forked from temporalio/samples-python
-
Notifications
You must be signed in to change notification settings - Fork 0
/
hello_cron.py
63 lines (48 loc) · 1.59 KB
/
hello_cron.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
import asyncio
from dataclasses import dataclass
from datetime import timedelta
from temporalio import activity, workflow
from temporalio.client import Client
from temporalio.worker import Worker
@dataclass
class ComposeGreetingInput:
greeting: str
name: str
@activity.defn
async def compose_greeting(input: ComposeGreetingInput) -> str:
return f"{input.greeting}, {input.name}!"
@workflow.defn
class GreetingWorkflow:
@workflow.run
async def run(self, name: str) -> None:
result = await workflow.execute_activity(
compose_greeting,
ComposeGreetingInput("Hello", name),
start_to_close_timeout=timedelta(seconds=10),
)
workflow.logger.info("Result: %s", result)
async def main():
# Start client
client = await Client.connect("localhost:7233")
# Run a worker for the workflow
async with Worker(
client,
task_queue="hello-cron-task-queue",
workflows=[GreetingWorkflow],
activities=[compose_greeting],
):
print("Running workflow once a minute")
# While the worker is running, use the client to start the workflow.
# Note, in many production setups, the client would be in a completely
# separate process from the worker.
await client.start_workflow(
GreetingWorkflow.run,
"World",
id="hello-cron-workflow-id",
task_queue="hello-cron-task-queue",
cron_schedule="* * * * *",
)
# Wait forever
await asyncio.Future()
if __name__ == "__main__":
asyncio.run(main())