Or am I forced to do a get, check if the latest version is fainallyzed,
Dataset Must be finalized before using it. The only situation where it is not is because you are still in the "upload" state.
, then increment de version of that version and create my new version ?
I'm assuming there is a data processing pipeline pushing new data?! How do you know you have new data to push?
I would like instead of having to:
Fetch latest dataset to get the current latest version Increment the version number Create and upload a new version of the datasetTo be able to:
Select a dataset project by name Create a new version of the dataset by choosing what increment in SEMVER standard I would like to add for this version number (major/minor/patch) and upload
And by extension is there a way to upsert a dataset by automatically creating an entry wich a incremented version or create it if it does not exists ? Or am I forced to do a get, check if the latest version is fainallyzed, then increment de version of that version and create my new version ?
AgitatedDove14 I have annotation logs from the end-user that I fetch periodically, I process it and I want to add it as a new version of my dataset where all versions correspond to the data collected during a precise time window, currently I'm doing it by fetching the latest dataset, incrementing the versionmm and creating a new dataset version
currently I'm doing it by fetching the latest dataset, incrementing the version and creating a new dataset version
This seems like a very good approach, how would you improve ?
Hi FierceHamster54
Sure just dodataset = Dataset.get(dataset_project="project", dataset_name="name")
This will by default fetch the latest version
Create a new version of the dataset by choosing what increment in SEMVER standard I would like to add for this version number (major/minor/patch) and uploadOh this is already there
` cur_ds = Dataset.get(dataset_project="project", dataset_name="name")
if version is not given it will auto increase based on semantic versions incrementing the last number 1.2.3 -> 1.2.4
new_ds = Dataset.create(dataset_project="project", dataset_name="name", parents=[cur_ds.id]) `
Hi AgitatedDove14 , is the Dataset.get
will take all child too?