\n \n\n",[],[107,134],"c60f0a78-9caa-11f0-b194-0224a6c84d84","components","d9bbe8f3-b67c-4104-8aa9-40f795c3ef0f",10,["D",1759091772962],[147,148,149],[107,141],{"_36":166,"_13":167,"_39":168,"_41":142,"_43":44,"_45":169,"_47":48,"_49":170,"_17":65,"_52":102,"_54":171,"_56":57,"_58":-5,"_87":172,"_18":173},{"_36":158,"_13":159,"_39":160,"_41":142,"_43":44,"_45":161,"_47":48,"_49":162,"_17":65,"_52":102,"_54":163,"_56":57,"_58":-5,"_87":164,"_18":165},{"_36":150,"_13":151,"_39":152,"_41":142,"_43":44,"_45":153,"_47":48,"_49":154,"_17":93,"_52":102,"_54":155,"_56":57,"_58":-5,"_87":156,"_18":157},"fabb7022-9caa-11f0-9ea4-0224a6c84d84","UploadForm.tsx","c60efba0-9caa-11f0-b194-0224a6c84d84",19,["D",1759091861332],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useState, useRef } from 'https://esm.sh/react@18.2.0';\nimport type { UploadResponse, ExtractedEvent } from '../../shared/types.ts';\n\ninterface UploadFormProps {\n onEventExtracted: (event: ExtractedEvent) => void;\n}\n\nexport default function UploadForm({ onEventExtracted }: UploadFormProps) {\n const [isUploading, setIsUploading] = useState(false);\n const [error, setError] = useState(null);\n const [dragOver, setDragOver] = useState(false);\n const fileInputRef = useRef(null);\n\n const handleFileSelect = async (file: File) => {\n if (!file.type.startsWith('image/')) {\n setError('Please select an image file');\n return;\n }\n\n setIsUploading(true);\n setError(null);\n\n try {\n // Resize image if it's too large\n const processedFile = await resizeImage(file);\n \n const formData = new FormData();\n formData.append('photo', processedFile);\n\n const response = await fetch('/api/upload', {\n method: 'POST',\n body: formData,\n });\n\n const result: UploadResponse = await response.json();\n\n if (result.success && result.event) {\n onEventExtracted(result.event);\n } else {\n setError(result.error || 'Failed to process image');\n }\n } catch (err) {\n console.error('Upload error:', err);\n setError('Failed to upload image. Please try again.');\n } finally {\n setIsUploading(false);\n }\n };\n\n const handleFileInputChange = (e: React.ChangeEvent) => {\n const file = e.target.files?.[0];\n if (file) {\n handleFileSelect(file);\n }\n };\n\n const handleDrop = (e: React.DragEvent) => {\n e.preventDefault();\n setDragOver(false);\n \n const file = e.dataTransfer.files[0];\n if (file) {\n handleFileSelect(file);\n }\n };\n\n const handleDragOver = (e: React.DragEvent) => {\n e.preventDefault();\n setDragOver(true);\n };\n\n const handleDragLeave = (e: React.DragEvent) => {\n e.preventDefault();\n setDragOver(false);\n };\n\n const handleClick = () => {\n fileInputRef.current?.click();\n };\n\n return (\n

\n 📅 Event Extractor\n

\n \n

\n Upload Event Flyer\n

\n \n \n \n \n {isUploading ? (\n

\n Analyzing image...\n

\n ) : (\n

📸

\n Take Photo or Upload Image\n

\n Upload a photo of an event flyer or poster\n

\n )}\n

\n\n {error && (\n

\n Error: {error}\n

\n )}\n\n

📱 Optimized for mobile • 🤖 AI-powered extraction

\n \n );\n}",[],[107,141,151],"d0c4dbc8-9caa-11f0-86b0-0224a6c84d84","EventDisplay.tsx","d0c4dc9a-9caa-11f0-86b0-0224a6c84d84",11,["D",1759091790904],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useState } from 'https://esm.sh/react@18.2.0';\nimport type { ExtractedEvent, CalendarEvent } from '../../shared/types.ts';\n\ninterface EventDisplayProps {\n event: ExtractedEvent;\n onBack: () => void;\n}\n\nexport default function EventDisplay({ event, onBack }: EventDisplayProps) {\n const [isDownloading, setIsDownloading] = useState(false);\n\n const formatDate = (dateString: string) => {\n try {\n const date = new Date(dateString);\n return date.toLocaleDateString('en-US', {\n weekday: 'long',\n year: 'numeric',\n month: 'long',\n day: 'numeric'\n });\n } catch {\n return dateString;\n }\n };\n\n const handleAddToCalendar = async () => {\n setIsDownloading(true);\n \n try {\n const calendarEvent: CalendarEvent = {\n title: event.title,\n date: event.date,\n photoUrl: event.photoUrl\n };\n\n const response = await fetch('/api/calendar/download', {\n method: 'POST',\n headers: {\n 'Content-Type': 'application/json',\n },\n body: JSON.stringify(calendarEvent),\n });\n\n if (response.ok) {\n const blob = await response.blob();\n const url = window.URL.createObjectURL(blob);\n const a = document.createElement('a');\n a.href = url;\n a.download = `${event.title.replace(/[^a-zA-Z0-9]/g, '_')}.ics`;\n document.body.appendChild(a);\n a.click();\n document.body.removeChild(a);\n window.URL.revokeObjectURL(url);\n } else {\n throw new Error('Failed to generate calendar file');\n }\n } catch (error) {\n console.error('Calendar download error:', error);\n alert('Failed to generate calendar file. Please try again.');\n } finally {\n setIsDownloading(false);\n }\n };\n\n return (\n

\n {/* Header */}\n

\n \n ← Back\n \n

Event Extracted! 🎉

\n\n {/* Event Details */}\n

\n {event.title}\n

\n 📅\n {formatDate(event.date)}\n

\n\n {/* Photo */}\n

\n Original Photo\n

\n \n

\n\n {/* Add to Calendar Button */}\n \n {isDownloading ? (\n \n

\n Generating...\n \n ) : (\n \n 📅 Add to Calendar\n \n )}\n \n\n

This will download an .ics file that you can open with your calendar app

\n\n {/* Instructions */}\n

📱 How to add to your calendar:

1. Tap \"Add to Calendar\" above
2. Open the downloaded .ics file
3. Choose your calendar app (iOS Calendar, Google Calendar, etc.)
4. Confirm to add the event

\n );\n}",[],[107,141,159],"d62fff7a-9caa-11f0-ab67-0224a6c84d84","App.tsx","d630002e-9caa-11f0-ab67-0224a6c84d84",12,["D",1759091800024],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useState } from 'https://esm.sh/react@18.2.0';\nimport UploadForm from './UploadForm.tsx';\nimport EventDisplay from './EventDisplay.tsx';\nimport type { ExtractedEvent } from '../../shared/types.ts';\n\nexport default function App() {\n const [extractedEvent, setExtractedEvent] = useState(null);\n\n const handleEventExtracted = (event: ExtractedEvent) => {\n setExtractedEvent(event);\n };\n\n const handleBack = () => {\n setExtractedEvent(null);\n };\n\n return (\n

\n {extractedEvent ? (\n \n ) : (\n \n )}\n

\n );\n}",[],[107,141,167],["D",1759091668796],[177,178,179],[19],{"_36":68,"_13":69,"_39":70,"_41":42,"_43":44,"_45":71,"_47":48,"_49":204,"_17":65,"_52":66,"_54":-5,"_56":57,"_58":-5,"_87":205,"_18":206},{"_36":60,"_13":61,"_39":62,"_41":42,"_43":44,"_45":63,"_47":48,"_49":183,"_17":65,"_52":66,"_54":-5,"_56":57,"_58":-5,"_87":184,"_18":185},{"_36":37,"_13":38,"_39":40,"_41":42,"_43":44,"_45":46,"_47":48,"_49":180,"_17":51,"_52":53,"_54":55,"_56":57,"_58":-5,"_87":181,"_18":182},["D",1759091809071],[],[19,38],["D",1759091668796],[186,187],[19,61],{"_36":196,"_13":197,"_39":198,"_41":62,"_43":44,"_45":199,"_47":48,"_49":200,"_17":65,"_52":102,"_54":201,"_56":57,"_58":-5,"_87":202,"_18":203},{"_36":188,"_13":189,"_39":190,"_41":62,"_43":44,"_45":191,"_47":48,"_49":192,"_17":51,"_52":102,"_54":193,"_56":57,"_58":-5,"_87":194,"_18":195},"e792874c-9caa-11f0-8336-0224a6c84d84","image.ts","87f8c558-9caa-11f0-99aa-0224a6c84d84",15,["D",1759091829192],"/**\n * Convert ArrayBuffer to base64 string\n */\nexport function arrayBufferToBase64(buffer: ArrayBuffer): string {\n const bytes = new Uint8Array(buffer);\n let binary = '';\n for (let i = 0; i < bytes.byteLength; i++) {\n binary += String.fromCharCode(bytes[i]);\n }\n return btoa(binary);\n}\n\n/**\n * Check if image needs resizing based on file size\n * For now, we'll store images as-is and let the client handle resizing if needed\n */\nexport function shouldResizeImage(fileSize: number, maxSizeBytes: number = 5 * 1024 * 1024): boolean {\n return fileSize > maxSizeBytes;\n}",[],[19,61,189],"8fb94c36-9caa-11f0-a38f-0224a6c84d84","ai.ts","8fb94cea-9caa-11f0-a38f-0224a6c84d84",4,["D",1759091681809],"import { OpenAI } from \"https://esm.town/v/std/openai\";\n\nexport interface EventExtraction {\n title: string | null;\n date: string | null; // ISO date string\n confidence: number;\n}\n\n/**\n * Extract event title and date from image using OpenAI Vision\n */\nexport async function extractEventFromImage(base64Image: string): Promise {\n const openai = new OpenAI();\n \n try {\n const response = await openai.chat.completions.create({\n model: \"gpt-4o-mini\",\n messages: [\n {\n role: \"user\",\n content: [\n {\n type: \"text\",\n text: `Analyze this image of a flyer or poster and extract the event information. \n \n Please provide:\n 1. The main title/name of the event\n 2. The date of the event (convert to ISO format YYYY-MM-DD if possible)\n \n Respond with a JSON object in this exact format:\n {\n \"title\": \"Event Title Here\",\n \"date\": \"2024-01-15\",\n \"confidence\": 0.9\n }\n \n If you cannot find clear title or date information, set those fields to null.\n Set confidence between 0-1 based on how clear the information is.`\n },\n {\n type: \"image_url\",\n image_url: {\n url: `data:image/jpeg;base64,${base64Image}`\n }\n }\n ]\n }\n ],\n max_tokens: 300,\n temperature: 0.1\n });\n\n const content = response.choices[0]?.message?.content;\n if (!content) {\n throw new Error(\"No response from OpenAI\");\n }\n\n // Parse JSON response\n const parsed = JSON.parse(content) as EventExtraction;\n \n // Validate the response structure\n if (typeof parsed.title !== 'string' && parsed.title !== null) {\n parsed.title = null;\n }\n if (typeof parsed.date !== 'string' && parsed.date !== null) {\n parsed.date = null;\n }\n if (typeof parsed.confidence !== 'number') {\n parsed.confidence = 0.5;\n }\n\n return parsed;\n } catch (error) {\n console.error(\"Error extracting event from image:\", error);\n return {\n title: null,\n date: null,\n confidence: 0\n };\n }\n}",[],[19,61,197],["D",1759091706931],[207,208],[19,69],{"_36":217,"_13":218,"_39":219,"_41":70,"_43":44,"_45":220,"_47":48,"_49":221,"_17":65,"_52":102,"_54":222,"_56":57,"_58":-5,"_87":223,"_18":224},{"_36":209,"_13":210,"_39":211,"_41":70,"_43":44,"_45":212,"_47":48,"_49":213,"_17":93,"_52":102,"_54":214,"_56":57,"_58":-5,"_87":215,"_18":216},"ef6d56c2-9caa-11f0-abfd-0224a6c84d84","upload.ts","9eb35632-9caa-11f0-8f29-0224a6c84d84",17,["D",1759091842322],"import { Hono } from \"https://esm.sh/hono@3.11.7\";\nimport { blob } from \"https://esm.town/v/std/blob\";\nimport { extractEventFromImage } from \"../utils/ai.ts\";\nimport type { UploadResponse, ExtractedEvent } from \"../../shared/types.ts\";\n\nconst upload = new Hono();\n\nupload.post(\"/\", async (c) => {\n try {\n const formData = await c.req.formData();\n const file = formData.get(\"photo\") as File;\n \n if (!file) {\n return c.json({ \n success: false, \n error: \"No photo uploaded\" \n }, 400);\n }\n\n // Validate file type\n if (!file.type.startsWith(\"image/\")) {\n return c.json({ \n success: false, \n error: \"File must be an image\" \n }, 400);\n }\n\n // Generate unique ID for this photo\n const photoId = `photo_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`;\n \n // Convert to base64 for AI analysis\n const arrayBuffer = await file.arrayBuffer();\n const base64 = arrayBufferToBase64(arrayBuffer);\n \n // Store the original image\n await blob.set(photoId, arrayBuffer);\n \n // Extract event information using AI\n const extraction = await extractEventFromImage(base64);\n \n if (!extraction.title || !extraction.date) {\n return c.json({\n success: false,\n error: \"Could not extract event title and date from the image. Please make sure the image shows a clear flyer or poster with event information.\"\n }, 400);\n }\n\n const photoUrl = `${new URL(c.req.url).origin}/api/photo/${photoId}`;\n \n const event: ExtractedEvent = {\n title: extraction.title,\n date: extraction.date,\n photoUrl,\n photoId\n };\n\n return c.json({\n success: true,\n event\n });\n\n } catch (error) {\n console.error(\"Upload error:\", error);\n return c.json({ \n success: false, \n error: \"Failed to process image\" \n }, 500);\n }\n});\n\n// Serve uploaded photos\nupload.get(\"/photo/:id\", async (c) => {\n const photoId = c.req.param(\"id\");\n \n try {\n const imageData = await blob.get(photoId);\n if (!imageData) {\n return c.notFound();\n }\n\n return new Response(imageData, {\n headers: {\n \"Content-Type\": \"image/jpeg\",\n \"Cache-Control\": \"public, max-age=31536000\"\n }\n });\n } catch (error) {\n console.error(\"Error serving photo:\", error);\n return c.notFound();\n }\n});\n\nexport default upload;",[],[19,69,210],"a87f3780-9caa-11f0-9ad5-0224a6c84d84","calendar.ts","a87f3870-9caa-11f0-9ad5-0224a6c84d84",6,["D",1759091723368],"import { Hono } from \"https://esm.sh/hono@3.11.7\";\nimport type { CalendarEvent } from \"../../shared/types.ts\";\n\nconst calendar = new Hono();\n\n/**\n * Generate ICS file content for calendar event\n */\nfunction generateICS(event: CalendarEvent): string {\n const now = new Date();\n const eventDate = new Date(event.date);\n \n // Format dates for ICS (YYYYMMDDTHHMMSSZ)\n const formatDate = (date: Date) => {\n return date.toISOString().replace(/[-:]/g, '').split('.')[0] + 'Z';\n };\n \n const dtStamp = formatDate(now);\n const dtStart = formatDate(eventDate);\n const uid = `event-${Date.now()}@eventextractor.val.town`;\n \n const icsContent = [\n 'BEGIN:VCALENDAR',\n 'VERSION:2.0',\n 'PRODID:-//Event Extractor//Event Extractor App//EN',\n 'BEGIN:VEVENT',\n `UID:${uid}`,\n `DTSTAMP:${dtStamp}`,\n `DTSTART:${dtStart}`,\n `SUMMARY:${event.title}`,\n `DESCRIPTION:Event extracted from flyer. 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