Hi @<1547028131527790592:profile|PleasantOtter67> , nothing out of the box. You can however quite easily extract all that information and inject it into a csv programmatically.
I think the bigger question is how would you break it down? Each experiment has several nested properties.
I think the call tasks.get_all
should have you covered to extract all information you would need.
None
The request body should look something like this:
{
"id": [],
"scroll_id": "b77a32d585604b098f685b00f30ba2c2",
"refresh_scroll": true,
"size": 15,
"order_by": [
"-last_update"
],
"type": [
"__$not",
"annotation_manual",
"__$not",
"annotation",
"__$not",
"dataset_import"
],
"user": [],
"system_tags": [
"__$and",
"__$not",
"archived"
],
"include_subprojects": true,
"search_hidden": true,
"only_fields": [
"name",
"status",
"system_tags",
"project",
"company",
"last_change",
"started",
"last_iteration",
"tags",
"user.name",
"runtime.progress",
"type",
"project.name",
"last_update",
"parent.name",
"parent.project.id",
"parent.project.name"
]
}
Tip: Anything that you want to extract from the UI, you can use the API. To find the relevant call you can always open developer tools (F12) and see what returns
Hi @<1523701070390366208:profile|CostlyOstrich36> ,
I need it the most "dry" way (only basic columns of strings, ints and floats), no fancy tags are required.
Or you're thinking only of the current view as it is?
OK, I ended up extracting it from the browser source code with good old copy-paste.
However, I'm definitely need to use the API next time!
Thanks!!!