Chunk 9.1

This chunk focused on a critical data integrity fix and the investigation of a new operational failure. The user identified that the `bad_hosts` and `host_perf` systems were incorrectly keyed on `host_id` (the Vast.ai operator account) rather than `machine_id` (the specific physical machine), meaning a single bad benchmark or block could unfairly penalize an entire operator with diverse hardware. The assistant systematically refactored the entire codebase to use `machine_id` as the primary key, updating the database schema (with a migration for existing SQLite data), the backend handlers (offers search, monitor, bench-done), and the UI (ignore/unignore buttons, bad hosts panel, and performance badges). After deploying the refactored binary to the controller and verifying the system remained operational, a newly deployed instance (1x RTX PRO 4000) immediately failed its benchmark with 0 proofs/hour. The assistant investigated by checking the instance logs and the benchmark script, determining that the benchmark script itself had exited with an error rather than timing out. This set the stage for diagnosing whether the failure was a recurrence of the previously fixed port 1234 tunnel issue or a new problem within the standalone `cuzk-daemon` benchmark process. The themes of this chunk were ensuring precise data attribution in the performance tracking system, maintaining rigorous deployment discipline, and reacting swiftly to new operational incidents in the proving pipeline.

Precision Under Pressure: Data Integrity and Diagnostic Discipline in a Distributed GPU Proving System 2840 words

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