Closed aaronsteers closed 4 months ago
Hello @aaronsteers, Please give it to me, I wanted to work on it
Hello @puru-khedre do you need any help?
Hello 👋 @marcosmarxm, I don't understand what to do in this
@puru-khedre the idea is to see if you are able to run a sync using the source-airtable
using PyAirbyte. If when you try get any error the idea is to report them here.
Hi @puru-khedre and @marcosmarxm I was reading a bit about this issue, and I think I can work on it, I currently work on a daily basis with Airtable datasets and Airtable API, could I take it or collaborate on this issue?
@puru-khedre let's @fvgm-spec work on this and select another one issue.
@fvgm-spec all yours
I have followed these steps to debug syncing data stored in Airtable using the source-airtable
PyAirbyte connector:
personal_access_token
, refresh_token
, client_id
and client_secret
, but still getting a syncing error:Authentication succeeds with Airbyte OOS
Hi @marcosmarxm @aaronsteers please let me know if you'd need further debugging/research on this issue. Regards.
@fvgm-spec - Do I correctly understand (in summary) that auth or config is still not working as expected when run via PyAirbyte? From the error log above, it looks like we might need an auth_method
key within the credentials
dictionary expression here:
If you have not already, could you try that and let us know if the source is able to authenticate?
From what I can see from the above, other users have probably run into the same challenges in configuring the source with OAuth. It looks like you've tackled the hard part of getting OAuth secrets using localhost redirects. Hoping that the rest is just config nuance. 🤞
Hi @aaronsteers , yes the source is authenticating successfully, please let me know if you need further details:
Hi @aaronsteers , yes the source is authenticating successfully, please let me know if you need further details:
From this image it doesn't look the source is working with PyAirbyte. Can you check again @fvgm-spec
Summary
The Airtable source is having issues when run in PyAirbyte. The goal is to replicate and document any observed issues and then propose a fix.
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