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RESOURCE_BINDING_LEDGER_2026 05 04

TheDaniel166 edited this page May 18, 2026 · 1 revision

Resource Binding Validation Ledger

1. Audit Context

  • Target Subsystems: moira.spk_reader, moira.planets (Kernel Interaction)
  • Objective: Prove the sovereign engine maintains absolute re-entrancy, thread isolation, and memory discipline under extreme load.
  • Audit Date: 2026-05-04

2. In-Depth Audit Findings

A. Kernel Re-entrancy & Thread Safety

The ephemeris kernel logic was stress-tested with 10,000 parallel queries across 20 concurrent threads.

  • Identical Inputs → Identical Outputs: Verified. 100 random (Body, JD) pairs were executed 10 times each across multiple threads simultaneously. Every result was bit-for-bit identical to its counterparts, proving the planet_at -> SpkReader pipeline is stateless and re-entrant.
  • No Cross-Thread Contamination: Verified. Parallel execution of random bodies and epochs did not result in any segmentation faults, corrupted data vessels, or trace failures.
  • Handle Isolation: Verified. Multiple SpkReader instances pointing to the same physical kernel file were found to operate in total isolation. Closing one handle did not affect the operational status or output of the other.

B. Memory Discipline

Memory footprint was monitored using tracemalloc during the 10,000-query burst.

  • Initial Memory: 0.14 MB
  • Final Memory (after 10,000 queries): 0.30 MB
  • Net Growth: 163 KB (Negligible)
  • Leak Assessment: PASSED. The minimal growth is consistent with standard Python overhead (module caching, internal string interning). No growth was observed in the resident memory of the kernel-reader segments themselves.

C. Kernel Handle Reuse

Moira's singleton management in spk_reader.py correctly serializes reader acquisition. The audit confirmed that the module-level RLock prevents race conditions during lazy initialization while allowing full concurrent read performance once the handle is bound.

3. Validation Summary

  • Test Suite: tests/stress/test_resource_binding_audit.py
  • Outcome: PASSED.
  • Conclusion: Moira is a high-performance, thread-safe sovereign engine that does not bleed truth or resources under pressure.

4. Unresolved Risks & Future Work

  • Multi-Kernel Pool Contention: While single-kernel SpkReader is verified, the KernelPool fallback logic (which iterates through multiple readers) has not yet been stress-tested for similar concurrency patterns.
  • ContextVar Overrides: The use_reader_override mechanism (using ContextVar) is architecturally sound for async re-entrancy but was not explicitly fired during this synchronous thread-pool audit.

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