Add comprehensive code review for VADASE RT and ingestion pipeline - #1
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Review covers: - VADASE RT Service architecture (Hexagonal), parser, physics engine, adapters - Ingestion Pipeline implementation status vs plan - Critical bugs identified: duplicate disp_up integration, schema mismatch - Recommendations prioritized by severity https://claude.ai/code/session_01K22ae4Xxt7QCcLiZZQrxFH
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Jul 1, 2026
Close two R740 orchestrator gaps found in NAMRIA training (readiness P0 #1): - gap #1 (vacuous pass): the validator ran on the campaign RAW/, which is empty until RNX_COP stages data INSIDE the BPE -> 0 stations parsed -> report.ok was vacuously True. Add rinex_source_dir (= $D/$V_RNXDIR) so pre-flight reads RINEX where it actually lives before the run, and a no_rinex_found guard (require_stations) so an empty/wrong source fails loudly instead of passing. - gap #12 (per-session): a DATAPOOL source holds all DOYs; an intermittent station (PLG2, present only some days) must be validated against the session being processed. Add year/session filtering by DOY across RINEX2/RINEX3/RXO names. Session filtering + the guard apply only on the source-dir path; the legacy RAW/ path is unchanged (backward compatible). 65 tests pass, ruff+mypy clean.
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Summary
This PR adds a detailed code review document (
CODE_REVIEW_VADASE_INGESTION.md) covering two major deliverables: the VADASE RT Service (real-time earthquake detection system) and the Ingestion Pipeline (RINEX data processing).Key Findings
VADASE RT Service - Architecture: Excellent, Implementation: Good
processor.pycausing double-integration of vertical displacementwrite_event_detection()is unimplemented (TODO stub)Ingestion Pipeline - Planning: Excellent, Implementation: Stub Only
Detailed Assessment
The review includes:
Recommendations Priority
Critical (Must Fix):
disp_upintegration in processor.pywrite_event_detection()methodHigh Priority (Should Do):
Next Steps for Ingestion Pipeline:
Files Reviewed
VADASE RT Service: 13 files including parsers, domain logic, adapters, database writer, and configuration
Ingestion Pipeline: 3 files (Celery config, tasks, implementation plan)
Shared: RINEX QC module (properly implemented)
https://claude.ai/code/session_01K22ae4Xxt7QCcLiZZQrxFH