perf: parallelize Seqera calls and batch DB query

[vtnphan]

Pull Request

Summary

Optimise the job list endpoint to reduce dashboard load time.

Changes

• Parallel Seqera calls — list_jobs fans out all describe_workflow requests concurrently via asyncio.gather instead of awaiting each one in sequence. Load time drops from N × Seqera latency to roughly one round-trip.
• Single DB query for owned runs — replaces N+1 per-run get_owned_run calls with one batch query (get_owned_runs_by_run_id) returning a dict[run_id → WorkflowRun]. The now-unused get_owned_run_ids helper is removed.

How to Test

1. Open the job dashboard with several jobs — the list should appear in roughly the time of a single Seqera API call.
2. Run tests:

   .venv/bin/python -m pytest

Type of change

• Bug fix
• New feature
• Performance improvement
• Breaking change

Checklist

• Tests added/updated
• All tests pass locally

[amandazhuyilan]

Oh wow good improvement - lets ship this