Hi

\",\n});\n```\n\n## Val Town Utility Functions\n\nVal Town provides several utility functions to help with common project tasks.\n\n### Importing Utilities\n\nAlways import utilities with version pins to avoid breaking changes:\n\n```ts\nimport {\n parseProject,\n readFile,\n serveFile,\n} from \"https://esm.town/v/std/utils@85-main/index.ts\";\n```\n\n### Available Utilities\n\n#### **serveFile** - Serve project files with proper content types\n\nFor example, in Hono:\n\n```ts\n// serve all files in frontend/ and shared/\napp.get(\"/frontend/*\", (c) => serveFile(c.req.path, import.meta.url));\napp.get(\"/shared/*\", (c) => serveFile(c.req.path, import.meta.url));\n```\n\n#### **readFile** - Read files from within the project:\n\n```ts\n// Read a file from the project\nconst fileContent = await readFile(\"/frontend/index.html\", import.meta.url);\n```\n\n#### **listFiles** - List all files in the project\n\n```ts\nconst files = await listFiles(import.meta.url);\n```\n\n#### **parseProject** - Extract information about the current project from import.meta.url\n\nThis is useful for including info for linking back to a val, ie in \"view source\"\nurls:\n\n```ts\nconst projectVal = parseProject(import.meta.url);\nconsole.log(projectVal.username); // Owner of the project\nconsole.log(projectVal.name); // Project name\nconsole.log(projectVal.version); // Version number\nconsole.log(projectVal.branch); // Branch name\nconsole.log(projectVal.links.self.project); // URL to the project page\n```\n\nHowever, it's _extremely importing_ to note that `parseProject` and other\nStandard Library utilities ONLY RUN ON THE SERVER. If you need access to this\ndata on the client, run it in the server and pass it to the client by splicing\nit into the HTML page or by making an API request for it.\n\n## Val Town Platform Specifics\n\n- **Redirects:** Use\n `return new Response(null, { status: 302, headers: { Location: \"/place/to/redirect\" }})`\n instead of `Response.redirect` which is broken\n- **Images:** Avoid external images or base64 images. Use emojis, unicode\n symbols, or icon fonts/libraries instead\n- **AI Image:** To inline generate an AI image use:\n `

`\n- **Storage:** DO NOT use the Deno KV module for storage\n- **Browser APIs:** DO NOT use the `alert()`, `prompt()`, or `confirm()` methods\n- **Weather Data:** Use open-meteo for weather data (doesn't require API keys)\n unless otherwise specified\n- **View Source:** Add a view source link by importing & using\n `import.meta.url.replace(\"esm.sh\", \"val.town)\"` (or passing this data to the\n client) and include `target=\"_top\"` attribute\n- **Error Debugging:** Add\n `` to HTML to capture\n client-side errors\n- **Error Handling:** Only use try...catch when there's a clear local\n resolution; Avoid catches that merely log or return 500s. Let errors bubble up\n with full context\n- **Environment Variables:** Use `Deno.env.get('keyname')` when you need to, but\n generally prefer APIs that don't require keys\n- **Imports:** Use `https://esm.sh` for npm and Deno dependencies to ensure\n compatibility on server and browser\n- **Storage Strategy:** Only use backend storage if explicitly required; prefer\n simple static client-side sites\n- **React Configuration:** When using React libraries, pin versions with\n `?deps=react@18.2.0,react-dom@18.2.0` and start the file with\n `/** @jsxImportSource https://esm.sh/react@18.2.0 */`\n- Ensure all React dependencies and sub-dependencies are pinned to the same\n version\n- **Styling:** Default to using TailwindCSS via\n `` unless otherwise\n specified\n\n## Project Structure and Design Patterns\n\n### Recommended Directory Structure\n\n```\n├── backend/\n│ ├── database/\n│ │ ├── migrations.ts # Schema definitions\n│ │ ├── queries.ts # DB query functions\n│ │ └── README.md\n│ └── routes/ # Route modules\n│ ├── [route].ts\n│ └── static.ts # Static file serving\n│ ├── index.ts # Main entry point\n│ └── README.md\n├── frontend/\n│ ├── components/\n│ │ ├── App.tsx\n│ │ └── [Component].tsx\n│ ├── favicon.svg\n│ ├── index.html # Main HTML template\n│ ├── index.tsx # Frontend JS entry point\n│ ├── README.md\n│ └── style.css\n├── README.md\n└── shared/\n ├── README.md\n └── utils.ts # Shared types and functions\n```\n\n### Backend (Hono) Best Practices\n\n- Hono is the recommended API framework\n- Main entry point should be `backend/index.ts`\n- **Static asset serving:** Use the utility functions to read and serve project\n files:\n ```ts\n import {\n readFile,\n serveFile,\n } from \"https://esm.town/v/std/utils@85-main/index.ts\";\n\n // serve all files in frontend/ and shared/\n app.get(\"/frontend/*\", (c) => serveFile(c.req.path, import.meta.url));\n app.get(\"/shared/*\", (c) => serveFile(c.req.path, import.meta.url));\n\n // For index.html, often you'll want to bootstrap with initial data\n app.get(\"/\", async (c) => {\n let html = await readFile(\"/frontend/index.html\", import.meta.url);\n\n // Inject data to avoid extra round-trips\n const initialData = await fetchInitialData();\n const dataScript = ``;\n\n html = html.replace(\"\", `${dataScript}`);\n return c.html(html);\n });\n ```\n- Create RESTful API routes for CRUD operations\n- Always include this snippet at the top-level Hono app to re-throwing errors to\n see full stack traces:\n ```ts\n // Unwrap Hono errors to see original error details\n app.onError((err, c) => {\n throw err;\n });\n ```\n\n### Database Patterns\n\n- Run migrations on startup or comment out for performance\n- Change table names when modifying schemas rather than altering\n- Export clear query functions with proper TypeScript typing\n\n## Common Gotchas and Solutions\n\n1. **Environment Limitations:**\n - Val Town runs on Deno in a serverless context, not Node.js\n - Code in `shared/` must work in both frontend and backend environments\n - Cannot use `Deno` keyword in shared code\n - Use `https://esm.sh` for imports that work in both environments\n\n2. **SQLite Peculiarities:**\n - Limited support for ALTER TABLE operations\n - Create new tables with updated schemas and copy data when needed\n - Always run table creation before querying\n\n3. **React Configuration:**\n - All React dependencies must be pinned to 18.2.0\n - Always include `@jsxImportSource https://esm.sh/react@18.2.0` at the top of\n React files\n - Rendering issues often come from mismatched React versions\n\n4. **File Handling:**\n - Val Town only supports text files, not binary\n - Use the provided utilities to read files across branches and forks\n - For files in the project, use `readFile` helpers\n\n5. **API Design:**\n - `fetch` handler is the entry point for HTTP vals\n - Run the Hono app with\n `export default app.fetch // This is the entry point for HTTP 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type QuestionType =\n | \"single_choice\"\n | \"multi_choice\"\n | \"scale\"\n | \"free_text\"\n | \"ranked_choice\"\n | \"word_cloud\"\n | \"emoji_reaction\"\n | \"matrix_2x2\";\n\nexport type MatrixSize = 2 | 4 | 6;\n\nexport interface MatrixAxisLabels {\n left: string;\n right: string;\n bottom: string;\n top: string;\n}\n\nexport interface MatrixReference {\n id: string;\n row: number;\n column: number;\n label: string;\n}\n\nexport interface MatrixAnswer {\n row: number;\n column: number;\n}\n\nexport interface Option {\n id: string;\n label: string;\n}\n\nexport interface Question {\n id: string;\n position: number;\n type: QuestionType;\n prompt: string;\n options: Option[]; // for choice/ranked/emoji types\n scaleMin?: number; // for scale\n scaleMax?: number;\n matrixSize?: MatrixSize;\n matrixAxisLabels?: MatrixAxisLabels;\n matrixReferences?: MatrixReference[];\n isDemographic: boolean;\n required: boolean;\n released: boolean; // available to respondents and eligible for public results\n hidden: boolean; // per-question hide override on results\n}\n\nexport interface Survey {\n id: string;\n slug: string;\n title: string;\n description: string;\n resultsVisible: boolean;\n acceptingResponses: boolean;\n audienceFacets: boolean; // can the audience use group-by on results?\n createdAt: string;\n questions: Question[];\n}\n\nexport type QuestionDraft = Pick<\n Question,\n | \"type\"\n | \"prompt\"\n | \"options\"\n | \"scaleMin\"\n | \"scaleMax\"\n | \"matrixSize\"\n | \"matrixAxisLabels\"\n | \"matrixReferences\"\n>;\n\nexport interface QuestionProposal {\n id: string;\n draft: QuestionDraft;\n status: \"pending\" | \"approved\";\n createdAt: string;\n voteCount: number;\n voted: boolean;\n}\n\nexport interface ProposalsPayload {\n proposals: QuestionProposal[];\n acceptingResponses: boolean;\n}\n\n/** Answer values: single -> optionId; multi -> optionId[]; scale -> number;\n * free_text/word_cloud -> string; ranked_choice -> optionId[] (ordered);\n * emoji -> optionId; matrix -> zero-based row/column. */\nexport type AnswerValue = string | number | string[] | MatrixAnswer;\n\nexport type Answers = Record;\n\nexport interface IRVRound {\n round: number;\n tallies: Record;\n eliminated: string | null;\n winner: string | null;\n}\n\nexport interface QuestionAggregate {\n questionId: string;\n type: QuestionType;\n responseCount: number;\n /** For choice/emoji: counts by optionId. */\n counts?: Record;\n /** For scale: counts by value, plus mean. */\n distribution?: Record;\n mean?: number | null;\n /** For text/word cloud. */\n texts?: string[];\n words?: { text: string; value: number }[];\n /** For ranked choice. */\n irv?: IRVRound[];\n borda?: Record;\n firstChoice?: Record;\n /** For matrix questions: counts keyed by \"row,column\". */\n matrixCounts?: Record;\n}\n\nexport interface FacetGroup {\n key: string; // optionId or scale value, or \"__all__\"\n label: string;\n responseCount: number;\n aggregates: QuestionAggregate[];\n}\n\nexport interface ResultsPayload {\n survey: Survey;\n totalResponses: number;\n groupBy: string | null;\n groups: FacetGroup[];\n}\n\nexport const QUESTION_TYPE_LABELS: Record = {\n single_choice: \"Multiple choice (pick one)\",\n multi_choice: \"Multiple choice (pick many)\",\n scale: \"Scale / rating\",\n free_text: \"Free text\",\n ranked_choice: \"Ranked choice\",\n word_cloud: \"Word cloud (one word/phrase)\",\n emoji_reaction: \"Emoji reaction\",\n matrix_2x2: \"2×2 matrix\",\n};\n\nexport const DEFAULT_EMOJIS = [\"🔥\", \"😍\", \"🤔\", \"😴\", \"😂\", \"🤯\"];\n\nexport function hasOptions(t: QuestionType) {\n return t === \"single_choice\" || t === \"multi_choice\" ||\n t === \"ranked_choice\" || t === \"emoji_reaction\";\n}\n",[],[171,260],"1c356253-eee6-4e2e-a2c4-a7ae3fc04d57","questions.ts","01a07eb4-dd73-7315-964a-a566b360c97c",15,["D",1788832507812],"import { DEFAULT_EMOJIS, hasOptions, QUESTION_TYPE_LABELS } from \"./types.ts\";\nimport type {\n MatrixAnswer,\n MatrixAxisLabels,\n MatrixReference,\n MatrixSize,\n Question,\n QuestionDraft,\n QuestionType,\n} from \"./types.ts\";\n\nexport const QUESTION_LIMITS = {\n prompt: 500,\n optionLabel: 120,\n options: 20,\n scaleSteps: 21,\n matrixAxisLabel: 60,\n matrixReferenceLabel: 120,\n matrixReferences: 100,\n};\n\nexport const MATRIX_SIZES: MatrixSize[] = [2, 4, 6];\n\nexport const DEFAULT_MATRIX_AXIS_LABELS: MatrixAxisLabels = {\n left: \"Left\",\n right: \"Right\",\n bottom: \"Bottom\",\n top: \"Top\",\n};\n\nexport class QuestionValidationError extends Error {}\n\nexport function newQuestion(type: QuestionType = \"single_choice\"): Question {\n return {\n id: crypto.randomUUID(),\n position: 0,\n type,\n prompt: \"\",\n options: hasOptions(type)\n ? (type === \"emoji_reaction\" ? DEFAULT_EMOJIS : [\"\", \"\"]).map((\n label,\n ) => ({\n id: crypto.randomUUID(),\n label,\n }))\n : [],\n ...(type === \"scale\" ? { scaleMin: 1, scaleMax: 5 } : {}),\n ...(type === \"matrix_2x2\"\n ? {\n matrixSize: 2 as MatrixSize,\n matrixAxisLabels: { ...DEFAULT_MATRIX_AXIS_LABELS },\n matrixReferences: [],\n }\n : {}),\n isDemographic: false,\n required: false,\n released: false,\n hidden: false,\n };\n}\n\n/** Questions saved before progressive release existed remain audience-visible. */\nexport function normalizeStoredQuestions(raw: unknown): Question[] {\n if (!Array.isArray(raw)) return [];\n return raw.map((question, position) => {\n const stored = question as Question;\n return {\n ...stored,\n position,\n released: typeof (question as Partial)?.released === \"boolean\"\n ? stored.released\n : true,\n ...(stored.type === \"matrix_2x2\"\n ? {\n matrixSize: isMatrixSize(stored.matrixSize) ? stored.matrixSize : 2,\n matrixAxisLabels: normalizeStoredAxisLabels(stored.matrixAxisLabels),\n matrixReferences: normalizeStoredReferences(\n stored.matrixReferences,\n isMatrixSize(stored.matrixSize) ? stored.matrixSize : 2,\n ),\n isDemographic: false,\n }\n : {}),\n };\n });\n}\n\nfunction record(raw: unknown): Record {\n if (!raw || typeof raw !== \"object\" || Array.isArray(raw)) {\n throw new QuestionValidationError(\"Provide a question object.\");\n }\n return raw as Record;\n}\n\nfunction text(raw: unknown, max: number, label: string): string {\n if (typeof raw !== \"string\" || !raw.trim() || raw.trim().length > max) {\n throw new QuestionValidationError(\n `${label} must contain 1-${max} characters.`,\n );\n }\n return raw.trim();\n}\n\nexport function isMatrixSize(raw: unknown): raw is MatrixSize {\n return typeof raw === \"number\" && MATRIX_SIZES.includes(raw as MatrixSize);\n}\n\nexport function matrixCellKey(row: number, column: number): string {\n return `${row},${column}`;\n}\n\nexport function isMatrixAnswer(\n raw: unknown,\n size: MatrixSize,\n): raw is MatrixAnswer {\n if (!raw || typeof raw !== \"object\" || Array.isArray(raw)) return false;\n const answer = raw as Partial;\n return Number.isInteger(answer.row) && Number.isInteger(answer.column) &&\n answer.row! >= 0 && answer.row! < size &&\n answer.column! >= 0 && answer.column! < size;\n}\n\nexport function referencesWithinSize(\n references: MatrixReference[] | undefined,\n size: MatrixSize,\n): MatrixReference[] {\n return (references ?? []).filter((reference) =>\n Number.isInteger(reference.row) && Number.isInteger(reference.column) &&\n reference.row >= 0 && reference.row < size &&\n reference.column >= 0 && reference.column < size\n );\n}\n\nfunction normalizeStoredAxisLabels(raw: unknown): MatrixAxisLabels {\n if (!raw || typeof raw !== \"object\" || Array.isArray(raw)) {\n return { ...DEFAULT_MATRIX_AXIS_LABELS };\n }\n const labels = raw as Partial;\n return {\n left: typeof labels.left === \"string\" && labels.left.trim()\n ? labels.left\n : DEFAULT_MATRIX_AXIS_LABELS.left,\n right: typeof labels.right === \"string\" && labels.right.trim()\n ? labels.right\n : DEFAULT_MATRIX_AXIS_LABELS.right,\n bottom: typeof labels.bottom === \"string\" && labels.bottom.trim()\n ? labels.bottom\n : DEFAULT_MATRIX_AXIS_LABELS.bottom,\n top: typeof labels.top === \"string\" && labels.top.trim()\n ? labels.top\n : DEFAULT_MATRIX_AXIS_LABELS.top,\n };\n}\n\nfunction normalizeStoredReferences(\n raw: unknown,\n size: MatrixSize,\n): MatrixReference[] {\n if (!Array.isArray(raw)) return [];\n return referencesWithinSize(\n raw.flatMap((reference) => {\n if (\n !reference || typeof reference !== \"object\" ||\n typeof (reference as MatrixReference).id !== \"string\" ||\n typeof (reference as MatrixReference).label !== \"string\" ||\n !(reference as MatrixReference).label.trim()\n ) {\n return [];\n }\n return [{\n ...(reference as MatrixReference),\n label: (reference as MatrixReference).label.trim(),\n }];\n }).slice(0, QUESTION_LIMITS.matrixReferences),\n size,\n );\n}\n\nfunction matrixAxisLabels(raw: unknown): MatrixAxisLabels {\n const input = record(raw);\n return {\n left: text(input.left, QUESTION_LIMITS.matrixAxisLabel, \"Left axis label\"),\n right: text(\n input.right,\n QUESTION_LIMITS.matrixAxisLabel,\n \"Right axis label\",\n ),\n bottom: text(\n input.bottom,\n QUESTION_LIMITS.matrixAxisLabel,\n \"Bottom axis label\",\n ),\n top: text(input.top, QUESTION_LIMITS.matrixAxisLabel, \"Top axis label\"),\n };\n}\n\nfunction matrixReferences(raw: unknown, size: MatrixSize): MatrixReference[] {\n if (!Array.isArray(raw) || raw.length > QUESTION_LIMITS.matrixReferences) {\n throw new QuestionValidationError(\n `Provide no more than ${QUESTION_LIMITS.matrixReferences} matrix reference labels.`,\n );\n }\n return raw.map((reference) => {\n const input = record(reference);\n const row = input.row;\n const column = input.column;\n if (\n typeof row !== \"number\" || typeof column !== \"number\" ||\n !Number.isSafeInteger(row) || !Number.isSafeInteger(column) ||\n row < 0 || row >= size || column < 0 || column >= size\n ) {\n throw new QuestionValidationError(\n \"Matrix reference cells must be within the selected grid.\",\n );\n }\n return {\n id: crypto.randomUUID(),\n row,\n column,\n label: text(\n input.label,\n QUESTION_LIMITS.matrixReferenceLabel,\n \"Matrix reference label\",\n ),\n };\n });\n}\n\n/** Ignore client IDs and admin flags; every approved question gets fresh identifiers. */\nexport function normalizeDraft(raw: unknown): QuestionDraft {\n const input = record(raw);\n if (\n typeof input.type !== \"string\" ||\n !Object.hasOwn(QUESTION_TYPE_LABELS, input.type)\n ) {\n throw new QuestionValidationError(\"Choose a supported question type.\");\n }\n const type = input.type as QuestionType;\n const draft: QuestionDraft = {\n type,\n prompt: text(input.prompt, QUESTION_LIMITS.prompt, \"Question prompt\"),\n options: [],\n };\n if (hasOptions(type)) {\n if (\n !Array.isArray(input.options) || input.options.length < 2 ||\n input.options.length > QUESTION_LIMITS.options\n ) {\n throw new QuestionValidationError(\n `Provide 2-${QUESTION_LIMITS.options} options.`,\n );\n }\n draft.options = input.options.map((option) => ({\n id: crypto.randomUUID(),\n label: text(record(option).label, QUESTION_LIMITS.optionLabel, \"Option\"),\n }));\n if (\n new Set(draft.options.map((o) => o.label.toLowerCase())).size !==\n draft.options.length\n ) {\n throw new QuestionValidationError(\"Options must have distinct labels.\");\n }\n }\n if (type === \"scale\") {\n const min = input.scaleMin;\n const max = input.scaleMax;\n if (\n typeof min !== \"number\" || typeof max !== \"number\" ||\n !Number.isSafeInteger(min) ||\n !Number.isSafeInteger(max) || min < -100 || max > 100 || min >= max ||\n max - min + 1 > QUESTION_LIMITS.scaleSteps\n ) {\n throw new QuestionValidationError(\n \"Use integer scale bounds from -100 to 100, with 2-21 steps.\",\n );\n }\n draft.scaleMin = min;\n draft.scaleMax = max;\n }\n if (type === \"matrix_2x2\") {\n if (!isMatrixSize(input.matrixSize)) {\n throw new QuestionValidationError(\"Choose a 2x2, 4x4, or 6x6 matrix.\");\n }\n draft.matrixSize = input.matrixSize;\n draft.matrixAxisLabels = matrixAxisLabels(input.matrixAxisLabels);\n draft.matrixReferences = matrixReferences(\n input.matrixReferences,\n input.matrixSize,\n );\n }\n return draft;\n}\n\nexport function questionFromDraft(draft: QuestionDraft): Question {\n return { ...newQuestion(draft.type), ...draft };\n}\n\nexport function normalizeApprovedQuestion(raw: unknown): Question {\n const input = record(raw);\n const question = questionFromDraft(normalizeDraft(raw));\n for (const key of [\"required\", \"hidden\", \"isDemographic\"] as const) {\n if (input[key] !== undefined && typeof input[key] !== \"boolean\") {\n throw new QuestionValidationError(`${key} must be a boolean.`);\n }\n question[key] = input[key] === true;\n }\n const canFacet = [\"single_choice\", \"multi_choice\", \"scale\", \"emoji_reaction\"]\n .includes(question.type);\n question.isDemographic = canFacet && question.isDemographic;\n question.released = false;\n return question;\n}\n",[],[171,269],["D",1788832177531],[236,237],[171],"56b5fe37-a974-4306-b92b-5f27816d4f1c","root.tsx","01a07eb4-dd73-7315-964a-9c7eef264d2b",["D",1788832177531],"/** @jsxImportSource npm:hono@4/jsx */\nimport { raw } from \"npm:hono@4/html\";\nimport { immutableFileUrl } from \"https://esm.town/v/std/utils/index.ts\";\n\nexport function Root() {\n return (\n <>\n {raw(\"\")}\n \n \n \n \n Audience Survey\n

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