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Nathan VasseandNicolas Clerc
9084163ed9
We need to measure backend response times and error codes from 100 up to 100k simultaneous users, on any instance. The scenario simulates a full user session (browse, recents, shared-with-me, folder creation, upload, trash, hard-delete) with randomized think times, using the e2e auth endpoint instead of the IDP, out of scope like the WOPI editors. Everything is property-driven (BASE_URL, USERS, USER_OFFSET...) so the same plan runs unchanged against any instance and across distributed injectors, each with its own USER_OFFSET to keep generated user emails globally unique. Uploads reproduce the frontend flow (item creation, presigned PUT to the object storage, upload-ended) and randomly pick a fixture entry; folder entries mirror the frontend folder upload by materializing the hierarchy before uploading each file into its parent.
4 lines
187 B
Groovy
4 lines
187 B
Groovy
// Stores the id of the subfolder just created so that its children (folders
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// and files) can reference it as parent.
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vars.put("upfid_" + vars.get("current_updir"), vars.get("cdir_id"))
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