199 lines
9.2 KiB
Python
199 lines
9.2 KiB
Python
"""EspoCRM Webhook - Document Create
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Empfängt Create-Webhooks von EspoCRM für Documents.
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Loggt detailliert alle Payload-Informationen für Analyse.
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"""
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import json
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import datetime
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from typing import Any
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from motia import FlowContext, http, ApiRequest, ApiResponse
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config = {
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"name": "VMH Webhook Document Create",
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"description": "Empfängt Create-Webhooks von EspoCRM für Document Entities",
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"flows": ["vmh-documents"],
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"triggers": [
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http("POST", "/vmh/webhook/document/create")
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],
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"enqueues": ["vmh.document.create"],
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}
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async def handler(request: ApiRequest, ctx: FlowContext[Any]) -> ApiResponse:
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"""
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Webhook handler for Document creation in EspoCRM.
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Receives notifications when documents are created and emits queue events
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for processing (xAI sync, etc.).
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Payload Analysis Mode: Logs comprehensive details about webhook structure.
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"""
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try:
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payload = request.body or []
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# ═══════════════════════════════════════════════════════════════
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# DETAILLIERTES LOGGING FÜR ANALYSE
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# ═══════════════════════════════════════════════════════════════
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ctx.logger.info("=" * 80)
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ctx.logger.info("📥 EspoCRM DOCUMENT CREATE WEBHOOK EMPFANGEN")
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ctx.logger.info("=" * 80)
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# Log Request Headers
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ctx.logger.info("\n🔍 REQUEST HEADERS:")
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if hasattr(request, 'headers'):
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for key, value in request.headers.items():
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ctx.logger.info(f" {key}: {value}")
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else:
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ctx.logger.info(" (keine Headers verfügbar)")
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# Log Payload Type & Structure
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ctx.logger.info(f"\n📦 PAYLOAD TYPE: {type(payload).__name__}")
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ctx.logger.info(f"📦 PAYLOAD LENGTH: {len(payload) if isinstance(payload, (list, dict)) else 'N/A'}")
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# Log Full Payload (pretty-printed)
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ctx.logger.info("\n📄 FULL PAYLOAD:")
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ctx.logger.info(json.dumps(payload, indent=2, ensure_ascii=False))
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# ═══════════════════════════════════════════════════════════════
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# PAYLOAD ANALYSE & ID EXTRAKTION
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# ═══════════════════════════════════════════════════════════════
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entity_ids = set()
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payload_details = []
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if isinstance(payload, list):
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ctx.logger.info(f"\n✅ Payload ist LIST mit {len(payload)} Einträgen")
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for idx, entity in enumerate(payload):
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if isinstance(entity, dict):
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entity_id = entity.get('id')
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if entity_id:
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entity_ids.add(entity_id)
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# Sammle Details für Logging
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detail = {
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'index': idx,
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'id': entity_id,
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'name': entity.get('name', 'N/A'),
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'type': entity.get('type', 'N/A'),
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'size': entity.get('size', 'N/A'),
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'all_fields': list(entity.keys())
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}
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payload_details.append(detail)
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ctx.logger.info(f"\n 📄 Document #{idx + 1}:")
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ctx.logger.info(f" ID: {entity_id}")
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ctx.logger.info(f" Name: {entity.get('name', 'N/A')}")
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ctx.logger.info(f" Type: {entity.get('type', 'N/A')}")
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ctx.logger.info(f" Size: {entity.get('size', 'N/A')} bytes")
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ctx.logger.info(f" Verfügbare Felder: {', '.join(entity.keys())}")
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# xAI-relevante Felder (falls vorhanden)
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xai_fields = {k: v for k, v in entity.items()
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if 'xai' in k.lower() or 'collection' in k.lower()}
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if xai_fields:
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ctx.logger.info(f" 🤖 xAI-Felder: {json.dumps(xai_fields, ensure_ascii=False)}")
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# Parent/Relationship Felder
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rel_fields = {k: v for k, v in entity.items()
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if 'parent' in k.lower() or 'related' in k.lower() or
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'link' in k.lower() or k.endswith('Id') or k.endswith('Ids')}
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if rel_fields:
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ctx.logger.info(f" 🔗 Relationship-Felder: {json.dumps(rel_fields, ensure_ascii=False)}")
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elif isinstance(payload, dict):
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ctx.logger.info("\n✅ Payload ist SINGLE DICT")
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entity_id = payload.get('id')
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if entity_id:
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entity_ids.add(entity_id)
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ctx.logger.info(f"\n 📄 Document:")
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ctx.logger.info(f" ID: {entity_id}")
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ctx.logger.info(f" Name: {payload.get('name', 'N/A')}")
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ctx.logger.info(f" Type: {payload.get('type', 'N/A')}")
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ctx.logger.info(f" Size: {payload.get('size', 'N/A')} bytes")
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ctx.logger.info(f" Verfügbare Felder: {', '.join(payload.keys())}")
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# xAI-relevante Felder
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xai_fields = {k: v for k, v in payload.items()
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if 'xai' in k.lower() or 'collection' in k.lower()}
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if xai_fields:
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ctx.logger.info(f" 🤖 xAI-Felder: {json.dumps(xai_fields, ensure_ascii=False)}")
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# Relationship Felder
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rel_fields = {k: v for k, v in payload.items()
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if 'parent' in k.lower() or 'related' in k.lower() or
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'link' in k.lower() or k.endswith('Id') or k.endswith('Ids')}
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if rel_fields:
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ctx.logger.info(f" 🔗 Relationship-Felder: {json.dumps(rel_fields, ensure_ascii=False)}")
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else:
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ctx.logger.warning(f"⚠️ Unerwarteter Payload-Typ: {type(payload)}")
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# ═══════════════════════════════════════════════════════════════
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# QUEUE EVENTS EMITTIEREN
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# ═══════════════════════════════════════════════════════════════
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ctx.logger.info("\n" + "=" * 80)
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ctx.logger.info(f"📊 ZUSAMMENFASSUNG: {len(entity_ids)} Document(s) gefunden")
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ctx.logger.info("=" * 80)
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if not entity_ids:
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ctx.logger.warning("⚠️ Keine Document-IDs im Payload gefunden!")
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return ApiResponse(
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status=200,
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body={
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'status': 'received',
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'action': 'create',
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'ids_count': 0,
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'warning': 'No document IDs found in payload'
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}
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)
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# Emit events für Queue-Processing (Deduplizierung erfolgt im Event-Handler via Lock)
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for entity_id in entity_ids:
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await ctx.enqueue({
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'topic': 'vmh.document.create',
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'data': {
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'entity_id': entity_id,
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'action': 'create',
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'source': 'webhook',
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'timestamp': datetime.datetime.now().isoformat()
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}
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})
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ctx.logger.info(f"✅ Event emittiert: vmh.document.create für ID {entity_id}")
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ctx.logger.info("\n" + "=" * 80)
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ctx.logger.info(f"✅ WEBHOOK VERARBEITUNG ABGESCHLOSSEN")
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ctx.logger.info("=" * 80)
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return ApiResponse(
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status=200,
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body={
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'status': 'received',
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'action': 'create',
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'ids_count': len(entity_ids),
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'document_ids': list(entity_ids)
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}
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)
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except Exception as e:
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ctx.logger.error("=" * 80)
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ctx.logger.error(f"❌ FEHLER beim Verarbeiten des Document Create Webhooks")
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ctx.logger.error("=" * 80)
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ctx.logger.error(f"Error Type: {type(e).__name__}")
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ctx.logger.error(f"Error Message: {str(e)}")
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# Log Stack Trace
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import traceback
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ctx.logger.error(f"Stack Trace:\n{traceback.format_exc()}")
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return ApiResponse(
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status=500,
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body={
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'error': 'Internal server error',
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'error_type': type(e).__name__,
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'details': str(e)
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}
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)
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