{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "059cca54-7257-44be-991f-85d83572666e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "API /nai3> 开始绘图\n",
      "API /nai3> 绘图成功\n",
      "API /nai3> 图片转码失败\n",
      "{'status': 'error', 'msg': '图片转码失败'}\n"
     ]
    }
   ],
   "source": [
    "# keys管理\n",
    "\n",
    "keys = {}\n",
    "\n",
    "def get(key): # 读取key\n",
    "    global keys\n",
    "    return keys[key]\n",
    "\n",
    "def set(key, status): # 存在key 则设置\n",
    "    global keys\n",
    "    if status in [True,False]:\n",
    "        if key in keys:\n",
    "            keys[key] = status\n",
    "\n",
    "def add(key): # 添加key\n",
    "    global keys\n",
    "    if key not in keys:\n",
    "        keys[key] = True\n",
    "    save()\n",
    "\n",
    "def delete(key): # 删除key\n",
    "    global keys\n",
    "    del keys[key]\n",
    "    save()\n",
    "\n",
    "def save():\n",
    "    global keys\n",
    "    with open('keys.txt','w') as f:\n",
    "        f.write('\\n'.join(list(keys.keys())))\n",
    "\n",
    "def load():\n",
    "    global keys\n",
    "    with open('keys.txt','r') as f:\n",
    "        keys = {i:True for i in f.read().split('\\n') if i}\n",
    "\n",
    "load()\n",
    "\n",
    "# nai3绘画\n",
    "\n",
    "import requests, zipfile, os, random, time, shutil, urllib3, json\n",
    "urllib3.disable_warnings()\n",
    "\n",
    "IMAGE_URL = 'https://image.novelai.net/'#'https://image.goutou.cc/'#\n",
    "\n",
    "# 适配ai3参数\n",
    "def check_data(dict): \n",
    "    inp = {\n",
    "        \"model\": \"nai-diffusion-3\",\n",
    "        \"prompt\": \"\",\n",
    "        'img':'',\n",
    "        \"size\": \"832x1216\",\n",
    "        \"n_prompt\": \"lowres, {bad}, error, fewer, extra, missing, worst quality, jpeg artifacts, bad quality, watermark, unfinished, displeasing, chromatic aberration, signature, extra digits, artistic error, username, scan, [abstract]\",\n",
    "        \"steps\": \"28\",\n",
    "        \"scale\": \"5\",\n",
    "        \"auto\": False,\n",
    "        \"cfg_scale\": \"0\",\n",
    "        \"seed\": \"-1\",\n",
    "        \"sampler\": \"k_euler\",\n",
    "        \"SMEA\": False,\n",
    "        \"DYN\": False,\n",
    "        \"noise\": \"native\"\n",
    "    }\n",
    "\n",
    "    inp |= {k: v for k, v in dict.items() if k in ['model', 'prompt','img', 'size', 'n_prompt', 'steps', 'scale', 'auto', 'cfg_scale', 'seed', 'sampler', 'SMEA', 'DYN', 'noise']}\n",
    "\n",
    "    if int(inp['seed']) == -1:\n",
    "        inp['seed'] = random.randint(0,21474836)\n",
    "\n",
    "    data = {\n",
    "        \"input\":inp['prompt'], # 提示词\n",
    "        \"model\":inp['model'], # 模型\n",
    "        \"action\":\"generate\",\n",
    "        \"parameters\":{\n",
    "            \"params_version\":1,\n",
    "            \"width\":int(inp['size'].split('x')[0]), # 宽度\n",
    "            \"height\":int(inp['size'].split('x')[1]), # 高度\n",
    "            \"scale\":float(inp['scale']),# 提示词引导值\n",
    "            \"sampler\":inp['sampler'], # 采样器\n",
    "            \"steps\": int(inp['steps']), # 步数\n",
    "            \"seed\": int(inp['seed']),  # 种子\n",
    "            \"sm\":bool(inp['SMEA']), # SMEA\n",
    "            \"sm_dyn\":bool(inp['DYN']), # DYN\n",
    "            \"cfg_rescale\":float(inp['cfg_scale']), # 缩放提示词引导式\n",
    "            \"noise_schedule\":inp['noise'], # 噪声计划表\n",
    "            \"negative_prompt\":inp['n_prompt'], # 反向提示词\n",
    "        }\n",
    "    }\n",
    "\n",
    "    # 图生图\n",
    "    if inp['img'] != 'data:,' and inp['img'] != '':\n",
    "        data[\"action\"] = \"img2img\"\n",
    "        data[\"parameters\"][\"image\"] = inp['img'].split(',')[1] if ',' in inp['img'] else inp['img']\n",
    "        data[\"parameters\"][\"noise\"] = 0\n",
    "        data[\"parameters\"][\"strength\"] = 0.7\n",
    "        data[\"parameters\"][\"extra_noise_seed\"] = 3263049076\n",
    "        \n",
    "    return data\n",
    "\n",
    "# 提交任务\n",
    "def draw(prompt,apikey,savepath):\n",
    "    global IMAGE_URL\n",
    "    \n",
    "    # 开始计时\n",
    "    start_time = time.time()\n",
    "\n",
    "    print('API /nai3> 开始绘图')\n",
    "\n",
    "    try:\n",
    "        draw_data = check_data(prompt)\n",
    "    except Exception as e:\n",
    "        print('API /nai3> 参数错误',e)\n",
    "        return {'status': 'error', 'msg':'参数错误'}\n",
    "    \n",
    "    try:\n",
    "        response = requests.post(IMAGE_URL+'ai/generate-image', json=draw_data, headers={\n",
    "            \"Authorization\": \"Bearer \" + apikey,\n",
    "            \"Content-type\": \"application/json\",\n",
    "            \"Referer\": \"https://novelai.net/\",\n",
    "            \"User-agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.6045.160 Safari/537.36\",\n",
    "        })\n",
    "    except:\n",
    "        print('API /nai3> 连接绘图服务器失败')\n",
    "        return {'status': 'error', 'msg':'连接绘图服务器失败'}\n",
    "\n",
    "    # 判断是否成功\n",
    "    try:\n",
    "        data = response.json()\n",
    "\n",
    "        # 绘图失败\n",
    "        if 'statusCode' in data and 'message' in data:\n",
    "            wrong = f'{data[\"statusCode\"]}: {data[\"message\"]}'\n",
    "\n",
    "            print(f'API /nai3> 绘图失败 {wrong}')\n",
    "            return {'status': 'error', 'msg': wrong}\n",
    "        else:\n",
    "            # 无法获取错误信息\n",
    "            wrong = '无法得到正确响应，请检查地址'\n",
    "\n",
    "            print(f'API /nai3> 绘图失败 {wrong}')\n",
    "            return {'status': 'error', 'msg': wrong}\n",
    "        \n",
    "    except:\n",
    "\n",
    "        # 绘画成功\n",
    "        print('API /nai3> 绘图成功')\n",
    "        try:\n",
    "            down_img(response.content,savepath)\n",
    "            return {\n",
    "                'status' : 'ok',\n",
    "                'time' : str(time.time() - start_time)\n",
    "            }\n",
    "        except:\n",
    "            print('API /nai3> 图片转码失败')\n",
    "            return {'status': 'error', 'msg':'图片转码失败'}\n",
    "\n",
    "# 处理图片\n",
    "def down_img(content,savepath:str):\n",
    "\n",
    "    # 清理文件\n",
    "    if os.path.exists(savepath):\n",
    "        os.remove(savepath)\n",
    "    if os.path.exists(f'{savepath}.zip'):\n",
    "        os.remove(f'{savepath}.zip')\n",
    "    if os.path.exists(f'{savepath}-f'):\n",
    "        shutil.rmtree(f'{savepath}-f')\n",
    "\n",
    "    # 如果文件夹不存在，则创建\n",
    "    if not os.path.exists(savepath.replace(savepath.split('/')[-1],'')):\n",
    "        os.makedirs(savepath.replace(savepath.split('/')[-1],''))\n",
    "\n",
    "    try:\n",
    "        # 转得图片文件夹\n",
    "        with open(f'{savepath}.zip', 'wb') as f:\n",
    "            f.write(content)\n",
    "\n",
    "        with zipfile.ZipFile(f'{savepath}.zip', 'r') as zip_ref:\n",
    "            zip_ref.extractall(f'{savepath}-f')\n",
    "        os.remove(f'{savepath}.zip')\n",
    "        \n",
    "        print('API /nai3> 下载解压图片成功')\n",
    "    except:\n",
    "        print('API /nai3> 下载解压图片失败')\n",
    "        return {'status': 'error', 'msg':'下载解压图片失败'}\n",
    "\n",
    "    # 提取图片\n",
    "    os.rename(f'{savepath}-f/image_0.png', savepath)\n",
    "\n",
    "    shutil.rmtree(f'{savepath}-f')\n",
    "\n",
    "    print('API /nai3> 提取图片成功')\n",
    "\n",
    "# 准备参数\n",
    "apikey = \"pst-HldliYUSKyTUF4lmAPnMXd4PuK6Ff6nBxnf5QnHz4w5rw96jAqwFqDsK68vpGjxH\"\n",
    "prompt = {\n",
    "    \"prompt\": \"a beautiful landscape with mountains and rivers\",\n",
    "    \"steps\": \"28\",\n",
    "    \"scale\": \"5\",\n",
    "    \"size\": \"832x1216\",\n",
    "    \"sampler\": \"k_euler\"\n",
    "}\n",
    "savepath = \"output_image.png\"\n",
    "\n",
    "# 调用绘图函数\n",
    "result = draw(prompt, apikey, savepath)\n",
    "\n",
    "# 打印结果\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef4ee159-3ca1-4b21-abda-f586dff8943d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}