140 lines
7.4 KiB
Python
140 lines
7.4 KiB
Python
import csv
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import os
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import mysql.connector
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import pandas as pd
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from datetime import datetime, timedelta
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import openpyxl
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from reportlab.lib.pagesizes import letter
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from reportlab.pdfgen import canvas
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import subprocess
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mydb = mysql.connector.connect(
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host="172.17.1.21",
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port="3306",
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user="root",
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password="N53yBCswuawzBzS445VNAhWVMs3N59Gb9szEsrzXRBzarDqpdETpQeyt5v5CGe",
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database="Stines-GmbH",
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auth_plugin='mysql_native_password',
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)
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mydb.connect()
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cursor = mydb.cursor()
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for k in range(0,31):
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heute = datetime.now()
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start_date = datetime(2023, 8, 1).replace(hour=0, minute=0, second=0, microsecond=0)
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start_date_00 = start_date + timedelta(days=k)
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start_date_23 = start_date_00.replace(hour=23, minute=59, second=59, microsecond=0)
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last_date = datetime(2023, 8, 31)
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cursor.execute("SELECT Datenbank FROM Kunden GROUP by Datenbank")
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kunden = cursor.fetchall()
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for i in kunden:
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if os.path.exists(fr"{i[0]}\{start_date.strftime("%d.%m")} - {last_date.strftime("%d.%m")}"):
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next
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else:
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try:
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os.mkdir(i[0])
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except:
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next
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os.mkdir(fr"{i[0]}\{start_date.strftime("%d.%m")} - {last_date.strftime("%d.%m")}")
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os.mkdir(fr"{i[0]}\{start_date.strftime("%d.%m")} - {last_date.strftime("%d.%m")}\RAW")
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# RAW EXPORT
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with open(fr'{i[0]}\{start_date.strftime("%d.%m")} - {last_date.strftime("%d.%m")}\RAW\Active-Directory-User - {i[0]} - {start_date_00.strftime("%Y-%m-%d")}.csv', 'w', newline='', encoding='utf-8') as csvfile:
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csv_writer = csv.writer(csvfile,delimiter=";")
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cursor.execute(f'SELECT * FROM `{i[0]}`.`Active-Directory-User` where importdate BETWEEN {start_date_00.timestamp()} and {start_date_23.timestamp()}')
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csv_writer.writerow([i[0] for i in cursor.description])
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csv_writer.writerows(cursor.fetchall())
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with open(fr'{i[0]}\{start_date.strftime("%d.%m")} - {last_date.strftime("%d.%m")}\RAW\RDS-User - {i[0]} - {start_date_00.strftime("%Y-%m-%d")}.csv', 'w', newline='', encoding='utf-8') as csvfile:
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csv_writer = csv.writer(csvfile,delimiter=";")
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try:
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cursor.execute(f"SELECT id FROM `{i[0]}`.`Exchange-User` LIMIT 1")
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except:
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next
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table_exists = cursor.fetchone() is not None
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if table_exists:
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cursor.execute(f'SELECT db1.importdate as "time",db1.CreateTimeStamp,db1.SamAccountName,db1.DisplayName, db1.EmailAddress, db1.extensionAttribute1 AS "RDS Deaktviert am", db1.extensionAttribute2 AS "Exchange Deaktviert am", db1.Description,db1.Deleted,db1.LastLogonDate,db1.City FROM `{i[0]}`.`Active-Directory-User` db1 INNER JOIN `{i[0]}`.`Active-Directory-RDS-User` db2 ON db1.SamAccountName = db2.SamAccountName WHERE db1.importdate BETWEEN {start_date_00.timestamp()} and {start_date_23.timestamp()} AND db2.SamAccountName NOT LIKE "%test%" AND db2.SamAccountName NOT LIKE "%admin%"')
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else:
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cursor.execute(f'SELECT db1.importdate as "time",db1.CreateTimeStamp,db1.SamAccountName,db1.DisplayName, db1.EmailAddress, db1.extensionAttribute1 AS "RDS Deaktviert am", db1.Description,db1.Deleted,db1.LastLogonDate,db1.City FROM `{i[0]}`.`Active-Directory-User` db1 INNER JOIN `{i[0]}`.`Active-Directory-RDS-User` db2 ON db1.SamAccountName = db2.SamAccountName WHERE db1.importdate BETWEEN {start_date_00.timestamp()} and {start_date_23.timestamp()} AND db2.SamAccountName NOT LIKE "%test%" AND db2.SamAccountName NOT LIKE "%admin%"')
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csv_writer.writerow([i[0] for i in cursor.description])
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csv_writer.writerows(cursor.fetchall())
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if i[0] == "tnp-Invest-GmbH":
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with open(fr'{i[0]}\{start_date.strftime("%d.%m")} - {last_date.strftime("%d.%m")}\RAW\Exchange-User - {i[0]} - {start_date_00.strftime("%Y-%m-%d")}.csv', 'w', newline='', encoding='utf-8') as csvfile:
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csv_writer = csv.writer(csvfile,delimiter=";")
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cursor.execute(f'SELECT * FROM `{i[0]}`.`Exchange-User` where importdate BETWEEN {start_date_00.timestamp()} and {start_date_23.timestamp()}')
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csv_writer.writerow([i[0] for i in cursor.description])
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csv_writer.writerows(cursor.fetchall())
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# RAW EXPORT ENDE
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# CREATE Excel Sheet from csv Export
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# EXPORT to Excel-Sheet
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csv_datei = fr'{i[0]}\{start_date.strftime("%d.%m")} - {last_date.strftime("%d.%m")}\RAW\RDS-User - {i[0]} - {start_date_00.strftime("%Y-%m-%d")}.csv'
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df = pd.read_csv(csv_datei, sep=";", encoding="utf-8")
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# Leere Felder mit "-" füllen
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df = df.fillna("-")
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df["time"] = pd.to_datetime(df["time"], unit='s')
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# Excel-Datei erstellen und Daten schreiben
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excel_datei = fr"{i[0]}\{start_date.strftime("%d.%m")} - {last_date.strftime("%d.%m")}\Excel_Export Stand({last_date.strftime("%d.%m")}).xlsx"
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if os.path.exists(excel_datei):
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mode = 'a'
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else:
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mode = 'w'
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with pd.ExcelWriter(excel_datei, engine='openpyxl', mode=f'{mode}') as writer:
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df.to_excel(writer, index=False, sheet_name=f'{start_date_00.strftime("%d-%m")}')
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workbook = writer.book
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worksheet = writer.sheets[f'{start_date_00.strftime("%d-%m")}']
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worksheet.auto_filter.ref = "A1:J1"
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# Spaltenbreite festlegen
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for column in worksheet.columns:
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max_length = 0
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column_letter = column[0].column_letter
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for cell in column:
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try:
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if len(str(cell.value)) > max_length:
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max_length = len(cell.value)
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except:
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pass
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adjusted_width = (max_length + 2) * 1.2
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worksheet.column_dimensions[column_letter].width = adjusted_width
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os.mkdir("")
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#
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# print(table_exists)
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#
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# c = canvas.Canvas(fr"{i[0]}\{start_date.strftime("%d.%m")} - {last_date.strftime("%d.%m")}\PDF_Export Stand({last_date.strftime("%d.%m")}).pdf", pagesize=letter)
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# # Hier können Sie IhrenCode zum Hinzufügen von Daten zur PDF einfügen
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# c.setFont("Helvetica", 10)
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# c.drawString(50, 750, f"Create Date - {datetime.now().strftime("%d-%m-%Y")}")
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# c.drawImage("Firmen-Logo.png", x=450, y=730, width=150, height=40)
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# c.setFont("Helvetica", 12)
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# c.drawString(100, 680, "REPORT der RDP / Exchange User der Firma bla")
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#
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# k = 10
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# n = 650
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# x = 100
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# t = 0
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# if n < 50:
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# if t == 1:
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# x = 400
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# n = 650
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# print(x)
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# print("insede")
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# else:
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# x = 250
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# n = 650
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# t += 1
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# c.setFont("Helvetica", 8)
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# c.drawString(x, n, f"Zeitraum: {i}")
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# c.drawString(x, n - 10, f"Aktive RDS-User: {i}")
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# c.drawString(x, n - 20, f"Deaktivierte RDS-User: {i}")
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# if table_exists:
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# c.drawString(x, n - 30, f"Aktive EX-User: {i}")
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# c.drawString(x, n - 40, f"Deaktivierte EX-User: {i}")
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# n = n - 60
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# c.save()
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# subprocess.Popen(["start", "output.pdf"], shell=True)
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cursor.close()
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mydb.close()
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