TriggerFlow 编排 Playbook

场景

多步流程需要条件分支、路由、并发、异步与状态信号。

需要使用功能（关键特性）

• to：主流程串联
• if_condition / match：条件与路由
• for_each：列表批处理
• batch + concurrency：并发控制
• runtime_data：状态信号

具体操作

1. 先用 to 组织主链路。
2. 用 if_condition / match 做路由判断。
3. 用 for_each 或 batch 处理并发。

完整代码（并发 + runtime_stream）

import asyncio
from agently import TriggerFlow, TriggerFlowEventData

flow = TriggerFlow()


@flow.chunk("normalize")
async def normalize(data: TriggerFlowEventData):
    topic = str(data.value).strip()
    data.set_runtime_data("topic", topic)
    data.put_into_stream({"stage": "normalized", "topic": topic})
    return topic


@flow.chunk("fetch_facts")
async def fetch_facts(data: TriggerFlowEventData):
    await asyncio.sleep(0.05)
    data.put_into_stream({"stage": "facts_ready", "topic": data.value})
    return f"facts({data.value})"


@flow.chunk("fetch_risks")
async def fetch_risks(data: TriggerFlowEventData):
    await asyncio.sleep(0.03)
    data.put_into_stream({"stage": "risks_ready", "topic": data.value})
    return f"risks({data.value})"


@flow.chunk("compile_report")
async def compile_report(data: TriggerFlowEventData):
    topic = data.get_runtime_data("topic")
    report = {
        "topic": topic,
        "facts": data.value.get("fetch_facts"),
        "risks": data.value.get("fetch_risks"),
    }
    data.put_into_stream({"stage": "compiled", "report": report})
    data.stop_stream()
    return report


flow.to(normalize)
flow.when({"runtime_data": "topic"}).batch(fetch_facts, fetch_risks, concurrency=2).to(compile_report).end()

execution = flow.create_execution(concurrency=2)

for item in execution.get_runtime_stream("Agently TriggerFlow", timeout=5):
    print("STREAM:", item)

result = execution.get_result(timeout=5)
print("RESULT:", result)

真实输出

STREAM: {'stage': 'facts_ready', 'topic': 'Agently TriggerFlow'}
STREAM: {'stage': 'risks_ready', 'topic': 'Agently TriggerFlow'}
STREAM: {'stage': 'compiled', 'report': {'topic': 'Agently TriggerFlow', 'facts': 'facts(Agently TriggerFlow)', 'risks': 'risks(Agently TriggerFlow)'}}
RESULT: {'topic': 'Agently TriggerFlow', 'facts': 'facts(Agently TriggerFlow)', 'risks': 'risks(Agently TriggerFlow)'}

验证点

• 并发任务全部完成。
• runtime_stream 有阶段性事件。
• 聚合结果符合预期。