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sync_manager.py aktualisiert

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Floke
2025-08-28 14:08:08 +00:00
parent e629a83caa
commit 80be6d81ef
1 changed files with 76 additions and 42 deletions
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sync_manager.py
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@@ -1,4 +1,4 @@
#!/usr/bin/env python3
#!/usr/-bin/env python3
"""
sync_manager.py
@@ -9,10 +9,54 @@ gelöschte Datensätze zu identifizieren und zu verarbeiten.
import pandas as pd
import logging
from datetime import datetime
from collections import defaultdict
from config import COLUMN_ORDER, COLUMN_MAP, Config
class SyncStatistics:
"""Eine einfache Klasse zum Sammeln von Statistiken während des Sync-Prozesses."""
def __init__(self):
self.new_accounts = 0
self.existing_accounts = 0
self.archived_accounts = 0
self.accounts_to_update = set()
self.field_updates = defaultdict(int)
self.conflict_accounts = set()
self.field_conflicts = defaultdict(int)
def generate_report(self):
report = [
"\n" + "="*50,
" Sync-Prozess Abschlussbericht",
"="*50,
f"| Neue Accounts hinzugefügt: | {self.new_accounts}",
f"| Bestehende Accounts analysiert: | {self.existing_accounts}",
f"| Accounts für Archivierung markiert:| {self.archived_accounts}",
"-"*50,
f"| Accounts mit Updates gesamt: | {len(self.accounts_to_update)}",
]
if self.field_updates:
report.append("| Feld-Updates im Detail:")
# Sortiert die Feld-Updates nach Häufigkeit
sorted_updates = sorted(self.field_updates.items(), key=lambda item: item[1], reverse=True)
for field, count in sorted_updates:
report.append(f"| - {field:<25} | {count} mal")
else:
report.append("| Keine Feld-Updates durchgeführt.")
report.append("-" * 50)
report.append(f"| Accounts mit Konflikten: | {len(self.conflict_accounts)}")
if self.field_conflicts:
report.append("| Feld-Konflikte im Detail:")
sorted_conflicts = sorted(self.field_conflicts.items(), key=lambda item: item[1], reverse=True)
for field, count in sorted_conflicts:
report.append(f"| - {field:<25} | {count} mal")
else:
report.append("| Keine Konflikte festgestellt.")
report.append("="*50)
return "\n".join(report)
class SyncManager:
"""
Kapselt die Logik für den Abgleich zwischen D365-Export und Google Sheet.
@@ -21,46 +65,35 @@ class SyncManager:
self.sheet_handler = sheet_handler
self.d365_export_path = d365_export_path
self.logger = logging.getLogger(__name__)
self.stats = SyncStatistics()
self.target_sheet_name = None
self.d365_to_gsheet_map = {
"Account Name": "CRM Name",
"Parent Account": "Parent Account Name",
"Website": "CRM Website",
"City": "CRM Ort",
"Country": "CRM Land",
"Description FSM": "CRM Beschreibung",
"Branch detail": "CRM Branche",
"Account Name": "CRM Name", "Parent Account": "Parent Account Name",
"Website": "CRM Website", "City": "CRM Ort", "Country": "CRM Land",
"Description FSM": "CRM Beschreibung", "Branch detail": "CRM Branche",
"No. Service Technicians": "CRM Anzahl Techniker",
"Annual Revenue (Mio. €)": "CRM Umsatz",
"Number of Employees": "CRM Anzahl Mitarbeiter",
"GUID": "CRM ID"
"Number of Employees": "CRM Anzahl Mitarbeiter", "GUID": "CRM ID"
}
# --- ANGEPASSTE LOGIK-LISTEN ---
# Spalten, bei denen D365 (fast) immer gewinnt
self.d365_wins_cols = ["CRM Name", "Parent Account Name", "CRM Ort", "CRM Land",
"CRM Anzahl Techniker", "CRM Branche", "CRM Umsatz",
"CRM Anzahl Mitarbeiter", "CRM Beschreibung"]
# Spalten, bei denen unsere angereicherten Daten im GSheet Vorrang haben
self.smart_merge_cols = ["CRM Website"]
def _load_data(self):
"""Lädt und bereitet die Daten aus D365 und Google Sheets vor."""
# (Diese Funktion bleibt exakt wie in der letzten Version)
self.logger.info(f"Lade Daten aus D365-Export: '{self.d365_export_path}'...")
try:
temp_d365_df = pd.read_excel(self.d365_export_path, dtype=str).fillna('')
for d365_col in self.d365_to_gsheet_map.keys():
if d365_col not in temp_d365_df.columns:
raise ValueError(f"Erwartete Spalte '{d365_col}' nicht in der D365-Exportdatei gefunden.")
self.d365_df = temp_d365_df[list(self.d365_to_gsheet_map.keys())].copy()
self.d365_df.rename(columns=self.d365_to_gsheet_map, inplace=True)
self.d365_df['CRM ID'] = self.d365_df['CRM ID'].str.strip().str.lower()
self.d365_df = self.d365_df[self.d365_df['CRM ID'].str.match(r'^[0-9a-f]{8}-([0-9a-f]{4}-){3}[0-9a-f]{12}$', na=False)]
except Exception as e:
self.logger.critical(f"Fehler beim Laden der Excel-Datei: {e}", exc_info=True)
return False
@@ -74,14 +107,12 @@ class SyncManager:
actual_header = all_data_with_headers[self.sheet_handler._header_rows - 1]
data_rows = all_data_with_headers[self.sheet_handler._header_rows:]
temp_df = pd.DataFrame(data_rows)
if not temp_df.empty:
if temp_df.shape[1] > len(actual_header):
temp_df = temp_df.iloc[:, :len(actual_header)]
temp_df.columns = actual_header
else:
temp_df = pd.DataFrame(columns=actual_header)
temp_df = temp_df.fillna('')
for col_name in COLUMN_ORDER:
if col_name not in temp_df.columns:
@@ -117,7 +148,12 @@ class SyncManager:
self.logger.info("Archivierungs-Schritt wird übersprungen (Teil-Export angenommen).")
existing_ids = d365_ids.intersection(gsheet_ids)
self.logger.info(f"Sync-Analyse: {len(new_ids)} neue, {len(deleted_ids)} zu archivierende, {len(existing_ids)} bestehende Accounts.")
# Statistik befüllen
self.stats.new_accounts = len(new_ids)
self.stats.archived_accounts = len(deleted_ids)
self.stats.existing_accounts = len(existing_ids)
self.logger.info(f"Sync-Analyse: {self.stats.new_accounts} neue, {self.stats.archived_accounts} zu archivierende, {self.stats.existing_accounts} bestehende Accounts.")
updates_to_batch, rows_to_append = [], []
@@ -147,56 +183,52 @@ class SyncManager:
gsheet_val = str(gsheet_row[gsheet_col]).strip()
trigger_update = False
if gsheet_col == 'CRM Land':
d365_code_lower = d365_val.lower()
gsheet_val_lower = gsheet_val.lower()
d365_code_lower, gsheet_val_lower = d365_val.lower(), gsheet_val.lower()
d365_translated_lower = Config.COUNTRY_CODE_MAP.get(d365_code_lower, d365_code_lower).lower()
if gsheet_val_lower != d365_code_lower and gsheet_val_lower != d365_translated_lower:
trigger_update = True
elif gsheet_col == 'CRM Anzahl Techniker':
if (d365_val == '-1' or d365_val == '0') and gsheet_val == '': pass
elif d365_val != gsheet_val: trigger_update = True
elif gsheet_col == 'CRM Branche':
if gsheet_row['Chat Vorschlag Branche'] == '' and d365_val != gsheet_val:
trigger_update = True
elif gsheet_col == 'CRM Umsatz':
if gsheet_row['Wiki Umsatz'] == '' and d365_val != gsheet_val:
trigger_update = True
elif gsheet_col == 'CRM Anzahl Mitarbeiter':
if gsheet_row['Wiki Mitarbeiter'] == '' and d365_val != gsheet_val:
trigger_update = True
elif gsheet_col == 'CRM Beschreibung':
if gsheet_row['Website Zusammenfassung'] == '' and d365_val != gsheet_val:
trigger_update = True
else: # Gilt nur noch für Name, Ort, Parent
if d365_val != gsheet_val:
trigger_update = True
else:
if d365_val != gsheet_val: trigger_update = True
if trigger_update:
row_updates[gsheet_col] = d365_val
needs_reeval = True
self.logger.debug(f"ReEval für {crm_id} durch '{gsheet_col}': D365='{d365_val}' | GSheet='{gsheet_val}'")
row_updates[gsheet_col] = d365_val; needs_reeval = True
self.logger.debug(f"Update für {crm_id} durch '{gsheet_col}': D365='{d365_val}' | GSheet='{gsheet_val}'")
for gsheet_col in self.smart_merge_cols:
d365_val = str(d365_row.get(gsheet_col, '')).strip()
gsheet_val = str(gsheet_row.get(gsheet_col, '')).strip()
if d365_val and not gsheet_val:
row_updates[gsheet_col] = d365_val
needs_reeval = True
row_updates[gsheet_col] = d365_val; needs_reeval = True
elif d365_val and gsheet_val and d365_val != gsheet_val:
conflict_messages.append(f"{gsheet_col}_CONFLICT: D365='{d365_val}' | GSHEET='{gsheet_val}'")
if conflict_messages: row_updates["SyncConflict"] = "; ".join(conflict_messages)
if conflict_messages:
row_updates["SyncConflict"] = "; ".join(conflict_messages)
self.stats.conflict_accounts.add(crm_id)
for msg in conflict_messages: self.stats.field_conflicts[msg.split('_CONFLICT')[0]] += 1
if needs_reeval: row_updates["ReEval Flag"] = "x"
if row_updates:
self.stats.accounts_to_update.add(crm_id)
for field in row_updates.keys(): self.stats.field_updates[field] += 1
sheet_row_number = original_row_index + self.sheet_handler._header_rows + 1
for col_name, value in row_updates.items():
updates_to_batch.append({ "range": f"{COLUMN_MAP[col_name]['Titel']}{sheet_row_number}", "values": [[value]] })
@@ -209,8 +241,10 @@ class SyncManager:
self.logger.info(f"Sende {len(updates_to_batch)} Zell-Updates an das Google Sheet...")
self.sheet_handler.batch_update_cells(updates_to_batch)
if not rows_to_append and not updates_to_batch:
self.logger.info("Keine Änderungen festgestellt. Das Google Sheet ist bereits auf dem neuesten Stand.")
# Generiere und logge den Abschlussbericht
report = self.stats.generate_report()
self.logger.info(report)
print(report)
self.logger.info("Synchronisation erfolgreich abgeschlossen.")