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[31388f42] Deep CE Sync: Support contact creation and automated enrichment workflow

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Floke
2026-03-02 10:01:11 +00:00
parent c753c2feab
commit fdb4e2ff23
3 changed files with 143 additions and 73 deletions
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73
lead-engine/enrich.py
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@@ -6,7 +6,8 @@ import sqlite3
# Füge das Hauptverzeichnis zum Python-Pfad hinzu, damit der Connector gefunden wird
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
from company_explorer_connector import handle_company_workflow, get_company_details
from db import get_leads, DB_PATH
from db import get_leads, DB_PATH, update_lead_metadata
from lookup_role import lookup_person_role
def update_lead_enrichment(lead_id, data, status):
"""Aktualisiert einen Lead in der Datenbank mit neuen Enrichment-Daten und einem neuen Status."""
@@ -26,18 +27,54 @@ def refresh_ce_data(lead_id, ce_id):
print(f"Refreshing data for CE ID {ce_id}...")
ce_data = get_company_details(ce_id)
# Bestehende Enrichment-Daten holen, um nichts zu überschreiben
# (Vereinfachung: Wir bauen das dict neu auf)
enrichment_data = {
# Bestehende Enrichment-Daten holen
leads = get_leads()
lead = next((l for l in leads if l['id'] == lead_id), None)
enrichment_data = {}
if lead and lead.get('enrichment_data'):
try:
enrichment_data = json.loads(lead['enrichment_data'])
except:
pass
enrichment_data.update({
"sync_status": "refreshed",
"ce_id": ce_id,
"message": "Data refreshed from CE",
"ce_data": ce_data
}
})
update_lead_enrichment(lead_id, enrichment_data, status='synced')
return ce_data
def enrich_contact_role(lead):
"""
Versucht, die Rolle des Kontakts via SerpAPI zu finden und speichert sie in den Metadaten.
"""
meta = {}
if lead.get('lead_metadata'):
try:
meta = json.loads(lead.get('lead_metadata'))
except:
pass
# Skip if we already have a role (and it's not None/Unknown)
if meta.get('role') and meta.get('role') != "Unbekannt":
return meta.get('role')
print(f"Looking up role for {lead['contact_name']} at {lead['company_name']}...")
role = lookup_person_role(lead['contact_name'], lead['company_name'])
if role:
print(f" -> Found role: {role}")
meta['role'] = role
update_lead_metadata(lead['id'], meta)
else:
print(" -> No role found.")
return role
def run_sync():
"""
Haupt-Synchronisationsprozess.
@@ -56,15 +93,33 @@ def run_sync():
company_name = lead['company_name']
print(f"\n--- Processing Lead ID: {lead['id']}, Company: '{company_name}' ---")
# Rufe den zentralen Workflow auf, den wir im Connector definiert haben
# Diese Funktion kümmert sich um alles: prüfen, erstellen, discovern, pollen, analysieren
result = handle_company_workflow(company_name)
# 1. Contact Enrichment (Role Lookup via SerpAPI)
role = enrich_contact_role(lead)
# 2. Prepare Contact Info for CE
meta = {}
if lead.get('lead_metadata'):
try:
meta = json.loads(lead.get('lead_metadata'))
except:
pass
contact_info = {
"first_name": meta.get('contact_first', ''),
"last_name": meta.get('contact_last', lead['contact_name'].split(' ')[-1] if lead['contact_name'] else ''),
"email": lead['email'],
"job_title": meta.get('role', role), # The raw title or Gemini result
"role": meta.get('role', role) # Currently mapped to same field
}
# 3. Company Enrichment (CE Workflow with Contact)
result = handle_company_workflow(company_name, contact_info=contact_info)
# Bereite die Daten für die Speicherung in der DB vor
enrichment_data = {
"sync_status": result.get("status"),
"ce_id": result.get("data", {}).get("id") if result.get("data") else None,
"message": result.get("message"),
"message": result.get("message", "Sync successful"),
"ce_data": result.get("data")
}