New Prompt Request Submitted

A new prompt request has been submitted by ${request.email}.

\n\n

Request Details:

Email: ${request.email}

Existing Prompt:

${\n        request.existingPrompt.substring(0, 100)\n      }...

Expected Outcome: ${request.expectedOutcome}
Issue Description: ${request.issueDescription}

\n\n

Check the admin panel

\n `,\n });\n } catch (error) {\n console.error(\"Error sending admin notification:\", error);\n throw error;\n }\n}\n\n// Send updated prompt to the user\nexport async function sendUpdatedPromptToUser(request: PromptRequest): Promise {\n if (!request.updatedPrompt) {\n throw new Error(\"Cannot send empty updated prompt\");\n }\n\n try {\n await email({\n to: request.email,\n subject: \"Your Updated Prompt from PromptFixer\",\n text: `\nHello,\n\nWe've analyzed your prompt request and created an improved version for you.\n\nOriginal Prompt:\n${request.existingPrompt}\n\nUpdated Prompt:\n${request.updatedPrompt}\n\nWe hope this helps achieve your expected outcome:\n${request.expectedOutcome}\n\nThank you for using PromptFixer!\n `,\n html: `\n

Your Updated Prompt

We've analyzed your prompt request and created an improved version for you.

\n\n

Original Prompt:

${request.existingPrompt}

\n\n

Updated Prompt:

${request.updatedPrompt}

\n\n

Expected Outcome: ${request.expectedOutcome}

\n\n

We hope this helps achieve your goals!

\n\n

Thank you for using PromptFixer!

\n `,\n });\n } catch (error) {\n console.error(\"Error sending updated prompt to user:\", error);\n throw error;\n }\n}\n\n// Process an incoming email and extract prompt request information\nexport async function processIncomingEmail(emailContent: string): Promise {\n try {\n const response = await openai.chat.completions.create({\n model: \"gpt-4.1\",\n messages: [\n {\n role: \"system\",\n content: `Extract the following information from the email:\n1. The existing prompt they want to fix\n2. What they expect the prompt to do (expected outcome)\n3. Why they think the prompt isn't working (issue description)\n\nIf any of these details are missing or unclear, indicate that with \"MISSING\" for that field.\nReturn the information in JSON format with these keys: existingPrompt, expectedOutcome, issueDescription, bestGuessExpectedOutcome, bestGuessIssueDescription`,\n },\n {\n role: \"user\",\n content: emailContent,\n },\n ],\n response_format: { type: \"json_object\" },\n });\n\n const extractedData = JSON.parse(response.choices[0].message.content);\n\n console.log({ extractedData, content: response.choices[0].message.content });\n\n // Check if any required fields are missing\n const hasMissingFields = extractedData.email === \"MISSING\"\n || extractedData.existingPrompt === \"MISSING\"\n || extractedData.expectedOutcome === \"MISSING\"\n || extractedData.issueDescription === \"MISSING\";\n\n return {\n email: extractedData.email,\n existingPrompt: extractedData.existingPrompt,\n expectedOutcome: extractedData.expectedOutcome,\n issueDescription: extractedData.issueDescription,\n };\n } catch (error) {\n console.error(\"Error processing email:\", error);\n return null;\n }\n}\n\n// Send a reply to the user asking for more information\nexport async function sendClarificationEmail(userEmail: string, missingInfo: string): Promise {\n try {\n await email({\n to: userEmail,\n subject: \"More Information Needed for Your Prompt Request\",\n text: `\nHello,\n\nThank you for your prompt fixing request. To better assist you, we need some additional information:\n\n${missingInfo}\n\nPlease reply to this email with the requested details so we can help improve your prompt.\n\nThank you,\nPromptFixer Team\n `,\n html: `\n

More Information Needed

Thank you for your prompt fixing request. To better assist you, we need some additional information:

\n\n

${missingInfo}

\n\n

Please reply to this email with the requested details so we can help improve your prompt.

\n\n

Thank you,
PromptFixer Team

\n `,\n });\n } catch (error) {\n console.error(\"Error sending clarification email:\", error);\n throw error;\n }\n}",[],[155,192],{"_103":201,"_95":202,"_156":116,"_158":157,"_159":141,"_160":120,"_161":118,"_105":203,"_99":204,"_163":205,"_165":206,"_166":22,"_167":96,"_168":207,"_98":208},"bbd9730e-1a0a-11f0-95cf-569c3dd06744","index.ts",["D",1744729385198],17,"http","import { parseProject, readFile, serveFile } from \"https://esm.town/v/std/utils@71-main/index.ts\";\nimport { Hono } from \"npm:hono@3.12.6\";\nimport { cors } from \"npm:hono@3.12.6/cors\";\nimport { jwt, sign } from \"npm:hono@3.12.6/jwt\";\nimport { AdminCredentials, PromptRequest } from \"../shared/types.ts\";\nimport {\n createPromptRequest,\n getAllPromptRequests,\n getPromptRequestById,\n initDatabase,\n updatePromptRequest,\n} from \"./database.ts\";\nimport {\n processIncomingEmail,\n sendAdminNotification,\n sendClarificationEmail,\n sendUpdatedPromptToUser,\n} from \"./email-service.ts\";\n\n// Create Hono app\nconst app = new Hono();\n\n// Project information\nconst projectInfo = parseProject(import.meta.url);\n\n// Enable CORS\napp.use(\"*\", cors());\n\n// Initialize database on startup\nawait initDatabase();\n\n// Admin credentials (should be environment variables in production)\nconst ADMIN_USERNAME = \"admin\";\nconst ADMIN_PASSWORD = \"promptfixer2025\";\nconst JWT_SECRET = \"prompt-fixer-jwt-secret-key\";\n\n// JWT middleware for protected routes\nconst adminAuth = jwt({ secret: JWT_SECRET });\n\n// Health check endpoint\napp.get(\"/api/health\", (c) => c.json({ status: \"ok\" }));\n\n// Serve static files\napp.get(\"/\", async (c) => {\n const html = await readFile(\"/frontend/index.html\", import.meta.url);\n return c.html(html);\n});\n\napp.get(\"/admin\", async (c) => {\n const html = await readFile(\"/frontend/admin.html\", import.meta.url);\n return c.html(html);\n});\n\n// app.get(\"/*\", (c) => {\n// return serveFile(c.req.path.replace(/^\\//, \"/frontend/\"), import.meta.url);\n// });\n\n// API routes\napp.post(\"/api/submit-form\", async (c) => {\n try {\n const formData = await c.req.json();\n\n const promptRequest: PromptRequest = {\n email: formData.email,\n existingPrompt: formData.existingPrompt,\n expectedOutcome: formData.expectedOutcome,\n issueDescription: formData.issueDescription,\n };\n\n // Create database entry\n const id = await createPromptRequest(promptRequest);\n\n // Send notification to admin\n promptRequest.id = id;\n await sendAdminNotification(promptRequest);\n\n return c.json({ success: true, id });\n } catch (error) {\n console.error(\"Error submitting form:\", error);\n return c.json({ success: false, error: \"Failed to process request\" }, 500);\n }\n});\n\n// Email handler\napp.post(\"/api/process-email\", async (c) => {\n try {\n const { content, from } = await c.req.json();\n\n // Process the email content\n const extractedData = await processIncomingEmail(content);\n\n if (!extractedData) {\n // Send clarification email if needed information is missing\n await sendClarificationEmail(\n from,\n \"Please provide the following information: your existing prompt, what you expect it to do, and why you think it's not working correctly.\",\n );\n\n return c.json({ success: true, action: \"clarification_sent\" });\n }\n\n // Create database entry\n const id = await createPromptRequest(extractedData);\n\n // Send notification to admin\n extractedData.id = id;\n await sendAdminNotification(extractedData);\n\n return c.json({ success: true, id, action: \"request_created\" });\n } catch (error) {\n console.error(\"Error processing email:\", error);\n return c.json({ success: false, error: \"Failed to process email\" }, 500);\n }\n});\n\n// Admin login\napp.post(\"/api/admin/login\", async (c) => {\n try {\n const credentials: AdminCredentials = await c.req.json();\n\n if (credentials.username === ADMIN_USERNAME && credentials.password === ADMIN_PASSWORD) {\n // Generate JWT token\n const token = await sign({ username: credentials.username, exp: \"24h\" }, JWT_SECRET);\n return c.json({ success: true, token });\n }\n\n return c.json({ success: false, error: \"Invalid credentials\" }, 401);\n } catch (error) {\n console.error(\"Login error:\", error);\n return c.json({ success: false, error: \"Authentication failed\" }, 500);\n }\n});\n\n// Protected admin routes\napp.use(\"/api/admin/*\", adminAuth);\n\n// Get all prompt requests\napp.get(\"/api/admin/requests\", async (c) => {\n try {\n console.log(\"in requests\");\n const requests = await getAllPromptRequests();\n console.log({ requests });\n return c.json({ success: true, requests });\n } catch (error) {\n console.error(error);\n console.error(\"Error fetching requests:\", error);\n return c.json({ success: false, error: \"Failed to fetch requests\" }, 500);\n }\n});\n\n// Get a single prompt request\napp.get(\"/api/admin/requests/:id\", async (c) => {\n try {\n const id = parseInt(c.req.param(\"id\"), 10);\n const request = await getPromptRequestById(id);\n\n if (!request) {\n return c.json({ success: false, error: \"Request not found\" }, 404);\n }\n\n return c.json({ success: true, request });\n } catch (error) {\n console.error(\"Error fetching request:\", error);\n return c.json({ success: false, error: \"Failed to fetch request\" }, 500);\n }\n});\n\n// Update a prompt request with a fixed prompt\napp.post(\"/api/admin/requests/:id/update\", async (c) => {\n try {\n const id = parseInt(c.req.param(\"id\"), 10);\n const { updatedPrompt } = await c.req.json();\n\n // Get the request to update\n const request = await getPromptRequestById(id);\n\n if (!request) {\n return c.json({ success: false, error: \"Request not found\" }, 404);\n }\n\n // Update the request in the database\n await updatePromptRequest(id, updatedPrompt);\n\n // Send the updated prompt to the user\n request.updatedPrompt = updatedPrompt;\n await sendUpdatedPromptToUser(request);\n\n return c.json({ success: true });\n } catch (error) {\n console.error(\"Error updating prompt:\", error);\n return c.json({ success: false, error: \"Failed to update prompt\" }, 500);\n }\n});\n\n// Error handler\napp.onError((err, c) => {\n console.error(\"Application error:\", err);\n return c.json({ success: false, error: \"Server error\" }, 500);\n});\n\n// Export the app for HTTP serving\nexport default app.fetch;",[],[155,202],[155],{"_103":211,"_95":212,"_156":213,"_158":-5,"_159":141,"_160":214,"_161":118,"_105":215,"_99":32,"_163":164,"_165":-5,"_166":22,"_167":-5,"_168":216,"_98":237},"64fe9238-1a02-11f0-9f6b-569c3dd06744","frontend","64fe92e2-1a02-11f0-9f6b-569c3dd06744",2,["D",1744725803509],[217,227],{"_103":218,"_95":219,"_156":220,"_158":213,"_159":141,"_160":221,"_161":118,"_105":222,"_99":214,"_163":223,"_165":224,"_166":22,"_167":-5,"_168":225,"_98":226},"cb79f0d8-1a08-11f0-8e8d-569c3dd06744","admin.html","cd58116a-1a02-11f0-a505-569c3dd06744",26,["D",1744728552421],"file","\n\n\n \n \n PromptFixer - Admin Panel\n \n \n \n\n\n

\n \n PromptFixer Admin\n \n

Manage and fix user prompt requests

\n \n

\n\n

\n \n

Admin Login

\n \n \n

\n\n \n

Prompt Requests

\n \n \n

\n \n Loading requests...\n

\n\n \n

Edit Request

\n \n

Request Information

\n \n

\n Request ID\n \n

\n Email\n \n

\n Date Submitted\n \n

\n \n

\n Existing Prompt\n

\n \n

\n Expected Outcome\n

\n Issue Description\n

\n \n

Fix Prompt

\n \n \n

\n\n \n\n \n\n",[],[212,219],{"_103":228,"_95":229,"_156":230,"_158":213,"_159":141,"_160":231,"_161":118,"_105":232,"_99":233,"_163":223,"_165":234,"_166":22,"_167":-5,"_168":235,"_98":236},"f4615362-1a15-11f0-9c86-569c3dd06744","index.html","a9450530-1a02-11f0-88e1-569c3dd06744",47,["D",1744734204504],7,"\n\n \n \n \n PromptFixer - Fix Your AI Prompts\n \n \n \n \n \n

\n \n PromptFixer\n \n

\n Transform your AI prompts from good to exceptional\n

\n\n

\n Submit Your Prompt for Fixing\n

\n Fill out the form below with details about your prompt and we'll\n help improve it to get the results you're looking for.\n

\n\n

\n \n \n \n

\n Thank You!\n

\n Your prompt has been submitted successfully. We'll review it and\n send an improved version to your email soon.\n

\n \n Submit Another Prompt\n \n

\n\n \n

\n\n \n\n \n \n",[],[212,229],[212],{"_103":239,"_95":240,"_156":241,"_158":-5,"_159":141,"_160":242,"_161":118,"_105":243,"_99":32,"_163":164,"_165":-5,"_166":22,"_167":-5,"_168":244,"_98":254},"652c38dc-1a02-11f0-a7ea-569c3dd06744","shared","652c399a-1a02-11f0-a7ea-569c3dd06744",3,["D",1744725803807],[245],{"_103":246,"_95":247,"_156":248,"_158":241,"_159":141,"_160":249,"_161":118,"_105":250,"_99":32,"_163":176,"_165":251,"_166":22,"_167":-5,"_168":252,"_98":253},"470029f2-1a04-11f0-a629-569c3dd06744","types.ts","47002a92-1a04-11f0-a629-569c3dd06744",13,["D",1744726612180],"// Define our shared types for the prompt fixing service\n\nexport interface PromptRequest {\n id?: number;\n email: string;\n existingPrompt: string;\n expectedOutcome: string;\n issueDescription: string;\n createdAt?: string;\n status?: RequestStatus;\n updatedPrompt?: string;\n}\n\nexport enum RequestStatus {\n NEW = 'new',\n PROCESSING = 'processing',\n COMPLETED = 'completed'\n}\n\nexport interface AdminCredentials {\n username: string;\n password: string;\n}\n\n// For database operations\nexport interface SQLQueryResult {\n columns: string[];\n rows: any[][];\n}",[],[240,247],[240],{"_103":256,"_95":257,"_156":258,"_158":-5,"_159":141,"_160":196,"_161":118,"_105":259,"_99":32,"_163":223,"_165":260,"_166":22,"_167":-5,"_168":261,"_98":262},"ddf43f30-1a02-11f0-9f6b-569c3dd06744","README.md","ddf44002-1a02-11f0-9f6b-569c3dd06744",["D",1744726006444],"# PromptFixer\n\nA service for helping users improve their AI prompts by collecting feedback and issues, then delivering enhanced prompts.\n\n## Project Overview\n\nPromptFixer offers two ways for users to submit their prompt fixing requests:\n\n1. **Web Form** - Users can fill out a form with their existing prompt, expected outcome, and why they think it's not working.\n2. **Email Submission** - Users can email their prompt details, which are automatically parsed using Gemini AI.\n\nAll submissions are stored in a SQLite database and can be accessed through an admin panel where administrators can:\n\n- View all prompt requests\n- Create improved versions of user prompts\n- Send the fixed prompts back to users via email\n\n## Project Structure\n\n- `backend/` - Server-side code\n - `index.ts` - Main API server (Hono)\n - `database.ts` - SQLite database operations\n - `email-service.ts` - Email processing and sending\n - `email-handler.ts` - Email endpoint handler\n- `frontend/` - Client-side code\n - `index.html` - Public submission form\n - `admin.html` - Admin dashboard\n- `shared/` - Common types and utilities\n - `types.ts` - TypeScript interfaces and types\n\n## Features\n\n- **Public HTML Form** that collects:\n - Email address\n - Existing prompt\n - Expected outcome\n - Issue description\n- **Email Processing**\n - Extracts prompt information from emails\n - Sends clarification emails when information is missing\n- **Admin Panel**\n - Secure login system\n - View all submitted requests\n - Create and send improved prompts to users\n- **SQLite Database** for data storage\n- **Email Notifications**\n - To admins when new requests arrive\n - To users when their improved prompt is ready\n\n## API Endpoints\n\n- `GET /api/health` - Health check endpoint\n- `POST /api/submit-form` - Submit a prompt request via web form\n- `POST /api/process-email` - Process email submission\n- `POST /api/admin/login` - Admin authentication\n- `GET /api/admin/requests` - Get all prompt requests\n- `GET /api/admin/requests/:id` - Get a specific prompt request\n- `POST /api/admin/requests/:id/update` - Update a prompt with a fix and notify user\n\n## Technologies Used\n\n- Val Town Platform\n- Hono (API framework)\n- SQLite (database)\n- OpenAI (for email processing)\n- TailwindCSS (styling)\n- JWT (authentication)",[],[257],"files",[153,170,180,190,200,210,217,227,238,245,255],"counts",{"_267":32,"_268":122,"_269":32,"_270":122},"pulls","branches","forks","envVars","contents",[273,276,279,282],{"_103":154,"_95":155,"_156":157,"_158":-5,"_159":141,"_160":122,"_161":118,"_105":274,"_99":32,"_163":164,"_165":-5,"_166":22,"_167":-5,"_98":275},["D",1744725799339],[155],{"_103":211,"_95":212,"_156":213,"_158":-5,"_159":141,"_160":214,"_161":118,"_105":277,"_99":32,"_163":164,"_165":-5,"_166":22,"_167":-5,"_98":278},["D",1744725803509],[212],{"_103":239,"_95":240,"_156":241,"_158":-5,"_159":141,"_160":242,"_161":118,"_105":280,"_99":32,"_163":164,"_165":-5,"_166":22,"_167":-5,"_98":281},["D",1744725803807],[240],{"_103":256,"_95":257,"_156":258,"_158":-5,"_159":141,"_160":196,"_161":118,"_105":283,"_99":32,"_163":223,"_165":260,"_166":22,"_167":-5,"_98":284},["D",1744726006444],[257],"upstreamProject","upstreamBranch","emptyEnvVars","isNew","flags",[],"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_101":293,"_99":100,"_298":299},{"_103":104,"_95":96,"_105":294,"_107":-5,"_108":22,"_109":110,"_111":112,"_113":-5,"_14":114,"_115":116,"_117":118,"_119":120,"_121":122,"_16":123,"_124":125,"_126":125,"_127":128,"_129":128,"_130":128,"_131":125,"_132":125,"_23":295,"_136":296,"_139":297,"_150":22},["D",1744725789168],{"_93":94,"_134":135},{"_93":94,"_138":135},{"_99":100,"_95":43,"_103":141,"_142":104,"_143":-5,"_144":-5,"_145":-5,"_146":-5,"_147":-5,"_148":96,"_149":94},"changes",[300],{"_223":301,"_303":304,"_98":306},{"_156":183,"_95":182,"_163":186,"_165":187,"_105":302,"_160":100,"_159":141},["D",1744741022819],"previous",{"_156":183,"_95":182,"_163":186,"_165":305},"import { PromptRequest } from \"../shared/types.ts\";\nimport { createPromptRequest } from \"./database.ts\";\nimport { processIncomingEmail, sendAdminNotification, sendClarificationEmail } from \"./email-service.ts\";\n\n// Initialize the database\nimport { initDatabase } from \"./database.ts\";\n\n// Main handler for incoming emails\nexport default async function emailHandler(email: {\n from: string;\n subject: string;\n text: string;\n html?: string;\n}) {\n await initDatabase();\n console.log(`Processing email from: ${email.from}`);\n\n try {\n // Extract data from email using AI\n const extractedData = await processIncomingEmail(email.text);\n console.log({ extractedData });\n // If we couldn't extract the required information, send a clarification email\n if (!Object.values(extractedData).find((value) => value === \"MISSING\")) {\n const missingMessage = [`Please include `];\n if (extractedData.existingPrompt === \"MISSING\") {\n missingMessage.push(`a prompt that you already have, `);\n }\n if (extractedData.expectedOutcome === \"MISSING\") {\n missingMessage.push(`what you expect the prompt to do, `);\n }\n if (extractedData.issueDescription === \"MISSING\") {\n missingMessage.push(`why you think it's not working correctly.`);\n }\n await sendClarificationEmail(email.from, missingMessage.join(\"\"));\n await sendClarificationEmail(\n email.from,\n `We need more information to help fix your prompt. ${missingMessage.join(\"\")}`,\n );\n\n console.log(`Sent clarification email to ${email.from}`);\n return {\n success: true,\n action: \"clarification_requested\",\n };\n }\n\n // Create a request in the database\n const promptRequest: PromptRequest = {\n email: email.from,\n existingPrompt: extractedData.existingPrompt,\n expectedOutcome: extractedData.expectedOutcome,\n issueDescription: extractedData.issueDescription,\n };\n\n const id = await createPromptRequest(promptRequest);\n\n // Send notification to admin\n promptRequest.id = id;\n await sendAdminNotification(promptRequest);\n\n console.log(`Created prompt request with ID: ${id}`);\n\n return {\n success: true,\n id,\n action: \"prompt_request_created\",\n };\n } catch (error) {\n console.error(\"Error processing email:\", error);\n return {\n success: false,\n error: \"Failed to process email\",\n };\n }\n}","backend/email-handler.ts","actionData","errors"]

prashamtrivedi

promptfixer