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\n setTitle(e.target.value)}\n required\n />\n setDescription(e.target.value)}\n />\n setFile(e.target.files[0])}\n required\n />\n \n \n );\n}\n\nfunction ArtGallery() {\n const [artworks, setArtworks] = useState([]);\n\n const fetchArtworks = async () => {\n try {\n const response = await fetch(\"/gallery\");\n if (response.ok) {\n const data = await response.json();\n setArtworks(data);\n }\n } catch (error) {\n console.error(\"Failed to fetch artworks:\", error);\n }\n };\n\n useEffect(() => {\n fetchArtworks();\n }, []);\n\n return (\n

Community Artworks 🖼️

\n {artworks.map((artwork) => (\n

\n \n

{artwork.title}

{artwork.description}

\n ))}\n

\n );\n}\n\nfunction App() {\n const [refreshGallery, setRefreshGallery] = useState(0);\n\n return (\n

ArtShare 🎨

\n setRefreshGallery(prev => prev + 1)}\n />\n \n

\n );\n}\n\nfunction client() {\n createRoot(document.getElementById(\"root\")).render();\n}\nif (typeof document !== \"undefined\") { client(); }\n\nexport default async function server(request: Request): Promise {\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n const KEY = new URL(import.meta.url).pathname.split(\"/\").at(-1);\n const SCHEMA_VERSION = 1;\n\n // Ensure table exists\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${KEY}_artworks_${SCHEMA_VERSION} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n title TEXT NOT NULL,\n description TEXT,\n image_path TEXT NOT NULL,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP\n )\n `);\n\n // Handle file upload\n if (request.method === \"POST\" && new URL(request.url).pathname === \"/upload\") {\n try {\n const formData = await request.formData();\n const title = formData.get(\"title\") as string;\n const description = formData.get(\"description\") as string;\n const file = formData.get(\"artwork\") as File;\n\n if (!file) {\n return new Response(\"No file uploaded\", { status: 400 });\n }\n\n // Generate a unique filename\n const filename = `artwork_${Date.now()}_${file.name}`;\n const filePath = `/tmp/${filename}`;\n\n // Write file to temporary storage\n const arrayBuffer = await file.arrayBuffer();\n await Deno.writeFile(filePath, new Uint8Array(arrayBuffer));\n\n // Save artwork metadata to SQLite\n await sqlite.execute(\n `INSERT INTO ${KEY}_artworks_${SCHEMA_VERSION} \n (title, description, image_path) VALUES (?, ?, ?)`,\n [title, description, filePath],\n );\n\n return new Response(\"Upload successful\", { status: 200 });\n } catch (error) {\n console.error(\"Upload error:\", error);\n return new Response(\"Upload failed\", { status: 500 });\n }\n }\n\n // Fetch gallery\n if (request.method === \"GET\" && new URL(request.url).pathname === \"/gallery\") {\n try {\n const result = await sqlite.execute(\n `SELECT id, title, description, image_path \n FROM ${KEY}_artworks_${SCHEMA_VERSION} \n ORDER BY created_at DESC LIMIT 50`,\n );\n\n // Convert image paths to base64 for client\n const artworks = await Promise.all(result.rows.map(async (row) => {\n const imageBuffer = await Deno.readFile(row.image_path);\n const base64Image = btoa(\n String.fromCharCode.apply(null, new Uint8Array(imageBuffer)),\n );\n\n return {\n id: row.id,\n title: row.title,\n description: row.description,\n imageUrl: `data:image/jpeg;base64,${base64Image}`,\n };\n }));\n\n return new Response(JSON.stringify(artworks), {\n headers: { \"Content-Type\": \"application/json\" },\n });\n } catch (error) {\n console.error(\"Gallery fetch error:\", error);\n return new Response(\"Failed to fetch gallery\", { status: 500 });\n }\n }\n\n // Serve HTML\n return new Response(\n `\n \n \n ArtShare\n \n \n \n

\n \n \n \n \n `,\n {\n headers: { \"Content-Type\": \"text/html\" },\n },\n );\n}\n\nconst css = `\nbody {\n font-family: 'Arial', sans-serif;\n max-width: 800px;\n margin: 0 auto;\n padding: 20px;\n background-color: #f4f4f4;\n}\n\n.art-share-app {\n background: white;\n padding: 20px;\n border-radius: 8px;\n box-shadow: 0 4px 6px rgba(0,0,0,0.1);\n}\n\n.art-upload-form {\n display: flex;\n flex-direction: column;\n gap: 10px;\n margin-bottom: 20px;\n}\n\n.art-upload-form input, \n.art-upload-form textarea {\n padding: 10px;\n border: 1px solid #ddd;\n border-radius: 4px;\n}\n\n.gallery-grid {\n display: grid;\n grid-template-columns: repeat(auto-fill, minmax(200px, 1fr));\n gap: 15px;\n}\n\n.artwork-card {\n background: #f9f9f9;\n border-radius: 8px;\n overflow: hidden;\n box-shadow: 0 2px 4px rgba(0,0,0,0.1);\n}\n\n.artwork-card img {\n width: 100%;\n height: 250px;\n object-fit: cover;\n}\n\n.artwork-details {\n padding: 10px;\n}\n\nbutton {\n background-color: #4CAF50;\n color: white;\n border: none;\n padding: 10px 15px;\n border-radius: 4px;\n cursor: pointer;\n transition: background-color 0.3s;\n}\n\nbutton:hover {\n background-color: #45a049;\n}\n`;","createdAt",["D",1739873839963],"version",1,"currentUserHasLiked","likeCount","forkCount","referenceCount","dependencyCount","commentCount","prCount","mergedPr",{"_129":130,"_131":132},"handle","Omar1163","profileImageUrl","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvdXBsb2FkZWQvaW1nXzJ0RDVFSzRxOFlQbTg4VFBManFweE8xMUhMeCJ9","forkedVal","interval","slug","Omar1163/artShareApp","description","versions",[140,143],{"_118":119,"_141":-5,"_116":142,"_113":111},"prId",["D",1739873839963],{"_118":31,"_141":-5,"_116":144,"_113":145},["D",1739873237024],"21fca0ea-ede0-11ef-984a-e6cdfca9ef9f","recentThread","breadcrumbs","comments",[],"isOwner","routes/_app.v.$handle.$name.dependencies",{"_153":154,"_221":119,"_222":136,"_223":31,"_94":224},"dependenciesList",[155],{"_100":156,"_157":158},"08f95904-3584-11ef-8995-0e10024e3b32","initialData",{"_98":159,"_95":160,"_100":156,"_102":161,"_103":-5,"_104":105,"_106":162,"_108":163,"_110":164,"_112":26,"_113":164,"_114":165,"_116":166,"_118":167,"_120":26,"_121":168,"_123":169,"_124":119,"_125":119,"_122":170,"_126":31,"_127":-5,"_20":171,"_133":174,"_134":-7,"_137":179,"_180":-5,"_135":181,"_138":182},"sqlite","a0bf3b31-15a5-4d5c-880e-4b1e22c9bc18","76a8911e-393e-11ef-8e71-de64eea55b61","# LLM-Safe Fork of @std/sqlite\n\nWe found that LLMs have trouble with the inputs and outputs of our @std/sqlite method.\n\n1. It expects the input to be `(sql: string, args: any[])` but it's `{ sql: string, args: any[] }`\n2. It expects the output to be objects, but they are arrays\n\nInstead of struggling to teach it, we built this val to be a wrapper around @std/sqlite that adheres to what the LLMs expect. \n\nThis val is also backwards-compatible with @std/sqlite, so we're considering merging it in.","script","5631f2d0-dcb9-11ef-80ec-e6cdfca9ef9f","import { API_URL } from \"https://esm.town/v/std/API_URL\";\nimport { LibsqlError, type ResultSet, type Row, type TransactionMode } from \"npm:@libsql/client\";\nimport { z } from \"npm:zod\";\n\n/**\n * Every Val Town account comes with its own private\n * [SQLite database](https://www.sqlite.org/) that\n * is accessible from any of your vals.\n * ([Docs ↗](https://docs.val.town/std/sqlite))\n */\nexport const sqlite = {\n /**\n * Executes a SQLite statement.\n *\n * @param {InStatement} statement - The SQLite statement to execute.\n * @example String query:\n * `sqlite.execute(\"SELECT 1;\")`\n * @example Query with arguments:\n * `sqlite.execute({sql: \"SELECT * from books WHERE year > ?;\", args: [2020]})`\n */\n execute,\n\n /**\n * Executes a batch of SQLite statements.\n *\n * @param {InStatement[]} statements - An array of SQLite statements to execute.\n * @param {TransactionMode} [mode] - The transaction mode for the batch execution.\n */\n batch,\n};\n\n// ------------\n// Functions\n// ------------\n\nasync function execute(statement: InStatement, args?: InArgs): Promise {\n const res = await fetch(`${API_URL}/v1/sqlite/execute`, {\n method: \"POST\",\n headers: {\n Authorization: `Bearer ${Deno.env.get(\"valtown\")}`,\n },\n body: JSON.stringify({ statement: normalizeStatement(statement, args) }),\n });\n if (!res.ok) {\n throw createResError(await res.text());\n }\n const resultSet = await res.json();\n return upgradeResultSet(resultSet);\n}\n\nasync function batch(statements: InStatement[], mode?: TransactionMode): Promise {\n if (mode && ![\"write\", \"read\", \"deferred\"].includes(mode)) {\n throw new Error(\"Invalid transaction mode provided to sqlite.batch. Must be 'write', 'read', or 'deferred.\");\n }\n const res = await fetch(`${API_URL}/v1/sqlite/batch`, {\n method: \"POST\",\n headers: {\n Authorization: `Bearer ${Deno.env.get(\"valtown\")}`,\n },\n body: JSON.stringify({ statements: statements.map(s => normalizeStatement(s)), mode }),\n });\n if (!res.ok) {\n throw createResError(await res.text());\n }\n const resultSets = await res.json();\n return resultSets.map(upgradeResultSet);\n}\n\nfunction createResError(body: string) {\n try {\n const e = zLibsqlError.parse(JSON.parse(body));\n // e.message already contains the code, and LibsqlError adds the\n // code to the beginning, so we remove it here\n const msg = e.message.replace(e.code, \"\").replace(/^:\\s+/, \"\");\n return new LibsqlError(msg, e.code, e.rawCode);\n } catch (_) {\n // Failed to parse libsql error\n }\n return new Error(body);\n}\n\n/* Val Town's Turso Proxy returns rows as an array of values\n * Yet the LibSQL API has a Row type which behave as an array or object,\n * ie you can access it via numerical index or string\n */\ninterface ImpoverishedResultSet extends ResultSet {\n rows: any[];\n}\n\nfunction normalizeStatement(statement: InStatement, args?: InArgs) {\n if (Array.isArray(statement)) {\n // for the case of an array of arrays\n return normalizeStatement(statement[0], statement[1]);\n }\n if (typeof statement === \"string\") {\n if (args) {\n return { sql: statement, args };\n } else return statement;\n }\n else if (typeof statement === \"object\") {\n if (statement.args) {\n return statement;\n }\n if (args) {\n return { sql: statement.sql, args };\n }\n return statement.sql;\n }\n else throw new Error(\"Error normalizing sql input\");\n}\n\nfunction upgradeResultSet(results: ImpoverishedResultSet): ResultSet {\n return {\n ...results,\n rows: results.rows.map(row => rowFromSql(row, results.columns)),\n };\n}\n\n// adapted from\n// https://github.com/tursodatabase/libsql-client-ts/blob/17dd996b840c950dd22b871adfe4ba0eb4a5ead3/packages/libsql-client/src/sqlite3.ts#L314C1-L337C2\nfunction rowFromSql(\n sqlRow: Array,\n columns: Array,\n): Row {\n const row = {};\n // make sure that the \"length\" property is not enumerable\n Object.defineProperty(row, \"length\", { value: sqlRow.length });\n for (let i = 0; i < sqlRow.length; ++i) {\n const value = sqlRow[i];\n Object.defineProperty(row, i, { value });\n\n const column = columns[i];\n if (!Object.hasOwn(row, column)) {\n Object.defineProperty(row, column, {\n value,\n enumerable: true,\n configurable: true,\n writable: true,\n });\n }\n }\n return row as Row;\n}\n\n// ------------\n// Helpers\n// ------------\n\nconst zLibsqlError = z.object({\n message: z.string(),\n code: z.string(),\n rawCode: z.number().optional(),\n});\n\n// We patch these types to only support JSON values\nexport type InValue = null | string | number | boolean;\nexport type InArgs = Array | Record;\nexport type InStatement = {\n /**\n * The SQL statement to execute.\n */\n sql: string;\n\n /**\n * The arguments to bind to the SQL statement.\n */\n args: InArgs;\n} | string;",["D",1737987404484],13,10,13378,21,{"_129":172,"_131":173},"stevekrouse","https://images.clerk.dev/uploaded/img_2PqHa2Gsy93xQrjh2w78Xu0cChW.jpeg",{"_113":175,"_129":176,"_98":159,"_118":177,"_178":-5},"56c849ee-f1f8-11ee-9b87-cab58f78796a","std",6,"prDisabledHint","LLM-Safe Fork of @std/sqlite We found that LLMs have trouble with the inputs and outputs of our @std/sqlite method. 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