[{"_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":53,"_13":14,"_104":-5,"_11":105,"_106":107,"_108":109,"_110":111,"_112":113,"_20":-5,"_114":-5,"_115":-5,"_116":25,"_117":118,"_119":120,"_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":53,"_54":-5,"_18":55,"_56":-5,"_57":25,"_58":-5,"_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",13,"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","1294763c-7958-11f1-8900-1607ee4eb77e","name","fileType","http","content","import { OpenAI } from \"https://esm.town/v/std/openai\";\n\nfunction toBase64(bytes: Uint8Array): string {\n let binary = \"\";\n const chunk = 0x8000;\n for (let i = 0; i < bytes.length; i += chunk) {\n binary += String.fromCharCode.apply(\n null,\n bytes.subarray(i, i + chunk) as unknown as number[],\n );\n }\n return btoa(binary);\n}\n\nconst HTML = /* html */ `\n\n\n\n\n截图转可编辑表格 → 复制到 PPT / 导出 Excel\n\n\n\n\n

截图转可编辑表格

粘贴表格截图 → 识别（支持合并单元格）→ 编辑 → 复制到 PPT / 导出 Excel

\n\n

\n 点击此处后按 Ctrl/Cmd + V 粘贴截图，或把图片拖进来\n

\n\n

$\"预览\"$

\n\n \n\n

\n 提示：识别结果可直接在表格里编辑；「复制到 PPT」会保留微软雅黑+黑色边框+合并单元格。
\n 「导出 Excel」会保留数据与合并单元格（Excel 字体/边框可在 Excel 中一键套用样式）。\n

\n\n\n\n`;\n\nexport default async function (req: Request): Promise {\n if (req.method === \"POST\") {\n console.log(\n \"收到 POST 请求, content-type:\",\n req.headers.get(\"content-type\"),\n );\n try {\n const form = await req.formData();\n const file = form.get(\"image\");\n if (!(file instanceof File)) {\n return Response.json({ error: \"缺少图片数据\" }, { status: 400 });\n }\n\n const bytes = new Uint8Array(await file.arrayBuffer());\n const dataUrl = \"data:\" + (file.type || \"image/jpeg\") + \";base64,\" +\n toBase64(bytes);\n\n const openai = new OpenAI();\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o-mini\",\n messages: [\n {\n role: \"system\",\n content:\n \"你是一个表格识别助手。用户会给你一张表格截图，请精确提取其中的表格内容，并识别合并单元格。\\\\n\" +\n \"只返回 JSON，格式为：\\\\n\" +\n '{\"rows\": [[\"A\",\"B\"],[\"C\",\"D\"]], \"merges\": [{\"s\":{\"r\":0,\"c\":0},\"e\":{\"r\":0,\"c\":1}}]}\\\\n' +\n \"规则：\\\\n\" +\n \"1. rows 是二维数组，每个内层数组是一行，元素按列顺序排列，所有行的列数必须一致，空单元格用空字符串。\\\\n\" +\n \"2. merges 描述合并单元格：s 是左上角坐标，e 是右下角坐标，行列均从 0 开始计数。没有合并则为空数组 []。\\\\n\" +\n \"3. 对于被合并覆盖的单元格，文本只放在其左上角对应的位置，被覆盖的其他位置在 rows 中填空字符串。\\\\n\" +\n \"不要输出任何解释或 markdown，只输出 JSON。\",\n },\n {\n role: \"user\",\n content: [\n {\n type: \"text\",\n text: \"请提取这张图片中的表格（含合并单元格）：\",\n },\n { type: \"image_url\", image_url: { url: dataUrl } },\n ],\n },\n ],\n response_format: { type: \"json_object\" },\n max_tokens: 4000,\n });\n\n const raw = completion.choices[0]?.message?.content ?? \"{}\";\n const parsed = JSON.parse(raw);\n return Response.json({\n rows: parsed.rows ?? [],\n merges: parsed.merges ?? [],\n });\n } catch (e) {\n console.error(\"识别出错:\", e);\n return Response.json({ error: String(e) }, { status: 500 });\n }\n }\n\n const u = new URL(req.url);\n return new Response(HTML.replace(\"__ENDPOINT__\", u.origin + u.pathname), {\n headers: { \"Content-Type\": \"text/html; charset=utf-8\" },\n });\n}","import { OpenAI } from \"https://esm.town/v/std/openai\";\n\nfunction toBase64(bytes: Uint8Array): string {\n let binary = \"\";\n const chunk = 0x8000;\n for (let i = 0; i < bytes.length; i += chunk) {\n binary += String.fromCharCode.apply(null, bytes.subarray(i, i + chunk) as unknown as number[]);\n }\n return btoa(binary);\n}\n\nconst HTML = /* html */ `\n\n\n\n\n截图转可编辑表格 → 复制到 PPT / 导出 Excel\n\n\n\n\n

截图转可编辑表格

粘贴表格截图 → 识别（支持合并单元格）→ 编辑 → 复制到 PPT / 导出 Excel

\n\n

\n 点击此处后按 Ctrl/Cmd + V 粘贴截图，或把图片拖进来\n

\n\n

$\"预览\"$

\n\n \n\n

\n\n\n\n`;\n\nexport default async function (req: Request): Promise {\n if (req.method === \"POST\") {\n console.log(\"收到 POST 请求, content-type:\", req.headers.get(\"content-type\"));\n try {\n const form = await req.formData();\n const file = form.get(\"image\");\n if (!(file instanceof File)) return Response.json({ error: \"缺少图片数据\" }, { status: 400 });\n\n const bytes = new Uint8Array(await file.arrayBuffer());\n const dataUrl = \"data:\" + (file.type || \"image/jpeg\") + \";base64,\" + toBase64(bytes);\n\n const openai = new OpenAI();\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n {\n role: \"system\",\n content:\n \"你是一个表格识别助手。用户会给你一张表格截图，请精确提取其中的表格内容，并识别合并单元格。\\\\n\" +\n \"只返回 JSON，格式为：\\\\n\" +\n '{\"rows\": [[\"A\",\"B\"],[\"C\",\"D\"]], \"merges\": [{\"s\":{\"r\":0,\"c\":0},\"e\":{\"r\":0,\"c\":1}}]}\\\\n' +\n \"规则：\\\\n\" +\n \"1. rows 是二维数组，每个内层数组是一行，元素按列顺序排列，所有行的列数必须一致，空单元格用空字符串。\\\\n\" +\n \"2. merges 描述合并单元格：s 是左上角坐标，e 是右下角坐标，行列均从 0 开始计数。没有合并则为空数组 []。\\\\n\" +\n \"3. 对于被合并覆盖的单元格，文本只放在其左上角对应的位置，被覆盖的其他位置在 rows 中填空字符串。\\\\n\" +\n \"不要输出任何解释或 markdown，只输出 JSON。\",\n },\n {\n role: \"user\",\n content: [\n { type: \"text\", text: \"请提取这张图片中的表格（含合并单元格）：\" },\n { type: \"image_url\", image_url: { url: dataUrl } },\n ],\n },\n ],\n response_format: { type: \"json_object\" },\n max_tokens: 4000,\n });\n\n const raw = completion.choices[0]?.message?.content ?? \"{}\";\n const parsed = JSON.parse(raw);\n return Response.json({ rows: parsed.rows ?? 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Diff · v13