Closed gkiar closed 7 years ago
@gkiar Can you please specify which branch is this? Or which server deployment are you working on?
Sorry, it is written within my code and info urls, so I didn't think to specify it. I'm running this on openconnecto.me
Okay. Yes, this is the old autoingest process in which it creates all the project metadata(dataset, project, channel and token) for you. You need not use the project management console. If you did create the console and want to ingest more data then ensure that the channel you are ingesting is not already created. In your case, the error info might be misleading, but I think what has happened is that the project schema has changed between these 2 projects, 0.6 to 0.7. Autoingest notices that and does not allow you to create something new in and old project schema.
An important point to note is that this process only works in the current branch on DSP29 and is antiquated. Nothing about this process is carried over into the new ingest process. Feel free to document this process but this is no longer active on cloud.neurodata.io. The new process utilizes config.json files which we briefly went over the other day and is based on ingest-client and required you to pre-create project metadata.
thanks kunal. the goal is to get @gkiar to be able to upload data to datascopes until the cloud is ready.
On Sat, Dec 17, 2016 at 1:25 AM, Kunal Lillaney notifications@github.com wrote:
An important point to note is that this process only works in the new branch and is antiquated. Nothing about this process is carried over into the new ingest process. Feel free to document this process but this is no longer active on cloud.neurodata.io. The new process utilizes config.json files which we briefly went over the other day and is based on ingest-client https://github.com/neurodata/ingest-client.
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@jovo It think the DSP's are working with auto-ingest. @gkiar Can you try creating a new project for the same dataset. It does not work for you because the project versions are different.
@kunal - agreed, i have no reason to think it is not currently working, we just need to learn how :)
On Sat, Dec 17, 2016 at 11:08 PM, Kunal Lillaney notifications@github.com wrote:
@jovo https://github.com/jovo It think the DSP's are working with auto-ingest. @gkiar https://github.com/gkiar Can you try creating a new project for the same dataset. It does not work for you because the project versions are different.
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-- the glass is all full: half water, half air. neurodata.io, jovo calendar https://calendar.google.com/calendar/embed?src=joshuav%40gmail.com&ctz=America/New_York starting in 2017, i will be responding to emails approximately weekly, so that i can focus more on the people around me. thank you for your understanding.
@kunallillaney if you check the jupyter notebook I linked to in my initial post, I have updated it to try a new project and token in the same dataset, and get the same error - no new project is created.
Okay. I will look into it on Monday/Tuesday.
@kunallillaney thank you! I appreciate it :)
Note: The link above has been updated as the file has moved. Thanks!
@gkiar This has been fixed when we have ailey running on the cloud. I will slack you the new node meant currently only for Ailey data.
Do we have any nodes that I can use for general ingest, or other people's data? I have some imunoflouresence data and more EM data that I want to ingest, as well.
-- Greg Kiar gkiar07@gmail.com
On Sat, Feb 4, 2017 at 9:31 AM, Kunal Lillaney notifications@github.com wrote:
@gkiar https://github.com/gkiar This has been fixed when we have ailey running on the cloud. I will slack you the new node meant currently only for Ailey data.
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@gkiar Replied in slack. Let's take this offline.
I created a dataset and project through the admin console, but would like to update my data via autoingest. However, despite all parameters being the same, I get an error that suggests they are not so my upload cannot be completed. If I change the dataset/project/token names, the ingest succeeds. I am using
ndio==v1.1.5
.As I mentioned, you can see in the above that the datasets are identical, but still autoingest is unable to proceed and states that
Thanks. G.
@jovo @perlman @Aeusman