Xarray tutorial with custom SSL cert?

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Assessment

Difficulty
3/5
Estimated time
1-2 days
Newbie friendliness
25/100
Issue type
Documentation
Clarity
Needs clarification
Activity status
Stale
Tech stack
python
Domain
documentation

Research direction

Start with the xarray.tutorial.open_dataset("air_temperature") entry point and the linked urllib3 custom SSL context documentation. Determine whether the tutorial exposes a supported way to use the reported .pem certificate, and document the applicable workaround or limitation so the example works or its requirements are clear.

Written by the indexing model from the issue text.

Description

bug

I'm on a secure NATO system with a custom SSL cert and when I try to load some xarray tutorial data:

import xarray as xr
ds = xr.tutorial.open_dataset("air_temperature").isel(time=slice(0, 100))

I get back:

---------------------------------------------------------------------------
SSLCertVerificationError                  Traceback (most recent call last)
File ~/miniforge3/envs/pangeo/lib/python3.10/site-packages/urllib3/connectionpool.py:703, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)
    702 # Make the request on the httplib connection object.
--> 703 httplib_response = self._make_request(
    704     conn,

With other packages I can set an environment variable to point to the custom .pem, like:

os.environ['AWS_CA_BUNDLE']='/home/shared/PA-RootCA-Cert-2023-Pub.pem'    # s3
os.environ['REQUESTS_CA_BUNDLE']='/home/shared/PA-RootCA-Cert-2023-Pub.pem'  # requests

but there doesn't seem to be such an environment variable for urllib3?

I see this info in the urlib3 docs about custom SSL, but I'm not sure how I could pass this custom context to the xr.tutorial.open_dataset command.

Does anyone know how to overcome this issue?

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