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Refactor code structure for improved readability and maintainability

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bsiggel
2026-03-26 22:24:07 +00:00
parent 9b2fb5ae4a
commit 1cd8de8574
10 changed files with 265 additions and 1313 deletions
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2
pyproject.toml
View File

@@ -3,7 +3,7 @@ name = "motia-iii-example-python"
version = "0.0.1"
description = "Motia iii Example - Python Implementation"
authors = [{ name = "III" }]
requires-python = ">=3.10"
requires-python = ">=3.12"
dependencies = [
"motia[otel]==1.0.0rc24",

557
services/aiknowledge_sync_utils.py
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@@ -1,557 +0,0 @@
"""
AI Knowledge Sync Utilities
Provider-agnostische Sync-Logik fuer CAIKnowledge Entities.
Unterstuetzt:
- aiProvider = "xai" → XAIService (Collections API)
- aiProvider = "ragflow" → RAGFlowService (Dataset API)
Lifecycle:
new → Dataset/Collection erstellen → active
active → Dokumente syncen
paused → kein Sync, kein Delete
deactivated → Dataset/Collection loeschen, Junction zuruecksetzen
Change Detection:
- Blake3-Hash in EspoCRM (CDokumente.blake3hash) als primaere Quelle
- Bei xAI: blake3hash == xaiBlake3Hash → kein Re-Upload
- Bei RAGFlow: blake3hash == junction.syncedHash → kein Re-Upload
metadata-hash → nur meta_fields update noetig
"""
from __future__ import annotations
import hashlib
import mimetypes
from datetime import datetime
from typing import Any, Dict, List, Optional, Tuple
from urllib.parse import unquote
import pytz
from services.models import (
AIKnowledgeActivationStatus,
AIKnowledgeSyncStatus,
JunctionSyncStatus,
)
from services.sync_utils_base import BaseSyncUtils
from services.config import SYNC_CONFIG
def _compute_metadata_hash(doc: Dict[str, Any]) -> str:
"""Berechnet einen deterministischen Hash der Dokument-Metadaten."""
parts = [
doc.get('name', ''),
doc.get('beschreibung', '') or '',
doc.get('advowareArt', '') or '',
doc.get('advowareBemerkung', '') or '',
]
return hashlib.md5('|'.join(parts).encode()).hexdigest()
class AIKnowledgeSyncUtils(BaseSyncUtils):
"""
Provider-agnostische Sync-Utilities fuer CAIKnowledge.
Verwendung im Step:
sync = AIKnowledgeSyncUtils(espocrm, redis_client, ctx)
await sync.run_sync(knowledge_id)
"""
def _get_lock_key(self, entity_id: str) -> str:
return f"sync_lock:aiknowledge:{entity_id}"
async def acquire_sync_lock(self, entity_id: str, **kwargs) -> bool:
"""Redis-Lock + syncStatus → pending_sync."""
lock_key = self._get_lock_key(entity_id)
if not self._acquire_redis_lock(lock_key):
self._log(f"⏸️ Lock aktiv fuer CAIKnowledge {entity_id}", level='warn')
return False
try:
await self.espocrm.update_entity('CAIKnowledge', entity_id, {
'syncStatus': AIKnowledgeSyncStatus.PENDING_SYNC.value
})
except Exception as e:
self._log(f"syncStatus update fehlgeschlagen: {e}", level='debug')
return True
async def release_sync_lock(
self,
entity_id: str,
success: bool = True,
error_message: Optional[str] = None,
extra_fields: Optional[Dict[str, Any]] = None,
**kwargs,
) -> None:
"""Redis-Lock freigeben + finaler syncStatus."""
now = self._get_espocrm_datetime()
update: Dict[str, Any] = {
'syncStatus': (
AIKnowledgeSyncStatus.SYNCED.value
if success
else AIKnowledgeSyncStatus.FAILED.value
),
'lastSync': now,
}
if error_message:
update['syncError'] = error_message[:2000]
else:
update['syncError'] = None
if extra_fields:
update.update(extra_fields)
try:
await self.espocrm.update_entity('CAIKnowledge', entity_id, update)
except Exception as e:
self._log(f"release_sync_lock update failed: {e}", level='error')
finally:
self._release_redis_lock(self._get_lock_key(entity_id))
# =========================================================
# Main Entry Point
# =========================================================
async def run_sync(self, knowledge_id: str) -> None:
"""
Vollstaendiger Sync-Durchlauf fuer eine CAIKnowledge-Entity.
1. Entity laden + Lock acquieren
2. Provider bestimmen (xai / ragflow)
3. Lifecycle-Action:
- new → Dataset/Collection erstellen
- active → Dokumente syncen
- paused → nichts tun
- deactivated → Dataset/Collection loeschen
"""
self._log("=" * 70)
self._log(f"🔄 AI KNOWLEDGE SYNC START: {knowledge_id}")
self._log("=" * 70)
# 1. Entity laden
try:
entity = await self.espocrm.get_entity('CAIKnowledge', knowledge_id)
except Exception as e:
self._log(f"❌ Entity laden fehlgeschlagen: {e}", level='error')
return
name = entity.get('name', knowledge_id)
activation = entity.get('activationStatus', AIKnowledgeActivationStatus.NEW.value)
sync_status = entity.get('syncStatus', AIKnowledgeSyncStatus.UNCLEAN.value)
provider = entity.get('aiProvider', 'xai')
dataset_id = entity.get('datenbankId')
self._log(f"📋 Entity: {name}")
self._log(f" activationStatus: {activation}")
self._log(f" syncStatus : {sync_status}")
self._log(f" aiProvider : {provider}")
self._log(f" datenbankId : {dataset_id or 'N/A'}")
# Pausiert → nichts tun
if activation == AIKnowledgeActivationStatus.PAUSED.value:
self._log("⏸️ PAUSED – kein Sync")
await self.espocrm.update_entity('CAIKnowledge', knowledge_id, {
'syncStatus': AIKnowledgeSyncStatus.SYNCED.value
})
return
# Lock acquieren
acquired = await self.acquire_sync_lock(knowledge_id)
if not acquired:
return
try:
# 2. Provider-Service instanziieren
ai = self._build_provider(provider)
# 3. Lifecycle
if activation == AIKnowledgeActivationStatus.NEW.value:
dataset_id = await self._handle_new(knowledge_id, entity, ai)
if not dataset_id:
await self.release_sync_lock(
knowledge_id, success=False,
error_message="Dataset/Collection erstellen fehlgeschlagen"
)
return
# Status wechselt zu active → nochmal syncen
activation = AIKnowledgeActivationStatus.ACTIVE.value
if activation == AIKnowledgeActivationStatus.ACTIVE.value:
error = await self._handle_active(knowledge_id, entity, dataset_id, ai, provider)
if error:
await self.release_sync_lock(knowledge_id, success=False, error_message=error)
return
elif activation == AIKnowledgeActivationStatus.DEACTIVATED.value:
await self._handle_deactivated(knowledge_id, entity, dataset_id, ai)
await self.release_sync_lock(knowledge_id, success=True)
self._log(f"✅ AI KNOWLEDGE SYNC DONE: {name}")
except Exception as e:
self._log(f"❌ Unerwarteter Fehler: {e}", level='error')
await self.release_sync_lock(knowledge_id, success=False, error_message=str(e))
# =========================================================
# Lifecycle: NEW
# =========================================================
async def _handle_new(
self,
knowledge_id: str,
entity: Dict[str, Any],
ai,
) -> Optional[str]:
"""Erstellt Dataset/Collection und aktualisiert datenbankId + activationStatus."""
name = entity.get('name', knowledge_id)
self._log(f"🆕 NEW → Dataset erstellen: {name}")
try:
result = await ai.ensure_dataset(name=name, description=f"CAIKnowledge: {name}")
dataset_id = result['id']
await self.espocrm.update_entity('CAIKnowledge', knowledge_id, {
'datenbankId': dataset_id,
'activationStatus': AIKnowledgeActivationStatus.ACTIVE.value,
'syncStatus': AIKnowledgeSyncStatus.UNCLEAN.value,
})
self._log(f"✅ Dataset erstellt: {dataset_id} → activationStatus=active")
return dataset_id
except Exception as e:
self._log(f"❌ Dataset erstellen fehlgeschlagen: {e}", level='error')
return None
# =========================================================
# Lifecycle: ACTIVE
# =========================================================
async def _handle_active(
self,
knowledge_id: str,
entity: Dict[str, Any],
dataset_id: str,
ai,
provider: str,
) -> Optional[str]:
"""
Synchronisiert alle verknuepften Dokumente.
Returns:
Fehlermeldung (str) oder None bei Erfolg.
"""
if not dataset_id:
return "datenbankId fehlt – Dataset wurde noch nicht erstellt"
# Alle verknuepften Dokumente laden (Junction: CAIKnowledgeCDokumente)
self._log(f"📋 Lade verknuepfte Dokumente fuer {knowledge_id}…")
try:
junction_entries = await self.espocrm.list_related_all(
'CAIKnowledge', knowledge_id, 'dokumentes'
)
except Exception as e:
return f"Junction laden fehlgeschlagen: {e}"
self._log(f" {len(junction_entries)} Dokument(e) verknuepft")
# Remotedokumente holen (fuer Orphan-Detection)
try:
remote_docs = await ai.list_documents(dataset_id)
remote_ids: set = {d['id'] for d in remote_docs if d.get('id')}
except Exception:
remote_ids = set()
synced_remote_ids: set = set()
has_error = False
for junction in junction_entries:
doc_id = junction.get('id')
ok = await self._sync_single_document(
doc_id, junction, knowledge_id, dataset_id, ai, provider, synced_remote_ids
)
if not ok:
has_error = True
# Orphan-Detection: remote Dokumente ohne Junction → loeschen
orphans = remote_ids - synced_remote_ids
if orphans:
self._log(f"🧹 Orphan-Cleanup: {len(orphans)} Dokument(e) ohne Junction")
for orphan_id in orphans:
try:
await ai.remove_document(dataset_id, orphan_id)
self._log(f" 🗑️ Orphan geloescht: {orphan_id}")
except Exception as e:
self._log(f" ⚠️ Orphan cleanup fehlgeschlagen ({orphan_id}): {e}", level='warn')
if has_error:
return "Einige Dokumente konnten nicht synchroisert werden (Partial Failure)"
return None
async def _sync_single_document(
self,
doc_id: str,
junction: Dict[str, Any],
knowledge_id: str,
dataset_id: str,
ai,
provider: str,
synced_remote_ids: set,
) -> bool:
"""
Synchronisiert ein einzelnes Dokument.
Entscheidungslogik:
- junction.syncstatus == 'synced' UND Hash unveraendert UND
Metadata-Hash unveraendert → Skip
- junction.syncstatus in ('new', 'unclean', 'failed') → Upload/Update
- Kein Attachment → 'unsupported'
Returns:
True bei Erfolg/Skip, False bei Fehler
"""
doc_name = junction.get('name', doc_id)
junction_status = junction.get('syncstatus', JunctionSyncStatus.NEW.value)
ai_doc_id = junction.get('aiDocumentId') # RAGFlow doc ID / xAI file ID
synced_hash = junction.get('syncedHash')
synced_meta_hash = junction.get('syncedMetadataHash')
blake3_hash = junction.get('blake3hash') # EspoCRM berechnet
self._log(f"\n 📄 {doc_name} (junction_status={junction_status})")
# Metadaten-Hash berechnen
current_meta_hash = _compute_metadata_hash(junction)
# Skip-Pruefung: synced + Hash unveraendert
if junction_status == JunctionSyncStatus.SYNCED.value and ai_doc_id:
file_unchanged = (synced_hash and blake3_hash and synced_hash == blake3_hash)
meta_unchanged = (synced_meta_hash == current_meta_hash)
if file_unchanged and meta_unchanged:
self._log(f" ✅ Unveraendert – Skip")
synced_remote_ids.add(ai_doc_id)
return True
if file_unchanged and not meta_unchanged:
# Nur Metadaten aendern (kein Re-Upload)
return await self._update_metadata_only(
doc_id, junction, ai_doc_id, dataset_id,
current_meta_hash, ai, provider, synced_remote_ids
)
# Upload (neu oder geaendert)
return await self._upload_document(
doc_id, junction, knowledge_id, dataset_id,
current_meta_hash, blake3_hash, ai_doc_id, ai, provider, synced_remote_ids
)
async def _upload_document(
self,
doc_id: str,
junction: Dict[str, Any],
knowledge_id: str,
dataset_id: str,
current_meta_hash: str,
blake3_hash: Optional[str],
old_ai_doc_id: Optional[str],
ai,
provider: str,
synced_remote_ids: set,
) -> bool:
doc_name = junction.get('name', doc_id)
attachment_id = junction.get('dokumentId') or junction.get('attachmentId')
if not attachment_id:
self._log(f" ⚠️ Kein Attachment – unsupported")
await self._update_junction(doc_id, knowledge_id, {
'syncstatus': JunctionSyncStatus.UNSUPPORTED.value,
'lastSync': self._get_espocrm_datetime(),
})
return True # kein Fehler, nur unsupported
# MIME-Type ermitteln
filename = unquote(junction.get('dokumentName') or junction.get('name') or 'document.bin')
mime_type, _ = mimetypes.guess_type(filename)
if not mime_type:
mime_type = 'application/octet-stream'
# MIME-Type Support pruefen
if not ai.is_mime_type_supported(mime_type):
self._log(f" ⚠️ MIME-Type nicht unterstuetzt: {mime_type} – unsupported")
await self._update_junction(doc_id, knowledge_id, {
'syncstatus': JunctionSyncStatus.UNSUPPORTED.value,
'lastSync': self._get_espocrm_datetime(),
})
return True
# Datei von EspoCRM herunterladen
try:
self._log(f" 📥 Downloading {filename} ({attachment_id})…")
file_content = await self.espocrm.download_attachment(attachment_id)
self._log(f" Downloaded {len(file_content)} bytes")
except Exception as e:
self._log(f" ❌ Download fehlgeschlagen: {e}", level='error')
await self._update_junction(doc_id, knowledge_id, {
'syncstatus': JunctionSyncStatus.FAILED.value,
'lastSync': self._get_espocrm_datetime(),
})
return False
# Altes Dokument im Provider loeschen (bei Update)
if old_ai_doc_id:
try:
await ai.remove_document(dataset_id, old_ai_doc_id)
self._log(f" 🗑️ Altes Dokument geloescht: {old_ai_doc_id}")
except Exception:
pass # Non-fatal
# Upload + Metadaten
try:
self._log(f" 📤 Uploading zu {provider}…")
result = await ai.upload_document(
dataset_id=dataset_id,
file_content=file_content,
filename=filename,
mime_type=mime_type,
blake3_hash=blake3_hash,
espocrm_id=doc_id,
description=junction.get('beschreibung') or junction.get('description') or '',
advoware_art=junction.get('advowareArt') or '',
advoware_bemerkung=junction.get('advowareBemerkung') or '',
)
new_ai_doc_id = result['id']
self._log(f" ✅ Upload OK: {new_ai_doc_id}")
except Exception as e:
self._log(f" ❌ Upload fehlgeschlagen: {e}", level='error')
await self._update_junction(doc_id, knowledge_id, {
'syncstatus': JunctionSyncStatus.FAILED.value,
'lastSync': self._get_espocrm_datetime(),
})
return False
synced_remote_ids.add(new_ai_doc_id)
# Junction aktualisieren
await self._update_junction(doc_id, knowledge_id, {
'aiDocumentId': new_ai_doc_id,
'syncstatus': JunctionSyncStatus.SYNCED.value,
'syncedHash': blake3_hash or '',
'syncedMetadataHash': current_meta_hash,
'lastSync': self._get_espocrm_datetime(),
})
return True
async def _update_metadata_only(
self,
doc_id: str,
junction: Dict[str, Any],
ai_doc_id: str,
dataset_id: str,
current_meta_hash: str,
ai,
provider: str,
synced_remote_ids: set,
) -> bool:
"""Nur Metadaten aktualisieren (kein Re-Upload der Datei)."""
self._log(f" ✏️ Nur Metadaten aendern (kein Re-Upload)")
synced_remote_ids.add(ai_doc_id)
try:
await ai.update_document_meta(
dataset_id=dataset_id,
doc_id=ai_doc_id,
description=junction.get('beschreibung') or junction.get('description') or '',
advoware_art=junction.get('advowareArt') or '',
advoware_bemerkung=junction.get('advowareBemerkung') or '',
)
await self._update_junction(doc_id, junction.get('__knowledge_id__', ''), {
'syncedMetadataHash': current_meta_hash,
'lastSync': self._get_espocrm_datetime(),
})
self._log(f" ✅ Metadaten aktualisiert")
return True
except Exception as e:
self._log(f" ⚠️ Metadaten-Update fehlgeschlagen: {e}", level='warn')
# Non-fatal: Datei ist noch synced, Metadaten kommen beim naechsten Sync
return True
# =========================================================
# Lifecycle: DEACTIVATED
# =========================================================
async def _handle_deactivated(
self,
knowledge_id: str,
entity: Dict[str, Any],
dataset_id: Optional[str],
ai,
) -> None:
"""Loescht Dataset/Collection und setzt alle Junctions zurueck."""
self._log(f"🔴 DEACTIVATED → Dataset loeschen")
if dataset_id:
try:
await ai.delete_dataset(dataset_id)
self._log(f"✅ Dataset geloescht: {dataset_id}")
except Exception as e:
self._log(f"⚠️ Dataset loeschen fehlgeschlagen: {e}", level='warn')
# datenbankId leeren
await self.espocrm.update_entity('CAIKnowledge', knowledge_id, {
'datenbankId': None,
})
# Alle Junction-Eintraege zuruecksetzen
try:
junctions = await self.espocrm.list_related_all(
'CAIKnowledge', knowledge_id, 'dokumentes'
)
for j in junctions:
await self._update_junction(j['id'], knowledge_id, {
'aiDocumentId': None,
'syncstatus': JunctionSyncStatus.NEW.value,
'syncedHash': None,
'syncedMetadataHash': None,
'lastSync': None,
})
self._log(f"✅ {len(junctions)} Junction(s) zurueckgesetzt")
except Exception as e:
self._log(f"⚠️ Junction-Reset fehlgeschlagen: {e}", level='warn')
# =========================================================
# Provider Factory
# =========================================================
def _build_provider(self, provider: str):
"""
Gibt den passenden AI-Provider-Service zurueck.
xai → XAIProviderAdapter (wrapt XAIService auf Provider-Interface)
ragflow → RAGFlowService (implementiert Interface nativ)
"""
if provider == 'ragflow':
from services.ragflow_service import RAGFlowService
return RAGFlowService(ctx=self.context)
else:
# Default: xAI
from services.xai_upload_utils import XAIProviderAdapter
return XAIProviderAdapter(self.context)
# =========================================================
# EspoCRM Helpers
# =========================================================
async def _update_junction(
self,
doc_id: str,
knowledge_id: str,
fields: Dict[str, Any],
) -> None:
"""
Aktualisiert einen CAIKnowledgeCDokumente Junction-Eintrag.
EspoCRM junction additional columns werden ueber den Relationship-
Endpunkt aktualisiert: PUT /CAIKnowledge/{id}/dokumentes/{docId}
"""
try:
await self.espocrm.api_call(
f"/CAIKnowledge/{knowledge_id}/dokumentes/{doc_id}",
method='PUT',
json_data=fields,
)
except Exception as e:
self._log(f"⚠️ Junction-Update fehlgeschlagen ({doc_id}): {e}", level='warn')

8
src/steps/advoware_docs/filesystem_webhook_step.py
View File

@@ -49,7 +49,7 @@ async def handler(request: ApiRequest, ctx: FlowContext) -> ApiResponse:
ctx.logger.error("❌ Invalid auth token")
ctx.logger.error(f" Expected: Bearer {expected_token[:10]}...")
ctx.logger.error(f" Received: {auth_header[:30]}...")
return ApiResponse(status_code=401, body={"error": "Unauthorized"})
return ApiResponse(status=401, body={"error": "Unauthorized"})
ctx.logger.info("✅ Auth-Token valid")
@@ -75,7 +75,7 @@ async def handler(request: ApiRequest, ctx: FlowContext) -> ApiResponse:
if not aktennummer:
ctx.logger.error("❌ Missing 'aktennummer' in payload")
return ApiResponse(status_code=400, body={"error": "Missing aktennummer"})
return ApiResponse(status=400, body={"error": "Missing aktennummer"})
ctx.logger.info(f"📂 Aktennummer: {aktennummer}")
ctx.logger.info(f"⏰ Timestamp: {timestamp}")
@@ -114,7 +114,7 @@ async def handler(request: ApiRequest, ctx: FlowContext) -> ApiResponse:
ctx.logger.info("=" * 80)
return ApiResponse(
status_code=200,
status=200,
body={
"success": True,
"aktennummer": aktennummer,
@@ -136,7 +136,7 @@ async def handler(request: ApiRequest, ctx: FlowContext) -> ApiResponse:
ctx.logger.error(traceback.format_exc())
return ApiResponse(
status_code=500,
status=500,
body={
"success": False,
"error": str(e),

236
src/steps/crm/akte/akte_sync_event_step.py
View File

@@ -76,26 +76,28 @@ async def handler(event_data: Dict[str, Any], ctx: FlowContext) -> None:
sync_schalter = akte.get('syncSchalter', False)
aktivierungsstatus = str(akte.get('aktivierungsstatus') or '').lower()
ai_aktivierungsstatus = str(akte.get('aiAktivierungsstatus') or '').lower()
ai_provider = str(akte.get('aiProvider') or 'xAI')
ctx.logger.info(f"📋 Akte '{akte.get('name')}'")
ctx.logger.info(f" syncSchalter : {sync_schalter}")
ctx.logger.info(f" aktivierungsstatus : {aktivierungsstatus}")
ctx.logger.info(f" aiAktivierungsstatus : {ai_aktivierungsstatus}")
ctx.logger.info(f" aiProvider : {ai_provider}")
# Advoware sync requires an aktennummer (Akten without Advoware won't have one)
advoware_enabled = bool(aktennummer) and sync_schalter and aktivierungsstatus in VALID_ADVOWARE_STATUSES
xai_enabled = ai_aktivierungsstatus in VALID_AI_STATUSES
ai_enabled = ai_aktivierungsstatus in VALID_AI_STATUSES
ctx.logger.info(f" Advoware sync : {'✅ ON' if advoware_enabled else '⏭️ OFF'}")
ctx.logger.info(f" xAI sync : {'✅ ON' if xai_enabled else '⏭️ OFF'}")
ctx.logger.info(f" AI sync ({ai_provider}) : {'✅ ON' if ai_enabled else '⏭️ OFF'}")
if not advoware_enabled and not xai_enabled:
if not advoware_enabled and not ai_enabled:
ctx.logger.info("⏭️ Both syncs disabled – nothing to do")
return
# ── Load CDokumente once (shared by Advoware + xAI sync) ─────────────────
espo_docs: list = []
if advoware_enabled or xai_enabled:
if advoware_enabled or ai_enabled:
espo_docs = await espocrm.list_related_all('CAkten', akte_id, 'dokumentes')
# ── ADVOWARE SYNC ────────────────────────────────────────────
@@ -103,9 +105,12 @@ async def handler(event_data: Dict[str, Any], ctx: FlowContext) -> None:
if advoware_enabled:
advoware_results = await _run_advoware_sync(akte, aktennummer, akte_id, espocrm, ctx, espo_docs)
# ── xAI SYNC ────────────────────────────────────────────────
if xai_enabled:
await _run_xai_sync(akte, akte_id, espocrm, ctx, espo_docs)
# ── AI SYNC (xAI or RAGflow) ─────────────────────────────────
if ai_enabled:
if ai_provider.lower() == 'ragflow':
await _run_ragflow_sync(akte, akte_id, espocrm, ctx, espo_docs)
else:
await _run_xai_sync(akte, akte_id, espocrm, ctx, espo_docs)
# ── Final Status ───────────────────────────────────────────────────
now = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
@@ -117,10 +122,10 @@ async def handler(event_data: Dict[str, Any], ctx: FlowContext) -> None:
if aktivierungsstatus == 'import':
final_update['aktivierungsstatus'] = 'active'
ctx.logger.info("🔄 aktivierungsstatus: import → active")
if xai_enabled:
if ai_enabled:
final_update['aiSyncStatus'] = 'synced'
final_update['aiLastSync'] = now
# 'new' = Collection wurde gerade erstmalig angelegt → auf 'aktiv' setzen
# 'new' = Dataset/Collection erstmalig angelegt → auf 'aktiv' setzen
if ai_aktivierungsstatus == 'new':
final_update['aiAktivierungsstatus'] = 'active'
ctx.logger.info("🔄 aiAktivierungsstatus: new → active")
@@ -483,3 +488,216 @@ async def _run_xai_sync(
finally:
await xai.close()
# ─────────────────────────────────────────────────────────────────────────────
# RAGflow sync
# ─────────────────────────────────────────────────────────────────────────────
async def _run_ragflow_sync(
akte: Dict[str, Any],
akte_id: str,
espocrm,
ctx: FlowContext,
docs: list,
) -> None:
from services.ragflow_service import RAGFlowService
from urllib.parse import unquote
import mimetypes
ragflow = RAGFlowService(ctx)
ctx.logger.info("")
ctx.logger.info("─" * 60)
ctx.logger.info("🧠 RAGflow SYNC")
ctx.logger.info("─" * 60)
ai_aktivierungsstatus = str(akte.get('aiAktivierungsstatus') or '').lower()
dataset_id = akte.get('aiCollectionId')
# ── Ensure dataset exists ─────────────────────────────────────────────
if not dataset_id:
if ai_aktivierungsstatus == 'new':
akte_name = akte.get('name') or f"Akte {akte.get('aktennummer', akte_id)}"
ctx.logger.info(f" Status 'new' → Erstelle neues RAGflow Dataset für '{akte_name}'...")
dataset_info = await ragflow.ensure_dataset(akte_name)
if not dataset_info or not dataset_info.get('id'):
ctx.logger.error("❌ RAGflow Dataset konnte nicht erstellt werden – Sync abgebrochen")
await espocrm.update_entity('CAkten', akte_id, {'aiSyncStatus': 'failed'})
return
dataset_id = dataset_info['id']
ctx.logger.info(f" ✅ Dataset erstellt: {dataset_id}")
await espocrm.update_entity('CAkten', akte_id, {'aiCollectionId': dataset_id})
else:
ctx.logger.error(
f"❌ aiAktivierungsstatus='{ai_aktivierungsstatus}' aber keine aiCollectionId – "
f"RAGflow Sync abgebrochen. Bitte Dataset-ID in EspoCRM eintragen."
)
await espocrm.update_entity('CAkten', akte_id, {'aiSyncStatus': 'failed'})
return
ctx.logger.info(f" Dataset-ID : {dataset_id}")
ctx.logger.info(f" EspoCRM docs: {len(docs)}")
# ── RAGflow-Bestand abrufen (source of truth) ─────────────────────────
# Lookup: espocrm_id → ragflow_doc (nur Docs die mit espocrm_id getaggt sind)
ragflow_by_espocrm_id: Dict[str, Any] = {}
try:
ragflow_docs = await ragflow.list_documents(dataset_id)
ctx.logger.info(f" RAGflow docs: {len(ragflow_docs)}")
for rd in ragflow_docs:
eid = rd.get('espocrm_id')
if eid:
ragflow_by_espocrm_id[eid] = rd
except Exception as e:
ctx.logger.error(f"❌ RAGflow Dokumentenliste nicht abrufbar: {e}")
await espocrm.update_entity('CAkten', akte_id, {'aiSyncStatus': 'failed'})
return
# ── Orphan-Cleanup: RAGflow-Docs die kein EspoCRM-Äquivalent mehr haben ──
espocrm_ids_set = {d['id'] for d in docs}
for rd in ragflow_docs:
eid = rd.get('espocrm_id')
if eid and eid not in espocrm_ids_set:
try:
await ragflow.remove_document(dataset_id, rd['id'])
ctx.logger.info(f" 🗑️ Orphan gelöscht: {rd.get('name', rd['id'])} (espocrm_id={eid})")
except Exception as e:
ctx.logger.warn(f" ⚠️ Orphan-Delete fehlgeschlagen: {e}")
synced = 0
skipped = 0
failed = 0
for doc in docs:
doc_id = doc['id']
doc_name = doc.get('name', doc_id)
blake3_hash = doc.get('blake3hash') or ''
# Was ist aktuell in RAGflow für dieses Dokument?
ragflow_doc = ragflow_by_espocrm_id.get(doc_id)
ragflow_doc_id = ragflow_doc['id'] if ragflow_doc else None
ragflow_blake3 = ragflow_doc.get('blake3_hash', '') if ragflow_doc else ''
ragflow_meta = ragflow_doc.get('meta_fields', {}) if ragflow_doc else {}
# Aktuelle Metadaten aus EspoCRM
current_description = str(doc.get('beschreibung') or '')
current_advo_art = str(doc.get('advowareArt') or '')
current_advo_bemerk = str(doc.get('advowareBemerkung') or '')
content_changed = blake3_hash != ragflow_blake3
meta_changed = (
ragflow_meta.get('description', '') != current_description or
ragflow_meta.get('advoware_art', '') != current_advo_art or
ragflow_meta.get('advoware_bemerkung', '') != current_advo_bemerk
)
ctx.logger.info(f" 📄 {doc_name}")
ctx.logger.info(
f" in_ragflow={bool(ragflow_doc_id)}, "
f"content_changed={content_changed}, meta_changed={meta_changed}"
)
if ragflow_doc_id:
ctx.logger.info(
f" ragflow_blake3={ragflow_blake3[:12] if ragflow_blake3 else 'N/A'}..., "
f"espo_blake3={blake3_hash[:12] if blake3_hash else 'N/A'}..."
)
if not ragflow_doc_id and not content_changed and not meta_changed and not blake3_hash:
# Kein Attachment-Hash vorhanden und noch nie in RAGflow → unsupported
ctx.logger.info(f" ⏭️ Kein Blake3-Hash – übersprungen")
skipped += 1
continue
attachment_id = doc.get('dokumentId')
if not attachment_id:
ctx.logger.warn(f" ⚠️ Kein Attachment (dokumentId fehlt) – unsupported")
await espocrm.update_entity('CDokumente', doc_id, {
'aiSyncStatus': 'unsupported',
'aiLastSync': datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
})
skipped += 1
continue
filename = unquote(doc.get('dokumentName') or doc.get('name') or 'document.bin')
mime_type, _ = mimetypes.guess_type(filename)
if not mime_type:
mime_type = 'application/octet-stream'
try:
if ragflow_doc_id and not content_changed and meta_changed:
# ── Nur Metadaten aktualisieren ───────────────────────────
ctx.logger.info(f" 🔄 Metadata-Update für {ragflow_doc_id}…")
await ragflow.update_document_meta(
dataset_id, ragflow_doc_id,
blake3_hash=blake3_hash,
description=current_description,
advoware_art=current_advo_art,
advoware_bemerkung=current_advo_bemerk,
)
new_ragflow_id = ragflow_doc_id
elif ragflow_doc_id and not content_changed and not meta_changed:
# ── Vollständig unverändert → Skip ────────────────────────
ctx.logger.info(f" ✅ Unverändert – kein Re-Upload")
# Tracking-Felder in EspoCRM aktuell halten
await espocrm.update_entity('CDokumente', doc_id, {
'aiFileId': ragflow_doc_id,
'aiCollectionId': dataset_id,
'aiSyncHash': blake3_hash,
'aiSyncStatus': 'synced',
})
skipped += 1
continue
else:
# ── Upload (neu oder Inhalt geändert) ─────────────────────
if ragflow_doc_id and content_changed:
ctx.logger.info(f" 🗑️ Inhalt geändert – altes Dokument löschen: {ragflow_doc_id}")
try:
await ragflow.remove_document(dataset_id, ragflow_doc_id)
except Exception:
pass
ctx.logger.info(f" 📥 Downloading {filename} ({attachment_id})…")
file_content = await espocrm.download_attachment(attachment_id)
ctx.logger.info(f" Downloaded {len(file_content)} bytes")
ctx.logger.info(f" 📤 Uploading '{filename}' ({mime_type})…")
result = await ragflow.upload_document(
dataset_id=dataset_id,
file_content=file_content,
filename=filename,
mime_type=mime_type,
blake3_hash=blake3_hash,
espocrm_id=doc_id,
description=current_description,
advoware_art=current_advo_art,
advoware_bemerkung=current_advo_bemerk,
)
if not result or not result.get('id'):
raise RuntimeError("upload_document gab kein Ergebnis zurück")
new_ragflow_id = result['id']
ctx.logger.info(f" ✅ RAGflow-ID: {new_ragflow_id}")
now_str = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
await espocrm.update_entity('CDokumente', doc_id, {
'aiFileId': new_ragflow_id,
'aiCollectionId': dataset_id,
'aiSyncHash': blake3_hash,
'aiSyncStatus': 'synced',
'aiLastSync': now_str,
})
synced += 1
except Exception as e:
ctx.logger.error(f" ❌ Fehlgeschlagen: {e}")
await espocrm.update_entity('CDokumente', doc_id, {
'aiSyncStatus': 'failed',
'aiLastSync': datetime.now().strftime('%Y-%m-%d %H:%M:%S'),
})
failed += 1
ctx.logger.info(f" ✅ Synced : {synced}")
ctx.logger.info(f" ⏭️ Skipped : {skipped}")
ctx.logger.info(f" ❌ Failed : {failed}")

6
src/steps/crm/akte/webhooks/akte_create_api_step.py
View File

@@ -31,7 +31,7 @@ async def handler(request: ApiRequest, ctx: FlowContext[Any]) -> ApiResponse:
if not entity_ids:
ctx.logger.warn("⚠️ No entity IDs in payload")
return ApiResponse(status_code=400, body={"error": "No entity ID found in payload"})
return ApiResponse(status=400, body={"error": "No entity ID found in payload"})
for eid in entity_ids:
await ctx.enqueue({'topic': 'akte.sync', 'data': {'akte_id': eid, 'aktennummer': None}})
@@ -39,8 +39,8 @@ async def handler(request: ApiRequest, ctx: FlowContext[Any]) -> ApiResponse:
ctx.logger.info(f"✅ Emitted akte.sync for {len(entity_ids)} ID(s): {entity_ids}")
ctx.logger.info("=" * 60)
return ApiResponse(status_code=200, body={"status": "received", "action": "create", "ids_count": len(entity_ids)})
return ApiResponse(status=200, body={"status": "received", "action": "create", "ids_count": len(entity_ids)})
except Exception as e:
ctx.logger.error(f"❌ Webhook error: {e}")
return ApiResponse(status_code=500, body={"error": str(e)})
return ApiResponse(status=500, body={"error": str(e)})

4
src/steps/crm/akte/webhooks/akte_delete_api_step.py
View File

@@ -31,8 +31,8 @@ async def handler(request: ApiRequest, ctx: FlowContext[Any]) -> ApiResponse:
ctx.logger.info(" → Kein Sync (Entität gelöscht)")
ctx.logger.info("=" * 60)
return ApiResponse(status_code=200, body={"status": "received", "action": "delete", "ids_count": len(entity_ids)})
return ApiResponse(status=200, body={"status": "received", "action": "delete", "ids_count": len(entity_ids)})
except Exception as e:
ctx.logger.error(f"❌ Webhook error: {e}")
return ApiResponse(status_code=500, body={"error": str(e)})
return ApiResponse(status=500, body={"error": str(e)})

6
src/steps/crm/akte/webhooks/akte_update_api_step.py
View File

@@ -31,7 +31,7 @@ async def handler(request: ApiRequest, ctx: FlowContext[Any]) -> ApiResponse:
if not entity_ids:
ctx.logger.warn("⚠️ No entity IDs in payload")
return ApiResponse(status_code=400, body={"error": "No entity ID found in payload"})
return ApiResponse(status=400, body={"error": "No entity ID found in payload"})
for eid in entity_ids:
await ctx.enqueue({'topic': 'akte.sync', 'data': {'akte_id': eid, 'aktennummer': None}})
@@ -39,8 +39,8 @@ async def handler(request: ApiRequest, ctx: FlowContext[Any]) -> ApiResponse:
ctx.logger.info(f"✅ Emitted akte.sync for {len(entity_ids)} ID(s): {entity_ids}")
ctx.logger.info("=" * 60)
return ApiResponse(status_code=200, body={"status": "received", "action": "update", "ids_count": len(entity_ids)})
return ApiResponse(status=200, body={"status": "received", "action": "update", "ids_count": len(entity_ids)})
except Exception as e:
ctx.logger.error(f"❌ Webhook error: {e}")
return ApiResponse(status_code=500, body={"error": str(e)})
return ApiResponse(status=500, body={"error": str(e)})

89
src/steps/crm/document/aiknowledge_daily_cron_step.py
View File

@@ -1,89 +0,0 @@
"""
AI Knowledge Daily Full Sync (Cron)
Laueft taeglich um 02:00 Uhr.
Laedt alle CAIKnowledge-Entities mit activationStatus='active'
und syncStatus IN ('unclean', 'failed') und stellt sicher,
dass sie synchroisiert sind.
Emits aiknowledge.sync fuer jede betroffene Entity.
"""
from typing import Any
from motia import FlowContext, cron
from services.espocrm import EspoCRMAPI
from services.logging_utils import get_step_logger
config = {
"name": "AI Knowledge Daily Cron",
"description": "Taeglich: Vollsync aller unclean/failed CAIKnowledge Entities",
"flows": ["vmh-aiknowledge"],
"triggers": [
cron("0 2 * * *"), # Taeglich 02:00 Uhr
],
"enqueues": ["aiknowledge.sync"],
}
async def handler(event_data: Any, ctx: FlowContext[Any]) -> None:
"""
Cron-Handler: Enqueued aiknowledge.sync fuer alle die Sync brauchen.
"""
step_logger = get_step_logger('aiknowledge_cron', ctx)
step_logger.info("=" * 70)
step_logger.info("⏰ AI KNOWLEDGE DAILY CRON START")
step_logger.info("=" * 70)
espocrm = EspoCRMAPI(ctx)
# Alle active KBs mit unclean oder failed Status
try:
result = await espocrm.list_entities(
'CAIKnowledge',
where=[
{
'type': 'equals',
'attribute': 'activationStatus',
'value': 'active',
},
{
'type': 'in',
'attribute': 'syncStatus',
'value': ['unclean', 'failed'],
},
],
max_size=200,
)
except Exception as e:
step_logger.error(f"❌ EspoCRM-Abfrage fehlgeschlagen: {e}")
return
entities = result.get('list', [])
total = result.get('total', len(entities))
step_logger.info(f"📋 {len(entities)}/{total} Entities brauchen Sync")
enqueued = 0
for entity in entities:
knowledge_id = entity.get('id')
name = entity.get('name', knowledge_id)
provider = entity.get('aiProvider', 'xai')
sync_status = entity.get('syncStatus', '?')
if not knowledge_id:
continue
step_logger.info(f" → Enqueue: {name} ({provider}, status={sync_status})")
await ctx.enqueue({
'topic': 'aiknowledge.sync',
'data': {
'knowledge_id': knowledge_id,
'source': 'cron',
'action': 'update',
},
})
enqueued += 1
step_logger.info(f"✅ {enqueued} Sync-Events enqueued")
step_logger.info("=" * 70)

64
src/steps/crm/document/aiknowledge_sync_event_step.py
View File

@@ -1,64 +0,0 @@
"""
AI Knowledge Sync Handler
Verarbeitet aiknowledge.sync Events (Queue).
Quellen:
- Webhook: EspoCRM CAIKnowledge.afterSave
- Cron: Taeglich 02:00 Uhr (Vollsync)
Lifecycle:
new → Dataset/Collection erstellen (xAI oder RAGFlow)
active → Dokumente syncen (Change Detection via Blake3)
paused → Skip
deactivated → Dataset/Collection loeschen
"""
from typing import Any, Dict
from motia import FlowContext, queue
from services.espocrm import EspoCRMAPI
from services.redis_client import get_redis_client
from services.aiknowledge_sync_utils import AIKnowledgeSyncUtils
from services.logging_utils import get_step_logger
config = {
"name": "AI Knowledge Sync Handler",
"description": "Synchronisiert CAIKnowledge Entities mit xAI oder RAGFlow",
"flows": ["vmh-aiknowledge"],
"triggers": [
queue("aiknowledge.sync"),
],
"enqueues": [],
}
async def handler(event_data: Dict[str, Any], ctx: FlowContext[Any]) -> None:
"""
Zentraler Sync-Handler fuer CAIKnowledge.
event_data:
knowledge_id (str) – EspoCRM CAIKnowledge ID
source (str) – 'webhook' | 'cron'
action (str) – 'create' | 'update'
"""
step_logger = get_step_logger('aiknowledge_sync', ctx)
knowledge_id = event_data.get('knowledge_id')
source = event_data.get('source', 'webhook')
action = event_data.get('action', 'update')
if not knowledge_id:
step_logger.error("❌ Kein knowledge_id im Event")
return
step_logger.info("=" * 70)
step_logger.info(f"🔄 AI KNOWLEDGE SYNC EVENT")
step_logger.info(f" ID : {knowledge_id}")
step_logger.info(f" Source: {source} | Action: {action}")
step_logger.info("=" * 70)
espocrm = EspoCRMAPI(ctx)
redis_client = get_redis_client(strict=False)
sync = AIKnowledgeSyncUtils(espocrm, redis_client, ctx)
await sync.run_sync(knowledge_id)

606
uv.lock generated
View File

@@ -1,6 +1,6 @@
version = 1
revision = 3
requires-python = ">=3.10"
requires-python = ">=3.12"
resolution-markers = [
"python_full_version >= '3.13'",
"python_full_version < '3.13'",
@@ -22,7 +22,6 @@ source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "aiohappyeyeballs" },
{ name = "aiosignal" },
{ name = "async-timeout", marker = "python_full_version < '3.11'" },
{ name = "attrs" },
{ name = "frozenlist" },
{ name = "multidict" },
@@ -31,40 +30,6 @@ dependencies = [
]
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