teleo-infrastructure/lib/attribution.py
m3taversal 3fe0f4b744 fix(attribution): credit sourcer/extractor from claim frontmatter
Three layers of contributor-attribution bug surfaced by Apr 24 leaderboard
investigation. alexastrum, thesensatore, cameron-s1 all had real merged
contributions but zero credit in the contributors table.

1. lib/attribution.py: parse_attribution() only read `attribution_sourcer:`
   prefix-keyed flat fields. ~42% of claim files (535/1280) use the bare-key
   form `sourcer: alexastrum` written by extract.py. Added bare-key handling
   between the prefixed-flat path and the legacy-source-field fallback.
   Block format (`attribution: { sourcer: [...] }`) still wins when present.

2. lib/contributor.py: record_contributor_attribution() parsed the diff text
   with regex looking for `+- handle: "X"` lines. This matched neither the
   bare-key flat format nor the `attribution: { sourcer: [...] }` block
   format Leo uses for manual extractions. Replaced the regex parser with
   a file walker that calls attribution.parse_attribution_from_file() on
   each changed knowledge file — single source of truth for both formats.

3. scripts/backfill-sourcer-attribution.py: walks all merged knowledge files,
   re-attributes via the canonical parser, upserts contributors. Default
   additive mode preserves existing high counts (e.g. m3taversal.sourcer=1011
   reflects Telegram-curator credit accumulated via a different code path
   that this fix does not touch). --reset flag for the destructive case.

Dry-run preview (additive mode):
  - 670 NEW contributors to insert (mostly source-citation handles)
  - 77 EXISTING contributors with under-counted role columns
  - alexastrum: 0 → 6, thesensatore: 0 → 5, cameron-s1: 0 → 2
  - astra.sourcer: 0 → 96, leo.sourcer: 0 → 44, theseus.sourcer: 0 → 18
  - m3taversal.sourcer: 1011 (preserved, not 22 from file walk)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 12:48:41 +01:00

214 lines
8.7 KiB
Python

"""Attribution module — shared between post_extract.py and merge.py.
Owns: parsing attribution from YAML frontmatter, validating role entries,
computing role counts for contributor upserts, building attribution blocks.
Avoids circular dependency between post_extract.py (validates attribution at
extraction time) and merge.py (records attribution at merge time). Both
import from this shared module.
Schema reference: schemas/attribution.md
Weights reference: schemas/contribution-weights.yaml
Epimetheus owns this module. Leo reviews changes.
"""
import logging
import re
from pathlib import Path
logger = logging.getLogger("pipeline.attribution")
VALID_ROLES = frozenset({"sourcer", "extractor", "challenger", "synthesizer", "reviewer"})
# ─── Parse attribution from claim content ──────────────────────────────────
def parse_attribution(fm: dict) -> dict[str, list[dict]]:
"""Extract attribution block from claim frontmatter.
Returns {role: [{"handle": str, "agent_id": str|None, "context": str|None}]}
Handles both nested YAML format and flat field format.
"""
result = {role: [] for role in VALID_ROLES}
attribution = fm.get("attribution")
if isinstance(attribution, dict):
# Nested format (from schema spec)
for role in VALID_ROLES:
entries = attribution.get(role, [])
if isinstance(entries, list):
for entry in entries:
if isinstance(entry, dict) and "handle" in entry:
result[role].append({
"handle": entry["handle"].strip().lower().lstrip("@"),
"agent_id": entry.get("agent_id"),
"context": entry.get("context"),
})
elif isinstance(entry, str):
result[role].append({"handle": entry.strip().lower().lstrip("@"), "agent_id": None, "context": None})
elif isinstance(entries, str):
# Single entry as string
result[role].append({"handle": entries.strip().lower().lstrip("@"), "agent_id": None, "context": None})
return result
# Flat format fallback (attribution_sourcer, attribution_extractor, etc.)
for role in VALID_ROLES:
flat_val = fm.get(f"attribution_{role}")
if flat_val:
if isinstance(flat_val, str):
result[role].append({"handle": flat_val.strip().lower().lstrip("@"), "agent_id": None, "context": None})
elif isinstance(flat_val, list):
for v in flat_val:
if isinstance(v, str):
result[role].append({"handle": v.strip().lower().lstrip("@"), "agent_id": None, "context": None})
# Bare-key flat format: `sourcer: alexastrum`, `extractor: leo`, etc.
# This is what extract.py writes (line 290: f'sourcer: "{sourcer}"') — the most
# common format in practice (~42% of claim files). The Apr 24 incident traced
# missing leaderboard entries to this format being silently dropped because the
# parser only checked the `attribution_*` prefix.
# Only fill if the role wasn't already populated by the prefixed form, to avoid
# double-counting when both formats coexist on the same claim.
for role in VALID_ROLES:
if result[role]:
continue
bare_val = fm.get(role)
if isinstance(bare_val, str) and bare_val.strip():
result[role].append({"handle": bare_val.strip().lower().lstrip("@"), "agent_id": None, "context": None})
elif isinstance(bare_val, list):
for v in bare_val:
if isinstance(v, str) and v.strip():
result[role].append({"handle": v.strip().lower().lstrip("@"), "agent_id": None, "context": None})
elif isinstance(v, dict) and v.get("handle"):
result[role].append({
"handle": v["handle"].strip().lower().lstrip("@"),
"agent_id": v.get("agent_id"),
"context": v.get("context"),
})
# Legacy fallback: infer from source field
if not any(result[r] for r in VALID_ROLES):
source = fm.get("source", "")
if isinstance(source, str) and source:
# Try to extract author handle from source string
# Patterns: "@handle", "Author Name", "org, description"
handle_match = re.search(r"@(\w+)", source)
if handle_match:
result["sourcer"].append({"handle": handle_match.group(1).lower(), "agent_id": None, "context": source})
else:
# Use first word/phrase before comma as sourcer handle
author = source.split(",")[0].strip().lower().replace(" ", "-")
if author and len(author) > 1:
result["sourcer"].append({"handle": author, "agent_id": None, "context": source})
return result
def parse_attribution_from_file(filepath: str) -> dict[str, list[dict]]:
"""Read a claim file and extract attribution. Returns role→entries dict."""
try:
content = Path(filepath).read_text()
except (FileNotFoundError, PermissionError):
return {role: [] for role in VALID_ROLES}
from .post_extract import parse_frontmatter
fm, _ = parse_frontmatter(content)
if fm is None:
return {role: [] for role in VALID_ROLES}
return parse_attribution(fm)
# ─── Validate attribution ──────────────────────────────────────────────────
def validate_attribution(fm: dict, agent: str | None = None) -> list[str]:
"""Validate attribution block in claim frontmatter.
Returns list of issues. Block on missing extractor, warn on missing sourcer.
(Leo: extractor is always known, sourcer is best-effort.)
If agent is provided and extractor is missing, auto-fix by setting the
agent as extractor (same pattern as created-date auto-fix).
Only validates if an attribution block is explicitly present. Legacy claims
without attribution blocks are not blocked — they'll get attribution when
enriched. New claims from v2 extraction always have attribution.
"""
issues = []
# Only validate if attribution block exists (don't break legacy claims)
has_attribution = (
fm.get("attribution") is not None
or any(fm.get(f"attribution_{role}") for role in VALID_ROLES)
)
if not has_attribution:
return [] # No attribution block = legacy claim, not an error
attribution = parse_attribution(fm)
if not attribution["extractor"]:
if agent:
# Auto-fix: set the processing agent as extractor
attr = fm.get("attribution")
if isinstance(attr, dict):
attr["extractor"] = [{"handle": agent}]
else:
fm["attribution"] = {"extractor": [{"handle": agent}]}
issues.append("fixed_missing_extractor")
else:
issues.append("missing_attribution_extractor")
return issues
# ─── Build attribution block ──────────────────────────────────────────────
def build_attribution_block(
agent: str,
agent_id: str | None = None,
source_handle: str | None = None,
source_context: str | None = None,
) -> dict:
"""Build an attribution dict for a newly extracted claim.
Called by openrouter-extract-v2.py when reconstructing claim content.
"""
attribution = {
"extractor": [{"handle": agent}],
"sourcer": [],
"challenger": [],
"synthesizer": [],
"reviewer": [],
}
if agent_id:
attribution["extractor"][0]["agent_id"] = agent_id
if source_handle:
entry = {"handle": source_handle.strip().lower().lstrip("@")}
if source_context:
entry["context"] = source_context
attribution["sourcer"].append(entry)
return attribution
# ─── Compute role counts for contributor upserts ──────────────────────────
def role_counts_from_attribution(attribution: dict[str, list[dict]]) -> dict[str, list[str]]:
"""Extract {role: [handle, ...]} for contributor table upserts.
Returns a dict mapping each role to the list of contributor handles.
Used by merge.py to credit contributors after merge.
"""
counts: dict[str, list[str]] = {}
for role in VALID_ROLES:
handles = [entry["handle"] for entry in attribution.get(role, []) if entry.get("handle")]
if handles:
counts[role] = handles
return counts