Storing and Organizing Data » History » Revision 32
Revision 31 (Tom Clegg, 05/07/2014 02:19 PM) → Revision 32/33 (Tom Clegg, 05/07/2014 02:27 PM)
h1. Storing and Organizing Data
Rough demo outline
# Automatic ingest from a POSIX directory to Keep
#* Ingestor's access to staging area (could be remote NFS or sshfs mount) is arranged ahead of time
#* 3rd-party's access to staging area is arranged ahead of time
#* Ingestor runs in a screen session. Command line parameters provide project (group/folder) ID and a tag that indicates "this is for *me* to ingest".
#* Someone ("3rd-party") uploads some files to the staging area via SFTP or whatever
#* 3rd-party does an API call to "ingest-notify app". This might be a short bash script culminating in a curl command. In the API call, the 3rd-party provides a label (e.g., a sample ID) and a list of files, checksums, and an arbitrary "properties" hash containing whatever the 3rd-party wants.
#* Ingest-notify app generates a "data in staging area is ready to ingest" event via API server.
#* Ingestor waits of a "data in staging area is ready to ingest" notification via API server.
#* Ingestor reads the data from the staging area and writes it into Keep (creates one collection per API call made by 3rd-party).
#* Ingestor (or arv-put on behalf of ingestor?) makes API calls while working, to indicate progress (bytes done/todo). @arvados.v1.logs.create(object_uuid=uuid_of_upload_object)@
#* In Workbench the imported Datasets appear as Collections in the designated project
#* After data has been copied into Keep, ingestor deletes the files from the staging area (if @--delete-after@ flag given).
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# My data gets into the right project as specified by the uploader (API call)
#* How is the staging-area ↔ project mapping specified, and how/where is it encoded/stored?
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# Subscribe to notifications (by email and/or Workbench dashboard): when files start/finish uploading; when files are shared with customer; when files are downloaded by third party
#* For now, use existing Logs table + automatic logging of create/update/delete operations + "progress" event from arv-put (see above)
#* "Show project" page shows recent activity: one progress bar for each unfinished upload, one entry for each start/finish event.
#* Dashboard page shows recent activity from all of my projects.
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# Move/copy collections between projects (Project RX1234, or Customer X’s files), tag them in destination project with the appropriate string (e.g., sample ID) -- defaulting to existing tag used in source project (e.g., provided at time of upload).
#* UI for presenting Groups as Projects/Folders: create, view, rename, share, delete
#* UI for copying/moving objects between folders
#* How to avoid confusion about "is this one object in two places, or are there two objects?" Note GDocs has a bit of both, "My Drive" / "Shared with me" vs. regular folders
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# Share project with other users/groups
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# “Anyone with this secret link can view/download” mode. Enable, disable, change magic link. Use cases: browser + “wget -r”.
#* Perhaps the secret in the secret link is an ApiClientAuthorization token, belonging to the person creating the link, scoped to a single project/collection
#* How do we implement "Anonymous user, not logged in"?
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# See log/overview of who has accessed your shared data (incl. “anonymous user” if using secret-link-to-share); when shared/unshared; when each upload started/finished -- for a single project, and across all projects
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# Pilot alternate Workbench group/dashboard view
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h2. Retrospective notes
* Went well - still some merge-race at the end
* Lots of branches going in
* Not a lot of merge conflicts
* Big spec change (rejecting "ingestor" story in favor of future "remote arv-put")
* Some in-sprint deployment dependency stuff (crunch+docker, websockets)
* Please tag commits with story numbers. Use Currently "refs #1234" for merges. (Use "refs #1234" for individual commits too?)
* Consider extracting a task into a story if it grows into its own thing (e.g., token handling as part of collection sharing)
* In sprint review, include 2 more agenda items: summary of things not done + high-level overview of next sprint works well because redmine understands it.