#!/usr/bin/env python3 """ Ingest a source document into the LLM Wiki. Usage: python tools/ingest.py python tools/ingest.py raw/articles/my-article.md The LLM reads the source, extracts knowledge, and updates the wiki: - Creates wiki/sources/.md - Updates wiki/index.md - Updates wiki/overview.md (if warranted) - Creates/updates entity and concept pages - Appends to wiki/log.md - Flags contradictions """ import os import sys import json import hashlib import re from pathlib import Path from datetime import date import anthropic REPO_ROOT = Path(__file__).parent.parent WIKI_DIR = REPO_ROOT / "wiki" LOG_FILE = WIKI_DIR / "log.md" INDEX_FILE = WIKI_DIR / "index.md" OVERVIEW_FILE = WIKI_DIR / "overview.md" SCHEMA_FILE = REPO_ROOT / "CLAUDE.md" def sha256(text: str) -> str: return hashlib.sha256(text.encode()).hexdigest()[:16] def read_file(path: Path) -> str: return path.read_text(encoding="utf-8") if path.exists() else "" def write_file(path: Path, content: str): path.parent.mkdir(parents=True, exist_ok=True) path.write_text(content, encoding="utf-8") print(f" wrote: {path.relative_to(REPO_ROOT)}") def build_wiki_context() -> str: parts = [] if INDEX_FILE.exists(): parts.append(f"## wiki/index.md\n{read_file(INDEX_FILE)}") if OVERVIEW_FILE.exists(): parts.append(f"## wiki/overview.md\n{read_file(OVERVIEW_FILE)}") # Include a few recent source pages for contradiction checking sources_dir = WIKI_DIR / "sources" if sources_dir.exists(): recent = sorted(sources_dir.glob("*.md"), key=lambda p: p.stat().st_mtime, reverse=True)[:5] for p in recent: parts.append(f"## {p.relative_to(REPO_ROOT)}\n{p.read_text()}") return "\n\n---\n\n".join(parts) def parse_json_from_response(text: str) -> dict: # Strip markdown code fences if present text = re.sub(r"^```(?:json)?\s*", "", text.strip()) text = re.sub(r"\s*```$", "", text.strip()) # Find the outermost JSON object match = re.search(r"\{[\s\S]*\}", text) if not match: raise ValueError("No JSON object found in response") return json.loads(match.group()) def update_index(new_entry: str, section: str = "Sources"): content = read_file(INDEX_FILE) if not content: content = "# Wiki Index\n\n## Overview\n- [Overview](overview.md) — living synthesis\n\n## Sources\n\n## Entities\n\n## Concepts\n\n## Syntheses\n" section_header = f"## {section}" if section_header in content: content = content.replace(section_header + "\n", section_header + "\n" + new_entry + "\n") else: content += f"\n{section_header}\n{new_entry}\n" write_file(INDEX_FILE, content) def append_log(entry: str): existing = read_file(LOG_FILE) write_file(LOG_FILE, entry.strip() + "\n\n" + existing) def ingest(source_path: str): source = Path(source_path) if not source.exists(): print(f"Error: file not found: {source_path}") sys.exit(1) source_content = source.read_text(encoding="utf-8") source_hash = sha256(source_content) today = date.today().isoformat() print(f"\nIngesting: {source.name} (hash: {source_hash})") wiki_context = build_wiki_context() schema = read_file(SCHEMA_FILE) client = anthropic.Anthropic() prompt = f"""You are maintaining an LLM Wiki. Process this source document and integrate its knowledge into the wiki. Schema and conventions: {schema} Current wiki state (index + recent pages): {wiki_context if wiki_context else "(wiki is empty — this is the first source)"} New source to ingest (file: {source.relative_to(REPO_ROOT) if source.is_relative_to(REPO_ROOT) else source.name}): === SOURCE START === {source_content} === SOURCE END === Today's date: {today} Return ONLY a valid JSON object with these fields (no markdown fences, no prose outside the JSON): {{ "title": "Human-readable title for this source", "slug": "kebab-case-slug-for-filename", "source_page": "full markdown content for wiki/sources/.md — use the source page format from the schema", "index_entry": "- [Title](sources/slug.md) — one-line summary", "overview_update": "full updated content for wiki/overview.md, or null if no update needed", "entity_pages": [ {{"path": "entities/EntityName.md", "content": "full markdown content"}} ], "concept_pages": [ {{"path": "concepts/ConceptName.md", "content": "full markdown content"}} ], "contradictions": ["describe any contradiction with existing wiki content, or empty list"], "log_entry": "## [{today}] ingest | \\n\\nAdded source. Key claims: ..." }} """ print(" calling Claude API...") response = client.messages.create( model="claude-sonnet-4-6", max_tokens=8192, messages=[{"role": "user", "content": prompt}], ) raw = response.content[0].text try: data = parse_json_from_response(raw) except (ValueError, json.JSONDecodeError) as e: print(f"Error parsing API response: {e}") print("Raw response saved to /tmp/ingest_debug.txt") Path("/tmp/ingest_debug.txt").write_text(raw) sys.exit(1) # Write source page slug = data["slug"] write_file(WIKI_DIR / "sources" / f"{slug}.md", data["source_page"]) # Write entity pages for page in data.get("entity_pages", []): write_file(WIKI_DIR / page["path"], page["content"]) # Write concept pages for page in data.get("concept_pages", []): write_file(WIKI_DIR / page["path"], page["content"]) # Update overview if data.get("overview_update"): write_file(OVERVIEW_FILE, data["overview_update"]) # Update index update_index(data["index_entry"], section="Sources") # Append log append_log(data["log_entry"]) # Report contradictions contradictions = data.get("contradictions", []) if contradictions: print("\n ⚠️ Contradictions detected:") for c in contradictions: print(f" - {c}") print(f"\nDone. Ingested: {data['title']}") if __name__ == "__main__": if len(sys.argv) < 2: print("Usage: python tools/ingest.py <path-to-source>") sys.exit(1) ingest(sys.argv[1])