Update exporter add adodbapi
Sebastian Serfling
parent
ab0d40de67
commit
e70cc3dd23
200
exporter.py
200
exporter.py
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@ -1,27 +1,31 @@
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import os
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import pyodbc
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import traceback
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import datetime
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import adodbapi
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import pyodbc
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from dotenv import load_dotenv
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import mail
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import datetime
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# =========================
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# INITIALISIERUNG
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# =========================
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load_dotenv()
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# Logdatei vorbereiten
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MAIN_DIR = os.getcwd()
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LOG_DIR = os.path.join(MAIN_DIR, "Logs")
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os.makedirs(LOG_DIR, exist_ok=True)
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logfile_name = f"MSSQL_exporter_log_{datetime.datetime.now().strftime('%Y-%m-%d')}.txt"
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logfile_path = os.path.join(LOG_DIR, logfile_name)
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# Prozessname für Mail und Logs
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process = "SDF_to_MSSQL_Export"
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# Globaler MSSQL-Cursor für Logging
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mssql_cursor_global = None
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def write_log(line):
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# =========================
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# LOGGING
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# =========================
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def write_log(line: str):
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timestamp = datetime.datetime.now().strftime('%Y-%m-%d_%H-%M-%S')
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log_entry = f"{line}\n------------------------------{timestamp}------------------------------"
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print(line)
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@ -30,7 +34,7 @@ def write_log(line):
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def write_log_summary(table, inserted, skipped, errors, inserted_rows):
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"""Schreibt eine zusammenfassende Logzeile pro Tabelle in die logs-Tabelle."""
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"""Schreibt kurze Zusammenfassung in MSSQL-logs."""
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if not mssql_cursor_global:
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return
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try:
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@ -40,43 +44,45 @@ def write_log_summary(table, inserted, skipped, errors, inserted_rows):
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message = f"{inserted} eingefügt, {skipped} übersprungen, {errors} Fehler"
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if inserted_rows:
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message += " | " + "; ".join(inserted_rows[:5])
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full_message = f"Tabelle {table}: {message}"
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msg = f"Tabelle {table}: {message}"
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mssql_cursor_global.execute(
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"INSERT INTO logs (timestamp, message, process) VALUES (?, ?, ?)",
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datetime.datetime.now(), full_message, process
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datetime.datetime.now(), msg, process
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)
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mssql_cursor_global.connection.commit()
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except Exception as log_db_error:
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print(f"Fehler beim Schreiben der Tabellen-Zusammenfassung in logs: {log_db_error}")
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except Exception as e:
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print(f"Fehler beim Schreiben der Tabellen-Zusammenfassung in logs: {e}")
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# Pfade und Verbindungen
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# =========================
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# VERBINDUNGEN
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# =========================
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SDF_LOCAL_PFAD = os.getenv("SDF_LOCAL_PFAD")
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SDF_NAME = os.getenv("SDF_NAME")
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SDF_NAME = os.getenv("SDF_NAME", "App.sdf")
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sdf_file = os.path.join(SDF_LOCAL_PFAD, SDF_NAME)
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# Neuer pyodbc-Treiber für SQL Server Compact Edition 4.0
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sdf_connection_str = (
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r"Driver={SQL Server Compact Edition 4.0};"
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f"Data Source={sdf_file};"
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)
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mssql_connection_str = os.getenv("MSSQL_CONNECTION_STR")
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if not mssql_connection_str:
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error_msg = "MSSQL_CONNECTION_STR nicht in der .env gefunden."
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write_log(error_msg)
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mail.send_error_email(error_msg, process)
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MSSQL_CONNECTION_STR = os.getenv("MSSQL_CONNECTION_STR")
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if not MSSQL_CONNECTION_STR:
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msg = "❌ MSSQL_CONNECTION_STR fehlt in .env"
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write_log(msg)
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mail.send_error_email(msg, process)
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exit(1)
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# Tabellenliste aus .env oder Fallback
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sdf_connection_str = (
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"Provider=Microsoft.SQLSERVER.CE.OLEDB.3.5;"
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f"Data Source={sdf_file};"
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"Persist Security Info=False;"
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)
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tables_env = os.getenv("TABLES", "")
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tables = [t.strip() for t in tables_env.split(",") if t.strip()]
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if not tables:
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write_log("Hinweis: Keine Tabellen in der .env gefunden (Variable TABLES fehlt oder ist leer).")
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# =========================
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# HELFER
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# =========================
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def get_pk_columns(mssql_cursor, table_name):
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pk_query = """
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query = """
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SELECT KU.COLUMN_NAME
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FROM INFORMATION_SCHEMA.TABLE_CONSTRAINTS AS TC
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INNER JOIN INFORMATION_SCHEMA.KEY_COLUMN_USAGE AS KU
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@ -85,130 +91,132 @@ def get_pk_columns(mssql_cursor, table_name):
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AND KU.TABLE_NAME = ?
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ORDER BY KU.ORDINAL_POSITION;
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"""
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mssql_cursor.execute(pk_query, (table_name,))
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mssql_cursor.execute(query, (table_name,))
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return [row[0] for row in mssql_cursor.fetchall()]
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def row_summary(columns, row):
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summary_parts = []
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for i, col in enumerate(columns):
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summary = []
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for i, col in enumerate(columns[:3]): # max. 3 Spalten
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val = row[i]
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if isinstance(val, (int, float, str)) and len(summary_parts) < 3:
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summary_parts.append(f"{col}={repr(val)}")
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return ", ".join(summary_parts)
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summary.append(f"{col}={repr(val)}")
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return ", ".join(summary)
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# =========================
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# HAUPTPROGRAMM
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# =========================
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def main():
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global mssql_cursor_global
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try:
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# --- Verbindungen herstellen ---
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sdf_conn = pyodbc.connect(sdf_connection_str)
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sdf_cursor = sdf_conn.cursor()
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# --- MSSQL ---
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try:
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mssql_conn = pyodbc.connect(MSSQL_CONNECTION_STR)
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mssql_cursor = mssql_conn.cursor()
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mssql_cursor_global = mssql_cursor
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write_log("✅ Verbindung zu MSSQL erfolgreich hergestellt.")
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except Exception as mssql_err:
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err_msg = f"❌ Fehler bei der Verbindung zu MSSQL: {mssql_err}"
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write_log(err_msg)
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mail.send_error_email(err_msg, process)
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#return # abbrechen
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mssql_conn = pyodbc.connect(mssql_connection_str)
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mssql_cursor = mssql_conn.cursor()
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mssql_cursor_global = mssql_cursor
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# --- SDF ---
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try:
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sdf_conn = adodbapi.connect(sdf_connection_str)
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sdf_cursor = sdf_conn.cursor()
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write_log("✅ Verbindung zur SDF erfolgreich geöffnet.")
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except Exception as sdf_err:
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err_msg = f"❌ Fehler beim Zugriff auf SDF: {sdf_err}"
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write_log(err_msg)
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mail.send_error_email(err_msg, process)
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return
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report_lines = []
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for table_name in tables:
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write_log(f"\nVerarbeite Tabelle: {table_name}")
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# ============ Tabellen-Export ============
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for table in tables:
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write_log(f"\n🔹 Verarbeite Tabelle: {table}")
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try:
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sdf_cursor.execute(f"SELECT * FROM [{table_name}]")
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sdf_cursor.execute(f"SELECT * FROM [{table}]")
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columns = [col[0] for col in sdf_cursor.description]
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rows = sdf_cursor.fetchall()
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write_log(f"Spalten in {table}: {columns}")
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except Exception as e:
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write_log(f"Fehler beim Lesen aus SDF-Tabelle {table_name}: {e}")
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mail.send_error_email(f"Fehler beim Lesen aus {table_name}: {e}", process)
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write_log(f"❌ Fehler beim Lesen der Tabelle {table}: {e}")
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continue
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write_log(f"{len(rows)} Datensätze in SDF gefunden. Spalten: {columns}")
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# Primary Keys ermitteln
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pk_columns = get_pk_columns(mssql_cursor, table_name)
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pk_columns = get_pk_columns(mssql_cursor, table)
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if pk_columns:
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write_log(f"Primary Key(s): {pk_columns}")
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try:
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pk_indices = [columns.index(pk) for pk in pk_columns]
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except ValueError as ve:
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write_log(f"Fehler bei PK-Index-Ermittlung: {ve}")
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pk_indices = []
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write_log(f"Primary Key(s) in {table}: {pk_columns}")
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pk_indices = [columns.index(pk) for pk in pk_columns if pk in columns]
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else:
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write_log("Kein Primary Key definiert.")
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write_log(f"⚠️ Kein Primary Key in {table}. Alle Datensätze werden eingefügt.")
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pk_indices = []
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placeholders = ", ".join("?" for _ in columns)
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insert_sql = f"INSERT INTO [{table_name}] ({', '.join('[' + col + ']' for col in columns)}) VALUES ({placeholders})"
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insert_sql = f"INSERT INTO {table} ({', '.join('[' + c + ']' for c in columns)}) VALUES ({placeholders})"
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inserted = 0
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skipped = 0
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errors = 0
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inserted_rows = []
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rows = sdf_cursor.fetchall()
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write_log(f"{len(rows)} Datensätze in {table} gefunden.")
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for row in rows:
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try:
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if pk_indices:
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pk_values = tuple(row[i] for i in pk_indices)
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pk_clause = " AND ".join(f"[{col}] = ?" for col in pk_columns)
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select_sql = f"SELECT COUNT(*) FROM [{table_name}] WHERE {pk_clause}"
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select_sql = f"SELECT COUNT(*) FROM {table} WHERE {pk_clause}"
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mssql_cursor.execute(select_sql, pk_values)
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count = mssql_cursor.fetchone()[0]
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if count > 0:
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if mssql_cursor.fetchone()[0] > 0:
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skipped += 1
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continue
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mssql_cursor.execute(insert_sql, row)
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inserted += 1
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inserted_rows.append(row_summary(columns, row))
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if len(inserted_rows) < 5:
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inserted_rows.append(row_summary(columns, row))
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except Exception as ie:
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except Exception as insert_err:
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errors += 1
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err = f"Fehler beim Einfügen in Tabelle {table_name}: {ie}"
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write_log(err)
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mail.send_error_email(err, process)
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error_details = f"Fehler beim Einfügen in {table}: {insert_err}"
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write_log(error_details)
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mail.send_error_email(error_details, process)
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mssql_conn.commit()
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write_log(f"{inserted} eingefügt, {skipped} übersprungen, {errors} Fehler.")
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write_log_summary(table_name, inserted, skipped, errors, inserted_rows)
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report_lines.append(f"Tabelle {table_name}: {inserted} eingefügt, {skipped} übersprungen, {errors} Fehler.")
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write_log(f"✅ {table}: {inserted} eingefügt, {skipped} übersprungen, {errors} Fehler.")
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write_log_summary(table, inserted, skipped, errors, inserted_rows)
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report_lines.append(f"{table}: {inserted} eingefügt, {skipped} übersprungen, {errors} Fehler.")
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# --- Abschlussbericht ---
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report_text = "\n".join(report_lines)
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write_log("Export-Zusammenfassung:\n" + report_text)
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mail.send_report_email(report_text, process)
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# --- Leere .export-Datei erstellen ---
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# --- .export-Marker ---
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export_marker_path = os.path.join(MAIN_DIR, ".export")
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try:
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with open(export_marker_path, "w"):
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pass
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write_log(f"Leere .export-Datei erstellt: {export_marker_path}")
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except Exception as marker_err:
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write_log(f"Fehler beim Erstellen der .export-Datei: {marker_err}")
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with open(export_marker_path, "w"):
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pass
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write_log(f"Leere .export-Datei erstellt: {export_marker_path}")
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# --- Abschlusslog in DB ---
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# --- Abschlusslog ---
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try:
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if mssql_cursor_global:
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mssql_cursor_global.execute(
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"INSERT INTO logs (timestamp, message, process) VALUES (?, ?, ?)",
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datetime.datetime.now(), "Export abgeschlossen (.export erzeugt)", process
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)
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mssql_cursor_global.connection.commit()
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except Exception as db_log_final_error:
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print(f"Fehler beim Schreiben des finalen Logs in DB: {db_log_final_error}")
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mssql_cursor.execute(
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"INSERT INTO logs (timestamp, message, process) VALUES (?, ?, ?)",
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datetime.datetime.now(), "Export abgeschlossen (.export erzeugt)", process
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)
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mssql_conn.commit()
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except Exception as log_err:
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print(f"Fehler beim finalen DB-Log: {log_err}")
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# Verbindungen schließen
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sdf_cursor.close()
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sdf_conn.close()
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mssql_cursor.close()
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mssql_conn.close()
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except Exception as e:
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error_details = f"Allgemeiner Fehler: {e}\n{traceback.format_exc()}"
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write_log(error_details)
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mail.send_error_email(error_details, process)
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err = f"Allgemeiner Fehler: {e}\n{traceback.format_exc()}"
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write_log(err)
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mail.send_error_email(err, process)
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if __name__ == "__main__":
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