From e15aef6b6bb2d2676c7ecf8fe62a61098acb26a5 Mon Sep 17 00:00:00 2001
From: cynic <cynic@noreply.localhost>
Date: Sun, 8 Dec 2024 12:27:33 -0600
Subject: [PATCH] Add mass_unban.py

---
 mass_unban.py | 52 +++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 52 insertions(+)
 create mode 100644 mass_unban.py

diff --git a/mass_unban.py b/mass_unban.py
new file mode 100644
index 0000000..85dcb5a
--- /dev/null
+++ b/mass_unban.py
@@ -0,0 +1,52 @@
+#!/usr/bin/env python3
+import requests
+import json
+
+# define room, server domain, and authorization token
+ROOM_ID = "!string@domain.tld"
+DOMAIN = "matrix.domain.tld"
+AUTH_TOKEN = 'syt_tokentokentoken'
+
+
+# unban query url
+URL = f"https://{DOMAIN}/_matrix/client/r0/rooms/{ROOM_ID}/members?membership=ban"
+
+def mass_unban(matching_keys):
+  for i in matching_keys:
+    print("Unbanning id " + i + " ...")
+    headers = { "Authorization": f"Bearer {AUTH_TOKEN}" }
+    # unban the given id
+    response_unban = requests.get(URL, headers=headers)
+    # check if the request was successful
+    if response.status_code == 200:
+      print("Id unbanned successfully.\n")
+    else:
+      print(f"Error: {response.status_code} - {response.text}")
+
+# prompt the user for a keyword and make the query
+keyword = input("Please enter keyword for search (for example the domain): ")
+print("")
+headers = { "Authorization": f"Bearer {AUTH_TOKEN}" }
+response = requests.get(URL, headers=headers)
+
+# check if the request was successful
+if response.status_code == 200:
+    # parse the JSON response
+    data = response.json()
+    # extract and filter the state keys based on the keyword
+    matching_keys = [member['state_key'] for member in data.get('chunk', []) if keyword in member['state_key']]
+    # print the matching state keys
+    for key in matching_keys:
+        print(key)
+    # confirm action with the user
+    print("\nThe users above are about to be unbanned...")
+    answer = input("Continue? ")
+    if answer.lower() in ["y","yes"]:
+      # trigger mass unban on the filtered list
+      mass_unban(matching_keys)
+    elif answer.lower() in ["n","no"]:
+      print("Thank you.")
+      quit()
+else:
+    print(f"Error: {response.status_code} - {response.text}")
+    quit(1)