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default-binder's Issues
Dask labextension does not work in latest images
Pasting the dashboard link into the Dask labextension dialog has no effect. It does not recognize the link, and none of the buttons become active. I have tried this on several recent
For example, here is a link for our classic example notebook using the latest commit of this repo (64d772a), which points to the latest pangeo-notebook docker image (c8c0d72).
What extra config are we missing to make the labextension work? It DOES work in https://us-central1-b.gcp.pangeo.io/, so something must be missing here. Something also must have changed since earlier versions, but I can't pinpoint the precise commit where things broke.
cc @scottyhq @TomAugspurger for any suggestions!
failing to start cluster using binder
When I run this notebook in the Pangeo default binder using
it fails to open a cluster and says:
GatewayClusterError: Cluster 'prod.e8cbb9497deb4771b8fcdcffb50c19fd' failed to start, see logs for more information
(full error below)
I will share the logs if someone can give me a pointer to where to find these.
The notebook runs successfully on us-central1-b.gcp.pangeo.io with the smallest server.
Thanks for any help on this.
from dask.distributed import Client
import dask_gateway
gateway = dask_gateway.Gateway()
cluster = gateway.new_cluster()
---------------------------------------------------------------------------
GatewayClusterError Traceback (most recent call last)
<ipython-input-2-de2b60f93eb6> in <module>
2 import dask_gateway
3 gateway = dask_gateway.Gateway()
----> 4 cluster = gateway.new_cluster()
/srv/conda/envs/notebook/lib/python3.7/site-packages/dask_gateway/client.py in new_cluster(self, cluster_options, shutdown_on_close, **kwargs)
641 cluster_options=cluster_options,
642 shutdown_on_close=shutdown_on_close,
--> 643 **kwargs,
644 )
645
/srv/conda/envs/notebook/lib/python3.7/site-packages/dask_gateway/client.py in __init__(self, address, proxy_address, public_address, auth, cluster_options, shutdown_on_close, asynchronous, loop, **kwargs)
816 shutdown_on_close=shutdown_on_close,
817 asynchronous=asynchronous,
--> 818 loop=loop,
819 )
820
/srv/conda/envs/notebook/lib/python3.7/site-packages/dask_gateway/client.py in _init_internal(self, address, proxy_address, public_address, auth, cluster_options, cluster_kwargs, shutdown_on_close, asynchronous, loop, name)
912 self.status = "starting"
913 if not self.asynchronous:
--> 914 self.gateway.sync(self._start_internal)
915
916 @property
/srv/conda/envs/notebook/lib/python3.7/site-packages/dask_gateway/client.py in sync(self, func, *args, **kwargs)
337 )
338 try:
--> 339 return future.result()
340 except BaseException:
341 future.cancel()
/srv/conda/envs/notebook/lib/python3.7/concurrent/futures/_base.py in result(self, timeout)
433 raise CancelledError()
434 elif self._state == FINISHED:
--> 435 return self.__get_result()
436 else:
437 raise TimeoutError()
/srv/conda/envs/notebook/lib/python3.7/concurrent/futures/_base.py in __get_result(self)
382 def __get_result(self):
383 if self._exception:
--> 384 raise self._exception
385 else:
386 return self._result
/srv/conda/envs/notebook/lib/python3.7/site-packages/dask_gateway/client.py in _start_internal(self)
926 self._start_task = asyncio.ensure_future(self._start_async())
927 try:
--> 928 await self._start_task
929 except BaseException:
930 # On exception, cleanup
/srv/conda/envs/notebook/lib/python3.7/site-packages/dask_gateway/client.py in _start_async(self)
944 # Connect to cluster
945 try:
--> 946 report = await self.gateway._wait_for_start(self.name)
947 except GatewayClusterError:
948 raise
/srv/conda/envs/notebook/lib/python3.7/site-packages/dask_gateway/client.py in _wait_for_start(self, cluster_name)
576 raise GatewayClusterError(
577 "Cluster %r failed to start, see logs for "
--> 578 "more information" % cluster_name
579 )
580 elif report.status is ClusterStatus.STOPPED:
GatewayClusterError: Cluster 'prod.e8cbb9497deb4771b8fcdcffb50c19fd' failed to start, see logs for more information
Auto layout jupyterlab workspace
In some setups (like dask-examples), we set up a jupyterlab workspace with the dask dashboard already open. Once a Client is created, the dashboard automatically lights up.
Do we want the same here?
I think it would involve copying a file like https://github.com/dask/dask-examples/blob/master/binder/jupyterlab-workspace.json and a start like https://github.com/dask/dask-examples/blob/master/binder/start.
@scottyhq this repo is using the pangeo/pangeo-notebook docker image. Can you confirm that if this repo had a binder/start, it wouldn't actually get executed? In order to do that we would need to change https://github.com/pangeo-data/pangeo-docker-images/tree/master/pangeo-notebook?
cc @cgentemann who raised this question in Gitter.
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