m3taversal
05d74d5e32
Imports 67 files from VPS (/opt/teleo-eval/) into repo as the single source of truth. Previously only 8 of 67 files existed in repo — the rest were deployed directly to VPS via SCP, causing massive drift. Includes: - pipeline/lib/: 33 Python modules (daemon core, extraction, evaluation, merge, cascade, cross-domain, costs, attribution, etc.) - pipeline/: main daemon (teleo-pipeline.py), reweave.py, batch-extract-50.sh - diagnostics/: 19 files (4-page dashboard, alerting, daily digest, review queue, tier1 metrics) - agent-state/: bootstrap, lib-state, cascade inbox processor, schema - systemd/: service unit files for reference - deploy.sh: rsync-based deploy with --dry-run, syntax checks, dirty-tree gate - research-session.sh: updated with Step 8.5 digest + cascade inbox processing No new code written — all files are exact copies from VPS as of 2026-04-06. From this point forward: edit in repo, commit, then deploy.sh. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
756 lines
26 KiB
Python
756 lines
26 KiB
Python
"""Extraction stage — automated claim extraction from queued sources.
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Replaces extract-cron.sh with a Python module inside the pipeline daemon.
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Processes unprocessed sources in inbox/queue/, extracts claims via LLM,
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creates PRs on Forgejo, and archives sources on main.
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Flow per source:
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1. Read source frontmatter (domain, author, rationale)
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2. Pre-screen: Haiku identifies themes, Qdrant finds prior art
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3. Build KB index for dedup
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4. Build extraction prompt (extraction_prompt.py)
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5. Call Sonnet via OpenRouter
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6. Parse JSON response
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7. Post-extraction validation (post_extract.py)
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8. Create branch, write claim/entity files, commit, push
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9. Create PR on Forgejo via agent token
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10. Archive source on main (worktree lock)
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Design: one source at a time (sequential), up to MAX_SOURCES per cycle.
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Uses the main worktree for reading + archival, extract worktree for branches.
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Epimetheus owns this module. Leo reviews changes.
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"""
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import asyncio
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import json
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import logging
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import os
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import re
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import secrets
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from datetime import date
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from pathlib import Path
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from . import config
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from .costs import record_usage
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from .domains import agent_for_domain
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from .extraction_prompt import build_extraction_prompt
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from .forgejo import api as forgejo_api
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from .llm import openrouter_call
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from .post_extract import load_existing_claims_from_repo, validate_and_fix_claims
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from .worktree_lock import async_main_worktree_lock
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logger = logging.getLogger("pipeline.extract")
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# Extraction worktree (separate from main to avoid conflicts)
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EXTRACT_WORKTREE = config.BASE_DIR / "workspaces" / "extract"
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# Max sources per cycle
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MAX_SOURCES = int(os.environ.get("MAX_EXTRACT_SOURCES", "3"))
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# KB index cache (rebuilt once per cycle, not per source)
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_kb_index_cache: dict[str, str] = {}
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_kb_index_timestamp: float = 0
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KB_INDEX_TTL = 300 # 5 minutes
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def _parse_source_frontmatter(content: str) -> dict:
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"""Parse source file frontmatter. Returns dict of fields."""
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if not content.startswith("---"):
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return {}
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end = content.find("---", 3)
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if end == -1:
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return {}
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raw = content[3:end]
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fm = {}
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for line in raw.strip().split("\n"):
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line = line.strip()
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if not line or ":" not in line:
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continue
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key, _, val = line.partition(":")
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key = key.strip()
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val = val.strip().strip('"').strip("'")
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if val.lower() == "null" or val == "":
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val = None
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fm[key] = val
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return fm
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def _get_kb_index(domain: str) -> str:
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"""Get KB index text for a domain. Uses cached /tmp/kb-indexes/ files."""
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import time
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global _kb_index_cache, _kb_index_timestamp
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now = time.time()
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if now - _kb_index_timestamp > KB_INDEX_TTL:
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_kb_index_cache.clear()
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_kb_index_timestamp = now
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if domain in _kb_index_cache:
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return _kb_index_cache[domain]
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# Try pre-generated index files first
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index_file = Path(f"/tmp/kb-indexes/{domain}.txt")
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if index_file.exists():
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text = index_file.read_text(encoding="utf-8")
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_kb_index_cache[domain] = text
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return text
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# Fallback: build from repo
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main = config.MAIN_WORKTREE
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claims = []
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domain_dir = main / "domains" / domain
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if domain_dir.is_dir():
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for f in domain_dir.glob("*.md"):
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if not f.name.startswith("_"):
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claims.append(f"- {f.name}")
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text = f"## Claims in domains/{domain}/\n" + "\n".join(sorted(claims))
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_kb_index_cache[domain] = text
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return text
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async def _git(*args, cwd: str = None, timeout: int = 60) -> tuple[int, str]:
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"""Run a git command async. Returns (returncode, stdout+stderr)."""
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proc = await asyncio.create_subprocess_exec(
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"git", *args,
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cwd=cwd or str(EXTRACT_WORKTREE),
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stdout=asyncio.subprocess.PIPE,
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stderr=asyncio.subprocess.PIPE,
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)
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try:
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stdout, stderr = await asyncio.wait_for(proc.communicate(), timeout=timeout)
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except asyncio.TimeoutError:
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proc.kill()
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await proc.wait()
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return -1, f"git {args[0]} timed out after {timeout}s"
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output = (stdout or b"").decode().strip()
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if stderr:
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output += "\n" + stderr.decode().strip()
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return proc.returncode, output
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async def _pre_screen(source_content: str, source_title: str) -> str | None:
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"""Run pre-screening: identify themes and find prior art.
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Returns formatted prior art text, or None if pre-screening fails/unavailable.
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Non-fatal — extraction proceeds without prior art if this fails.
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"""
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try:
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from .pre_screen import identify_themes, PRIOR_ART_THRESHOLD
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from .search import search
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key_file = config.SECRETS_DIR / "openrouter-key"
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if not key_file.exists():
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return None
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api_key = key_file.read_text().strip()
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themes = identify_themes(source_content, api_key, source_title)
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if not themes:
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return None
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# Search each theme against Qdrant
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results = []
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search_queries = themes + ([source_title] if source_title else [])
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for query in search_queries[:5]:
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try:
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hits = search(query, limit=3, score_threshold=PRIOR_ART_THRESHOLD)
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for hit in hits:
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title = hit.get("title", hit.get("filename", ""))
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score = hit.get("score", 0)
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domain = hit.get("domain", "")
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if title and score >= PRIOR_ART_THRESHOLD:
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results.append(f"- [{score:.2f}] {title} (domain: {domain})")
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except Exception:
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continue
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if not results:
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return None
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# Deduplicate
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seen = set()
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unique = []
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for r in results:
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if r not in seen:
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seen.add(r)
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unique.append(r)
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return "\n".join(unique[:15])
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except Exception:
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logger.debug("Pre-screening failed (non-fatal)", exc_info=True)
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return None
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def _parse_extraction_json(text: str) -> dict | None:
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"""Parse extraction JSON from LLM response. Handles markdown fencing."""
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if not text:
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return None
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# Strip markdown code fences
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text = text.strip()
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if text.startswith("```"):
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# Remove opening fence (```json or ```)
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first_newline = text.index("\n") if "\n" in text else len(text)
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text = text[first_newline + 1:]
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if text.endswith("```"):
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text = text[:-3]
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text = text.strip()
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try:
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return json.loads(text)
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except json.JSONDecodeError as e:
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logger.warning("Failed to parse extraction JSON: %s", e)
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# Try to find JSON object in text
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match = re.search(r"\{[\s\S]+\}", text)
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if match:
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try:
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return json.loads(match.group())
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except json.JSONDecodeError:
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pass
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return None
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def _build_claim_content(claim: dict, agent: str) -> str:
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"""Build claim markdown file content from extraction JSON."""
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today = date.today().isoformat()
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domain = claim.get("domain", "")
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title = claim.get("title", claim.get("filename", "").replace("-", " ").replace(".md", ""))
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description = claim.get("description", "")
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confidence = claim.get("confidence", "experimental")
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source_ref = claim.get("source", "")
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body = claim.get("body", "")
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scope = claim.get("scope", "")
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sourcer = claim.get("sourcer", "")
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related = claim.get("related_claims", [])
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lines = [
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"---",
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"type: claim",
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f"domain: {domain}",
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f'title: "{title}"',
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f'description: "{description}"',
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f"confidence: {confidence}",
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f'source: "{source_ref}"',
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f"created: {today}",
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f"agent: {agent}",
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]
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if scope:
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lines.append(f"scope: {scope}")
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if sourcer:
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lines.append(f'sourcer: "{sourcer}"')
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if related:
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lines.append("related_claims:")
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for r in related:
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lines.append(f' - "[[{r}]]"')
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lines.append("---")
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lines.append("")
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lines.append(f"# {title}")
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lines.append("")
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if body:
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lines.append(body)
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lines.append("")
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return "\n".join(lines)
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def _build_entity_content(entity: dict, domain: str) -> str:
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"""Build entity markdown file content from extraction JSON."""
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today = date.today().isoformat()
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entity_type = entity.get("entity_type", "company")
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description = entity.get("content", "")
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if description:
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return description
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name = entity.get("filename", "").replace("-", " ").replace(".md", "").title()
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return f"""---
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type: entity
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entity_type: {entity_type}
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domain: {domain}
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description: ""
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created: {today}
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---
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# {name}
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## Timeline
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{entity.get("timeline_entry", "")}
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"""
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async def _extract_one_source(
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conn,
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source_path: str,
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source_content: str,
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fm: dict,
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existing_claims: set[str],
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feedback: dict | None = None,
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) -> tuple[int, int]:
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"""Extract claims from a single source. Returns (succeeded, errors)."""
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source_file = os.path.basename(source_path)
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domain = fm.get("domain", "")
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agent_name = agent_for_domain(domain)
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agent_lower = agent_name.lower()
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title = fm.get("title", source_file)
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rationale = fm.get("rationale")
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intake_tier = fm.get("intake_tier")
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proposed_by = fm.get("proposed_by")
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logger.info("Extracting: %s (domain: %s, agent: %s)", source_file, domain, agent_name)
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# 1. Pre-screen (non-fatal)
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prior_art = await _pre_screen(source_content, title)
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if prior_art:
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logger.info("Pre-screening found %d prior art items", prior_art.count("\n") + 1)
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# 2. Build KB index
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kb_index = _get_kb_index(domain)
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# 3. Build extraction prompt
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prompt = build_extraction_prompt(
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source_file=source_path,
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source_content=source_content,
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domain=domain,
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agent=agent_name,
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kb_index=kb_index,
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rationale=rationale,
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intake_tier=intake_tier,
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proposed_by=proposed_by,
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prior_art=prior_art,
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previous_feedback=feedback,
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)
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# 4. Call LLM (OpenRouter — not Claude Max CLI)
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# EXTRACT_MODEL is "sonnet" (CLI name), use MODEL_SONNET_OR for OpenRouter
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extract_model = config.MODEL_SONNET_OR
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response, usage = await openrouter_call(
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model=extract_model,
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prompt=prompt,
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timeout_sec=config.EXTRACT_TIMEOUT,
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max_tokens=8192,
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)
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# Record usage
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try:
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record_usage(
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conn,
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model=extract_model,
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stage="extract",
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input_tokens=usage.get("prompt_tokens", 0),
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output_tokens=usage.get("completion_tokens", 0),
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backend="api",
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)
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except Exception:
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logger.debug("Failed to record extraction usage", exc_info=True)
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if not response:
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logger.error("LLM extraction failed for %s — no response", source_file)
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return 0, 1
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# 5. Parse JSON
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extraction = _parse_extraction_json(response)
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if not extraction:
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logger.error("Failed to parse extraction JSON for %s", source_file)
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return 0, 1
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claims_raw = extraction.get("claims", [])
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entities_raw = extraction.get("entities", [])
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enrichments = extraction.get("enrichments", [])
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decisions = extraction.get("decisions", [])
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facts = extraction.get("facts", [])
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notes = extraction.get("extraction_notes", "")
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logger.info(
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"Extraction result for %s: %d claims, %d enrichments, %d entities, %d decisions",
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source_file, len(claims_raw), len(enrichments), len(entities_raw), len(decisions),
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)
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# 6. Build claim file contents
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claim_files = []
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for c in claims_raw:
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filename = c.get("filename", "")
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if not filename:
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continue
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if not filename.endswith(".md"):
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filename += ".md"
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content = _build_claim_content(c, agent_lower)
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claim_files.append({"filename": filename, "domain": c.get("domain", domain), "content": content})
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# Build entity file contents
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entity_files = []
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for e in entities_raw:
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filename = e.get("filename", "")
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if not filename:
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continue
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if not filename.endswith(".md"):
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filename += ".md"
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action = e.get("action", "create")
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if action == "create":
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content = _build_entity_content(e, domain)
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entity_files.append({"filename": filename, "domain": domain, "content": content})
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# 7. Post-extraction validation
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if claim_files:
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kept_claims, rejected_claims, stats = validate_and_fix_claims(
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claim_files, domain, agent_lower, existing_claims,
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repo_root=str(config.MAIN_WORKTREE),
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)
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if rejected_claims:
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logger.info(
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"Post-extract rejected %d/%d claims for %s: %s",
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len(rejected_claims), len(claim_files), source_file,
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stats.get("rejections", [])[:5],
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)
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claim_files = kept_claims
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if not claim_files and not entity_files:
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logger.info("No valid claims/entities after validation for %s — archiving as null-result", source_file)
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await _archive_source(source_path, domain, "null-result")
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return 0, 0
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# 8. Create branch, write files, commit, push
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slug = Path(source_file).stem
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branch = f"extract/{slug}-{secrets.token_hex(2)}"
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# Prepare extract worktree
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rc, _ = await _git("fetch", "origin", "main", cwd=str(EXTRACT_WORKTREE))
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rc, _ = await _git("checkout", "main", cwd=str(EXTRACT_WORKTREE))
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rc, _ = await _git("reset", "--hard", "origin/main", cwd=str(EXTRACT_WORKTREE))
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rc, _ = await _git("checkout", "-b", branch, cwd=str(EXTRACT_WORKTREE))
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if rc != 0:
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# Branch might already exist
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await _git("branch", "-D", branch, cwd=str(EXTRACT_WORKTREE))
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rc, out = await _git("checkout", "-b", branch, cwd=str(EXTRACT_WORKTREE))
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if rc != 0:
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logger.error("Failed to create branch %s: %s", branch, out)
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return 0, 1
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# Write claim files
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worktree = EXTRACT_WORKTREE
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files_written = []
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for cf in claim_files:
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domain_dir = worktree / "domains" / cf["domain"]
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domain_dir.mkdir(parents=True, exist_ok=True)
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fpath = domain_dir / cf["filename"]
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fpath.write_text(cf["content"], encoding="utf-8")
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files_written.append(f"domains/{cf['domain']}/{cf['filename']}")
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for ef in entity_files:
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entity_dir = worktree / "entities" / domain
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entity_dir.mkdir(parents=True, exist_ok=True)
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fpath = entity_dir / ef["filename"]
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fpath.write_text(ef["content"], encoding="utf-8")
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files_written.append(f"entities/{domain}/{ef['filename']}")
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if not files_written:
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logger.info("No files written for %s — cleaning up", source_file)
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await _git("checkout", "main", cwd=str(EXTRACT_WORKTREE))
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await _git("branch", "-D", branch, cwd=str(EXTRACT_WORKTREE))
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await _archive_source(source_path, domain, "null-result")
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return 0, 0
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# Stage and commit
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for f in files_written:
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await _git("add", f, cwd=str(EXTRACT_WORKTREE))
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commit_msg = (
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f"{agent_lower}: extract claims from {slug}\n\n"
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f"- Source: {source_path}\n"
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f"- Domain: {domain}\n"
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f"- Claims: {len(claim_files)}, Entities: {len(entity_files)}\n"
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f"- Enrichments: {len(enrichments)}\n"
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f"- Extracted by: pipeline ingest (OpenRouter {extract_model})\n\n"
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f"Pentagon-Agent: {agent_name} <PIPELINE>"
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)
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rc, out = await _git("commit", "-m", commit_msg, cwd=str(EXTRACT_WORKTREE))
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if rc != 0:
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logger.error("Commit failed for %s: %s", branch, out)
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await _git("checkout", "main", cwd=str(EXTRACT_WORKTREE))
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await _git("branch", "-D", branch, cwd=str(EXTRACT_WORKTREE))
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return 0, 1
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# Push branch
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rc, out = await _git("push", "-u", "origin", branch, cwd=str(EXTRACT_WORKTREE))
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if rc != 0:
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logger.error("Push failed for %s: %s", branch, out)
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await _git("checkout", "main", cwd=str(EXTRACT_WORKTREE))
|
|
await _git("branch", "-D", branch, cwd=str(EXTRACT_WORKTREE))
|
|
return 0, 1
|
|
|
|
# 9. Create PR on Forgejo
|
|
agent_token_file = config.SECRETS_DIR / f"forgejo-{agent_lower}-token"
|
|
if not agent_token_file.exists():
|
|
agent_token_file = config.SECRETS_DIR / "forgejo-leo-token"
|
|
agent_token = agent_token_file.read_text().strip()
|
|
|
|
pr_title = f"{agent_lower}: extract claims from {slug}"
|
|
pr_body = (
|
|
f"## Automated Extraction\n\n"
|
|
f"**Source:** `{source_path}`\n"
|
|
f"**Domain:** {domain}\n"
|
|
f"**Agent:** {agent_name}\n"
|
|
f"**Model:** {extract_model}\n\n"
|
|
f"### Extraction Summary\n"
|
|
f"- **Claims:** {len(claim_files)}\n"
|
|
f"- **Entities:** {len(entity_files)}\n"
|
|
f"- **Enrichments:** {len(enrichments)}\n"
|
|
f"- **Decisions:** {len(decisions)}\n"
|
|
f"- **Facts:** {len(facts)}\n\n"
|
|
f"{notes}\n\n"
|
|
f"---\n"
|
|
f"*Extracted by pipeline ingest stage (replaces extract-cron.sh)*"
|
|
)
|
|
|
|
pr_result = await forgejo_api(
|
|
"POST",
|
|
f"/repos/{config.FORGEJO_OWNER}/{config.FORGEJO_REPO}/pulls",
|
|
body={"title": pr_title, "body": pr_body, "base": "main", "head": branch},
|
|
token=agent_token,
|
|
)
|
|
|
|
if pr_result and pr_result.get("number"):
|
|
pr_num = pr_result["number"]
|
|
logger.info("PR #%d created for %s (%d claims, %d entities)", pr_num, source_file, len(claim_files), len(entity_files))
|
|
else:
|
|
logger.warning("PR creation may have failed for %s — response: %s", source_file, pr_result)
|
|
|
|
# Clean up extract worktree
|
|
await _git("checkout", "main", cwd=str(EXTRACT_WORKTREE))
|
|
|
|
# 10. Archive source on main
|
|
await _archive_source(source_path, domain, "processed", agent_lower)
|
|
|
|
return 1, 0
|
|
|
|
|
|
async def _archive_source(
|
|
source_path: str,
|
|
domain: str,
|
|
status: str,
|
|
agent: str | None = None,
|
|
) -> None:
|
|
"""Move source from inbox/queue/ to archive (or null-result) on main.
|
|
|
|
Uses worktree lock to avoid conflicts with other main-writing processes.
|
|
"""
|
|
source_file = os.path.basename(source_path)
|
|
main = str(config.MAIN_WORKTREE)
|
|
|
|
try:
|
|
async with async_main_worktree_lock():
|
|
# Pull latest
|
|
await _git("pull", "--rebase", "origin", "main", cwd=main, timeout=30)
|
|
|
|
queue_path = Path(main) / "inbox" / "queue" / source_file
|
|
if not queue_path.exists():
|
|
logger.warning("Source %s not found in queue — may have been archived already", source_file)
|
|
return
|
|
|
|
if status == "null-result":
|
|
dest_dir = Path(main) / "inbox" / "null-result"
|
|
else:
|
|
dest_dir = Path(main) / "inbox" / "archive" / (domain or "unknown")
|
|
|
|
dest_dir.mkdir(parents=True, exist_ok=True)
|
|
dest_path = dest_dir / source_file
|
|
|
|
# Read and update frontmatter
|
|
content = queue_path.read_text(encoding="utf-8")
|
|
today = date.today().isoformat()
|
|
|
|
content = re.sub(r"^status: unprocessed", f"status: {status}", content, flags=re.MULTILINE)
|
|
if agent and "processed_by:" not in content:
|
|
content = re.sub(
|
|
r"(^status: \w+)",
|
|
rf"\1\nprocessed_by: {agent}\nprocessed_date: {today}",
|
|
content,
|
|
count=1,
|
|
flags=re.MULTILINE,
|
|
)
|
|
if "extraction_model:" not in content:
|
|
content = re.sub(
|
|
r"(^status: \w+.*?)(\n---)",
|
|
rf'\1\nextraction_model: "{config.MODEL_SONNET_OR}"\2',
|
|
content,
|
|
count=1,
|
|
flags=re.MULTILINE | re.DOTALL,
|
|
)
|
|
|
|
dest_path.write_text(content, encoding="utf-8")
|
|
queue_path.unlink()
|
|
|
|
# Git add, commit, push
|
|
await _git("add", "inbox/", cwd=main)
|
|
commit_msg = (
|
|
f"source: {source_file} → {status}\n\n"
|
|
f"Pentagon-Agent: Epimetheus <PIPELINE>"
|
|
)
|
|
await _git("commit", "-m", commit_msg, cwd=main)
|
|
|
|
# Push with retry
|
|
for attempt in range(3):
|
|
rc, out = await _git("push", "origin", "main", cwd=main, timeout=30)
|
|
if rc == 0:
|
|
break
|
|
logger.warning("Push attempt %d failed: %s", attempt + 1, out)
|
|
await _git("pull", "--rebase", "origin", "main", cwd=main, timeout=30)
|
|
else:
|
|
logger.error("Failed to push source archival after 3 attempts")
|
|
|
|
except Exception:
|
|
logger.exception("Failed to archive source %s", source_file)
|
|
|
|
|
|
async def extract_cycle(conn, max_workers=None) -> tuple[int, int]:
|
|
"""Main extraction cycle — called by the pipeline daemon's ingest stage.
|
|
|
|
Finds unprocessed sources in inbox/queue/, extracts claims, creates PRs.
|
|
Returns (succeeded, errors) for circuit breaker tracking.
|
|
"""
|
|
main = config.MAIN_WORKTREE
|
|
|
|
# Find unprocessed sources
|
|
queue_dir = main / "inbox" / "queue"
|
|
if not queue_dir.exists():
|
|
return 0, 0
|
|
|
|
unprocessed = []
|
|
for f in sorted(queue_dir.glob("*.md")):
|
|
try:
|
|
content = f.read_text(encoding="utf-8")
|
|
fm = _parse_source_frontmatter(content)
|
|
if fm.get("status") == "unprocessed":
|
|
unprocessed.append((str(f.relative_to(main)), content, fm))
|
|
except Exception:
|
|
logger.debug("Failed to read source %s", f, exc_info=True)
|
|
|
|
if not unprocessed:
|
|
return 0, 0
|
|
|
|
# Filter out sources that already have open extraction PRs
|
|
open_pr_slugs = set()
|
|
try:
|
|
prs = await forgejo_api(
|
|
"GET",
|
|
f"/repos/{config.FORGEJO_OWNER}/{config.FORGEJO_REPO}/pulls?state=open&limit=50",
|
|
)
|
|
if prs:
|
|
for pr in prs:
|
|
head = pr.get("head", {}).get("ref", "")
|
|
if head.startswith("extract/"):
|
|
# Extract the source slug from branch name (extract/{slug}-{nonce})
|
|
slug_part = head[len("extract/"):]
|
|
# Remove the random suffix (last 5 chars: -{4-hex-chars})
|
|
if len(slug_part) > 5 and slug_part[-5] == "-":
|
|
slug_part = slug_part[:-5]
|
|
open_pr_slugs.add(slug_part)
|
|
except Exception:
|
|
logger.debug("Failed to check open PRs for dedup", exc_info=True)
|
|
|
|
if open_pr_slugs:
|
|
before = len(unprocessed)
|
|
unprocessed = [
|
|
(sp, c, f) for sp, c, f in unprocessed
|
|
if Path(sp).stem not in open_pr_slugs
|
|
]
|
|
skipped = before - len(unprocessed)
|
|
if skipped:
|
|
logger.info("Skipped %d source(s) with existing open PRs", skipped)
|
|
|
|
if not unprocessed:
|
|
return 0, 0
|
|
|
|
logger.info("Extract cycle: %d unprocessed source(s) found, processing up to %d", len(unprocessed), MAX_SOURCES)
|
|
|
|
# Load existing claims for dedup
|
|
existing_claims = load_existing_claims_from_repo(str(main))
|
|
|
|
# Ensure extract worktree exists and is clean
|
|
if not EXTRACT_WORKTREE.exists():
|
|
logger.error("Extract worktree not found at %s", EXTRACT_WORKTREE)
|
|
return 0, 1
|
|
|
|
total_ok = 0
|
|
total_err = 0
|
|
|
|
# ── Re-extraction: pick up sources that failed eval and have feedback ──
|
|
reextract_rows = conn.execute(
|
|
"""SELECT path, feedback FROM sources
|
|
WHERE status = 'needs_reextraction' AND feedback IS NOT NULL
|
|
ORDER BY updated_at ASC LIMIT ?""",
|
|
(max(1, MAX_SOURCES - len(unprocessed)),),
|
|
).fetchall()
|
|
|
|
for row in reextract_rows:
|
|
reex_path = row["path"]
|
|
# Source was archived — read from archive location
|
|
archive_base = main / "inbox" / "archive"
|
|
# Try to find the file in archive subdirs
|
|
reex_file = None
|
|
for subdir in archive_base.iterdir():
|
|
candidate = subdir / Path(reex_path).name
|
|
if candidate.exists():
|
|
reex_file = candidate
|
|
break
|
|
if not reex_file:
|
|
# Try original path as fallback
|
|
candidate = main / reex_path
|
|
if candidate.exists():
|
|
reex_file = candidate
|
|
|
|
if not reex_file:
|
|
logger.warning("Re-extraction: source %s not found on disk — skipping", reex_path)
|
|
continue
|
|
|
|
try:
|
|
reex_content = reex_file.read_text(encoding="utf-8")
|
|
reex_fm = _parse_source_frontmatter(reex_content)
|
|
reex_feedback = json.loads(row["feedback"]) if row["feedback"] else {}
|
|
|
|
logger.info("Re-extracting %s with feedback: %s", reex_path, list(reex_feedback.get("issues", [])))
|
|
|
|
conn.execute(
|
|
"UPDATE sources SET status = 'extracting', updated_at = datetime('now') WHERE path = ?",
|
|
(reex_path,),
|
|
)
|
|
conn.commit()
|
|
|
|
ok, err = await _extract_one_source(conn, reex_path, reex_content, reex_fm, existing_claims, feedback=reex_feedback)
|
|
total_ok += ok
|
|
total_err += err
|
|
|
|
if ok:
|
|
conn.execute(
|
|
"UPDATE sources SET status = 'extracted', updated_at = datetime('now') WHERE path = ?",
|
|
(reex_path,),
|
|
)
|
|
else:
|
|
conn.execute(
|
|
"UPDATE sources SET status = 'error', last_error = 're-extraction failed', updated_at = datetime('now') WHERE path = ?",
|
|
(reex_path,),
|
|
)
|
|
conn.commit()
|
|
except Exception:
|
|
logger.exception("Re-extraction failed for %s", reex_path)
|
|
total_err += 1
|
|
|
|
for source_path, content, fm in unprocessed[:MAX_SOURCES]:
|
|
try:
|
|
ok, err = await _extract_one_source(conn, source_path, content, fm, existing_claims)
|
|
total_ok += ok
|
|
total_err += err
|
|
except Exception:
|
|
logger.exception("Unhandled error extracting %s", source_path)
|
|
total_err += 1
|
|
|
|
# Brief pause between sources
|
|
await asyncio.sleep(2)
|
|
|
|
logger.info("Extract cycle complete: %d succeeded, %d errors", total_ok, total_err)
|
|
return total_ok, total_err
|