forked from deepmodeling/dflow
-
Notifications
You must be signed in to change notification settings - Fork 0
/
test_dag.py
32 lines (29 loc) · 1.35 KB
/
test_dag.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
from dflow import (InputArtifact, InputParameter, OutputArtifact,
OutputParameter, ShellOPTemplate, Task, Workflow)
if __name__ == "__main__":
hello = ShellOPTemplate(
name='Hello',
image="alpine:latest",
script="echo Hello > /tmp/bar.txt && echo 1 > /tmp/result.txt")
hello.outputs.parameters = {"msg": OutputParameter(
value_from_path="/tmp/result.txt")}
hello.outputs.artifacts = {"bar": OutputArtifact(path="/tmp/bar.txt")}
duplicate = ShellOPTemplate(
name='Duplicate',
image="alpine:latest",
script="cat /tmp/foo.txt /tmp/foo.txt > /tmp/bar.txt && "
"echo $(({{inputs.parameters.msg}}*2)) > /tmp/result.txt")
duplicate.inputs.parameters = {"msg": InputParameter()}
duplicate.outputs.parameters = {"msg": OutputParameter(
value_from_path="/tmp/result.txt")}
duplicate.inputs.artifacts = {"foo": InputArtifact(path="/tmp/foo.txt")}
duplicate.outputs.artifacts = {"bar": OutputArtifact(path="/tmp/bar.txt")}
wf = Workflow(name="dag")
hello0 = Task(name="hello0", template=hello)
wf.add(hello0)
hello1 = Task(name="hello1",
template=duplicate,
parameters={"msg": hello0.outputs.parameters["msg"]},
artifacts={"foo": hello0.outputs.artifacts["bar"]})
wf.add(hello1)
wf.submit()