bitbylaw
ebbbf419ee
- Added KommunikationSyncManager class to handle synchronization logic. - Implemented methods for loading data, computing diffs, and applying changes between Advoware and EspoCRM. - Introduced 3-way diffing mechanism to intelligently resolve conflicts. - Added helper methods for creating empty slots and detecting changes in communications. - Enhanced logging for better traceability during synchronization processes.
203 lines
7.2 KiB
Python
203 lines
7.2 KiB
Python
"""
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Detail-Analyse: emailAddressData und phoneNumberData Struktur
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Erkenntnisse:
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- CKommunikation Entity existiert NICHT in EspoCRM
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- CBeteiligte hat phoneNumberData und emailAddressData Arrays
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- PhoneNumber und EmailAddress Entities existieren (aber 403 Forbidden - nur intern)
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Jetzt: Analysiere die Data-Arrays im Detail
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"""
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import asyncio
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import json
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from services.espocrm import EspoCRMAPI
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TEST_BETEILIGTE_ID = '68e4af00172be7924'
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class SimpleContext:
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class Logger:
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def info(self, msg): print(f"[INFO] {msg}")
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def error(self, msg): print(f"[ERROR] {msg}")
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def warning(self, msg): print(f"[WARN] {msg}")
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def debug(self, msg): print(f"[DEBUG] {msg}")
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def __init__(self):
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self.logger = self.Logger()
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def print_section(title):
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print("\n" + "="*70)
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print(title)
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print("="*70)
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async def analyze_communication_data():
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"""Detaillierte Analyse der Communication-Data Felder"""
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print_section("DETAIL-ANALYSE: emailAddressData und phoneNumberData")
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context = SimpleContext()
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espo = EspoCRMAPI(context)
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# Hole Beteiligten
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entity = await espo.get_entity('CBeteiligte', TEST_BETEILIGTE_ID)
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print(f"\n✅ Beteiligter: {entity.get('name')}")
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print(f" ID: {entity.get('id')}")
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# emailAddressData
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print("\n" + "="*50)
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print("emailAddressData")
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print("="*50)
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email_data = entity.get('emailAddressData', [])
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if email_data:
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print(f"\n📧 {len(email_data)} Email-Adresse(n):\n")
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for i, email in enumerate(email_data):
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print(f"[{i+1}] {json.dumps(email, indent=2, ensure_ascii=False)}")
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# Analysiere Struktur
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if i == 0:
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print(f"\n📊 Feld-Struktur:")
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for key, value in email.items():
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print(f" • {key:20s}: {type(value).__name__:10s} = {value}")
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else:
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print("\n❌ Keine Email-Adressen vorhanden")
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# phoneNumberData
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print("\n" + "="*50)
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print("phoneNumberData")
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print("="*50)
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phone_data = entity.get('phoneNumberData', [])
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if phone_data:
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print(f"\n📞 {len(phone_data)} Telefonnummer(n):\n")
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for i, phone in enumerate(phone_data):
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print(f"[{i+1}] {json.dumps(phone, indent=2, ensure_ascii=False)}")
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# Analysiere Struktur
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if i == 0:
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print(f"\n📊 Feld-Struktur:")
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for key, value in phone.items():
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print(f" • {key:20s}: {type(value).__name__:10s} = {value}")
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else:
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print("\n❌ Keine Telefonnummern vorhanden")
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# Prüfe andere Beteiligten mit mehr Kommunikationsdaten
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print_section("SUCHE: Beteiligter mit mehr Kommunikationsdaten")
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print("\n🔍 Liste erste 20 Beteiligte und prüfe Kommunikationsdaten...\n")
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beteiligte_list = await espo.list_entities('CBeteiligte', max_size=20)
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best_example = None
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max_comm_count = 0
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for bet in beteiligte_list:
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# list_entities kann Strings oder Dicts zurückgeben
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if isinstance(bet, str):
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continue
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email_count = len(bet.get('emailAddressData', []))
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phone_count = len(bet.get('phoneNumberData', []))
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total = email_count + phone_count
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if total > 0:
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print(f"• {bet.get('name', 'N/A')[:40]:40s} | "
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f"Email: {email_count} | Phone: {phone_count}")
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if total > max_comm_count:
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max_comm_count = total
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best_example = bet
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if best_example and max_comm_count > 0:
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print(f"\n✅ Bester Beispiel-Beteiligter: {best_example.get('name')}")
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print(f" Gesamt: {max_comm_count} Kommunikationseinträge")
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print("\n📧 emailAddressData:")
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for i, email in enumerate(best_example.get('emailAddressData', [])):
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print(f"\n [{i+1}] {json.dumps(email, indent=6, ensure_ascii=False)}")
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print("\n📞 phoneNumberData:")
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for i, phone in enumerate(best_example.get('phoneNumberData', [])):
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print(f"\n [{i+1}] {json.dumps(phone, indent=6, ensure_ascii=False)}")
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return entity, email_data, phone_data, best_example
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async def main():
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print("\n" + "="*70)
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print("ESPOCRM KOMMUNIKATION - DETAIL-ANALYSE")
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print("="*70)
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print("\nZiel: Verstehe die Struktur von emailAddressData und phoneNumberData")
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print("Frage: Haben diese Arrays IDs für Matching mit Advoware?\n")
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try:
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entity, emails, phones, best = await analyze_communication_data()
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print_section("ZUSAMMENFASSUNG")
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print("\n📊 Erkenntnisse:")
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print("\n1️⃣ EspoCRM Standard-Struktur:")
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print(" • emailAddressData: Array von Email-Objekten")
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print(" • phoneNumberData: Array von Telefon-Objekten")
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print(" • Keine separate CKommunikation Entity")
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if emails:
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print("\n2️⃣ emailAddressData Felder:")
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sample = emails[0]
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for key in sample.keys():
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print(f" • {key}")
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if 'id' in sample:
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print("\n ✅ Hat 'id' Feld → Kann für Matching verwendet werden!")
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else:
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print("\n ❌ Kein 'id' Feld → Matching via Wert (emailAddress)")
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if phones:
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print("\n3️⃣ phoneNumberData Felder:")
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sample = phones[0]
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for key in sample.keys():
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print(f" • {key}")
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if 'id' in sample:
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print("\n ✅ Hat 'id' Feld → Kann für Matching verwendet werden!")
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else:
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print("\n ❌ Kein 'id' Feld → Matching via Wert (phoneNumber)")
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print("\n💡 Sync-Strategie:")
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print("\n Option A: Kommunikation als Teil von Beteiligte-Sync")
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print(" ────────────────────────────────────────────────────")
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print(" • emailAddressData → Advoware Kommunikation (kommKz=4)")
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print(" • phoneNumberData → Advoware Kommunikation (kommKz=1)")
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print(" • Sync innerhalb von beteiligte_sync.py")
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print(" • Kein separates Entity in EspoCRM nötig")
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print("\n Option B: Custom CKommunikation Entity erstellen")
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print(" ────────────────────────────────────────────────────")
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print(" • Neues Custom Entity in EspoCRM anlegen")
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print(" • Many-to-One Beziehung zu CBeteiligte")
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print(" • Separater kommunikation_sync.py")
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print(" • Ermöglicht mehr Flexibilität (Fax, BeA, etc.)")
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print("\n ⚠️ WICHTIG:")
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print(" • Standard EspoCRM hat NUR Email und Phone")
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print(" • Advoware hat 12 verschiedene Kommunikationstypen")
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print(" • Für vollständigen Sync → Custom Entity empfohlen")
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except Exception as e:
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print(f"\n❌ Fehler: {e}")
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import traceback
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traceback.print_exc()
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if __name__ == '__main__':
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asyncio.run(main())
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