Phase 2 ships the JOIN script that turns 12 source JSONL streams
into unified data/evidence/YYYY/MM/DD/<source>.jsonl rows conforming
to EvidenceRecord v1, plus a high-level health audit proving the
substrate is real before Phase 3 reads from it.
Files:
scripts/distillation/build_evidence_index.ts materializeAll() + cli
scripts/distillation/check_evidence_health.ts provenance + coverage audit
tests/distillation/build_evidence_index.test.ts 9 acceptance tests
Test metrics:
9/9 pass · 85 expect() calls · 323ms
Real-data run (2026-04-27T03:33:53Z):
1053 rows read from 12 source streams
1051 written (99.8%) to data/evidence/2026/04/27/
2 skipped (outcomes.jsonl rows missing created_at — schema-level catch)
0 deduped on first run
Sources covered (priority order from recon):
TIER 1 (validated 100% in Phase 1, 8 sources):
distilled_facts/procedures/config_hints, contract_analyses,
mode_experiments, scrum_reviews, observer_escalations, audit_facts
TIER 2 (added by Phase 2):
auto_apply, observer_reviews, audits, outcomes
High-level audit results:
Provenance round-trip: 30/30 sampled rows trace cleanly to source
rows with matching canonicalSha256(orderedKeys(row)). Every output
has source_file + line_offset + sig_hash + recorded_at. Proven.
Score-readiness: 54% aggregate scoreable. Three-class taxonomy
emerges from coverage matrix:
- Verdict-bearing (100% scoreable): scrum_reviews, observer_reviews,
audits, contract_analyses — direct scoring inputs
- Telemetry-rich (0-70%): mode_experiments, audit_facts, outcomes
— Phase 3 will derive markers from latency/grounding/retrieval
- Pure-extraction (0%): distilled_*, observer_escalations
— context for OTHER scoring, not scoreable themselves
Invariants enforced (proven by tests + real-data audit):
- ZERO model calls in materializer (deterministic only)
- canonicalSha256(orderedKeys(row)) per source row → stable sig_hash
- Schema validator gates output: rejected rows go to skips, never to evidence/
- JSON.parse failures caught + logged, never crash the run
- Missing source files tallied as rows_present=false, never error
- Idempotent: second run on identical input writes 0 rows (proven on
real data: 1053 read, 0 written, 1051 deduped)
- Bit-stable: identical input produces byte-identical output (proven
by tests/distillation/build_evidence_index.test.ts case 3)
- Receipt self-validates against schema before write
- validation_pass = boolean (skipped == 0), never inferred
Receipt at:
reports/distillation/2026-04-27T03-33-53-972Z/receipt.json
- schema_version=1, git_sha pinned, sha256 on every input/output
- record_counts: {in:1053, out:1051, skipped:2, deduped:0}
- validation_pass=false (skipped > 0; spec says explicit, never inferred)
Skips at:
data/_kb/distillation_skips.jsonl (2 rows from outcomes.jsonl,
reason: timestamp field missing — schema layer caught it cleanly)
Health audit at:
data/_kb/evidence_health.md
Phase 2 done-criteria all met:
✓ tests pass
✓ ≥1 row from each Tier-1 source on real data (8/8 + 4 Tier 2 bonus)
✓ data/_kb/distillation_skips.jsonl populated with reasons
✓ Receipt JSON written + self-validates
✓ Provenance round-trip proven on real sampled rows
✓ Score-readiness coverage measured
Carry-overs to Phase 3:
- audit_discrepancies transform (needed before Phase 4c preference data)
- model_trust transform (needed before ModelLedgerEntry aggregation)
- outcomes.jsonl created_at: 2 rows fail materialization, decide
transform-side fix vs source-side fix
- 11 untested streams from recon still have no transform; add as
Phase 3+ consumers need them
- mode_experiments + distilled_* are 0% scoreable; Phase 3 must
JOIN to adjacent verdict-bearing records, NOT score in isolation
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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