\"\n className=\"w-full rounded-lg bg-gray-900 border border-gray-600 text-white px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-indigo-500\"\n />\n

\n\n {saveSuccess && (\n

\n ✓ Saved!\n

\n )}\n {saveError && (\n

\n ❌ {saveError}\n

\n )}\n\n \n {saving ? \"Saving…\" : \"Save changes\"}\n \n

\n\n {/* Delete section */}\n

\n \n Danger zone\n \n

\n Deletes the sensor and all its readings. This cannot be undone.\n

\n\n

\n Access key\n setDeleteKey(e.target.value)}\n placeholder=\"••••••••\"\n className=\"w-full rounded-lg bg-gray-900 border border-gray-600 text-white px-3 py-2 text-sm focus:outline-none focus:ring-2 focus:ring-red-500\"\n />\n

\n\n {deleteError && (\n

\n ❌ {deleteError}\n

\n )}\n\n \n {deleting ? \"Deleting…\" : \"Delete sensor\"}\n \n

\n \n )}\n

\n \n \n \n \n `,\n { headers: { \"Content-Type\": \"text/html\" } },\n );\n}",[],[76,127],"ee337c34-1273-11f1-b64c-42dde27851f2","dashboard.tsx","915ee102-0e8a-11f1-964f-42dde27851f2",64,["D",1772042455177],13,"/** @jsxImportSource https://esm.sh/react */\nimport React, { useCallback, useEffect, useState } from \"https://esm.sh/react\";\nimport { createRoot } from \"https://esm.sh/react-dom/client\";\nimport {\n CartesianGrid,\n Legend,\n Line,\n LineChart,\n ResponsiveContainer,\n Tooltip,\n XAxis,\n YAxis,\n} from \"https://esm.sh/recharts\";\n\nconst BASE_URL =\n \"https://nmsilva--70f64edc0e8a11f1840f42dde27851f2.web.val.run\";\nconst SENSORS_URL =\n \"https://nmsilva--7cb0ad98126911f1976942dde27851f2.web.val.run\";\nconst POLL_INTERVAL_MS = 10_000;\n\nfunction formatTime(recorded_at: string) {\n const d = new Date(recorded_at + \"Z\"); // treat as UTC\n return d.toLocaleTimeString([], {\n hour: \"2-digit\",\n minute: \"2-digit\",\n second: \"2-digit\",\n });\n}\n\nfunction StatCard({\n label,\n value,\n unit,\n color,\n}: {\n label: string;\n value: number | null;\n unit: string;\n color: string;\n}) {\n return (\n

\n \n {label}\n \n \n {value != null ? value.toFixed(1) : \"—\"}\n {unit}\n \n

\n );\n}\n\nfunction App() {\n const sensorId = new URLSearchParams(window.location.search).get(\"sensorId\");\n\n const [sensorName, setSensorName] = useState(null);\n const [readings, setReadings] = useState([]);\n const [lastUpdated, setLastUpdated] = useState(null);\n const [error, setError] = useState(null);\n\n useEffect(() => {\n if (!sensorId) return;\n fetch(`${BASE_URL}/sensors/${sensorId}`)\n .then((r) => (r.ok ? r.json() : Promise.reject(`HTTP ${r.status}`)))\n .then((data) => setSensorName(data.name ?? data.port ?? null))\n .catch((e) => setError(String(e)));\n }, [sensorId]);\n\n const fetchData = useCallback(async () => {\n if (!sensorId) return;\n try {\n const res = await fetch(`${BASE_URL}/sensors/${sensorId}/readings`);\n if (!res.ok) throw new Error(`HTTP ${res.status}`);\n const data = await res.json();\n\n // Normalise: val town sqlite returns { columns, rows } or plain array\n let rows: any[] = [];\n if (Array.isArray(data)) {\n rows = data;\n } else if (data.rows) {\n // { columns: [...], rows: [[...], ...] }\n rows = data.rows;\n }\n\n // Sort ascending by recorded_at, keep last 50 points\n rows.sort((a, b) => a.recorded_at?.localeCompare(b.recorded_at));\n setReadings(rows.slice(-50));\n setLastUpdated(new Date());\n setError(null);\n } catch (e: any) {\n setError(e.message);\n }\n }, [sensorId]);\n\n useEffect(() => {\n fetchData();\n const id = setInterval(fetchData, POLL_INTERVAL_MS);\n return () => clearInterval(id);\n }, [fetchData]);\n\n if (!sensorId) {\n return (\n

\n Missing sensorId query parameter.\n

\n );\n }\n\n const latest = readings.at(-1);\n\n const chartData = readings.map((r) => ({\n time: formatTime(r.recorded_at),\n temperature: Number(r.temperature),\n humidity: Number(r.humidity),\n }));\n\n console.log({ chartData, readings });\n\n return (\n

\n {/* Back link */}\n \n ← Back to Sensors\n \n\n {/* Header */}\n

\n ESP32 Sensor Dashboard\n

\n {sensorName ?? latest?.port ?? \"—\"} · auto-refresh every{\" \"}\n {POLL_INTERVAL_MS / 1000}s\n

\n {lastUpdated\n ? (\n <>\n Last updated\n
\n {lastUpdated.toLocaleTimeString()}\n \n )\n : (\n \"Loading…\"\n )}\n

\n\n {/* Error banner */}\n {error && (\n

\n ❌ {error}\n

\n )}\n\n {/* Stat cards */}\n

\n \n \n

\n \n Readings\n \n \n {readings.length}\n \n

\n\n {/* Chart */}\n

\n History\n

\n {readings.length === 0\n ? (\n

\n No data yet…\n

\n )\n : (\n \n \n \n \n \n \n \n \n \n \n \n \n )}\n

\n \n \n \n \n `,\n { headers: { \"Content-Type\": \"text/html\" } },\n );\n}",[],[76,135],["D",1772038600206],[146],[84],{"_38":147,"_13":148,"_41":149,"_43":85,"_44":45,"_46":150,"_48":49,"_50":151,"_17":152,"_53":153,"_55":154,"_57":58,"_59":-5,"_102":155,"_18":156},"0a012960-126b-11f1-9236-42dde27851f2","fake_sensors_valtown.ts","f612b0a4-126a-11f1-9ddb-42dde27851f2",51,["D",1772038636368],3,"interval","/**\n * fake_sensors_valtown.ts — Val Town scheduled val\n *\n * Simulates N ESP32-like sensors posting to the data endpoint.\n * Deploy as a Val Town **cron** val (e.g. every 5 minutes).\n *\n * Val Town docs: https://docs.val.town/types/cron/\n */\n\nconst DATA_URL =\n \"https://nmsilva--60c307fa0d8411f1971542dde27851f2.web.val.run\";\nconst ACCESS_KEY = \"b31c58a5-75b8-4b93-9e4a-51cf5204cf24\";\n\nconst SENSOR_COUNT = 3;\n\n// Build sensor port identifiers: GPIO4, GPIO5, GPIO6, …\nconst sensors = Array.from({ length: SENSOR_COUNT }, (_, i) => `GPIO${4 + i}`);\n\nfunction randomBetween(min: number, max: number): number {\n return Math.round((Math.random() * (max - min) + min) * 10) / 10;\n}\n\nasync function sendReading(port: string): Promise {\n const payload = {\n access_key: ACCESS_KEY,\n port,\n temperature: randomBetween(20, 25),\n humidity: randomBetween(50, 60),\n };\n\n const res = await fetch(DATA_URL, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify(payload),\n });\n const data = await res.json();\n console.log(\n `[${new Date().toISOString()}] ${port} ${res.status} ` +\n `temp=${payload.temperature}°C hum=${payload.humidity}% →`,\n data,\n );\n}\n\n// Val Town cron entry point — export a default async function\nexport default async function (): Promise {\n console.log(`Simulating ${SENSOR_COUNT} sensor(s): ${sensors.join(\", \")}`);\n console.log(`Target: ${DATA_URL}`);\n\n await Promise.all(sensors.map(sendReading));\n\n console.log(\"Done.\");\n}",[],[84,148],["D",1772036503963],[160],[90],{"_38":161,"_13":162,"_41":163,"_43":91,"_44":45,"_46":164,"_48":49,"_50":165,"_17":166,"_53":153,"_55":167,"_57":58,"_59":-5,"_102":168,"_18":169},"6438c5be-1266-11f1-b1be-42dde27851f2","migrations.ts","16a3eedc-1266-11f1-98b0-42dde27851f2",39,["D",1772036640243],4,"// @ts-ignore — npm: specifier resolved by Val Town's Deno runtime\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\n\n/**\n * Runs all database migrations in order.\n * Safe to call on every cold start — all operations are idempotent.\n *\n * Migration 0 — initial schema\n * Creates `sensors` and `sensor_readings` tables if they do not exist.\n *\n * Migration 1 — add sensor_id to sensor_readings\n * Detects the old schema (no `sensor_id` column), back-fills `sensors`\n * from distinct ports, adds the column, and back-fills the FK values.\n */\nexport async function runMigrations(): Promise {\n // ── Migration 0: initial schema ────────────────────────────────────────────\n\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS sensors (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n name TEXT NOT NULL,\n port TEXT NOT NULL UNIQUE,\n created_at TEXT NOT NULL DEFAULT (datetime('now'))\n )\n `);\n\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS sensor_readings (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n port TEXT NOT NULL,\n temperature REAL NOT NULL,\n humidity REAL NOT NULL,\n recorded_at TEXT NOT NULL DEFAULT (datetime('now'))\n )\n `);\n\n // ── Migration 1: add sensor_id column ─────────────────────────────────────\n\n const tableInfo = await sqlite.execute(`PRAGMA table_info(sensor_readings)`);\n const columns = tableInfo.rows.map((r: unknown[]) => r[1]); // index 1 = name\n\n if (!columns.includes(\"sensor_id\")) {\n // Back-fill sensors from distinct ports already in the table\n await sqlite.execute(`\n INSERT OR IGNORE INTO sensors (name, port)\n SELECT DISTINCT port, port FROM sensor_readings\n 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