teleo-infrastructure/lib/attribution.py
m3taversal 5f554bc2de
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feat: atomic extract-and-connect + stale PR monitor + response audit
Atomic extract-and-connect (lib/connect.py):
- After extraction writes claim files, each new claim is embedded via
  OpenRouter, searched against Qdrant, and top-5 neighbors (cosine > 0.55)
  are added as `related` edges in the claim's frontmatter
- Edges written on NEW claim only — avoids merge conflicts
- Cross-domain connections enabled, non-fatal on Qdrant failure
- Wired into openrouter-extract-v2.py post-extraction step

Stale PR monitor (lib/stale_pr.py):
- Every watchdog cycle checks open extract/* PRs
- If open >30 min AND 0 claim files → auto-close with comment
- After 2 stale closures → marks source as extraction_failed
- Wired into watchdog.py as check #6

Response audit system:
- response_audit table (migration v8), persistent audit conn in bot.py
- 90-day retention cleanup, tool_calls JSON column
- Confidence tag stripping, systemd ReadWritePaths for pipeline.db

Supporting infrastructure:
- reweave.py: nightly edge reconnection for orphan claims
- reconcile-sources.py: source status reconciliation
- backfill-domains.py: domain classification backfill
- ops/reconcile-source-status.sh: operational reconciliation script
- Attribution improvements, post-extract enrichments, merge improvements

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-28 22:34:20 +00:00

190 lines
7.4 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})
# 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