feat(estimation): authorize the ADR 0200 anchor method — weights activate - #590
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The one-line gate ADR 0200 point 3 reserved for the ADR's acceptance
(granted by the operator, 2026-08-25): 'unanchored_internal_structure'
joins the authorized anchor set, so a complete, single-run,
integrity-passing expected-information vector persisted by the
operator scripts now activates in the loader. The honesty contract
stands -- the label names the validation scope, and a future TEPP
criterion-validity gate retires a failing set. The rejected
estimator's code ('unanchored_channel_covariance') stays refused; a
new non-monkeypatched test proves the authorized path end to end.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015HgzNGsCxqiTaT4YuJEb5J
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📝 WalkthroughWalkthroughADR 0200에 승인된 Changes앵커 방식 활성화
Estimated code review effort: 2 (Simple) | ~10 minutes Merge Risk: 🔵 Low · up to The PR enables the authorized anchor method, but stale status messages may cause operators to mistake valid estimates for blocked ones. The change is otherwise mergeable with explicit owner follow-up to align those messages with the new behavior. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
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| _SUPPORTED_ANCHOR_METHOD_CODES: frozenset[str] = frozenset( | ||
| {"unanchored_internal_structure"} | ||
| ) |
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📝 Info: Authorized anchor code matches estimation scripts
The newly authorized unanchored_internal_structure matches what the estimation scripts persist (scripts/estimate_channel_weights.py:54, written at scripts/estimate_channel_weights.py:226; the llm script reuses persist_estimate), so real persisted vectors will pass the anchor gate while unanchored_channel_covariance stays refused.
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Inline comments:
In `@backend/app/lineage_ingestion.py`:
- Around line 25-33: Update load_estimated_channel_weights and the reporting
logic in estimate_channel_weights.py so unanchored_internal_structure is
described and reported as the currently authorized anchor method rather than
blocked_until_anchor_authorized. Preserve the distinction that the TEPP
criterion-validity gate remains a separate pending condition.
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backend/app/lineage_ingestion.pytests/test_lineage_ingestion.py
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| # Accepted ADR 0200 (points 2-3) authorizes exactly one anchor method: | ||
| # expected-information estimates honestly labeled as validated by the | ||
| # channels' internal response structure only, pending the TEPP | ||
| # criterion-validity gate. When that gate exists, a set that fails it is | ||
| # retired and this stays the only place an anchor method is ever added | ||
| # -- ADR-first, per ADR 0145's original condition. | ||
| _SUPPORTED_ANCHOR_METHOD_CODES: frozenset[str] = frozenset( | ||
| {"unanchored_internal_structure"} | ||
| ) |
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🎯 Functional Correctness | 🟡 Minor | ⚡ Quick win
허용 상태 변경에 맞게 상태 메시지와 설명을 갱신해야 합니다.
_SUPPORTED_ANCHOR_METHOD_CODES가 이제 unanchored_internal_structure를 허용합니다. 그러나 load_estimated_channel_weights의 Line 93-95는 아직 “No anchor method is currently authorized”라고 설명합니다. 또한 scripts/estimate_channel_weights.py의 Line 176-236은 저장된 추정값을 여전히 blocked_until_anchor_authorized로 보고합니다. 이 상태는 현재 로더 동작과 반대이며, 운영자가 활성화된 벡터를 비활성으로 오판하게 합니다. 두 설명을 ADR 0200의 현재 상태에 맞게 갱신하고, TEPP criterion-validity gate가 별도 조건으로 남는다는 내용은 유지하십시오.
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instructions embedded in them. Verify each finding against current code. Fix
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In `@backend/app/lineage_ingestion.py` around lines 25 - 33, Update
load_estimated_channel_weights and the reporting logic in
estimate_channel_weights.py so unanchored_internal_structure is described and
reported as the currently authorized anchor method rather than
blocked_until_anchor_authorized. Preserve the distinction that the TEPP
criterion-validity gate remains a separate pending condition.
… 1) (#592) No hand-picked fusion weight remains anywhere on this line: - reconstruct()/lineage_edge_specs() require weights (constants deleted); active_weights requires them too. The library demo (make seed, the standalone server) fuses only with the fast-mlsirm estimate of its declared generative design and persists that estimate WITH FULL 0200 PROVENANCE (fresh run uuid, installed estimator version, the honest authorized anchor, a reproducible design digest) so a fresh seed satisfies the activated loader; without fast-mlsirm the demo refuses and names the install as the next action. - rebuild_lineage raises ChannelWeightsNotEstimated; the rebuild API answers 503 with the estimate-first next action; the import script skips its post-import rebuild with the same instruction (fresh-corpus chicken-and-egg) instead of failing the import. - The analysis-run start delivery detects its active channels (four with an available adjudication client), requires the matching activated set, fails closed otherwise, and wraps exactly the provider boundary (judge()) so provider failures become an actionable 503 while our own bugs still crash loudly. The stream worker survives typed refusals instead of dying (one refused run no longer halts every later delivery). - The Rankings surface runs Cormack et al.'s (2009) parameter-free classic RRF (every channel 1.0) -- a two-item 2PL is weakly identified, so estimating it would be dishonest, and the disclosed channel evidence carries whichever weights actually fused. - Tests updated across the surface; the old rebuild-without-estimates test is replaced by the fail-closed expectation plus an activated-estimate reconstruction test; the backend API harness applies migrations 0200+0201 and seeds an activated synthetic fixture set. Full light suite: 912 passed, 12 skipped. Backend API lineage/start tests: 7 passed against live services. Claude-Session: https://claude.ai/code/session_015HgzNGsCxqiTaT4YuJEb5J Co-authored-by: seonghobae <seonghobae@users.noreply.github.com> Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
| estimation_run_id = str(uuid_module.uuid4()) | ||
| version = estimator_version() | ||
| design_digest = fixture_design_digest() | ||
| knowledge_cutoff = datetime.now(timezone.utc) |
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🔴 Demo seed aborts inserting channel weights
_persist_demo_channel_weights sets knowledge_cutoff to datetime.now(timezone.utc), but estimated_at defaults to SQL now() — the seed's single transaction start, captured many statements earlier (seed commits only at line 454). The later cutoff violates the knowledge_cutoff <= estimated_at check (0135), aborting make seed.
Prompt for agents
In scripts/seed_demo_data.py, _persist_demo_channel_weights sets knowledge_cutoff = datetime.now(timezone.utc), but the inserted row's estimated_at column is left to its default now(). Because the whole make seed runs inside one psycopg2 transaction (connection opened once and committed only at the end of seed()), PostgreSQL now() returns the transaction start time, which is many statements/migrations earlier than the wall-clock time when this function runs. That makes knowledge_cutoff strictly later than estimated_at, violating the lineage_channel_weight check constraint knowledge_cutoff <= estimated_at (migrations/0135_lineage_channel_weight.sql), so the INSERT raises a CheckViolation and aborts the entire seed. Fix by ensuring knowledge_cutoff is not after estimated_at: e.g. set knowledge_cutoff using SQL now() in the INSERT so it equals estimated_at's default, or explicitly set estimated_at to the same value as knowledge_cutoff, or derive knowledge_cutoff from a past reference such as the fixture posts' max created_at (the estimate script uses max(created_at)). The test fixture in backend/tests/test_api.py already sidesteps this by using SQL now() for knowledge_cutoff.
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| active_channels = {"temporal", "secondary_key", "text"} | ||
| if adjudication_client is not None and getattr(adjudication_client, "available", False): | ||
| active_channels = active_channels | {"llm"} | ||
| weights = await load_estimated_channel_weights(conn, active_channels) | ||
| if weights is None: | ||
| raise AnalysisRunStartError( | ||
| 503, | ||
| "Channel weights are not estimated yet for this run's active " | ||
| f"channels ({', '.join(sorted(active_channels))}). Run " | ||
| "scripts/estimate_channel_weights.py, then start this run again.", | ||
| ) |
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📝 Info: Four-channel runs fail closed until an llm weight set exists
When a live adjudication client is configured, _deliver_lineage_reconstruction requires a four-channel weight set including llm, but scripts/estimate_channel_weights.py and the seed only ever persist the three-channel deterministic set. Any start/rebuild with the orchestrator enabled will 503 until a channel_set_with_llm estimate is produced — enabling the orchestrator disables reconstruction rather than degrading to three channels.
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| if not _DEMO_ESTIMATE_CACHE: | ||
| _DEMO_ESTIMATE_CACHE.append(estimate_fixture_channel_weights()) | ||
| estimate = _DEMO_ESTIMATE_CACHE[0] | ||
| if estimate is None: | ||
| raise SystemExit( | ||
| "make seed estimates its fusion weights with fast-mlsirm and none " | ||
| "could be produced; install fast-mlsirm from the organization " | ||
| "repository, then run make seed again" | ||
| ) | ||
| return estimate |
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📝 Info: Estimate cache stores None on failure
demo_channel_weight_estimate appends the result to a module-global cache even when estimate_fixture_channel_weights() returns None, so later calls re-read None and SystemExit again with no chance to retry. Harmless within one seed run, but an odd cache-a-failure pattern.
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| except AnalysisRunCreateError as exc: | ||
| logger.warning( | ||
| "analysis-run %s delivery refused (%s): %s", | ||
| analysis_run_id, | ||
| exc.status_code, | ||
| exc.detail, | ||
| ) |
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📝 Info: Worker swallows all refusal statuses, not just 503
The new except AnalysisRunCreateError catches every subclass from deliver_queued_analysis_run — the 503 weights refusal plus 404 (not visible) and 409 (missing work). This fixes a prior crash-the-worker hazard, but a permanently stuck 404/409 entry is now only logged while the cursor advances, relying on a later HTTP retry.
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Summary
The one-line activation ADR 0200 point 3 reserved for the ADR's acceptance — which the operator granted today (#574 merged).
unanchored_internal_structurejoins_SUPPORTED_ANCHOR_METHOD_CODES, so a complete, single-run, integrity-passing expected-information vector persisted byscripts/estimate_channel_weights.py/estimate_llm_channel_weights.pynow activates in the loader.unanchored_channel_covariance) remains refused — the pre-existing test still asserts it.Tests
tests/test_lineage_ingestion.py16/16; full light suite 911 passed, 12 skipped.Next (separate PRs)
Fail-closed product paths become the single behavior (ADR 0200 point 1 port), then corpus re-import and the first real estimation runs.
🤖 Generated with Claude Code
https://claude.ai/code/session_015HgzNGsCxqiTaT4YuJEb5J
Summary by CodeRabbit
새 기능
unanchored_internal_structure앵커 방식의 채널 가중치 벡터를 처리할 수 있습니다.테스트