[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_230":231,"_232":233},"routes/_app.x.$handle.$name",{"_96":95,"_32":45,"_104":86,"_27":105,"_13":14,"_106":-5,"_11":107,"_108":109,"_110":111,"_112":113,"_114":115,"_20":-5,"_116":-5,"_117":-5,"_118":25,"_119":120,"_121":58,"_122":-5,"_123":-5,"_124":125},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":31,"_57":58,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":-5,"_68":-5,"_69":70,"_71":70,"_72":73,"_74":73,"_75":73,"_76":70,"_77":70,"_78":79,"_80":81,"_82":83,"_84":25},"version",51,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.tsx","latestPath","fileId","d372be9e-869c-11f1-9568-1607ee4eb77e","name","fileType","http","content","import { listTimes, readSweep, SITES } from \"./radar.ts\";\nimport { ARPAE_SITES, listArpaeTimes, readArpaeGrid } from \"./arpae.ts\";\nimport { gridField, renderFields, sweepField } from \"./render.ts\";\nimport { PALETTES } from \"./colormaps.ts\";\n\nconst GROUPS: Record = { MOS: [\"DES\", \"FLE\"], MER: [\"GAT\", \"SPC\"] };\nconst members = (site: string) => GROUPS[site] ?? [site];\nconst isArpae = (site: string) => members(site).every((s) => s in ARPAE_SITES);\nconst MOSAIC_VARS = [\"DBZH\", \"TH\"];\nconst todayUTC = () => new Date().toISOString().slice(0, 10).replace(/-/g, \"\");\n\nasync function times(site: string, v: string, date: string): Promise {\n const ms = members(site);\n const lists = await Promise.all(\n ms.map((s) => (isArpae(site) ? listArpaeTimes(s, date) : listTimes(s, v))),\n );\n if (lists.length === 1) return lists[0];\n const other = new Set(lists[1]);\n return lists[0].filter((t) => other.has(t));\n}\n\nconst EUMETVIEW = \"https://view.eumetsat.int/geoserver/wms\";\nlet satCache: { at: number; layers: unknown[] } | null = null;\n\n/** Elenco dei layer EUMETView utili, letto dal GetCapabilities e tenuto in cache. */\nasync function satLayers() {\n if (satCache && Date.now() - satCache.at < 6 * 3600 * 1000) return satCache.layers;\n const xml = await (await fetch(\n `${EUMETVIEW}?service=WMS&version=1.3.0&request=GetCapabilities`,\n )).text();\n const seen = new Set();\n const layers: { name: string; title: string }[] = [];\n for (const chunk of xml.split(\"([^<]+)<\\/(?:Name|n)>/);\n if (!nm) continue;\n const name = nm[1].trim();\n if (!/^(mtg_fd|msg_fes):/.test(name) || seen.has(name)) continue;\n // solo i layer con dimensione temporale: sono quelli sincronizzabili col radar\n if (!/([^<]*)<\\/Title>/);\n layers.push({ name, title: (ti ? ti[1] : name).trim() });\n }\n layers.sort((a, b) => a.title.localeCompare(b.title));\n satCache = { at: Date.now(), layers };\n return layers;\n}\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const site = url.searchParams.get(\"site\") ?? \"MOS\";\n const v = isArpae(site) ? \"DBZH\" : (url.searchParams.get(\"var\") ?? \"DBZH\");\n const date = (url.searchParams.get(\"date\") ?? todayUTC()).replace(/-/g, \"\");\n\n if (url.pathname === \"/api/satlayers\") {\n try {\n return Response.json({ layers: await satLayers() });\n } catch (e) {\n return Response.json({ layers: [], error: String(e) });\n }\n }\n\n if (url.pathname === \"/api/times\") {\n try {\n return Response.json({ times: await times(site, v, date) });\n } catch (e) {\n return Response.json({ error: String(e) }, { status: 502 });\n }\n }\n\n if (url.pathname === \"/ppi.png\") {\n const elRaw = parseInt(url.searchParams.get(\"el\") ?? \"0\", 10);\n const el = Number.isFinite(elRaw) ? elRaw : 0;\n const theme = url.searchParams.get(\"theme\") === \"light\" ? \"light\" : \"dark\";\n let t = url.searchParams.get(\"t\") ?? \"latest\";\n\n if (GROUPS[site] && !MOSAIC_VARS.includes(v)) {\n return new Response(\n \"il mosaico e' definito solo per la riflettivita': i momenti polarimetrici dipendono dalla geometria di vista e non si combinano fra radar\",\n { status: 400 },\n );\n }\n\n try {\n if (t === \"latest\") {\n const list = await times(site, v, date);\n if (!list.length) throw new Error(\"nessun dato disponibile per questa data\");\n t = list[list.length - 1];\n }\n\n const ms = members(site);\n let fields, meta: Record;\n\n if (isArpae(site)) {\n const got = (await Promise.all(\n ms.map((s) => readArpaeGrid(s, t).catch(() => null)),\n )).filter((g) => g !== null) as NonNullable>>[];\n if (!got.length) throw new Error(\"mappa non disponibile per questa scadenza\");\n fields = got.map(gridField);\n meta = {\n kind: \"arpae\",\n ts: got[0].ts,\n elangles: [],\n NI: 0,\n height: null,\n resKm: got[0].xscale / 1000,\n rmaxKm: (got[0].xsize * got[0].xscale) / 2000,\n centers: got.map((g) => ({ site: g.site, name: g.name, lat: g.lat0, lon: g.lon0 })),\n missing: ms.filter((s) => !got.some((g) => g.site === s)),\n };\n } else {\n const got = (await Promise.all(\n ms.map((s) => readSweep(s, v, t, el).catch(() => null)),\n )).filter((s) => s !== null) as NonNullable>>[];\n if (!got.length) throw new Error(\"volume non disponibile per questa scadenza\");\n fields = got.map(sweepField);\n meta = {\n kind: \"lomb\",\n ts: got[0].ts,\n elangle: got[0].elangle,\n elangles: got[0].elangles,\n NI: got[0].NI,\n height: got[0].height,\n nrays: got[0].nrays,\n nbins: got[0].nbins,\n rmaxKm: got[0].rmaxKm,\n centers: got.map((s) => ({ site: s.site, name: SITES[s.site], lat: s.lat, lon: s.lon })),\n missing: ms.filter((s) => !got.some((g) => g.site === s)),\n };\n }\n\n const out = renderFields(fields, v, Number(meta.NI ?? 0), 1000, theme);\n meta.bounds = out.bounds;\n meta.varName = v;\n\n return new Response(out.png, {\n headers: {\n \"content-type\": \"image/png\",\n \"x-meta\": JSON.stringify(meta),\n \"access-control-expose-headers\": \"x-meta\",\n \"cache-control\": \"public, max-age=240\",\n },\n });\n } catch (e) {\n return new Response(String(e), { status: 502 });\n }\n }\n\n return new Response(page(), { headers: { \"content-type\": \"text/html; charset=utf-8\" } });\n}\n\nfunction page() {\n return `\n\n\nRadar Lombardia + Emilia-Romagna\n\n\n

Radar meteo — ARPA Lombardia (banda X) e ARPAE Emilia-Romagna (banda C)

dati aperti ODIM HDF5, decodificati e riproiettati in Web Mercator

\n \n \n \n data \n opacita' \n \n

\n \n \n \n \n \n —\n

\n satellite \n opacita' \n quota nube \n \n

caricamento...

\n\n`;\n}\n","import { listTimes, readSweep, SITES } from \"./radar.ts\";\nimport { ARPAE_SITES, listArpaeTimes, readArpaeGrid } from \"./arpae.ts\";\nimport { gridField, renderFields, sweepField } from \"./render.ts\";\nimport { PALETTES } from \"./colormaps.ts\";\n\nconst GROUPS: Record = { MOS: [\"DES\", \"FLE\"], MER: [\"GAT\", \"SPC\"] };\nconst members = (site: string) => GROUPS[site] ?? [site];\nconst isArpae = (site: string) => members(site).every((s) => s in ARPAE_SITES);\nconst MOSAIC_VARS = [\"DBZH\", \"TH\"];\nconst todayUTC = () => new Date().toISOString().slice(0, 10).replace(/-/g, \"\");\n\nasync function times(site: string, v: string, date: string): Promise {\n const ms = members(site);\n const lists = await Promise.all(\n ms.map((s) => (isArpae(site) ? listArpaeTimes(s, date) : listTimes(s, v))),\n );\n if (lists.length === 1) return lists[0];\n const other = new Set(lists[1]);\n return lists[0].filter((t) => other.has(t));\n}\n\nconst EUMETVIEW = \"https://view.eumetsat.int/geoserver/wms\";\nlet satCache: { at: number; layers: unknown[] } | null = null;\n\n/** Elenco dei layer EUMETView utili, letto dal GetCapabilities e tenuto in cache. */\nasync function satLayers() {\n if (satCache && Date.now() - satCache.at < 6 * 3600 * 1000) return satCache.layers;\n const xml = await (await fetch(\n `${EUMETVIEW}?service=WMS&version=1.3.0&request=GetCapabilities`,\n )).text();\n const seen = new Set();\n const layers: { name: string; title: string }[] = [];\n for (const chunk of xml.split(\"([^<]+)<\\/(?:Name|n)>/);\n if (!nm) continue;\n const name = nm[1].trim();\n if (!/^(mtg_fd|msg_fes):/.test(name) || seen.has(name)) continue;\n // solo i layer con dimensione temporale: sono quelli sincronizzabili col radar\n if (!/([^<]*)<\\/Title>/);\n layers.push({ name, title: (ti ? ti[1] : name).trim() });\n }\n layers.sort((a, b) => a.title.localeCompare(b.title));\n satCache = { at: Date.now(), layers };\n return layers;\n}\n\nexport default async function (req: Request): Promise {\n const url = new URL(req.url);\n const site = url.searchParams.get(\"site\") ?? \"MOS\";\n const v = isArpae(site) ? \"DBZH\" : (url.searchParams.get(\"var\") ?? \"DBZH\");\n const date = (url.searchParams.get(\"date\") ?? todayUTC()).replace(/-/g, \"\");\n\n if (url.pathname === \"/api/satlayers\") {\n try {\n return Response.json({ layers: await satLayers() });\n } catch (e) {\n return Response.json({ layers: [], error: String(e) });\n }\n }\n\n if (url.pathname === \"/api/times\") {\n try {\n return Response.json({ times: await times(site, v, date) });\n } catch (e) {\n return Response.json({ error: String(e) }, { status: 502 });\n }\n }\n\n if (url.pathname === \"/ppi.png\") {\n const elRaw = parseInt(url.searchParams.get(\"el\") ?? \"0\", 10);\n const el = Number.isFinite(elRaw) ? elRaw : 0;\n const theme = url.searchParams.get(\"theme\") === \"light\" ? \"light\" : \"dark\";\n let t = url.searchParams.get(\"t\") ?? \"latest\";\n\n if (GROUPS[site] && !MOSAIC_VARS.includes(v)) {\n return new Response(\n \"il mosaico e' definito solo per la riflettivita': i momenti polarimetrici dipendono dalla geometria di vista e non si combinano fra radar\",\n { status: 400 },\n );\n }\n\n try {\n if (t === \"latest\") {\n const list = await times(site, v, date);\n if (!list.length) throw new Error(\"nessun dato disponibile per questa data\");\n t = list[list.length - 1];\n }\n\n const ms = members(site);\n let fields, meta: Record;\n\n if (isArpae(site)) {\n const got = (await Promise.all(\n ms.map((s) => readArpaeGrid(s, t).catch(() => null)),\n )).filter((g) => g !== null) as NonNullable>>[];\n if (!got.length) throw new Error(\"mappa non disponibile per questa scadenza\");\n fields = got.map(gridField);\n meta = {\n kind: \"arpae\",\n ts: got[0].ts,\n elangles: [],\n NI: 0,\n height: null,\n resKm: got[0].xscale / 1000,\n rmaxKm: (got[0].xsize * got[0].xscale) / 2000,\n centers: got.map((g) => ({ site: g.site, name: g.name, lat: g.lat0, lon: g.lon0 })),\n missing: ms.filter((s) => !got.some((g) => g.site === s)),\n };\n } else {\n const got = (await Promise.all(\n ms.map((s) => readSweep(s, v, t, el).catch(() => null)),\n )).filter((s) => s !== null) as NonNullable>>[];\n if (!got.length) throw new Error(\"volume non disponibile per questa scadenza\");\n fields = got.map(sweepField);\n meta = {\n kind: \"lomb\",\n ts: got[0].ts,\n elangle: got[0].elangle,\n elangles: got[0].elangles,\n NI: got[0].NI,\n height: got[0].height,\n nrays: got[0].nrays,\n nbins: got[0].nbins,\n rmaxKm: got[0].rmaxKm,\n centers: got.map((s) => ({ site: s.site, name: SITES[s.site], lat: s.lat, lon: s.lon })),\n missing: ms.filter((s) => !got.some((g) => g.site === s)),\n };\n }\n\n const out = renderFields(fields, v, Number(meta.NI ?? 0), 1000, theme);\n meta.bounds = out.bounds;\n meta.varName = v;\n\n return new Response(out.png, {\n headers: {\n \"content-type\": \"image/png\",\n \"x-meta\": JSON.stringify(meta),\n \"access-control-expose-headers\": \"x-meta\",\n \"cache-control\": \"public, max-age=240\",\n },\n });\n } catch (e) {\n return new Response(String(e), { status: 502 });\n }\n }\n\n return new Response(page(), { headers: { \"content-type\": \"text/html; charset=utf-8\" } });\n}\n\nfunction page() {\n return `\n\n\nRadar Lombardia + Emilia-Romagna\n\n\n

Radar meteo — ARPA Lombardia (banda X) e ARPAE Emilia-Romagna (banda C)

dati aperti ODIM HDF5, decodificati e riproiettati in Web Mercator

\n \n \n \n data \n opacita' \n \n

\n \n \n \n \n \n —\n

\n satellite \n opacita' \n quota nube \n \n

caricamento...

\n\n`;\n}\n","createdAt",["D",1784901617462],"branchVersion","branchId","1e41c00a-8f7b-4f3d-b14e-dcbcc1b563f8","id","c26973aa-d769-4132-bb0a-d51ae82f03d0","radarlom-polar",["D",1784813505760],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Visualizzatore PPI polarimetrico radar ARPA Lombardia","imageUrl","019ba95c-929e-70ea-a632-3daf3d2c353b","pinnedFileId","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","019ba95c-929e-70ea-a632-40b422c292cb","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_96":95,"_103":99},"org",{"_96":95,"_97":-5,"_98":99,"_18":55,"_100":101,"_102":25},"branch",{"_13":85,"_32":86,"_43":42,"_87":44,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":45,"_94":95},"isOwned",52,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","niko12345678","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvb2F1dGhfZ2l0aHViL2ltZ18zODR5N2ZXRGNYMUFxNEZyZTVSbW4zNGJHbFYifQ","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_43":44,"_32":45,"_38":226,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":31,"_57":58,"_59":-5,"_60":-5,"_61":62,"_63":64,"_65":-5,"_66":-5,"_67":-5,"_68":-5,"_69":70,"_71":70,"_72":73,"_74":73,"_75":73,"_76":70,"_77":70,"_78":227,"_80":228,"_82":229,"_84":25},"tree",[197,198,199,200,201,202,203],"files",[197,198,199,200,201,202,203],"counts",{"_187":62,"_188":177,"_189":62,"_190":191,"_192":193},"contents",[126,127,128,129,130,131,132],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_43":180,"_32":181,"_30":182,"_136":-5,"_41":42,"_40":183,"_138":58,"_38":184,"_13":62,"_33":141,"_35":185,"_24":25,"_143":-5,"_27":186},{"_43":172,"_32":173,"_30":174,"_136":-5,"_41":42,"_40":175,"_138":58,"_38":176,"_13":177,"_33":141,"_35":178,"_24":25,"_143":-5,"_27":179},{"_43":168,"_32":28,"_30":31,"_136":-5,"_41":42,"_40":14,"_138":25,"_38":169,"_13":170,"_33":34,"_35":37,"_24":25,"_143":-5,"_27":171},{"_43":160,"_32":161,"_30":162,"_136":-5,"_41":42,"_40":163,"_138":58,"_38":164,"_13":165,"_33":141,"_35":166,"_24":25,"_143":-5,"_27":167},{"_43":153,"_32":154,"_30":155,"_136":-5,"_41":42,"_40":156,"_138":58,"_38":157,"_13":62,"_33":141,"_35":158,"_24":25,"_143":-5,"_27":159},{"_43":145,"_32":146,"_30":147,"_136":-5,"_41":42,"_40":148,"_138":58,"_38":149,"_13":150,"_33":141,"_35":151,"_24":25,"_143":-5,"_27":152},{"_43":133,"_32":134,"_30":135,"_136":-5,"_41":42,"_40":137,"_138":58,"_38":139,"_13":140,"_33":141,"_35":142,"_24":25,"_143":-5,"_27":144},"7e73303a-81c1-430f-863e-84c49019862d","render.ts","b002aa6e-869c-11f1-ba2e-1607ee4eb77e","parentId",44,"latest",["D",1784900403465],6,"script","import { encode } from \"npm:fast-png@6.2.0\";\nimport type { Sweep } from \"./radar.ts\";\nimport type { Grid } from \"./arpae.ts\";\nimport { buildLut, PALETTES } from \"./colormaps.ts\";\n\nconst KM_PER_DEG_LAT = 110.574;\nconst kmPerDegLon = (lat: number) => 111.320 * Math.cos((lat * Math.PI) / 180);\nconst merc = (lat: number) => Math.log(Math.tan(Math.PI / 4 + (lat * Math.PI) / 360));\nconst invMerc = (y: number) => ((2 * Math.atan(Math.exp(y)) - Math.PI / 2) * 180) / Math.PI;\nconst RAD = Math.PI / 180;\nconst R_EARTH_M = 6371000;\n\nexport interface BBox { latS: number; latN: number; lonW: number; lonE: number }\n\n/** Sorgente campionabile: nasconde la differenza fra volume polare e griglia. */\nexport interface Field {\n site: string;\n name: string;\n lat: number;\n lon: number;\n bbox: BBox;\n rings: number[];\n sample(lat: number, lon: number): number; // NaN = nessun dato\n}\n\nexport interface Rendered {\n png: Uint8Array;\n bounds: [[number, number], [number, number]];\n width: number;\n height: number;\n}\n\n/** Adattatore per i volumi polari ARPA Lombardia. */\nexport function sweepField(sw: Sweep): Field {\n const dLat = sw.rmaxKm / KM_PER_DEG_LAT;\n const dLon = sw.rmaxKm / kmPerDegLon(sw.lat);\n return {\n site: sw.site,\n name: sw.site,\n lat: sw.lat,\n lon: sw.lon,\n bbox: { latS: sw.lat - dLat, latN: sw.lat + dLat, lonW: sw.lon - dLon, lonE: sw.lon + dLon },\n rings: [25, 50, 75, 100, 125],\n sample(lat, lon) {\n const dyKm = (lat - sw.lat) * KM_PER_DEG_LAT;\n const dxKm = (lon - sw.lon) * kmPerDegLon((lat + sw.lat) / 2);\n const r = Math.hypot(dxKm, dyKm);\n if (r > sw.rmaxKm) return NaN;\n const bin = Math.floor((r - sw.rstartKm) / sw.rscaleKm);\n if (bin < 0 || bin >= sw.nbins) return NaN;\n let az = Math.atan2(dxKm, dyKm) / RAD;\n if (az < 0) az += 360;\n const ray = Math.min(sw.nrays - 1, Math.floor((az * sw.nrays) / 360));\n const v = sw.raw[ray * sw.nbins + bin];\n if (v === sw.nodata || v === sw.undetect) return NaN;\n return sw.offset + sw.gain * v;\n },\n };\n}\n\n/**\n * Adattatore per le mappe ARPAE. La proiezione e' azimutale equidistante centrata\n * sul radar, quindi si inverte a mano: distanza e azimut geodetici dal centro danno\n * direttamente le coordinate di griglia, senza bisogno di proj4.\n */\nexport function gridField(g: Grid): Field {\n const phi1 = g.lat0 * RAD;\n const sin1 = Math.sin(phi1), cos1 = Math.cos(phi1);\n const halfX = g.xsize / 2, halfY = g.ysize / 2;\n const maxKm = (Math.max(g.xsize * g.xscale, g.ysize * g.yscale) / 2) / 1000;\n return {\n site: g.site,\n name: g.name,\n lat: g.lat0,\n lon: g.lon0,\n bbox: g.bbox,\n rings: [50, 100, 150, 200].filter((r) => r < maxKm),\n sample(lat, lon) {\n const phi2 = lat * RAD, dl = (lon - g.lon0) * RAD;\n const sin2 = Math.sin(phi2), cos2 = Math.cos(phi2);\n const cosdl = Math.cos(dl);\n let cosc = sin1 * sin2 + cos1 * cos2 * cosdl;\n cosc = cosc > 1 ? 1 : cosc < -1 ? -1 : cosc;\n const d = R_EARTH_M * Math.acos(cosc);\n const th = Math.atan2(Math.sin(dl) * cos2, cos1 * sin2 - sin1 * cos2 * cosdl);\n const col = Math.round((d * Math.sin(th)) / g.xscale + halfX - 0.5);\n const row = Math.round(halfY - 0.5 - (d * Math.cos(th)) / g.yscale);\n if (col < 0 || col >= g.xsize || row < 0 || row >= g.ysize) return NaN;\n const v = g.data[row * g.xsize + col];\n if (v === g.nodata || v === g.undetect) return NaN;\n return g.offset + g.gain * v;\n },\n };\n}\n\n/** Proietta uno o piu' campi sulla stessa griglia Web Mercator (combinazione: max). */\nexport function renderFields(\n fields: Field[],\n varName: string,\n NI: number,\n width = 1000,\n theme: \"dark\" | \"light\" = \"dark\",\n): Rendered {\n const p = PALETTES[varName] ?? PALETTES.DBZH;\n const nyq = !!p.nyquist;\n const lutMin = nyq ? -1 : p.stops[0][0];\n const lutMax = nyq ? 1 : p.stops[p.stops.length - 1][0];\n const lut = buildLut(p.stops, lutMin, lutMax);\n const nLut = lut.length / 3;\n const nyquist = Math.abs(NI) || 10;\n\n let latS = 90, latN = -90, lonW = 180, lonE = -180;\n for (const f of fields) {\n latS = Math.min(latS, f.bbox.latS);\n latN = Math.max(latN, f.bbox.latN);\n lonW = Math.min(lonW, f.bbox.lonW);\n lonE = Math.max(lonE, f.bbox.lonE);\n }\n const yS = merc(latS), yN = merc(latN);\n const mercW = ((lonE - lonW) * Math.PI) / 180;\n const mercH = yN - yS;\n const height = Math.round((width * mercH) / mercW);\n\n const rgba = new Uint8Array(width * height * 4);\n const spanLon = lonE - lonW;\n const kmPerPx = (spanLon / width) * kmPerDegLon((latS + latN) / 2);\n const ringTol = kmPerPx * 0.6;\n const ringRGB = theme === \"light\" ? [38, 46, 56] : [255, 255, 255];\n const single = fields.length === 1;\n\n for (let y = 0; y < height; y++) {\n const lat = invMerc(yN - ((y + 0.5) / height) * mercH);\n for (let x = 0; x < width; x++) {\n const lon = lonW + ((x + 0.5) / width) * spanLon;\n let best = -Infinity;\n let onRing = false;\n let covered = false;\n\n for (let i = 0; i < fields.length; i++) {\n const f = fields[i];\n if (lat < f.bbox.latS || lat > f.bbox.latN || lon < f.bbox.lonW || lon > f.bbox.lonE) continue;\n covered = true;\n const v = f.sample(lat, lon);\n if (v === v && v > best) best = v;\n\n if (!onRing && (single || f.rings.length)) {\n const dyKm = (lat - f.lat) * KM_PER_DEG_LAT;\n const dxKm = (lon - f.lon) * kmPerDegLon((lat + f.lat) / 2);\n const r = Math.hypot(dxKm, dyKm);\n const set = single ? f.rings : f.rings.filter((_, k) => k % 2 === 1);\n for (let k = 0; k < set.length; k++) {\n if (Math.abs(r - set[k]) < ringTol) { onRing = true; break; }\n }\n }\n }\n if (!covered) continue;\n const o = (y * width + x) * 4;\n\n if (best > -Infinity && !(p.floor !== undefined && best < p.floor)) {\n const u = nyq ? Math.max(-1, Math.min(1, best / nyquist)) : best;\n let idx = Math.round(((u - lutMin) / (lutMax - lutMin)) * (nLut - 1));\n idx = Math.max(0, Math.min(nLut - 1, idx));\n rgba[o] = lut[idx * 3];\n rgba[o + 1] = lut[idx * 3 + 1];\n rgba[o + 2] = lut[idx * 3 + 2];\n rgba[o + 3] = 255;\n }\n\n if (onRing) {\n const a = rgba[o + 3] / 255;\n const w = 1 - a * 0.5;\n rgba[o] = Math.round(rgba[o] * a * 0.5 + ringRGB[0] * w);\n rgba[o + 1] = Math.round(rgba[o + 1] * a * 0.5 + ringRGB[1] * w);\n rgba[o + 2] = Math.round(rgba[o + 2] * a * 0.5 + ringRGB[2] * w);\n rgba[o + 3] = Math.max(rgba[o + 3], theme === \"light\" ? 110 : 90);\n }\n }\n }\n\n return {\n png: encode({ width, height, data: rgba, channels: 4, depth: 8 }),\n bounds: [[latS, lonW], [latN, lonE]],\n width,\n height,\n };\n}\n","label",[134],"add2a355-f224-4926-b36f-9836532ecbef","radar.ts","919f531a-869c-11f1-bb07-1607ee4eb77e",35,["D",1784842691548],2,"import h5wasm from \"npm:h5wasm@0.7.8\";\n\nexport const BASE = \"https://radarlive.arpalombardia.it/Volumi\";\nexport const SITES: Record = { DES: \"Desio\", FLE: \"Flero\" };\nexport const VARS = [\"DBZH\", \"TH\", \"ZDR\", \"KDP\", \"PHIDP\", \"RHOHV\", \"VRADH\", \"WRADH\"];\n\nexport interface Sweep {\n site: string;\n varName: string;\n ts: string;\n elangle: number;\n elangles: number[];\n nrays: number;\n nbins: number;\n rscaleKm: number;\n rstartKm: number;\n rmaxKm: number;\n gain: number;\n offset: number;\n nodata: number;\n undetect: number;\n NI: number;\n lat: number;\n lon: number;\n height: number;\n raw: Uint16Array;\n}\n\nconst num = (v: unknown) => (typeof v === \"bigint\" ? Number(v) : Number(v));\n\nfunction attrs(f: any, path: string): Record {\n const g = f.get(path);\n if (!g) return {};\n const out: Record = {};\n for (const [k, v] of Object.entries(g.attrs as any)) out[k] = (v as any).value;\n return out;\n}\n\n/** Elenco dei timestamp disponibili (ultime 24h), dal piu' vecchio al piu' recente. */\nexport async function listTimes(site: string, varName: string): Promise {\n const res = await fetch(`${BASE}/${site}/`);\n if (!res.ok) throw new Error(`listing ${site}: HTTP ${res.status}`);\n const html = await res.text();\n const re = new RegExp(`${SITES[site]}\\\\.(\\\\d{8}T\\\\d{6}Z)_${varName}\\\\.h5\\\\.gz`, \"g\");\n const ts = [...new Set([...html.matchAll(re)].map((m) => m[1]))];\n ts.sort();\n return ts;\n}\n\n/** Scarica un volume, decomprime e ne estrae una singola elevazione. */\nexport async function readSweep(\n site: string,\n varName: string,\n ts: string,\n sweepIdx: number,\n): Promise {\n const url = `${BASE}/${site}/${SITES[site]}.${ts}_${varName}.h5.gz`;\n const res = await fetch(url);\n if (!res.ok) throw new Error(`volume non disponibile (HTTP ${res.status})`);\n const stream = res.body!.pipeThrough(new DecompressionStream(\"gzip\"));\n const bytes = new Uint8Array(await new Response(stream).arrayBuffer());\n\n const { FS } = await h5wasm.ready;\n const tmp = `/${crypto.randomUUID()}.h5`;\n FS.writeFile(tmp, bytes);\n const f = new h5wasm.File(tmp, \"r\");\n try {\n const groups = f.keys().filter((k: string) => /^dataset\\d+$/.test(k))\n .sort((a: string, b: string) => +a.slice(7) - +b.slice(7));\n const elangles = groups.map((g: string) => num(attrs(f, `${g}/where`).elangle));\n const idx = Math.min(Math.max(sweepIdx, 0), groups.length - 1);\n const g = groups[idx];\n\n const where = attrs(f, `${g}/where`);\n const how = attrs(f, `${g}/how`);\n const what = attrs(f, `${g}/data1/what`);\n const root = attrs(f, \"where\");\n\n const nbins = num(where.nbins);\n const rscaleKm = num(where.rscale) / 1000;\n const rstartKm = num(where.rstart);\n\n return {\n site,\n varName,\n ts,\n elangle: num(where.elangle),\n elangles,\n nrays: num(where.nrays),\n nbins,\n rscaleKm,\n rstartKm,\n rmaxKm: rstartKm + nbins * rscaleKm,\n gain: num(what.gain),\n offset: num(what.offset),\n nodata: num(what.nodata),\n undetect: num(what.undetect),\n NI: how.NI !== undefined ? num(how.NI) : 0,\n lat: num(root.lat),\n lon: num(root.lon),\n height: root.height !== undefined ? num(root.height) : 0,\n raw: (f.get(`${g}/data1/data`) as any).value as Uint16Array,\n };\n } finally {\n f.close();\n try {\n FS.unlink(tmp);\n } catch { /* ignore */ }\n }\n}\n",[146],"89afdaf1-227d-42e2-a196-68cbb3a08642","probe_arpae.ts","c8d4e8c2-8764-11f1-8b39-1607ee4eb77e",42,["D",1784900236087],"import h5wasm from \"npm:h5wasm@0.7.8\";\n\nconst BASE = \"https://dati-simc.arpae.it/opendata/radar/zlr\";\n\nconst listing = await (await fetch(`${BASE}/2026/07/21/`)).text();\nconst names = [...listing.matchAll(/href=\"(itgat_\\d{14}\\.h5)\"/g)].map((m) => m[1]);\nconsole.log(\"file trovati:\", names.length, \"primo:\", names[0], \"ultimo:\", names[names.length - 1]);\n\n// prendo un file di pomeriggio, quando e' piu' probabile ci sia roba\nconst pick = names.find((n) => n.includes(\"20260721160000\")) ?? names[0];\nconst buf = new Uint8Array(await (await fetch(`${BASE}/2026/07/21/${pick}`)).arrayBuffer());\nconsole.log(\"file:\", pick, buf.length, \"bytes\");\n\nconst { FS } = await h5wasm.ready;\nFS.writeFile(\"/a.h5\", buf);\nconst f = new h5wasm.File(\"/a.h5\", \"r\");\n\nconst attrs = (p: string) => {\n const g = f.get(p) as any;\n if (!g) return null;\n const o: Record = {};\n for (const [k, v] of Object.entries(g.attrs as any)) {\n const val = (v as any).value;\n o[k] = typeof val === \"bigint\" ? Number(val) : ArrayBuffer.isView(val) ? Array.from(val as any).slice(0, 4).map(Number) : val;\n }\n return o;\n};\n\nconsole.log(\"root keys:\", JSON.stringify(f.keys()));\nconsole.log(\"root/what:\", JSON.stringify(attrs(\"what\")));\nconsole.log(\"root/where:\", JSON.stringify(attrs(\"where\")));\nconsole.log(\"root/how:\", JSON.stringify(attrs(\"how\")));\n\nfor (const k of f.keys().filter((x: string) => /^dataset\\d+$/.test(x))) {\n const g = f.get(k) as any;\n console.log(k, \"keys:\", JSON.stringify(g.keys()));\n console.log(k, \"/what:\", JSON.stringify(attrs(`${k}/what`)));\n console.log(k, \"/where:\", JSON.stringify(attrs(`${k}/where`)));\n for (const d of g.keys().filter((x: string) => /^data\\d+$/.test(x))) {\n console.log(k, d, \"/what:\", JSON.stringify(attrs(`${k}/${d}/what`)));\n const arr = f.get(`${k}/${d}/data`) as any;\n console.log(k, d, \"shape:\", JSON.stringify(arr.shape), \"dtype:\", arr.dtype);\n }\n}\nf.close();\n",[154],"078e2108-49c7-4bf2-9982-76de4f3cecb3","probe.ts","d992698e-869a-11f1-906c-1607ee4eb77e",4,["D",1784813712462],3,"import h5wasm from \"npm:h5wasm@0.7.8\";\n\nconst BASE = \"https://radarlive.arpalombardia.it/Volumi\";\n\nconst J = (o: unknown) =>\n JSON.stringify(o, (_k, v) => {\n if (typeof v === \"bigint\") return Number(v);\n if (ArrayBuffer.isView(v)) return Array.from(v as any).slice(0, 8).map(Number);\n return v;\n });\n\nasync function latestFile(site: string, varName: string) {\n const html = await (await fetch(`${BASE}/${site}/`)).text();\n const re = new RegExp(`href=\"([^\"]*_${varName}\\\\.h5\\\\.gz)\"`, \"g\");\n const names = [...html.matchAll(re)].map((m) => m[1]);\n names.sort();\n return names[names.length - 1];\n}\n\nasync function fetchVolume(site: string, varName: string) {\n const name = await latestFile(site, varName);\n const res = await fetch(`${BASE}/${site}/${name}`);\n const ds = res.body!.pipeThrough(new DecompressionStream(\"gzip\"));\n return { name, bytes: new Uint8Array(await new Response(ds).arrayBuffer()) };\n}\n\nconst { name, bytes } = await fetchVolume(\"DES\", \"RHOHV\");\nconsole.log(\"file:\", name, bytes.length, \"bytes\");\n\nconst { FS } = await h5wasm.ready;\nFS.writeFile(\"/probe.h5\", bytes);\nconst f = new h5wasm.File(\"/probe.h5\", \"r\");\n\nconst attrs = (path: string) => {\n const g = f.get(path) as any;\n if (!g) return null;\n const out: Record = {};\n for (const [k, v] of Object.entries(g.attrs as any)) out[k] = (v as any).value;\n return out;\n};\n\nconsole.log(\"root/where:\", J(attrs(\"where\")));\nconsole.log(\"dataset1 keys:\", J((f.get(\"dataset1\") as any).keys()));\nconsole.log(\"dataset1/where:\", J(attrs(\"dataset1/where\")));\nconsole.log(\"dataset1/what:\", J(attrs(\"dataset1/what\")));\nconsole.log(\"dataset1/how:\", J(attrs(\"dataset1/how\")));\nconsole.log(\"data1 keys:\", J((f.get(\"dataset1/data1\") as any).keys()));\nconsole.log(\"data1/what:\", J(attrs(\"dataset1/data1/what\")));\n\nconst arr = f.get(\"dataset1/data1/data\") as any;\nconsole.log(\"shape:\", J(arr.shape), \"dtype:\", arr.dtype);\n\nfor (const s of f.keys().filter((k: string) => /^dataset\\d+$/.test(k))) {\n const w = attrs(`${s}/where`) as any;\n console.log(s, \"el\", Number(w.elangle), \"nrays\", Number(w.nrays), \"nbins\", Number(w.nbins), \"rscale\", Number(w.rscale));\n}\nf.close();\n",[161],"59565356-759d-432c-835f-c4ec1e70b59d",["D",1784901617462],32,[28],"668fd4a1-d2e4-4c32-949e-d17393921dee","colormaps.ts","a0962790-869c-11f1-93a2-1607ee4eb77e",33,["D",1784842683410],1,"export type Stop = [value: number, hex: string];\n\nexport interface Palette {\n label: string;\n unit: string;\n /** spiegazione in linguaggio comune, mostrata sotto la mappa */\n desc: string;\n stops: Stop[];\n /** valori sotto questa soglia = trasparenti (rumore/no eco) */\n floor?: number;\n /** se true, i limiti sono +/- NI letto dal file */\n nyquist?: boolean;\n}\n\nconst DBZ_STOPS: Stop[] = [\n [5, \"#04e9e7\"], [10, \"#019ff4\"], [15, \"#0300f4\"], [20, \"#02fd02\"],\n [25, \"#01c501\"], [30, \"#008e00\"], [35, \"#fdf802\"], [40, \"#e5bc00\"],\n [45, \"#fd9500\"], [50, \"#fd0000\"], [55, \"#d40000\"], [60, \"#bc0000\"],\n [65, \"#f800fd\"], [70, \"#9854c6\"],\n];\n\nexport const PALETTES: Record = {\n DBZH: {\n label: \"Riflettività\",\n unit: \"dBZ\",\n desc:\n \"Quanta acqua c'è nel fascio: è il radar “classico”, quello dei siti meteo. Più alto il valore, \" +\n \"più intensa la precipitazione. Sotto 20 dBZ è pioviggine, 35-45 è pioggia vera, oltre 50 è un \" +\n \"rovescio forte e sopra 55-60 quasi sempre c'è grandine. Attenzione: misura quello che il radar \" +\n \"vede in quota, non necessariamente quello che tocca terra.\",\n floor: 5,\n stops: DBZ_STOPS,\n },\n TH: {\n label: \"Riflettività totale (non filtrata)\",\n unit: \"dBZ\",\n desc:\n \"La stessa cosa della riflettività, ma senza i filtri che eliminano gli echi non meteorologici. \" +\n \"Qui vedi anche montagne, edifici, stormi e insetti. Serve per capire cosa il radar stia \" +\n \"realmente ricevendo, e per riconoscere i disturbi fissi che si ripetono uguali ogni giorno.\",\n floor: 5,\n stops: DBZ_STOPS,\n },\n RHOHV: {\n label: \"Coefficiente di correlazione\",\n unit: \"\",\n desc:\n \"Quanto si somigliano fra loro le particelle dentro il fascio. Vicino a 1 significa “tutte uguali”, \" +\n \"cioè pioggia ordinata di gocce simili. Sotto 0,9 c'è un miscuglio disordinato: grandine, neve che \" +\n \"si sta sciogliendo, oppure roba che non è affatto meteo — colline, palazzi, uccelli, insetti. \" +\n \"È il modo migliore per capire se un eco è vera precipitazione o spazzatura.\",\n stops: [\n [0.20, \"#2b2b3d\"], [0.65, \"#3b4cc0\"], [0.80, \"#4a9bd6\"],\n [0.90, \"#6bd0d5\"], [0.95, \"#b0f27a\"], [0.97, \"#ffd24d\"],\n [0.99, \"#ff6b4a\"], [1.05, \"#d21f3c\"],\n ],\n },\n VRADH: {\n label: \"Velocità radiale\",\n unit: \"m/s\",\n desc:\n \"Quanto velocemente l'aria (e la pioggia dentro di essa) si avvicina o si allontana dal radar. \" +\n \"Verde = viene verso di noi, rosso = se ne va, scuro = ferma. Importante: non è il vento completo, \" +\n \"ma solo la sua componente lungo la linea di vista. Un vento che soffia di traverso al raggio \" +\n \"risulta zero anche se è fortissimo. Le due tinte accostate bruscamente indicano aria che ruota \" +\n \"o converge, il segnale che i meteorologi cercano nei temporali.\",\n nyquist: true,\n stops: [\n [-1.0, \"#00ff88\"], [-0.60, \"#00c853\"], [-0.25, \"#1b7a3d\"],\n [-0.04, \"#123322\"], [0.04, \"#33161a\"], [0.25, \"#a33131\"],\n [0.60, \"#e53935\"], [1.0, \"#ff8a80\"],\n ],\n },\n WRADH: {\n label: \"Ampiezza spettrale\",\n unit: \"m/s\",\n desc:\n \"Quanto sono diverse fra loro le velocità nello stesso punto. Valori bassi = aria che si muove \" +\n \"compatta; valori alti = turbolenza, correnti che si mescolano, aria rimescolata dentro un temporale.\",\n stops: [\n [0, \"#101820\"], [1, \"#2c5f8a\"], [2, \"#3ba99c\"],\n [3, \"#8fd14f\"], [4, \"#ffd166\"], [6, \"#ef476f\"],\n ],\n },\n ZDR: {\n label: \"Riflettività differenziale\",\n unit: \"dB\",\n desc:\n \"Quanto sono schiacciate le particelle. Una goccia grande cade appiattita come un panino e dà \" +\n \"valori alti; una gocciolina è sferica e sta vicino a zero. Il chicco di grandine ruota su se \" +\n \"stesso mentre cade, quindi in media appare tondo: valori vicini a zero insieme a riflettività \" +\n \"altissima è la firma classica della grandine, ed è così che la si distingue dalla pioggia intensa.\",\n stops: [\n [-2, \"#6a3d9a\"], [-0.5, \"#3b4cc0\"], [0, \"#5a6b7a\"],\n [0.5, \"#4caf50\"], [1.5, \"#ffeb3b\"], [3, \"#ff9800\"], [6, \"#e53935\"],\n ],\n },\n KDP: {\n label: \"Fase differenziale specifica\",\n unit: \"°/km\",\n desc:\n \"Quanto il segnale viene “rallentato” attraversando la pioggia, chilometro per chilometro. \" +\n \"Cresce con la quantità di acqua liquida ed è quasi insensibile alla grandine, alla taratura \" +\n \"dell'antenna e all'attenuazione: quando la riflettività è dubbia, questo resta il miglior \" +\n \"indicatore di pioggia davvero forte in atto.\",\n stops: [\n [-1, \"#6a3d9a\"], [-0.2, \"#3b4cc0\"], [0.1, \"#4a5560\"],\n [0.5, \"#4caf50\"], [1.5, \"#ffeb3b\"], [3, \"#ff9800\"], [6, \"#e53935\"],\n ],\n },\n PHIDP: {\n label: \"Fase differenziale\",\n unit: \"°\",\n desc:\n \"Il dato grezzo da cui si ricava il KDP: lo sfasamento accumulato lungo tutto il percorso del \" +\n \"fascio. Cresce sempre man mano che ci si allontana dal radar, quindi preso da solo dice poco — \" +\n \"conta la sua pendenza, non il suo valore.\",\n stops: [\n [0, \"#2b2b3d\"], [60, \"#3b4cc0\"], [120, \"#3ba99c\"],\n [180, \"#8fd14f\"], [240, \"#ffd166\"], [360, \"#ef476f\"],\n ],\n },\n};\n\nconst hexToRgb = (h: string): [number, number, number] => [\n parseInt(h.slice(1, 3), 16),\n parseInt(h.slice(3, 5), 16),\n parseInt(h.slice(5, 7), 16),\n];\n\n/** LUT a 512 livelli fra min e max, con interpolazione lineare fra gli stop. */\nexport function buildLut(stops: Stop[], min: number, max: number, n = 512): Uint8Array {\n const lut = new Uint8Array(n * 3);\n const rgb = stops.map(([, h]) => hexToRgb(h));\n for (let i = 0; i < n; i++) {\n const v = min + ((max - min) * i) / (n - 1);\n let k = 0;\n while (k < stops.length - 1 && v > stops[k + 1][0]) k++;\n let c: [number, number, number];\n if (v <= stops[0][0]) c = rgb[0];\n else if (v >= stops[stops.length - 1][0]) c = rgb[rgb.length - 1];\n else {\n const [v0] = stops[k], [v1] = stops[k + 1];\n const t = (v - v0) / (v1 - v0 || 1);\n c = [\n rgb[k][0] + t * (rgb[k + 1][0] - rgb[k][0]),\n rgb[k][1] + t * (rgb[k + 1][1] - rgb[k][1]),\n rgb[k][2] + t * (rgb[k + 1][2] - rgb[k][2]),\n ];\n }\n lut[i * 3] = c[0];\n lut[i * 3 + 1] = c[1];\n lut[i * 3 + 2] = c[2];\n }\n return lut;\n}\n\n/** Estremi della scala per una variabile (NI serve solo per la velocita'). */\nexport function scaleRange(varName: string, NI: number): [number, number] {\n const p = PALETTES[varName];\n if (p?.nyquist) return [-Math.abs(NI || 10), Math.abs(NI || 10)];\n const s = p?.stops ?? [[0, \"#000000\"] as Stop];\n return [s[0][0], s[s.length - 1][0]];\n}\n",[173],"51cfbb7a-f65b-4609-98aa-5ccc12af119c","arpae.ts","18764aec-8765-11f1-86ef-1607ee4eb77e",43,["D",1784900369670],"import h5wasm from \"npm:h5wasm@0.7.8\";\n\nexport const ARPAE_BASE = \"https://dati-simc.arpae.it/opendata/radar/zlr\";\nexport const ARPAE_SITES: Record = {\n GAT: { name: \"Gattatico\", code: \"itgat\" },\n SPC: { name: \"San Pietro Capofiume\", code: \"itspc\" },\n};\n\nexport interface Grid {\n site: string;\n name: string;\n ts: string; // YYYYMMDDHHMMSS\n quantity: string;\n lat0: number;\n lon0: number;\n xsize: number;\n ysize: number;\n xscale: number; // metri per cella\n yscale: number;\n gain: number;\n offset: number;\n nodata: number;\n undetect: number;\n bbox: { latS: number; latN: number; lonW: number; lonE: number };\n data: Uint8Array;\n}\n\nconst num = (v: unknown) => (typeof v === \"bigint\" ? Number(v) : Number(v));\n\nfunction attrs(f: any, path: string): Record {\n const g = f.get(path);\n if (!g) return {};\n const out: Record = {};\n for (const [k, v] of Object.entries(g.attrs as any)) out[k] = (v as any).value;\n return out;\n}\n\nconst dayPath = (yyyymmdd: string) =>\n `${yyyymmdd.slice(0, 4)}/${yyyymmdd.slice(4, 6)}/${yyyymmdd.slice(6, 8)}`;\n\n/** Scadenze disponibili per un sito in un dato giorno (YYYYMMDD). */\nexport async function listArpaeTimes(site: string, yyyymmdd: string): Promise {\n const code = ARPAE_SITES[site].code;\n const res = await fetch(`${ARPAE_BASE}/${dayPath(yyyymmdd)}/`);\n if (!res.ok) return [];\n const html = await res.text();\n const re = new RegExp(`${code}_(\\\\d{14})\\\\.h5`, \"g\");\n const ts = [...new Set([...html.matchAll(re)].map((m) => m[1]))];\n ts.sort();\n return ts;\n}\n\n/** Legge una mappa di riflettivita' al suolo ARPAE (ODIM IMAGE, proiezione aeqd). */\nexport async function readArpaeGrid(site: string, ts: string): Promise {\n const { name, code } = ARPAE_SITES[site];\n const url = `${ARPAE_BASE}/${dayPath(ts.slice(0, 8))}/${code}_${ts}.h5`;\n const res = await fetch(url);\n if (!res.ok) throw new Error(`mappa non disponibile (HTTP ${res.status})`);\n const bytes = new Uint8Array(await res.arrayBuffer());\n\n const { FS } = await h5wasm.ready;\n const tmp = `/${crypto.randomUUID()}.h5`;\n FS.writeFile(tmp, bytes);\n const f = new h5wasm.File(tmp, \"r\");\n try {\n const where = attrs(f, \"where\");\n const what = attrs(f, \"dataset1/data1/what\");\n\n // il projdef e' del tipo: +proj=aeqd +lat_0=44.7909 +lon_0=10.4983 +units=m +datum=WGS84\n const projdef = String(where.projdef ?? \"\");\n const grab = (k: string) => {\n const m = projdef.match(new RegExp(`\\\\+${k}=([-\\\\d.]+)`));\n return m ? parseFloat(m[1]) : NaN;\n };\n const lat0 = grab(\"lat_0\"), lon0 = grab(\"lon_0\");\n if (!projdef.includes(\"+proj=aeqd\") || !isFinite(lat0) || !isFinite(lon0)) {\n throw new Error(`proiezione non gestita: ${projdef}`);\n }\n\n const lats = [where.LL_lat, where.LR_lat, where.UL_lat, where.UR_lat].map(num);\n const lons = [where.LL_lon, where.LR_lon, where.UL_lon, where.UR_lon].map(num);\n\n return {\n site,\n name,\n ts,\n quantity: String(what.quantity ?? \"DBZH\"),\n lat0,\n lon0,\n xsize: num(where.xsize),\n ysize: num(where.ysize),\n xscale: num(where.xscale),\n yscale: num(where.yscale),\n gain: num(what.gain),\n offset: num(what.offset),\n nodata: num(what.nodata),\n undetect: num(what.undetect),\n bbox: {\n latS: Math.min(...lats),\n latN: Math.max(...lats),\n lonW: Math.min(...lons),\n lonE: Math.max(...lons),\n },\n data: (f.get(\"dataset1/data1/data\") as any).value as Uint8Array,\n };\n } finally {\n f.close();\n try { FS.unlink(tmp); } catch { /* ignore */ }\n }\n}\n",[181],"pulls","branches","forks","envVars",{"_194":62,"_196":62},"connections",{"_194":62,"_195":62},"count","unfilledCount","emptyCount",{"_43":180,"_32":181,"_30":182,"_136":-5,"_41":42,"_40":183,"_138":58,"_38":223,"_13":62,"_33":141,"_35":185,"_24":25,"_143":-5,"_205":224,"_27":225},{"_43":172,"_32":173,"_30":174,"_136":-5,"_41":42,"_40":175,"_138":58,"_38":220,"_13":177,"_33":141,"_35":178,"_24":25,"_143":-5,"_205":221,"_27":222},{"_43":168,"_32":28,"_30":31,"_136":-5,"_41":42,"_40":14,"_138":25,"_38":217,"_13":170,"_33":34,"_35":37,"_24":25,"_143":-5,"_205":218,"_27":219},{"_43":160,"_32":161,"_30":162,"_136":-5,"_41":42,"_40":163,"_138":58,"_38":214,"_13":165,"_33":141,"_35":166,"_24":25,"_143":-5,"_205":215,"_27":216},{"_43":153,"_32":154,"_30":155,"_136":-5,"_41":42,"_40":156,"_138":58,"_38":211,"_13":62,"_33":141,"_35":158,"_24":25,"_143":-5,"_205":212,"_27":213},{"_43":145,"_32":146,"_30":147,"_136":-5,"_41":42,"_40":148,"_138":58,"_38":208,"_13":150,"_33":141,"_35":151,"_24":25,"_143":-5,"_205":209,"_27":210},{"_43":133,"_32":134,"_30":135,"_136":-5,"_41":42,"_40":137,"_138":58,"_38":204,"_13":140,"_33":141,"_35":142,"_24":25,"_143":-5,"_205":206,"_27":207},["D",1784900403465],"children",[],[134],["D",1784842691548],[],[146],["D",1784900236087],[],[154],["D",1784813712462],[],[161],["D",1784901617462],[],[28],["D",1784842683410],[],[173],["D",1784900369670],[],[181],["D",1784813505760],{"_96":95,"_103":99},{"_96":95,"_97":-5,"_98":99,"_18":55,"_100":101,"_102":25},{"_13":85,"_32":86,"_43":42,"_87":44,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":45,"_94":95},"ctx",{"_78":-5,"_123":263,"_264":265,"_266":267,"_268":25,"_269":25,"_270":25,"_271":58,"_272":-5,"_273":-7,"_274":-7,"_275":62,"_276":25,"_277":25,"_278":-5,"_279":25,"_280":25,"_281":25,"_282":-5},"ENV",{"_234":235,"_236":237,"_238":86,"_239":240,"_241":242,"_243":244,"_245":246,"_247":248,"_249":250,"_251":252,"_253":254,"_255":256,"_257":258,"_259":260,"_261":262},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","811aa22498c9b0b5a47e8d778de579cdb990f332","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v51