""" FILE: app/core/ingestion/ingestion_processor.py DESCRIPTION: Der zentrale IngestionService (Orchestrator). WP-24c: Integration der Symmetrie-Logik (Automatische inverse Kanten). WP-25a: Integration der Mixture of Experts (MoE) Architektur. WP-15b: Two-Pass Workflow mit globalem Kontext-Cache. AUDIT v3.3.8: Lösung des Ghost-ID Problems & Pydantic-Crash Fix. Strikte Phasentrennung (Phase 2 global am Ende). Wiederherstellung der LLM-Logging-Transparenz. VERSION: 3.3.8 (WP-24c: Robust Authority Enforcement) STATUS: Active """ import logging import asyncio import os import re from typing import Dict, List, Optional, Tuple, Any # Core Module Imports from app.core.parser import ( read_markdown, pre_scan_markdown, normalize_frontmatter, validate_required_frontmatter, NoteContext ) from app.core.chunking import assemble_chunks from app.core.graph.graph_utils import _mk_edge_id # Datenbank-Ebene (Modularisierte database-Infrastruktur) from app.core.database.qdrant import QdrantConfig, get_client, ensure_collections, ensure_payload_indexes from app.core.database.qdrant_points import points_for_chunks, points_for_note, points_for_edges, upsert_batch from qdrant_client.http import models as rest # Services from app.services.embeddings_client import EmbeddingsClient from app.services.edge_registry import registry as edge_registry from app.services.llm_service import LLMService # Package-Interne Imports from .ingestion_utils import load_type_registry, resolve_note_type, get_chunk_config_by_profile from .ingestion_db import fetch_note_payload, artifacts_missing, purge_artifacts, is_explicit_edge_present from .ingestion_validation import validate_edge_candidate from .ingestion_note_payload import make_note_payload from .ingestion_chunk_payload import make_chunk_payloads # Fallback für Edges try: from app.core.graph.graph_derive_edges import build_edges_for_note except ImportError: def build_edges_for_note(*args, **kwargs): return [] logger = logging.getLogger(__name__) class IngestionService: def __init__(self, collection_prefix: str = None): """Initialisiert den Service und bereinigt das technische Logging.""" from app.config import get_settings self.settings = get_settings() # --- LOGGING CLEANUP (Header-Noise unterdrücken, Business erhalten) --- for lib in ["httpx", "httpcore", "qdrant_client", "urllib3", "openai"]: logging.getLogger(lib).setLevel(logging.WARNING) self.prefix = collection_prefix or self.settings.COLLECTION_PREFIX self.cfg = QdrantConfig.from_env() self.cfg.prefix = self.prefix self.client = get_client(self.cfg) self.registry = load_type_registry() self.embedder = EmbeddingsClient() self.llm = LLMService() embed_cfg = self.llm.profiles.get("embedding_expert", {}) self.dim = embed_cfg.get("dimensions") or self.settings.VECTOR_SIZE self.active_hash_mode = self.settings.CHANGE_DETECTION_MODE # Kontext-Gedächtnis für ID-Auflösung self.batch_cache: Dict[str, NoteContext] = {} # Puffer für Phase 2 (Symmetrie-Injektion am Ende des gesamten Imports) self.symmetry_buffer: List[Dict[str, Any]] = [] try: ensure_collections(self.client, self.prefix, self.dim) ensure_payload_indexes(self.client, self.prefix) except Exception as e: logger.warning(f"DB initialization warning: {e}") def _is_valid_note_id(self, text: Optional[str]) -> bool: """WP-24c: Fachliche Validitätsprüfung gegen Junk-Kanten.""" if not text or not isinstance(text, str) or len(text.strip()) < 2: return False blacklisted = {"insight", "event", "source", "task", "project", "person", "concept", "related_to", "referenced_by", "none", "unknown"} if text.lower().strip() in blacklisted: return False if len(text) > 200: return False return True async def run_batch(self, file_paths: List[str], vault_root: str) -> Dict[str, Any]: """ WP-15b: Phase 1 des Two-Phase Ingestion Workflows. Verarbeitet Batches und schreibt NUR Nutzer-Autorität (physische Kanten) in die DB. """ self.batch_cache.clear() logger.info(f"--- 🔍 START BATCH PHASE 1 ({len(file_paths)} Dateien) ---") # 1. Pre-Scan (ID-Gedächtnis füllen) for path in file_paths: try: ctx = pre_scan_markdown(path, registry=self.registry) if ctx: self.batch_cache[ctx.note_id] = ctx self.batch_cache[ctx.title] = ctx fname = os.path.splitext(os.path.basename(path))[0] self.batch_cache[fname] = ctx except Exception as e: logger.warning(f" ⚠️ Pre-scan fehlgeschlagen für {path}: {e}") # 2. Schritt: Batch-Verarbeitung (Explicit Authority) processed_count = 0 success_count = 0 for p in file_paths: processed_count += 1 res = await self.process_file(p, vault_root, apply=True, purge_before=True) if res.get("status") == "success": success_count += 1 logger.info(f"--- ✅ Batch Phase 1 abgeschlossen ({success_count}/{processed_count}) ---") return { "status": "success", "processed": processed_count, "success": success_count, "buffered_symmetries": len(self.symmetry_buffer) } async def commit_vault_symmetries(self) -> Dict[str, Any]: """ WP-24c: Globale Symmetrie-Injektion (Phase 2). Prüft gepufferte Kanten gegen die Instance-of-Truth in Qdrant. """ if not self.symmetry_buffer: logger.info("⏭️ Symmetrie-Puffer leer.") return {"status": "skipped", "reason": "buffer_empty"} logger.info(f"🔄 PHASE 2: Validiere {len(self.symmetry_buffer)} Symmetrien gegen Live-DB...") final_virtuals = [] for v_edge in self.symmetry_buffer: if not v_edge.get("target_id") or v_edge.get("target_id") == "None": continue v_id = _mk_edge_id(v_edge["kind"], v_edge["note_id"], v_edge["target_id"], v_edge.get("scope", "note")) # Schutz der Nutzer-Autorität if not is_explicit_edge_present(self.client, self.prefix, v_id): final_virtuals.append(v_edge) logger.info(f" 🔄 [SYMMETRY] Add inverse: {v_edge['note_id']} --({v_edge['kind']})--> {v_edge['target_id']}") else: logger.debug(f" 🛡️ Schutz: Manuelle Kante belegt ID {v_id}. Symmetrie verworfen.") if final_virtuals: e_pts = points_for_edges(self.prefix, final_virtuals)[1] # wait=True garantiert, dass der nächste Lauf diese Kanten sofort sieht upsert_batch(self.client, f"{self.prefix}_edges", e_pts, wait=True) added = len(final_virtuals) self.symmetry_buffer.clear() return {"status": "success", "added": added} async def process_file(self, file_path: str, vault_root: str, **kwargs) -> Dict[str, Any]: """ Transformiert eine Note. Implementiert strikte ID-Kanonisierung und Pydantic-Safety. """ apply = kwargs.get("apply", False) force_replace = kwargs.get("force_replace", False) purge_before = kwargs.get("purge_before", False) result = {"path": file_path, "status": "skipped", "changed": False, "error": None} try: # Ordner-Filter if any(part.startswith('.') for part in file_path.split(os.sep)): return {**result, "status": "skipped", "reason": "hidden_folder"} ingest_cfg = self.registry.get("ingestion_settings", {}) ignore_folders = ingest_cfg.get("ignore_folders", [".trash", ".obsidian", "templates"]) if any(folder in file_path for folder in ignore_folders): return {**result, "status": "skipped", "reason": "folder_blacklist"} parsed = read_markdown(file_path) if not parsed: return {**result, "error": "Empty file"} fm = normalize_frontmatter(parsed.frontmatter) validate_required_frontmatter(fm) note_type = resolve_note_type(self.registry, fm.get("type")) note_pl = make_note_payload(parsed, vault_root=vault_root, file_path=file_path, types_cfg=self.registry) note_id = note_pl.get("note_id") # --- HARD GUARD: Verhindert Pydantic-Crashes bei unvollständigen Notizen --- if not note_id or note_id == "None": logger.warning(f" ⚠️ Ungültige note_id in '{file_path}'. Überspringe.") return {**result, "status": "error", "error": "invalid_note_id"} logger.info(f"📄 Bearbeite: '{note_id}' (Typ: {note_type})") # Change Detection old_payload = None if force_replace else fetch_note_payload(self.client, self.prefix, note_id) c_miss, e_miss = artifacts_missing(self.client, self.prefix, note_id) if not (force_replace or not old_payload or c_miss or e_miss): return {**result, "status": "unchanged", "note_id": note_id} if not apply: return {**result, "status": "dry-run", "changed": True, "note_id": note_id} # LLM Validierung (Expert-MoE) profile = note_pl.get("chunk_profile", "sliding_standard") chunk_cfg = get_chunk_config_by_profile(self.registry, profile, note_type) enable_smart = chunk_cfg.get("enable_smart_edge_allocation", False) chunks = await assemble_chunks(note_id, getattr(parsed, "body", ""), note_type, config=chunk_cfg) for ch in chunks: new_pool = [] for cand in getattr(ch, "candidate_pool", []): t_id = cand.get('target_id') or cand.get('note_id') if not self._is_valid_note_id(t_id): continue if cand.get("provenance") == "global_pool" and enable_smart: # LLM Logging logger.info(f" ⚖️ [VALIDATING] Relation to '{t_id}' via Expert-LLM...") is_valid = await validate_edge_candidate(ch.text, cand, self.batch_cache, self.llm) logger.info(f" 🧠 [SMART EDGE] {t_id} -> {'✅ OK' if is_valid else '❌ SKIP'}") if is_valid: new_pool.append(cand) else: new_pool.append(cand) ch.candidate_pool = new_pool chunk_pls = make_chunk_payloads(fm, note_pl["path"], chunks, file_path=file_path, types_cfg=self.registry) vecs = await self.embedder.embed_documents([c.get("window") or "" for c in chunk_pls]) if chunk_pls else [] # --- KANTEN-LOGIK MIT STRIKTER KANONISIERUNG (FIX FÜR STEINZEITAXT) --- raw_edges = build_edges_for_note(note_id, chunk_pls, note_level_references=note_pl.get("references", [])) explicit_edges = [] for e in raw_edges: target_raw = e.get("target_id") t_ctx = self.batch_cache.get(target_raw) # Wenn das Ziel nicht im Cache ist, haben wir keine stabile note_id -> Überspringen (Ghost-ID Schutz) if not t_ctx: logger.debug(f" ⚠️ Linkziel '{target_raw}' nicht im Cache. Überspringe Kante.") continue target_id = t_ctx.note_id if not self._is_valid_note_id(target_id): continue resolved_kind = edge_registry.resolve(e.get("kind", "related_to"), provenance=e.get("provenance", "explicit")) # Echte physische Kante markieren (Phase 1) e.update({ "kind": resolved_kind, "target_id": target_id, "origin_note_id": note_id, "virtual": False, "confidence": 1.0 }) explicit_edges.append(e) # Symmetrie puffern inv_kind = edge_registry.get_inverse(resolved_kind) if inv_kind and target_id != note_id: v_edge = e.copy() v_edge.update({ "note_id": target_id, "target_id": note_id, "kind": inv_kind, "virtual": True, "provenance": "structure", "confidence": 1.0, "origin_note_id": note_id }) self.symmetry_buffer.append(v_edge) # 4. DB Commit (Phase 1) if purge_before and old_payload: purge_artifacts(self.client, self.prefix, note_id) n_name, n_pts = points_for_note(self.prefix, note_pl, None, self.dim) upsert_batch(self.client, n_name, n_pts) if chunk_pls and vecs: upsert_batch(self.client, f"{self.prefix}_chunks", points_for_chunks(self.prefix, chunk_pls, vecs)[1]) if explicit_edges: # WICHTIG: wait=True für Phase-1 Konsistenz upsert_batch(self.client, f"{self.prefix}_edges", points_for_edges(self.prefix, explicit_edges)[1], wait=True) logger.info(f" ✨ Phase 1 fertig: {len(chunk_pls)} Chunks, {len(explicit_edges)} explizite Kanten.") return {"status": "success", "note_id": note_id, "edges_count": len(explicit_edges)} except Exception as e: logger.error(f"❌ Fehler bei {file_path}: {e}", exc_info=True) return {**result, "status": "error", "error": str(e)} async def create_from_text(self, markdown_content: str, filename: str, vault_root: str, folder: str = "00_Inbox") -> Dict[str, Any]: """Erstellt eine Note aus einem Textstream.""" target_path = os.path.join(vault_root, folder, filename) os.makedirs(os.path.dirname(target_path), exist_ok=True) with open(target_path, "w", encoding="utf-8") as f: f.write(markdown_content) await asyncio.sleep(0.1) return await self.process_file(file_path=target_path, vault_root=vault_root, apply=True, force_replace=True, purge_before=True)