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Now I'm mapping out the remaining restaurants and shops to their positions on the grid, working through the left column establishments and preparing to assign percentage-based coordinates for each location based on the map layout. Continuing to map out the vertical rows, I'm estimating positions for shops like 현대반찬, 옥수식당, 산채식당 and others further down the market layout, working through the remaining rows to complete the coordinate system for all the vendor locations. Now I'm mapping out the remaining restaurants across the grid, positioning them by column and approximate vertical placement on the market map. Once I have all 19 restaurants positioned, I'll need to integrate the actual market image as the interactive background, download it to the project, and overlay markers at these coordinates. I'll also need to gather food photos for each restaurant, or use placeholder images if photos aren't available. Since the markers will overlay on the building names in the detailed map, I'll place highlight dots directly on the named buildings and use tooltips on hover to show the restaurant name. I'm planning to install react-zoom-pan-pinch for mobile pinch and wheel zoom support, then download the map image, generate the 19 food images in batches, read the current files, and rewrite the data structure with coordinates and image paths before updating the market-map component to use the real map with interactive markers and zoom/pan functionality.46:o9,117:T97f,46:o97f,I'm looking at the rendered map image and estimating the pixel coordinates for each of the 19 restaurants as percentages of the total width and height, starting with the first entry. Continuing with the remaining restaurants on the map, I'm calculating positions for entries 10 through 19, placing them across the center and right columns of the layout. Now I need to assign category labels to each of these establishments. Looking at the available categories—한식, 분식, 해산물, 카페, and 전통음식—I'm working through each restaurant's specialty to find the best fit. Most fall into clear categories: the noodle dishes and soups map to 한식, the fried snacks and pastries to 분식, and the seafood-focused places to 해산물. But I'm running into an issue with the pizza place—it doesn't fit neatly into any of the existing categories, so I might need to add a new "기타" (miscellaneous) category to accommodate it. Assigning categories to each restaurant based on their menu items — most fall into Korean food, seafood, or casual snacks, with a few traditional specialties. I notice there's no café in the actual data, so I should drop that category and stick with the four that have entries: Korean, seafood, snacks, and traditional food. Now I'm looking at the pricing information, where some restaurants list specific prices and others just say "문의" for inquiries. Since the data doesn't include operating hours or phone numbers, I'll make those fields optional and focus the detail card on what's actually available — the restaurant name, category, price, description, and location. The spec emphasizes showing the selected location highlighted on the map, so I'll make sure that's the main visual element in the detail view rather than trying to display missing information. For the food images, I have some existing ones I can reuse like the dakgangjeong and kalguksu photos, but I'll need to generate new images for the remaining dishes to ensure each one accurately represents what's being served. That means creating images for all 19 dishes with their specific names so the menu looks cohesive and visually appealing. Continuing to map out the remaining dishes and their image file paths, organizing them for batch generation calls. Now I'm planning to install the zoom/pan library and start generating the 14 new images in parallel batches while also updating the data structures.46:o475,118:T461,[V0_FILE]png:file="/public/images/songi-jjalbbang.png" url="https://hebbkx1anhila5yf.public.blob.vercel-storage.com/attachments/gen-images/vercel/share/v0-project/public/images/songi-jjalbbang-kmWqnxdGe60nePQZMu1f1jVd0kwFeD.png" [V0_FILE]png:file="/public/images/walnut-cake.png" url="https://hebbkx1anhila5yf.public.blob.vercel-storage.com/attachments/gen-images/vercel/share/v0-project/public/images/walnut-cake-n6FRzoGy6oqS8CtCCxP7DrQSBJBQrX.png" [V0_FILE]png:file="/public/images/donut.png" url="https://hebbkx1anhila5yf.public.blob.vercel-storage.com/attachments/gen-images/vercel/share/v0-project/public/images/donut-FfbihPvgkf1F3a6kQ56NnImutvNRHt.png" [V0_FILE]png:file="/public/images/jang-kalguksu.png" 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배포하시겠어요?"]]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"x04YIPcZlgUPtEMyZ3VgXVLfsjSC0Yiu","gitRevision":null,"streaming":false,"finishReason":"stop","parentId":"tDUZjDCb0Ntcoazx2kg917gErxOHsKbr","type":"message","creditCost":0.408285,"workMetrics":{"diffMap":{}},"createdAt":"$D2026-06-10T05:29:38.540Z","updatedAt":"$D2026-06-10T05:30:09.254Z"},{"content":{"type":"parts","parts":[{"type":"mdx","content":""}],"version":1},"role":"user","id":"R2huY2nO2NGDpBtYkYMLPfgkSwq8d8o2","attachments":[{"url":"https://hebbkx1anhila5yf.public.blob.vercel-storage.com/text-attachment-1e526860-ac1f-4f9c-a890-43b8528d7856.txt","name":"text-attachment.txt","size":4152,"contentType":"text/plain"},{"url":"https://hebbkx1anhila5yf.public.blob.vercel-storage.com/04e59027-55e1-4805-bc6d-b289d39006e1.jpeg","size":246985,"contentType":"image/png"}],"parentId":"x04YIPcZlgUPtEMyZ3VgXVLfsjSC0Yiu","type":"message","authorId":"kIMAXCz0ciigY9SbfzFyCmbF","createdAt":"$D2026-07-07T10:43:05.191Z"},{"v0ModelId":"v0-max","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1783420986622,"finishedAt":1783420986622,"lastPartSentAt":1783420986622,"id":"sEFBydN3Q4mRcpFK","type":"task-start-v1","parts":[{"type":"launch-tasks"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1783420986622,"finishedAt":1783420987335,"lastPartSentAt":1783420987313,"taskNameActive":"Reading 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Let me analyze the map: it's a top-down floor plan of 양양전통시장 with named shop cells arranged in columns and corridors, red arrows showing the walking route. 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The map appears to be roughly 1540x880 pixels based on the attachment description, giving it an aspect ratio close to 1:1, which I can use to estimate where elements are positioned."}]}}],["p",{},["text",{},"Let me get the exact map dimensions to set the correct aspect ratio."]],["AssistantMessageContentPart",{"part":{"createdAt":1783421085124,"finishedAt":1783421086175,"lastPartSentAt":1783421086026,"taskNameActive":"Checking image size","taskNameComplete":"Checked image size","toolCallId":"toolu_014iDeXFoPiq9stLrvbXWeuh","agentTurnId":"turn_j6t8S5WMhyW76Rt4","filePath":null,"id":"iiAONU33vUqxYP6j","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && (identify public/images/market-map.jpeg 2>/dev/null || node -e \"const {execSync}=require('child_process');const b=require('fs').readFileSync('public/images/market-map.jpeg');let o=2;while(o=0xC0&&m<=0xC3){console.log('height',b.readUInt16BE(o+5),'width',b.readUInt16BE(o+7));process.exit(0);}o+=2+len;}\")"}},{"type":"subtask-log","data":{"logType":"created-terminal"},"id":"WxwQEAVAT1BJLVz5"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":""},"id":"1ZiqUDSPA63fiP1X"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1783421089097,"finishedAt":1783421089364,"lastPartSentAt":1783421089343,"taskNameActive":"Viewing market map","taskNameComplete":"Viewed market map","toolCallId":"toolu_01JAHATniGHq2iNNSjXsePxM","agentTurnId":"turn_0ZuLG7obNx95NQLr","filePath":null,"id":"3vcRINkGJ3SmSMkf","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/public/images/market-map.jpeg"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1783421094353,"finishedAt":1783421159559,"lastPartSentAt":1783421159559,"taskNameActive":null,"id":"RXU4G9W30A9jOmmG","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":65,"thought":"$117"}]}}],["p",{},["text",{},"The map is clear now. It's a top-down floor plan (~1540×858, ~16:9). I can see each restaurant's real cell position. Now let me plan the build:"]],["ul",{"start":1},["li",{"index":1},["text",{},"Replace the illustrated map with the real uploaded map, add pinch/zoom + pan (via "],["code",{},"react-zoom-pan-pinch"],["text",{},")."]],["li",{"index":2},["text",{},"Place markers at each restaurant's real cell location."]],["li",{"index":3},["text",{},"Replace data with the 19 real restaurants (dropping unused hours/phone fields since they weren't provided; adding a location note instead)."]],["li",{"index":4},["text",{},"Generate dish photos for the new menu items."]]],["p",{},["text",{},"Let me install the zoom library and start generating dish images in 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