[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_192":193,"_194":195},"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",24,"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","addText.ts","latestPath","fileId","a998a06a-648d-11f1-9554-1607ee4eb77e","name","fileType","script","content","import { PNG } from \"npm:pngjs\";\nimport jpegjs from \"npm:jpeg-js\";\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(d: Uint8Array, imgW: number, x: number, y: number, ch: string): void {\n const rows = FONT[ch.toUpperCase()] ?? FONT[\" \"];\n for (let row = 0; row < CHAR_H; row++) {\n const mask = rows[row];\n for (let col = 0; col < CHAR_W; col++) {\n if (mask & (1 << (CHAR_W - 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\nfunction clearRect(d: Uint8Array, imgW: number): void {\n for (let row = RECT_Y1; row < RECT_Y2; row++) {\n for (let col = RECT_X1; col < RECT_X2; col++) {\n const i = (row * imgW + col) * 4;\n d[i] = d[i + 1] = d[i + 2] = 255;\n d[i + 3] = 255;\n }\n }\n}\n\nexport function addTextToImage(imageBytes: Uint8Array, text: string): Uint8Array {\n // Decode JPEG to raw RGBA pixels\n const decoded = jpegjs.decode(Buffer.from(imageBytes), { useTArray: true });\n const d = decoded.data as Uint8Array;\n\n clearRect(d, decoded.width);\n let cx = RECT_X1 + 2;\n for (const ch of text) {\n if (cx + CHAR_W > RECT_X2) break;\n drawChar(d, decoded.width, cx, TEXT_Y, ch);\n cx += CHAR_W + CHAR_GAP;\n }\n\n // Re-encode as PNG\n const png = new PNG({ width: decoded.width, height: decoded.height });\n png.data = Buffer.from(d);\n return new Uint8Array(PNG.sync.write(png));\n}\n","import { PNG } from \"npm:pngjs\";\nimport jpegjs from \"npm:jpeg-js\";\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(d: Uint8Array, imgW: number, x: number, y: number, ch: string): 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\nfunction clearRect(d: Uint8Array, imgW: number): void {\n for (let row = RECT_Y1; row < RECT_Y2; row++) {\n for (let col = RECT_X1; col < RECT_X2; col++) {\n const i = (row * imgW + col) * 4;\n d[i] = d[i + 1] = d[i + 2] = 255;\n d[i + 3] = 255;\n }\n }\n}\n\nexport function addTextToImage(imageBytes: Uint8Array, text: string): Uint8Array {\n // Decode JPEG to raw RGBA pixels\n const decoded = jpegjs.decode(Buffer.from(imageBytes), { useTArray: true });\n const d = decoded.data as Uint8Array;\n\n clearRect(d, decoded.width);\n let cx = RECT_X1 + 2;\n for (const ch of text) {\n if (cx + CHAR_W > RECT_X2) break;\n drawChar(d, decoded.width, cx, TEXT_Y, ch);\n cx += CHAR_W + CHAR_GAP;\n }\n\n // Re-encode as PNG\n const png = new PNG({ width: decoded.width, height: decoded.height });\n png.data = Buffer.from(d);\n return new Uint8Array(PNG.sync.write(png));\n}\n","createdAt",["D",1781071996643],"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":188,"_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":189,"_79":190,"_81":191,"_83":25},"tree",[171,172,173,174],"files",[171,172,173,174],"counts",{"_160":61,"_161":162,"_163":61,"_164":165,"_166":167},"contents",[126,127,128,129],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles",true,"grants","orgs","customDomains",{},{"_43":157,"_32":28,"_30":31,"_133":-5,"_41":42,"_40":14,"_135":25,"_38":158,"_13":153,"_33":34,"_35":37,"_24":25,"_140":-5,"_27":159},{"_43":150,"_32":151,"_30":152,"_133":-5,"_41":42,"_40":153,"_135":121,"_38":154,"_13":61,"_33":34,"_35":155,"_24":25,"_140":-5,"_27":156},{"_43":142,"_32":143,"_30":144,"_133":-5,"_41":42,"_40":145,"_135":25,"_38":146,"_13":147,"_33":34,"_35":148,"_24":25,"_140":-5,"_27":149},{"_43":130,"_32":131,"_30":132,"_133":-5,"_41":42,"_40":134,"_135":25,"_38":136,"_13":137,"_33":138,"_35":139,"_24":25,"_140":-5,"_27":141},"ecdca81f-d26d-4bfa-9d66-cf4473cbeb6a","main.ts","eb262fb8-6481-11f1-b247-1607ee4eb77e","parentId",21,"latest",["D",1781071663869],7,"http","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 } 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=${encodeURIComponent(TIMEZONE)}&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 (hoursUntilRain === null && data.hourly.precipitation_probability[i] > RAIN_PROBABILITY_THRESHOLD) {\n hoursUntilRain = Math.round((t.getTime() - now.getTime()) / (60 * 60 * 1000));\n }\n }\n }\n\n return { showRain, hoursUntilRain, totalMm };\n}\n\nfunction formatLabel(hoursUntilRain: number | null, totalMm: number): string {\n const h = hoursUntilRain === null\n ? \">30\"\n : hoursUntilRain < 10\n ? ` ${hoursUntilRain}`\n : `${Math.min(hoursUntilRain, 99)}`;\n const mm = Math.round(totalMm);\n return ` ${h}h [] [] ${mm}mm`;\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}\n","label",[131],"af109e76-0efb-495f-8730-edf603aa9d01","images.ts","3ca874ae-6487-11f1-9984-1607ee4eb77e",11,["D",1781068477944],4,"export const HAPPY_IMAGE =\n 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`;\nexport const SAD_IMAGE =\n `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`;\nexport const SMALL_IMAGE = ``;",[143],"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",[151],"9b7a9284-8280-41ac-a41f-a1bb999a120b",["D",1781071996643],[28],"pulls","branches",1,"forks","envVars",{"_168":61,"_170":61},"connections",{"_168":61,"_169":61},"count","unfilledCount","emptyCount",{"_43":157,"_32":28,"_30":31,"_133":-5,"_41":42,"_40":14,"_135":25,"_38":185,"_13":153,"_33":34,"_35":37,"_24":25,"_140":-5,"_176":186,"_27":187},{"_43":150,"_32":151,"_30":152,"_133":-5,"_41":42,"_40":153,"_135":121,"_38":182,"_13":61,"_33":34,"_35":155,"_24":25,"_140":-5,"_176":183,"_27":184},{"_43":142,"_32":143,"_30":144,"_133":-5,"_41":42,"_40":145,"_135":25,"_38":179,"_13":147,"_33":34,"_35":148,"_24":25,"_140":-5,"_176":180,"_27":181},{"_43":130,"_32":131,"_30":132,"_133":-5,"_41":42,"_40":134,"_135":25,"_38":175,"_13":137,"_33":138,"_35":139,"_24":25,"_140":-5,"_176":177,"_27":178},["D",1781071663869],"children",[],[131],["D",1781068477944],[],[143],["D",1781067270692],[],[151],["D",1781071996643],[],[28],["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":225,"_226":227,"_228":229,"_230":25,"_231":25,"_232":25,"_233":121,"_234":-5,"_235":-7,"_236":-7,"_237":61,"_238":25,"_239":25,"_240":-5,"_241":25,"_242":25,"_243":25,"_244":-5},"ENV",{"_196":197,"_198":199,"_200":85,"_201":202,"_203":204,"_205":206,"_207":208,"_209":210,"_211":212,"_213":214,"_215":216,"_217":218,"_219":220,"_221":222,"_223":224},"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 · v24