Change many

main
Sebastian Serfling 2025-02-18 13:49:58 +01:00
parent 0479efe41d
commit f9cdb9ae0c
8 changed files with 493 additions and 114 deletions

3
.idea/.gitignore vendored Normal file
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# Default ignored files
/shelf/
/workspace.xml

10
.idea/REPORT_Export.iml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<module type="PYTHON_MODULE" version="4">
<component name="NewModuleRootManager">
<content url="file://$MODULE_DIR$">
<excludeFolder url="file://$MODULE_DIR$/.venv" />
</content>
<orderEntry type="inheritedJdk" />
<orderEntry type="sourceFolder" forTests="false" />
</component>
</module>

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<component name="InspectionProjectProfileManager">
<settings>
<option name="USE_PROJECT_PROFILE" value="false" />
<version value="1.0" />
</settings>
</component>

7
.idea/misc.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="Black">
<option name="sdkName" value="Python 3.12 (REPORT_Export)" />
</component>
<component name="ProjectRootManager" version="2" project-jdk-name="Python 3.12 (REPORT_Export)" project-jdk-type="Python SDK" />
</project>

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.idea/modules.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="ProjectModuleManager">
<modules>
<module fileurl="file://$PROJECT_DIR$/.idea/REPORT_Export.iml" filepath="$PROJECT_DIR$/.idea/REPORT_Export.iml" />
</modules>
</component>
</project>

6
.idea/vcs.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<project version="4">
<component name="VcsDirectoryMappings">
<mapping directory="$PROJECT_DIR$" vcs="Git" />
</component>
</project>

205
main.py
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@ -11,6 +11,7 @@ import http.client, urllib
from openpyxl.styles import Alignment, Font
import subprocess
date = datetime.now() - timedelta(1)
month = datetime.now().strftime("%m")
year = datetime.now().strftime("%Y")
@ -18,27 +19,42 @@ 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")
print(date)
main_path = fr"/docker/app_data/data/karstenstoecker/files/Stines GmbH/1. Verwaltung/4. Verträge/2. Zulieferer - Dienstleister/MS - SPLA/Insight/Reports/{year}"
mydb = mysql.connector.connect(
host="172.17.1.21",
port="3306",
user="root",
password="N53yBCswuawzBzS445VNAhWVMs3N59Gb9szEsrzXRBzarDqpdETpQeyt5v5CGe",
database="Stines-GmbH",
database="Kunden",
auth_plugin='mysql_native_password',
)
mydb.connect()
cursor = mydb.cursor()
cursor.execute("SELECT Datenbank FROM Kunden GROUP by Datenbank")
cursor.execute(f"""SELECT ANY_VALUE(c.companyname) AS companyname,
ANY_VALUE(c.customer_ID) AS customer_ID,
ANY_VALUE(cs.services_ID)
FROM Kunden.company c
INNER JOIN Kunden.`customers.services` cs ON cs.customer_ID = c.customer_ID
WHERE cs.`services_ID` IN (100, 101)
GROUP BY c.customer_ID;
""")
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")
kunde = i[0]
komplett_pfad = fr"{main_path}/{kunde}/{start_date_str} - {last_date_str}/{kunde}_Komplett.xlsx"
if os.path.exists(komplett_pfad):
os.remove(komplett_pfad)
print(f"Removed file: {komplett_pfad}")
else:
print(f"File not found: {komplett_pfad}")
if os.path.exists(fr"{main_path}/{i}/{start_date_str} - {last_date_str}/RAW"):
next
else:
try:
os.mkdir(fr"{main_path}")
except:
next
try:
os.mkdir(fr"{main_path}/{kunde}")
except:
@ -51,43 +67,50 @@ for i in kunden:
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()}')
cursor.execute(f"""SELECT DISTINCT u.username, us.status, us.timestamp as Last_Status
FROM Kunden.`users.status` us
JOIN Kunden.users u ON u.user_ID = us.user_id
JOIN Kunden.`users.services` uss ON us.user_id = uss.user_id
JOIN Kunden.services s ON uss.service_ID = s.service_ID
JOIN Kunden.company c ON c.customer_ID = us.customer_ID
WHERE c.customer_ID = {i[1]}
""")
csv_writer.writerow([i[0] for i in cursor.description])
csv_writer.writerows(cursor.fetchall())
## AD - User Export ENDE ##
## SERVER - Export START ##
# ## 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")
#print(f"SELECT * FROM Kunden.server s WHERE s.customer_ID = 2 AND `Windows-Key` IS NOT NULL")
cursor.execute(f"""SELECT s.hostname,s.privat_ipaddress,s.public_ipaddress, s.macaddress, s.ram ,hc.name as CPUName, hc.typ as Servertyp, hc.ghz as GhZ, hc.core as Kerne, s.os as OS, ss.name as ServiceName, s.licensekey as Lizenzschlüssel, s.status as Serverstatus FROM Kunden.server s
JOIN Kunden.`hardware.cpu` hc ON hc.cpu_ID = s.CPU_ID
Join Kunden.services ss ON s.service_ID = ss.service_ID WHERE s.customer_ID = {i[1]} and `licensekey` 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 ##
# ## 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%"')
cursor.execute(f"select username as Username, reportingdate, lastaccess from Kunden.`services.reporting` sr where sr.customer_ID = {i[1]} and sr.service_ID = 101 and sr.reportingdate LIKE '%{date.strftime('%Y-%m-%d')}%';")
#cursor.execute(f"select username as Username, reportingdate, lastaccess from Kunden.`services.reporting` sr where sr.customer_ID = {i[1]} and sr.service_ID = 101 and DATE(sr.reportingdate) = CURDATE();")
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:
## RDS - User Export ENDE ##
## EX - User Export Start ##
if i[2] == 100:
with open(fr'{main_path}/{kunde}/{start_date_str} - {last_date_str}/RAW/EX-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%" ')
cursor.execute(f"""select u.username as Username, u.primarymail as EMailAdresse,sr.reportingdate as ReportDate, sr.lastaccess as LastAccess from Kunden.`services.reporting` sr
JOIN Kunden.users u ON u.username = sr.username
where sr.customer_ID = {i[1]} and sr.service_ID = 100 and sr.reportingdate LIKE '%{date.strftime('%Y-%m-%d')}%';""")
csv_writer.writerow([i[0] for i in cursor.description])
csv_writer.writerows(cursor.fetchall())
## RDS - User Export ENDE ##
else:
next
## EX - User Export ENDE ##
## RAW EXPORT ENDE ##
## CREATE Excel Sheet from csv Export ##
## EXPORT to AD- User Excel-Sheet ##
@ -95,7 +118,7 @@ for i in kunden:
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')
#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):
@ -148,86 +171,11 @@ for i in kunden:
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')
#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):
@ -251,13 +199,41 @@ for i in kunden:
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'
if i[2] == 100:
## Export Mailbox if Service 100 exist on Customer ##
csv_datei = fr'{main_path}/{kunde}/{start_date_str} - {last_date_str}/RAW/EX-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')
#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
csv_datei = fr'{main_path}/{kunde}/{start_date_str} - {last_date_str}/RAW/EX-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):
@ -281,6 +257,9 @@ for i in kunden:
pass
adjusted_width = (max_length + 2) * 1.2
worksheet.column_dimensions[column_letter].width = adjusted_width
else:
next
## Export Server ##
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
@ -349,14 +328,12 @@ 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 ##
# 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!",
"message": "SPLA Reporting was running!",
}), { "Content-type": "application/x-www-form-urlencoded" })
conn.getresponse()
conn.getresponse()

362
main_old.py Normal file
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@ -0,0 +1,362 @@
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()