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feat(attribution): Phase A — event-sourced contribution ledger (schema v24)
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Introduces contribution_events table + non-breaking double-write. Schema
lands today, forward traffic writes events alongside existing count upserts,
backfill script replays history. Phase B will add leaderboard API reading
from events; Phase C switches Argus dashboard over.
## Schema v24 (lib/db.py)
- contribution_events: one row per credit-earning event
(id, handle, kind, role, weight, pr_number, claim_path, domain, channel, timestamp)
Partial UNIQUE indexes handle SQLite's NULL != NULL semantics:
idx_ce_unique_claim on (handle, role, pr_number, claim_path) WHERE claim_path NOT NULL
idx_ce_unique_pr on (handle, role, pr_number) WHERE claim_path IS NULL
PR-level events (evaluator, author, challenger, synthesizer) dedup on 3-tuple.
Per-claim events (originator) dedup on 4-tuple. Idempotent on replay.
- contributor_aliases: canonical handle mapping
Seeded: @thesensatore → thesensatore, cameron → cameron-s1
- contributors.kind TEXT DEFAULT 'person'
Migration seeds 'agent' for known Pentagon agent handles.
## Role model (confirmed by Cory Apr 24)
Weights: author 0.30, challenger 0.25, synthesizer 0.20, originator 0.15, evaluator 0.05
- author: human who submitted the PR (curation + submission work)
- originator: person who authored the underlying content (rewards external creators)
- challenger: agent/person who brought a productive disagreement
- synthesizer: cross-domain work (enrichments, research sessions)
- evaluator: reviewer who approved (Leo + domain agent)
Humans-are-always-author: agents credit is capped at evaluator/synthesizer/
challenger. Pentagon agents classify as kind='agent' and surface in the
agent-view leaderboard, not the default person view.
## Writer (lib/contributor.py)
- New insert_contribution_event(): idempotent INSERT OR IGNORE with alias
normalization + kind classification. Falls back silently on pre-v24 DBs.
- record_contributor_attribution double-writes alongside existing
upsert_contributor calls. Zero risk to current dashboard.
- Author event: emitted once per PR from prs.submitted_by → git author →
agent-branch-prefix.
- Originator events: emitted per claim from frontmatter sourcer, skipping
when sourcer == author (avoids self-credit double-count).
- Evaluator events: Leo (always when leo_verdict='approve') + domain_agent
(when domain_verdict='approve' and not Leo).
- Challenger/Synthesizer: emitted from Pentagon-Agent trailer on
agent-owned branches (theseus/*, rio/*, etc.) based on commit_type.
Pipeline-owned branches (extract/*, reweave/*) get no trailer-based event —
infrastructure work isn't contribution credit.
## Helpers (lib/attribution.py)
- normalize_handle(raw, conn=None): lowercase + strip @ + alias lookup
- classify_kind(handle): returns 'agent' for PENTAGON_AGENTS, else 'person'
Intentionally narrow. Orgs get classified by operator review, not heuristics.
## Backfill (scripts/backfill-events.py)
Replays all merged PRs into events. Idempotent (safe to re-run). Emits:
- PR-level: author, evaluator, challenger, synthesizer
- Per-claim: originator (walks knowledge tree, matches via description titles)
Known limitation: post-merge PR branches are deleted from Forgejo, so we
can't diff them for granular per-claim events. Claim→PR mapping uses
prs.description (pipe-separated titles). Misses some edge cases but
recovers the bulk of historical originator credit. Forward traffic gets
clean per-claim events via the normal record_contributor_attribution path.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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