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Add new built-in pipeline step “Transform Input” which does the item fields and facets mapping. This used to be done before in the dataloader.
Control whether item transformation happens during the extraction phase from the dataloader or inside a pipeline workflow from the “Transform Input” step using the configuration option
item_transformation_in_pipeline
. It is disabled by default, and should be considered experimental for this release.Modify the Ingester to move the input data to a
processed
directory after executing the pipeline. This behavior is controlled by the configuration optionkeep_processed_data
, which is disabled by default. Useful for re-running. Not recommended for production setup.Extend the Ingester to automatically remove the processed input data after a certain time period or disk space threshold. Controlled by the configuration options
days_to_retain_processed_batches
andhours_to_retain_processed_batches
. This mechanism kicks in when processed data are configured to be retained.Offer three Pipeline Workflow presets, a set of pre-made Pipeline Workflows with steps for covering various use cases.
Built-in steps have the possibility to use the
config_options
to render steps specific settings.Error when configuring source with pipeline steps that come from a DL plugin
Some steps which are already part of a workflow are missing values for certain properties
Pipelet implementing
getArguments()
is not rendered as 1st class widget -- throws error insteadPipeline Editor: Displaying issue with the config options of the Near-Duplicate Detection
"Pipeline editor: On using scroll arrows in the top left of the editor, the pipelines should scroll instead of jump
Pipeline Editor: Cannot delete workflow which was recently created and saved without reentering the editor
[Pipeline Editor] Step facet properties not being saved after changing value
"Pipeline editor - The link under Related in the left panel ""Add new Relate steps in the AI Studio"" links a user to the 'dashboards' space"
[Pipeline] Pipeline edit middle draggable section frontend implementation
Unable to rename step in pipeline workflow
[backend] Enable modification of pipeline step names
Ability to rerun whole pipeline for already processed data
Pre-populate pipeline with default steps
Enable triggering the rerunning of a pipeline workflow on the already processed raw data
Data loader frontend config - booleans break frontend when mappings.json provided
Data loader frontend config - Defaults don't show up
Minimal
Standard
Binary Document
We have added the functionality to rename all of the steps in pipeline workflow to your liking.
Pipelets which hint in their names that they perform Known Entity Extraction are categorized in the “Relate” section of the Pipeline Editor.
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Fonts are now downloaded from Salesforce instead of Squirro.
Styles no longer bleed from Squirro to Salesforce.
Fixed an issue where we were unable to open items.
Breaking Changes
With the introduction of the new pipeline editor, the navigation structure in the Setup space has changed. To make room for the new pipeline editor to use the full width, all the options that were previously under the Enrich tab have now moved to the new AI Studio tab. Rerunning of enrichments will soon disappear from there and then move into the new pipeline editor properly. As a result, any custom studio plugins under these sections have to be re-uploaded to either one of the existing sections or to a new section called “AI Studio”. This Can be achieved by specifying the
”location”: “dss”
in thestudio_plugin.json
file.Pipeline steps which are part of existing Pipeline workflows should continue function normally given that the included migration script was executed successfully. In case that something is not correct with an existing step of a workflow (e.g., no configuration options for a Pipelet when it should have), please remove the faulty step and add it again to the workflow. Then it should work as expected.Fresh Installation Instructions.
Please follow the regular installation steps
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