[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_153":154,"_155":156},"routes/_app.x.$handle.$name",{"_95":94,"_32":45,"_103":85,"_27":104,"_13":14,"_105":-5,"_11":106,"_107":108,"_109":110,"_111":112,"_113":114,"_20":-5,"_115":-5,"_116":-5,"_117":25,"_118":119,"_120":57,"_121":-5,"_122":-5,"_123":124},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":-5,"_53":-5,"_18":54,"_55":31,"_56":57,"_58":57,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":25},"version",6,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.ts","latestPath","fileId","148dc388-aaac-11f0-9138-0224a6c84d84","name","fileType","http","content","// @filename: scaf.tsx\n// @description: Intelligently scaffolds new Val Town projects from a string, with a helpful UI.\n\nimport { OpenAI } from \"https://esm.town/v/std/openai?v=4\";\n\n// --- Frontend UI Generation ---\nfunction generateHtml() {\n return `\n\n\n \n \n Scaf | Project Scaffolder\n \n \n \n \n\n\n

Scaf ✨

You've got a brilliant idea. Let's bring it to life, instantly.

\n Paste your file structure here:\n \n \n Project Name (optional)\n \n \n \n

\n\n\n`;\n}\n\n// --- AI Function to Name and Describe the Project ---\nasync function generateProjectDetails(\n token: string,\n content: string,\n): Promise<{ projectName: string; projectDescription: string }> {\n const openai = new OpenAI({ apiKey: token });\n\n const prompt = `\n You are an expert software architect. Analyze the following file paths and code snippets.\n Based on the content, generate:\n 1. A concise, descriptive, and URL-safe project name in kebab-case.\n 2. A one-sentence description of the project's purpose.\n\n Respond ONLY with a single, minified JSON object with these exact keys:\n - \"projectName\": The generated name (e.g., \"bess-dashboard-react\").\n - \"projectDescription\": The generated description.\n\n Input Content:\n \\`\\`\\`\n ${content}\n \\`\\`\\`\n `;\n\n try {\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [{ role: \"system\", content: prompt }],\n response_format: { type: \"json_object\" },\n });\n const result = JSON.parse(completion.choices[0].message.content);\n return {\n projectName: result.projectName || `ai-project-${Date.now()}`,\n projectDescription: result.projectDescription ||\n \"Project named and described by AI.\",\n };\n } catch (error) {\n console.error(\"OpenAI call failed:\", error);\n return {\n projectName: `fallback-project-${Date.now()}`,\n projectDescription:\n \"Project created with fallback naming due to an AI error.\",\n };\n }\n}\n\n// --- API Helper to create a NEW val (project) ---\nasync function createNewVal(\n token: string,\n name: string,\n description: string,\n): Promise<{ id: string; name: string }> {\n const url = \"https://api.val.town/v2/vals\";\n console.log(`Creating new project with name: ${name}`);\n\n const response = await fetch(url, {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${token}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n name: name,\n privacy: \"private\",\n description: description,\n }),\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n throw new Error(\n `Failed to create new project (${response.status}): ${errorText}`,\n );\n }\n\n const data = await response.json();\n return { id: data.id, name: data.name };\n}\n\n// --- API Helper to create a file or directory in a val ---\nasync function createValTownResource(\n valId: string,\n path: string,\n type: \"file\" | \"directory\",\n token: string,\n content?: string,\n) {\n const url = `https://api.val.town/v2/vals/${valId}/files?path=${\n encodeURIComponent(path)\n }`;\n const body = type === \"directory\"\n ? { type: \"directory\" }\n : { type: \"file\", content: content || \"\" };\n\n const response = await fetch(url, {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${token}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify(body),\n });\n\n // A 409 Conflict is acceptable; it means the resource already exists, which is fine.\n if (!response.ok && response.status !== 409) {\n const errorText = await response.text();\n throw new Error(\n `API Error creating '${path}' (${response.status}): ${errorText}`,\n );\n }\n return response.json();\n}\n\n// --- Main HTTP Handler ---\nexport default async function (req: Request): Promise {\n // Handle GET requests by serving the UI\n if (req.method === \"GET\") {\n return new Response(generateHtml(), {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n }\n\n // Handle POST requests for the API\n if (req.method === \"POST\") {\n const valtownToken = Deno.env.get(\"valtown\");\n const openaiToken = Deno.env.get(\"openai\");\n\n if (!valtownToken) {\n return Response.json({\n error: \"Missing 'valtown' environment variable for API token.\",\n }, { status: 500 });\n }\n\n const body = await req.json();\n if (!body.scaffold || typeof body.scaffold !== \"string\") {\n return Response.json({\n error: 'Request body must be JSON and include a \"scaffold\" string.',\n }, {\n status: 400,\n });\n }\n\n let targetValId = Deno.env.get(\"targetValId\");\n let projectName = \"Existing Project\";\n let projectDescription = \"\";\n let newProjectCreated = false;\n let nameSource = \"existing\";\n\n if (!targetValId) {\n if (body.name) {\n projectName = body.name.toLowerCase().replace(/\\s+/g, \"-\").replace(\n /[^a-z0-9-]/g,\n \"\",\n ); // Sanitize name\n projectDescription = \"Project scaffolded via Scaf.\";\n nameSource = \"user\";\n } else {\n if (!openaiToken) {\n return Response.json({\n error: \"Missing 'openai' environment variable for AI naming.\",\n }, { status: 500 });\n }\n const aiDetails = await generateProjectDetails(\n openaiToken,\n body.scaffold,\n );\n projectName = aiDetails.projectName;\n projectDescription = aiDetails.projectDescription;\n nameSource = \"ai\";\n }\n\n try {\n const newProject = await createNewVal(\n valtownToken,\n projectName,\n projectDescription,\n );\n targetValId = newProject.id;\n projectName = newProject.name; // Use the name returned by the API\n newProjectCreated = true;\n } catch (error) {\n return Response.json({\n error: \"Failed to create new project.\",\n details: error.message,\n }, { status: 500 });\n }\n }\n\n const filesToCreate = body.scaffold.trim().split(\"\\n\").map((line) => {\n const [path, ...contentParts] = line.split(\"|||\");\n return { path: path.trim(), content: contentParts.join(\"|||\") };\n });\n\n filesToCreate.unshift({\n path: \".gemini_context.md\",\n content:\n `# AI Context File\\n\\nThis file is managed by the AI assistant and contains metadata about this project's scaffolding.\\nPlease do not modify this file manually.\\n\\n- **Scaffold Date:** ${\n new Date().toISOString()\n }\\n- **Name Source:** ${nameSource}`,\n });\n\n const createdDirs = new Set();\n const results = [];\n\n for (const file of filesToCreate) {\n if (!file.path) continue; // Skip empty lines\n try {\n // Ensure parent directories exist\n const pathParts = file.path.split(\"/\").slice(0, -1);\n let currentPath = \"\";\n for (const part of pathParts) {\n currentPath = currentPath ? `${currentPath}/${part}` : part;\n if (!createdDirs.has(currentPath)) {\n await createValTownResource(\n targetValId,\n currentPath,\n \"directory\",\n valtownToken,\n );\n createdDirs.add(currentPath);\n }\n }\n // Create the file\n await createValTownResource(\n targetValId,\n file.path,\n \"file\",\n valtownToken,\n file.content,\n );\n results.push({ status: \"success\", path: file.path });\n } catch (error) {\n results.push({\n status: \"error\",\n path: file.path,\n message: error.message,\n });\n }\n }\n\n return Response.json({\n message: \"Scaffolding process completed.\",\n newProjectCreated,\n projectId: targetValId,\n projectName,\n nameSource,\n results: results,\n });\n }\n\n // Fallback for other methods\n return new Response(\"Method Not Allowed\", { status: 405 });\n}","// @filename: scaf.tsx\n// @description: Intelligently scaffolds new Val Town projects from a string, with a helpful UI.\n\nimport { OpenAI } from \"https://esm.town/v/std/openai\";\n\n// --- Frontend UI Generation ---\nfunction generateHtml() {\n return `\n\n\n \n \n Scaf | Project Scaffolder\n \n \n \n \n\n\n

Scaf ✨

You've got a brilliant idea. Let's bring it to life, instantly.

\n Paste your file structure here:\n \n \n Project Name (optional)\n \n \n \n

\n\n\n`;\n}\n\n// --- AI Function to Name and Describe the Project ---\nasync function generateProjectDetails(\n content: string,\n): Promise<{ projectName: string; projectDescription: string }> {\n const openai = new OpenAI();\n\n const prompt = `\n You are an expert software architect. Analyze the following file paths and code snippets.\n Based on the content, generate:\n 1. A concise, descriptive, and URL-safe project name in kebab-case.\n 2. A one-sentence description of the project's purpose.\n\n Respond ONLY with a single, minified JSON object with these exact keys:\n - \"projectName\": The generated name (e.g., \"bess-dashboard-react\").\n - \"projectDescription\": The generated description.\n\n Input Content:\n \\`\\`\\`\n ${content}\n \\`\\`\\`\n `;\n\n try {\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [{ role: \"system\", content: prompt }],\n response_format: { type: \"json_object\" },\n });\n const result = JSON.parse(completion.choices[0].message.content);\n return {\n projectName: result.projectName || `ai-project-${Date.now()}`,\n projectDescription: result.projectDescription ||\n \"Project named and described by AI.\",\n };\n } catch (error) {\n console.error(\"OpenAI call failed:\", error);\n return {\n projectName: `fallback-project-${Date.now()}`,\n projectDescription:\n \"Project created with fallback naming due to an AI error.\",\n };\n }\n}\n\n// --- API Helper to create a NEW val (project) ---\nasync function createNewVal(\n token: string,\n name: string,\n description: string,\n): Promise<{ id: string; name: string }> {\n const url = \"https://api.val.town/v2/vals\";\n console.log(`Creating new project with name: ${name}`);\n\n const response = await fetch(url, {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${token}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n name: name,\n privacy: \"private\",\n description: description,\n }),\n });\n\n if (!response.ok) {\n const errorText = await response.text();\n throw new Error(\n `Failed to create new project (${response.status}): ${errorText}`,\n );\n }\n\n const data = await response.json();\n return { id: data.id, name: data.name };\n}\n\n// --- API Helper to create a file or directory in a val ---\nasync function createValTownResource(\n valId: string,\n path: string,\n type: \"file\" | \"directory\",\n token: string,\n content?: string,\n) {\n const url = `https://api.val.town/v2/vals/${valId}/files?path=${\n encodeURIComponent(path)\n }`;\n const body = type === \"directory\"\n ? { type: \"directory\" }\n : { type: \"file\", content: content || \"\" };\n\n const response = await fetch(url, {\n method: \"POST\",\n headers: {\n \"Authorization\": `Bearer ${token}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify(body),\n });\n\n // A 409 Conflict is acceptable; it means the resource already exists, which is fine.\n if (!response.ok && response.status !== 409) {\n const errorText = await response.text();\n throw new Error(\n `API Error creating '${path}' (${response.status}): ${errorText}`,\n );\n }\n return response.json();\n}\n\n// --- Main HTTP Handler ---\nexport default async function (req: Request): Promise {\n // Handle GET requests by serving the UI\n if (req.method === \"GET\") {\n return new Response(generateHtml(), {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n }\n\n // Handle POST requests for the API\n if (req.method === \"POST\") {\n const valtownToken = Deno.env.get(\"valtown\");\n const openaiToken = Deno.env.get(\"openai\");\n\n if (!valtownToken) {\n return Response.json({\n error: \"Missing 'valtown' environment variable for API token.\",\n }, { status: 500 });\n }\n\n const body = await req.json();\n if (!body.scaffold || typeof body.scaffold !== \"string\") {\n return Response.json({\n error: 'Request body must be JSON and include a \"scaffold\" string.',\n }, {\n status: 400,\n });\n }\n\n let targetValId = Deno.env.get(\"targetValId\");\n let projectName = \"Existing Project\";\n let projectDescription = \"\";\n let newProjectCreated = false;\n let nameSource = \"existing\";\n\n if (!targetValId) {\n if (body.name) {\n projectName = body.name.toLowerCase().replace(/\\s+/g, \"-\").replace(\n /[^a-z0-9-]/g,\n \"\",\n ); // Sanitize name\n projectDescription = \"Project scaffolded via Scaf.\";\n nameSource = \"user\";\n } else {\n if (!openaiToken) {\n return Response.json({\n error: \"Missing 'openai' environment variable for AI naming.\",\n }, { status: 500 });\n }\n const aiDetails = await generateProjectDetails(\n openaiToken,\n body.scaffold,\n );\n projectName = aiDetails.projectName;\n projectDescription = aiDetails.projectDescription;\n nameSource = \"ai\";\n }\n\n try {\n const newProject = await createNewVal(\n valtownToken,\n projectName,\n projectDescription,\n );\n targetValId = newProject.id;\n projectName = newProject.name; // Use the name returned by the API\n newProjectCreated = true;\n } catch (error) {\n return Response.json({\n error: \"Failed to create new project.\",\n details: error.message,\n }, { status: 500 });\n }\n }\n\n const filesToCreate = body.scaffold.trim().split(\"\\n\").map((line) => {\n const [path, ...contentParts] = line.split(\"|||\");\n return { path: path.trim(), content: contentParts.join(\"|||\") };\n });\n\n filesToCreate.unshift({\n path: \".gemini_context.md\",\n content:\n `# AI Context File\\n\\nThis file is managed by the AI assistant and contains metadata about this project's scaffolding.\\nPlease do not modify this file manually.\\n\\n- **Scaffold Date:** ${\n new Date().toISOString()\n }\\n- **Name Source:** ${nameSource}`,\n });\n\n const createdDirs = new Set();\n const results = [];\n\n for (const file of filesToCreate) {\n if (!file.path) continue; // Skip empty lines\n try {\n // Ensure parent directories exist\n const pathParts = file.path.split(\"/\").slice(0, -1);\n let currentPath = \"\";\n for (const part of pathParts) {\n currentPath = currentPath ? 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Diff · v6