GitLab collection throughput: qualify complete large-project generations under a shared budget
Maintainers usually reply within 9 days
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 35/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Active
- Tech stack
- python
- Domain
- devtools, performance
Research direction
Start by reading the GitLab collection path behind the existing-login CLI bridge and the handling for PARTIAL with REQUEST_OR_TIME_CAP; the issue does not name specific files or tests. Measure native HTTP and CLI bridge overhead, then investigate safe session reuse or batching under the shared request and deadline budget. Done means complete pagination and repeated generations are qualified on a large external project, recovery from caps is checked, and incomplete coverage and approval or merge evidence remain explicit.
Written by the indexing model from the issue text.
Description
A bounded external GitLab probe using the existing-login CLI bridge reached its 300-second budget after 129 requests and admitted 18 detailed MR records. Collection correctly returned PARTIAL with REQUEST_OR_TIME_CAP, but a complete large-project generation is too slow for practical shared intake.
The consumer can now explicitly select registered implementations or named changes. This is a scoped inventory and must not be presented as the complete open backlog.
Follow-up acceptance:
- Measure native HTTP versus CLI bridge overhead without exporting credentials.
- Reuse a safe session or batch independent reads with one shared request/deadline budget.
- Preserve endpoint/credential cache partitioning, per-object head-race checks and explicit incomplete coverage.
- Qualify complete pagination on a large external project, repeated generations and recovery after rate/time caps.
- Never trade unknown approval/merge evidence for throughput.
This is a performance/adoption debt, not a correctness exception to the PARTIAL result.
- Dominant language
- Python
- Stars
- 4
- Forks
- 1
- Avg merge
- 5d 12h
- Merged PRs (30d)
- 3
Getting set up
- No Dockerfile or Docker Compose file
- No pull request template
- Read the contributing guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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