MaaFramework

{
  "点击开始按钮": {
    "recognition": "OCR",
    "expected": "开始",
    "action": "Click",
    "next": ["点击确认图标"]
  },
  "点击确认图标": {
    "recognition": "TemplateMatch",
    "template": "确认.png",
    "action": "Click"
  }
}

# ========== Pipeline ==========
{
  "点击确认图标": {
    "next": ["自定义处理模块"]
  },
  "自定义处理模块": {
    "recognition": "Custom",
    "custom_recognition": "MyReco",
    "action": "Custom",
    "custom_action": "MyAct"
  }
}

# ======= Custom (Agent) =======
from maa.agent.agent_server import AgentServer

# 注册自定义识别器
@AgentServer.custom_recognition("MyReco")
class CustomReco:
    def analyze(ctx):
        return (10,10,100,100)

# 注册自定义动作
@AgentServer.custom_action("MyAct")
class CustomAction:
    def run(ctx):
        ctx.controller.post_click(100, 10).wait()
        ctx.override_next(["TaskA", "TaskB"])

AgentServer.start_up(sock_id)

def main():
    # 执行 JSON 预定义任务
    result = tasker.post_task("点击开始按钮").wait().get()
    
    if result.completed:
        # 执行代码级操作
        tasker.controller.post_click(100, 100)
    else:
        # 获取当前屏幕截图
        image = tasker.controller.cached_image
        # 注册自定义动作
        tasker.resource.register_custom_action("MyAction", MyAction())
        # 执行混合任务链
        tasker.post_task("点击确认图标").wait()