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File sensor agent example ‚Äč

This example shows how to use the FileSensor to detect files appearing in your local or remote filesystem.

python

# First, import the required libraries.
from flytekit import task, workflow
from flytekit.sensor.file_sensor import FileSensor

# Next, create a FileSensor task.

sensor = FileSensor(name="test_file_sensor")

# To use the FileSensor created in the previous step, you must specify the path parameter. In the sandbox, you can use the S3 path.


@task()
def t1():
    print("SUCCEEDED")


@workflow()
def wf():
    sensor(path="s3://my-s3-bucket/file.txt") >> t1()


if __name__ == "__main__":
    wf()

# You can also use the S3 or GCS file system.
# We have already set the minio credentials in the agent by default. If you test the sandbox example locally, you will need to set the AWS credentials in your environment variables:
#
# ```{prompt} bash
# export FLYTE_AWS_ENDPOINT="http://localhost:30002"
# export FLYTE_AWS_ACCESS_KEY_ID="minio"
# export FLYTE_AWS_SECRET_ACCESS_KEY="miniostorage"
# ```