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#                docker-compose.yml
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# 1. 请在以下方案中选择任意一种，然后删除其他的方案
# 2. 修改你选择的方案中的environment环境变量，详情请见github wiki或者config.py
# 3. 选择一种暴露服务端口的方法，并对相应的配置做出修改：
    # 「方法1: 适用于Linux，很方便，可惜windows不支持」与宿主的网络融合为一体，这个是默认配置
    # network_mode: "host"
    # 「方法2: 适用于所有系统包括Windows和MacOS」端口映射，把容器的端口映射到宿主的端口（注意您需要先删除network_mode: "host"，再追加以下内容）
    # ports:
    #   - "12345:12345"  # 注意！12345必须与WEB_PORT环境变量相互对应
# 4. 最后`docker-compose up`运行
# 5. 如果希望使用显卡，请关注 LOCAL_MODEL_DEVICE 和 英伟达显卡运行时 选项
## ===================================================
# 1. Please choose one of the following options and delete the others.
# 2. Modify the environment variables in the selected option, see GitHub wiki or config.py for more details.
# 3. Choose a method to expose the server port and make the corresponding configuration changes:
    # [Method 1: Suitable for Linux, convenient, but not supported for Windows] Fusion with the host network, this is the default configuration
    # network_mode: "host"
    # [Method 2: Suitable for all systems including Windows and MacOS] Port mapping, mapping the container port to the host port (note that you need to delete network_mode: "host" first, and then add the following content)
    # ports:
    # - "12345: 12345" # Note! 12345 must correspond to the WEB_PORT environment variable.
# 4. Finally, run `docker-compose up`.
# 5. If you want to use a graphics card, pay attention to the LOCAL_MODEL_DEVICE and Nvidia GPU runtime options.
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## ===================================================
## 「方案零」 部署项目的全部能力（这个是包含cuda和latex的大型镜像。如果您网速慢、硬盘小或没有显卡，则不推荐使用这个）
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## ===================================================
## 「方案一」 如果不需要运行本地模型（仅 chatgpt, azure, 星火, 千帆, claude 等在线大模型服务）
## ===================================================
version: '3'
services:
  gpt_academic_nolocalllms:
    image: ghcr.io/binary-husky/gpt_academic_nolocal:master # (Auto Built by Dockerfile: docs/GithubAction+NoLocal)
    environment:
      # 请查阅 `config.py` 以查看所有的配置信息
      API_KEY:                  '    sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx                                            '
      USE_PROXY:                '    True                                                                                           '
      proxies:                  '    { "http": "socks5h://localhost:10880", "https": "socks5h://localhost:10880", }                 '
      LLM_MODEL:                '    gpt-3.5-turbo                                                                                  '
      AVAIL_LLM_MODELS:         '    ["gpt-3.5-turbo", "api2d-gpt-3.5-turbo", "gpt-4", "api2d-gpt-4", "sparkv2", "qianfan"]         '
      WEB_PORT:                 '    22303                                                                                          '
      ADD_WAIFU:                '    True                                                                                           '
      # THEME:                    '    Chuanhu-Small-and-Beautiful                                                                    '
      # DEFAULT_WORKER_NUM:       '    10                                                                                             '
      # AUTHENTICATION:           '    [("username", "passwd"), ("username2", "passwd2")]                                             '

    # 「WEB_PORT暴露方法1: 适用于Linux」与宿主的网络融合
    network_mode: "host"

    # 启动命令
    command: >
      bash -c "python3 -u main.py"


### ===================================================
### 「方案二」 如果需要运行ChatGLM + Qwen + MOSS等本地模型
### ===================================================