Update release stats about idr.openmicroscopy.org

[manics]

In addition we have a spreadsheet which is almost but not quite the same format as these tsv files. It'd be good to make sure the solution here is also correct for the spreadsheet (or maybe we can get rid of it?)

[joshmoore]

What does 44 of 54 sets mean?

Part of this is the split between "Plates" and "Datasets". I also often have to figure it out by context. Happy to have the output format from the script be made more explicit.

What is Bytes, does that have to be used for Size (TB) and Size?

Bytes from stats.py was my first attempt at a size via SQL. It was pointed out that 1) my query was wrong and 2) it doesn't match what fs usage was providing. Best option is likely to remove it.

What about this size?

Size in TB is just an easier to read version of Size

And is the 25 files the # of Files?

Yes.

And how to get Targets?

This is a difficult one, and likely since Eleanor left hasn't been maintained or even defined.

But where to get Files (Million) from?

Again, this is just an easier to read version of Files.

And how to get DB Size (GB)?

I think we have some diversity here. I'd suggest select pg_database_size('idr') is the basis for most of the values.

In addition we have a spreadsheet which is almost but not quite the same format as these tsv files. It'd be good to make sure the solution here is also correct for the spreadsheet (or maybe we can get rid of it?)

👍 for having the solution work for both. I still use the spreadsheet, so until we have everything in one place I'd be 👎 for getting rid of it.

[sbesson]

A few additional comments,

• I think xxx of yyy computes the difference between the number of rows in the filepaths or plates tsv and the actual number of datasets/plates imported in the resource. I'd vote for keeping only the second value as it is the one we are reporting.
• re Bytes, as mentioned above stats.py returns an estimate of the pixel volume using an OMERO query (sum(sizeXsizeYsizeZsizeCsizeT*2) currently). The known caveats are the pixel type and resolution handling and it returns the bytes size of the fact is returns an uncompressed full-resolution 5D volume which likelyexplains the huge diff with the current value. I would stick to having Size reporting the file size on disk of the raw data imported into the resource i.e. the output of omero fs usage. Proposing to remove Bytes from stats.py to reduce the confusion. Maybe rename Size as Raw data size to be explicit?

Re Targets, this is a metric that is quite valuable but cannot simply be queried for the reasons described above as it requires some knowledge on the study itself. Given it has not been maintained for a while, happy to discuss removing it from the maintained stats format for now until we properly get back to it.

Re csv vs spreadhseet, I am pretty sure the headers were matching when I created the tsv files. If that's not the case, I am all for re-aligning it as it should work as cut-n-paste

Proposed actions:

• review and agree on the column names and definitions of studies.tsv/releases.tsv and the spreadsheet. Candidate to discuss: Targets, Size, Files anything else?
• review and adjust stats.py to produce an output matching the decisions above and which can be used directly and effectively for filling the studies rows in the TSV/spreadsheet. Can we include the output from omero fs usage and the average dimension calculation to the output? Can we simply generate the stats for one study (which might reduce the generation time(?
• do we need stats.py or another script to create releases.tsv from studies.tsv with the extra information (database size) ? or work from the spreadsheet?

[sbesson]

I think IDR/idr-utils#16 addresses most of the issues raised above related to studies.tsv.

For releases.tsv, I think most of the columns can be computed from the studies.tsv except for the release date and the database size. I am erring on the side of a separate small script that will do this calculation and take the additional values as input parameters. Or a subcommand of stats.py.