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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.
14 lines
614 B
Groovy
14 lines
614 B
Groovy
// Computes the parent item id and the title for the subfolder being created.
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// current_updir holds a relative path like "mon_dossier/1er Janvier 2024";
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// its parent is either the iteration root folder (single segment) or an
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// already-created subfolder whose id was stored under "upfid_<parent path>".
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def rel = vars.get("current_updir")
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def slash = rel.lastIndexOf("/")
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if (slash == -1) {
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vars.put("cdir_parent", vars.get("folder_id"))
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vars.put("cdir_title", rel)
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} else {
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vars.put("cdir_parent", vars.get("upfid_" + rel.substring(0, slash)))
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vars.put("cdir_title", rel.substring(slash + 1))
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}
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