feat: add frps/frpc/mineru-sgalng

README.md

@@ -5,9 +5,11 @@ Compose Anything helps users quickly deploy various services by providing a set
 ## Supported Services
 
 | Service                                  | Version |
-| ---------------------------- | ------- |
+| ---------------------------------------- | ------- |
 | [Redis](./src/redis)                     | 8.2.1   |
 | [MinerU v2](./src/mineru-v2)             | 2.5.3   |
+| [Bifrost Gateway](./src/bifrost-gateway) | 1.2.15  |
+| [Docker Registry](./src/docker-registry) | 3.0.0   |
 
 ## Guidelines
 

README.zh.md

@@ -5,9 +5,11 @@ Compose Anything 通过提供一组高质量的 Docker Compose 配置文件，
 ## 已经支持的服务
 
 | 服务                                     | 版本   |
-| ---------------------------- | ----- |
+| ---------------------------------------- | ------ |
 | [Redis](./src/redis)                     | 8.2.1  |
 | [MinerU v2](./src/mineru-v2)             | 2.5.3  |
+| [Bifrost Gateway](./src/bifrost-gateway) | 1.2.15 |
+| [Docker Registry](./src/docker-registry) | 3.0.0  |
 
 ## 规范
 

src/frpc/README.md

@@ -0,0 +1,32 @@
+# FRPC
+
+内网穿透客户端。
+
+以 SSH 服务穿透为例，新建 `frpc.toml` 配置文件，内容如下：
+
+```toml
+[common]
+server_addr = {{ .Envs.FRP_SERVER_ADDR }}
+server_port = {{ .Envs.FRP_SERVER_PORT }}
+token       = {{ .Envs.FRP_SERVER_TOKEN }}
+
+[app_22]
+type = "tcp"
+remote_port = 23922
+local_ip    = 192.168.10.100
+local_port  = 22
+```
+
+配置远程 FRPS 服务地址到 `.env` 文件中：
+
+```properties
+FRP_SERVER_ADDR=frps.example.com
+FRP_SERVER_PORT=9870
+FRP_SERVER_TOKEN=password
+```
+
+启动服务，即可代理 `192.168.10.100:22` 到 `FRP_SERVER_ADDR:23922`。
+
+```bash
+docker compose up -d
+```

src/frpc/docker-compose.yaml

@@ -0,0 +1,30 @@
+x-default: &default
+  restart: unless-stopped
+  volumes:
+    - &localtime /etc/localtime:/etc/localtime:ro
+    - &timezone /etc/timezone:/etc/timezone:ro
+  logging:
+    driver: json-file
+    options:
+      max-size: 100m
+
+services:
+  frpc:
+    <<: *default
+    image: snowdreamtech/frpc:${FRPC_VERSION:-0.64.0}
+    volumes:
+      - *localtime
+      - *timezone
+      - ./frpc.toml:/etc/frp/frpc.toml:ro
+    environment:
+      FRP_SERVER_ADDR: ${FRP_SERVER_ADDR}
+      FRP_SERVER_PORT: ${FRP_SERVER_PORT}
+      FRP_SERVER_TOKEN: ${FRP_SERVER_TOKEN}
+    deploy:
+      resources:
+        limits:
+          cpus: '0.5'
+          memory: 128M
+        reservations:
+          cpus: '0.1'
+          memory: 64M

src/frpc/frpc.toml

@@ -0,0 +1,10 @@
+[common]
+server_addr = {{ .Envs.FRP_SERVER_ADDR }}
+server_port = {{ .Envs.FRP_SERVER_PORT }}
+token       = {{ .Envs.FRP_SERVER_TOKEN }}
+
+[app]
+type = "tcp"
+remote_port = 22
+local_ip    = {{ .Envs.APP_HOST }}
+local_port  = 22

src/frps/README.zh.md

@@ -0,0 +1,35 @@
+# FRPS
+
+内网穿透服务端。
+
+新建 `frps.toml` 配置文件，内容如下：
+
+```toml
+[common]
+bind_port = {{ .Envs.FRP_SERVER_PORT }}
+token     = {{ .Envs.FRP_SERVER_TOKEN }}
+
+dashboard_addr = 0.0.0.0
+dashboard_port = {{ .Envs.FRP_ADMIN_PORT }}
+dashboard_user = {{ .Envs.FRP_ADMIN_USER }}
+dashboard_pwd  = {{ .Envs.FRP_ADMIN_PASS }}
+```
+
+配置密钥等信息到 `.env` 文件中：
+
+```properties
+FRP_SERVER_TOKEN=token
+FRP_ADMIN_USER=admin
+FRP_ADMIN_PASS=password
+```
+
+启动服务，即可代理客户端请求，注意需要将客户端的端口映射出来。可以通过 HOST 网络或共享网络的方式共享服务。
+
+使用如下方法启用 HOST 模式：
+
+```yaml
+services:
+  frps:
+    # ...
+    network_mode: host
+```

src/frps/docker-compose.yaml

@@ -0,0 +1,35 @@
+x-default: &default
+  restart: unless-stopped
+  volumes:
+    - &localtime /etc/localtime:/etc/localtime:ro
+    - &timezone /etc/timezone:/etc/timezone:ro
+  logging:
+    driver: json-file
+    options:
+      max-size: 100m
+
+services:
+  frps:
+    <<: *default
+    image: snowdreamtech/frps:${FRPS_VERSION:-0.64.0}
+    volumes:
+      - *localtime
+      - *timezone
+      - ./frps.toml:/etc/frp/frps.toml:ro
+    ports:
+      - ${FRP_PORT_OVERRIDE_SERVER:-9870}:${FRP_SERVER_PORT:-9870}
+      - ${FRP_PORT_OVERRIDE_ADMIN:-7890}:${FRP_ADMIN_PORT:-7890}
+    environment:
+      FRP_SERVER_TOKEN: ${FRP_SERVER_TOKEN}
+      FRP_SERVER_PORT: ${FRP_SERVER_PORT:-9870}
+      FRP_ADMIN_PORT: ${FRP_ADMIN_PORT:-7890}
+      FRP_ADMIN_USER: ${FRP_ADMIN_USER:-admin}
+      FRP_ADMIN_PASS: ${FRP_ADMIN_PASS:-password}
+    deploy:
+      resources:
+        limits:
+          cpus: '0.5'
+          memory: 128M
+        reservations:
+          cpus: '0.1'
+          memory: 64M

src/frps/frps.toml

@@ -0,0 +1,8 @@
+[common]
+bind_port = {{ .Envs.FRP_SERVER_PORT }}
+token = {{ .Envs.FRP_SERVER_TOKEN }}
+
+dashboard_addr = 0.0.0.0
+dashboard_port = {{ .Envs.FRP_ADMIN_PORT }}
+dashboard_user = {{ .Envs.FRP_ADMIN_USER }}
+dashboard_pwd = {{ .Envs.FRP_ADMIN_PASS }}

src/mineru-sgalng/README.md

@@ -0,0 +1,26 @@
+# MinerU SGLang
+
+SGLang backend server:
+
+```bash
+docker compose --profile sglang-server up -d
+```
+
+Document parse API:
+
+```bash
+docker compose --profile api up -d
+```
+
+Gradio WebUI:
+
+```bash
+docker compose --profile gradio up -d
+```
+
+Test SGLang backend:
+
+```bash
+pip install mineru
+mineru -p demo.pdf -o ./output -b vlm-sglang-client -u http://localhost:30000
+```

src/mineru-sgalng/docker-compose.yaml

@@ -0,0 +1,90 @@
+x-default: &default
+  restart: unless-stopped
+  volumes:
+    - &localtime /etc/localtime:/etc/localtime:ro
+    - &timezone /etc/timezone:/etc/timezone:ro
+  logging:
+    driver: json-file
+    options:
+      max-size: 100m
+
+x-mineru-sglang: &mineru-sglang
+  <<: *default
+  image: ${MINERU_DOCKER_IMAGE:-alexsuntop/mineru-sglang:2.2.2}
+  environment:
+    MINERU_MODEL_SOURCE: local
+  ulimits:
+    memlock: -1
+    stack: 67108864
+  ipc: host
+  deploy:
+    resources:
+      limits:
+        cpus: '8.0'
+        memory: 4G
+      reservations:
+        cpus: '1.0'
+        memory: 2G
+        devices:
+          - driver: nvidia
+            device_ids: [ '0' ]
+            capabilities: [ gpu ]
+
+services:
+  mineru-sglang-server:
+    <<: *mineru-sglang
+    profiles: ["sglang-server"]
+    ports:
+      - ${MINERU_PORT_OVERRIDE_SGLANG:-30000}:30000
+    entrypoint: mineru-sglang-server
+    command:
+      - --host 0.0.0.0
+      - --port 30000
+
+      # If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode.
+      # - --data-parallel-size 2
+      # If running on a single GPU and encountering VRAM shortage, reduce the KV cache size by this parameter,
+      # if VRAM issues persist, try lowering it further to `0.4` or below.
+      # - --gpu-memory-utilization 0.5
+
+    healthcheck:
+      test: ["CMD-SHELL", "curl -f http://localhost:30000/health || exit 1"]
+
+  mineru-api:
+    <<: *mineru-sglang
+    profiles: ["api"]
+    ports:
+      - ${MINERU_PORT_OVERRIDE_API:-8000}:8000
+    entrypoint: mineru-api
+    command:
+      - --host 0.0.0.0
+      - --port 8000
+
+      # If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode.
+      # - --data-parallel-size 2
+      # If running on a single GPU and encountering VRAM shortage, reduce the KV cache size by this parameter,
+      # if VRAM issues persist, try lowering it further to `0.4` or below.
+      # - --gpu-memory-utilization 0.5
+
+  mineru-gradio:
+    <<: *mineru-sglang
+    profiles: ["gradio"]
+    ports:
+      - ${MINERU_PORT_OVERRIDE_GRADIO:-7860}:7860
+    entrypoint: mineru-gradio
+    command:
+      - --server-name 0.0.0.0
+      - --server-port 7860
+
+      # Enable the vllm engine for Gradio
+      - --enable-vllm-engine true
+      # If you want to disable the API, set this to false
+      # - --enable-api false
+      # If you want to limit the number of pages for conversion, set this to a specific number
+      # - --max-convert-pages 20
+
+      # If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode.
+      # - --data-parallel-size 2
+      # If running on a single GPU and encountering VRAM shortage, reduce the KV cache size by this parameter,
+      # if VRAM issues persist, try lowering it further to `0.4` or below.
+      # - --gpu-memory-utilization 0.5

src/mineru-v2/docker-compose.yaml

@@ -23,7 +23,7 @@ x-mineru-vllm: &mineru-vllm
         cpus: '8.0'
         memory: 4G
       reservations:
-        cpus: '2.0'
+        cpus: '1.0'
         memory: 2G
         devices:
           - driver: nvidia