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{\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, 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\"$schema\": \"https://raw.githubusercontent.com/denoland/deno/98f62cee78e85bfc47c62ed703777c6bc8794f1c/cli/schemas/config-file.v1.json\",\n \"lock\": false,\n \"compilerOptions\": {\n \"noImplicitAny\": false,\n \"strict\": true,\n \"types\": [\"https://www.val.town/types/valtown.d.ts\"],\n \"lib\": [\n \"dom\",\n \"dom.iterable\",\n \"dom.asynciterable\",\n \"deno.ns\",\n \"deno.unstable\"\n ]\n },\n \"lint\": {\n \"include\": [\"**/*.ts\", \"**/*.tsx\", \"deno:/https/esm.town/**/*\"],\n \"rules\": {\n \"exclude\": [\"no-explicit-any\", \"no-import-prefix\"]\n }\n },\n \"node_modules_dir\": false,\n \"experimental\": {\n \"unstable-node-globals\": true,\n \"unstable-temporal\": true,\n \"unstable-worker-options\": true,\n \"unstable-sloppy-imports\": true\n },\n \"tasks\": {\n \"test\": \"deno test --allow-import --reporter=dot\"\n }\n}\n","label",[139],"0449254e-f31d-11f0-b7c7-42dde27851f2","README.md","904dec56-f0bf-11f0-a3c7-42dde27851f2",329,["D",1768596639990],22,"# Notion Life Tracker (Val Town)\n\nThis repo contains Val Town-ready scripts that:\n- fetch Notion entries for the last 7 days (UTC)\n- send a weekly blood sugar rollup via email\n- enrich food log entries with estimated macros and write them back to Notion\n\n## What this does (plain language)\n\nThink of this as two simple helpers:\n- You write down blood sugar readings in Notion.\n- Once a week, the script looks at the last 7 days and emails you a summary.\n- You write down foods you ate in another Notion database.\n- The food script estimates macros and fills them in.\n\n## A tiny bit of computer science (friendly version)\n\nEven though this feels simple, it uses a few classic CS ideas:\n- **Data modeling:** you define what a “reading” is (date, time, value).\n- **Filtering:** you only look at a specific window of time (last 7 days).\n- **Aggregation:** you summarize many values into a few stats (avg/min/max).\n- **Automation:** a scheduled job runs the same steps every week.\n\nIf you can build or understand this, you’re already practicing real CS thinking—just without the scary jargon.\n\n## Praise Cage mode\n\nThis project includes playful, Praise Cage-themed badges:\n- “Mandy-Mode Consistency”\n- “Cage Match: Full Week”\n- “Cage Match: Double-Check Champion”\n- “National Treasure: Healthy Average”\n\nYou can rename or swap these in `collectors/blood_sugar_report.cron.tsx`.\n\n## Medical disclaimer\n\nThis report is for informational purposes only and is not medical advice.\nHealthy blood sugar ranges referenced here come from:\nhttps://www.ynhhs.org/articles/what-is-healthy-blood-sugar\n\n## 1) Create the Notion databases\n\n### Blood Sugar Log\n\nCreate a new database in Notion (table view is easiest) with these properties:\n\n- **Entry** (Title)\n- **Created Time** (Created time) or **Created Time** (Text)\n- **Measurement Date** (Date) (e.g., `January 13, 2026`)\n- **Blood Sugar Level** (Number)\n\nYou can name the database anything (e.g., \"Blood Sugar Log\").\n\n### Food Log (Macro Enrichment)\n\nCreate another Notion database with these properties (exact names expected):\n\n- `food` (Title or Text)\n- `Created time` (Created time)\n- `calories` (Number)\n- `protein` (Number)\n- `carbs` (Number)\n- `fats` (Number)\n- `fiber` (Number)\n- `sugar` (Number)\n- `sodium` (Number)\n\nOnly `food` and `Created time` are required for reading. The rest are written by the val.\n\n## 2) Create a Notion integration\n\n1. Go to https://www.notion.so/my-integrations and create a new integration.\n2. Copy the **Internal Integration Token**.\n3. Open your database in Notion, click **Share**, and invite the integration.\n\n### Database IDs\nOpen each database in the browser and copy the 32‑character ID in the URL.\n\n## 3) Configure Val Town (CLI)\n\nCreate new Vals with the `vt` CLI, then sync from this repo:\n\n```\nvt create blood_sugar_report\nvt create food_report\nvt create monthly_report_page\n```\n\nReplace each generated Val file with the corresponding script from this repo:\n- `collectors/blood_sugar_report.cron.tsx`\n- `collectors/food_report.cron.tsx`\n- `services/monthly_report_page.http.tsx`\n\nThen push each Val:\n\n```\nvt push\n```\n\n### Secrets\n\nShared:\n- `NOTION_TOKEN`\n\nBlood sugar val:\n- `NOTION_BLOOD_SUGAR_DB_ID`\n- `REPORT_FROM_EMAIL` (optional, must be `your_username.valname@valtown.email`)\n- `REPORT_FROM_NAME` (optional)\n- `REPORT_REPLY_TO` (optional)\n\nFood log val:\n- `NOTION_FOOD_DB_ID`\n\nFree tier note: the blood sugar val emails the account owner by default.\n\nThe food val uses Val Town's `std/openai` proxy with `gpt-5-nano`, so no OpenAI API key is required.\n\nThe monthly report val renders a static Praise Cage report page from SQLite rollups.\n\n## 4) Schedule the report\n\nIn Val Town, schedule the Val to run weekly at 9:30am on Tuesdays (EST).\n\nSuggested cron (set Val Town timezone to EST):\n```\n30 9 * * 2\n```\n\n### What the cron line means\n\nCron is a simple way to say “run this on a schedule.” It has five fields:\n\n```\nminute hour day-of-month month day-of-week\n```\n\nSo `30 9 * * 2` means:\n- minute = 30\n- hour = 9\n- day-of-month = * (every day of the month)\n- month = * (every month)\n- day-of-week = 2 (Tuesday)\n\nIn other words: every Tuesday at 9:30am.\n\n## 5) Customize\n\n- Adjust the stats, date range, or email formatting in `collectors/blood_sugar_report.cron.tsx`.\n- If you prefer different property names, update them in the script.\n- Weekly rollups for both categories are persisted to Val Town SQLite for monthly/quarterly summaries.\n- Monthly report page supports query params:\n - `?month=YYYY-MM` (defaults to previous month)\n - `?partial=true` to include overlapping weeks\n\n## Development\n\nRun tests:\n```\ndeno test --allow-import --reporter=dot\n```\n\nRun lint:\n```\ndeno lint\n```\n\nMade with 🖖 by Paul Chin Jr. and Markal.\n",[149],"2d65964e-f311-11f0-948a-42dde27851f2","PLAN.md","ff57afba-f0c9-11f0-8caa-42dde27851f2",315,["D",1768591555002],6,"# Notion Life Tracker Plan\n\n## What we've built so far\n\n- A Notion database for blood sugar readings\n- A Val Town script that pulls the last 7 days of entries\n- Weekly stats with streaks, XP, and Praise Cage-themed badges\n- A friendly email report sent on a schedule (free tier friendly)\n- Tests for core logic (streaks, badges, XP)\n- A SQLite rollup module stub for future storage\n- A food log enricher that reads Notion entries, estimates macros with OpenAI, and writes them back\n- Weekly rollups persisted to SQLite for blood sugar and food\n\n## Why this works well\n\n- We only query Notion for a small time window (fast even as Notion grows)\n- We compute the rollup once per week and send it as a summary\n- We can reuse the same pattern for other life areas (exercise, meals, goals)\n\n## Next step: analyze rollups in SQLite\n\nWe store weekly rollups (badges, streaks, XP) in Val Town’s SQLite so we can:\n- build monthly and yearly summaries without re-reading Notion\n- compare across categories (e.g., blood sugar vs exercise)\n- keep a long-term history even if we rename Notion pages\n\n## Proposed storage shape\n\n- `weekly_rollups`: one row per category per week\n- `badge_events`: a history of badges earned\n\nEach rollup stores:\n- category (e.g., `blood_sugar`)\n- period start/end (YYYY-MM-DD)\n- streak, completion rate, XP\n- badges as JSON\n- summary stats as JSON\n\n## How new trackers fit in\n\nFor each new Notion database:\n1) Add a small “collector” val that maps entries into a shared event format.\n2) Reuse the rollup logic and write weekly results to SQLite.\n3) Generate emails or dashboards from the stored rollups.\n\nThis keeps the system simple while still scaling to many life areas.\n\n## What’s left to do\n\n- Define XP/badge rule config so new trackers can reuse it\n- Add monthly and yearly rollup reports (from SQLite, not Notion)\n- Add a sample “collector” val for another Notion database (e.g., exercise)\n - Add run_id generation strategy (UUID or deterministic) and document it\n - Validate email layout on Gmail mobile and adjust spacing if needed\n- Improve food enrichment matching (confidence threshold, caching, or manual overrides)\n",[157],"8ac8f058-f0c1-11f0-8753-42dde27851f2",".gitignore","8ac8f116-f0c1-11f0-8753-42dde27851f2",8,["D",1768337449610],".DS_Store\n.env\n*.log\n.vt\n",[165],"2c99b632-f307-11f0-990d-42dde27851f2",".env.example","8ac592f0-f0c1-11f0-b3c8-42dde27851f2",264,["D",1768587258698],"NOTION_TOKEN=\nNOTION_BLOOD_SUGAR_DB_ID=\nNOTION_FOOD_DB_ID=\nREPORT_FROM_EMAIL=\nREPORT_FROM_NAME=\nREPORT_REPLY_TO=\nROLLUP_PERSIST_URL=\nROLLUP_PERSIST_TOKEN=\n",[172],"0817ce82-f309-11f0-9638-42dde27851f2","tests","0817cf4a-f309-11f0-9638-42dde27851f2",272,["D",1768588056443],"directory",[179],"082c3930-f0ca-11f0-9dc7-42dde27851f2","storage","082c3a0c-f0ca-11f0-9dc7-42dde27851f2",27,["D",1768341095957],[186],"25688aae-f23b-11f0-a33f-42dde27851f2","shared","25688b9e-f23b-11f0-a33f-42dde27851f2",96,["D",1768499629303],[192],"250d8f1e-f23b-11f0-88fe-42dde27851f2","services","250d8fd2-f23b-11f0-88fe-42dde27851f2",92,["D",1768499628695],[198],"25490ec2-f23b-11f0-a33f-42dde27851f2","collectors","25490f94-f23b-11f0-a33f-42dde27851f2",95,["D",1768499629095],[204],"25774a44-f23b-11f0-a33f-42dde27851f2",".vscode","25774b16-f23b-11f0-a33f-42dde27851f2",97,["D",1768499629401],[210],"pulls","branches",1,"forks","envVars",{"_223":225,"_226":60},"connections",{"_223":60,"_224":60},"count","unfilledCount",12,"emptyCount",{"_42":209,"_31":210,"_29":211,"_141":-5,"_40":41,"_39":212,"_143":122,"_37":409,"_13":60,"_33":183,"_35":-5,"_23":24,"_146":-5,"_254":410,"_26":411},{"_42":401,"_31":402,"_29":403,"_141":211,"_40":41,"_39":404,"_143":122,"_37":405,"_13":60,"_33":20,"_35":406,"_23":24,"_146":-5,"_254":407,"_26":408},{"_42":393,"_31":394,"_29":395,"_141":211,"_40":41,"_39":396,"_143":122,"_37":397,"_13":60,"_33":20,"_35":398,"_23":24,"_146":-5,"_254":399,"_26":400},{"_42":203,"_31":204,"_29":205,"_141":-5,"_40":41,"_39":206,"_143":122,"_37":390,"_13":60,"_33":183,"_35":-5,"_23":24,"_146":-5,"_254":391,"_26":392},{"_42":381,"_31":382,"_29":383,"_141":205,"_40":41,"_39":384,"_143":24,"_37":385,"_13":386,"_33":377,"_35":387,"_23":24,"_146":-5,"_254":388,"_26":389},{"_42":371,"_31":372,"_29":373,"_141":205,"_40":41,"_39":374,"_143":24,"_37":375,"_13":376,"_33":377,"_35":378,"_23":24,"_146":-5,"_254":379,"_26":380},{"_42":197,"_31":198,"_29":199,"_141":-5,"_40":41,"_39":200,"_143":122,"_37":368,"_13":60,"_33":183,"_35":-5,"_23":24,"_146":-5,"_254":369,"_26":370},{"_42":360,"_31":361,"_29":362,"_141":199,"_40":41,"_39":363,"_143":24,"_37":364,"_13":60,"_33":356,"_35":365,"_23":24,"_146":-5,"_254":366,"_26":367},{"_42":351,"_31":352,"_29":353,"_141":199,"_40":41,"_39":354,"_143":122,"_37":355,"_13":217,"_33":356,"_35":357,"_23":24,"_146":-5,"_254":358,"_26":359},{"_42":191,"_31":192,"_29":193,"_141":-5,"_40":41,"_39":194,"_143":122,"_37":348,"_13":60,"_33":183,"_35":-5,"_23":24,"_146":-5,"_254":349,"_26":350},{"_42":339,"_31":340,"_29":341,"_141":193,"_40":41,"_39":342,"_143":24,"_37":343,"_13":344,"_33":34,"_35":345,"_23":24,"_146":-5,"_254":346,"_26":347},{"_42":331,"_31":332,"_29":333,"_141":193,"_40":41,"_39":334,"_143":24,"_37":335,"_13":60,"_33":34,"_35":336,"_23":24,"_146":-5,"_254":337,"_26":338},{"_42":322,"_31":323,"_29":324,"_141":193,"_40":41,"_39":325,"_143":24,"_37":326,"_13":327,"_33":34,"_35":328,"_23":24,"_146":-5,"_254":329,"_26":330},{"_42":314,"_31":315,"_29":316,"_141":193,"_40":41,"_39":317,"_143":24,"_37":318,"_13":217,"_33":34,"_35":319,"_23":24,"_146":-5,"_254":320,"_26":321},{"_42":185,"_31":186,"_29":187,"_141":-5,"_40":41,"_39":188,"_143":122,"_37":311,"_13":60,"_33":183,"_35":-5,"_23":24,"_146":-5,"_254":312,"_26":313},{"_42":302,"_31":303,"_29":304,"_141":187,"_40":41,"_39":305,"_143":24,"_37":306,"_13":307,"_33":34,"_35":308,"_23":24,"_146":-5,"_254":309,"_26":310},{"_42":178,"_31":179,"_29":180,"_141":-5,"_40":41,"_39":181,"_143":122,"_37":299,"_13":60,"_33":183,"_35":-5,"_23":24,"_146":-5,"_254":300,"_26":301},{"_42":290,"_31":291,"_29":292,"_141":180,"_40":41,"_39":293,"_143":24,"_37":294,"_13":295,"_33":34,"_35":296,"_23":24,"_146":-5,"_254":297,"_26":298},{"_42":286,"_31":32,"_29":30,"_141":180,"_40":41,"_39":14,"_143":122,"_37":287,"_13":60,"_33":34,"_35":36,"_23":24,"_146":-5,"_254":288,"_26":289},{"_42":277,"_31":278,"_29":279,"_141":180,"_40":41,"_39":280,"_143":24,"_37":281,"_13":282,"_33":34,"_35":283,"_23":24,"_146":-5,"_254":284,"_26":285},{"_42":269,"_31":270,"_29":271,"_141":180,"_40":41,"_39":272,"_143":122,"_37":273,"_13":217,"_33":34,"_35":274,"_23":24,"_146":-5,"_254":275,"_26":276},{"_42":171,"_31":172,"_29":173,"_141":-5,"_40":41,"_39":174,"_143":24,"_37":266,"_13":167,"_33":20,"_35":176,"_23":24,"_146":-5,"_254":267,"_26":268},{"_42":164,"_31":165,"_29":166,"_141":-5,"_40":41,"_39":167,"_143":24,"_37":263,"_13":60,"_33":20,"_35":169,"_23":24,"_146":-5,"_254":264,"_26":265},{"_42":156,"_31":157,"_29":158,"_141":-5,"_40":41,"_39":159,"_143":24,"_37":260,"_13":161,"_33":20,"_35":162,"_23":24,"_146":-5,"_254":261,"_26":262},{"_42":148,"_31":149,"_29":150,"_141":-5,"_40":41,"_39":151,"_143":24,"_37":257,"_13":153,"_33":20,"_35":154,"_23":24,"_146":-5,"_254":258,"_26":259},{"_42":138,"_31":139,"_29":140,"_141":-5,"_40":41,"_39":142,"_143":24,"_37":253,"_13":60,"_33":20,"_35":145,"_23":24,"_146":-5,"_254":255,"_26":256},["D",1768499698155],"children",[],[139],["D",1768596639990],[],[149],["D",1768591555002],[],[157],["D",1768337449610],[],[165],["D",1768587258698],[],[172],"d38333c4-f311-11f0-9c46-42dde27851f2","rollups.test.ts","cf244a02-f311-11f0-8a46-42dde27851f2",326,["D",1768591833699],"import { buildUpsertWeeklyRollupQuery, type WeeklyRollup } from \"../storage/rollups.ts\";\nimport { assertEquals } from \"https://deno.land/std@0.224.0/assert/mod.ts\";\n\n// Ensures persistence overwrites by runId instead of inserting duplicates.\nDeno.test(\"buildUpsertWeeklyRollupQuery uses INSERT OR REPLACE with runId\", () => {\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",[],[179,270],"d7dd5e86-f311-11f0-84ea-42dde27851f2","notion_weekly_report.test.ts","46d7e2ba-f0ca-11f0-b918-42dde27851f2",327,["D",1768591841001],15,"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, \"6:33 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",[],[179,278],"0452ba82-f31d-11f0-9bc9-42dde27851f2",["D",1768596640052],[],[179,32],"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",[],[179,291],["D",1768588056443],[244,245,246,247],[179],"8c4cb124-f311-11f0-b07e-42dde27851f2","rollups.ts","08468100-f0ca-11f0-80e1-42dde27851f2",317,["D",1768591714215],3,"import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\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 ${WEEKLY_ROLLUPS_TABLE}\n WHERE category = ?\n AND period_start >= ?\n AND period_end <= ?\n ORDER BY period_start ASC`,\n [category, start, end],\n );\n return result.rows;\n}\n",[],[186,303],["D",1768341095957],[242],[186],"3cceacb4-f303-11f0-ad58-42dde27851f2","notion.ts","2dc9ba38-f23b-11f0-b902-42dde27851f2",250,["D",1768585567902],"export const NOTION_VERSION = \"2022-06-28\";\n\nexport type NotionRichText = { plain_text: string };\nexport type NotionDateProperty = { date: { start: string } | null };\nexport type NotionNumberProperty = { number: number | null };\nexport type NotionTextProperty = { rich_text: NotionRichText[] };\nexport type NotionCreatedTimeProperty = { created_time: string };\nexport type NotionTitleProperty = { title: NotionRichText[] };\n\nexport type NotionPage = {\n id: string;\n properties: Record;\n};\n\nexport type NotionQueryResponse = {\n results: NotionPage[];\n has_more: boolean;\n next_cursor: string | null;\n};\n\nexport async function fetchNotionPages(\n databaseId: string,\n token: string,\n buildBody: (cursor?: string) => Record,\n): Promise {\n const url = `https://api.notion.com/v1/databases/${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} ${text}`);\n }\n\n const data = (await response.json()) as unknown;\n if (!isNotionQueryResponse(data)) {\n throw new Error(\"Notion query returned unexpected shape.\");\n }\n\n pages.push(...(data.results as T[]));\n cursor = data.has_more && data.next_cursor ? data.next_cursor : undefined;\n } while (cursor);\n\n return pages;\n}\n\nexport async function updateNotionPage(\n pageId: string,\n token: string,\n properties: Record,\n): Promise {\n const url = `https://api.notion.com/v1/pages/${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\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",[],[192,315],"03d7aa2c-f30e-11f0-9f4a-42dde27851f2","food_enrich.ts","659ce588-f309-11f0-b22d-42dde27851f2",309,["D",1768590196797],5,"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\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\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\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\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\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\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\nexport function buildNutritionProperties(macros: Partial>): Record {\n // Shape Notion property updates for numeric columns only.\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\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}-${end}`;\n\n return {\n category: \"food\",\n periodStart: start,\n periodEnd: end,\n streak,\n completionRate,\n xp: 0,\n badges: [],\n stats: {\n totalEntries,\n uniqueDays,\n entriesByDate,\n avgEntriesPerDay,\n minEntriesPerDay,\n maxEntriesPerDay,\n macroSummary,\n },\n runId,\n };\n}\n\nexport function roundNumber(value: number): number {\n return Number(value.toFixed(2));\n}\n\nexport function buildNutritionPrompt(food: string): string {\n return `Estimate macros for: \"${food}\". Assume a typical single serving.`;\n}\n\nexport function safeParseJson(value: string): unknown {\n // Guard against non-JSON responses from the model.\n try {\n return JSON.parse(value);\n } catch {\n return null;\n }\n}\n\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\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\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",[],[192,323],"2de18ee2-f23b-11f0-8627-42dde27851f2","date.ts","2de18fc8-f23b-11f0-8627-42dde27851f2",227,["D",1768499643520],"export 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\nexport function toDateOnly(date: Date): string {\n return date.toISOString().slice(0, 10);\n}\n\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\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\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\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",[],[192,332],"972a2e3c-f311-11f0-aa05-42dde27851f2","blood_sugar_logic.ts","e6a27e5e-f309-11f0-8d21-42dde27851f2",318,["D",1768591732427],4,"import { calculateCurrentStreak, countEntriesByDate, listDateRange } from \"./date.ts\";\nimport {\n type NotionCreatedTimeProperty,\n type NotionDateProperty,\n type NotionNumberProperty,\n type NotionTextProperty,\n} from \"./notion.ts\";\n\nconst XP_PER_ENTRY = 12;\nconst STREAK_BONUS_MULTIPLIER = 1.2;\nconst HEALTHY_AVG_BONUS_MULTIPLIER = 1.2;\nconst HEALTHY_AVG_THRESHOLD = 100;\n\nexport type BloodSugarNotionPage = {\n id: string;\n properties: {\n \"Measurement Date\"?: NotionDateProperty;\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\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 date = props[\"Measurement Date\"]?.date?.start ?? null;\n const value = props[\"Blood Sugar Level\"]?.number ?? null;\n if (!date || typeof value !== \"number\") return null;\n\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 const createdTime = formatCreatedTime(createdTimeRaw);\n return { date: date.slice(0, 10), createdTime, value };\n}\n\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: \"UTC\",\n });\n}\n\nexport function hasPerfectWeekStreak(dateRange: string[], dateCounts: Record): boolean {\n return dateRange.length >= 7 && dateRange.every((date) => (dateCounts[date] ?? 0) >= 2);\n}\n\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\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\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\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\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\nexport function formatGroupedEntryLine(group: GroupedEntries): string {\n const [first, second] = formatFirstSecondText(group);\n return `${group.date} | 1st: ${first} | 2nd: ${second}`;\n}\n\nexport function isCreatedTimeProperty(value: unknown): value is NotionCreatedTimeProperty {\n return (\n !!value &&\n typeof value === \"object\" &&\n \"created_time\" in value &&\n typeof (value as { created_time?: unknown }).created_time === \"string\"\n );\n}\n\nexport function isTextProperty(value: unknown): value is NotionTextProperty {\n return (\n !!value &&\n typeof value === \"object\" &&\n \"rich_text\" in value &&\n Array.isArray((value as { rich_text?: unknown }).rich_text)\n );\n}\n\nfunction getMeridiem(value: string | null): \"AM\" | \"PM\" | null {\n if (!value) return null;\n const match = value.match(/\\b(AM|PM)\\b/i);\n if (!match) return null;\n return match[1].toUpperCase() as \"AM\" | \"PM\";\n}\n\nfunction formatFirstSecondText(group: GroupedEntries): [string, string] {\n const ordered = orderEntries(group);\n if (!ordered.length) return [\"—\", \"—\"];\n const first = String(ordered[0].value);\n if (ordered.length === 1) return [first, \"—\"];\n const secondValue = String(ordered[1].value);\n const overflow = ordered.length > 2 ? ` (+${ordered.length - 2})` : \"\";\n return [first, `${secondValue}${overflow}`];\n}\n\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",[],[192,340],["D",1768499629303],[237,238,239,240],[192],"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",[],[198,352],"044f05cc-f31d-11f0-b40c-42dde27851f2","monthly_report_page.http.tsx","044f06e4-f31d-11f0-b40c-42dde27851f2",330,["D",1768596640029],"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 \"https://esm.town/v/std/sqlite\";\nimport {\n aggregateBloodSugarMonth,\n aggregateFoodMonth,\n resolveMonthRange,\n type Rollup,\n} from \"../shared/monthly_report.ts\";\n\nexport default async function (req: Request) {\n const url = new URL(req.url);\n const { start, end } = resolveMonthRange(url.searchParams.get(\"month\"));\n const includePartialWeeks = url.searchParams.get(\"partial\") === \"true\";\n\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 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.\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) =>\n rowToRollup(row as unknown[]),\n );\n}\n\n// Convert SQLite row arrays into typed rollup objects.\nfunction rowToRollup(row: unknown[]): Rollup {\n const [\n category,\n periodStart,\n periodEnd,\n streak,\n completionRate,\n xp,\n badgesJson,\n statsJson,\n runId,\n ] = row;\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\nfunction ReportPage(props: {\n monthStart: string;\n monthEnd: string;\n includePartialWeeks: boolean;\n bloodSugar: ReturnType;\n food: ReturnType;\n}) {\n const { monthStart, monthEnd, includePartialWeeks, bloodSugar, food } = props;\n const title = \"Praise Cage Monthly Rollup\";\n return (\n \n \n \n \n {title}\n \n \n \n

{title}

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

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

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

\n );\n}\n",[],[198,361],["D",1768499628695],[234,235],[198],"320d835a-f311-11f0-a014-42dde27851f2","food_report.cron.tsx","f851115a-f233-11f0-a807-42dde27851f2",316,["D",1768591562806],25,"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 {\n buildNutritionPrompt,\n buildNutritionProperties,\n buildFoodRollup,\n coerceMacros,\n type Entry,\n type MacroKey,\n parseEntry,\n PROPERTY_NAMES,\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\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);\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): Promise<{\n macros: Partial>;\n} | null> {\n // Ask the model for a strict JSON payload and coerce to numeric fields.\n const prompt = buildNutritionPrompt(foodName);\n // Keep the OpenAI request compact to control costs.\n\n const completion = await openai.chat.completions.create({\n model: \"gpt-5-nano\",\n messages: [\n {\n role: \"system\",\n content:\n \"You estimate nutrition macros from short food descriptions. \" +\n \"Respond with a single JSON object with numeric fields: \" +\n \"calories, protein, carbs, fat, fiber, sugar, sodium. \" +\n \"Use grams for macros and milligrams for sodium. \" +\n \"If unsure, make a reasonable estimate. No extra text.\",\n },\n { role: \"user\", content: prompt },\n ],\n max_tokens: 120,\n });\n\n const text = completion.choices[0]?.message?.content?.trim();\n if (!text) return null;\n const parsed = safeParseJson(text);\n if (!parsed || typeof parsed !== \"object\") return null;\n const macros = coerceMacros(parsed as Record);\n if (!Object.keys(macros).length) return null;\n return { macros };\n}\n",[],[204,372],"bbb93af4-f311-11f0-83cc-42dde27851f2","blood_sugar_report.cron.tsx","905c839c-f0bf-11f0-b356-42dde27851f2",323,["D",1768591793746],51,"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} 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: \"Measurement Date\", date: { on_or_after: start } },\n { property: \"Measurement Date\", date: { on_or_before: end } },\n ],\n },\n sorts: [{ property: \"Measurement Date\", 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

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