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I've been happily using the dlt-with-debug library, but I'm running into an issue when importing the dlt signatures without an active SparkSession. I'm trying:
import dlt_with_debug.dlt_signatures as dlt
But the __init__.py calls the v2.py file which in turn tries to get the pipeline_id from the current SparkSession. But this fails when there is no active SparkSession.
I think my usecase can be achieved with an extra check in
I've been happily using the
dlt-with-debug
library, but I'm running into an issue when importing the dlt signatures without an active SparkSession. I'm trying:But the
__init__.py
calls thev2.py
file which in turn tries to get thepipeline_id
from the current SparkSession. But this fails when there is no active SparkSession.I think my usecase can be achieved with an extra check in
dlt-with-debug/dlt_with_debug/v2.py
Line 8 in db7f9b3
.conf.get()
on it.@souvik-databricks curious what you think! And I'd be happy to contribute via PR
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