Check a trace export before you trust the dashboard
Your goal
Find the 2 planted defects in dirty/traces/spans.jsonl and flag every affected line or missing record in findings.jsonl.
- Stage 6
- 2 defects
- 552 KB of data
- FromTracing agents with OpenTelemetry
- Carevia Health
Pro lab
This lab is in Pro.
The brief, the hints, and grading against the kit’s scorer are in Pro. Stage 1’s lab is free.
- Every stage and specialisation, in full
- Every lab and every role project
- Halden weeks 2–10, on your record
- Every drill, live in the playground
- All solutions, plus the server judge
- Lab Assistant and every Teach with AI
Defects to find
C10Spans whose parent is missing
41 missing records to name
C11Clock skew on one host
46 lines to find
How it’s graded
Precision ≥ 0.95 and recall ≥ 0.95, for each defect.
The bar: the bar the Kelverne capstone sets for every defect.
Here the client data (the estate: a fictional client’s files, with documented problems planted in them) is already generated, with the kit’s seed: your code reads the files under dirty/. Run tests and Submit both grade your findings with the kit’s score.py, scoped as the task’s command scopes it; only Submit goes on your record. The written parts of the task aren’t graded here; they’re for your notes or your reviewer.
Run tests calls find() and grades what it returns. Submit does the same and saves the result.
⌘/Ctrl+Enter runs the tests, add Shift to submit. First run downloads 552 KB of data.