[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_193":194,"_195":196},"routes/_app.x.$handle.$name",{"_95":94,"_32":45,"_103":85,"_27":104,"_13":14,"_105":-5,"_11":106,"_107":108,"_109":110,"_111":112,"_113":114,"_20":-5,"_115":-5,"_116":-5,"_117":25,"_118":119,"_120":121,"_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":-5,"_57":25,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":25},"version",42,"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.ts","latestPath","fileId","eb262fb8-6481-11f1-b247-1607ee4eb77e","name","fileType","http","content","import { HAPPY_IMAGE, SAD_IMAGE } from \"./images.ts\";\nimport {\n FORECAST_HOURS,\n LATITUDE,\n LONGITUDE,\n RAIN_MM_THRESHOLD,\n RAIN_PROBABILITY_THRESHOLD,\n TIMEZONE,\n UTC_OFFSET,\n} from \"./config.ts\";\nimport { addTextToImage, pngToRaw1bpp } from \"./addText.ts\";\n\ninterface WeatherResult {\n showRain: boolean;\n hoursUntilRain: number | null;\n totalMm: number;\n}\n\nasync function getWeather(): Promise {\n const res = await fetch(\n `https://api.open-meteo.com/v1/forecast?latitude=${LATITUDE}&longitude=${LONGITUDE}&hourly=precipitation,precipitation_probability&timezone=${\n encodeURIComponent(TIMEZONE)\n }&forecast_days=3`,\n );\n const data = await res.json();\n const now = new Date();\n const cutoff = new Date(now.getTime() + FORECAST_HOURS * 60 * 60 * 1000);\n\n let showRain = false;\n let hoursUntilRain: number | null = null;\n let totalMm = 0;\n\n for (let i = 0; i < data.hourly.time.length; i++) {\n const t = new Date(data.hourly.time[i] + UTC_OFFSET);\n if (t >= now && t <= cutoff) {\n totalMm += data.hourly.precipitation[i];\n if (\n !showRain &&\n data.hourly.precipitation[i] >= RAIN_MM_THRESHOLD &&\n data.hourly.precipitation_probability[i] > RAIN_PROBABILITY_THRESHOLD\n ) {\n showRain = true;\n }\n if (\n hoursUntilRain === null &&\n data.hourly.precipitation_probability[i] > RAIN_PROBABILITY_THRESHOLD\n ) {\n hoursUntilRain = Math.round(\n (t.getTime() - now.getTime()) / (60 * 60 * 1000),\n );\n }\n }\n }\n\n return { showRain, hoursUntilRain, totalMm };\n}\n\nfunction formatLabel(hoursUntilRain: number | null, totalMm: number): string {\n const h = hoursUntilRain;\n const mm = Math.round(totalMm);\n return ` 🕥 ${h}h (>10%) 🌧 ${mm}mm (30h)`;\n}\n\nexport default async function (req: Request): Promise {\n const { showRain, hoursUntilRain, totalMm } = await getWeather();\n const b64 = showRain ? SAD_IMAGE : HAPPY_IMAGE;\n const binary = atob(b64);\n let bytes = new Uint8Array(binary.length);\n for (let i = 0; i < binary.length; i++) bytes[i] = binary.charCodeAt(i);\n bytes = addTextToImage(bytes, formatLabel(hoursUntilRain, totalMm));\n return new Response(bytes, {\n headers: { \"Content-Type\": \"image/png\", \"Cache-Control\": \"no-store\" },\n });\n}","import { HAPPY_IMAGE, SAD_IMAGE } from \"./images.ts\";\nimport {\n FORECAST_HOURS,\n LATITUDE,\n LONGITUDE,\n RAIN_MM_THRESHOLD,\n RAIN_PROBABILITY_THRESHOLD,\n TIMEZONE,\n UTC_OFFSET,\n} from \"./config.ts\";\nimport { addTextToImage, pngToRaw1bpp } from \"./addText.ts\";\n\ninterface WeatherResult {\n showRain: boolean;\n hoursUntilRain: number | null;\n totalMm: number;\n}\n\nasync function getWeather(): Promise {\n const res = await fetch(\n `https://api.open-meteo.com/v1/forecast?latitude=${LATITUDE}&longitude=${LONGITUDE}&hourly=precipitation,precipitation_probability&timezone=${\n encodeURIComponent(TIMEZONE)\n }&forecast_days=3`,\n );\n const data = await res.json();\n const now = new Date();\n const cutoff = new Date(now.getTime() + FORECAST_HOURS * 60 * 60 * 1000);\n\n let showRain = false;\n let hoursUntilRain: number | null = null;\n let totalMm = 0;\n\n for (let i = 0; i < data.hourly.time.length; i++) {\n const t = new Date(data.hourly.time[i] + UTC_OFFSET);\n if (t >= now && t <= cutoff) {\n totalMm += data.hourly.precipitation[i];\n if (\n !showRain &&\n data.hourly.precipitation[i] >= RAIN_MM_THRESHOLD &&\n data.hourly.precipitation_probability[i] > RAIN_PROBABILITY_THRESHOLD\n ) {\n showRain = true;\n }\n if (\n hoursUntilRain === null &&\n data.hourly.precipitation_probability[i] > RAIN_PROBABILITY_THRESHOLD\n ) {\n hoursUntilRain = Math.round(\n (t.getTime() - now.getTime()) / (60 * 60 * 1000),\n );\n }\n }\n }\n\n return { showRain, hoursUntilRain, totalMm };\n}\n\nfunction formatLabel(hoursUntilRain: number | null, totalMm: number): string {\n const h = hoursUntilRain;\n const mm = Math.round(totalMm);\n return ` 🕥 ${h}h (>10%) 🌧 ${mm}mm (30h)`;\n}\n\nexport default async function (req: Request): Promise {\n const { showRain, hoursUntilRain, totalMm } = await getWeather();\n const b64 = showRain ? SAD_IMAGE : HAPPY_IMAGE;\n const binary = atob(b64);\n let bytes = new Uint8Array(binary.length);\n for (let i = 0; i < binary.length; i++) bytes[i] = binary.charCodeAt(i);\n bytes = addTextToImage(bytes, formatLabel(hoursUntilRain, totalMm));\n if (new URL(req.url).searchParams.get(\"raw\") === \"1\") {\n return new Response(pngToRaw1bpp(bytes), {\n headers: { \"Content-Type\": \"application/octet-stream\", \"Cache-Control\": \"no-store\" },\n });\n }\n return new Response(bytes, {\n headers: { \"Content-Type\": \"image/png\", \"Cache-Control\": \"no-store\" },\n });\n}","createdAt",["D",1781074111520],"branchVersion","branchId","cbd81d2c-60b9-4f57-89b8-c49519079f8b","id","2465ff84-e9bc-4ea5-8941-ea6f4f6e6e28","brisbane-epaper-weather",["D",1781064458356],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","200x200 B&W PNG: happy+sun or sad+rain (Brisbane weather)","imageUrl","4db3f830-ed88-11ef-af12-67b5d5b0b458","pinnedFileId","pinPreview","pinMigrated","screenshotVersion","likeCount",0,"orgId","cb7b2477-c553-49c6-8b61-46c7636e96e5","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_95":94,"_102":98},"org",{"_95":94,"_96":-5,"_97":98,"_18":55,"_99":100,"_101":25},"branch",{"_13":84,"_32":85,"_43":42,"_86":44,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":45,"_93":94},"isOwned",49,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","haydster7","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvb2F1dGhfZ2l0aHViL2ltZ18ydEJwcHozek1iZ2ljTTNtcE5sa0NoUDZ5MzcifQ","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_43":44,"_32":45,"_38":189,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":-5,"_57":25,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":190,"_79":191,"_81":192,"_83":25},"tree",[172,173,174,175],"files",[172,173,174,175],"counts",{"_161":61,"_162":163,"_164":61,"_165":166,"_167":168},"contents",[126,127,128,129],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles",true,"grants","orgs","customDomains",{},{"_43":153,"_32":154,"_30":155,"_131":-5,"_41":42,"_40":156,"_132":121,"_38":157,"_13":158,"_33":143,"_35":159,"_24":25,"_135":-5,"_27":160},{"_43":146,"_32":147,"_30":148,"_131":-5,"_41":42,"_40":149,"_132":121,"_38":150,"_13":61,"_33":143,"_35":151,"_24":25,"_135":-5,"_27":152},{"_43":137,"_32":138,"_30":139,"_131":-5,"_41":42,"_40":140,"_132":121,"_38":141,"_13":142,"_33":143,"_35":144,"_24":25,"_135":-5,"_27":145},{"_43":130,"_32":28,"_30":31,"_131":-5,"_41":42,"_40":14,"_132":25,"_38":133,"_13":134,"_33":34,"_35":37,"_24":25,"_135":-5,"_27":136},"da697ec5-4e01-4375-b303-a5425810428e","parentId","latest",["D",1781074111520],18,"label",[28],"74baa51a-f469-40f5-84c3-20395e5dd70b","images.ts","3ca874ae-6487-11f1-9984-1607ee4eb77e",26,["D",1781072449633],5,"script","export const HAPPY_IMAGE =\n 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`;\nexport const SAD_IMAGE =\n `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`;\nexport const SMALL_IMAGE = ``;",[138],"acd53a03-9d5b-4588-aa3c-6d7cd7b78506","config.ts","776a6d80-6488-11f1-beee-1607ee4eb77e",9,["D",1781067270692],"export const LATITUDE = -27.4698;\nexport const LONGITUDE = 153.0251;\nexport const TIMEZONE = \"Australia/Brisbane\";\nexport const UTC_OFFSET = \"+10:00\";\n\nexport const FORECAST_HOURS = 30;\nexport const RAIN_MM_THRESHOLD = 2;\nexport const RAIN_PROBABILITY_THRESHOLD = 10;\n",[147],"51049c37-57aa-4055-b935-34322e8b5b47","addText.ts","a998a06a-648d-11f1-9554-1607ee4eb77e",41,["D",1781074069103],15,"import { PNG } from \"npm:pngjs\";\nimport { Buffer } from \"node:buffer\";\n\n// 5×10 bitmap font — row-major, 10 rows per char, each row is a 5-bit column mask\n// bit 4 = leftmost column, bit 0 = rightmost column\nconst FONT: Record = {\n \" \": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n \"!\": [4, 4, 4, 4, 4, 4, 4, 0, 4, 0],\n \"%\": [24, 25, 2, 2, 4, 4, 8, 8, 19, 3],\n \")\": [4, 2, 1, 1, 1, 1, 1, 1, 2, 4],\n \"(\": [4, 8, 16, 16, 16, 16, 16, 16, 8, 4],\n \"+\": [0, 0, 4, 4, 31, 4, 4, 0, 0, 0],\n \",\": [0, 0, 0, 0, 0, 0, 0, 6, 4, 8],\n \"-\": [0, 0, 0, 0, 14, 14, 0, 0, 0, 0],\n \".\": [0, 0, 0, 0, 0, 0, 0, 0, 6, 6],\n \"/\": [0, 16, 16, 8, 4, 4, 2, 1, 1, 0],\n \"0\": [14, 17, 17, 17, 17, 17, 17, 17, 17, 14],\n \"1\": [4, 12, 4, 4, 4, 4, 4, 4, 4, 14],\n \"2\": [14, 17, 1, 1, 2, 4, 8, 16, 16, 31],\n \"3\": [14, 17, 1, 1, 6, 1, 1, 1, 17, 14],\n \"4\": [2, 6, 10, 18, 18, 31, 2, 2, 2, 2],\n \"5\": [31, 16, 16, 16, 30, 1, 1, 1, 17, 14],\n \"6\": [14, 16, 16, 16, 30, 17, 17, 17, 17, 14],\n \"7\": [31, 1, 1, 2, 2, 4, 4, 8, 8, 8],\n \"8\": [14, 17, 17, 17, 14, 17, 17, 17, 17, 14],\n \"9\": [14, 17, 17, 17, 15, 1, 1, 1, 17, 14],\n \":\": [0, 6, 6, 0, 0, 0, 6, 6, 0, 0],\n \"<\": [8, 4, 2, 1, 0, 0, 1, 2, 4, 8],\n \"=\": [0, 0, 31, 0, 0, 31, 0, 0, 0, 0],\n \">\": [16, 8, 4, 2, 1, 1, 2, 4, 8, 16],\n \"?\": [14, 17, 16, 8, 4, 4, 0, 0, 4, 0],\n \"A\": [4, 10, 17, 17, 17, 31, 17, 17, 17, 17],\n \"B\": [30, 17, 17, 17, 30, 17, 17, 17, 17, 30],\n \"C\": [14, 17, 16, 16, 16, 16, 16, 16, 17, 14],\n \"D\": [30, 17, 17, 17, 17, 17, 17, 17, 17, 30],\n \"E\": [31, 16, 16, 16, 31, 16, 16, 16, 16, 31],\n \"F\": [31, 16, 16, 16, 31, 16, 16, 16, 16, 16],\n \"G\": [14, 17, 16, 16, 16, 23, 17, 17, 17, 14],\n \"H\": [17, 17, 17, 17, 31, 17, 17, 17, 17, 17],\n \"I\": [14, 4, 4, 4, 4, 4, 4, 4, 4, 14],\n \"J\": [15, 1, 1, 1, 1, 1, 1, 17, 17, 14],\n \"K\": [17, 18, 20, 24, 16, 24, 20, 18, 17, 17],\n \"L\": [16, 16, 16, 16, 16, 16, 16, 16, 16, 31],\n \"M\": [17, 27, 21, 21, 17, 17, 17, 17, 17, 17],\n \"N\": [17, 25, 21, 19, 17, 17, 17, 17, 17, 17],\n \"O\": [14, 17, 17, 17, 17, 17, 17, 17, 17, 14],\n \"P\": [30, 17, 17, 17, 30, 16, 16, 16, 16, 16],\n \"Q\": [14, 17, 17, 17, 17, 17, 17, 21, 19, 14],\n \"R\": [30, 17, 17, 17, 30, 20, 18, 17, 17, 17],\n \"S\": [14, 17, 16, 16, 14, 1, 1, 1, 17, 14],\n \"T\": [31, 4, 4, 4, 4, 4, 4, 4, 4, 4],\n \"U\": [17, 17, 17, 17, 17, 17, 17, 17, 17, 14],\n \"V\": [17, 17, 17, 17, 17, 17, 10, 10, 4, 4],\n \"W\": [17, 17, 17, 17, 21, 21, 21, 10, 10, 10],\n \"X\": [17, 17, 10, 10, 4, 4, 10, 10, 17, 17],\n \"Y\": [17, 17, 10, 10, 4, 4, 4, 4, 4, 4],\n \"Z\": [31, 1, 1, 2, 2, 4, 4, 8, 8, 31],\n \"[\": [28, 16, 16, 16, 16, 16, 16, 16, 16, 28],\n \"]\": [7, 1, 1, 1, 1, 1, 1, 1, 1, 7],\n \"_\": [0, 0, 0, 0, 0, 0, 0, 0, 0, 31],\n // 10px-wide icons (U+1F327 = cloud+rain, U+1F565 = clock) — 10-bit row masks\n \"\\u{1F327}\": [206, 369, 257, 254, 0, 146, 146, 292, 292, 584],\n \"\\u{1F565}\": [1022, 546, 642, 578, 806, 578, 642, 546, 1022, 0],\n};\n\nconst CHAR_W = 5; // default width for ASCII chars\nconst CHAR_H = 10;\nconst CHAR_GAP = 1;\n\n// Characters wider than CHAR_W\nconst WIDTHS: Record = {\n \"\\u{1F327}\": 10,\n \"\\u{1F565}\": 10,\n};\n\nfunction charWidth(ch: string): number {\n return WIDTHS[ch] ?? CHAR_W;\n}\n\nconst RECT_X1 = 8;\nconst RECT_Y1 = 179;\nconst RECT_X2 = 193;\nconst RECT_Y2 = 193; // exclusive — covers rows 179-192\n\n// 2px top margin → TEXT_Y = 181, chars occupy rows 181-190, 2px bottom margin\nconst TEXT_Y = RECT_Y1 + 2;\n\nfunction drawChar(\n d: Uint8Array,\n imgW: number,\n x: number,\n y: number,\n ch: string,\n): void {\n const cw = charWidth(ch);\n const rows = FONT[ch.toUpperCase()] ?? FONT[ch] ?? FONT[\" \"];\n for (let row = 0; row < CHAR_H; row++) {\n const mask = rows[row];\n for (let col = 0; col < cw; col++) {\n if (mask & (1 << (cw - 1 - col))) {\n const i = ((y + row) * imgW + (x + col)) * 4;\n if (i >= 0 && i + 3 < d.length) {\n d[i] = d[i + 1] = d[i + 2] = 0;\n d[i + 3] = 255;\n }\n }\n }\n }\n}\n\n// Returns packed 1bpp bitmap (1=white, 0=black, MSB-first) for direct EPD RAM write.\nexport function pngToRaw1bpp(pngBytes: Uint8Array): Uint8Array {\n const png = PNG.sync.read(Buffer.from(pngBytes));\n const out = new Uint8Array((png.width * png.height) >> 3);\n const d = png.data as unknown as Uint8Array;\n for (let y = 0; y < png.height; y++) {\n for (let x = 0; x < png.width; x++) {\n const isWhite = d[(y * png.width + x) * 4] > 128;\n if (isWhite) {\n const bit = y * png.width + x;\n out[bit >> 3] |= 1 << (7 - (bit & 7));\n }\n }\n }\n return out;\n}\n\nexport function addTextToImage(\n imageBytes: Uint8Array,\n text: string,\n): Uint8Array {\n const png = PNG.sync.read(Buffer.from(imageBytes));\n const d = png.data as unknown as Uint8Array;\n\n let cx = RECT_X1 + 2;\n for (const ch of text) {\n const cw = charWidth(ch);\n if (cx + cw > RECT_X2) break;\n drawChar(d, png.width, cx, TEXT_Y, ch);\n cx += cw + CHAR_GAP;\n }\n\n return new Uint8Array(PNG.sync.write(png));\n}",[154],"pulls","branches",1,"forks","envVars",{"_169":61,"_171":61},"connections",{"_169":61,"_170":61},"count","unfilledCount","emptyCount",{"_43":153,"_32":154,"_30":155,"_131":-5,"_41":42,"_40":156,"_132":121,"_38":186,"_13":158,"_33":143,"_35":159,"_24":25,"_135":-5,"_177":187,"_27":188},{"_43":146,"_32":147,"_30":148,"_131":-5,"_41":42,"_40":149,"_132":121,"_38":183,"_13":61,"_33":143,"_35":151,"_24":25,"_135":-5,"_177":184,"_27":185},{"_43":137,"_32":138,"_30":139,"_131":-5,"_41":42,"_40":140,"_132":121,"_38":180,"_13":142,"_33":143,"_35":144,"_24":25,"_135":-5,"_177":181,"_27":182},{"_43":130,"_32":28,"_30":31,"_131":-5,"_41":42,"_40":14,"_132":25,"_38":176,"_13":134,"_33":34,"_35":37,"_24":25,"_135":-5,"_177":178,"_27":179},["D",1781074111520],"children",[],[28],["D",1781072449633],[],[138],["D",1781067270692],[],[147],["D",1781074069103],[],[154],["D",1781064458356],{"_95":94,"_102":98},{"_95":94,"_96":-5,"_97":98,"_18":55,"_99":100,"_101":25},{"_13":84,"_32":85,"_43":42,"_86":44,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":45,"_93":94},"ctx",{"_77":-5,"_123":226,"_227":228,"_229":230,"_231":25,"_232":25,"_233":25,"_234":121,"_235":-5,"_236":-7,"_237":-7,"_238":61,"_239":25,"_240":25,"_241":-5,"_242":25,"_243":25,"_244":25,"_245":-5},"ENV",{"_197":198,"_199":200,"_201":85,"_202":203,"_204":205,"_206":207,"_208":209,"_210":211,"_212":213,"_214":215,"_216":217,"_218":219,"_220":221,"_222":223,"_224":225},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","518c05f2c13b243481ef29134a5672756425e459","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 · v42