sebastian.serfling
parent
b341ae404d
commit
2500cf9999
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@ -0,0 +1,96 @@
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# Funktion zum Konvertieren des LastLogonTimestamp in Datum
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function Convert-LastLogonTimestamp {
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param (
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[Parameter(Mandatory = $true)]
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[long]$Timestamp
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)
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$DateTime = [DateTime]::FromFileTime($Timestamp)
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return $DateTime
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}
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# Funktion zum Abrufen der lokalen IP-Adresse
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function Get-LocalIPAddress {
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$ipAddress = [System.Net.Dns]::GetHostAddresses([System.Net.Dns]::GetHostName()) |
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Where-Object { $_.AddressFamily -eq 'InterNetwork' } |
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Select-Object -First 1
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return $ipAddress.IPAddressToString
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}
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# Gruppe "Users" abrufen
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$groupName = "Reporting"
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$group = Get-ADGroup -Filter { Name -eq $groupName }
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if ($group -eq $null) {
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Write-Error "Gruppe '$groupName' wurde nicht gefunden."
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exit
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}
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# Mitglieder der Gruppe abrufen
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$groupMembers = Get-ADGroupMember -Identity $group -Recursive | Where-Object { $_.objectClass -eq 'user' }
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# Abrufen der lokalen IP-Adresse
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$localIPAddress = Get-LocalIPAddress
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# Erstellen einer Hash-Tabelle zum Speichern der letzten Anmeldeinformationen für jeden Benutzer
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$userLogins = @{}
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# Umwandeln der Benutzerinformationen und Ausgabe zur Konsole
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foreach ($member in $groupMembers) {
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$user = Get-ADUser -Identity $member.SamAccountName -Properties LastLogonTimestamp,createTimeStamp
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$lastLogonDateTime = if ($user.LastLogonTimestamp) { (Convert-LastLogonTimestamp -Timestamp $user.LastLogonTimestamp).ToString("yyyy-MM-dd HH:mm:ss") } else { ($user.createTimeStamp).ToString("yyyy-MM-dd HH:mm:ss") }
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$convertedUser = [PSCustomObject]@{
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username = $user.SamAccountName
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lastaccess = $lastLogonDateTime
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ipaddress = $localIPAddress
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}
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# Ausgabe des konvertierten Benutzers zur Konsole
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Write-Output $convertedUser
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# Rückgabe des konvertierten Benutzers für JSON-Umwandlung
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$userLogins[$user.SamAccountName] = $convertedUser
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}
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# Define the JSON file path with current date and hour
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$dateString = (Get-Date).ToString("yyyyMMdd_HH-mm")
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$jsonPath = "C:\Scripte\LastLogins_$dateString.json"
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# Output the last login event for each user to the JSON file
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$userLoginsArray = $userLogins.GetEnumerator() | ForEach-Object {
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$_.Value
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}
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$userLoginsArray | ConvertTo-Json | Set-Content -Path $jsonPath -Encoding UTF8
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Write-Output "JSON file created at $jsonPath"
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# API endpoint URL
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$apiUrl = "http://api.stines.de:8001/report"
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# Your API key
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$headers = New-Object "System.Collections.Generic.Dictionary[[String],[String]]"
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$headers.Add("Content-Type", "application/json")
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$headers.Add("access_token", "^YWUbG7yX*V!tV^KBSd*2c&vdN3wV9a2i7f3hfGFMBYFxi6#mMiJGiaA5KEHE%B*miK%qb7rQ67gmcYP@gqmux8")
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# Loop through the collected user logins and send each as a JSON payload to the API
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foreach ($userLogin in $userLoginsArray) {
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$userLoginObject = $userLogin | Select-Object username, lastaccess, ipaddress
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# Convert the user login object to JSON
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$jsonPayload = $userLoginObject | ConvertTo-Json -Depth 3
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# Encode JSON payload in UTF-8
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$utf8JsonPayload = [System.Text.Encoding]::UTF8.GetBytes($jsonPayload)
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# Send the JSON payload to the API
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try {
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$response = Invoke-RestMethod -Uri $apiUrl -Method Post -Body $utf8JsonPayload -ContentType 'application/json' -Headers $headers
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Write-Output "Sent login data for user $($userLoginObject.username) to the API. Response: $response"
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} catch {
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Write-Error "Failed to send login data for user $($userLoginObject.username). Error: $_"
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}
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}
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Write-Output "Finished sending login data to the API"
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@ -1,9 +0,0 @@
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## Abfrage des Eregniss für Userlogin (lastacces)
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## Abfrage Gruppen (groups)
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## Abfrage Festplatten Belegung (space_used)
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## Abfrage Profile Ordner Belegung (services_space_used) -> übergabe item & spaceused
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## Abfrage Updates (updates = yes/no)
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@ -1,117 +0,0 @@
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import msal
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import requests
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import pandas as pd
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from datetime import datetime
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# Konfigurationsvariablen
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client_id = '90571c9b-d407-4d2a-aadd-4a523ff85296'
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client_secret = 'ryp8Q~qr6LBOUL2G333a.mf-vg5V..ONl7qJTdza'
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tenant_id = '9e449aaa-285c-4572-a132-58db027026d0'
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api_server_endpoint = "http://api.stines.de:8001/office/post"
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# headers = 'access_token':'^YWUbG7yX*V!tV^KBSd*2c&vdN3wV9a2i7f3hfGFMBYFxi6#mMiJGiaA5KEHE%B*miK%qb7rQ67gmcYP@gqmux8'
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# Die URL für das Token
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authority = f'https://login.microsoftonline.com/{tenant_id}'
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# Der Scope für die Microsoft Graph API
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scope = ['https://graph.microsoft.com/.default']
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# MSAL-Instanz erstellen
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app = msal.ConfidentialClientApplication(
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client_id,
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authority=authority,
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client_credential=client_secret,
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)
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# Token erhalten
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result = None
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result = app.acquire_token_silent(scope, account=None)
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if not result:
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print("Kein Caching vorhanden, holen Sie ein neues Token.")
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result = app.acquire_token_for_client(scopes=scope)
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print(result)
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if "access_token" in result:
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# Token erfolgreich erhalten
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access_token = result['access_token']
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print(access_token)
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# API-Endpunkt für aktive Office-Pakete
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endpoint = "https://graph.microsoft.com/v1.0/users?$select=userPrincipalName,assignedLicenses,signInActivity"
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headers = {
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'Authorization': f'Bearer {access_token}',
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'Content-Type': 'application/json'
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}
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response = requests.get(endpoint, headers=headers)
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if response.status_code == 200:
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# Die Antwort als JSON behandeln
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data = response.json()
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# Extrahieren der Benutzerdaten aus dem JSON
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users = data.get('value', [])
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# Die `skuId` und `lastNonInteractiveSignInDateTime` extrahieren und hinzufügen
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user_list = []
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for user in users:
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if 'assignedLicenses' in user:
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for license in user['assignedLicenses']:
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if 'skuId' in license:
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user_copy = user.copy()
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user_copy['skuId'] = license['skuId']
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if user_copy.get('signInActivity'):
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sign_in_time = user_copy['signInActivity'].get('lastNonInteractiveSignInDateTime')
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if sign_in_time:
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user_copy['lastNonInteractiveSignInDateTime'] = datetime.strptime(sign_in_time,'%Y-%m-%dT%H:%M:%SZ').strftime('%Y-%m-%d %H:%M:%S')
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else:
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user_copy['lastNonInteractiveSignInDateTime'] = None
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else:
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user_copy['lastNonInteractiveSignInDateTime'] = None
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user_list.append(user_copy)
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# Filtern der Benutzer, die eine `skuId` haben
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users_with_skuId = [user for user in user_list if user['skuId']]
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# Konvertieren der Benutzerdaten in ein DataFrame
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df = pd.DataFrame(users_with_skuId)
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# Pandas Anzeigeoptionen anpassen
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pd.set_option('display.max_columns', None)
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pd.set_option('display.max_rows', None)
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pd.set_option('display.max_colwidth', None)
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pd.set_option('display.width', 1000)
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# Alles nach dem @ im "User Principal Name" entfernen
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if 'userPrincipalName' in df.columns:
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df['userPrincipalName'] = df['userPrincipalName'].str.split('@').str[0]
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# Nur die gewünschten Spalten auswählen und an die API-Server übergeben
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selected_columns = df[["userPrincipalName", "skuId", "lastNonInteractiveSignInDateTime"]]
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reporting_date = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
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for index, row in selected_columns.iterrows():
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payload = {
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"itemkey": row["skuId"],
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"username": row["userPrincipalName"],
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"reportingdate": reporting_date,
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"lastaccess": row["lastNonInteractiveSignInDateTime"]
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}
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api_response = requests.post(api_server_endpoint, json=payload, headers= {'access_token':'^YWUbG7yX*V!tV^KBSd*2c&vdN3wV9a2i7f3hfGFMBYFxi6#mMiJGiaA5KEHE%B*miK%qb7rQ67gmcYP@gqmux8'})
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if api_response.status_code == 200:
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print(f"Erfolgreich gesendet: {payload}")
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else:
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print(f"Fehler beim Senden von {payload}: {api_response.status_code} - {api_response.text}")
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else:
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print(f"Fehler beim Abrufen der Daten: {response.status_code}")
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print(f"Antwort: {response.text}")
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else:
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print("Fehler beim Abrufen des Tokens")
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print(result.get("error"))
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print(result.get("error_description"))
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print(result.get("correlation_id"))
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@ -0,0 +1,10 @@
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import os
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import sys
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import requests
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current_version = []
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new_version = []
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# Get Current Version of Files -> Verionfile txt on /opt/agents/version.txt
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# Check Verison on Github by Curl https://gitlab.stines.de
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