import csv import os import mysql.connector import pandas as pd from datetime import datetime, timedelta import openpyxl import calendar import http.client, urllib # from reportlab.lib.pagesizes import letter # from reportlab.pdfgen import canvas from openpyxl.styles import Alignment, Font import subprocess date = datetime.now() - timedelta(1) month = datetime.now().strftime("%m") year = datetime.now().strftime("%Y") start_date_00 = date.replace(hour=0, minute=0, second=0, microsecond=0) start_date_23 = start_date_00.replace(hour=23, minute=59, second=59, microsecond=0) start_date_str = start_date_00.strftime("01.%m") last_date_str = start_date_00.strftime(f"{calendar.monthrange(int(year),int(month))[1]}.%m") mydb = mysql.connector.connect( host="172.17.1.21", port="3306", user="root", password="N53yBCswuawzBzS445VNAhWVMs3N59Gb9szEsrzXRBzarDqpdETpQeyt5v5CGe", database="Stines-GmbH", auth_plugin='mysql_native_password', ) mydb.connect() cursor = mydb.cursor() cursor.execute("SELECT Datenbank FROM Kunden GROUP by Datenbank") kunden = cursor.fetchall() main_path = fr"/docker/app_data/data/karstenstoecker/files/Stines GmbH/1. Verwaltung/4. Verträge/2. Zulieferer - Dienstleister/MS - SPLA/Insight/Reports/{year}" for i in kunden: kunde = i[0].replace("-"," ").replace("ae","ä") if os.path.exists(fr"{main_path}/{i}/{start_date_str} - {last_date_str}/RAW"): next else: try: os.mkdir(fr"{main_path}/{kunde}") except: next try: os.mkdir(fr"{main_path}/{kunde}/{start_date_str} - {last_date_str}") except: next try: os.mkdir(fr"{main_path}/{kunde}/{start_date_str} - {last_date_str}/RAW") except: next # RAW EXPORT ## AD - User Export START ## with open(fr'{main_path}/{kunde}/{start_date_str} - {last_date_str}/RAW/Active-Directory-User - {kunde} - {start_date_00.strftime("%Y-%m-%d")}.csv', 'w', newline='', encoding='utf-8') as csvfile: csv_writer = csv.writer(csvfile,delimiter=";") cursor.execute(f'SELECT * FROM `{i[0]}`.`Active-Directory-User` where importdate BETWEEN {start_date_00.timestamp()} and {start_date_23.timestamp()}') csv_writer.writerow([i[0] for i in cursor.description]) csv_writer.writerows(cursor.fetchall()) ## AD - User Export ENDE ## ## SERVER - Export START ## with open(fr'{main_path}/{kunde}/{start_date_str} - {last_date_str}/RAW/SERVER - {kunde} - {start_date_00.strftime("%Y-%m-%d")}.csv', 'w', newline='', encoding='utf-8') as csvfile: csv_writer = csv.writer(csvfile,delimiter=";") # print(f"SELECT Kundennummer,Name,`Server-Name`,`IP-Adresse`,CreateDate,`Windows-Key`,CPU,RAM,Speicher,Prozessor FROM `Stines-GmbH`.`Kunden-Server` where Name='{i[0]}' AND `Windows-Key` IS NOT NULL") cursor.execute(f"SELECT Kundennummer,Name,`Server-Name`,`IP-Adresse`,CreateDate,`Windows-Key`,CPU,RAM,Speicher,Prozessor FROM `Stines-GmbH`.`Kunden-Server` where Name='{i[0]}' AND `Windows-Key` IS NOT NULL") csv_writer.writerow([i[0] for i in cursor.description]) csv_writer.writerows(cursor.fetchall()) ## SERVER - Export ENDE ## ## RDS - User Export START ## with open(fr'{main_path}/{kunde}/{start_date_str} - {last_date_str}/RAW/RDS-User - {kunde} - {start_date_00.strftime("%Y-%m-%d")}.csv', 'w', newline='', encoding='utf-8') as csvfile: csv_writer = csv.writer(csvfile,delimiter=";") try: cursor.execute(f"SELECT id FROM `{i[0]}`.`Exchange-User` LIMIT 1") except: next table_exists = cursor.fetchone() is not None if table_exists: 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%"') else: 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%"') csv_writer.writerow([i[0] for i in cursor.description]) csv_writer.writerows(cursor.fetchall()) if table_exists: with open(fr'{main_path}/{kunde}/{start_date_str} - {last_date_str}/RAW/Exchange-User - {kunde} - {start_date_00.strftime("%Y-%m-%d")}.csv', 'w', newline='', encoding='utf-8') as csvfile: csv_writer = csv.writer(csvfile,delimiter=";") cursor.execute(f'SELECT importdate as "time",SamAccountName,WindowsEmailAddress,CustomAttribute2 as "Description",WhenCreated FROM `{i[0]}`.`Exchange-User` WHERE RecipientTypeDetails = "UserMailbox" AND importdate BETWEEN {start_date_00.timestamp()} and {start_date_23.timestamp()} AND SamAccountName NOT LIKE "%test%" AND SamAccountName NOT LIKE "%admin%" AND SamAccountName NOT LIKE "%journal%" ') csv_writer.writerow([i[0] for i in cursor.description]) csv_writer.writerows(cursor.fetchall()) ## RDS - User Export ENDE ## ## RAW EXPORT ENDE ## ## CREATE Excel Sheet from csv Export ## ## EXPORT to AD- User Excel-Sheet ## csv_datei = fr'{main_path}/{kunde}/{start_date_str} - {last_date_str}/RAW/RDS-User - {kunde} - {start_date_00.strftime("%Y-%m-%d")}.csv' df = pd.read_csv(csv_datei, sep=";", encoding="utf-8") # Leere Felder mit "-" füllen df = df.fillna("-") df["time"] = pd.to_datetime(df["time"], unit='s') # Excel-Datei erstellen und Daten schreiben excel_datei = fr"{main_path}/{kunde}/{start_date_str} - {last_date_str}/{kunde}_User_Export Stand({last_date_str}).xlsx" if os.path.exists(excel_datei): mode = 'a' else: mode = 'w' with pd.ExcelWriter(excel_datei, engine='openpyxl', mode=f'{mode}') as writer: df.to_excel(writer, index=False, sheet_name=f'{start_date_00.strftime("%d-%m")}') workbook = writer.book worksheet = writer.sheets[f'{start_date_00.strftime("%d-%m")}'] worksheet.auto_filter.ref = "A1:J1" # Spaltenbreite festlegen for column in worksheet.columns: max_length = 0 column_letter = column[0].column_letter for cell in column: try: if len(str(cell.value)) > max_length: max_length = len(cell.value) except: pass adjusted_width = (max_length + 2) * 1.2 worksheet.column_dimensions[column_letter].width = adjusted_width ## EXPORT to AD- User Excel-Sheet ## csv_datei = fr'{main_path}/{kunde}/{start_date_str} - {last_date_str}/RAW/SERVER - {kunde} - {start_date_00.strftime("%Y-%m-%d")}.csv' df = pd.read_csv(csv_datei, sep=";", encoding="utf-8") # Leere Felder mit "-" füllen df = df.fillna("-") # df["time"] = pd.to_datetime(df["time"], unit='s') # Excel-Datei erstellen und Daten schreiben excel_datei = fr"{main_path}/{kunde}/{start_date_str} - {last_date_str}/{kunde}_Server_Export Stand({last_date_str}).xlsx" if os.path.exists(excel_datei): mode = 'a' else: mode = 'w' with pd.ExcelWriter(excel_datei, engine='openpyxl', mode=f'{mode}') as writer: df.to_excel(writer, index=False, sheet_name=f'{start_date_00.strftime("%d-%m")}') workbook = writer.book worksheet = writer.sheets[f'{start_date_00.strftime("%d-%m")}'] worksheet.auto_filter.ref = "A1:J1" # Spaltenbreite festlegen for column in worksheet.columns: max_length = 0 column_letter = column[0].column_letter for cell in column: try: if len(str(cell.value)) > max_length: max_length = len(cell.value) except: pass adjusted_width = (max_length + 2) * 1.2 worksheet.column_dimensions[column_letter].width = adjusted_width if table_exists: csv_datei = fr'{main_path}/{kunde}/{start_date_str} - {last_date_str}/RAW/Exchange-User - {kunde} - {start_date_00.strftime("%Y-%m-%d")}.csv' df = pd.read_csv(csv_datei, sep=";", encoding="utf-8") # Leere Felder mit "-" füllen df = df.fillna("-") df["time"] = pd.to_datetime(df["time"], unit='s') # Excel-Datei erstellen und Daten schreiben excel_datei = fr"{main_path}/{kunde}/{start_date_str} - {last_date_str}/{kunde}_Mailbox_Export Stand({last_date_str}).xlsx" if os.path.exists(excel_datei): mode = 'a' else: mode = 'w' with pd.ExcelWriter(excel_datei, engine='openpyxl', mode=f'{mode}') as writer: df.to_excel(writer, index=False, sheet_name=f'{start_date_00.strftime("%d-%m")}') workbook = writer.book worksheet = writer.sheets[f'{start_date_00.strftime("%d-%m")}'] worksheet.auto_filter.ref = "A1:E1" # Spaltenbreite festlegen for column in worksheet.columns: max_length = 0 column_letter = column[0].column_letter for cell in column: try: if len(str(cell.value)) > max_length: max_length = len(cell.value) except: pass adjusted_width = (max_length + 2) * 1.2 worksheet.column_dimensions[column_letter].width = adjusted_width ## CREATE Worksheet first Page try: os.remove(fr"{main_path}/{kunde}/{start_date_str} - {last_date_str}/{kunde}_Komplett.xlsx") except: next excel_datei = fr"{main_path}/{kunde}/{start_date_str} - {last_date_str}/{kunde}_Komplett.xlsx" workbook = openpyxl.Workbook() worksheet = workbook.active worksheet.title = "Übersicht" font = Font(size=20) font_small = Font(size=16) worksheet.merge_cells('C5:G6') worksheet.merge_cells('C7:G7') worksheet.merge_cells('C8:E8') worksheet.merge_cells('C10:E10') worksheet.merge_cells('C12:E12') worksheet.merge_cells('C14:E14') worksheet['C5'] = "Übersicht" worksheet['C5'].font = font worksheet['C7'] = f"{start_date_str} - {last_date_str}" worksheet['C7'].font = font_small worksheet['C10'] = "RDS-User" worksheet['C10'].font = font_small worksheet['G10'] = "=COUNTIF('RDS - User'!G2:G50;\"-\")" if table_exists: worksheet['C12'] = "Exchange-User" worksheet['C12'].font = font_small worksheet['G12'] = "=COUNTIF('Exchange - User'!D2:D50;\"<>\"&\"*Exchange - Deaktiviert*\")+1" else: next worksheet['C14'] = "Server-Cores" worksheet['C14'].font = font_small worksheet['G14'] = "=COUNTIF('Server'!J2:J50)*8/2" workbook.save(excel_datei) csv_datei = fr'{main_path}/{kunde}/{start_date_str} - {last_date_str}/RAW/RDS-User - {kunde} - {start_date_00.strftime("%Y-%m-%d")}.csv' df = pd.read_csv(csv_datei, sep=";", encoding="utf-8") # Leere Felder mit "-" füllen df = df.fillna("-") df["time"] = pd.to_datetime(df["time"], unit='s') # Excel-Datei erstellen und Daten schreiben excel_datei = fr"{main_path}/{kunde}/{start_date_str} - {last_date_str}/{kunde}_Komplett.xlsx" if os.path.exists(excel_datei): mode = 'a' else: mode = 'w' with pd.ExcelWriter(excel_datei, engine='openpyxl', mode=f'{mode}') as writer: df.to_excel(writer, index=False, sheet_name=f'RDS - User') workbook = writer.book worksheet = writer.sheets[f'RDS - User'] worksheet.auto_filter.ref = "A1:J1" # Spaltenbreite festlegen for column in worksheet.columns: max_length = 0 column_letter = column[0].column_letter for cell in column: try: if len(str(cell.value)) > max_length: max_length = len(cell.value) except: pass adjusted_width = (max_length + 2) * 1.2 worksheet.column_dimensions[column_letter].width = adjusted_width if table_exists: csv_datei = fr'{main_path}/{kunde}/{start_date_str} - {last_date_str}/RAW/Exchange-User - {kunde} - {start_date_00.strftime("%Y-%m-%d")}.csv' df = pd.read_csv(csv_datei, sep=";", encoding="utf-8") # Leere Felder mit "-" füllen df = df.fillna("-") df["time"] = pd.to_datetime(df["time"], unit='s') # Excel-Datei erstellen und Daten schreiben excel_datei = fr"{main_path}/{kunde}/{start_date_str} - {last_date_str}/{kunde}_Komplett.xlsx" if os.path.exists(excel_datei): mode = 'a' else: mode = 'w' with pd.ExcelWriter(excel_datei, engine='openpyxl', mode=f'{mode}') as writer: df.to_excel(writer, index=False, sheet_name=f'Exchange - User') workbook = writer.book worksheet = writer.sheets[f'Exchange - User'] worksheet.auto_filter.ref = "A1:E1" # Spaltenbreite festlegen for column in worksheet.columns: max_length = 0 column_letter = column[0].column_letter for cell in column: try: if len(str(cell.value)) > max_length: max_length = len(cell.value) except: pass adjusted_width = (max_length + 2) * 1.2 worksheet.column_dimensions[column_letter].width = adjusted_width csv_datei = fr'{main_path}/{kunde}/{start_date_str} - {last_date_str}/RAW/SERVER - {kunde} - {start_date_00.strftime("%Y-%m-%d")}.csv' df = pd.read_csv(csv_datei, sep=";", encoding="utf-8") # Leere Felder mit "-" füllen df = df.fillna("-") # df["time"] = pd.to_datetime(df["time"], unit='s') # Excel-Datei erstellen und Daten schreiben excel_datei = fr"{main_path}/{kunde}/{start_date_str} - {last_date_str}/{kunde}_Komplett.xlsx" if os.path.exists(excel_datei): mode = 'a' else: mode = 'w' with pd.ExcelWriter(excel_datei, engine='openpyxl', mode=f'{mode}') as writer: df.to_excel(writer, index=False, sheet_name=f'Server') workbook = writer.book worksheet = writer.sheets[f'Server'] worksheet.auto_filter.ref = "A1:J1" # Spaltenbreite festlegen for column in worksheet.columns: max_length = 0 column_letter = column[0].column_letter for cell in column: try: if len(str(cell.value)) > max_length: max_length = len(cell.value) except: pass adjusted_width = (max_length + 2) * 1.2 worksheet.column_dimensions[column_letter].width = adjusted_width # # os.mkdir("") # # # # print(table_exists) # # # # c = canvas.Canvas(fr"{i}/{start_date_str} - {last_date_str}/PDF_Export Stand({last_date_str}).pdf", pagesize=letter) # # # Hier können Sie IhrenCode zum Hinzufügen von Daten zur PDF einfügen # # c.setFont("Helvetica", 10) # # c.drawString(50, 750, f"Create Date - {datetime.now().strftime("%d-%M-%Y")}") # # c.drawImage("Firmen-Logo.png", x=450, y=730, width=150, height=40) # # c.setFont("Helvetica", 12) # # c.drawString(100, 680, "REPORT der RDP / Exchange User der Firma bla") # # # # k = 10 # # n = 650 # # x = 100 # # t = 0 # # if n < 50: # # if t == 1: # # x = 400 # # n = 650 # # print(x) # # print("insede") # # else: # # x = 250 # # n = 650 # # t += 1 # # c.setFont("Helvetica", 8) # # c.drawString(x, n, f"Zeitraum: {i}") # # c.drawString(x, n - 10, f"Aktive RDS-User: {i}") # # c.drawString(x, n - 20, f"Deaktivierte RDS-User: {i}") # # if table_exists: # # c.drawString(x, n - 30, f"Aktive EX-User: {i}") # # c.drawString(x, n - 40, f"Deaktivierte EX-User: {i}") # # n = n - 60 # # c.save() # # subprocess.Popen(["start", "output.pdf"], shell=True) cursor.close() mydb.close() os.system(f'chmod 777 -R "/docker/app_data/data/karstenstoecker/files/Stines GmbH/1. Verwaltung/4. Verträge/2. Zulieferer - Dienstleister/MS - SPLA/Insight/Reports/{year}"') os.system(f"/bin/bash -c 'docker exec -u www-data app-server /bin/bash -c 'php occ files:scan --path=karstenstoecker/files/Stines\ GmbH/1.\ Verwaltung/4.\ Verträge/2.\ Zulieferer\ -\ Dienstleister/MS\ -\ SPLA/Insight/Reports/''") ## SEND Pushover ## conn = http.client.HTTPSConnection("api.pushover.net:443") conn.request("POST", "/1/messages.json", urllib.parse.urlencode({ "token": "avzcexyjeu7y71pcskwshyx8ytmq8i", "user": "uo2sf2pmrtjvt8auu786fviabimimr", "message": "Reporting was running!", }), { "Content-type": "application/x-www-form-urlencoded" }) conn.getresponse()