[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_1832":1833,"_1834":1835},"routes/_app.x.$handle.$name",{"_96":95,"_31":43,"_104":86,"_26":51,"_13":14,"_105":-5,"_11":106,"_107":108,"_109":110,"_111":112,"_113":114,"_20":-5,"_115":-5,"_116":-5,"_117":24,"_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",{"_41":42,"_31":43,"_36":44,"_45":-5,"_46":24,"_47":48,"_49":48,"_50":51,"_52":-5,"_18":53,"_54":-5,"_55":24,"_56":-5,"_57":-5,"_58":59,"_60":61,"_62":63,"_64":65,"_66":67,"_68":-5,"_69":70,"_71":70,"_72":73,"_74":73,"_75":73,"_76":70,"_77":70,"_78":79,"_80":81,"_82":83,"_84":24},"version",601,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":-7,"_23":24,"_25":24,"_26":27,"_28":27},"file",{"_29":30,"_31":32,"_33":20,"_34":35,"_36":37,"_38":14,"_39":40,"_23":24},"previous","deleted",false,"deletedHere","path",".git/hooks/push-to-checkout.sample","latestPath","fileId","a7442748-fadf-11f0-9997-42dde27851f2","name","push-to-checkout.sample","fileType","content","#!/bin/sh\n\n# An example hook script to update a checked-out tree on a git push.\n#\n# This hook is invoked by git-receive-pack(1) when it reacts to git\n# push and updates reference(s) in its repository, and when the push\n# tries to update the branch that is currently checked out and the\n# receive.denyCurrentBranch configuration variable is set to\n# updateInstead.\n#\n# By default, such a push is refused if the working tree and the index\n# of the remote repository has any difference from the currently\n# checked out commit; when both the working tree and the index match\n# the current commit, they are updated to match the newly pushed tip\n# of the branch. This hook is to be used to override the default\n# behaviour; however the code below reimplements the default behaviour\n# as a starting point for convenient modification.\n#\n# The hook receives the commit with which the tip of the current\n# branch is going to be updated:\ncommit=$1\n\n# It can exit with a non-zero status to refuse the push (when it does\n# so, it must not modify the index or the working tree).\ndie () {\n\techo >&2 \"$*\"\n\texit 1\n}\n\n# Or it can make any necessary changes to the working tree and to the\n# index to bring them to the desired state when the tip of the current\n# branch is updated to the new commit, and exit with a zero status.\n#\n# For example, the hook can simply run git read-tree -u -m HEAD \"$1\"\n# in order to emulate git fetch that is run in the reverse direction\n# with git push, as the two-tree form of git read-tree -u -m is\n# essentially the same as git switch or git checkout that switches\n# branches while keeping the local changes in the working tree that do\n# not interfere with the difference between the branches.\n\n# The below is a more-or-less exact translation to shell of the C code\n# for the default behaviour for git's push-to-checkout hook defined in\n# the push_to_deploy() function in builtin/receive-pack.c.\n#\n# Note that the hook will be executed from the repository directory,\n# not from the working tree, so if you want to perform operations on\n# the working tree, you will have to adapt your code accordingly, e.g.\n# by adding \"cd ..\" or using relative paths.\n\nif ! git update-index -q --ignore-submodules --refresh\nthen\n\tdie \"Up-to-date check failed\"\nfi\n\nif ! git diff-files --quiet --ignore-submodules --\nthen\n\tdie \"Working directory has unstaged changes\"\nfi\n\n# This is a rough translation of:\n#\n# head_has_history() ? \"HEAD\" : EMPTY_TREE_SHA1_HEX\nif git cat-file -e HEAD 2>/dev/null\nthen\n\thead=HEAD\nelse\n\thead=$(git hash-object -t tree --stdin {\n const rollup: WeeklyRollup = {\n category: \"food\",\n periodStart: \"2026-01-01\",\n periodEnd: \"2026-01-07\",\n streak: 3,\n completionRate: 57,\n xp: 12,\n badges: [\"A\"],\n stats: { totalEntries: 4 },\n runId: \"food-2026-01-01-2026-01-07\",\n };\n const createdAt = \"2026-01-08T00:00:00.000Z\";\n const query = buildUpsertWeeklyRollupQuery(rollup, createdAt);\n assertEquals(query.sql.startsWith(\"INSERT OR REPLACE\"), true);\n assertEquals(query.args[8], rollup.runId);\n assertEquals(query.args[9], createdAt);\n});\n",[],[181,452],"65de0ac6-fadf-11f0-9be4-42dde27851f2","notion_weekly_report.test.ts","46d7e2ba-f0ca-11f0-b918-42dde27851f2",426,["D",1769449784204],16,"import {\n buildBadges,\n buildEncouragement,\n buildBloodSugarRollup,\n calculateXp,\n formatCreatedTime,\n formatGroupedEntryLine,\n groupEntriesByDate,\n hasPerfectWeekStreak,\n type Entry,\n} from \"../shared/blood_sugar_logic.ts\";\nimport { calculateCurrentStreak, countEntriesByDate, listDateRange } from \"../shared/date.ts\";\nimport { assertEquals, assertStringIncludes } from \"https://deno.land/std@0.224.0/assert/mod.ts\";\n\nDeno.test(\"listDateRange returns inclusive dates\", () => {\n const dates = listDateRange(\"2026-01-01\", \"2026-01-03\");\n assertEquals(dates, [\"2026-01-01\", \"2026-01-02\", \"2026-01-03\"]);\n});\n\nDeno.test(\"calculateCurrentStreak counts trailing days with entries\", () => {\n const range = [\"2026-01-01\", \"2026-01-02\", \"2026-01-03\", \"2026-01-04\"];\n const counts = { \"2026-01-02\": 1, \"2026-01-03\": 2, \"2026-01-04\": 1 };\n const streak = calculateCurrentStreak(range, counts);\n assertEquals(streak, 3);\n});\n\nDeno.test(\"calculateCurrentStreak stops at first missing day\", () => {\n const range = [\"2026-01-01\", \"2026-01-02\", \"2026-01-03\"];\n const counts = { \"2026-01-01\": 1, \"2026-01-03\": 1 };\n const streak = calculateCurrentStreak(range, counts);\n assertEquals(streak, 1);\n});\n\nDeno.test(\"countEntriesByDate aggregates by date\", () => {\n const entries: Entry[] = [\n { date: \"2026-01-01\", createdTime: null, value: 90 },\n { date: \"2026-01-01\", createdTime: null, value: 95 },\n { date: \"2026-01-02\", createdTime: null, value: 100 },\n ];\n assertEquals(countEntriesByDate(entries), { \"2026-01-01\": 2, \"2026-01-02\": 1 });\n});\n\nDeno.test(\"buildBadges awards consistency and healthy average\", () => {\n const range = [\n \"2026-01-01\",\n \"2026-01-02\",\n \"2026-01-03\",\n \"2026-01-04\",\n \"2026-01-05\",\n \"2026-01-06\",\n \"2026-01-07\",\n ];\n const counts = {\n \"2026-01-01\": 2,\n \"2026-01-02\": 2,\n \"2026-01-03\": 2,\n \"2026-01-04\": 2,\n \"2026-01-05\": 2,\n \"2026-01-06\": 2,\n \"2026-01-07\": 2,\n };\n const badges = buildBadges(range, counts, 14, 95, true);\n assertEquals(badges.includes(\"Cage Match: Double-Check Champion\"), true);\n assertEquals(badges.includes(\"National Treasure: Healthy Average\"), true);\n});\n\nDeno.test(\"buildEncouragement returns positive message\", () => {\n const message = buildEncouragement(85, 2);\n assertStringIncludes(message, \"Great\");\n});\n\nDeno.test(\"hasPerfectWeekStreak requires two entries per day\", () => {\n const range = [\n \"2026-01-01\",\n \"2026-01-02\",\n \"2026-01-03\",\n \"2026-01-04\",\n \"2026-01-05\",\n \"2026-01-06\",\n \"2026-01-07\",\n ];\n const counts = {\n \"2026-01-01\": 2,\n \"2026-01-02\": 2,\n \"2026-01-03\": 2,\n \"2026-01-04\": 2,\n \"2026-01-05\": 2,\n \"2026-01-06\": 2,\n \"2026-01-07\": 1,\n };\n assertEquals(hasPerfectWeekStreak(range, counts), false);\n});\n\nDeno.test(\"calculateXp applies streak and healthy average bonuses\", () => {\n const xp = calculateXp(14, 95, true);\n assertEquals(xp, 242);\n});\n\n// Boundary check: average at threshold should not get the healthy bonus.\nDeno.test(\"calculateXp does not apply healthy bonus at threshold\", () => {\n const xp = calculateXp(10, 100, true);\n assertEquals(xp, 144);\n});\n\n// Ensure minimum thresholds gate badges.\nDeno.test(\"buildBadges respects minimum thresholds\", () => {\n const range = [\"2026-01-01\", \"2026-01-02\", \"2026-01-03\", \"2026-01-04\", \"2026-01-05\", \"2026-01-06\", \"2026-01-07\"];\n const counts = Object.fromEntries(range.map((date) => [date, 2]));\n const badges = buildBadges(range, counts, 6, 110, false);\n assertEquals(badges.includes(\"Mandy-Mode Consistency\"), false);\n assertEquals(badges.includes(\"Cage Match: Double-Check Champion\"), false);\n});\n\n// Perfect week requires 2+ entries every day in a 7-day window.\nDeno.test(\"hasPerfectWeekStreak returns true for full week\", () => {\n const range = [\"2026-01-01\", \"2026-01-02\", \"2026-01-03\", \"2026-01-04\", \"2026-01-05\", \"2026-01-06\", \"2026-01-07\"];\n const counts = Object.fromEntries(range.map((date) => [date, 2]));\n assertEquals(hasPerfectWeekStreak(range, counts), true);\n});\n\nDeno.test(\"formatCreatedTime extracts time from Notion-style string\", () => {\n const formatted = formatCreatedTime(\"January 13, 2026 6:33 PM\");\n assertEquals(formatted, \"6:33 PM\");\n});\n\nDeno.test(\"formatCreatedTime formats ISO timestamps\", () => {\n const formatted = formatCreatedTime(\"2026-01-13T18:33:00.000Z\");\n assertEquals(formatted, \"1:33 PM\");\n});\n\nDeno.test(\"formatGroupedEntryLine orders entries by time\", () => {\n const entries: Entry[] = [\n { date: \"2026-01-01\", createdTime: \"6:30 PM\", value: 110 },\n { date: \"2026-01-01\", createdTime: \"6:30 AM\", value: 90 },\n ];\n const grouped = groupEntriesByDate(entries, [\"2026-01-01\"]);\n const line = formatGroupedEntryLine(grouped[0]);\n assertEquals(line, \"2026-01-01 | 1st: 90 | 2nd: 110\");\n});\n\nDeno.test(\"buildBloodSugarRollup uses deterministic runId and stats\", () => {\n const entries: Entry[] = [\n { date: \"2026-01-01\", createdTime: \"7:00 AM\", value: 90 },\n { date: \"2026-01-01\", createdTime: \"7:00 PM\", value: 100 },\n ];\n const rollup = buildBloodSugarRollup(entries, \"2026-01-01\", \"2026-01-07\");\n assertEquals(rollup.category, \"blood_sugar\");\n assertEquals(rollup.runId, \"blood_sugar-2026-01-01-2026-01-07\");\n assertEquals(rollup.stats.totalEntries, 2);\n assertEquals(rollup.stats.entriesByDate[\"2026-01-01\"], 2);\n});\n",[],[181,461],"0452ba82-f31d-11f0-9bc9-42dde27851f2","monthly_report.test.ts","0452bb22-f31d-11f0-9bc9-42dde27851f2",331,["D",1768596640052],"import {\n aggregateBloodSugarMonth,\n aggregateFoodMonth,\n resolveMonthRange,\n type Rollup,\n} from \"../shared/monthly_report.ts\";\nimport { assertEquals } from \"https://deno.land/std@0.224.0/assert/mod.ts\";\n\n// Overlapping rollups should not double-count entries by date.\nDeno.test(\"aggregateFoodMonth de-dupes overlapping entriesByDate\", () => {\n const rollups: Rollup[] = [\n {\n category: \"food\",\n periodStart: \"2026-01-01\",\n periodEnd: \"2026-01-07\",\n streak: 2,\n completionRate: 50,\n xp: 0,\n badges: [],\n stats: { entriesByDate: { \"2026-01-02\": 1 } },\n runId: \"food-2026-01-01-2026-01-07\",\n },\n {\n category: \"food\",\n periodStart: \"2026-01-05\",\n periodEnd: \"2026-01-11\",\n streak: 1,\n completionRate: 40,\n xp: 0,\n badges: [],\n stats: { entriesByDate: { \"2026-01-02\": 1, \"2026-01-06\": 2 } },\n runId: \"food-2026-01-05-2026-01-11\",\n },\n ];\n const summary = aggregateFoodMonth(rollups, \"2026-01-01\", \"2026-01-31\", {\n includePartialWeeks: true,\n });\n assertEquals(summary.entriesByDate[\"2026-01-02\"], 1);\n assertEquals(summary.entriesByDate[\"2026-01-06\"], 2);\n assertEquals(summary.totalEntries, 3);\n});\n\n// Monthly aggregation should compute weighted averages and totals.\nDeno.test(\"aggregateBloodSugarMonth computes weighted average and totals\", () => {\n const rollups: Rollup[] = [\n {\n category: \"blood_sugar\",\n periodStart: \"2026-01-01\",\n periodEnd: \"2026-01-07\",\n streak: 3,\n completionRate: 70,\n xp: 120,\n badges: [\"A\"],\n stats: {\n entriesByDate: { \"2026-01-01\": 2 },\n avg: 90,\n min: 80,\n max: 110,\n totalEntries: 2,\n },\n runId: \"blood_sugar-2026-01-01-2026-01-07\",\n },\n {\n category: \"blood_sugar\",\n periodStart: \"2026-01-08\",\n periodEnd: \"2026-01-14\",\n streak: 1,\n completionRate: 50,\n xp: 60,\n badges: [\"B\"],\n stats: {\n entriesByDate: { \"2026-01-08\": 2 },\n avg: 110,\n min: 85,\n max: 130,\n totalEntries: 2,\n },\n runId: \"blood_sugar-2026-01-08-2026-01-14\",\n },\n ];\n const summary = aggregateBloodSugarMonth(rollups, \"2026-01-01\", \"2026-01-31\");\n assertEquals(summary.totalEntries, 4);\n assertEquals(summary.average, 100);\n assertEquals(summary.min, 80);\n assertEquals(summary.max, 130);\n assertEquals(summary.xp, 180);\n});\n\nDeno.test(\"resolveMonthRange defaults to previous month\", () => {\n const now = new Date(\"2026-02-15T10:00:00.000Z\");\n const range = resolveMonthRange(null, now);\n assertEquals(range.start, \"2026-01-01\");\n assertEquals(range.end, \"2026-01-31\");\n});\n",[],[181,470],"dc4d3266-f311-11f0-b56a-42dde27851f2","food_report.test.ts","e01ea7f2-f308-11f0-8ecb-42dde27851f2",328,["D",1768591848438],7,"import {\n buildNutritionProperties,\n buildNutritionPrompt,\n coerceMacros,\n coerceNumber,\n extractFoodName,\n extractMacros,\n parseEntry,\n PROPERTY_NAMES,\n roundNumber,\n safeParseJson,\n shouldEnrich,\n type Entry,\n buildFoodRollup,\n} from \"../shared/food_enrich.ts\";\nimport { assert, assertEquals, assertStringIncludes } from \"https://deno.land/std@0.224.0/assert/mod.ts\";\n\nDeno.test(\"extractFoodName handles title and rich text\", () => {\n const titleName = extractFoodName({\n title: [{ plain_text: \"cheese omelette\" }],\n });\n assertEquals(titleName, \"cheese omelette\");\n\n const richTextName = extractFoodName({\n rich_text: [{ plain_text: \" tofu bowl \" }],\n });\n assertEquals(richTextName, \"tofu bowl\");\n\n const missingName = extractFoodName(undefined);\n assertEquals(missingName, null);\n});\n\nDeno.test(\"parseEntry uses Created time and extracts food/macros\", () => {\n const page = {\n id: \"page-1\",\n properties: {\n [PROPERTY_NAMES.loggedAt]: { created_time: \"2026-01-16T14:12:00.000Z\" },\n [PROPERTY_NAMES.title]: { title: [{ plain_text: \"cheese omelette\" }] },\n [PROPERTY_NAMES.macros.calories]: { number: 320 },\n [PROPERTY_NAMES.macros.protein]: { number: 18 },\n [PROPERTY_NAMES.macros.carbs]: { number: null },\n },\n };\n const entry = parseEntry(page);\n assert(entry);\n assertEquals(entry.pageId, \"page-1\");\n assertEquals(entry.date, \"2026-01-16\");\n assertEquals(entry.food, \"cheese omelette\");\n assertEquals(entry.macros, { calories: 320, protein: 18 });\n});\n\nDeno.test(\"parseEntry ignores pages without a timestamp\", () => {\n const page = {\n id: \"page-2\",\n properties: {\n [PROPERTY_NAMES.title]: { title: [{ plain_text: \"missing time\" }] },\n },\n };\n const entry = parseEntry(page);\n assertEquals(entry, null);\n});\n\nDeno.test(\"extractMacros only returns numeric values\", () => {\n const macros = extractMacros({\n [PROPERTY_NAMES.macros.calories]: { number: 300 },\n [PROPERTY_NAMES.macros.protein]: { number: null },\n [PROPERTY_NAMES.macros.carbs]: { number: 12 },\n [PROPERTY_NAMES.macros.fat]: { number: \"10\" },\n });\n assertEquals(macros, { calories: 300, carbs: 12 });\n});\n\nDeno.test(\"shouldEnrich returns true if any core macros are missing\", () => {\n const base: Entry = {\n pageId: \"page-3\",\n date: \"2026-01-16\",\n loggedAt: \"2026-01-16T10:00:00.000Z\",\n food: \"toast\",\n macros: { calories: 200, protein: 8, carbs: 20, fat: 4 },\n };\n assertEquals(shouldEnrich(base), false);\n assertEquals(shouldEnrich({ ...base, macros: { ...base.macros, fat: undefined } }), true);\n});\n\nDeno.test(\"buildNutritionProperties maps to Notion property names\", () => {\n const props = buildNutritionProperties({\n calories: 120,\n protein: 6,\n carbs: 10,\n fat: 4,\n fiber: 2,\n sugar: 1,\n sodium: 300,\n });\n assertEquals(props, {\n [PROPERTY_NAMES.macros.calories]: { number: 120 },\n [PROPERTY_NAMES.macros.protein]: { number: 6 },\n [PROPERTY_NAMES.macros.carbs]: { number: 10 },\n [PROPERTY_NAMES.macros.fat]: { number: 4 },\n [PROPERTY_NAMES.macros.fiber]: { number: 2 },\n [PROPERTY_NAMES.macros.sugar]: { number: 1 },\n [PROPERTY_NAMES.macros.sodium]: { number: 300 },\n });\n});\n\nDeno.test(\"buildNutritionPrompt includes the food text\", () => {\n const prompt = buildNutritionPrompt(\"cheese omelette\");\n assertStringIncludes(prompt, \"cheese omelette\");\n});\n\nDeno.test(\"safeParseJson returns null for invalid JSON\", () => {\n assertEquals(safeParseJson(\"{oops}\"), null);\n assertEquals(safeParseJson(\"\"), null);\n assertEquals(safeParseJson('{\"ok\":true}'), { ok: true });\n});\n\nDeno.test(\"coerceNumber handles strings and rounds\", () => {\n assertEquals(coerceNumber(2.345), 2.35);\n assertEquals(coerceNumber(\"12.1\"), 12.1);\n assertEquals(coerceNumber(\"bad\"), undefined);\n});\n\nDeno.test(\"coerceMacros filters invalid fields\", () => {\n const macros = coerceMacros({\n calories: \"100.4\",\n protein: 12,\n carbs: \"bad\",\n fat: null,\n fiber: 3.333,\n sugar: \"4.2\",\n sodium: \"350\",\n });\n assertEquals(macros, {\n calories: 100.4,\n protein: 12,\n fiber: 3.33,\n sugar: 4.2,\n sodium: 350,\n });\n});\n\nDeno.test(\"roundNumber rounds to two decimals\", () => {\n assertEquals(roundNumber(3.14159), 3.14);\n});\n\n// Rollup should aggregate entries and use deterministic runId.\nDeno.test(\"buildFoodRollup aggregates weekly stats\", () => {\n const entries: Entry[] = [\n {\n pageId: \"page-1\",\n date: \"2026-01-01\",\n loggedAt: \"2026-01-01T12:00:00.000Z\",\n food: \"toast\",\n macros: { calories: 100, protein: 4 },\n },\n {\n pageId: \"page-2\",\n date: \"2026-01-02\",\n loggedAt: \"2026-01-02T12:00:00.000Z\",\n food: \"eggs\",\n macros: { calories: 200, protein: 12 },\n },\n ];\n const rollup = buildFoodRollup(entries, \"2026-01-01\", \"2026-01-07\");\n assertEquals(rollup.category, \"food\");\n assertEquals(rollup.stats.totalEntries, 2);\n assertEquals(rollup.stats.uniqueDays, 2);\n assertEquals(rollup.stats.entriesByDate[\"2026-01-01\"], 1);\n assertEquals(rollup.stats.entriesByDate[\"2026-01-02\"], 1);\n assertEquals(rollup.runId, \"food-2026-01-01-2026-01-07\");\n});\n",[],[181,478],["D",1768588056443],[426,427,428,429],[181],"65c8e5b0-fadf-11f0-98dc-42dde27851f2","sqlite.ts","65c8e678-fadf-11f0-98dc-42dde27851f2",423,["D",1769449784071],"import sqlite from \"https://esm.town/v/std/sqlite/main.ts\";\n\n// Central import to keep DB client switches (std vs legacy) in one place.\nexport { sqlite };\n",[],[188,490],"65d5f0f2-fadf-11f0-8ad9-42dde27851f2","rollups.ts","08468100-f0ca-11f0-80e1-42dde27851f2",425,["D",1769449784146],4,"import { sqlite } from \"./sqlite.ts\";\n\n// Provides typed helpers for the val-scoped SQLite tables that back weekly rollups and badge history.\n\nconst WEEKLY_ROLLUPS_TABLE = \"weekly_rollups_1\";\nconst BADGE_EVENTS_TABLE = \"badge_events_1\";\n\nexport type WeeklyRollup = {\n category: string;\n periodStart: string; // YYYY-MM-DD\n periodEnd: string; // YYYY-MM-DD\n streak: number;\n completionRate: number;\n xp: number;\n badges: string[];\n stats: Record;\n runId: string;\n};\n\nexport type BadgeEvent = {\n category: string;\n badge: string;\n periodStart: string; // YYYY-MM-DD\n periodEnd: string; // YYYY-MM-DD\n awardedAt: string; // ISO timestamp\n reason?: string;\n};\n\nexport async function initRollupSchema() {\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS ${WEEKLY_ROLLUPS_TABLE} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n category TEXT NOT NULL,\n period_start TEXT NOT NULL,\n period_end TEXT NOT NULL,\n streak INTEGER NOT NULL,\n completion_rate REAL NOT NULL,\n xp INTEGER NOT NULL,\n badges_json TEXT NOT NULL,\n stats_json TEXT NOT NULL,\n run_id TEXT NOT NULL,\n created_at TEXT NOT NULL,\n UNIQUE(category, period_start),\n UNIQUE(run_id)\n )`);\n\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS ${BADGE_EVENTS_TABLE} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n category TEXT NOT NULL,\n badge TEXT NOT NULL,\n period_start TEXT NOT NULL,\n period_end TEXT NOT NULL,\n awarded_at TEXT NOT NULL,\n reason TEXT\n )`);\n}\n\nexport async function upsertWeeklyRollup(rollup: WeeklyRollup) {\n const createdAt = new Date().toISOString();\n await sqlite.execute(\n buildUpsertWeeklyRollupQuery(rollup, createdAt),\n );\n}\n\nexport function buildUpsertWeeklyRollupQuery(rollup: WeeklyRollup, createdAt: string) {\n return {\n sql: `INSERT OR REPLACE INTO ${WEEKLY_ROLLUPS_TABLE} (\n category,\n period_start,\n period_end,\n streak,\n completion_rate,\n xp,\n badges_json,\n stats_json,\n run_id,\n created_at\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)`,\n args: [\n rollup.category,\n rollup.periodStart,\n rollup.periodEnd,\n rollup.streak,\n rollup.completionRate,\n rollup.xp,\n JSON.stringify(rollup.badges),\n JSON.stringify(rollup.stats),\n rollup.runId,\n createdAt,\n ],\n };\n}\n\nexport async function insertBadgeEvents(events: BadgeEvent[]) {\n for (const event of events) {\n await sqlite.execute(\n `INSERT INTO ${BADGE_EVENTS_TABLE} (\n category,\n badge,\n period_start,\n period_end,\n awarded_at,\n reason\n ) VALUES (?, ?, ?, ?, ?, ?)`,\n [\n event.category,\n event.badge,\n event.periodStart,\n event.periodEnd,\n event.awardedAt,\n event.reason ?? null,\n ],\n );\n }\n}\n\nexport async function getWeeklyRollups(category: string, start: string, end: string) {\n const result = await sqlite.execute(\n `SELECT * FROM ${WEEKLY_ROLLUPS_TABLE}\n WHERE category = ?\n AND period_start >= ?\n AND period_end <= ?\n ORDER BY period_start ASC`,\n [category, start, end],\n );\n return result.rows;\n}\n",[],[188,498],["D",1768341095957],[423,424],[188],"e86bd2c0-f328-11f0-b05e-42dde27851f2","notion.ts","2dc9ba38-f23b-11f0-b902-42dde27851f2",353,["D",1768601747203],2,"export const NOTION_VERSION = \"2022-06-28\";\n\n// Minimal Notion types used by the collectors.\nexport type NotionRichText = { plain_text: string };\nexport type NotionDateProperty = { date: { start: string } | null };\nexport type NotionNumberProperty = { number: number | null };\nexport type NotionTextProperty = { rich_text: NotionRichText[] };\nexport type NotionCreatedTimeProperty = { created_time: string };\nexport type NotionTitleProperty = { title: NotionRichText[] };\n\nexport type NotionPage = {\n id: string;\n properties: Record;\n};\n\nexport type NotionQueryResponse = {\n results: NotionPage[];\n has_more: boolean;\n next_cursor: string | null;\n};\n\n// Fetch all pages from a Notion database (handles pagination).\nexport async function fetchNotionPages(\n databaseId: string,\n token: string,\n buildBody: (cursor?: string) => Record,\n): Promise {\n const url = `https://api.notion.com/v1/databases/${databaseId}/query`;\n const headers = {\n Authorization: `Bearer ${token}`,\n \"Notion-Version\": NOTION_VERSION,\n \"Content-Type\": \"application/json\",\n };\n\n const pages: T[] = [];\n let cursor: string | null | undefined;\n\n do {\n const body = buildBody(cursor ?? undefined);\n const response = await fetch(url, {\n method: \"POST\",\n headers,\n body: JSON.stringify(body),\n });\n\n if (!response.ok) {\n const text = await response.text();\n throw new Error(`Notion query failed: ${response.status} ${text}`);\n }\n\n const data = (await response.json()) as unknown;\n if (!isNotionQueryResponse(data)) {\n throw new Error(\"Notion query returned unexpected shape.\");\n }\n\n pages.push(...(data.results as T[]));\n cursor = data.has_more && data.next_cursor ? data.next_cursor : undefined;\n } while (cursor);\n\n return pages;\n}\n\n// Update a Notion page's properties.\nexport async function updateNotionPage(\n pageId: string,\n token: string,\n properties: Record,\n): Promise {\n const url = `https://api.notion.com/v1/pages/${pageId}`;\n const headers = {\n Authorization: `Bearer ${token}`,\n \"Notion-Version\": NOTION_VERSION,\n \"Content-Type\": \"application/json\",\n };\n\n const response = await fetch(url, {\n method: \"PATCH\",\n headers,\n body: JSON.stringify({ properties }),\n });\n\n if (!response.ok) {\n const text = await response.text();\n throw new Error(`Notion update failed: ${response.status} ${text}`);\n }\n}\n\n// Runtime guard for Notion query responses.\nfunction isNotionQueryResponse(value: unknown): value is NotionQueryResponse {\n if (!value || typeof value !== \"object\") return false;\n const record = value as Record;\n return (\n Array.isArray(record.results) &&\n typeof record.has_more === \"boolean\" &&\n (typeof record.next_cursor === \"string\" || record.next_cursor === null)\n );\n}\n",[],[194,510],"0459b77c-f329-11f0-9209-42dde27851f2","monthly_report.ts","045b9332-f31d-11f0-9776-42dde27851f2",356,["D",1768601794059],"import { calculateCurrentStreak, listDateRange } from \"./date.ts\";\n\n// Types shared by the monthly rollup page.\nexport type Rollup = {\n category: string;\n periodStart: string;\n periodEnd: string;\n streak: number;\n completionRate: number;\n xp: number;\n badges: string[];\n stats: Record;\n runId: string;\n};\n\nexport type MonthlySummary = {\n monthStart: string;\n monthEnd: string;\n rollupsIncluded: number;\n};\n\nexport type BloodSugarMonthlySummary = MonthlySummary & {\n totalEntries: number;\n average: number;\n min: number;\n max: number;\n completionRate: number;\n streak: number;\n xp: number;\n badges: string[];\n entriesByDate: Record;\n};\n\nexport type FoodMacroStats = {\n count: number;\n total: number;\n avg: number;\n};\n\nexport type FoodMonthlySummary = MonthlySummary & {\n totalEntries: number;\n uniqueDays: number;\n avgEntriesPerDay: number;\n minEntriesPerDay: number;\n maxEntriesPerDay: number;\n completionRate: number;\n streak: number;\n macroSummary: Record;\n entriesByDate: Record;\n};\n\ntype FoodStatsShape = {\n entriesByDate?: Record;\n macroSummary?: Record;\n totalEntries?: number;\n};\n\ntype BloodSugarStatsShape = {\n entriesByDate?: Record;\n avg?: number;\n min?: number;\n max?: number;\n totalEntries?: number;\n};\n\n// Aggregate blood sugar rollups into a single monthly summary.\nexport function aggregateBloodSugarMonth(\n rollups: Rollup[],\n monthStart: string,\n monthEnd: string,\n options: { includePartialWeeks?: boolean } = {},\n): BloodSugarMonthlySummary {\n // Default to full-week rollups to avoid double counting across overlaps.\n const dateRange = listDateRange(monthStart, monthEnd);\n const filtered = filterRollups(rollups, monthStart, monthEnd, options.includePartialWeeks ?? false);\n const entriesByDate = mergeEntriesByDate(filtered, monthStart, monthEnd);\n const totalEntries = sumValues(entriesByDate);\n\n // Use weighted average and min/max across weeks that are fully included.\n let weightedSum = 0;\n let weightedCount = 0;\n let min = Number.POSITIVE_INFINITY;\n let max = Number.NEGATIVE_INFINITY;\n let xp = 0;\n const badgeSet = new Set();\n\n for (const rollup of filtered) {\n const stats = (rollup.stats ?? {}) as BloodSugarStatsShape;\n const count = stats.totalEntries ?? 0;\n if (typeof stats.avg === \"number\" && count > 0) {\n weightedSum += stats.avg * count;\n weightedCount += count;\n }\n if (typeof stats.min === \"number\") min = Math.min(min, stats.min);\n if (typeof stats.max === \"number\") max = Math.max(max, stats.max);\n xp += rollup.xp;\n for (const badge of rollup.badges ?? []) badgeSet.add(badge);\n }\n\n const average = weightedCount ? Number((weightedSum / weightedCount).toFixed(1)) : 0;\n const resolvedMin = Number.isFinite(min) ? min : 0;\n const resolvedMax = Number.isFinite(max) ? max : 0;\n const expected = dateRange.length * 2;\n const completionRate = expected ? Math.round((totalEntries / expected) * 100) : 0;\n const streak = calculateCurrentStreak(dateRange, entriesByDate);\n\n return {\n monthStart,\n monthEnd,\n rollupsIncluded: filtered.length,\n totalEntries,\n average,\n min: resolvedMin,\n max: resolvedMax,\n completionRate,\n streak,\n xp,\n badges: Array.from(badgeSet),\n entriesByDate,\n };\n}\n\n// Aggregate food rollups into a single monthly summary.\nexport function aggregateFoodMonth(\n rollups: Rollup[],\n monthStart: string,\n monthEnd: string,\n options: { includePartialWeeks?: boolean } = {},\n): FoodMonthlySummary {\n const dateRange = listDateRange(monthStart, monthEnd);\n const filtered = filterRollups(rollups, monthStart, monthEnd, options.includePartialWeeks ?? false);\n const entriesByDate = mergeEntriesByDate(filtered, monthStart, monthEnd);\n const totalEntries = sumValues(entriesByDate);\n const uniqueDays = Object.values(entriesByDate).filter((count) => count > 0).length;\n const avgEntriesPerDay = dateRange.length ? Number((totalEntries / dateRange.length).toFixed(2)) : 0;\n const minEntriesPerDay = dateRange.length\n ? Math.min(...dateRange.map((date) => entriesByDate[date] ?? 0))\n : 0;\n const maxEntriesPerDay = dateRange.length\n ? Math.max(...dateRange.map((date) => entriesByDate[date] ?? 0))\n : 0;\n const completionRate = dateRange.length ? Math.round((uniqueDays / dateRange.length) * 100) : 0;\n const streak = calculateCurrentStreak(dateRange, entriesByDate);\n const macroSummary = aggregateMacroSummary(filtered);\n\n return {\n monthStart,\n monthEnd,\n rollupsIncluded: filtered.length,\n totalEntries,\n uniqueDays,\n avgEntriesPerDay,\n minEntriesPerDay,\n maxEntriesPerDay,\n completionRate,\n streak,\n macroSummary,\n entriesByDate,\n };\n}\n\n// Resolve the month range from a YYYY-MM string (or default to last month).\nexport function resolveMonthRange(monthParam?: string | null, now = new Date()) {\n if (monthParam) {\n const match = monthParam.match(/^(\\d{4})-(\\d{2})$/);\n if (match) {\n const year = Number(match[1]);\n const month = Number(match[2]) - 1;\n const start = new Date(Date.UTC(year, month, 1));\n const end = new Date(Date.UTC(year, month + 1, 0));\n return { start: formatDate(start), end: formatDate(end) };\n }\n }\n const year = now.getUTCFullYear();\n const month = now.getUTCMonth();\n const start = new Date(Date.UTC(year, month - 1, 1));\n const end = new Date(Date.UTC(year, month, 0));\n return { start: formatDate(start), end: formatDate(end) };\n}\n\n// Filter rollups to the desired month window.\nfunction filterRollups(\n rollups: Rollup[],\n monthStart: string,\n monthEnd: string,\n includePartialWeeks: boolean,\n) {\n return rollups.filter((rollup) => {\n if (includePartialWeeks) {\n return rollup.periodStart <= monthEnd && rollup.periodEnd >= monthStart;\n }\n return rollup.periodStart >= monthStart && rollup.periodEnd <= monthEnd;\n });\n}\n\n// Merge per-day counts across rollups (handling overlap safely).\nfunction mergeEntriesByDate(rollups: Rollup[], monthStart: string, monthEnd: string) {\n const entriesByDate: Record = {};\n for (const rollup of rollups) {\n const stats = rollup.stats as FoodStatsShape | BloodSugarStatsShape;\n const entries = stats.entriesByDate ?? {};\n for (const [date, count] of Object.entries(entries)) {\n if (date < monthStart || date > monthEnd) continue;\n const current = entriesByDate[date];\n // When rollups overlap, prefer the larger count for a given day.\n entriesByDate[date] = current === undefined ? count : Math.max(current, count);\n }\n }\n return entriesByDate;\n}\n\n// Roll up macro stats across all matching rollups.\nfunction aggregateMacroSummary(rollups: Rollup[]) {\n const summary: Record = {};\n for (const rollup of rollups) {\n const stats = rollup.stats as FoodStatsShape;\n const macroSummary = stats.macroSummary ?? {};\n for (const [key, value] of Object.entries(macroSummary)) {\n const existing = summary[key] ?? { count: 0, total: 0, avg: 0 };\n existing.count += value.count ?? 0;\n existing.total += value.total ?? 0;\n existing.avg = existing.count ? Number((existing.total / existing.count).toFixed(2)) : 0;\n summary[key] = existing;\n }\n }\n return summary;\n}\n\n// Sum values of a date->count map.\nfunction sumValues(record: Record) {\n return Object.values(record).reduce((sum, value) => sum + value, 0);\n}\n\n// Format a Date as YYYY-MM-DD (UTC).\nfunction formatDate(value: Date) {\n return value.toISOString().slice(0, 10);\n}\n",[],[194,519],"fe2fb036-f328-11f0-b456-42dde27851f2","food_enrich.ts","659ce588-f309-11f0-b22d-42dde27851f2",355,["D",1768601783718],6,"import {\n type NotionCreatedTimeProperty,\n type NotionDateProperty,\n type NotionNumberProperty,\n type NotionPage,\n type NotionTextProperty,\n type NotionTitleProperty,\n} from \"./notion.ts\";\nimport { calculateCurrentStreak, countEntriesByDate, listDateRange } from \"./date.ts\";\n\n// Macro keys and entry types for the food log.\nexport type MacroKey = \"calories\" | \"protein\" | \"carbs\" | \"fat\" | \"fiber\" | \"sugar\" | \"sodium\";\n\nexport type Entry = {\n pageId: string;\n date: string;\n loggedAt: string;\n food: string;\n macros: Partial>;\n};\n\nexport type MacroStats = {\n count: number;\n total: number;\n avg: number;\n};\n\nexport type FoodStats = {\n totalEntries: number;\n uniqueDays: number;\n entriesByDate: Record;\n avgEntriesPerDay: number;\n minEntriesPerDay: number;\n maxEntriesPerDay: number;\n macroSummary: Partial>;\n};\n\nexport type FoodRollup = {\n category: string;\n periodStart: string;\n periodEnd: string;\n streak: number;\n completionRate: number;\n xp: number;\n badges: string[];\n stats: FoodStats;\n runId: string;\n};\n\n// Mapping from Notion property names to macro fields.\nexport const PROPERTY_NAMES = {\n title: \"food\",\n loggedAt: \"Created time\",\n macros: {\n calories: \"calories\",\n protein: \"protein\",\n carbs: \"carbs\",\n fat: \"fats\",\n fiber: \"fiber\",\n sugar: \"sugar\",\n sodium: \"sodium\",\n },\n};\n\n// Parse a Notion page into a normalized food entry.\nexport function parseEntry(page: NotionPage): Entry | null {\n const props = page.properties ?? {};\n const loggedAtProp = props[PROPERTY_NAMES.loggedAt] as\n | NotionDateProperty\n | NotionCreatedTimeProperty\n | undefined;\n let loggedAt: string | null = null;\n if (loggedAtProp) {\n if (\"date\" in loggedAtProp) loggedAt = loggedAtProp.date?.start ?? null;\n if (\"created_time\" in loggedAtProp) loggedAt = loggedAtProp.created_time ?? null;\n }\n if (!loggedAt) return null;\n\n const foodProp = props[PROPERTY_NAMES.title] as NotionTitleProperty | NotionTextProperty | undefined;\n const food = extractFoodName(foodProp) ?? \"Unknown\";\n const macros = extractMacros(props);\n\n return {\n pageId: page.id,\n date: loggedAt.slice(0, 10),\n loggedAt,\n food,\n macros,\n };\n}\n\n// Normalize Notion title/rich_text into a single plain string.\nexport function extractFoodName(\n prop:\n | NotionTitleProperty\n | NotionTextProperty\n | undefined,\n): string | null {\n // Normalize Notion title/rich_text into a single plain string.\n if (!prop) return null;\n if (\"title\" in prop) {\n const value = prop.title?.map((item) => item.plain_text).join(\"\").trim();\n return value ? value : null;\n }\n if (\"rich_text\" in prop) {\n const value = prop.rich_text?.map((item) => item.plain_text).join(\"\").trim();\n return value ? value : null;\n }\n return null;\n}\n\n// Read macro number properties from a Notion page.\nexport function extractMacros(\n props: Record,\n): Partial> {\n const macros: Partial> = {};\n for (const key of Object.keys(PROPERTY_NAMES.macros) as MacroKey[]) {\n const propName = PROPERTY_NAMES.macros[key];\n const value = (props[propName] as NotionNumberProperty | undefined)?.number;\n if (typeof value === \"number\") macros[key] = value;\n }\n return macros;\n}\n\n// Only enrich entries missing core macros.\nexport function shouldEnrich(entry: Entry): boolean {\n return (\n entry.macros.calories === undefined ||\n entry.macros.protein === undefined ||\n entry.macros.carbs === undefined ||\n entry.macros.fat === undefined\n );\n}\n\n// Shape Notion property updates for numeric columns only.\nexport function buildNutritionProperties(macros: Partial>): Record {\n const props: Record = {};\n if (macros.calories !== undefined) props[PROPERTY_NAMES.macros.calories] = { number: macros.calories };\n if (macros.protein !== undefined) props[PROPERTY_NAMES.macros.protein] = { number: macros.protein };\n if (macros.carbs !== undefined) props[PROPERTY_NAMES.macros.carbs] = { number: macros.carbs };\n if (macros.fat !== undefined) props[PROPERTY_NAMES.macros.fat] = { number: macros.fat };\n if (macros.fiber !== undefined) props[PROPERTY_NAMES.macros.fiber] = { number: macros.fiber };\n if (macros.sugar !== undefined) props[PROPERTY_NAMES.macros.sugar] = { number: macros.sugar };\n if (macros.sodium !== undefined) props[PROPERTY_NAMES.macros.sodium] = { number: macros.sodium };\n return props;\n}\n\n// Build the weekly food rollup stored in SQLite.\nexport function buildFoodRollup(entries: Entry[], start: string, end: string): FoodRollup {\n const dateRange = listDateRange(start, end);\n const entriesByDate = countEntriesByDate(entries);\n const uniqueDays = dateRange.filter((date) => (entriesByDate[date] ?? 0) > 0).length;\n const totalEntries = entries.length;\n const avgEntriesPerDay = dateRange.length ? Number((totalEntries / dateRange.length).toFixed(2)) : 0;\n const minEntriesPerDay = dateRange.length\n ? Math.min(...dateRange.map((date) => entriesByDate[date] ?? 0))\n : 0;\n const maxEntriesPerDay = dateRange.length\n ? Math.max(...dateRange.map((date) => entriesByDate[date] ?? 0))\n : 0;\n const completionRate = dateRange.length ? Math.round((uniqueDays / dateRange.length) * 100) : 0;\n const streak = calculateCurrentStreak(dateRange, entriesByDate);\n const macroSummary = calculateMacroSummary(entries);\n\n const runId = `food-${start}-${end}`;\n\n return {\n category: \"food\",\n periodStart: start,\n periodEnd: end,\n streak,\n completionRate,\n xp: 0,\n badges: [],\n stats: {\n totalEntries,\n uniqueDays,\n entriesByDate,\n avgEntriesPerDay,\n minEntriesPerDay,\n maxEntriesPerDay,\n macroSummary,\n },\n runId,\n };\n}\n\n// Consistent rounding helper for macro math.\nexport function roundNumber(value: number): number {\n return Number(value.toFixed(2));\n}\n\n// Simple prompt for the macro estimation model.\nexport function buildNutritionPrompt(food: string): string {\n return `Estimate macros for: \"${food}\". Assume a typical single serving.`;\n}\n\n// Guard against non-JSON responses from the model.\nexport function safeParseJson(value: string): unknown {\n try {\n return JSON.parse(value);\n } catch {\n return null;\n }\n}\n\n// Aggregate macro stats across entries.\nfunction calculateMacroSummary(entries: Entry[]): Partial> {\n const summary: Partial> = {};\n for (const entry of entries) {\n for (const key of Object.keys(entry.macros) as MacroKey[]) {\n const value = entry.macros[key];\n if (typeof value !== \"number\") continue;\n const current = summary[key] ?? { count: 0, total: 0, avg: 0 };\n current.count += 1;\n current.total += value;\n current.avg = Number((current.total / current.count).toFixed(2));\n summary[key] = current;\n }\n }\n return summary;\n}\n\n// Coerce model output into numeric macro fields.\nexport function coerceMacros(value: Record): Partial> {\n const macros: Partial> = {};\n macros.calories = coerceNumber(value.calories);\n macros.protein = coerceNumber(value.protein);\n macros.carbs = coerceNumber(value.carbs);\n macros.fat = coerceNumber(value.fat);\n macros.fiber = coerceNumber(value.fiber);\n macros.sugar = coerceNumber(value.sugar);\n macros.sodium = coerceNumber(value.sodium);\n return Object.fromEntries(\n Object.entries(macros).filter(([, v]) => typeof v === \"number\" && Number.isFinite(v)),\n ) as Partial>;\n}\n\n// Convert a string or number into a rounded macro value.\nexport function coerceNumber(value: unknown): number | undefined {\n if (typeof value === \"number\" && Number.isFinite(value)) return roundNumber(value);\n if (typeof value === \"string\") {\n const trimmed = value.trim();\n const parsed = Number(trimmed);\n if (Number.isFinite(parsed)) return roundNumber(parsed);\n }\n return undefined;\n}\n",[],[194,527],"8ef3721a-f7ac-11f0-bbc1-42dde27851f2","fatsecret.ts","8ef372ba-f7ac-11f0-bbc1-42dde27851f2",413,["D",1769098095307],"import type { MacroKey } from \"./food_enrich.ts\";\nimport { roundNumber } from \"./food_enrich.ts\";\n\nexport type FatSecretConfig = {\n clientId: string;\n clientSecret: string;\n};\n\nconst TOKEN_URL = \"https://oauth.fatsecret.com/connect/token\";\nconst SEARCH_URL = \"https://platform.fatsecret.com/rest/foods/search/v1\";\nconst FOOD_GET_URL = \"https://platform.fatsecret.com/rest/food/v2\";\n\nexport function getFatSecretConfig(): FatSecretConfig | null {\n const clientId = Deno.env.get(\"FATSECRET_CLIENT_ID\");\n const clientSecret = Deno.env.get(\"FATSECRET_CLIENT_SECRET\");\n if (!clientId || !clientSecret) return null;\n return { clientId, clientSecret };\n}\n\nexport async function requestAccessToken(config: FatSecretConfig): Promise {\n const body = new URLSearchParams({ grant_type: \"client_credentials\" });\n const basic = btoa(`${config.clientId}:${config.clientSecret}`);\n const resp = await fetch(TOKEN_URL, {\n method: \"POST\",\n headers: {\n \"Authorization\": `Basic ${basic}`,\n \"Content-Type\": \"application/x-www-form-urlencoded\",\n },\n body,\n });\n\n if (!resp.ok) {\n throw new Error(`FatSecret token request failed: ${resp.status} ${resp.statusText}`);\n }\n\n const payload = await resp.json() as Record;\n const token = payload.access_token;\n if (typeof token !== \"string\") {\n throw new Error(`FatSecret token response missing access_token.`);\n }\n return token;\n}\n\nexport async function fetchFoodMacros(\n term: string,\n token: string,\n): Promise> | null> {\n const foodId = await fetchFoodId(term, token);\n if (foodId) {\n const detailed = await fetchFoodDetails(foodId, token);\n if (detailed && Object.keys(detailed).length) return detailed;\n }\n\n const params = new URLSearchParams({\n search_expression: term,\n max_results: \"1\",\n format: \"json\",\n });\n const resp = await fetch(`${SEARCH_URL}?${params.toString()}`, {\n method: \"GET\",\n headers: {\n \"Authorization\": `Bearer ${token}`,\n },\n });\n\n const text = await resp.text();\n if (!resp.ok) {\n throw new Error(`FatSecret search failed: ${resp.status} ${resp.statusText} ${text}`);\n }\n const payload = text ? JSON.parse(text) as Record : {};\n const foods = payload.foods as Record | undefined;\n const list = foods?.food;\n const first = Array.isArray(list) ? list[0] : list;\n if (!first || typeof first !== \"object\") return null;\n\n const food = first as Record;\n const nutrition = parseFoodDescription(food.food_description);\n if (!nutrition) return null;\n\n const macros: Partial> = {};\n if (nutrition.calories !== undefined) macros.calories = roundNumber(nutrition.calories);\n if (nutrition.protein !== undefined) macros.protein = roundNumber(nutrition.protein);\n if (nutrition.carbs !== undefined) macros.carbs = roundNumber(nutrition.carbs);\n if (nutrition.fat !== undefined) macros.fat = roundNumber(nutrition.fat);\n if (nutrition.fiber !== undefined) macros.fiber = roundNumber(nutrition.fiber);\n if (nutrition.sugar !== undefined) macros.sugar = roundNumber(nutrition.sugar);\n if (nutrition.sodium !== undefined) macros.sodium = roundNumber(nutrition.sodium);\n return Object.keys(macros).length ? macros : null;\n}\n\nexport function sumIfComplete(values: Array): number | undefined {\n if (!values.length) return undefined;\n if (values.some((value) => typeof value !== \"number\")) return undefined;\n const total = values.reduce((acc, value) => acc + (value ?? 0), 0);\n return roundNumber(total);\n}\n\nasync function fetchFoodId(term: string, token: string): Promise {\n const params = new URLSearchParams({\n search_expression: term,\n max_results: \"1\",\n format: \"json\",\n });\n const resp = await fetch(`${SEARCH_URL}?${params.toString()}`, {\n method: \"GET\",\n headers: {\n \"Authorization\": `Bearer ${token}`,\n },\n });\n\n const text = await resp.text();\n if (!resp.ok) {\n throw new Error(`FatSecret search failed: ${resp.status} ${resp.statusText} ${text}`);\n }\n const payload = text ? JSON.parse(text) as Record : {};\n const foods = payload.foods as Record | undefined;\n const list = foods?.food;\n const first = Array.isArray(list) ? list[0] : list;\n if (!first || typeof first !== \"object\") return null;\n const food = first as Record;\n return typeof food.food_id === \"string\" ? food.food_id : null;\n}\n\nasync function fetchFoodDetails(foodId: string, token: string): Promise> | null> {\n const params = new URLSearchParams({\n food_id: foodId,\n format: \"json\",\n });\n const resp = await fetch(`${FOOD_GET_URL}?${params.toString()}`, {\n method: \"GET\",\n headers: {\n \"Authorization\": `Bearer ${token}`,\n },\n });\n\n const text = await resp.text();\n if (!resp.ok) {\n throw new Error(`FatSecret food.get failed: ${resp.status} ${resp.statusText} ${text}`);\n }\n const payload = text ? JSON.parse(text) as Record : {};\n const food = payload.food as Record | undefined;\n if (!food) return null;\n const servings = (food.servings as Record | undefined)?.serving;\n const serving = Array.isArray(servings) ? servings[0] : servings;\n if (!serving || typeof serving !== \"object\") return null;\n\n const macros: Partial> = {};\n const record = serving as Record;\n const calories = toNumber(record.calories);\n const protein = toNumber(record.protein);\n const carbs = toNumber(record.carbohydrate);\n const fat = toNumber(record.fat);\n const fiber = toNumber(record.fiber);\n const sugar = toNumber(record.sugar);\n const sodium = toNumber(record.sodium);\n\n if (calories !== undefined) macros.calories = roundNumber(calories);\n if (protein !== undefined) macros.protein = roundNumber(protein);\n if (carbs !== undefined) macros.carbs = roundNumber(carbs);\n if (fat !== undefined) macros.fat = roundNumber(fat);\n if (fiber !== undefined) macros.fiber = roundNumber(fiber);\n if (sugar !== undefined) macros.sugar = roundNumber(sugar);\n if (sodium !== undefined) macros.sodium = roundNumber(sodium);\n\n return Object.keys(macros).length ? macros : null;\n}\n\nfunction parseFoodDescription(desc?: string): {\n calories?: number;\n fat?: number;\n carbs?: number;\n protein?: number;\n fiber?: number;\n sugar?: number;\n sodium?: number;\n} | null {\n if (!desc) return null;\n const caloriesMatch = desc.match(/Calories:\\s*([0-9.]+)kcal/i);\n const fatMatch = desc.match(/Fat:\\s*([0-9.]+)g/i);\n const carbsMatch = desc.match(/Carbs:\\s*([0-9.]+)g/i);\n const proteinMatch = desc.match(/Protein:\\s*([0-9.]+)g/i);\n const fiberMatch = desc.match(/(?:Dietary\\s+)?Fiber:\\s*([0-9.]+)g/i);\n const sugarMatch = desc.match(/Sugar[s]?:\\s*([0-9.]+)g/i);\n const sodiumMatch = desc.match(/Sodium:\\s*([0-9.]+)mg/i);\n\n return {\n calories: caloriesMatch ? Number(caloriesMatch[1]) : undefined,\n fat: fatMatch ? Number(fatMatch[1]) : undefined,\n carbs: carbsMatch ? Number(carbsMatch[1]) : undefined,\n protein: proteinMatch ? Number(proteinMatch[1]) : undefined,\n fiber: fiberMatch ? Number(fiberMatch[1]) : undefined,\n sugar: sugarMatch ? Number(sugarMatch[1]) : undefined,\n sodium: sodiumMatch ? Number(sodiumMatch[1]) : undefined,\n };\n}\n\nfunction toNumber(value: unknown): number | undefined {\n if (typeof value === \"number\" && Number.isFinite(value)) return value;\n if (typeof value === \"string\") {\n const parsed = Number(value.trim());\n if (Number.isFinite(parsed)) return parsed;\n }\n return undefined;\n}\n",[],[194,536],"e4d88144-f328-11f0-8a43-42dde27851f2","date.ts","2de18fc8-f23b-11f0-8627-42dde27851f2",352,["D",1768601741204],"// Date helpers shared across rollup logic.\nexport function getWeeklyRange(): { start: string; end: string } {\n const today = new Date();\n const end = toDateOnly(today);\n const startDate = new Date(Date.UTC(today.getUTCFullYear(), today.getUTCMonth(), today.getUTCDate()));\n startDate.setUTCDate(startDate.getUTCDate() - 6);\n const start = toDateOnly(startDate);\n return { start, end };\n}\n\n// Convert a Date into YYYY-MM-DD (UTC).\nexport function toDateOnly(date: Date): string {\n return date.toISOString().slice(0, 10);\n}\n\n// Count days between two YYYY-MM-DD values, inclusive.\nexport function daysBetweenInclusive(start: string, end: string): number {\n const startDate = new Date(`${start}T00:00:00Z`);\n const endDate = new Date(`${end}T00:00:00Z`);\n const ms = endDate.getTime() - startDate.getTime();\n return Math.floor(ms / 86400000) + 1;\n}\n\n// List each day (YYYY-MM-DD) between two dates, inclusive.\nexport function listDateRange(start: string, end: string): string[] {\n const startDate = new Date(`${start}T00:00:00Z`);\n const endDate = new Date(`${end}T00:00:00Z`);\n const dates: string[] = [];\n const cursor = new Date(startDate.getTime());\n while (cursor <= endDate) {\n dates.push(toDateOnly(cursor));\n cursor.setUTCDate(cursor.getUTCDate() + 1);\n }\n return dates;\n}\n\n// Tally entries per date for quick rollup math.\nexport function countEntriesByDate(entries: T[]): Record {\n return entries.reduce>((acc, entry) => {\n acc[entry.date] = (acc[entry.date] ?? 0) + 1;\n return acc;\n }, {});\n}\n\n// Count consecutive days from the end of the range with at least one entry.\nexport function calculateCurrentStreak(dateRange: string[], dateCounts: Record): number {\n let streak = 0;\n for (let i = dateRange.length - 1; i >= 0; i -= 1) {\n const date = dateRange[i];\n if ((dateCounts[date] ?? 0) > 0) {\n streak += 1;\n } else {\n break;\n }\n }\n return streak;\n}\n",[],[194,544],"8f10723e-f7ac-11f0-98e3-42dde27851f2","blood_sugar_logic.ts","e6a27e5e-f309-11f0-8d21-42dde27851f2",418,["D",1769098095502],"import { calculateCurrentStreak, countEntriesByDate, listDateRange } from \"./date.ts\";\nimport { type NotionCreatedTimeProperty, type NotionNumberProperty, type NotionTextProperty } from \"./notion.ts\";\n\nconst REPORT_TIMEZONE = \"America/New_York\";\n\n// Scoring constants for XP and bonuses.\nconst XP_PER_ENTRY = 12;\nconst STREAK_BONUS_MULTIPLIER = 1.2;\nconst HEALTHY_AVG_BONUS_MULTIPLIER = 1.2;\nconst HEALTHY_AVG_THRESHOLD = 100;\n\n// Notion page shape and normalized entry types.\nexport type BloodSugarNotionPage = {\n id: string;\n properties: {\n \"Blood Sugar Level\"?: NotionNumberProperty;\n \"Created time\"?: NotionCreatedTimeProperty | NotionTextProperty;\n };\n};\n\nexport type Entry = {\n date: string;\n createdTime: string | null;\n value: number;\n};\n\nexport type BloodSugarRollup = {\n category: string;\n periodStart: string;\n periodEnd: string;\n streak: number;\n completionRate: number;\n xp: number;\n badges: string[];\n stats: {\n totalEntries: number;\n avg: number;\n min: number;\n max: number;\n entriesByDate: Record;\n expected: number;\n missing: number;\n };\n runId: string;\n};\n\nexport type GroupedEntries = {\n date: string;\n am: Entry[];\n pm: Entry[];\n};\n\n// Parse a Notion page into a normalized entry.\nexport function parseEntry(page: BloodSugarNotionPage): Entry | null {\n // Normalize a Notion page into the minimal shape used by the report.\n const props = page.properties ?? {};\n const value = props[\"Blood Sugar Level\"]?.number ?? null;\n const createdProp = props[\"Created time\"];\n const createdTimeRaw = isCreatedTimeProperty(createdProp)\n ? createdProp.created_time\n : isTextProperty(createdProp)\n ? createdProp.rich_text?.[0]?.plain_text ?? null\n : null;\n if (!createdTimeRaw || typeof value !== \"number\") return null;\n const date = extractDate(createdTimeRaw);\n if (!date) return null;\n const createdTime = formatCreatedTime(createdTimeRaw);\n return { date, createdTime, value };\n}\n\nfunction extractDate(value: string): string | null {\n const trimmed = value.trim();\n const textMatch = trimmed.match(\n /^(January|February|March|April|May|June|July|August|September|October|November|December)\\s+(\\d{1,2}),\\s*(\\d{4})\\s+(\\d{1,2}):(\\d{2})\\s*([AP]M)$/i,\n );\n if (textMatch) {\n const monthMap: Record = {\n january: 1,\n february: 2,\n march: 3,\n april: 4,\n may: 5,\n june: 6,\n july: 7,\n august: 8,\n september: 9,\n october: 10,\n november: 11,\n december: 12,\n };\n const month = monthMap[textMatch[1].toLowerCase()];\n const day = Number(textMatch[2]);\n const year = Number(textMatch[3]);\n if (!month || Number.isNaN(day) || Number.isNaN(year)) return null;\n return `${year}-${String(month).padStart(2, \"0\")}-${String(day).padStart(2, \"0\")}`;\n }\n\n const parsed = new Date(trimmed);\n if (Number.isNaN(parsed.getTime())) return null;\n return formatDateInTimeZone(parsed, REPORT_TIMEZONE);\n}\n\n// Normalize various Notion \"created time\" formats into readable time strings.\nexport function formatCreatedTime(value: string | null): string | null {\n if (!value) return null;\n const trimmed = value.trim();\n const timeMatch = trimmed.match(/(\\d{1,2}:\\d{2}\\s*[AP]M)/i);\n if (timeMatch) {\n return timeMatch[1].toUpperCase().replace(/\\s+/, \" \");\n }\n const parsed = new Date(trimmed);\n if (Number.isNaN(parsed.getTime())) return trimmed;\n return parsed.toLocaleTimeString(\"en-US\", {\n hour: \"numeric\",\n minute: \"2-digit\",\n hour12: true,\n timeZone: REPORT_TIMEZONE,\n });\n}\n\nfunction formatDateInTimeZone(date: Date, timeZone: string): string {\n const parts = new Intl.DateTimeFormat(\"en-US\", {\n timeZone,\n year: \"numeric\",\n month: \"2-digit\",\n day: \"2-digit\",\n }).formatToParts(date);\n const lookup = parts.reduce>((acc, part) => {\n acc[part.type] = part.value;\n return acc;\n }, {});\n return `${lookup.year}-${lookup.month}-${lookup.day}`;\n}\n\n// Perfect streak means 2+ readings per day for a full week.\nexport function hasPerfectWeekStreak(dateRange: string[], dateCounts: Record): boolean {\n return dateRange.length >= 7 && dateRange.every((date) => (dateCounts[date] ?? 0) >= 2);\n}\n\n// XP is weighted by streak and healthy average bonuses.\nexport function calculateXp(totalCount: number, avg: number, perfectWeekStreak: boolean): number {\n const baseXp = totalCount * XP_PER_ENTRY;\n if (baseXp === 0) return 0;\n const streakBonus = perfectWeekStreak ? STREAK_BONUS_MULTIPLIER : 1;\n const healthyAvgBonus = avg > 0 && avg < HEALTHY_AVG_THRESHOLD ? HEALTHY_AVG_BONUS_MULTIPLIER : 1;\n return Math.round(baseXp * streakBonus * healthyAvgBonus);\n}\n\n// Build the weekly rollup stored in SQLite.\nexport function buildBloodSugarRollup(entries: Entry[], start: string, end: string): BloodSugarRollup {\n const values = entries.map((entry) => entry.value);\n const count = values.length;\n const avg = count ? Math.round((values.reduce((a, b) => a + b, 0) / count) * 10) / 10 : 0;\n const min = count ? Math.min(...values) : 0;\n const max = count ? Math.max(...values) : 0;\n\n const dateCounts = countEntriesByDate(entries);\n const dateRange = listDateRange(start, end);\n const expected = dateRange.length * 2;\n const missing = Math.max(0, expected - count);\n const completionRate = expected ? Math.round((count / expected) * 100) : 0;\n const currentStreak = calculateCurrentStreak(dateRange, dateCounts);\n const perfectWeekStreak = hasPerfectWeekStreak(dateRange, dateCounts);\n const badges = buildBadges(dateRange, dateCounts, count, avg, perfectWeekStreak);\n const xp = calculateXp(count, avg, perfectWeekStreak);\n\n return {\n category: \"blood_sugar\",\n periodStart: start,\n periodEnd: end,\n streak: currentStreak,\n completionRate,\n xp,\n badges,\n stats: {\n totalEntries: count,\n avg,\n min,\n max,\n entriesByDate: dateCounts,\n expected,\n missing,\n },\n runId: `blood_sugar-${start}-${end}`,\n };\n}\n\n// Decide which badges to award for the week.\nexport function buildBadges(\n _dateRange: string[],\n _dateCounts: Record,\n totalCount: number,\n avg: number,\n perfectWeekStreak: boolean,\n): string[] {\n const badges: string[] = [];\n if (totalCount >= 7) badges.push(\"Mandy-Mode Consistency\");\n if (totalCount >= 14) badges.push(\"Cage Match: Full Week\");\n if (perfectWeekStreak) badges.push(\"Cage Match: Double-Check Champion\");\n if (avg > 0 && avg < HEALTHY_AVG_THRESHOLD) badges.push(\"National Treasure: Healthy Average\");\n return badges;\n}\n\n// Short motivational copy for emails.\nexport function buildEncouragement(completionRate: number, streak: number): string {\n if (completionRate >= 90) return \"Amazing work — you kept a near-perfect log this week.\";\n if (completionRate >= 70) return \"Great consistency — you’re building a strong habit.\";\n if (completionRate >= 40) return \"Nice progress — a few more check-ins will make this even stronger.\";\n if (streak >= 3) return \"You’re on a streak — keep it going!\";\n return \"Every entry helps — you’ve got this.\";\n}\n\n// Group entries into a per-day AM/PM structure for reports.\nexport function groupEntriesByDate(entries: Entry[], dateRange: string[]): GroupedEntries[] {\n // Bucket entries by date and AM/PM for consistent report formatting.\n const buckets: Record = {};\n for (const date of dateRange) {\n buckets[date] = { am: [], pm: [] };\n }\n for (const entry of entries) {\n if (!buckets[entry.date]) {\n buckets[entry.date] = { am: [], pm: [] };\n }\n const meridiem = getMeridiem(entry.createdTime);\n if (meridiem === \"AM\") {\n buckets[entry.date].am.push(entry);\n } else if (meridiem === \"PM\") {\n buckets[entry.date].pm.push(entry);\n } else {\n buckets[entry.date].pm.push(entry);\n }\n }\n return dateRange.map((date) => ({\n date,\n am: buckets[date]?.am ?? [],\n pm: buckets[date]?.pm ?? [],\n }));\n}\n\n// Format a single line of the daily summary table.\nexport function formatGroupedEntryLine(group: GroupedEntries): string {\n const [first, second] = formatFirstSecondText(group);\n return `${group.date} | 1st: ${first} | 2nd: ${second}`;\n}\n\n// Type guard for Notion created_time fields.\nexport function isCreatedTimeProperty(value: unknown): value is NotionCreatedTimeProperty {\n return (\n !!value &&\n typeof value === \"object\" &&\n \"created_time\" in value &&\n typeof (value as { created_time?: unknown }).created_time === \"string\"\n );\n}\n\n// Type guard for Notion rich_text fields.\nexport function isTextProperty(value: unknown): value is NotionTextProperty {\n return (\n !!value &&\n typeof value === \"object\" &&\n \"rich_text\" in value &&\n Array.isArray((value as { rich_text?: unknown }).rich_text)\n );\n}\n\n// Extract AM/PM from a time string if possible.\nfunction getMeridiem(value: string | null): \"AM\" | \"PM\" | null {\n if (!value) return null;\n const match = value.match(/\\b(AM|PM)\\b/i);\n if (!match) return null;\n return match[1].toUpperCase() as \"AM\" | \"PM\";\n}\n\n// Pick the first two readings (with an overflow indicator).\nfunction formatFirstSecondText(group: GroupedEntries): [string, string] {\n const ordered = orderEntries(group);\n if (!ordered.length) return [\"—\", \"—\"];\n const first = String(ordered[0].value);\n if (ordered.length === 1) return [first, \"—\"];\n const secondValue = String(ordered[1].value);\n const overflow = ordered.length > 2 ? ` (+${ordered.length - 2})` : \"\";\n return [first, `${secondValue}${overflow}`];\n}\n\n// Order entries by time when present (unknown times go last).\nfunction orderEntries(group: GroupedEntries): Entry[] {\n const combined = [...group.am, ...group.pm];\n return combined.sort((a, b) => {\n const aMinutes = parseTimeToMinutes(a.createdTime);\n const bMinutes = parseTimeToMinutes(b.createdTime);\n if (aMinutes === null && bMinutes === null) return 0;\n if (aMinutes === null) return 1;\n if (bMinutes === null) return -1;\n return aMinutes - bMinutes;\n });\n}\n\n// Convert \"h:mm AM/PM\" into minutes since midnight.\nfunction parseTimeToMinutes(value: string | null): number | null {\n if (!value) return null;\n const match = value.match(/(\\d{1,2}):(\\d{2})\\s*([AP]M)/i);\n if (!match) return null;\n let hours = Number(match[1]);\n const minutes = Number(match[2]);\n const meridiem = match[3].toUpperCase();\n if (meridiem === \"PM\" && hours < 12) hours += 12;\n if (meridiem === \"AM\" && hours === 12) hours = 0;\n return hours * 60 + minutes;\n}\n",[],[194,552],["D",1768499629303],[416,417,418,419,420,421],[194],"2d1a4f62-f23b-11f0-a85a-42dde27851f2","weekly_rollup_persist.http.tsx","f84d1afa-f233-11f0-9eff-42dde27851f2",190,["D",1768499642189],"http","import { initRollupSchema, insertBadgeEvents, upsertWeeklyRollup, type BadgeEvent, type WeeklyRollup } from \"../storage/rollups.ts\";\n\ntype PersistPayload = {\n rollup: WeeklyRollup;\n badgeEvents?: BadgeEvent[];\n};\n\nexport default async function (req: Request) {\n if (req.method !== \"POST\") {\n return new Response(\"Method Not Allowed\", { status: 405 });\n }\n\n const authError = checkAuth(req);\n if (authError) {\n return new Response(authError, { status: 401 });\n }\n\n const data = (await req.json()) as unknown;\n if (!isPersistPayload(data)) {\n return new Response(\"Invalid payload.\", { status: 400 });\n }\n\n await initRollupSchema();\n await upsertWeeklyRollup(data.rollup);\n if (data.badgeEvents?.length) {\n await insertBadgeEvents(data.badgeEvents);\n }\n\n return new Response(\"Persisted.\", { status: 200 });\n}\n\nfunction checkAuth(req: Request): string | null {\n const token = Deno.env.get(\"ROLLUP_PERSIST_TOKEN\");\n if (!token) return null;\n const header = req.headers.get(\"Authorization\") ?? \"\";\n const match = header.match(/^Bearer\\s+(.+)$/i);\n if (!match || match[1] !== token) return \"Unauthorized.\";\n return null;\n}\n\nfunction isPersistPayload(value: unknown): value is PersistPayload {\n if (!value || typeof value !== \"object\") return false;\n const record = value as Record;\n if (!isWeeklyRollup(record.rollup)) return false;\n if (record.badgeEvents === undefined) return true;\n return Array.isArray(record.badgeEvents) && record.badgeEvents.every(isBadgeEvent);\n}\n\nfunction isWeeklyRollup(value: unknown): value is WeeklyRollup {\n if (!value || typeof value !== \"object\") return false;\n const record = value as Record;\n return (\n typeof record.category === \"string\" &&\n typeof record.periodStart === \"string\" &&\n typeof record.periodEnd === \"string\" &&\n typeof record.streak === \"number\" &&\n typeof record.completionRate === \"number\" &&\n typeof record.xp === \"number\" &&\n Array.isArray(record.badges) &&\n typeof record.stats === \"object\" &&\n record.stats !== null &&\n typeof record.runId === \"string\"\n );\n}\n\nfunction isBadgeEvent(value: unknown): value is BadgeEvent {\n if (!value || typeof value !== \"object\") return false;\n const record = value as Record;\n return (\n typeof record.category === \"string\" &&\n typeof record.badge === \"string\" &&\n typeof record.periodStart === \"string\" &&\n typeof record.periodEnd === \"string\" &&\n typeof record.awardedAt === \"string\"\n );\n}\n",[],[200,563],"65ed11d8-fadf-11f0-b590-42dde27851f2","monthly_report_page.http.tsx","044f06e4-f31d-11f0-b40c-42dde27851f2",428,["D",1769449784146],17,"import React from \"https://esm.sh/react@18.2.0\";\nimport { renderToString } from \"https://esm.sh/react-dom@18.2.0/server\";\nimport { sqlite } from \"../storage/sqlite.ts\";\nimport {\n aggregateBloodSugarMonth,\n aggregateFoodMonth,\n resolveMonthRange,\n type Rollup,\n} from \"../shared/monthly_report.ts\";\n\n// HTTP val that renders a monthly dashboard directly from the val-scoped DB.\nexport default async function (req: Request) {\n const url = new URL(req.url);\n const monthParam = url.searchParams.get(\"month\");\n const now = new Date();\n // Keep defaults aligned with the dropdown so the first render has data.\n const startYear = 2026;\n const selectedMonth = resolveSelectedMonth(monthParam, now, startYear);\n const { start, end } = resolveMonthRange(selectedMonth, now);\n const includePartialWeeks = url.searchParams.get(\"partial\") === \"true\";\n const monthOptions = buildMonthOptions(startYear, now);\n\n // Pull all rollups for the requested month window, then split by category.\n const rollups = await fetchRollups(start, end, includePartialWeeks);\n const bloodSugar = aggregateBloodSugarMonth(rollups.filter((r) => r.category === \"blood_sugar\"), start, end, {\n includePartialWeeks,\n });\n const food = aggregateFoodMonth(rollups.filter((r) => r.category === \"food\"), start, end, {\n includePartialWeeks,\n });\n\n // Render a full HTML page as a string (server-side React).\n const html = renderToString(\n ,\n );\n\n return new Response(`${html}`, {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n}\n\n// Fetch weekly rollups for the month; optionally include overlapping weeks.\n// Query weekly rollups that overlap the selected month.\nasync function fetchRollups(start: string, end: string, includePartialWeeks: boolean): Promise {\n const where = includePartialWeeks\n ? \"period_start <= ? AND period_end >= ?\"\n : \"period_start >= ? AND period_end <= ?\";\n const args = includePartialWeeks ? [end, start] : [start, end];\n const result = await sqlite.execute({\n sql: `\n SELECT\n category,\n period_start,\n period_end,\n streak,\n completion_rate,\n xp,\n badges_json,\n stats_json,\n run_id\n FROM weekly_rollups_1\n WHERE ${where}\n ORDER BY period_start ASC\n `,\n args,\n });\n\n return result.rows.map((row) => rowToRollup(row as Record | unknown[]));\n}\n\n// Convert SQLite array or object rows into typed rollup objects.\n// (The SQLite client can return either shape depending on context.)\nfunction rowToRollup(row: Record | unknown[]): Rollup {\n const values = Array.isArray(row) ? row : [\n row.category,\n row.period_start,\n row.period_end,\n row.streak,\n row.completion_rate,\n row.xp,\n row.badges_json,\n row.stats_json,\n row.run_id,\n ];\n const [\n category,\n periodStart,\n periodEnd,\n streak,\n completionRate,\n xp,\n badgesJson,\n statsJson,\n runId,\n ] = values;\n return {\n category: String(category),\n periodStart: String(periodStart),\n periodEnd: String(periodEnd),\n streak: Number(streak ?? 0),\n completionRate: Number(completionRate ?? 0),\n xp: Number(xp ?? 0),\n badges: safeParseJsonArray(badgesJson),\n stats: safeParseJsonObject(statsJson),\n runId: String(runId),\n };\n}\n\nfunction safeParseJsonArray(value: unknown): string[] {\n const parsed = safeParseJson(value);\n return Array.isArray(parsed) ? parsed.map(String) : [];\n}\n\nfunction safeParseJsonObject(value: unknown): Record {\n const parsed = safeParseJson(value);\n return parsed && typeof parsed === \"object\" ? (parsed as Record) : {};\n}\n\n// Guard against invalid JSON in stored rollup columns.\nfunction safeParseJson(value: unknown) {\n if (typeof value !== \"string\") return null;\n try {\n return JSON.parse(value);\n } catch {\n return null;\n }\n}\n\n// Present the monthly report as a static HTML page.\nfunction ReportPage(props: {\n monthStart: string;\n monthEnd: string;\n includePartialWeeks: boolean;\n selectedMonth: string;\n monthOptions: string[];\n bloodSugar: ReturnType;\n food: ReturnType;\n}) {\n const { monthStart, monthEnd, includePartialWeeks, selectedMonth, monthOptions, bloodSugar, food } = props;\n const title = \"Praise Cage Monthly Rollup\";\n return (\n \n \n \n \n {title}\n \n \n \n {/* Decorative background layers */}\n

\n \n

{title}

\n Range: {monthStart} → {monthEnd} {includePartialWeeks ? \"(partial weeks included)\" : \"(full weeks only)\"}\n

\n {/* Month navigation is query-string driven for shareable URLs. */}\n \n

\n\n {/* Main content: two summary cards */}\n

Blood Sugar

\n \n \n \n \n \n \n \n

\n {(bloodSugar.badges.length ? bloodSugar.badges : [\"No badges yet\"]).map((badge) => (\n \n {badge}\n \n ))}\n

\n\n

Food Log

\n \n \n \n \n \n \n \n

\n Macro averages (per entry)\n {Object.keys(food.macroSummary).length === 0 &&

No macro data yet.

}\n {Object.entries(food.macroSummary).map(([key, value]) => (\n

\n {key}\n {value.avg}\n

\n ))}\n

\n\n

\n Praise Cage mode: keep logging, keep winning. Data from weekly rollups stored in Val Town SQLite.\n

\n \n \n \n );\n}\n\nfunction Stat(props: { label: string; value: string | number }) {\n return (\n

\n {props.label}\n {props.value}\n

\n );\n}\n\n// Build the month dropdown from the first data year through the current month.\nfunction buildMonthOptions(startYear: number, now: Date): string[] {\n const options: string[] = [];\n const start = new Date(Date.UTC(startYear, 0, 1));\n const end = new Date(Date.UTC(now.getUTCFullYear(), now.getUTCMonth(), 1));\n if (end < start) {\n return [formatMonth(start)];\n }\n for (let cursor = start; cursor <= end; cursor = addMonths(cursor, 1)) {\n options.push(formatMonth(cursor));\n }\n return options;\n}\n\n// Use the query string if valid, otherwise default to last month.\nfunction resolveSelectedMonth(monthParam: string | null, now: Date, startYear: number): string {\n const minMonth = `${startYear}-01`;\n if (monthParam && /^\\d{4}-\\d{2}$/.test(monthParam)) {\n return monthParam < minMonth ? minMonth : monthParam;\n }\n const year = now.getUTCFullYear();\n const month = now.getUTCMonth();\n const previous = new Date(Date.UTC(year, month - 1, 1));\n const fallback = formatMonth(previous);\n return fallback < minMonth ? minMonth : fallback;\n}\n\n// Format a Date as YYYY-MM for query params and dropdown values.\nfunction formatMonth(date: Date): string {\n const year = date.getUTCFullYear();\n const month = String(date.getUTCMonth() + 1).padStart(2, \"0\");\n return `${year}-${month}`;\n}\n\n// Date helper for iterating month-by-month.\nfunction addMonths(date: Date, amount: number): Date {\n return new Date(Date.UTC(date.getUTCFullYear(), date.getUTCMonth() + amount, 1));\n}\n",[],[200,572],["D",1768499628695],[413,414],[200],"8f078c0a-f7ac-11f0-9c14-42dde27851f2","food_report.cron.tsx","f851115a-f233-11f0-a807-42dde27851f2",417,["D",1769098095429],38,"interval","import { getWeeklyRange } from \"../shared/date.ts\";\nimport { OpenAI } from \"https://esm.town/v/std/openai\";\nimport { fetchNotionPages, type NotionPage, updateNotionPage } from \"../shared/notion.ts\";\nimport { fetchFoodMacros, getFatSecretConfig, requestAccessToken, sumIfComplete } from \"../shared/fatsecret.ts\";\nimport {\n buildNutritionProperties,\n buildFoodRollup,\n type Entry,\n type MacroKey,\n parseEntry,\n PROPERTY_NAMES,\n roundNumber,\n safeParseJson,\n shouldEnrich,\n} from \"../shared/food_enrich.ts\";\nimport { initRollupSchema, upsertWeeklyRollup } from \"../storage/rollups.ts\";\n\ntype NotionConfig = {\n token: string;\n databaseId: string;\n};\n\nexport default async function () {\n // Resolve configs and hydrate external clients first to fail fast.\n const notionConfig = getNotionConfig();\n if (!notionConfig) {\n return new Response(\"Missing Notion secrets.\", { status: 500 });\n }\n const openai = new OpenAI();\n const fatSecretConfig = getFatSecretConfig();\n const fatSecretToken = fatSecretConfig ? await requestAccessToken(fatSecretConfig) : null;\n\n const { start, end } = getWeeklyRange();\n const entries = await fetchEntries(start, end, notionConfig);\n console.log(`Food entries ${start} to ${end}:`, entries);\n\n let enriched = 0;\n for (const entry of entries) {\n // Only enrich entries missing core macros to avoid overwriting manual edits.\n if (!shouldEnrich(entry)) continue;\n if (!entry.food || entry.food === \"Unknown\") continue;\n const enrichment = await fetchNutrition(entry.food, openai, fatSecretConfig, fatSecretToken);\n if (!enrichment) continue;\n const properties = buildNutritionProperties(enrichment.macros);\n if (!Object.keys(properties).length) continue;\n console.log(\"Enriching entry\", {\n pageId: entry.pageId,\n food: entry.food,\n loggedAt: entry.loggedAt,\n macros: enrichment.macros,\n });\n console.log(\"Notion update properties\", {\n pageId: entry.pageId,\n properties,\n });\n await updateNotionPage(entry.pageId, notionConfig.token, properties);\n entry.macros = { ...entry.macros, ...enrichment.macros };\n enriched += 1;\n }\n\n await initRollupSchema();\n const rollup = buildFoodRollup(entries, start, end);\n await upsertWeeklyRollup(rollup);\n\n return new Response(`Weekly food entries logged. Enriched ${enriched}.`, { status: 200 });\n}\n\nfunction getNotionConfig(): NotionConfig | null {\n const token = Deno.env.get(\"NOTION_TOKEN\");\n const databaseId = Deno.env.get(\"NOTION_FOOD_DB_ID\");\n if (!token || !databaseId) return null;\n return { token, databaseId };\n}\n\nasync function fetchEntries(start: string, end: string, config: NotionConfig): Promise {\n // Pull just the last-week window to keep the Notion query fast.\n const pages = await fetchNotionPages(config.databaseId, config.token, (cursor) => ({\n filter: {\n and: [\n { property: PROPERTY_NAMES.loggedAt, date: { on_or_after: start } },\n { property: PROPERTY_NAMES.loggedAt, date: { on_or_before: end } },\n ],\n },\n sorts: [{ property: PROPERTY_NAMES.loggedAt, direction: \"ascending\" }],\n ...(cursor ? { start_cursor: cursor } : {}),\n }));\n\n const entries: Entry[] = [];\n for (const page of pages) {\n const entry = parseEntry(page);\n if (entry) entries.push(entry);\n }\n\n return entries;\n}\n\nasync function fetchNutrition(\n foodName: string,\n openai: OpenAI,\n config: ReturnType,\n token: string | null,\n): Promise<{\n macros: Partial>;\n} | null> {\n if (!config || !token) return null;\n const items = await parseFoodItems(foodName, openai);\n const macros = await fetchFatSecretTotals(items, foodName, token, config);\n if (!macros || !Object.keys(macros).length) return null;\n return { macros };\n}\n\ntype FoodItem = {\n name: string;\n servings: number;\n};\n\nasync function parseFoodItems(foodName: string, openai: OpenAI): Promise {\n // Keep the OpenAI request compact to control costs.\n const completion = await openai.chat.completions.create({\n model: \"gpt-5-nano\",\n messages: [\n {\n role: \"system\",\n content:\n \"You normalize food log entries. \" +\n \"Return a single JSON object: {\\\"items\\\":[{\\\"name\\\":\\\"...\\\",\\\"servings\\\":1}]}. \" +\n \"Correct spelling, keep names short, and split sides when phrased as \\\"with\\\" or \\\"and\\\". \" +\n \"Infer servings for a regular meal: default to 1 per item; if explicit quantities are given, \" +\n \"convert to a servings multiplier. Keep brands and key ingredients. No extra text.\",\n },\n {\n role: \"user\",\n content: `Food entry: \"${foodName}\".`,\n },\n ],\n max_tokens: 160,\n });\n\n const text = completion.choices[0]?.message?.content?.trim();\n if (!text) return [{ name: foodName, servings: 1 }];\n const parsed = safeParseJson(text);\n if (!parsed || typeof parsed !== \"object\") return [{ name: foodName, servings: 1 }];\n const items = (parsed as Record).items;\n if (!Array.isArray(items)) return [{ name: foodName, servings: 1 }];\n const cleaned = items\n .map((item) => coerceFoodItem(item))\n .filter((item): item is FoodItem => !!item)\n .map((item) => ({\n name: item.name.trim(),\n servings: sanitizeServings(item.servings),\n }))\n .filter((item) => item.name.length > 0);\n return cleaned.length ? cleaned : [{ name: foodName, servings: 1 }];\n}\n\nasync function fetchFatSecretTotals(\n items: FoodItem[],\n original: string,\n token: string,\n config: ReturnType,\n): Promise> | null> {\n if (!config) return null;\n const components: Array> | null> = [];\n for (const item of items) {\n const macros = await fetchFoodMacros(item.name, token);\n components.push(macros ? scaleMacros(macros, item.servings) : null);\n }\n\n if (components.length === 1 && components[0]) return components[0];\n const totals = sumComponentMacros(components);\n if (totals && hasCoreMacros(totals)) return totals;\n const fallback = await fetchFoodMacros(original, token);\n return fallback ?? null;\n}\n\nconst CORE_MACROS: MacroKey[] = [\"calories\", \"protein\", \"carbs\", \"fat\"];\nconst SUM_MACROS: MacroKey[] = [\"calories\", \"protein\", \"carbs\", \"fat\", \"fiber\", \"sugar\", \"sodium\"];\n\nfunction hasCoreMacros(macros: Partial>): boolean {\n return CORE_MACROS.every((key) => typeof macros[key] === \"number\");\n}\n\nfunction sumComponentMacros(\n components: Array> | null>,\n): Partial> | null {\n if (!components.length) return null;\n if (components.some((component) => !component)) return null;\n const entries = components as Array>>;\n const totals: Partial> = {};\n for (const key of SUM_MACROS) {\n const value = sumIfComplete(entries.map((entry) => entry[key]));\n if (value !== undefined) totals[key] = value;\n }\n return totals;\n}\n\nfunction coerceFoodItem(item: unknown): FoodItem | null {\n if (typeof item === \"string\") {\n return { name: item, servings: 1 };\n }\n if (!item || typeof item !== \"object\") return null;\n const record = item as Record;\n const name = record.name;\n if (typeof name !== \"string\") return null;\n const servings = record.servings;\n if (typeof servings === \"number\" && Number.isFinite(servings)) {\n return { name, servings };\n }\n if (typeof servings === \"string\") {\n const parsed = Number(servings.trim());\n if (Number.isFinite(parsed)) return { name, servings: parsed };\n }\n return { name, servings: 1 };\n}\n\nfunction sanitizeServings(value: number): number {\n if (!Number.isFinite(value) || value <= 0) return 1;\n return roundNumber(value);\n}\n\nfunction scaleMacros(\n macros: Partial>,\n servings: number,\n): Partial> {\n const scaled: Partial> = {};\n for (const [key, value] of Object.entries(macros) as Array<[MacroKey, number]>) {\n if (typeof value !== \"number\") continue;\n scaled[key] = roundNumber(value * servings);\n }\n return scaled;\n}\n",[],[206,584],"8f02a5d2-f7ac-11f0-a96e-42dde27851f2","blood_sugar_report.cron.tsx","905c839c-f0bf-11f0-b356-42dde27851f2",416,["D",1769098095417],58,"import { email } from \"https://esm.town/v/std/email\";\nimport { getWeeklyRange, listDateRange } from \"../shared/date.ts\";\nimport { fetchNotionPages } from \"../shared/notion.ts\";\nimport { initRollupSchema, upsertWeeklyRollup } from \"../storage/rollups.ts\";\nimport {\n buildEncouragement,\n buildBloodSugarRollup,\n formatGroupedEntryLine,\n groupEntriesByDate,\n parseEntry,\n type GroupedEntries,\n type BloodSugarNotionPage,\n type Entry,\n hasPerfectWeekStreak,\n} from \"../shared/blood_sugar_logic.ts\";\n\nexport default async function handler(): Promise {\n const notionConfig = getNotionConfig();\n const emailConfig = getEmailConfig();\n\n if (!notionConfig) {\n return new Response(\"Missing required secrets.\", { status: 500 });\n }\n\n // Use a fixed 7-day range ending today (UTC) for weekly rollups.\n const { start, end } = getWeeklyRange();\n console.log(`Weekly range: ${start} to ${end}`);\n const entries = await fetchEntries(start, end, notionConfig);\n console.log(`Fetched ${entries.length} entries from Notion`);\n const report = buildReport(entries, start, end);\n console.log(\"Report subject:\", report.subject);\n console.log(\"Sending email to Val Town account owner (free tier default).\");\n\n // Build the payload to match Val Town's std/email expectations.\n const emailPayload = {\n subject: report.subject,\n text: report.text,\n html: report.html,\n ...(buildFrom(emailConfig?.fromEmail, emailConfig?.fromName) ?? {}),\n ...(emailConfig?.replyTo ? { replyTo: emailConfig.replyTo } : {}),\n };\n\n await email(emailPayload);\n console.log(\"Email sent.\");\n\n await initRollupSchema();\n await upsertWeeklyRollup(report.rollup);\n\n return new Response(\"Weekly report sent.\", { status: 200 });\n}\n\nfunction buildFrom(email?: string | null, name?: string | null) {\n if (!email) return null;\n return {\n from: name ? { email, name } : { email },\n };\n}\n\ntype NotionConfig = {\n token: string;\n databaseId: string;\n};\n\ntype EmailConfig = {\n fromEmail?: string;\n fromName?: string;\n replyTo?: string;\n};\n\nfunction getNotionConfig(): NotionConfig | null {\n const token = Deno.env.get(\"NOTION_TOKEN\");\n const databaseId = Deno.env.get(\"NOTION_BLOOD_SUGAR_DB_ID\");\n if (!token || !databaseId) return null;\n return { token, databaseId };\n}\n\nfunction getEmailConfig(): EmailConfig | null {\n const fromEmail = Deno.env.get(\"REPORT_FROM_EMAIL\") ?? undefined;\n const fromName = Deno.env.get(\"REPORT_FROM_NAME\") ?? undefined;\n const replyTo = Deno.env.get(\"REPORT_REPLY_TO\") ?? undefined;\n if (!fromEmail && !fromName && !replyTo) return null;\n return { fromEmail, fromName, replyTo };\n}\n\nexport async function fetchEntries(\n start: string,\n end: string,\n notionConfig: NotionConfig,\n): Promise {\n const pages = await fetchNotionPages(notionConfig.databaseId, notionConfig.token, (cursor) => ({\n filter: {\n and: [\n { property: \"Created time\", created_time: { on_or_after: start } },\n { property: \"Created time\", created_time: { on_or_before: end } },\n ],\n },\n sorts: [{ property: \"Created time\", direction: \"ascending\" }],\n ...(cursor ? { start_cursor: cursor } : {}),\n }));\n\n const entries: Entry[] = [];\n for (const page of pages) {\n const entry = parseEntry(page);\n if (entry) entries.push(entry);\n }\n\n return entries;\n}\n\nexport function buildReport(entries: Entry[], start: string, end: string) {\n // Compute summary stats and derive copy for email-friendly output.\n // Summary stats for the weekly rollup.\n const rollup = buildBloodSugarRollup(entries, start, end);\n const subject = `Blood Sugar Weekly Rollup (${start} → ${end})`;\n const dateRange = listDateRange(start, end);\n const groupedEntries = groupEntriesByDate(entries, dateRange);\n const encouragement = buildEncouragement(rollup.completionRate, rollup.streak);\n const disclaimer =\n \"Not medical advice. Educational info only. Source: https://www.ynhhs.org/articles/what-is-healthy-blood-sugar\";\n\n const lines = [\n `Range: ${start} to ${end}`,\n `Entries: ${rollup.stats.totalEntries} (expected ${rollup.stats.expected}, missing ${rollup.stats.missing})`,\n `Average: ${rollup.stats.avg}`,\n `Min: ${rollup.stats.min}`,\n `Max: ${rollup.stats.max}`,\n `Completion: ${rollup.completionRate}%`,\n `Current streak: ${rollup.streak} day${rollup.streak === 1 ? \"\" : \"s\"}`,\n `Perfect week streak: ${hasPerfectWeekStreak(dateRange, rollup.stats.entriesByDate) ? \"Yes\" : \"No\"}`,\n `XP earned: ${rollup.xp}`,\n `Badges: ${rollup.badges.length ? rollup.badges.join(\", \") : \"No badges yet\"}`,\n `Encouragement: ${encouragement}`,\n `Disclaimer: ${disclaimer}`,\n \"\",\n \"Entries:\",\n ...groupedEntries.map(formatGroupedEntryLine),\n ];\n\n const text = lines.join(\"\\n\");\n const html = renderHtmlReport(groupedEntries, {\n start,\n end,\n count: rollup.stats.totalEntries,\n expected: rollup.stats.expected,\n missing: rollup.stats.missing,\n avg: rollup.stats.avg,\n min: rollup.stats.min,\n max: rollup.stats.max,\n completionRate: rollup.completionRate,\n currentStreak: rollup.streak,\n badges: rollup.badges,\n encouragement,\n disclaimer,\n xp: rollup.xp,\n perfectWeekStreak: hasPerfectWeekStreak(dateRange, rollup.stats.entriesByDate),\n });\n\n return { subject, text, html, rollup };\n}\n\nfunction formatFirstSecondHtml(group: GroupedEntries): [string, string] {\n const ordered = orderEntries(group);\n if (!ordered.length) return [\"—\", \"—\"];\n const first = String(ordered[0].value);\n if (ordered.length === 1) return [first, \"—\"];\n const secondValue = String(ordered[1].value);\n const overflow = ordered.length > 2 ? ` (+${ordered.length - 2})` : \"\";\n return [first, `${secondValue}${overflow}`];\n}\n\nfunction orderEntries(group: GroupedEntries): Entry[] {\n const combined = [...group.am, ...group.pm];\n return combined.sort((a, b) => {\n const aMinutes = parseTimeToMinutes(a.createdTime);\n const bMinutes = parseTimeToMinutes(b.createdTime);\n if (aMinutes === null && bMinutes === null) return 0;\n if (aMinutes === null) return 1;\n if (bMinutes === null) return -1;\n return aMinutes - bMinutes;\n });\n}\n\nfunction parseTimeToMinutes(value: string | null): number | null {\n if (!value) return null;\n const match = value.match(/(\\d{1,2}):(\\d{2})\\s*([AP]M)/i);\n if (!match) return null;\n let hours = Number(match[1]);\n const minutes = Number(match[2]);\n const meridiem = match[3].toUpperCase();\n if (meridiem === \"PM\" && hours < 12) hours += 12;\n if (meridiem === \"AM\" && hours === 12) hours = 0;\n return hours * 60 + minutes;\n}\n\nexport function renderHtmlReport(\n groupedEntries: GroupedEntries[],\n stats: {\n start: string;\n end: string;\n count: number;\n expected: number;\n missing: number;\n avg: number;\n min: number;\n max: number;\n completionRate: number;\n currentStreak: number;\n badges: string[];\n encouragement: string;\n disclaimer: string;\n xp: number;\n perfectWeekStreak: boolean;\n },\n): string {\n // Simple HTML table for quick scanning in email clients.\n const rows = groupedEntries\n .map((group) => {\n const [first, second] = formatFirstSecondHtml(group);\n return `\n ${group.date}\n ${escapeHtml(first)}\n ${escapeHtml(second)}\n `;\n })\n .join(\"\");\n\n return `\n

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n

Blood Sugar Weekly Rollup

${stats.start} to ${stats.end}

\n 🔺 🔷 〰️ 🟢 〰️ 🔶 〰️ 🟡 〰️ 🟣 🔺 🔵 〰️\n

\n \n \n \n \n \n \n

Avg

${stats.avg}

Min

${stats.min}

Max

${stats.max}

\n \n \n \n \n \n \n \n \n \n

\n \n Entries \n ${stats.count}/${stats.expected} \n \n	\n \n Completion \n ${stats.completionRate}% \n \n
\n \n Streak \n ${stats.currentStreak} day${stats.currentStreak === 1 ? \"\" : \"s\"} \n \n	\n \n XP \n ${stats.xp} \n \n

\n Perfect Week Streak: ${stats.perfectWeekStreak ? \"Yes\" : \"No\"}\n

\n Badges:\n

\n ${\n stats.badges.length\n ? stats.badges\n .map(\n (badge) =>\n `${escapeHtml(badge)}`,\n )\n .join(\"\")\n : `No badges yet`\n }\n

\n ${escapeHtml(stats.encouragement)}\n

\n ${escapeHtml(stats.disclaimer)}\n

\n Entries\n

\n \n \n \n \n \n \n \n \n \n ${rows || ``}\n \n

Date	1st	2nd
No entries

\n `;\n}\n\nexport function escapeHtml(value: string): string {\n return value\n .replaceAll(\"&\", \"&\")\n .replaceAll(\"<\", \"<\")\n .replaceAll(\">\", \">\")\n .replaceAll('\"', \""\")\n .replaceAll(\"'\", \"'\");\n}\n",[],[206,594],["D",1768499629095],[410,411],[206],"2de47576-f23b-11f0-a135-42dde27851f2","settings.json","2de4762a-f23b-11f0-a135-42dde27851f2",228,["D",1768499643522],"{\n \"deno.enable\": true,\n \"deno.enablePaths\": [\"./\"]\n }",[],[212,606],"2de68492-f23b-11f0-93cf-42dde27851f2","extensions.json","2de68528-f23b-11f0-93cf-42dde27851f2",229,["D",1768499643540],"{\n \"recommendations\": [\n \"denoland.vscode-deno\"\n ]\n}",[],[212,614],["D",1768499629401],[407,408],[212],"a72bf240-fadf-11f0-9997-42dde27851f2","packed-refs","a72bf2e0-fadf-11f0-9997-42dde27851f2",597,["D",1769449893764],"# pack-refs with: peeled fully-peeled sorted \n",[],[218,625],"a7309048-fadf-11f0-bedf-42dde27851f2","config","a7309106-fadf-11f0-bedf-42dde27851f2",598,["D",1769449893763],"[core]\n\trepositoryformatversion = 0\n\tfilemode = true\n\tbare = false\n\tlogallrefupdates = true\n[remote \"origin\"]\n\turl = https://github.com/pchinjr/notion-valtown-blood-sugar-log.git\n\tfetch = +refs/heads/*:refs/remotes/origin/*\n[branch \"main\"]\n\tremote = origin\n\tmerge = refs/heads/main\n",[],[218,633],"a7383a6e-fadf-11f0-947e-42dde27851f2","HEAD","a7383b2c-fadf-11f0-947e-42dde27851f2",599,["D",1769449893765],"ref: refs/heads/main\n",[],[218,641],"a7283182-fadf-11f0-8a59-42dde27851f2","FETCH_HEAD","a7283240-fadf-11f0-8a59-42dde27851f2",596,["D",1769449893751],"ab9e94f94c298091109796be4a10a3dbd5d4dab0\t\tbranch 'main' of https://github.com/pchinjr/notion-valtown-blood-sugar-log\nf326ea0b6bd07151d9fdadc420f790c9c3f21540\tnot-for-merge\tbranch 'food-api-integration' of 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strict;\nuse warnings;\nuse IPC::Open2;\n\n# An example hook script to integrate Watchman\n# (https://facebook.github.io/watchman/) with git to speed up detecting\n# new and modified files.\n#\n# The hook is passed a version (currently 2) and last update token\n# formatted as a string and outputs to stdout a new update token and\n# all files that have been modified since the update token. Paths must\n# be relative to the root of the working tree and separated by a single NUL.\n#\n# To enable this hook, rename this file to \"query-watchman\" and set\n# 'git config core.fsmonitor .git/hooks/query-watchman'\n#\nmy ($version, $last_update_token) = @ARGV;\n\n# Uncomment for debugging\n# print STDERR \"$0 $version $last_update_token\\n\";\n\n# Check the hook interface version\nif ($version ne 2) {\n\tdie \"Unsupported query-fsmonitor hook version '$version'.\\n\" .\n\t \"Falling back to scanning...\\n\";\n}\n\nmy $git_work_tree = get_working_dir();\n\nmy $retry = 1;\n\nmy $json_pkg;\neval {\n\trequire JSON::XS;\n\t$json_pkg = \"JSON::XS\";\n\t1;\n} or do {\n\trequire JSON::PP;\n\t$json_pkg = \"JSON::PP\";\n};\n\nlaunch_watchman();\n\nsub launch_watchman {\n\tmy $o = watchman_query();\n\tif (is_work_tree_watched($o)) {\n\t\toutput_result($o->{clock}, @{$o->{files}});\n\t}\n}\n\nsub output_result {\n\tmy ($clockid, @files) = @_;\n\n\t# Uncomment for debugging watchman output\n\t# open (my $fh, \">\", \".git/watchman-output.out\");\n\t# binmode $fh, \":utf8\";\n\t# print $fh \"$clockid\\n@files\\n\";\n\t# close $fh;\n\n\tbinmode STDOUT, \":utf8\";\n\tprint $clockid;\n\tprint \"\\0\";\n\tlocal $, = \"\\0\";\n\tprint @files;\n}\n\nsub watchman_clock {\n\tmy $response = qx/watchman clock \"$git_work_tree\"/;\n\tdie \"Failed to get clock id on '$git_work_tree'.\\n\" .\n\t\t\"Falling back to scanning...\\n\" if $? != 0;\n\n\treturn $json_pkg->new->utf8->decode($response);\n}\n\nsub watchman_query {\n\tmy $pid = open2(\\*CHLD_OUT, \\*CHLD_IN, 'watchman -j --no-pretty')\n\tor die \"open2() failed: $!\\n\" .\n\t\"Falling back to scanning...\\n\";\n\n\t# In the query expression below we're asking for names of files that\n\t# changed since $last_update_token but not from the .git folder.\n\t#\n\t# To accomplish this, we're using the \"since\" generator to use the\n\t# recency index to select candidate nodes and \"fields\" to limit the\n\t# output to file names only. Then we're using the \"expression\" term to\n\t# further constrain the results.\n\tif (substr($last_update_token, 0, 1) eq \"c\") {\n\t\t$last_update_token = \"\\\"$last_update_token\\\"\";\n\t}\n\tmy $query = <<\"\tEND\";\n\t\t[\"query\", \"$git_work_tree\", {\n\t\t\t\"since\": $last_update_token,\n\t\t\t\"fields\": [\"name\"],\n\t\t\t\"expression\": [\"not\", [\"dirname\", \".git\"]]\n\t\t}]\n\tEND\n\n\t# Uncomment for debugging the watchman query\n\t# open (my $fh, \">\", \".git/watchman-query.json\");\n\t# print $fh $query;\n\t# close $fh;\n\n\tprint CHLD_IN $query;\n\tclose CHLD_IN;\n\tmy $response = do {local $/; };\n\n\t# Uncomment for debugging the watch response\n\t# open ($fh, \">\", \".git/watchman-response.json\");\n\t# print $fh $response;\n\t# close $fh;\n\n\tdie \"Watchman: command returned no output.\\n\" .\n\t\"Falling back to scanning...\\n\" if $response eq \"\";\n\tdie \"Watchman: command returned invalid output: $response\\n\" .\n\t\"Falling back to scanning...\\n\" unless $response =~ /^\\{/;\n\n\treturn $json_pkg->new->utf8->decode($response);\n}\n\nsub is_work_tree_watched {\n\tmy ($output) = @_;\n\tmy $error = $output->{error};\n\tif ($retry > 0 and $error and $error =~ m/unable to resolve root .* directory (.*) is not watched/) {\n\t\t$retry--;\n\t\tmy $response = qx/watchman watch \"$git_work_tree\"/;\n\t\tdie \"Failed to make watchman watch '$git_work_tree'.\\n\" .\n\t\t \"Falling back to scanning...\\n\" if $? != 0;\n\t\t$output = $json_pkg->new->utf8->decode($response);\n\t\t$error = $output->{error};\n\t\tdie \"Watchman: $error.\\n\" .\n\t\t\"Falling back to scanning...\\n\" if $error;\n\n\t\t# Uncomment for debugging watchman output\n\t\t# open (my $fh, \">\", \".git/watchman-output.out\");\n\t\t# close $fh;\n\n\t\t# Watchman will always return all files on the first query so\n\t\t# return the fast \"everything is dirty\" flag to git and do the\n\t\t# Watchman query just to get it over with now so we won't pay\n\t\t# the cost in git to look up each individual file.\n\t\tmy $o = watchman_clock();\n\t\t$error = $output->{error};\n\n\t\tdie \"Watchman: $error.\\n\" .\n\t\t\"Falling back to scanning...\\n\" if $error;\n\n\t\toutput_result($o->{clock}, (\"/\"));\n\t\t$last_update_token = $o->{clock};\n\n\t\teval { launch_watchman() };\n\t\treturn 0;\n\t}\n\n\tdie \"Watchman: $error.\\n\" .\n\t\"Falling back to scanning...\\n\" if $error;\n\n\treturn 1;\n}\n\nsub get_working_dir {\n\tmy $working_dir;\n\tif ($^O =~ 'msys' || $^O =~ 'cygwin') {\n\t\t$working_dir = Win32::GetCwd();\n\t\t$working_dir =~ tr/\\\\/\\//;\n\t} else {\n\t\trequire Cwd;\n\t\t$working_dir = Cwd::cwd();\n\t}\n\n\treturn $working_dir;\n}\n",[],[218,1804,1806],"846ccf0e-fadf-11f0-a92d-42dde27851f2",431,["D",1769449835480],[236,237],[218,1804],"84568618-fadf-11f0-8f76-42dde27851f2","845686ae-fadf-11f0-8f76-42dde27851f2",430,["D",1769449835335],[],[218,224],["D",1769449835209],[234,235,238,239,244,397,402,403,404,405],[218],["D",1768332030028],["D",1789516910456],{"_96":95,"_103":99},{"_96":95,"_97":-5,"_98":99,"_18":53,"_100":101,"_102":24},{"_13":85,"_31":86,"_41":40,"_87":42,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":43,"_94":95},"ctx",{"_78":-5,"_123":1865,"_1866":1867,"_1868":1869,"_1870":24,"_1871":24,"_1872":24,"_1873":121,"_1874":-5,"_1875":-7,"_1876":-7,"_1877":59,"_1878":24,"_1879":24,"_1880":-5,"_1881":24,"_1882":24,"_1883":24,"_1884":-5},"ENV",{"_1836":1837,"_1838":1839,"_1840":86,"_1841":1842,"_1843":1844,"_1845":1846,"_1847":1848,"_1849":1850,"_1851":1852,"_1853":1854,"_1855":1856,"_1857":1858,"_1859":1860,"_1861":1862,"_1863":1864},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","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 · v601