Comments (2)
One way you can achieve this (if your data is stored in s3
) is by using the metaflow.s3
client to access your data within steps and passing pointers to the s3 location using the self
assignments across steps.
@step
def step_a(self):
with S3(s3root=self.path_to_data_in_s3) as s3:
res = s3.get('object')
...
url = s3.put('example_object', message)
self.path_to_example_url_in_s3 = url
...
Currenly, we store the artifacts so that you can replicate the state of your workflow at anytime in the future. Making artifacts transient will modify that behaviour.
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Closing this issue for now. Please comment and re-open for any follow-up.
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