Chunk 13.0

In this chunk, the assistant tackled two major production bugs in the ProofShare system. First, a deadlock in `TaskRequestProofs` where `CreateWorkAsk` retried HTTP 429 responses indefinitely, blocking the poll loop from discovering matched work and inserting it into `proofshare_queue`. The fix made `CreateWorkAsk` return a sentinel `ErrTooManyRequests` immediately on 429, allowing the poll loop to continue, with progress-based exponential backoff to avoid hammering the service. Additionally, the assistant scoped the dedup SELECT to only non-submitted rows, changed orphan cleanup from DELETE to UPDATE to preserve fetched work, and added a routine to purge completed rows older than two days. The Curio binary was rebuilt inside the Docker CUDA environment and deployed to the remote vast host. Second, the user reported that even after deploying the container-built cuzk binary (which passed benchmarks), all ten PoRep partitions were still producing invalid proofs. The assistant traced the issue to a job ID collision: proofshare challenges all target the same miner=1000, sector=1, so concurrent tasks sent identical `job_id` values to cuzk. The engine's partition assembler keyed on `job_id`, causing partition results from different proofs to mix—confirmed by a `"partition 0 already inserted"` panic. The fix added the harmony task ID to the RequestId, making it unique per invocation. A second Curio rebuild and deployment followed, though initial verification showed the old format still appearing in logs, suggesting the need to confirm the binary actually contained the change. The overarching themes are the complexity of debugging distributed proving systems where multiple components (Go Curio, Rust cuzk, GPU supraseal) interact, the critical importance of unique job identifiers in concurrent pipelines, and the iterative Docker build/deploy workflow required to patch production GPU workers without full image rebuilds. The assistant demonstrated systematic root cause analysis—ruling out data formats, enum mappings, and GPU flakiness before identifying the simple key collision—and delivered targeted fixes that break deadlocks and ensure proof isolation.

Two Bugs, One Pipeline: Debugging a Distributed Proving System's Deadlock and Job ID Collision 2585 words

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