Closed olinux closed 2 years ago
For your info if relevant, I create ingestion at the level of TSC. We couple the TSC files to the service links via the file bundles. This implicate that one dataset in the KG has several swift buckets linked to it, one for each TSC and service link.
I would certainly think it would have to be
a derived data set of the originally processed data
I should mention that while it does produce many hundreds/thousands of files, with respect to a specific contentType
(e.g. deep zoom image
or neuroglancer precomputed format
), only 1 URL is relevant.
TSC
apologies, what's TSC?
Sorry :) Tissue sample collection
@apdavison would it be an option to use a computational schema to link a "fileRepository" to the process (and the research product version) similar to "visualization"?
Maybe we could call it "conversion" and let it register a "fileRepository", "fileBundle" or "file" as input and a (non-indexed) "fileRepository" containing a specific content-type (as Xiao has mentioned above) as output. We might also want to register the service/softwareAgent which executes the process (in our case "ImageService")?
(discussed with @lzehl )
My memory is that this was one of the main original use cases for the FileBundle concept.
@olinux The current computation schemas all allow File and FileBundle as outputs, but not at the moment FileRepository. Semantically it makes more sense to think of a computation creating a FileBundle. I think it's a good idea to use the computation schemas to keep track of this. I'll create a new Computation sub-type (maybe "FormatConversion", or more generically "PreProcessing"?) and make a PR.
@apdavison sounds good. could we specify a fileRepository as output though (as well) for this specific schema? Reason: fileBundles can only be registered as part of an existing fileRepository. services such as the image service produce data that should not be registered in a dataset(version) and would therefore need to specify their fileRepository directly.
@lzehl I would suggest to have the FileBundle as output, and also create a new FileRepository to which it is linked through the "is_part_of" property
@apdavison could you elaborate why? for the image service this would be an overhead as far as I understood. they are going to create file repos per computation so the file bundles would equal the file repos .
@lzehl are the file repos (CSCS Swift containers I guess?) created automatically by the image service, or are they created manually beforehand?
@apdavison as far as I understood they are created automatically. @olinux @Majpuc correct?
ok, so in that case having FileRepository as an output would be an accurate representation.
I think it comes down to whether this is a rare edge-case (the vast majority of computational processes in EBRAINS do not produce repositories) or not.
If it's a very rare case, the costs of having to handle more complex schemas in the UI might outweigh the small overhead of having to resolve the "is_part_of" link.
On balance, I'm happy with either solution.
Regarding the chunk containers. They are created automatically. Until recently cscs public containers connected to an icei project belonging to Marc’s team but after a change in the image service are now collaboratory buckets accessible through the data proxy api. I have collected all metadata connecting the containers ID and their corresponding datasets.
@olinux could you comment on @apdavison remark. I think he has a point, but I'm not sure what is less overhead:
Although I do agree with @apdavison that from a conceptional point, it's better to have a FileBundle as an output, the key problem is that a "FileBundle" doesn't have its own IRI.
Here, we're talking about a FileBundle which explicitly is not supposed to have any relations to files (since we're not going to index them). This leaves the interpretation to the client which would need to know that "if I have a FileBundle of type X without link to any files, I have to implicitly assume that the source is the full repository". This is a lot of implicit model knowledge which we push on the client. If we would use the FileRepository (although it's an edge case), the granularity would be clear.
@olinux what about combining this issue in some way with #257 ?
Suggestion:
FileArchive properties:
The format (contentType) OR archiveType needs to make clear what we are looking at. ZIP etc are proper archive/container formats which have classical contentTypes. A CSCS container of the image service is not really a classical archive/container format, but needs to "just" tagged to be treated as such (meaning no indexation of the contained files).
@apdavison @dickscheid @Majpuc would that fit the needs for now? @olinux do we need to make an explicit relation to an indexed File for, e.g., an indexed zip of a dataset? or is the IRI enough? could that crash because file IRIs are being used as instance identifiers in the KG?
More detailed properties can be added at a later point in time as well of course. For example optional navigation instructions for the files contained in the archive.
This sounds as a nice solution. For info, concerning Image service generated chunks, the archives types are both CSCS classical containers and collab buckets. The format is .dzi and .png (see example here: https://wiki.ebrains.eu/bin/view/Collabs/img-d6a8e5ab-eba3-4799-8787-c0e858df8515/Bucket) or neuroglancer files (https://wiki.ebrains.eu/bin/view/Collabs/ng-chunks/Bucket). We need to keep the file structure and formats as the viewers and tools need to be able to read those files (no zipping possible).
@Majpuc thanks for the feedback and the additional information. Let's wait for the feedback of the others (@olinux, @apdavison , @dickscheid).
Hi @lzehl , I think it's a good idea to not overload the "file repository" with multiple meanings and therefore support the suggestion to have a new "FileArchive". The way I understand #257 is meant would be different though since it asks for being able to reference files inside the archive.
We had another idea which is immediately compatible with everything we already have: Why don't we specify a new file format (with a unique content type) (formatted e.g. in JSON) containing all the information needed to interpret such a container (maybe there are other parameters than just the IRI)? The image service could generate this file, add it to the file repository of the original dataset (so this "intermediate file" becomes part of the dataset and therefore is properly linked to it) and flag it with the right content type.
On the interpretation side, all a client (such as the 3d viewers) has to do is to look up the KG for this content-type, read in the file and interpret the well-structured information.
I could already see other use-cases we could support with such an approach whilst keeping the metadata-structure stable.
@olinux not sure what you mean. Let's discuss this in person. But already before:
FileArchive properties:
Storing something with the data that were already released (for example) is not a good option (because it changes the data content which received already a DOI).
The linkage between Dataset and ImageService Container should be done through the service Link which we need to extend in a minimal way by adding a porperty "sourceData"
Report of in-person meeting between @olinux , @xgui3783 , @alexisdurieux , @marcnm :
We are going to setup a FileArchive schema with the following properties:
The ServiceLink schema will be updated:
We will need at least two ContentTypes for the EBRAINS image service: ebrains-image-service.neuroglancer & ebrains-image-service.microsoft-deep-zoom (@apdavison @jagru20 would that be correct? better ideas?)
@xgui3783 what does DCI stand for?
Further action points for EBRAINS: Adding at least one FileArchive instance to the KG as proof of concept (best one for a dataset version where the service connected though the service link actually uses the data in the FileArchive).
Outlook: On the long run the EBRAINS image service could consider automatic registration of the whole provenance producing the FileArchives using the openMINDS_computation extension.
@apdavison & @dickscheid FYI
Hi guys, not DCI. It is DZI.
@Majpuc :grin: thanks and what is the full name?
Deep zoom image. https://openseadragon.github.io/examples/tilesource-dzi/
thanks; not sure if I have all information needed here though.... the format of the single files is DZI but is the central service that can ingest the respective image service microsoft-deep-zoom ???
No, for ingestion of images we have input formats and output (chunk)formats. I will add you to the collab where some of this is described.
@Majpuc thanks but that is not what I mean.
who is using the dzi files that are created by the image-service?
DZI chunk format is used for all 2D image data, both viewers (Localizoom and Multi-image OSd viewer) and tools ( WebAlign and Scaler service)
solved in #325
The result of the EBRAINS image service is a SWIFT bucket with multiple hundred thousands of files. We wouldn't want to index all of them in openMINDS as individual files since the structure is interpreted as a whole by the clients anyhow. With the current specifications, we could think of specifying it as a "file repository" and specifying the correct "ContentType" (what would this be for this case?) for making it identifiable for the clients for correct interpretation. However, the question remains if this has to be registered as a derived data set of the originally processed data or (if we integrate it into the original dataset), we would require an additional possibility to link it (since it would be a different semantic relation than "fileRepository" of the RPV).
What are your thoughts @lzehl ?
FYI: @xgui3783 @majpuc