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Order and columns mirror the weather table.\nconst SOURCES = [\n { label: \"F36\", col: \"f36_ok\" },\n { label: \"F50\", col: \"f50_ok\" },\n { label: \"F45\", col: \"f45_ok\" },\n { label: \"fc\", col: \"fc_ok\" },\n { label: \"pw\", col: \"pw_ok\" },\n] as const;\n\nexport default async function () {\n const since = new Date(Date.now() - 7 * 24 * 60 * 60 * 1000).toISOString();\n const { rows } = await sqlite.execute({\n sql: `SELECT COUNT(*) AS n,\n SUM(CASE WHEN f36_status = 'ok' AND f36_wind_ms IS NOT NULL THEN 1 ELSE 0 END) AS f36_ok,\n SUM(CASE WHEN f50_status = 'ok' AND f50_wind_ms IS NOT NULL THEN 1 ELSE 0 END) AS f50_ok,\n SUM(CASE WHEN f45_status = 'ok' AND f45_wind_ms IS NOT NULL THEN 1 ELSE 0 END) AS f45_ok,\n SUM(CASE WHEN fc_status = 'ok' THEN 1 ELSE 0 END) AS fc_ok,\n SUM(CASE WHEN pw_status = 'ok' THEN 1 ELSE 0 END) AS pw_ok\n FROM weather WHERE utc_iso >= ?`,\n args: [since],\n });\n const r = rows[0];\n const count = Number(r.n);\n\n // Which sources exceeded the failure threshold in the last 7 days.\n const failing: { label: string; usable: number; total: number; failed: number; rate: number }[] = [];\n if (count > 0) {\n for (const s of SOURCES) {\n const usable = Number(r[s.col]);\n const failed = count - usable;\n const rate = failed / count;\n if (rate > MAX_FAILURE_RATE) {\n failing.push({ label: s.label, usable, total: count, failed, rate });\n }\n }\n }\n\n const rowOk = count >= 300;\n const sourcesOk = failing.length === 0;\n if (rowOk && sourcesOk) return; // all good, send nothing\n\n const parts: string[] = [];\n if (!rowOk) {\n parts.push(\n count === 0\n ? \"The weather scraper appears to have stopped — no rows were written in the last 7 days.\"\n : `Only ${count} rows were written to the weather table in the last 7 days (expected about 336).`,\n );\n }\n parts.push(\"Usable rows per source (last 7 days):\");\n for (const s of SOURCES) {\n const usable = count > 0 ? 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(failed / count) * 100 : 0;\n parts.push(`${s.label}: ${usable}/${count} usable — ${failed} failed (${pct.toFixed(2)}%)`);\n }\n\n const subject = !rowOk\n ? count === 0\n ? \"Weather scraper appears to have stopped\"\n : `Weather logger: only ${count} rows in the last 7 days`\n : `Weather logger: some sources above ${(MAX_FAILURE_RATE * 100).toFixed(0)}% failure`;\n\n await email({ subject, text: parts.join(\"\\n\") });\n}\n","createdAt",["D",1789111207283],"branchVersion","branchId","2542b9b0-76b4-4575-963f-bb75e9e9bdf5","id","b6406ee1-e1d7-40a6-bb87-c6d16cec69d3","weather-logger",["D",1787559428678],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Logs weather station data to SQLite every 30 min","imageUrl","066a7b24-96d7-46d4-939e-f5b224b2a41d","pinnedFileId","5639dd34-9f94-11f1-ae91-1607ee4eb77e","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","01a032d5-3e56-7348-adbb-ebd3f534eaf5","tursoName","b6406ee1e1d740a6bb87c6d16cec69d3","tursoHostname","b6406ee1e1d740a6bb87c6d16cec69d3-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789562426294],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_104":103,"_112":108},"org",{"_104":103,"_105":106,"_107":108,"_19":59,"_109":110,"_111":30},"branch",{"_13":93,"_37":94,"_47":46,"_95":48,"_96":-5,"_97":-5,"_98":-5,"_99":-5,"_100":-5,"_101":49,"_102":103},"isOwned",70,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","tollakurhansen","handle","displayName","Tollakur Hansen","avatar","https://lh3.googleusercontent.com/a/ACg8ocIkcv4dcqpZnSluPFgO40QnqyMc2wlVkOeC6qAjg0Xe5zOOkP0q=s96-c","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_47":48,"_37":49,"_42":208,"_51":-5,"_52":30,"_53":54,"_55":54,"_56":57,"_58":-5,"_19":59,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":67,"_68":69,"_70":71,"_72":73,"_74":209,"_76":-5,"_77":78,"_79":78,"_80":81,"_82":81,"_83":81,"_84":78,"_85":78,"_86":210,"_88":211,"_90":212,"_92":30},"tree",[187,188,189,190,191],"files",[187,188,189,190,191],"counts",{"_176":67,"_177":178,"_179":67,"_180":181,"_182":183},"contents",[135,136,137,138,139],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_47":169,"_37":170,"_35":171,"_142":-5,"_45":46,"_44":172,"_144":30,"_42":173,"_13":67,"_38":39,"_40":174,"_29":30,"_149":-5,"_32":175},{"_47":166,"_37":33,"_35":36,"_142":-5,"_45":46,"_44":14,"_144":30,"_42":167,"_13":67,"_38":39,"_40":41,"_29":30,"_149":-5,"_32":168},{"_47":159,"_37":160,"_35":161,"_142":-5,"_45":46,"_44":162,"_144":30,"_42":163,"_13":164,"_38":39,"_40":41,"_29":30,"_149":-5,"_32":165},{"_47":151,"_37":152,"_35":153,"_142":-5,"_45":46,"_44":154,"_144":30,"_42":155,"_13":156,"_38":39,"_40":157,"_29":30,"_149":-5,"_32":158},{"_47":140,"_37":141,"_35":61,"_142":-5,"_45":46,"_44":143,"_144":63,"_42":145,"_13":146,"_38":147,"_40":148,"_29":30,"_149":-5,"_32":150},"af3dca10-e92c-4b63-b9e8-3be2ab67f0c0","weather.csv.ts","parentId",10,"latest",["D",1787560973168],3,"http","import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nfunction esc(v: unknown) {\n const s = v === null || v === undefined ? \"\" : String(v);\n return /[\",\\n]/.test(s) ? `\"${s.replace(/\"/g, '\"\"')}\"` : s;\n}\n\nexport default async function (): Promise {\n let rows: Record[];\n try {\n rows = (await sqlite.execute({ sql: `SELECT * FROM weather ORDER BY utc_iso` })).rows;\n } catch {\n rows = [];\n }\n if (rows.length === 0) {\n return new Response(\"no data yet\\n\", { headers: { \"content-type\": \"text/csv\" } });\n }\n const cols = Object.keys(rows[0]);\n const lines = [cols, ...rows.map((r) => cols.map((c) => esc(r[c])))].map((r) => r.join(\",\"));\n return new Response(lines.join(\"\\n\") + \"\\n\", {\n headers: { \"content-type\": \"text/csv\" },\n });\n}\n","label",[141],"966c2f2e-9e33-449d-9ddb-0a7168a4f85f","weather-cron.ts","55ea195c-9f94-11f1-ae91-1607ee4eb77e",22,["D",1788512348690],13,"// Wind data for Oyrareingir from Tórshavnar havn (portwind.torshavn.fo),\n// used with permission. Source must be credited in any published output.\nimport { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nconst S36 = \"https://www.landsverk.fo/fo-fo/showstation?station=F-36\";\nconst S50 = \"https://www.landsverk.fo/fo-fo/showstation?station=F-50\";\nconst S45 = \"https://www.landsverk.fo/fo-fo/showstation?station=F-45\";\nconst WIND = \"https://portwind.torshavn.fo/\";\nconst URLF =\n \"https://api.open-meteo.com/v1/forecast?latitude=62.118934&longitude=-6.894895¤t=wind_speed_10m,wind_gusts_10m,wind_direction_10m,surface_pressure&wind_speed_unit=ms&timezone=auto\";\n\nconst FIELDS: [string, RegExp][] = [\n [\"wind_ms\", /Mi.?alvindur:\\s*(-?[\\d.,]+)\\s*m\\/s/i],\n [\"gust_ms\", /hvirlu:\\s*(-?[\\d.,]+)\\s*m\\/s/i],\n [\"pressure_hpa\", /Lufttr.?st:\\s*(-?[\\d.,]+)\\s*hPa/i],\n [\"rain_mmh\", /Regn:\\s*(-?[\\d.,]+)\\s*mm/i],\n [\"humidity_pct\", /V.?ta:\\s*(-?[\\d.,]+)\\s*%/i],\n [\"temp_c\", /KL\\.?\\s*\\d{1,2}[:.]\\d{2}\\s*(-?[\\d.,]+)\\s*.?C/i],\n [\"dir\", /.tt:\\s*([A-Za-z\\u00c6\\u00d8\\u00e6\\u00f8\\/-]{1,4})/],\n];\nconst NUMERIC = new Set(FIELDS.filter(([k]) => k !== \"dir\").map(([k]) => k));\n\nfunction parseStation(raw: string) {\n const html = raw\n .replace(//gi, \" \")\n .replace(//gi, \" \")\n .replace(/<[^>]+>/g, \" \")\n .replace(/\\s+/g, \" \");\n const out: Record = {};\n for (const [key, re] of FIELDS) {\n const m = html.match(re);\n let v = m ? m[1] : null;\n if (v !== null && NUMERIC.has(key)) {\n v = v.replace(/,/g, \".\");\n if (!/^-?\\d+(\\.\\d+)?$/.test(v)) return null; // whole station failed\n }\n out[key] = v;\n }\n return out;\n}\n\nfunction parseWind(raw: string) {\n const html = raw\n .replace(//gi, \" \")\n .replace(//gi, \" \")\n .replace(/<[^>]+>/g, \" \")\n .replace(/\\s+/g, \" \");\n // Only the \"Last 10 min. readings\" section carries the ten-minute mean.\n const sec = html.slice(html.lastIndexOf(\"Last 10 min\"));\n const re = /(\\d{2}-\\d{2}-\\d{4}\\s+\\d{2}:[0-5]0:00)\\s+(-?[\\d.,]+)\\s+(-?[\\d.,]+)\\s+(-?[\\d.,]+)/;\n const m = sec.match(re);\n if (!m) return null;\n const mean = m[2].replace(/,/g, \".\"), gust = m[3].replace(/,/g, \".\"), dir = m[4];\n if (!/^-?\\d+(\\.\\d+)?$/.test(mean)) return null;\n if (!/^-?\\d+(\\.\\d+)?$/.test(gust)) return null;\n if (!/^\\d{1,3}$/.test(dir)) return null;\n const d = +dir;\n if (d < 0 || d > 360) return null;\n return {\n pw_time_utc: m[1],\n pw_mean_ms: mean,\n pw_gust_ms: gust,\n pw_dir_deg: dir,\n };\n}\n\n\nasync function get(url: string) {\n const ac = new AbortController();\n const t = setTimeout(() => ac.abort(), 15000);\n try {\n const res = await fetch(url, { signal: ac.signal });\n if (!res.ok) return { status: \"http\" + res.status };\n return { status: \"ok\", text: await res.text() };\n } catch {\n return { status: \"nofetch\" };\n } finally {\n clearTimeout(t);\n }\n}\n\nfunction station(res: { status: string; text?: string }) {\n if (res.status !== \"ok\") return { status: res.status };\n const p = parseStation(res.text!);\n return p ? { status: \"ok\", ...p } : { status: \"parse\" };\n}\n\nfunction wind(res: { status: string; text?: string }) {\n if (res.status !== \"ok\") return { status: res.status };\n const p = parseWind(res.text!);\n return p ? { status: \"ok\", ...p } : { status: \"parse\" };\n}\n\nexport default async function () {\n const utc_iso = new Date().toISOString();\n const [r36, r50, r45, rwind, rfc] = await Promise.all([get(S36), get(S50), get(S45), get(WIND), get(URLF)]);\n const s36 = station(r36), s50 = station(r50), s45 = station(r45);\n const w = wind(rwind);\n\n let f: Record;\n if (rfc.status !== \"ok\") {\n f = { status: rfc.status };\n } else {\n try {\n const c = JSON.parse(rfc.text!).current;\n f = { status: \"ok\", wind_speed_10m: c.wind_speed_10m, wind_gusts_10m: c.wind_gusts_10m, wind_direction_10m: c.wind_direction_10m, surface_pressure: c.surface_pressure };\n } catch {\n f = { status: \"parse\" };\n }\n }\n\n const cols = (x: Record) => [\n x.status, x.wind_ms ?? null, x.gust_ms ?? null, x.pressure_hpa ?? null,\n x.rain_mmh ?? null, x.humidity_pct ?? null, x.temp_c ?? null, x.dir ?? null,\n ];\n const wcols = (x: Record) => [\n x.pw_time_utc ?? null, x.pw_mean_ms ?? null, x.pw_gust_ms ?? null,\n x.pw_dir_deg ?? null, x.status,\n ];\n const val = [\n utc_iso, ...cols(s36), ...cols(s50), ...cols(s45),\n f.status, f.wind_speed_10m ?? null, f.wind_gusts_10m ?? null,\n f.wind_direction_10m ?? null, f.surface_pressure ?? null,\n ...wcols(w),\n ];\n\n await sqlite.execute({ sql: `CREATE TABLE IF NOT EXISTS weather (\n utc_iso TEXT, f36_status TEXT, f36_wind_ms REAL, f36_gust_ms REAL, f36_pressure_hpa REAL,\n f36_rain_mmh REAL, f36_humidity_pct REAL, f36_temp_c REAL, f36_dir TEXT,\n f50_status TEXT, f50_wind_ms REAL, f50_gust_ms REAL, f50_pressure_hpa REAL,\n f50_rain_mmh REAL, f50_humidity_pct REAL, f50_temp_c REAL, f50_dir TEXT,\n f45_status TEXT, f45_wind_ms REAL, f45_gust_ms REAL, f45_pressure_hpa REAL,\n f45_rain_mmh REAL, f45_humidity_pct REAL, f45_temp_c REAL, f45_dir TEXT,\n fc_status TEXT, fc_wind_speed_10m REAL, fc_wind_gusts_10m REAL,\n fc_wind_direction_10m REAL, fc_surface_pressure REAL,\n pw_time_utc TEXT, pw_mean_ms REAL, pw_gust_ms REAL, pw_dir_deg REAL,\n pw_status TEXT)`});\n await sqlite.execute({ sql: `INSERT INTO weather VALUES (${val.map(() => \"?\").join(\",\")})`, args: val });\n}\n",[152],"1551f82a-d0e6-4fee-b7bd-1e5df6e590dd","weather-check.ts","2b9fb764-9fae-11f1-84a8-1607ee4eb77e",25,["D",1789111043589],2,[160],"a7bbce70-51e4-489d-a678-3e11ba81c4dd",["D",1789111207283],[33],"17518712-5228-4c08-ab67-a8c0fea57171","weather-check.pre-2pct-20260911.ts","c4f15cb4-adb0-11f1-8802-1607ee4eb77e",24,["D",1789111015487],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\nimport { email } from \"https://esm.town/v/std/email\";\n\nconst STATUS_COLS = [\"f36_status\", \"f50_status\", \"f45_status\", \"fc_status\", \"pw_status\"] as const;\n\nexport default async function () {\n const since = new Date(Date.now() - 7 * 24 * 60 * 60 * 1000).toISOString();\n const { rows } = await sqlite.execute({\n sql: `SELECT COUNT(*) AS n,\n SUM(CASE WHEN f36_status = 'ok' THEN 1 ELSE 0 END) AS f36_ok,\n SUM(CASE WHEN f50_status = 'ok' THEN 1 ELSE 0 END) AS f50_ok,\n SUM(CASE WHEN f45_status = 'ok' THEN 1 ELSE 0 END) AS f45_ok,\n SUM(CASE WHEN fc_status = 'ok' THEN 1 ELSE 0 END) AS fc_ok,\n SUM(CASE WHEN pw_status = 'ok' THEN 1 ELSE 0 END) AS pw_ok\n FROM weather WHERE utc_iso >= ?`,\n args: [since],\n });\n const r = rows[0];\n const count = Number(r.n);\n\n // Percentage of rows in the last 7 days where each source was 'ok'.\n const low: { name: string; pct: number }[] = [];\n if (count > 0) {\n for (const col of STATUS_COLS) {\n const ok = Number(r[col.replace(\"_status\", \"_ok\")]);\n const pct = (ok / count) * 100;\n if (pct < 50) low.push({ name: col, pct });\n }\n }\n\n const rowOk = count >= 300;\n const sourcesOk = low.length === 0;\n if (rowOk && sourcesOk) return; // all good, send nothing\n\n const parts: string[] = [];\n if (!rowOk) {\n parts.push(\n count === 0\n ? 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Diff · v26