.gitignore

@@ -4,3 +4,11 @@
 *__pycache__*
 *.parquet
 chunkinator.json
+jobs.json
+*.xl*
+*.exe
+securitytest.py
+*.toml
+system_config.json
+Development/
+AirlockTools_client*/

AirlockTools.py

@@ -1,257 +0,0 @@
-#    Copyright (C) 2025 James Brotosky, Brandon Wickline
-#
-#    This program is free software: you can redistribute it and/or modify
-#    it under the terms of the GNU Affero General Public License as published
-#    by the Free Software Foundation, either version 3 of the License, or
-#    (at your option) any later version.
-#
-#    This program is distributed in the hope that it will be useful,
-#    but WITHOUT ANY WARRANTY; without even the implied warranty of
-#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-#    GNU Affero General Public License for more details.
-#
-#    You should have received a copy of the GNU Affero General Public License
-#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
-
-import dotenv
-import os
-import pandas as pd
-import urllib3
-import utils.allowlist
-import utils.getdeviceevents
-import utils.hashfunctions
-import utils.pathfunctions
-import utils.policyfunctions
-import utils.pretty as ct
-
-
-urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
-
-dotenv.load_dotenv()
-
-#Constants
-url = os.getenv('url')
-bad_publisher_list = ["Brave","Zoom", "GlavSoft", "VNC"]
-pups = ["logmein", "invalid", "nmap"]
-badpathparts = ["users", "wwwroot", "windows\\temp", "windows\\task", "windows\\system32", "startup", "windows\\fonts", "Recycle.Bin", "AppData", "programdata", "Solarwinds", "kaseya"]
-path_exclusion_constant = 4
-min_files_for_path = 4
-threat_tolerance_constant = 4
-
-def apivalidation(): 
-	match os.getenv('APIKEY'):
-		case '':
-			print(ct.colorText("Please add your API Key to the .env file", "red"))
-		case _:
-			menu_main()
-
-def tryToReadCSV(csv):
-	try:
-		df =pd.read_csv(csv)
-		if df.empty:
-			print(ct.colorText("Error: CSV file has headers but no data rows.", "red"))
-		else:
-			print(ct.colorText(f"Data loaded successfully from {csv}", "green"))
-	except pd.errors.EmptyDataError:
-			print(ct.colorText("Notice : CSV file is completely empty (no headers, no data), falling back to empty frame", "white"))
-			df = pd.DataFrame()  # Create an empty DataFrame as fallback
-	return df
-
-def tryToReadParquet(parquet):
-	try:
-		df = pd.read_parquet(parquet)
-		if df.empty:
-			print(ct.colorText("Error: Parquet file has headers but no data rows.", "red"))
-		else:
-			print(ct.colorText(f"Data loaded successfully from {parquet}", "green"))
-	except pd.errors.EmptyDataError:
-			print(ct.colorText("Notice : Parquet file is completely empty (no headers, no data), falling back to empty frame", "white"))
-			df = pd.DataFrame()  # Create an empty DataFrame as fallback
-	return df
-
-def deduplicate_list(lst):
-    seen = set()
-    return [x for x in lst if not (x in seen or seen.add(x))]
-
-def menu_main():
-	while True:
-		ct.displayIntro();
-		print(ct.colorText("1. Get All Events for Single Device", "yellow"))
-		print(ct.colorText("2. Placeholder for Local Approval", "yellow"))
-		print(ct.colorText("3. Placeholder for Another Tool", "yellow"))
-		print(ct.colorText("4. Prepare Policy For Enforcement", "yellow"))
-		print(ct.colorText("Q. Quit", "yellow"))
-
-		choice = input(ct.colorText("\nEnter Menu Item: ", "white"))
-		if choice == '1':
-			utils.getdeviceevents.devicehistory(url,False)
-		elif choice == "2":
-			menu_local_approve()
-		elif choice == "3":
-			menu_feature2()
-		elif choice == "4":
-			menu_prepare_to_enforce()
-		elif choice == "Q":
-			break
-		else:
-			print(ct.colorText("Invalid choice. Please try again.","red"))			
-
-def menu_local_approve():
-   while True:
-        print("\n--- Submenu ---")
-        print("1. Sub-option A")
-        print("2. Sub-option B")
-        print("3. Return to Main Menu")
-        choice = input("Enter your choice: ")
-
-        if choice == "1":
-            print("You selected Sub-option A")
-        elif choice == "2":
-            print("You selected Sub-option B")
-        elif choice == "3":
-            print("Returning to Main Menu...")
-            break
-        else:
-            print("Invalid choice. Please try again.")
-
-def menu_feature2():
-   while True:
-        print("\n--- Submenu ---")
-        print("1. Sub-option A")
-        print("2. Sub-option B")
-        print("3. Return to Main Menu")
-        choice = input("Enter your choice: ")
-
-        if choice == "1":
-            print("You selected Sub-option A")
-        elif choice == "2":
-            print("You selected Sub-option B")
-        elif choice == "3":
-            print("Returning to Main Menu...")
-            break
-        else:
-            print("Invalid choice. Please try again.")
-
-def menu_prepare_to_enforce():
-
-	first_policy = " "
-	second_policy = " "
-	destination_name = " "
-	destination_id = " "
-	allowlist_parent_name = " "
-	allowlist_parent_id = " "
-	allowlist_child_name = " "
-	allowlist_child_id = " "
-	
-	#If the directorys where we're going to store our output dont exist, make them. 
-	if not os.path.exists("parquet"): os.makedirs("parquet")
-	if not os.path.exists("needs_approved"): os.makedirs("needs_approved")
-	if not os.path.exists("approved"): os.makedirs("approved")
-	if not os.path.exists("preflight"): os.makedirs("preflight")
-
-	while True:
-		
-		ct.printEnforceChecklist(first_policy, second_policy, allowlist_child_name, allowlist_parent_name, destination_name)
-		
-		choice = input(ct.colorText("\nEnter your choice: ", "white"))
-		
-		if choice == "1":
-			
-			choice, policynames, policyid = utils.allowlist.listPolicies(url)
-			first_policy = policynames[choice]
-			while True:
-				answer = input(ct.colorText(f"{"Do you want to load a second policy?"} (yes/no): ", "white").strip().lower())
-				if answer in ("yes", "y"):
-					choice, policynames, policyid = utils.allowlist.listPolicies(url)
-					second_policy = policynames[choice]
-			
-					break 
-				elif answer in ("no", "n"):
-					second_policy = first_policy
-					break
-				else:
-					print(ct.colorText("Please answer with 'yes' or 'no'.", "red"))
-
-		elif choice == "2":
-
-			if not os.path.exists(f"parquet\\execution_history_{first_policy}.parquet"):
-				utils.policyfunctions.getPolicyInfo(url, first_policy, 60)
-
-			if not os.path.exists(f"parquet\\execution_history_{second_policy}.parquet"):
-				utils.policyfunctions.getPolicyInfo(url, second_policy, 60)
-
-			if not os.path.exists(f"parquet\\combined_hashlist_{first_policy}_{second_policy}.parquet"):
-				utils.hashfunctions.combineHashes(url, first_policy, second_policy)
-
-			if not os.path.exists(f"parquet\\hashes_rep_unknown_{first_policy}_{second_policy}.parquet") and not os.path.exists(f"parquet\\hashes_rep_good_{first_policy}_{second_policy}.parquet") and not os.path.exists(f"parquet\\hashes_rep_bad_{first_policy}_{second_policy}.parquet"):
-				utils.hashfunctions.categorizeHashes(
-					first_policy,
-					second_policy,
-					pd.read_parquet(f"parquet\\combined_hashlist_{first_policy}_{second_policy}.parquet"),
-					threat_tolerance_constant,
-					bad_publisher_list,
-					pups
-				)
-						
-			if not os.path.exists(f"parquet\\condensed_executions_{first_policy}_{second_policy}.parquet"):
-				utils.hashfunctions.condenseExecutions(first_policy,second_policy)
-				
-			if os.path.exists(f"parquet\\hashes_rep_unknown_{first_policy}_{second_policy}.parquet") & os.path.exists(f"parquet\\hashes_rep_good_{first_policy}_{second_policy}.parquet") & os.path.exists(f"parquet\\hashes_rep_bad_{first_policy}_{second_policy}.parquet"):
-				utils.hashfunctions.divideSortedHashExecutions(first_policy,second_policy,pups)
-				
-		elif choice == "3":
-			
-			if os.path.exists(f"approved\\hashes_rep_unknown_{first_policy}_{second_policy}.csv") and os.path.exists(f"approved\\hashes_rep_good_{first_policy}_{second_policy}.csv"):
-				utils.pathfunctions.generatePathReview(first_policy, second_policy, badpathparts, min_files_for_path)
-			else:
-				print(ct.colorText(f"Please manually approve hashes prior to this step","red"))
-					
-		elif choice == "4":
-			
-			if  os.path.exists(f"approved\\path_needs_approved_{first_policy}_{second_policy}.csv"):
-				if not os.path.exists(f"parquet\\final_hash_approvals_{first_policy}_{second_policy}.parquet") and not os.path.exists(f"parquet\\final_path_exclusions_{first_policy}_{second_policy}.parquet"):
-					utils.hashfunctions.generatePreflights(first_policy, second_policy)
-
-		elif choice == "5":
-	
-			print(ct.colorText(f"Please choose destination_name Policy for Path Exclusions","white"))
-			choice, policynames, policyid = utils.allowlist.listPolicies(url)
-			#print(allowlist_parent_tuple)
-			destination_name = policynames[choice]
-			destination_id = policyid[choice]
-			
-			print(ct.colorText(f"Please choose Parent Allowlist for Known Hashes","white"))
-			choice, allowlists,allowid = utils.allowlist.listAllowlists(url)
-			#print(allowlist_parent_tuple)
-			allowlist_parent_name = allowlists[choice]
-			allowlist_parent_id = allowid[choice]
-
-			print(ct.colorText(f"Please choose Child Allowlist for Less-Known Hashes","white"))
-			choice, allowlists, allowid = utils.allowlist.listAllowlists(url)
-			#print(allowlist_child_tuple)
-			allowlist_child_name = allowlists[choice]
-			allowlist_child_id = allowid[choice]
-
-		elif choice == "6":
-			if os.path.exists(f"preflight\\final_path_exclusions_{first_policy}_{second_policy}.html") and os.path.exists(f"preflight\\final_hash_approvals_{first_policy}_{second_policy}.html")	and allowlist_parent_name != " " and allowlist_child_name != " " and destination_name != " ":
-				utils.policyfunctions.sendToPolicy(
-					url,
-					first_policy,
-					second_policy,
-					destination_name,
-					destination_id,
-					allowlist_parent_name,
-					allowlist_parent_id, 
-					allowlist_child_name,
-					allowlist_child_id
-					)
-
-		elif choice == "Q":
-			break
-		else:
-			print(ct.colorText("Invalid choice. Please try again.", "red"))    
-		
-
-if __name__ == "__main__":
-	apivalidation()
-

AirlockTools_Client.py

@@ -0,0 +1,90 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+
+#TODO Continue implementing logger
+#TODO Add input sanitation and CSV injection prevention
+#TODO Continue OTP and Local approval rewrites
+#TODO Explore pywin32
+#TODO Fix Requirements.txt
+#TODO Create Generic system_config.json for gitea
+
+import logging
+import os
+import tempfile
+import dotenv
+import urllib3
+
+from services.API import AirlockAPIWrapper
+from services.security import getAPI
+from utils.setup import get_base_directory, setup
+from utils.TUI import run_AirlockTools
+from utils.utils import irtang
+
+urllib3.disable_warnings(
+    urllib3.exceptions.InsecureRequestWarning
+)
+
+def main():
+    
+    
+    if "NUITKA_ONEFILE_PARENT" in os.environ:
+        splash_filename = os.path.join(
+            tempfile.gettempdir(),
+            f"onefile_{int(os.environ['NUITKA_ONEFILE_PARENT'])}_splash_feedback.tmp"
+        )
+        if os.path.exists(splash_filename):
+            os.unlink(splash_filename)
+
+            
+    
+    irtang()
+    #Determine  working directory, setup directory, configure logging, sent env, get API and URL if not already stored 
+    setup()
+    base_dir = get_base_directory()
+    logger = logging.getLogger(__name__)
+    dotenv.load_dotenv(dotenv_path=base_dir / ".env")
+
+    try:
+            url = os.getenv("URL")
+            username = os.getenv("USERNAME")
+
+            if not url:
+                raise ValueError("Missing URL in environment variables.")
+            if not username:
+                raise ValueError("Missing USERNAME in environment variables.")
+
+            logger.debug(f"Retrieved URL: {url}")
+            logger.debug(f"Retrieved Username: {username}")
+
+    except ValueError as e:
+            logger.error(f"Configuration error: {e}", exc_info=True)
+            raise
+
+    
+    api_key = getAPI(username, "AirlockTools")
+    if api_key is None:
+        raise ValueError("API key for AirlockTools is missing.")
+
+    api = AirlockAPIWrapper(
+        base_url=str(os.getenv("URL")),
+        api_key=api_key,
+    )
+    run_AirlockTools(api)
+
+
+
+if __name__ == "__main__":
+    main()

AirlockTools_Server.py

@@ -0,0 +1,90 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+
+
+#TODO Add CSV injection prevention
+#TODO Continue OTP and Local approval rewrites
+#TODO Explore pywin32
+#TODO Fix Requirements.txt
+#TODO Create Generic system_config.json for gitea
+
+
+import logging
+import os
+
+import dotenv
+import urllib3
+
+import flows.localApproval as la
+from Server.scheduler_async import recurring_job, register_function, reload_jobs, start_scheduler
+from services.API import AirlockAPIWrapper
+from services.policyhandler import updateAuditPoliciesFromEnforcementPolices
+from services.security import getAPI
+from utils.setup import setup
+
+urllib3.disable_warnings(
+    urllib3.exceptions.InsecureRequestWarning
+)
+
+def main():
+
+    #Determine  working directory, setup directory, configure logging, sent env, get API and URL if not already stored 
+  
+    working_dir = setup()
+    
+    logger = logging.getLogger(__name__)
+
+    dotenv.load_dotenv(dotenv_path=working_dir / ".env")
+
+    try:
+            url = os.getenv("URL")
+            username = os.getenv("USERNAME")
+
+            if not url:
+                raise ValueError("Missing URL in environment variables.")
+            if not username:
+                raise ValueError("Missing USERNAME in environment variables.")
+
+            logger.debug(f"Retrieved URL: {url}")
+            logger.debug(f"Retrieved Username: {username}")
+    
+    except ValueError as e:
+            logger.error(f"Configuration error: {e}", exc_info=True)
+            raise
+    
+    api = AirlockAPIWrapper(
+            base_url=str(os.getenv("URL")),
+            api_key = getAPI(username, "AirlockTools"),
+        )    
+ 
+
+    logger.info("Running non-interactively to start monitoring Airlock Changes")
+
+
+    register_function("monitorLA", la.scheduleAddingLAHashes)
+    register_function("updateAuditPolicies", updateAuditPoliciesFromEnforcementPolices)
+
+    
+    if not os.path.exists("scheduling\\jobs.json"): 
+        recurring_job("monitorLA", "monitorLA", interval=50, unit="seconds", args=[api])
+        recurring_job("updateAuditPolicies", "updateAudit", interval=5, unit="minutes", args=[api])
+    else:
+        reload_jobs()
+    
+    start_scheduler()
+        
+if __name__ == "__main__":
+    main()

README.md

@@ -1,14 +1,56 @@
-[![AGPL License](https://img.shields.io/badge/license-AGPL-blue.svg)](http://www.gnu.org/licenses/agpl-3.0)
 
-# Airlock Digital Local Approval
+# 🛡️ Airlock Tools
 
-Python based Carbon Black App Control feature implementation for Airlock
+Python toolkit for secure, auditable, and automated airlock agent and policy management. Designed for enterprise environments, it supports advanced policy workflows, device tracking, and terminal-based interaction.
-## Features
 
-- "Local Approval Initialization" 
+---
-This programmatically scans devices in audit mode within Airlock and subsequently adds the identified blocks to a user-specified whitelist.
+
+
+## 🚀 Features
+- 🔍 **Fuzzy Device Search**  
+  Quickly locate devices using partial or approximate matches.
+
+- 📦 **Batch Move Devices**  
+  Move multiple devices between groups or policies easily.
+
+- 🔄 **Toggle Enforcement/Audit Policies**  
+  Seamlessly switch devices between enforcement and audit modes.
+
+- 🕵️‍♂️ **Device History Search**  
+  Track agent executions.
+
+- 🧰 **Prepare Policies for Enforcement**  
+  Validate and stage policies before pushing them to enforcement.
+
+- 💤 **Find Quiet Hosts**  
+  Identify devices ready for enforcement.
+
+- 🎛️ **TUI**  
+  Navigate with arrow keys and F-key shortcuts using a custom ANSI-colored terminal UI.
+
+---
+
+## 🧭 Roadmap
+
+- ⚙️ **Rust-based Async API Calls**  
+  Improve performance and concurrency with a Rust-powered backend.
+
+- ✅ **Carbon Black-style Local Approval**  
+  Enable local user approvals for policy exceptions and enforcement actions.
+
+- 📊 **Audit Logging & Export**  
+  Add detailed logging and export capabilities for compliance and analysis.
+
+---
+
+## 🧑‍💻 Requirements
+
+[airlock_libs](https://git.racooncity.org/brotoskyj/-/packages/pypi/airlock-libs/0.1.1)
+
+---
+
+## 📜 License
 
-## License
 **AirlockTools** is licensed under the **GNU Affero General Public License v3.0**.
 
 You may copy, distribute, and modify the software under the terms of the AGPL-3.0 license.

Server/scheduler_async.py

@@ -0,0 +1,192 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+import asyncio
+import json
+import logging
+import os
+from typing import Any, Callable, Dict, List
+
+logger = logging.getLogger(__name__)
+
+# Registry of functions that can be scheduled
+FUNCTION_MAP: Dict[str, Callable] = {}
+
+# Dictionary to manually track scheduled jobs by ID
+scheduled_jobs: Dict[str, asyncio.TimerHandle] = {}
+
+# Path to the JSON file for job persistence TODO - pin this to the correct place
+JOBS_FILE = os.path.join(os.getcwd(), "jobs.json")
+
+def register_function(name: str, func: Callable):
+    """
+    Register a function so it can be called by name later.
+    Example:
+        register_function("say_hello", say_hello)
+    """
+    FUNCTION_MAP[name] = func
+
+def load_jobs() -> List[Dict[str, Any]]:
+    """
+    Load jobs from the JSON file, or return [] if none exist.
+    """
+    if not os.path.exists(JOBS_FILE):
+        return []
+    with open(JOBS_FILE, "r") as f:
+        return json.load(f)
+
+def save_jobs(jobs: List[Dict[str, Any]]):
+    """
+    Save jobs to the JSON file (overwrite).
+    """
+    with open(JOBS_FILE, "w") as f:
+        json.dump(jobs, f, indent=4)
+
+def cancel_job(job_id: str):
+    """
+    Cancel a scheduled job by ID and remove it from the registry and persistence.
+    """
+    handle = scheduled_jobs.pop(job_id, None)
+    if handle:
+        handle.cancel()
+        logger.info(f"Cancelled job '{job_id}'")
+
+    jobs = [j for j in load_jobs() if j.get("id") != job_id]
+    save_jobs(jobs)
+
+def run_once_job(job_id: str, func_name: str, delay_seconds: float, args=None, kwargs=None, persist=True):
+    """
+    Schedule a job to run once after a delay (in seconds).
+    """
+    args = args or []
+    kwargs = kwargs or {}
+
+    def job_wrapper():
+        func = FUNCTION_MAP.get(func_name)
+        if func is None:
+            logger.error(f"Function '{func_name}' is not registered.")
+            return
+        func(*args, **kwargs)
+        cancel_job(job_id)
+
+    loop = asyncio.get_event_loop()
+    handle = loop.call_later(delay_seconds, job_wrapper)
+    scheduled_jobs[job_id] = handle
+
+    if persist:
+        jobs = [j for j in load_jobs() if j.get("id") != job_id]
+        jobs.append({
+            "id": job_id,
+            "type": "once",
+            "delay": delay_seconds,
+            "function": func_name,
+            "args": args,
+            "kwargs": kwargs
+        })
+        save_jobs(jobs)
+        logger.info(f"Scheduled one-time job '{job_id}' to run in {delay_seconds} seconds.")
+
+def recurring_job(job_id: str, func_name: str, interval: float, args=None, kwargs=None, persist=True):
+    """
+    Schedule a recurring job.
+    """
+    args = args or []
+    kwargs = kwargs or {}
+
+    def job_wrapper():
+        func = FUNCTION_MAP.get(func_name)
+        if func is None:
+            logger.error(f"Function '{func_name}' is not registered.")
+            return
+        func(*args, **kwargs)
+        # Reschedule the job
+        handle = asyncio.get_event_loop().call_later(interval, job_wrapper)
+        scheduled_jobs[job_id] = handle
+
+    cancel_job(job_id)
+    handle = asyncio.get_event_loop().call_later(interval, job_wrapper)
+    scheduled_jobs[job_id] = handle
+
+    if persist:
+        jobs = [j for j in load_jobs() if j.get("id") != job_id]
+        jobs.append({
+            "id": job_id,
+            "type": "recurring",
+            "interval": interval,
+            "function": func_name,
+            "args": args,
+            "kwargs": kwargs
+        })
+        save_jobs(jobs)
+        logger.info(f"Scheduled recurring job '{job_id}' every {interval} seconds.")
+
+def reload_jobs():
+    """
+    Reload jobs from JSON and reschedule them.
+    """
+    jobs = load_jobs()
+    for job in jobs:
+        if job["type"] == "once":
+            run_once_job(
+                job["id"],
+                job["function"],
+                job["delay"],
+                job.get("args"),
+                job.get("kwargs"),
+                persist=False
+            )
+        elif job["type"] == "recurring":
+            recurring_job(
+                job["id"],
+                job["function"],
+                job["interval"],
+                job.get("args"),
+                job.get("kwargs"),
+                persist=False
+            )
+
+async def start_scheduler():
+    """
+    Start the asynchronous scheduler loop.
+
+    This function is a placeholder to keep the event loop alive.
+    Jobs are scheduled using asyncio.call_later and do not require polling.
+    """
+    try:
+        await asyncio.Event().wait()
+    except asyncio.CancelledError:
+        logger.critical("Scheduler stopped.")
+
+    """
+    Start the asynchronous scheduler loop.
+
+    This function is a placeholder for compatibility. Since we use asyncio.call_later,
+    jobs are scheduled directly on the event loop and no polling is required.
+
+    Usage:
+        # In an async app (e.g., Textual)
+        asyncio.create_task(start_scheduler())
+
+        # Or in a standalone script
+        async def main():
+            await start_scheduler()
+
+        asyncio.run(main())
+    """
+    try:
+        while True:
+            await asyncio.sleep(3600)  # Sleep indefinitely; jobs run via call_later
+    except asyncio.CancelledError:
+        logger.critical("Scheduler stopped.")

airlock_libs/.gitignore

@@ -0,0 +1,3 @@
+/target
+build.sh
+pythontest.py

airlock_libs/README.md

@@ -0,0 +1,59 @@
+
+# Airlock Libs
+
+A Rust implementation of common Airlock API integrations for use in [AirlockTools](https://git.racooncity.org/brotoskyj/AirlockTools)
+
+## Deployment
+
+To install and use this library in a standalone Python script
+### Install Using pip
+Follow the instructions [here](https://git.racooncity.org/brotoskyj/-/packages/pypi/airlock-libs/)
+### Install Wheel
+#### Linux
+
+```bash
+  cd target/wheels/
+  python3 -m pip install airlock_libs-<versionNumber>-cp313-manylinux_2_34_x86_64.whl
+```
+
+#### Windows
+```powershell
+  cd target/wheels
+  python3 -m pip install airlock_libs-<versionNumber>-cp313-win_amd64.whl
+```
+
+or
+
+### Import DLL/SO
+#### Linux
+
+```bash
+cd /target/x86_64-pc-windows-gnu/release/
+Copy libairlock_libs.so to current project directory
+```
+
+#### Windows
+```powershell
+cd /target/x86_64-unknown-linux-gnu/release/
+Copy airlock_libs.dll to current project directory
+```
+## Usage/Examples
+
+```python
+import airlock_libs
+
+def pullExecHistories() {
+  airlock_libs.pull_policy_exec_histories(api, execution_types, checkpoint_number, policy_names)
+}
+```
+
+
+## Features
+
+- Pull Policy Execution Histories
+
+
+## License
+
+[AGPLv3](https://choosealicense.com/licenses/agpl-3.0/)
+

airlock_libs/airlock_libs.pyi

@@ -0,0 +1,87 @@
+from typing import Dict, List, Optional
+def pull_policy_exec_histories(self, type: List[str], checkpoint: str, policy: List[str]) -> str:
+        """Retrieve execution history logs."""
+
+def api(AirlockAPIWrapper):
+    """
+    An implementation of the python AirlockAPIWrapper class to pass Python data into Rust
+
+    Parameters
+    ----------
+    base_url : str
+        (Required) Base URL of the Airlock API, this should be in your .env file.
+    api_key : str
+        (Required) API Key for your profile in airlock, this should be in your credential manager.
+    headers : {"X-APIKey": self.api_key}
+
+    ```def __init__(self, base_url: str, api_key: str):
+            self.base_url = base_ur.rstrip("/")
+            self.api_key = api_key
+            self.headers = {"X-APIKey": self.api_key}
+    ```
+    """
+
+def history_logging(
+        api,
+        exec_types: str,
+        checkpoint_number: str,
+        policy_names: str,
+    ) -> List[Dict[str, Any]]:
+        """
+        Query execution history logs from the Airlock API.
+
+        Parameters
+        ----------
+        exec_types : str
+            A JSON-style string list of execution types to retrieve.
+            Example: "[3,5,8]"
+            - 0 = Trusted Execution
+            - 1 = Blocked Execution
+            - 2 = Untrusted Execution [Audit]
+            - 3 = Untrusted Execution [OTP]
+            - 5 = Trusted Publisher Execution
+            - 8 = Trusted Process Execution
+            (etc.)
+
+        checkpoint_number : str
+            The checkpoint ID. Used to fetch results after a certain event.
+            Example: "601d275487bacb01e3470713"
+
+        policy_names : str
+            A comma-separated or JSON-style list of policy group names.
+            Example: "Apple Mac" or "["Apple Mac", "Servers London"]"
+
+        Returns
+        -------
+        List[Dict[str, Any]]
+            A list of dictionaries, where each dictionary represents an
+            execution history record. Each record can include fields like:
+
+            - checkpoint: str
+            - type: int
+            - username: str
+            - hostname: str
+            - filename: str
+            - ppolicy: str
+            - policyname: str
+            - policyver: str
+            - commandline: str
+            - publisher: str
+            - pprocess: str
+            - gprocess: str
+            - sha256: str
+            - datetime: str
+            - ip: str
+            - localip: str
+        Raises
+        ------
+        RuntimeError
+            If the request fails or the response cannot be parsed.
+
+        Example
+        -------
+        >>> histories = await airlock_libs.history_logging("[3,5,8]", "601d275487bacb01e3470713", "Apple Mac")
+        >>> print(histories[0]["filename"])
+        'chrome.exe'
+        """
+        ...

airlock_libs/rust_rewrite.txt

@@ -0,0 +1,170 @@
+use chrono::{Datelike, Duration, NaiveDate, Utc};
+use indicatif::{ProgressBar, ProgressStyle};
+use serde::{Deserialize, Serialize};
+use serde_json::{json, Value};
+use std::collections::HashMap;
+use std::fs::{self, File};
+use std::io::{Read, Write};
+use std::path::Path;
+
+// Example API response type
+#[derive(Debug, Serialize, Deserialize, Clone)]
+struct HistoryItem {
+    checkpoint: Option<String>,
+    datetime: String,
+    sha256: Option<String>,
+    filename: Option<String>,
+    hostname: Option<String>,
+    // other fields...
+}
+
+// JSON file structure
+#[derive(Debug, Serialize, Deserialize)]
+struct JsonFile {
+    error: String,
+    response: ResponseData,
+}
+
+#[derive(Debug, Serialize, Deserialize)]
+struct ResponseData {
+    exechistories: Vec<HistoryItem>,
+}
+
+// Mock API function
+fn history_logging(_type: &str, checkpoint: &str, _policy: &[&str]) -> Vec<HistoryItem> {
+    // Replace with actual API call
+    vec![]
+}
+
+fn main() {
+    let file_path = Path::new("data/example.json");
+    let mut checkpoint = "initial_checkpoint".to_string();
+    let policy_name = "policy1".to_string();
+    let days = 7;
+
+    // Initialize JSON output
+    let mut json_output = JsonFile {
+        error: "Success".to_string(),
+        response: ResponseData {
+            exechistories: vec![],
+        },
+    };
+
+    // Outer progress bar (filebar)
+    let filebar = ProgressBar::new(10_000);
+    filebar.set_style(
+        ProgressStyle::default_bar()
+            .template("Checkpoint Progress: {msg} [{bar:40.cyan/blue}] {pos}/{len}")
+            .unwrap(),
+    );
+    filebar.set_message(&checkpoint);
+
+    // Inner progress bar (total progress)
+    let pbar = ProgressBar::new(100);
+    pbar.set_style(
+        ProgressStyle::default_bar()
+            .template("Total of {msg} Complete: [{bar:40.cyan/blue}] {pos}/{len}")
+            .unwrap(),
+    );
+    pbar.set_message(&policy_name);
+
+    loop {
+        let histories = history_logging("type", &checkpoint, &[&policy_name]);
+
+        if !histories.iter().all(|h| h.datetime.len() > 0) {
+            eprintln!("Unexpected response format from API.");
+            break;
+        }
+
+        filebar.set_length(histories.len() as u64);
+
+        if histories.is_empty() {
+            break;
+        }
+
+        for (index, history_item) in histories.iter().enumerate() {
+            if history_item.checkpoint.is_none() || history_item.datetime.is_empty() {
+                continue;
+            }
+
+            if index == histories.len() - 1 {
+                checkpoint = history_item.checkpoint.clone().unwrap();
+                filebar.set_message(&checkpoint);
+                break;
+            }
+
+            // Parse date
+            let history_date = match NaiveDate::parse_from_str(
+                &history_item.datetime.replace(" +0000 UTC", ""),
+                "%Y-%m-%dT%H:%M:%SZ",
+            ) {
+                Ok(date) => date,
+                Err(_) => continue,
+            };
+
+            let cutoff = Utc::today().naive_utc() - Duration::days(days);
+            if history_date >= cutoff {
+                json_output.response.exechistories.push(history_item.clone());
+            }
+
+            filebar.inc(1);
+            filebar.tick();
+        }
+
+        // Deduplicate
+        let mut seen: HashMap<(Option<String>, Option<String>, Option<String>), HistoryItem> =
+            HashMap::new();
+
+        let combined = if file_path.exists() {
+            let mut f = File::open(file_path).unwrap();
+            let mut contents = String::new();
+            f.read_to_string(&mut contents).unwrap();
+            let existing_data: JsonFile = serde_json::from_str(&contents).unwrap_or(JsonFile {
+                error: "Success".to_string(),
+                response: ResponseData {
+                    exechistories: vec![],
+                },
+            });
+            [existing_data.response.exechistories, json_output.response.exechistories.clone()]
+                .concat()
+        } else {
+            json_output.response.exechistories.clone()
+        };
+
+        for entry in combined {
+            let key = (entry.sha256.clone(), entry.filename.clone(), entry.hostname.clone());
+            seen.insert(key, entry);
+        }
+
+        let deduplicated: Vec<HistoryItem> = seen.into_values().collect();
+
+        // Write to file
+        let output_file = File::create(file_path).unwrap();
+        serde_json::to_writer_pretty(&output_file, &json!({
+            "error": "Success",
+            "response": { "exechistories": deduplicated }
+        }))
+        .unwrap();
+
+        json_output.response.exechistories.clear();
+
+        // Update inner progress bar (percentage based on last valid item)
+        if let Some(last_item) = histories.last() {
+            if let Ok(last_date) = NaiveDate::parse_from_str(
+                &last_item.datetime.replace(" +0000 UTC", ""),
+                "%Y-%m-%dT%H:%M:%SZ",
+            ) {
+                let date_diff = Utc::today().naive_utc() - last_date;
+                let percentage_diff = ((days + 10) - date_diff.num_days()) as f64 / (days + 10) as f64 * 100.0;
+                pbar.set_position(percentage_diff.round() as u64);
+                pbar.set_message(&policy_name);
+                pbar.tick();
+            }
+        }
+
+        filebar.set_position(1);
+    }
+
+    filebar.finish();
+    pbar.finish();
+}

airlock_libs/src/lib.rs

@@ -0,0 +1,7 @@
+use pyo3::prelude::*;
+mod services;
+#[pymodule]
+fn airlock_libs(py: Python<'_>, m: &Bound<PyModule>) -> PyResult<()> {
+    m.add_function(wrap_pyfunction!(services::pull_policy_exec_histories, py)?)?;
+    Ok(())
+}

airlock_libs/src/services.rs

@@ -0,0 +1,278 @@
+use chrono::{Duration, Local, NaiveDate};
+use indicatif::{MultiProgress, ProgressBar, ProgressDrawTarget, ProgressStyle};
+use mongodb::bson::oid::ObjectId;
+use pyo3::{prelude::*, types::PyString};
+use reqwest::{
+    Client,
+    header::{HeaderMap, HeaderName, HeaderValue},
+};
+use serde::{Deserialize, Serialize};
+use serde_json::Value;
+use std::{
+    collections::HashMap,
+    env,
+    fmt::Write,
+    fs::{self, File},
+    io::Read,
+    path::PathBuf,
+    str::FromStr,
+};
+
+#[derive(Debug, Deserialize, Serialize)]
+struct ApiResponse {
+    error: String,
+    response: ExecHistories,
+}
+#[derive(Debug, Deserialize, Serialize)]
+struct ExecHistories {
+    exechistories: Vec<Group>,
+}
+#[derive(Debug, Deserialize, Serialize, Clone)]
+struct Group {
+    checkpoint: String,
+    #[serde(rename = "type")]
+    exectype: u8,
+    username: String,
+    hostname: String,
+    netdomain: String,
+    filename: String,
+    ppolicy: String,
+    policyname: String,
+    policyver: String,
+    commandline: String,
+    publisher: String,
+    pprocess: String,
+    gprocess: String,
+    sha256: String,
+    datetime: String,
+    md5: String,
+    sha128: String,
+    sha384: String,
+    sha512: String,
+    ip: String,
+    localip: String,
+}
+
+#[pyfunction]
+pub fn pull_policy_exec_histories(
+    py: Python<'_>,
+    py_self: Py<PyAny>,
+    policy_names: String,
+    exec_types: String,
+    days: i64,
+) -> Py<PyString> {
+    let file_path: PathBuf = format!(
+        "{}\\cache\\chunkinator.json",
+        get_base_directory().display()
+    )
+    .into();
+    let writeable_filepath = file_path.clone();
+    if !file_path.exists() {
+        if let Some(parent_dir) = file_path.parent()
+            && !parent_dir.exists()
+        {
+            fs::create_dir_all(parent_dir).unwrap();
+        }
+        fs::File::create(file_path).unwrap();
+    }
+    let data = ApiResponse {
+        error: "Success".to_string(),
+        response: ExecHistories {
+            exechistories: vec![],
+        },
+    };
+    let data_write = serde_json::to_string_pretty(&data).expect("Failed to serialize");
+    fs::write(writeable_filepath.clone(), data_write).unwrap();
+    let mut checkpoint_number: String = skipback(days).to_string();
+    let multi_progress = MultiProgress::new();
+    multi_progress.set_draw_target(ProgressDrawTarget::stdout());
+    let progress_bar = multi_progress.add(ProgressBar::new(100));
+    progress_bar.set_style(
+        ProgressStyle::default_bar()
+            .template("Total Completion: {spinner:.green} [{elapsed_precise}] [{bar:40.green/blue}] {pos}/{len}")
+            .unwrap(),
+    );
+    progress_bar.enable_steady_tick(std::time::Duration::from_millis(100));
+    let client = build_client(py, &py_self);
+    let api: Py<PyAny> = py_self;
+    loop {
+        let execution_histories = history_logging(
+            py,
+            &api,
+            &exec_types,
+            &checkpoint_number,
+            &policy_names,
+            &client,
+        );
+        let parsed_responses = execution_histories.response.exechistories;
+        if parsed_responses.is_empty() {
+            break;
+        }
+        let mut seen: HashMap<(String, String, String), Group> = if writeable_filepath.exists() {
+            let mut f = File::open(&writeable_filepath).unwrap();
+            let mut contents = String::new();
+            f.read_to_string(&mut contents).unwrap();
+            let existing_data: ApiResponse =
+                serde_json::from_str(&contents).unwrap_or(ApiResponse {
+                    error: "Success".to_string(),
+                    response: ExecHistories {
+                        exechistories: vec![],
+                    },
+                });
+            existing_data
+                .response
+                .exechistories
+                .into_iter()
+                .map(|entry| {
+                    (
+                        (
+                            entry.sha256.clone(),
+                            entry.filename.clone(),
+                            entry.hostname.clone(),
+                        ),
+                        entry,
+                    )
+                })
+                .collect()
+        } else {
+            HashMap::new()
+        };
+        for (index, executions) in parsed_responses.iter().enumerate() {
+            if executions.checkpoint.is_empty() || executions.datetime.is_empty() {
+                continue;
+            }
+            if index == parsed_responses.len() - 1 {
+                checkpoint_number = executions.checkpoint.clone();
+                break;
+            }
+            let history_date = match NaiveDate::parse_from_str(
+                &executions.datetime.replace(" +0000 UTC", ""),
+                "%Y-%m-%dT%H:%M:%SZ",
+            ) {
+                Ok(date) => date,
+                Err(_) => continue,
+            };
+            let cutoff = Local::now().naive_local() - Duration::days(days);
+            if history_date >= cutoff.into() {
+                let key = (
+                    executions.sha256.clone(),
+                    executions.filename.clone(),
+                    executions.hostname.clone(),
+                );
+                seen.entry(key).or_insert(executions.clone());
+            }
+        }
+        let final_response = ApiResponse {
+            error: "Success".to_string(),
+            response: ExecHistories {
+                exechistories: seen.values().cloned().collect(),
+            },
+        };
+        let data_write = serde_json::to_string_pretty(&final_response).unwrap();
+        fs::write(&writeable_filepath, data_write).unwrap();
+        if let Some(last_item) = &final_response.response.exechistories.last()
+            && let Ok(last_date) = NaiveDate::parse_from_str(
+                &last_item.datetime.replace(" +0000 UTC", ""),
+                "%Y-%m-%dT%H:%M:%SZ",
+            )
+        {
+            let date_diff = Local::now().naive_local().date() - last_date;
+            let percentage_diff =
+                ((days + 10) - date_diff.num_days()) as f64 / (days + 10) as f64 * 100.0;
+            progress_bar.set_position(percentage_diff.round() as u64);
+            progress_bar.set_message("Total Percent Complete");
+        }
+    }
+    progress_bar.finish_with_message("All Checkpoints Complete");
+    let return_data = fs::read_to_string(&writeable_filepath).unwrap();
+    PyString::new(py, &return_data).into()
+}
+
+fn build_client(py: Python<'_>, py_self: &Py<PyAny>) -> Client {
+    let headers = py_self.getattr(py, "headers").unwrap().to_string();
+    let headers_replace = headers.replace('\'', "\"");
+    let parsed: Value = serde_json::from_str(headers_replace.as_str()).unwrap();
+    let mut header_map = HeaderMap::new();
+    if let Some(obj) = parsed.as_object() {
+        for (_key, value) in obj {
+            if let Some(v) = value.as_str() {
+                let val = HeaderValue::from_str(v).unwrap();
+                header_map.insert(HeaderName::from_str("X-APIKey").unwrap(), val);
+            }
+        }
+    }
+
+    Client::builder()
+        .danger_accept_invalid_certs(true)
+        .default_headers(header_map)
+        .timeout(std::time::Duration::from_secs(30))
+        .build()
+        .unwrap()
+}
+
+#[tokio::main]
+async fn history_logging(
+    py: Python<'_>,
+    py_self: &Py<PyAny>,
+    exec_types: &String,
+    checkpoint_number: &String,
+    policy_names: &String,
+    client: &Client,
+) -> ApiResponse {
+    let base_url = py_self.getattr(py, "base_url").unwrap().to_string();
+    let payload = format!(
+        r#"{{
+        "type": {},
+        "checkpoint": "{}",
+        "policy": ["{}"]
+    }}"#,
+        exec_types, checkpoint_number, policy_names
+    );
+    let res = client
+        .post(format!("{}/v1/logging/exechistories", base_url))
+        .body(payload)
+        .send()
+        .await;
+    match res {
+        Ok(res) => {
+            let first_response: ApiResponse = serde_json::from_str(&res.text().await.unwrap())
+                .expect("Failed to retrieve response from API");
+            return first_response;
+        }
+        Err(_res) => {
+            let failed_response: ApiResponse = ApiResponse {
+                error: "Failed".to_string(),
+                response: ExecHistories {
+                    exechistories: vec![],
+                },
+            };
+            return failed_response;
+        }
+    }
+}
+
+fn get_base_directory() -> PathBuf {
+    let home = env::var_os("HOME")
+        .map(PathBuf::from)
+        .or_else(|| env::var_os("USERPROFILE").map(PathBuf::from))
+        .expect("Could not find Home Directory");
+    let os = std::env::consts::OS;
+    match os {
+        "windows" => {
+            let appdata = env::var_os("APPDATA")
+                .map(PathBuf::from)
+                .unwrap_or_else(|| home.join("AppData").join("Roaming"));
+            appdata.join("Loxide")
+        }
+        _ => home.join(".local").join("share").join("Loxide"),
+    }
+}
+
+fn skipback(days: i64) -> ObjectId {
+    let date_days_ago = Local::now() - Duration::days(days);
+    let timestamp = date_days_ago.timestamp() as u32;
+    let mut hex_timestamp = String::new();
+    write!(&mut hex_timestamp, "{:08x}", timestamp).unwrap();
+    let objectid_hex = format!("{}0000000000000000", hex_timestamp);
+    ObjectId::parse_str(&objectid_hex).expect("Invalid ObjectId hex")
+}

allowlistandgroup.py

@@ -1,22 +0,0 @@
-import requests
-import dotenv
-import json
-import os
-import utils.pretty as ct
-
-url = 'https://172.17.22.240:3129'
-policiesnames = []
-policyids=[]
-dotenv.load_dotenv()
-endpoint = url + '/v1/application'
-print(ct.colorText("[+] Grabbing All Allowlists", "cyan"))
-payload = {}
-headers = {
-    "X-APIKey": os.getenv('APIKEY')
-}
-response = requests.request("POST", endpoint, headers=headers, data=payload, verify=False)
-parse_text = json.loads(response.text)
-for index, list in enumerate(parse_text['response']['applications'], start=1):
-        if index >= 38:
-            print(list)
-#Need else and catch for upper bound

default_system_config.json

@@ -0,0 +1,14 @@
+{
+  "APPNAME": "AirlockTools",
+  "URL": "https://server:3129",
+  "LOG_LEVEL": "INFO",
+  "BAD_PATH_PARTS": ["users","wwwroot","windows\\temp","windows\\task","windows\\system32","startup", "windows\\fonts","Recycle.Bin","AppData","programdata", "Solarwinds","kaseya"],
+  "BAD_PUBLISHERS": ["Brave", "Zoom", "GlavSoft", "VNC"],
+  "PUPS":["logmein","invalid","nmap","LTSvc","VNC","Kaseya","Solarwinds","mRemoteNG"],
+  "PATH_EXCLUSION_CONST": 4,
+  "MIN_FILES_FOR_PATH": 4,
+  "VT_THREAT_TOLERANCE": 4,
+  "POLICY_MAP_ENF_AUD": {
+ 
+    }
+}

flows/localApproval.py

@@ -0,0 +1,291 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+
+import datetime
+import logging
+import os
+import re
+import time
+
+import dotenv
+import numpy as np
+import pandas as pd
+
+from models.agent import Agent
+from services.agenthandler import findAllAgents, moveAgentToRelatedPolicy, selectAgents
+from services.API import AirlockAPIWrapper
+from utils.configmanager import get_protected_json, load_env, load_env_json
+from utils.setup import get_base_directory
+from utils.utils import colorText, get_sanitized_input
+
+logger = logging.getLogger(__name__)
+
+dotenv.load_dotenv()
+
+
+def getLocalApprovals(api: AirlockAPIWrapper):
+    base_dir = get_base_directory
+    result = api.otp_find_awaiting()
+    local_approval = pd.DataFrame(result["response"]["otpusage"])
+    if os.path.exists(f"{base_dir}\\cache\\newest_local_approval.parquet"):
+        previous_run = pd.read_parquet(f"{base_dir}\\cache\\newest_local_approval.parquet")
+        previous_run.to_parquet(
+            f"{base_dir}\\cache\\last_local_approval.parquet", index=False
+        )
+        os.remove(f"{base_dir}\\cache\\newest_local_approval.parquet")
+
+    # Only keep rows presumably created by the generate local approval function
+    local_approval = local_approval[
+        local_approval["purpose"].str.startswith("🎫 Local Approval 🎫")
+    ]
+
+    local_approval["batchid"] = local_approval["purpose"].apply(
+        lambda x: (match := re.search(r"batch:(\S+)", str(x))) and match.group(1)
+    )
+
+    if not local_approval.empty:
+        local_approval.to_parquet(
+            f"{base_dir}\\cache\\newest_local_approval.parquet", index=False
+        )
+
+    return local_approval
+
+
+def scheduleAddingLAHashes(api: AirlockAPIWrapper):
+
+    policy_relationship_map = get_protected_json("POLICY_MAP_ENF_AUD","{}")
+    bad_publisher_list = load_env_json("BAD_PUBLISHER", "[]")
+    pups = load_env_json("PUPS", "[]")
+    threat_tolerance_constant = load_env("VT_THREAT_TOLERANCE", cast_type = int)
+
+    try:
+        register_function("add_hash", returnFromLocalApproval)
+        register_function("move_device", moveAgentToRelatedPolicy)
+    except Exception as e:
+        logger.warning(f"Failed to register functions: {e}")
+        return
+
+    try:
+        approvals_df = getNewLocalApprovals(api)
+        if approvals_df.empty:
+            logger.debug("No new local approvals found. Nothing to schedule.")
+            return
+        batches = approvals_df.groupby("batchid")
+    except Exception as e:
+        logger.warning(f"Failed to retrieve or group local approvals: {e}")
+        return
+
+    for batchid, batch_df in batches:
+        try:
+            duration_minutes = int(batch_df["duration"].iloc[0])
+            start_time = datetime.datetime.now()
+            run_time = start_time + datetime.timedelta(minutes=duration_minutes)
+            early_time = start_time + datetime.timedelta(minutes=np.floor(duration_minutes * 0.95))
+
+            early_timestamp = early_time.timestamp()
+            run_timestamp = run_time.timestamp()
+
+            # Schedule add_hash job
+            try:
+                run_once_job(
+                    f"add_hash_{batchid}",
+                    "add_hash",
+                    early_timestamp,
+                    [
+                        api,
+                        batch_df,
+                        policy_relationship_map,
+                        bad_publisher_list,
+                        pups,
+                        threat_tolerance_constant,
+                    ],
+                    None,
+                )
+                logger.debug(f"Scheduled add_hash for batch {batchid} at {early_time}")
+            except Exception:
+                logger.debug("Failed to schedule add_hash for batch {batchid}: {e}")
+
+            # Schedule move_device jobs
+            devices = batch_df["agentid"].drop_duplicates().tolist()
+            agents = []
+
+            for device in devices:
+                rows = api.agent_find_by_hostname(device).iterrows()
+                agents += [Agent(**row["data"]) for _, row in rows]
+
+            for agent in agents:
+                try:
+                    run_once_job(
+                        f"move_device_{agent.hostame}_{batchid}",
+                        "move_device",
+                        run_timestamp,
+                        [api, agent, policy_relationship_map],
+                        "enforcement",
+                    )
+
+                    print(
+                        f"Scheduled move_device for device {agent.hostname} in batch {batchid} at {run_time}"
+                    )
+                except Exception as e:
+                    print(
+                        f"Failed to schedule move_device for device {agent.hostname} in batch {batchid}: {e}"
+                    )
+
+        except Exception as e:
+            logger.warning(f"Failed to process batch {batchid}: {e}")
+
+
+def returnFromLocalApproval(api, device_df, policy_relationship_map, bad_publisher_list, pups, threat_tolerance_constant
+):
+    """
+      # Get unique policy names from device list
+      policies_in_devicelist = sorted(device_df['policy_name'].unique().tolist())
+
+      # Create inverse map to go from Audit to Enforcement
+      inverse_map = {v: k for k, v in policy_relationship_map.items()}
+
+      # Fetch all policies
+      all_policies = [Policy(row['groupid'], row['hidden'], row['name'], row['parent']) for _, row in api.policy_find_all().iterrows()]
+
+      # Define policy types
+      policy_types = [1, 2, 6, 7]
+
+    #TODO finish logic for adding hashes
+    """
+    working_dir = load_env("WORKING_DIR")
+    policy_relationship_map = get_protected_json("POLICY_MAP_ENF_AUD","{}")
+    bad_publisher_list = load_env_json("BAD_PUBLISHER", "[]")
+    pups = load_env_json("PUPS", "[]")
+    threat_tolerance_constant = load_env("VT_THREAT_TOLERANCE")
+    print(f"{working_dir}, {policy_relationship_map}, {bad_publisher_list}, {pups}, {threat_tolerance_constant}")
+
+def moveToLocalApproval(api: AirlockAPIWrapper):
+    possible_durations = [15, 60, 360, 1440, 10080]
+    duration_selected = None
+
+    print(colorText("Please select a duration:", "white"))
+    for i, option in enumerate(possible_durations, start=1):
+        print(f"{i}. {option}")
+
+    try:
+
+        choice = int(get_sanitized_input("Enter the number of your choice:"))
+        if 1 <= choice <= len(possible_durations):
+            duration_selected = possible_durations[choice - 1]
+            print(colorText(f"You selected: {duration_selected}", "yellow"))
+            logger.debug(f"You selected: {duration_selected}")
+        else:
+            print(colorText("❌ Invalid choice.", "red"))
+            logger.debug("Invalid Input")
+            return
+    except ValueError:
+        print(colorText("❌ Invalid input. Please enter a number.", "red"))
+        logger.debug("Invalid Input")
+        return
+
+    agents = selectAgents(api)
+    batch = int(time.time())
+
+    if not agents:
+        print(colorText("❌ No agents found or error retrieving agents.", "red"))
+        logger.debug("No agents found or error retrieving agents")
+        return
+
+    for agent in agents:
+        try:
+            addLocalApproval(api, batch, duration_selected, agent.agentid)
+            moveAgentToRelatedPolicy(api, agent, "audit")
+        except Exception as e:
+            print(colorText(f"❌ Error processing agent {agent.hostname}: {e}", "red"))
+
+
+def addLocalApproval(api: AirlockAPIWrapper, batchid, duration_selected, agentid):
+    
+    purpose = f"🎫 Local Approval 🎫 - {duration_selected} mins - batch:{batchid} Client:{agentid}"
+    api.otp_generate(agentid, duration_selected, purpose)
+ 
+
+
+def monitorAuditStatus(api: AirlockAPIWrapper):
+    current_agents = findAllAgents(api)
+    last_agents = []
+    if not last_agents:
+        last_agents = current_agents
+    policy_relationship_map = get_protected_json("POLICY_MAP_ENF_AUD","{}")
+
+    # Reverse map for audit → enforcement
+    reverse_policy_map = {v: k for k, v in policy_relationship_map.items()}
+    known_transitions = set(policy_relationship_map.items()) | set(reverse_policy_map.items())
+
+    # Index last_agents by hostname for quick lookup
+    last_agent_map = {agent.hostname: agent for agent in last_agents}
+
+    # Result buckets
+    newly_added = []
+    same_policy = []
+    moved_to_audit = []
+    moved_to_enforcement = []
+    unusual_move = []
+
+    for current in current_agents:
+        previous = last_agent_map.get(current.hostname)
+
+        if not previous:
+            newly_added.append(current)
+            continue
+
+        if current.groupid == previous.groupid:
+            same_policy.append(current)
+        elif (previous.groupid, current.groupid) in known_transitions:
+            moved_to_audit.append(current)
+        elif (current.groupid, previous.groupid) in known_transitions:
+            moved_to_enforcement.append(current)
+        else:
+            unusual_move.append(current)
+
+    # Return all five DataFrames
+    return newly_added, same_policy, moved_to_audit, moved_to_enforcement, unusual_move
+
+
+def getNewLocalApprovals(api: AirlockAPIWrapper):
+    
+    working_dir = load_env("WORKING_DIR")                   
+    current_la = getLocalApprovals(api)
+
+    # Load old approval list
+    old_la_path = f"{working_dir}\\Scheduling\\last_local_approval.parquet"
+    if os.path.exists(old_la_path):
+        old_la = pd.read_parquet(old_la_path)
+    else:
+        old_la = pd.DataFrame(columns=current_la.columns)
+
+    # Create composite keys
+    current_la["key"] = current_la["clientid"].astype(str) + "_" + current_la["granted"].astype(str)
+    old_la["key"] = old_la["clientid"].astype(str) + "_" + old_la["granted"].astype(str)
+
+    # Find new entries
+    new_entries = current_la[~current_la["key"].isin(old_la["key"])]
+
+    # Convert 'granted' to datetime and filter by last 10 minutes
+    new_entries["granted"] = pd.to_datetime(new_entries["granted"], utc=True, errors="coerce")
+    ten_minutes_ago = datetime.datetime.now(datetime.timezone.utc) - datetime.timedelta(minutes=10)
+    recent_entries = new_entries[new_entries["granted"] > ten_minutes_ago]
+
+    # Save current approvals for next run
+    current_la.drop(columns=["key"], inplace=True)
+    current_la.to_parquet(old_la_path, index=False)
+
+    return recent_entries

flows/otp.py

@@ -0,0 +1,170 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+
+
+from datetime import datetime
+import logging
+import os
+
+import pandas as pd
+
+from services.agenthandler import selectAgents
+from services.API import AirlockAPIWrapper
+from utils.configmanager import load_env
+from utils.selector import Selector
+from utils.utils import colorText, get_sanitized_input
+
+logger = logging.getLogger(__name__)
+
+
+def otp_generate(api: AirlockAPIWrapper):
+    otp_dict = {}
+    agents = selectAgents(api)
+    print(colorText("Would you like to continue with these devices?","white"))
+    for agent in agents:
+        print(agent.hostname)
+    confirm = Selector.confirm()
+    if agents and confirm:
+        requester = get_sanitized_input("Who is requesting the OTP:  ")
+        because = get_sanitized_input("Why/What work are they doing?:  ")
+    
+        purpose = f"Requester: {requester} - for : {because}"
+        possible_durations = [15, 60, 360, 1440, 10080]
+
+        print(colorText("Please select a duration in minutes:  ", "white"))
+        print(colorText("15 mins, 60 mins, 360 mins(6 Hours), 1440 mins (24 Hours), 10080 mins (7 Days):", "white"))
+        duration_selected = Selector.select_int(possible_durations)
+
+        if isinstance(duration_selected, list):
+            duration_selected = duration_selected[0] if duration_selected else None
+
+        if duration_selected is not None:
+            for agent in agents:
+                logging.info(f"Querying API for {agent.hostname}")
+                otp_code = api.otp_generate(agent.agentid, duration_selected, purpose)
+                logger.debug(f"Generated OTP for {agent.hostname}: {otp_code}")
+                otp_dict[agent.hostname] = otp_code
+
+    print(colorText("Requested Codes:", "green"))
+    for key, value in otp_dict.items():
+        print(colorText(f"{key} | {value}","green"))
+
+def otp_activities_by_agent(api: AirlockAPIWrapper):
+    activeagents = api.otp_find_active()
+    awaitingagents = api.otp_find_awaiting()
+    enforcedagents = api.otp_find_enforced()
+    revokedagents = api.otp_find_revoked()
+   
+   
+    # Add a 'status' column to each DataFrame
+    activeagents['status'] = 'active'
+    awaitingagents['status'] = 'awaiting'
+    enforcedagents['status'] = 'enforced'
+    revokedagents['status'] = 'revoked'
+
+    # Combine all into one DataFrame
+    combined_agents = pd.concat([activeagents, awaitingagents, enforcedagents, revokedagents], ignore_index=True)
+    combined_agents = combined_agents.sort_values(by='otpid', ascending=False)
+
+    #Optionally, select specific hosts
+    user_input = get_sanitized_input("\nWould you like to search for a specific device? (y/n): ").strip().lower()
+    if user_input == 'y':
+        agentnames = []
+        agents = selectAgents(api)
+        for agent in agents:
+            agentnames.append(agent.hostname)
+
+        combined_agents = combined_agents[combined_agents['hostname'].isin(agentnames)]
+
+    #Present and select rows
+    selected_rows = Selector.select_dataframe_with_mode(
+        combined_agents,
+        columns=['otpid', 'hostname', 'status','purpose','granted'],
+        header="OTP Sessions"
+    )
+    combined_df = pd.DataFrame()
+
+    for row in selected_rows:
+        otpid = row['otpid']
+        hostname = row['hostname']
+        result = api.otp_get_activities(otpid)
+        result['hostname'] = hostname
+        if not result.empty:
+            logger.info(f"Activities for {hostname} (otpid: {otpid}):\n{result}")
+            combined_df = pd.concat([combined_df, result], ignore_index=True)
+        else:
+            logger.info(f"No activities found for {hostname} (otpid: {otpid})")
+
+    user_input = get_sanitized_input("\nWould you like to export the results to a CSV file? (y/n): ").strip().lower()
+    if user_input == 'y':
+        working_dir = load_env("WORKING_DIR")
+        timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
+        filename = f"otp_activities_{timestamp}.csv"
+        file_path = os.path.join(str(working_dir), filename)
+
+        combined_df.to_csv(file_path, index=False)
+        logging.info(f"Exported Data to {file_path}")
+
+        print(
+            colorText(
+                f"\n✅ OTP Activity exported to: {working_dir}\\{filename}",
+                "green",
+            )
+        )
+    else:
+        logging.debug("User declined to export the DataFrame.")
+
+
+
+def otp_revoke(api: AirlockAPIWrapper):
+
+    activeagents = api.otp_find_active()
+    awaitingagents = api.otp_find_awaiting()
+    
+    activeagents['status'] = 'active'
+    awaitingagents['status'] = 'awaiting'
+
+    combined_agents = pd.concat([activeagents, awaitingagents], ignore_index=True)
+    combined_agents = combined_agents.sort_values(by='otpid', ascending=False)
+
+ # Combine all into one DataFrame
+    combined_agents = pd.concat([activeagents, awaitingagents], ignore_index=True)
+    combined_agents = combined_agents.sort_values(by='otpid', ascending=False)
+
+    #Optionally, select specific hosts
+    user_input = get_sanitized_input("\nWould you like to search for a specific device? (y/n): ").strip().lower()
+    if user_input == 'y':
+        agentnames = []
+        agents = selectAgents(api)
+        for agent in agents:
+            agentnames.append(agent.hostname)
+
+        combined_agents = combined_agents[combined_agents['hostname'].isin(agentnames)]
+
+    #Present and select rows
+    selected_rows = Selector.select_dataframe_with_mode(
+        combined_agents,
+        columns=['otpid', 'hostname', 'status','purpose','granted'],
+        header="OTP Sessions"
+    )
+
+    for row in selected_rows:
+        otpid = row['otpid']
+        hostname = row['hostname']
+        result = api.otp_revoke(otpid)
+        logger.info(f"{hostname} (otpid: {otpid}):\n{result}")
+     
+

flows/prepPolicy.py

@@ -0,0 +1,627 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+import logging
+import os
+import os.path
+import re
+from typing import List
+
+import dotenv
+import pandas as pd
+
+from models.execution import ExecutionHistoryRecord
+from models.policy import Allowlist, Policy
+from services.API import AirlockAPIWrapper
+from utils.configmanager import get_protected_value, load_env, load_env_json
+from utils.selector import Selector
+from utils.utils import (
+    areYouSure,
+    clear_screen,
+    colorText,
+    formatHTML,
+    get_sanitized_input,
+    locked,
+    open_directory,
+    print_x_wide,
+    regulator,
+)
+
+logger = logging.getLogger(__name__)
+
+dotenv.load_dotenv()
+
+
+
+def selectPolicies(api: AirlockAPIWrapper, allow_multiple=True) -> List[Policy]:
+
+    policies = [Policy(**row.to_dict()) for _, row in api.policy_find_all().iterrows()]
+    logger.debug("Prompting for Policies")
+    print(colorText("Please select policy/policies", "white"))
+    selected = Selector.select_objects(policies, allow_multiple, prompt_each=True)
+
+    if selected is None:
+        return []
+
+    # Normalize to always return a list
+    logger.debug("Returning {selected.dict}")
+    return selected if isinstance(selected, list) else [selected]
+
+
+def selectAllowlists(api: AirlockAPIWrapper, policy = all, allow_multiple=True) -> List[Allowlist]:
+    if policy == "all": allowlists = [Allowlist(**row.to_dict()) for _, row in api.allowlist_find_all().iterrows()]
+    else:  allowlists = [Allowlist(**row.to_dict()) for _, row in api.policy_list_allowlists(policy[0].groupid).iterrows()]
+    logger.debug("Prompting for Allowlist(s)")
+    print(colorText("Please select allowlist(s)", "white"))
+    selected = Selector.select_objects(allowlists, allow_multiple, prompt_each=True)
+
+    if selected is None:
+        return []
+
+    # Normalize to always return a list
+    logger.debug(f"Returning {selected}")
+    return selected if isinstance(selected, list) else [selected]
+
+
+def sortHashes(
+    api: AirlockAPIWrapper,
+    selected_policies: List[Policy],
+    type=[1, 2, 6, 7]
+):
+    working_dir = load_env("WORKING_DIR")
+    history_days = Selector.select_value(
+        prompt="Enter how many days of history to pull (1–150): ",
+        value_type=int,
+        valid_range=(1, 150),
+    )
+    
+    logger.debug(f"{history_days} day selected for history")
+    
+    if history_days is None:
+        logging.warning("No history range selected. Aborting.")
+        return
+ 
+    policy_executions = ExecutionHistoryRecord.from_policies(
+        api, selected_policies, type_=type, history_days=history_days
+    )
+
+    logger.debug(f"Executions contains {policy_executions}")
+
+    enriched_executions = ExecutionHistoryRecord.enrich_with_hashes(api, policy_executions)  
+    categorized_executions = ExecutionHistoryRecord.categorize_executions_by_hash_decision(enriched_executions)
+    approved, unapproved, needs_review, unknown = ExecutionHistoryRecord.sort_by_hash_decision(categorized_executions)
+
+    categories = {
+            "needs_review": needs_review,
+            "approved": approved,
+            "unapproved": unapproved,
+            "leftover" : unknown
+        }
+
+ 
+    for label, records in categories.items():
+        if not records:
+                continue  # Skip empty or falsy categories
+
+        csv_path = f"{working_dir}\\Needs_Review\\Review_First\\{selected_policies[0].name}_{label}_executions.csv"
+        html_path = f"{working_dir}\\Needs_Review\\HTML\\{selected_policies[0].name}_{label}.html"
+
+        # Convert ExecutionHistoryRecord objects to dictionaries
+        df = pd.DataFrame([r.__dict__ for r in records])
+
+        # Optional: flatten hash_obj if needed
+        if not df.empty and 'hash_obj' in df.columns:
+            hash_df = df['hash_obj'].apply(lambda h: h.to_dict() if h else {})
+            df = pd.concat([df.drop(columns=['hash_obj']), hash_df], axis=1)
+
+        # Save to CSV
+        df.to_csv(csv_path, index=False)
+        logger.info(f"Saved {label} executions to {csv_path}")
+
+        # Generate HTML
+        formatHTML(df, html_path)
+        logger.info(f"Generated HTML report at {html_path}")
+
+
+def buildPathsandPublishers(selected_policies: List[Policy], split):
+    working_dir = load_env("WORKING_DIR")
+    df1 = pd.DataFrame()
+    df2 = pd.DataFrame()
+    all_approved_hashes = pd.DataFrame()
+    path1 = f"{working_dir}\\Approved\\{selected_policies[0].name}_approved_executions.csv"
+    path2 = f"{working_dir}\\Approved\\{selected_policies[0].name}_needs_review_executions.csv"
+    path_exclusion_constant = get_protected_value("PATH_EXCLUSION_CONST", cast_type= int)
+
+    if os.path.exists(path1):
+        df1 = pd.read_csv(path1)
+    else:
+        logger.warning(f"File not found: {path1}")
+
+    if os.path.exists(path2):
+        df2 = pd.read_csv(path2)
+    else:
+        logger.warning(f"File not found: {path2}")
+
+    if df1.empty and df2.empty:
+        logger.warning("Both DataFrames are empty. Skipping sort.")
+        all_approved_hashes = pd.DataFrame()
+        logger.debug(all_approved_hashes.head)
+    else:
+        all_approved_hashes = pd.concat([df1, df2], ignore_index=True)
+        if "filename" in all_approved_hashes.columns:
+            all_approved_hashes = all_approved_hashes.sort_values(by="filename")
+        else:
+            logger.warning("Warning: 'filename' column not found in concatenated DataFrame.")
+
+    if not all_approved_hashes.empty and path_exclusion_constant:
+
+        primary_path_exclusions = calculatePath(
+            all_approved_hashes, path_exclusion_constant,
+            split,
+        )
+        remaining_hashes = all_approved_hashes[
+            ~all_approved_hashes["sha256"].isin(primary_path_exclusions["sha256"])
+        ]
+        secondary_path_exclusions = calculatePath(
+            remaining_hashes,(path_exclusion_constant - 1), split
+        )
+        remaining_hashes = remaining_hashes[
+            ~remaining_hashes["sha256"].isin(secondary_path_exclusions["sha256"])
+        ]
+        dataframes = {
+            "all_approved_hashes" : all_approved_hashes,
+            "primary_Paths": primary_path_exclusions,
+            "secondary_Paths": secondary_path_exclusions,
+            "hashes_not_approvable_by_path": remaining_hashes
+        }
+        logger.debug("Preparing to sort dataframes")
+        for name, df in dataframes.items():
+            logger.debug(f" DataFrame headers: {list(df.columns)}")
+            if "hashes" in name :   df.sort_values(by="filename", inplace=True)
+            else: df.sort_values(by="longestcfp", inplace=True)
+          
+            df.to_csv(f"{working_dir}\\Needs_Review\\Review_Second\\{selected_policies[0].name}_{name}.csv", index=False)
+            formatHTML(df, f"{working_dir}\\Needs_Review\\HTML\\{selected_policies[0].name}_{name}.html")
+
+        if not all_approved_hashes.empty:
+            # Drop all not signed, only keep unique values
+            publist = all_approved_hashes[
+                all_approved_hashes["publisher"] != "Not Signed"
+            ].drop_duplicates(subset=["publisher"])
+            # Remove Bad publisher if somehow they made it this far
+            pattern = regulator(load_env_json("BAD_PUBLISHERS","[]"))
+            publist = publist[~publist["publisher"].str.contains(pattern, na=False)]
+            publist = publist[["publisher"]]
+            publist.sort_values(by="publisher", inplace=True)
+            publist.to_csv(f"{working_dir}\\Needs_Review\\Review_Second\\{selected_policies[0].name}_publishers.csv", index=False)
+    else: 
+        logger.debug("Approved Hashes list appears empty")
+
+def buildPreflights(selected_policies: List[Policy]):
+    working_dir = load_env("WORKING_DIR")
+
+    df1 = pd.DataFrame()
+    df2 = pd.DataFrame()
+    approved_hashes = pd.DataFrame()
+    approved_publishers = pd.DataFrame()
+
+    hash = f"{working_dir}\\Needs_Review\\Review_Second\\{selected_policies[0].name}_all_approved_hashes.csv"
+    path1 = f"{working_dir}\\Approved\\{selected_policies[0].name}_primary_Paths.csv"
+    path2 = f"{working_dir}\\Approved\\{selected_policies[0].name}_secondary_Paths.csv"
+    publishers = f"{working_dir}\\Approved\\{selected_policies[0].name}_publishers.csv"
+
+
+    #Read in and combine the two path generations
+    if os.path.exists(path1):
+        df1 = pd.read_csv(path1)
+    else:
+        logger.warning(f"File not found: {path1}")
+
+    if os.path.exists(path2):
+        df2 = pd.read_csv(path2)
+    else:
+        logger.warning(f"File not found: {path2}")
+
+    if df1.empty and df2.empty:
+        logger.warning("Both DataFrames are empty. Skipping sort.")
+        approved_paths = pd.DataFrame()
+    else:
+        approved_paths = pd.concat([df1, df2], ignore_index=True)
+    
+    approved_paths = approved_paths.drop_duplicates(subset="longestcfp", keep ="first")
+
+    #We create a list of hashes that are left over if we exclude the ones that are covered by the path exclusions.
+    if os.path.exists(hash):
+        hashes = pd.read_csv(hash)
+        approved_hashes = hashes[~hashes['filename'].isin(approved_paths['longestcfp'])]
+
+        approved_hashes = approved_hashes.drop_duplicates(subset="sha256", keep ="first")
+
+    else:
+            logger.warning(f"File not found: {hash}")
+
+
+    if os.path.exists(publishers):
+        approved_publishers = pd.read_csv(publishers)
+
+    else:
+        logger.warning(f"File not found: {publishers}")
+
+    dataframes = {"approved_paths": approved_paths, "approved_hashes": approved_hashes, "approved_publishers": approved_publishers}
+
+    for name, df in dataframes.items():
+        logger.debug(f" DataFrame headers: {list(df.columns)}")
+        if name == "approved_paths":df.sort_values(by="longestcfp", inplace=True)
+        elif name == "approved_hashes":df.sort_values(by="filename", inplace=True)
+        elif name == "approved_publishers" : df.sort_values(by="publisher", inplace=True)
+        
+        df.to_csv(f"{working_dir}\\Preflight\\{selected_policies[0].name}_{name}.csv", index=False)
+        formatHTML(df, f"{working_dir}\\Preflight\\HTML\\{selected_policies[0].name}_{name}.html")
+
+def splitFilepathsGrouped(df, path_exclusion_constant, col="filename"):
+    min_files_for_path = get_protected_value("MIN_FILES_FOR_PATH", cast_type= int)
+
+    def clean_split(path):
+        if not isinstance(path, (str, bytes, os.PathLike)):
+            return []
+        parts = str(os.path.normpath(path)).split(os.sep)
+        parts = [p for p in parts if p]  # Remove empty strings
+        return parts
+
+    # Diagnostic: log any non-string entries
+    non_string_entries = df[~df[col].apply(lambda x: isinstance(x, (str, bytes, os.PathLike)))]
+    if not non_string_entries.empty:
+        print(f"[WARNING] Non-string entries found in column '{col}':")
+        print(non_string_entries)
+
+    df = df.copy()
+    split_paths = df[col].apply(clean_split)
+
+    if min_files_for_path is not None:
+        df = df[split_paths.apply(lambda parts: len(parts) >= min_files_for_path)].copy()
+        split_paths = split_paths[df.index]
+
+    df["group_key"] = split_paths.apply(lambda parts: os.sep.join(parts[:path_exclusion_constant]))
+    grouped = df.groupby("group_key")
+    new_rows = []
+
+    for _, group_df in grouped:
+        paths = group_df[col].tolist()
+        split_parts = [clean_split(p) for p in paths]
+
+        def longest_common_prefix(paths):
+            if not paths:
+                return []
+            prefix = paths[0]
+            for path in paths[1:]:
+                prefix = [a for a, b in zip(prefix, path) if a == b]
+                if not prefix:
+                    break
+            return prefix
+
+        common_prefix = longest_common_prefix(split_parts)
+        prefix_str = os.sep.join(common_prefix)
+
+        for i, parts in enumerate(split_parts):
+            filename = parts[-1]
+            middle = (
+                os.sep.join(parts[len(common_prefix):-1])
+                if len(parts) > len(common_prefix) + 1
+                else ""
+            )
+            row = group_df.iloc[i].copy()
+            row["longestcfp"] = prefix_str
+            row["middle"] = middle
+            row["filename_only"] = filename
+            row["file_extension"] = os.path.splitext(filename)[1].lower()
+            new_rows.append(row)
+
+    return pd.DataFrame(new_rows).drop(columns=["group_key"])
+
+def calculatePath(approved_hashes, path_exclusion_constant, split):
+    if split:
+        dfs_by_policy = [group for _, group in approved_hashes.groupby("policy")]
+    else:
+        dfs_by_policy = [approved_hashes]
+
+    badpathparts = load_env_json("BAD_PATH_PARTS", "[]")
+    min_files_for_path = get_protected_value("MIN_FILES_FOR_PATH", cast_type = int)
+
+    processed_dfs = []
+
+    for df in dfs_by_policy:
+        haslcp = splitFilepathsGrouped(df, path_exclusion_constant, "filename")
+        haslcp = haslcp.drop_duplicates()
+
+        forbidden = regulator(badpathparts, True)
+        forbidden_lcfp = haslcp["longestcfp"].str.contains(forbidden, na=False)
+
+        logger.debug("Removing forbidden filepaths for path exceptions")
+        print(colorText("Removing forbidden filepaths for path exceptions", "green"))
+        lcp_not_forbidden = haslcp[~forbidden_lcfp].copy()
+
+        lcp_not_forbidden_review = lcp_not_forbidden[
+            [
+                "policyname",
+                "longestcfp",
+                "middle",
+                "filename_only",
+                "file_extension",
+                "sha256",
+            ]
+        ]
+
+        unique_sha_counts = (
+            lcp_not_forbidden_review.groupby("longestcfp")["sha256"].nunique().reset_index()
+        )
+        unique_sha_counts.columns = ["longestcfp", "unique_sha256_count"]
+
+        lcp_not_forbidden_review = lcp_not_forbidden_review.merge(
+            unique_sha_counts, on="longestcfp", how="left"
+        )
+        lcp_not_forbidden_review = lcp_not_forbidden_review[
+            lcp_not_forbidden_review["unique_sha256_count"] >= min_files_for_path
+        ]
+        processed_dfs.append(lcp_not_forbidden_review)
+
+    pathExclusions = pd.concat(processed_dfs, ignore_index=True)
+
+    return pathExclusions
+
+def testChange(selected_policies, destination_policy, destination_allowlist):
+                working_dir = load_env("WORKING_DIR")
+
+                logger.info("These path exclusions would be added to:")
+                logger.info(destination_policy)
+
+                pathexclusions = pd.read_csv(f"{working_dir}\\Preflight\\{selected_policies[0].name}_approved_paths.csv")
+                hashes = pd.read_csv(f"{working_dir}\\Preflight\\{selected_policies[0].name}_approved_hashes.csv")
+
+                unique_combinations = pathexclusions[["longestcfp", "file_extension"]].drop_duplicates()
+
+                drive_letter_pattern = re.compile(r"^[a-zA-Z]:\\")
+                processed_paths = [
+                    (path if drive_letter_pattern.match(path) else f"\\\\{path}") + f"\\**{ext}"
+                    for path, ext in unique_combinations.itertuples(index=False, name=None)
+                ]
+
+                for path in processed_paths:
+                    logger.info(path)
+
+                print(colorText("These publishers would added", "yellow"))
+                processed_publishers = []
+                if os.path.exists(f"{working_dir}\\Preflight\\{selected_policies[0].name}_approved_publishers.csv"):
+                    publishers = pd.read_csv(f"{working_dir}\\Preflight\\{selected_policies[0].name}_approved_publishers.csv")
+                    if publishers.empty:
+                        print(colorText("The publishers list is empty.", "red"))
+                    else:
+                        processed_publishers = (
+                            publishers[publishers["publisher"] != "Not Signed"]
+                            ["publisher"]
+                            .drop_duplicates()
+                            .tolist()
+                        )
+                        for publisher in processed_publishers:
+                            print(publisher)
+
+                print(colorText("These hashes would be added to:", "yellow"))
+                print(destination_allowlist)
+
+                processed_hashes = hashes["sha256"].unique().tolist()
+                print_x_wide(processed_hashes, 3)
+
+                return processed_paths, processed_hashes, processed_publishers
+                    
+def menu_policy_enforce(api: AirlockAPIWrapper): #TODO Need to clean up 6 and 7 into functions
+    selected_policies = []
+    destination_policy = []
+    destination_allowlist = []
+    processed_paths = []
+    processed_hashes = []
+    processed_publishers = []
+    working_dir = load_env("WORKING_DIR")
+
+    while True:
+        printEnforceChecklist(selected_policies, destination_policy, destination_allowlist)
+        choice = get_sanitized_input("\nEnter your choice: ")
+
+        if choice == "1":
+            clear_screen()
+            selected_policies = selectPolicies(api,True)
+
+        elif choice == "2":
+            clear_screen()
+            print(colorText("Please choose destination_name Policy for Path Exclusions", "white"))
+
+            destination_policy = selectPolicies(api, False)
+
+            print(colorText("Please choose Allowlist for Hashes", "white"))
+
+            destination_allowlist = selectAllowlists(api, destination_policy, False)
+
+        elif choice == "3":
+            clear_screen()
+            sortHashes(
+                api,
+                selected_policies,
+                type=[1, 2, 6, 7],
+            )
+
+        elif choice == "4":
+            clear_screen()
+            if os.path.exists(f"{working_dir}\\Needs_Review\\Review_First\\{selected_policies[0].name}_approved_executions.csv"):
+                buildPathsandPublishers(selected_policies, False)
+            else:
+                print("File not found. Please make sure it's saved correctly and try again.")
+
+        elif choice == "5":
+            clear_screen()
+            if os.path.exists(f"{working_dir}\\Approved\\{selected_policies[0].name}_approved_executions.csv") and os.path.exists(
+                f"{working_dir}\\Approved\\{selected_policies[0].name}_primary_Paths.csv"
+            ):
+                buildPreflights(selected_policies)
+            else:
+                print("File not found. Please make sure it's saved correctly and try again.")
+
+        elif choice == "6":
+            clear_screen()
+            if (
+                os.path.exists(f"{working_dir}\\Preflight\\{selected_policies[0].name}_approved_paths.csv")
+                and os.path.exists(f"{working_dir}\\Preflight\\{selected_policies[0].name}_approved_hashes.csv")
+                and destination_policy
+                and destination_allowlist
+            ):
+                processed_paths, processed_hashes, processed_publishers = testChange(selected_policies, destination_policy, destination_allowlist)
+            else:
+                # Log which condition(s) failed
+                missing_items = []
+                if not os.path.exists(f"{working_dir}\\Preflight\\{selected_policies[0].name}_approved_paths.csv"):
+                    missing_items.append("approved_paths.csv not found")
+                if not os.path.exists(f"{working_dir}\\Preflight\\{selected_policies[0].name}_approved_hashes.csv"):
+                    missing_items.append("approved_hashes.csv not found")
+                if not destination_policy:
+                    missing_items.append("destination_policy is empty or None")
+                if not destination_allowlist:
+                    missing_items.append("destination_allowlist is empty or None")
+
+                logger.error("Preflight check failed due to the following:")
+                for item in missing_items:
+                    logger.error(f" - {item}")
+
+        elif choice == "7":
+            clear_screen()
+            areYouSure()
+            confirmation = get_sanitized_input("Type 'I AGREE' to continue: ")
+            if (
+                processed_paths
+                and processed_hashes
+                and processed_publishers
+                and destination_policy
+                and destination_allowlist
+                and confirmation.strip() == "I AGREE"
+            ):
+                print(colorText("Proceeding with the code...", "yellow"))
+                api.hash_add_to_allowlist(destination_allowlist[0].applicationid, processed_hashes)
+                api.policy_add_path_exclusions(destination_policy[0].groupid, processed_paths)
+                if processed_publishers:
+                    api.policy_add_publishers(destination_policy[0].groupid, processed_publishers)
+
+                locked()
+                
+            else:
+                logger.error("Confirmation block failed. Reasons:")
+                if not processed_publishers or processed_hashes or processed_paths:
+                    logger.error(" - Test not performed.")
+                if not destination_policy:
+                    logger.error(" - `destination_policy` is missing or invalid.")
+                if not destination_allowlist:
+                    logger.error(" - `destination_allowlist` is missing or invalid.")
+                if confirmation.strip() != "I AGREE":
+                    logger.error(" - User did not confirm with 'I AGREE'. Received: '%s'", confirmation.strip())
+
+        elif choice.upper() == "F":
+            open_directory(working_dir)
+        elif choice.upper() == "B":
+            break
+
+       
+        else:
+            print(colorText("Invalid choice. Please try again.", "red"))
+
+def section_header(title):
+    print(colorText("\n --------------------------------------------------------------------", "cyan"))
+    print(colorText(f" ------------- {title} -------------", "cyan"))
+    print(colorText(" --------------------------------------------------------------------", "cyan"))
+
+
+def printEnforceChecklist(selected_policies, destination_policy, destination_allowlist):
+    working_dir = load_env("WORKING_DIR")
+    section_header("🛠️ 🔒 Prepare to Enforce Policy 🛠️ 🔒")
+    print(colorText("\nSequentially follow these steps to prepare a policy for enforcement:", "white"))
+
+    # Step 1: Originating Policies
+    print(colorText("\n1. Choose which policy or policies to gather execution info from", "cyan"))
+    if not selected_policies:
+        print(colorText("  [✗]  No policies have been chosen", "red"))
+    else:
+        print(colorText("The following policies have been chosen:", "green"))
+        for policy in selected_policies:
+            print(colorText(f"  [✓] {policy.name}", "green"))
+
+    # Step 2: Destination Policy and Allowlist
+    print(colorText("2. Choose the destination policy and associated allowlist", "cyan"))
+    if destination_policy:
+        print(colorText(f"  [✓] {destination_policy[0].name} has been selected as the destination policy", "green"))
+    else:
+        print(colorText("  [✗]  No destination policy has been chosen", "red"))
+
+    if destination_allowlist:
+        print(colorText(f"  [✓] {destination_allowlist[0].name} has been selected as allowlist", "green"))
+    else:
+        print(colorText("  [✗]  No allowlist has been chosen", "red"))
+
+    # Step 3: Data Preparation
+    print(colorText(f"3. Select to begin pulling execution history. The executions will be sorted and placed in {working_dir}\\data\\Needs_Review", "cyan"))
+    if selected_policies:
+        policy_id = selected_policies[0].name
+        review_path = f"{working_dir}\\Needs_Review\\Review_First\\{policy_id}_approved_executions.csv"
+        print(colorText("  [✓] Data has been fetched" if os.path.exists(review_path) else "  [✗] Data has not been fetched", "green" if os.path.exists(review_path) else "red"))
+    else:
+        print(colorText("  [✗]  No policies selected, cannot check data fetch status", "red"))
+
+    # Step 4: Manual Review
+    print(colorText("4. Manually review the files:", "cyan"))
+    print(colorText("     Remove the rows containing hashes you do not approve of", "cyan"))
+    print(colorText(f"     When complete, save both csv files to {working_dir}\\data\\Approved and choose this option.", "cyan"))
+    print(colorText("     This will start the process to generate possible filepath approvals", "cyan"))
+
+    if selected_policies:
+        policy_id = selected_policies[0].name
+        approved_path = f"{working_dir}\\Approved\\{policy_id}_approved_executions.csv"
+        second_review_path = f"{working_dir}\\Needs_Review\\Review_Second\\{policy_id}_primary_Paths.csv"
+        print(colorText("  [✓]  Reviewed hashes have been loaded" if os.path.exists(approved_path) else "  [✗]  Reviewed hashes have not been loaded", "green" if os.path.exists(approved_path) else "red"))
+        print(colorText("  [✓]  Path review list created" if os.path.exists(second_review_path) else "  [✗]  Path review list has not been created", "green" if os.path.exists(second_review_path) else "red"))
+    else:
+        print(colorText("  [✗]  No policies selected, cannot check reviewed hashes or path list", "red"))
+
+    # Step 5: Path Review
+    print(colorText(f"5. Manually review the files in {working_dir}\\Needs_Review\\Review_Second\\", "cyan"))
+    print(colorText("     Remove the rows containing path exclusions or publishers you do not approve of.", "cyan"))
+    print(colorText(f"     When complete, save the files to {working_dir}\\data\\Approved", "cyan"))
+    print(colorText("     Choose this option when done to build your preflights", "cyan"))
+
+    if selected_policies:
+        policy_id = selected_policies[0].name
+        reviewed_path = f"{working_dir}\\Approved\\{policy_id}_primary_Paths.csv"
+        preflight_paths = f"{working_dir}\\Preflight\\{policy_id}_approved_paths.csv"
+        preflight_hashes = f"{working_dir}\\Preflight\\{policy_id}_approved_hashes.csv"
+        print(colorText("  [✓]  Reviewed path list detected" if os.path.exists(reviewed_path) else "  [✗]  Path review list has not been detected", "green" if os.path.exists(reviewed_path) else "red"))
+        preflight_ready = os.path.exists(preflight_paths) and os.path.exists(preflight_hashes)
+        print(colorText("  [✓]  Preflight Path Exclusion List has been generated" if preflight_ready else "  [✗]  Preflight Path Exclusion List has not been generated", "green" if preflight_ready else "red"))
+    else:
+        print(colorText("  [✗]  No policies selected, cannot check preflight status", "red"))
+
+    # Final Steps
+    print(colorText("6. Test ------------------------------------------------------", "cyan"))
+    print(colorText("     Prints to console the changes that would be made, must be done to proceed. ", "cyan"))
+
+    print(colorText("7. Liftoff ------------------------------------------------------", "cyan"))
+    print(colorText("     Apply path exclusions and approved publishers to selected policy", "cyan"))
+    print(colorText("     Apply approved hashes to allowlist", "cyan"))
+
+
+    # Utility Options
+    print(colorText("F. 📂  - Open Working Directory", "cyan"))
+    print(colorText("B. 🔚  - Back", "cyan"))

flows/quietAgent.py

@@ -0,0 +1,129 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+import datetime
+import logging
+
+import dotenv
+import pandas as pd
+
+from flows.prepPolicy import selectPolicies
+from services.API import AirlockAPIWrapper
+from services.policyhandler import getPolicyInfo
+from utils.configmanager import load_env
+from utils.selector import Selector
+from utils.utils import colorText, get_sanitized_input
+
+logger = logging.getLogger(__name__)
+
+
+dotenv.load_dotenv()
+
+
+def findQuietAgents(api: AirlockAPIWrapper):
+    working_dir = load_env("WORKING_DIR")
+    # Get policy selection and agent list
+    selected_policy = selectPolicies(api, False)
+    if selected_policy:
+        agents = api.agents_find_by_group(selected_policy[0].groupid)
+
+        # Prompt user for history range
+        history_days = Selector.select_value(
+            prompt="Enter how many days of history to pull (1–150): ",
+            value_type=int,
+            valid_range=(1, 150),
+        )
+        required_quiet = Selector.select_value(
+            prompt="Enter how many days without an untrusted execution before these are considered ready for enforcement? (1–365): ",
+            value_type=int,
+            valid_range=(1, 150),
+        )
+
+        confirm = Selector.confirm(f"Do you wish to proceed to pull history for {selected_policy[0].name}? Y/N :  ")
+        # Get execution history as a DataFrame
+        if confirm:
+            policy_exec_history = getPolicyInfo(
+            api, selected_policy[0], [1, 2, 6, 7], history_days
+            )
+        
+       
+            if policy_exec_history.empty:
+                logging.info("No execution history found for the selected policy and time range.")
+                get_sanitized_input("Press enter to continue")
+                return
+
+
+            # Convert 'datetime' column to timezone-aware datetime objects
+            policy_exec_history["datetime"] = pd.to_datetime(
+                policy_exec_history["datetime"], format="%Y-%m-%dT%H:%M:%SZ", utc=True
+            )
+
+            # Get current UTC time
+            now = datetime.datetime.now(datetime.timezone.utc)
+
+            # Calculate days ago
+            policy_exec_history["days_ago"] = policy_exec_history["datetime"].apply(
+                lambda dt: (now - dt).days
+            )
+
+            # Count total executions per hostname
+            hostname_counts = policy_exec_history["hostname"].value_counts()
+
+            # Map execution counts to agents
+            agents["execution_count"] = agents["hostname"].map(hostname_counts).fillna(0).astype(int)
+
+            # Find most recent execution per hostname
+            most_recent_exec = policy_exec_history.sort_values(by="days_ago").drop_duplicates(
+                subset="hostname", keep="first"
+            )
+
+            # Map most recent execution age to agents
+            agents["days_since"] = agents["hostname"].map(
+                most_recent_exec.set_index("hostname")["days_ago"]
+            )
+
+            # Check for enforcement readiness
+            agents["required_quiet"] = required_quiet
+            agents["enforce_ready"] = agents["days_since"].apply(
+                lambda x: True if pd.isna(x) or x > required_quiet else False
+            )
+
+            # Sort agents by execution count and hostname
+            agents = agents.sort_values(by=["execution_count", "hostname"], ascending=[True, True])
+
+            # Save to CSV
+            filename = f"{working_dir}\\{selected_policy[0].name}_agents_last_{history_days}_days.csv"
+            logging.debug(f"Saving CSV to {filename}")
+            print(colorText(f"Saving CSV to {filename}", "green"))
+            agents.to_csv(filename, index=False)
+
+            # Summary statistics
+            total_agents = len(agents)
+            ready_agents = agents["enforce_ready"].sum()
+            not_ready_agents = total_agents - ready_agents
+            ready_percentage = (ready_agents / total_agents) * 100
+
+            # Print results
+            
+        
+            message = (
+                f"Total agents: {total_agents}\n"
+                f"Agents marked as 'enforce_ready': {ready_agents}\n"
+                f"Agents not ready: {not_ready_agents}\n"
+                f"Percentage ready for enforcement: {ready_percentage:.2f}%"
+            )
+            logger.debug(message)
+            colorText(message,"green")
+    get_sanitized_input("Press enter to continue")

models/agent.py

@@ -0,0 +1,75 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+from dataclasses import dataclass, field
+from typing import ClassVar, List, Optional
+
+from models.policy import Policy
+
+
+@dataclass
+class Agent:
+    agentid: str
+    clientversion: str
+    domain: str
+    freespace: int
+    groupid: str  # Changed to str to match UUID-style IDs
+    hostname: str
+    ip: str
+    localip: str
+    lastcheckin: str
+    os: str
+    policyversion: str
+    status: int  # raw status code
+    username: str
+    groupname: Optional[str] = field(default=None)
+    status_text: Optional[str] = field(default=None)
+
+    # Class-level status map
+    status_map: ClassVar[dict] = {
+        0: "Offline",
+        1: "Online",
+        2: "Hidden",
+        3: "Safemode"
+    }
+
+
+    def enrich_with_policies(self, policies: List[Policy]):
+            """Enrich the agent with groupname and human-readable status."""
+            self.status_text = self.status_map.get(self.status, "Unknown")
+            for policy in policies:
+                if policy.groupid == self.groupid:
+                    self.groupname = policy.name
+                    break
+            if not self.groupname:
+                self.groupname = "Unknown"
+"""
+
+from models.agent import Agent
+from modesls.policy
+
+# Step 1: Load data from API
+policies = [Policy(**row['data']) for _, row in api.policy_find_all().iterrows()]
+agents = [Agent(**row['data']) for _, row in api.agent_find_all().iterrows()]
+
+# Step 2: Create groupid → groupname map
+groupid_to_name = {policy.groupid: policy.name for policy in policies}
+
+# Step 3: Enrich agents
+for agent in agents:
+    agent.enrich_with_policies(groupid_to_name)
+
+
+"""

models/execution.py

@@ -0,0 +1,471 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+import dataclasses
+from dataclasses import asdict, dataclass
+from datetime import datetime
+import inspect
+import json
+import logging
+import os
+import re
+from typing import List, Optional, Tuple
+
+import dotenv
+import pandas as pd
+
+import airlock_libs
+from services.API import AirlockAPIWrapper
+from services.policyhandler import pullPolicyExechistories
+from utils.configmanager import get_protected_value, load_env_json
+from utils.utils import colorText, regulator
+
+logger = logging.getLogger(__name__)
+
+dotenv.load_dotenv()
+
+@dataclass
+class Hash:
+    """
+    Hash model representing Hash data
+    """
+    sha256: str
+    applications: str
+    baselines: str
+    blocklists: str
+    createtime: str
+    datetime: str
+    description: str
+    filename: str
+    filepath: str
+    filesize: str
+    md5: str
+    modtime: str
+    origname: str
+    productname: str
+    productversion: str
+    publisher: str
+    reputation: str
+    sha128: str
+    sha384: str
+    sha512: str
+    at_decision: Optional[str] = None
+  
+    def to_dict(self):
+        return asdict(self)
+
+    @classmethod
+    def from_dict(cls, data: dict):
+        return cls(**data)
+
+    @classmethod
+    def deduplicate(cls, hash_list):
+        """
+        Deduplicates a list of Hash objects based on sha256.
+        Args:
+            hash_list (list): List of Hash instances.
+        Returns:
+            list: Deduplicated list of Hash instances.
+        """
+        seen = set()
+        deduped = []
+        for h in hash_list:
+            if h.sha256 not in seen:
+                seen.add(h.sha256)
+                deduped.append(h)
+        return deduped
+
+    @classmethod
+    def categorize_hashes(cls, hashes):
+        threat_tolerance = get_protected_value("VT_THREAT_TOLERANCE", cast_type=int)
+        bad_publishers_pattern = regulator(load_env_json("BAD_PUBLISHERS", "[]"))
+        pups_pattern = regulator(load_env_json("PUPS", "[]"))
+
+        approved_count = 0
+        unapproved_count = 0
+        needs_review_count = 0
+
+        for hash_obj in hashes:
+            publisher = hash_obj.publisher or ""
+            description = hash_obj.description or ""
+            reputation = hash_obj.reputation if isinstance(hash_obj.reputation, dict) else {}
+            scannermatch = reputation.get("scannermatch")
+
+            logger.debug(f"Evaluating hash: {hash_obj}")
+            logger.debug(f"Publisher: {publisher}, Description: {description}, Scannermatch: {scannermatch}")
+
+            # 1. Unapproved: bad publisher or PUP
+            if re.search(bad_publishers_pattern, publisher, re.IGNORECASE):
+                logger.debug("Unapproved: Publisher matches bad publisher pattern.")
+                hash_obj.at_decision = "unapproved"
+                unapproved_count += 1
+                continue
+
+            if re.search(pups_pattern, description, re.IGNORECASE):
+                logger.debug("Unapproved: Description matches PUP pattern.")
+                hash_obj.at_decision = "unapproved"
+                unapproved_count += 1
+                continue
+
+            # 2. Approved: signed
+            if publisher != "Not Signed":
+                logger.debug("Approved: File is signed and not flagged.")
+                hash_obj.at_decision = "approved"
+                approved_count += 1
+                continue
+
+            # 3. Approved or Unapproved based on threat level
+            try:
+                score = int(scannermatch) # pyright: ignore[reportArgumentType]
+                logger.debug(f"Parsed scannermatch score: {score}")
+                if score > threat_tolerance: # pyright: ignore[reportOperatorIssue]
+                    logger.debug("Unapproved: Unsigned file with high threat score.")
+                    hash_obj.at_decision = "unapproved"
+                    unapproved_count += 1
+                else:
+                    logger.debug("Approved: Unsigned file with low threat score.")
+                    hash_obj.at_decision = "approved"
+                    approved_count += 1
+            except (ValueError, TypeError):
+                logger.debug("Needs Review: Scannermatch score is missing or invalid. — {e}")
+                hash_obj.at_decision = "needs_review"
+                needs_review_count += 1
+
+        
+        logger.debug(f"Final counts — Needs Review: {needs_review_count}, Approved: {approved_count}, Unapproved: {unapproved_count}")
+        return hashes
+
+
+    @classmethod
+    def export_to_csv(cls, hash_list, directory_path):
+        """
+        Exports a list of Hash objects to a CSV file in the specified directory.
+        The filename is derived from the variable name of the list if possible,
+        and includes a timestamp to ensure uniqueness.
+        """
+        filename = "hashes_export.csv"
+        frame = inspect.currentframe()
+        if frame is not None and frame.f_back is not None:
+            callers_local_vars = frame.f_back.f_locals.items()
+            for var_name, var_val in callers_local_vars:
+                if var_val is hash_list:
+                    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+                    filename = f"{var_name}_{timestamp}.csv"
+                    break
+        else:
+            timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+            filename = f"hashes_export_{timestamp}.csv"
+
+        os.makedirs(directory_path, exist_ok=True)
+        file_path = os.path.join(directory_path, filename)
+
+        df = pd.DataFrame([h.to_dict() for h in hash_list])
+        df.to_csv(file_path, index=False)
+
+        logger.info(f"CSV file saved to: {file_path}")
+
+
+@dataclass
+class ExecutionHistoryRecord:
+    # Mandatory fields
+    username: str
+    hostname: str
+    netdomain: str
+    filename: str
+    ppolicy: str
+    policyname: str
+    policyver: str
+    commandline: str
+    publisher: str
+    sha256: str
+    datetime: str
+
+    # Optional fields
+    type: Optional[int] = None
+    pprocess: Optional[str] = None
+    gprocess: Optional[str] = None
+    md5: Optional[str] = None
+    sha128: Optional[str] = None
+    sha384: Optional[str] = None
+    sha512: Optional[str] = None
+    ip: Optional[str] = None
+    localip: Optional[str] = None
+    extid: Optional[str] = None
+    extname: Optional[str] = None
+    exttype: Optional[int] = None  # 1 = CRX Chromium Extension, 2 = XPI Firefox Extension
+    extbrowser: Optional[int] = None  # 1 = Chrome, 2 = Firefox, 3 = Edge
+    hash_obj: Optional[Hash] = None
+
+
+    @classmethod
+    def from_dict(cls, data: dict):
+        mandatory_fields = [
+            "username",
+            "hostname",
+            "netdomain",
+            "filename",
+            "ppolicy",
+            "policyname",
+            "policyver",
+            "commandline",
+            "publisher",
+            "sha256",
+            "datetime",
+        ]
+        missing_fields = [
+            field for field in mandatory_fields if field not in data or data[field] is None
+        ]
+        if missing_fields:
+            raise ValueError(f"Missing mandatory fields: {missing_fields}")
+
+        return cls(
+            username=data["username"],
+            hostname=data["hostname"],
+            netdomain=data["netdomain"],
+            filename=data["filename"],
+            ppolicy=data["ppolicy"],
+            policyname=data["policyname"],
+            policyver=data["policyver"],
+            commandline=data["commandline"],
+            publisher=data["publisher"],
+            sha256=data["sha256"],
+            datetime=data["datetime"],
+            type=data.get("type"),
+            pprocess=data.get("pprocess"),
+            gprocess=data.get("gprocess"),
+            md5=data.get("md5"),
+            sha128=data.get("sha128"),
+            sha384=data.get("sha384"),
+            sha512=data.get("sha512"),
+            ip=data.get("ip"),
+            localip=data.get("localip"),
+            extid=data.get("extid"),
+            extname=data.get("extname"),
+            exttype=data.get("exttype"),
+            extbrowser=data.get("extbrowser"),
+            hash_obj=data.get("hash_obj")
+        )
+
+    @classmethod
+    def from_policies(
+        cls, api, selected_policies, type_: list, history_days: int
+    ) -> List["ExecutionHistoryRecord"]:
+        executions = []
+        for policy in selected_policies:
+            execs = airlock_libs.pull_policy_exec_histories(api, policy.name, str([1,2,6,7]), history_days)
+            if execs:
+                data = json.loads(execs)
+                exechistories = data.get("response", {}).get("exechistories", [])
+                if not exechistories:
+                    continue
+
+                df = pd.DataFrame(exechistories)
+                df = df.drop_duplicates(subset=["sha256", "filename", "hostname"])
+                df = df.sort_values(by=["sha256", "filename"])
+
+                executions.extend([cls.from_dict(row.to_dict()) for _, row in df.iterrows()])
+                logger.debug(f"Staging of Execution history for policy: {policy.name} is complete")
+                print(
+                    colorText(
+                        f"Staging of Execution history for policy: {policy.name} is complete",
+                        "green",
+                    )
+                )
+
+        return executions
+    
+    @staticmethod
+    def enrich_with_hashes(
+        api: AirlockAPIWrapper,
+        executions: List["ExecutionHistoryRecord"]
+    ) -> List["ExecutionHistoryRecord"]:
+        """
+        Enriches each ExecutionHistoryRecord with a matching Hash object by querying the API.
+        """
+        sha256_list = list({e.sha256.strip().lower() for e in executions if e.sha256})
+        logger.info(f"Extracted {len(sha256_list)} unique sha256 values from {len(executions)} execution records.")
+
+        if not sha256_list:
+            logger.warning("No sha256 values found in execution records. Skipping enrichment.")
+            return executions
+
+        logger.debug("Querying hash data from API...")
+        hash_df = api.hash_query(sha256_list)
+        logger.info(f"Retrieved {len(hash_df)} hash records from API.")
+
+        hash_objects = []
+        required_fields = {
+            f.name for f in dataclasses.fields(Hash)
+            if f.default == dataclasses.MISSING and f.default_factory == dataclasses.MISSING
+        }
+
+        for sha256, (_, row) in zip(sha256_list, hash_df.iterrows()):
+            row_dict = row.to_dict()
+
+            # Unwrap nested 'data' field if present
+            if "data" in row_dict and isinstance(row_dict["data"], dict):
+                row_dict = row_dict["data"]
+
+            # Inject the sha256 back into the row
+            row_dict["sha256"] = sha256
+
+            missing = required_fields - row_dict.keys()
+            if missing:
+                logger.warning(f"Skipping hash row due to missing fields: {missing}")
+                logger.debug(f"Row content: {row_dict}")
+                continue
+
+            try:
+                hash_obj = Hash.from_dict(row_dict)
+                hash_objects.append(hash_obj)
+            except Exception as e:
+                logger.warning(f"Failed to create Hash from row: {e}")
+                logger.debug(f"Row content: {row_dict}")
+
+        logger.debug("Converted hash DataFrame to Hash objects.")
+
+        hash_lookup = {h.sha256.strip().lower(): h for h in hash_objects}
+        logger.debug("Built hash lookup table.")
+
+        enriched_count = 0
+        for exec_record in executions:
+            hash_obj = hash_lookup.get(exec_record.sha256.strip().lower())
+            if hash_obj:
+                exec_record.hash_obj = hash_obj
+                enriched_count += 1
+
+        logger.info(f"Enriched {enriched_count} out of {len(executions)} execution records with hash data.")
+        return executions
+
+    @staticmethod
+    def categorize_executions_by_hash_decision(executions: List["ExecutionHistoryRecord"]) -> List["ExecutionHistoryRecord"]:
+        """
+        Categorizes the hash_obj of each ExecutionHistoryRecord based on publisher, description, and reputation.
+
+        Modifies the `at_decision` field of each associated Hash object in-place.
+
+        Returns:
+            List[ExecutionHistoryRecord]: The same list, with hash_obj.at_decision updated.
+        """
+        threat_tolerance = get_protected_value("VT_THREAT_TOLERANCE", cast_type=int)
+        bad_publishers_pattern = regulator(load_env_json("BAD_PUBLISHERS", "[]"))
+        pups_pattern = regulator(load_env_json("PUPS", "[]"))
+
+        approved_count = 0
+        unapproved_count = 0
+        needs_review_count = 0
+
+        for record in executions:
+            hash_obj = record.hash_obj
+            if not hash_obj:
+                continue  # Skip if no hash object is attached
+
+            publisher = hash_obj.publisher or ""
+            description = hash_obj.description or ""
+            reputation = hash_obj.reputation if isinstance(hash_obj.reputation, dict) else {}
+            scannermatch = reputation.get("scannermatch")
+
+            logger.debug(f"Evaluating hash: {hash_obj}")
+            logger.debug(f"Publisher: {publisher}, Description: {description}, Scannermatch: {scannermatch}")
+
+            # 1. Unapproved: bad publisher or PUP
+            if re.search(bad_publishers_pattern, publisher, re.IGNORECASE):
+                logger.debug("Unapproved: Publisher matches bad publisher pattern.")
+                hash_obj.at_decision = "unapproved"
+                unapproved_count += 1
+                continue
+
+            if re.search(pups_pattern, description, re.IGNORECASE):
+                logger.debug("Unapproved: Description matches PUP pattern.")
+                hash_obj.at_decision = "unapproved"
+                unapproved_count += 1
+                continue
+
+            # 2. Approved: signed
+            if publisher != "Not Signed":
+                logger.debug("Approved: File is signed and not flagged.")
+                hash_obj.at_decision = "approved"
+                approved_count += 1
+                continue
+
+            # 3. Approved or Unapproved based on threat level
+            try:
+                score = int(scannermatch) # pyright: ignore[reportArgumentType]
+                logger.debug(f"Parsed scannermatch score: {score}")
+                if threat_tolerance is not None and score >= threat_tolerance:
+                    logger.debug("Unapproved: Unsigned file with high threat score.")
+                    hash_obj.at_decision = "unapproved"
+                    unapproved_count += 1
+                else:
+                    logger.debug("Approved: Unsigned file with low threat score.")
+                    hash_obj.at_decision = "approved"
+                    approved_count += 1
+            except (ValueError, TypeError) as e:
+                logger.debug(f"Needs Review: Scannermatch score is missing or invalid. — {e}")
+                hash_obj.at_decision = "needs_review"
+                needs_review_count += 1
+
+        logger.debug(
+            f"Final counts — Needs Review: {needs_review_count}, "
+            f"Approved: {approved_count}, Unapproved: {unapproved_count}"
+        )
+
+        return executions
+    
+    
+    @classmethod
+    def sort_by_hash_decision(
+        cls, executions: List["ExecutionHistoryRecord"]
+    ) -> Tuple[List["ExecutionHistoryRecord"], List["ExecutionHistoryRecord"], List["ExecutionHistoryRecord"], List["ExecutionHistoryRecord"]]:
+        """
+        Sorts ExecutionHistoryRecord objects into approved, unapproved, needs_review, and unknown groups
+        based on the value of hash_obj.at_decision.
+
+        Returns:
+            Tuple of lists: (approved, unapproved, needs_review, unknown)
+        """
+        approved = []
+        unapproved = []
+        needs_review = []
+        unknown = []
+
+        sorted_executions = sorted(executions, key=lambda x: x.filename)
+
+        for record in sorted_executions:
+            decision = getattr(record.hash_obj, "at_decision", None)
+            if decision == "approved":
+                approved.append(record)
+            elif decision == "unapproved":
+                unapproved.append(record)
+            elif decision == "needs_review":
+                needs_review.append(record)
+            else:
+                unknown.append(record)
+
+        logger.info(f"[ExecutionHistoryRecord] Sorted {len(sorted_executions)} records by hash_obj.at_decision:")
+        logger.info(f"  Approved: {len(approved)}")
+        logger.info(f"  Unapproved: {len(unapproved)}")
+        logger.info(f"  Needs Review: {len(needs_review)}")
+        logger.info(f"  Unknown/Unset: {len(unknown)}")
+
+        return approved, unapproved, needs_review, unknown
+
+
+
+"""
+executions = ExecutionHistoryRecord.from_policies(api, selected_policies, type_=[0,1,3], history_days=30)
+
+ExecutionHistoryRecord.enrich_with_hashes_and_export(executions, hash_objects, "C:/Users/Brandon/Documents/EnrichedExports")
+"""

models/policy.py

@@ -0,0 +1,65 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+import json
+
+"""
+Policy model representing policy data and relationships.
+"""
+
+
+class Policy:
+    def __init__(self, groupid, hidden, name, parent):
+        self.groupid = groupid
+        self.hidden = hidden
+        self.name = name
+        self.parent = parent
+
+    def __repr__(self):
+        # Show all current attributes, including dynamically added ones
+        attrs = ", ".join(f"{key}={repr(value)}" for key, value in self.__dict__.items())
+        return f"<Execution({attrs})>"
+
+    def to_dict(self):
+        # Return all attributes as a dictionary
+        return self.__dict__
+
+    def to_json(self):
+        # Convert to JSON string, handling non-serializable types gracefully
+        return json.dumps(self.to_dict(), default=str)
+
+
+class Allowlist:
+    """
+    Represents Allowlist
+    """
+
+    def __init__(self, applicationid, name, version):
+        self.applicationid = applicationid
+        self.name = name
+        self.version = version
+
+    def __repr__(self):
+        # Show all current attributes, including dynamically added ones
+        attrs = ", ".join(f"{key}={repr(value)}" for key, value in self.__dict__.items())
+        return f"<Execution({attrs})>"
+
+    def to_dict(self):
+        # Return all attributes as a dictionary
+        return self.__dict__
+
+    def to_json(self):
+        # Convert to JSON string, handling non-serializable types gracefully
+        return json.dumps(self.to_dict(), default=str)

requirements.txt

@@ -1,29 +1,11 @@
-bson==0.5.10
+cryptography==46.0.1
-certifi==2025.8.3
+keyring==25.6.0
-charset-normalizer==3.4.3
-colorama==0.4.6
-cramjam==2.11.0
-docopt==0.6.2
-dotenv==0.9.9
-fastparquet==2024.11.0
-fsspec==2025.9.0
-idna==3.10
-ijson==3.4.0
-lxml==6.0.0
-markdown-it-py==4.0.0
-mdurl==0.1.2
 numpy==2.3.2
-packaging==25.0
 pandas==2.3.1
-pretty-tables==3.1.0
-pyarrow==21.0.0
-Pygments==2.19.2
-python-dateutil==2.9.0.post0
 python-dotenv==1.1.1
-pytz==2025.2
+pymongo
-requests==2.32.4
+requests==2.32.5
-six==1.17.0
+schedule==1.2.2
 tqdm==4.67.1
-tzdata==2025.2
 urllib3==2.5.0
-yarg==0.1.10
+bson==0.5.10

services/API.py

@@ -0,0 +1,302 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+import json
+import logging
+from typing import Dict, List, Optional
+
+import pandas as pd
+import requests
+
+logger = logging.getLogger(__name__)
+
+
+
+class AirlockAPIWrapper:
+    """
+    A wrapper class for interacting with the Airlock API.
+    Provides methods for managing agents, policies, hashes, OTPs, and execution history.
+    """
+
+    def __init__(self, base_url: str, api_key: str):
+        """
+        Initialize the API wrapper.
+
+        Parameters:
+        - base_url (str): Base URL of the Airlock API.
+        - api_key (str): API key for authentication.
+        """
+        self.base_url = base_url.rstrip("/")
+        self.api_key = api_key
+        self.headers = {"X-APIKey": self.api_key}
+
+    def _post(self, endpoint: str, payload: Optional[dict] = None) -> dict:
+        """
+        Internal method to send POST requests to the API.
+
+        Parameters:
+        - endpoint (str): API endpoint.
+        - payload (dict, optional): Request payload.
+
+        Returns:
+        - dict: JSON response from the API.
+        """
+        url = f"{self.base_url}{endpoint}"
+        data = json.dumps(payload or {})
+        try:
+            logger.debug(f"POST Request to {url} with payload: {payload}")
+            response = requests.post(url, headers=self.headers, data=data, verify=False)
+            response.raise_for_status()
+            logger.debug(f"Response received from {url}")
+            return response.json()
+        except requests.exceptions.RequestException as e:
+            logger.error(f"API request failed: {e}")
+            raise
+
+    # Allowlist Management
+    def allowlist_find_all(self) -> pd.DataFrame:
+        """
+        Retrieve all applications in the allowlist.
+
+        Returns:
+        - pd.DataFrame: DataFrame containing allowlisted applications.
+        """
+        result = self._post("/v1/application", {})
+        return pd.DataFrame(result["response"]["applications"])
+
+    # Agent Management
+    def agent_find_all(self) -> pd.DataFrame:
+        """Retrieve all agents."""
+        result = self._post("/v1/agent/find", {})
+        return pd.DataFrame(result["response"]["agents"])
+
+    def agent_find_by_hostname(self, hostname: str) -> pd.DataFrame:
+        """Find agents by hostname."""
+        payload = {"hostname": hostname}
+        result = self._post("/v1/agent/find", payload)
+        return pd.DataFrame(result["response"]["agents"])
+
+    def agent_find_by_id(self, agentid: str) -> pd.DataFrame:
+        """Find agents by agent ID."""
+        payload = {"agentid": agentid}
+        result = self._post("/v1/agent/find", payload)
+        return pd.DataFrame(result["response"]["agents"])
+
+    def agent_find_by_status(self, status: int) -> pd.DataFrame:
+        """Find agents by status (0 = Offline, 1 = Online, 3 = Safemode)."""
+        payload = {"status": status}
+        result = self._post("/v1/agent/find", payload)
+        return pd.DataFrame(result["response"]["agents"])
+
+    def agent_find_by_username(self, username: str) -> pd.DataFrame:
+        """Find agents by username."""
+        payload = {"username": username}
+        result = self._post("/v1/agent/find", payload)
+        return pd.DataFrame(result["response"]["agents"])
+
+    def agent_move(self, agentid: str, groupid: str) -> dict:
+        """Move an agent to a different group."""
+        payload = {"agentid": agentid, "groupid": groupid}
+        return self._post("/v1/agent/move", payload)
+
+    def agents_find_by_group(self, groupid: str) -> pd.DataFrame:
+        """Find agents by group ID."""
+        payload = {"groupid": groupid}
+        result = self._post("/v1/agent/find", payload)
+        return pd.DataFrame(result["response"]["agents"])
+
+    # Hash Management
+    def hash_add_to_allowlist(self, applicationid: str, hashes: List[str]) -> dict:
+        """Add hashes to the allowlist for a specific application."""
+        payload = {"applicationid": applicationid, "hashes": hashes}
+        return self._post("/v1/hash/application/add", payload)
+
+    def hash_query(self, hashes: List[str]) -> pd.DataFrame:
+        """Query information about specific hashes."""
+        payload = {"hashes": hashes}
+        result = self._post("/v1/hash/query", payload)
+        return pd.DataFrame(result["response"]["results"])
+
+    # OTP Management
+    def otp_find_active(self) -> pd.DataFrame:
+        """Find active OTPs."""
+        payload = {"status": "1"}
+        result = self._post("/v1/otp/usage", payload)
+        return pd.DataFrame(result["response"]["otpusage"])
+
+    def otp_find_awaiting(self) -> pd.DataFrame:
+        """Find OTPs that are awaiting activation."""
+        payload = {"status": "0"}
+        result = self._post("/v1/otp/usage", payload)
+        return pd.DataFrame(result["response"]["otpusage"])
+    
+    def otp_find_enforced(self) -> pd.DataFrame:
+        """Find OTPs that are awaiting activation."""
+        payload = {"status": "2"}
+        result = self._post("/v1/otp/usage", payload)
+        return pd.DataFrame(result["response"]["otpusage"])
+    
+    def otp_find_revoked(self) -> pd.DataFrame:
+        """Find OTPs that are awaiting activation."""
+        payload = {"status": "3"}
+        result = self._post("/v1/otp/usage", payload)
+        return pd.DataFrame(result["response"]["otpusage"])
+    
+    def otp_find_by_agent(self, agentid) -> pd.DataFrame:
+        """Find OTP by agent."""
+        payload = {"agentid": agentid}
+        result = self._post("/v1/otp/usage", payload)
+        return pd.DataFrame(result["response"]["otpusage"])
+   
+    def otp_generate(self, agentid: str, duration: int, purpose: str) -> str:
+        """Generate a new OTP for an agent."""
+        payload = {
+            "duration": str(duration),
+            "agentid": str(agentid),
+            "purpose": purpose,
+        }
+        result = self._post("/v1/otp/retrieve", payload)
+        return result["response"]["otpcode"]
+
+    def otp_get_activities(self, otpid: str) -> pd.DataFrame:
+        """Retrieve activities associated with a specific OTP."""
+        payload = {"otpid": otpid}
+        result = self._post("/v1/otp/activities", payload)
+        return pd.DataFrame(result["response"]["otpactivities"])
+        
+    def otp_revoke(self, otpid: str) -> dict:
+        """
+        Revoke an active OTP.
+        Parameters:
+        - otpid (str): The ID of the OTP to revoke.
+        Returns:
+        - dict: JSON response from the API.
+        """
+        payload = {"otpid": otpid}
+        return self._post("/v1/otp/revoke", payload)
+    
+    def otp_validate(self, otpcode: str) -> dict:
+            """
+            Validate an OTP code.
+            Parameters:
+            - otpcode (str): The OTP code to validate.
+            Returns:
+            - dict: JSON response indicating validity.
+            """
+            payload = {"otpcode": otpcode}
+            return self._post("/v1/otp/validate", payload)
+
+
+    # Policy Management
+    def policy_add_path_exclusions(self, groupid: str, paths: List[str]) -> dict:
+        """Add path exclusions to a policy group."""
+        payload = {"groupid": groupid, "path": paths}
+        return self._post("/v1/group/path/add", payload)
+
+    def policy_add_publishers(self, groupid: str, publishers: List[str]) -> dict:
+        """Add publishers to a policy group."""
+        payload = {"groupid": groupid, "publisher": publishers}
+        return self._post("/v1/group/publisher/add", payload)
+
+    def policy_clone(self, source_groupid: str, target_groupid: str) -> dict:
+        """Clone a policy from one group to another."""
+        payload = {"groupid": source_groupid, "targetgroupid": target_groupid}
+        return self._post("/v1/group/assign", payload)
+
+    def policy_find_all(self) -> pd.DataFrame:
+        """Retrieve all policy groups."""
+        result = self._post("/v1/group")
+        return pd.DataFrame(result["response"]["groups"])
+
+    def policy_list_agents(self, groupid: str) -> pd.DataFrame:
+        """List agents assigned to a specific policy group."""
+        payload = {"groupid": groupid}
+        result = self._post("/v1/group/agents", payload)
+        return pd.DataFrame(result["response"]["agents"])
+        
+    def policy_list_allowlists(self, groupid: str) -> pd.DataFrame:
+        """List allowlists assigned to a specific policy group."""
+        payload = {"groupid": groupid}
+        result = self._post("/v1/group/policies", payload)
+        return pd.DataFrame(result["response"]["applications"])
+
+    def policy_set_auditmode(self, groupid: str, auditmode: str) -> dict:
+        """Set audit mode for a policy group. 1=Audit, 0=Enforcement"""
+        payload = {"groupid": groupid, "auditmode": auditmode}
+        return self._post("/v1/group/settings/auditmode", payload)
+    
+    def policy_set_script_custom(self, 
+                                groupid: str, 
+                                script_custom: int, 
+                                scripts_audit: List[str],
+                                scripts_disabled: List[str],
+                                scripts_respect: List[str],
+                                ) -> dict:
+        """Set audit mode for a policy group. 1=Audit, 0=Enforcement"""
+        payload = {"groupid": groupid,
+                   "script_custom": script_custom,
+                   "scripts_audit": scripts_audit,
+                   "scripts_disabled": scripts_disabled,
+                   "scripts_respect": scripts_respect
+                   }
+        return self._post("/v1/group/settings/script_custom", payload)
+
+    # Execution History
+    def history_logging(self, type: List[str], checkpoint: str, policy: List[str]) -> str:
+        """Retrieve execution history logs."""
+        payload = {"type": type, "checkpoint": checkpoint, "policy": policy}
+        result = self._post("/v1/logging/exechistories", payload)
+        return result["response"]["exechistories"]
+
+    def history_execution(self, today: str, date_selected: str, agent_name: str) -> List[Dict]:
+        """
+        Retrieve execution history logs.
+
+        "datefrom":"", //(Optional) Datefrom is for date range search, formatted as "YYYY-MM-DD"
+        "dateto":"", //(Optional) Dateto is for date range search, formatted as "YYYY-MM-DD"
+        "category":"", //(Optional) Category for filtering type
+        "hostname":"", //(Optional) Hostname to filter
+        "username":"admin", //(Optional) Username to filter
+        "netdomain":"", //(Optional) Domain (or group) to filter
+        "filename":"", //(Optional) Filename to filter
+        "ppolicy":"", //(Optional) Parent Policy name to filter
+        "policyname":"", //(Optional) Policy name to filter
+        "policyver":"", //(Optional) Policy version to filter (e.g. "v95")
+        "commandline":"", //(Optional) Commandline to filter
+        "publisher":"", //(Optional) Publisher to filter
+        "pprocess":"", //(Optional) Parent Process to filter
+        "sha256":"", //(Optional) SHA256 hash to filter
+        "contains":["hostname"], //(Optional) Contains is an array for wildcard searches on a filter
+        "limit":"5" //(Optional) Limit the amount of results returned, default set to 50
+
+        """
+
+        payload = {"datefrom": date_selected, "dateto": today, "hostname": agent_name}
+        result = self._post("/v1/getexechistory", payload)
+        return result["response"]["exechistory"]
+
+
+"""
+from services.API import AirlockAPIWrapper
+
+
+api = AirlockAPIWrapper(base_url="https://airlock.example.com/api", api_key="your_api_key_here")
+
+#Example: Get all agents
+
+agents_df = api.agent_find_all()
+print("All Agents:")
+print(agents_df)
+"""

services/agenthandler.py

@@ -0,0 +1,323 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+
+from dataclasses import asdict
+from datetime import datetime, timedelta
+import json
+import logging
+import os
+import re
+from typing import List
+
+import pandas as pd
+
+from flows.prepPolicy import selectPolicies
+from models.agent import Agent
+from models.policy import Policy
+from services.API import AirlockAPIWrapper
+from utils.configmanager import get_protected_json, load_env
+from utils.selector import Selector
+from utils.utils import colorText, get_sanitized_input
+
+logger = logging.getLogger(__name__)
+
+
+def devicehistory(api: AirlockAPIWrapper, outputjson: bool):
+    agents = selectAgents(api)
+    history_days = Selector.select_value(
+        prompt="Enter how many days of history to pull (1–150): ",
+        value_type=int,
+        valid_range=(1, 150),
+    )
+
+    if not agents or not history_days:
+        print(colorText("No agents selected or invalid history range.", "red"))
+        return
+
+    historical_date = (datetime.now() - timedelta(days=history_days)).strftime("%Y-%m-%d")
+    today = datetime.now().strftime("%Y-%m-%d")
+
+    all_history = []
+
+    for agent in agents:
+        try:
+            exechistory = api.history_execution(today, historical_date, agent.hostname)
+        except Exception as e:
+            print(colorText(f"❌ Error retrieving history for {agent.hostname}: {e}", "red"))
+            continue
+
+        if isinstance(exechistory, list):
+            for block in exechistory:
+                record = {
+                    "Command": block.get("commandline", "N/A"),
+                    "Date": block.get("datetime", "N/A"),
+                    "Filename": block.get("filename", "N/A"),
+                    "Policy Name": block.get("policyname", "N/A"),
+                    "Hostname": block.get("hostname", "N/A"),
+                    "Hash": block.get("sha256", "N/A"),
+                }
+                all_history.append(record)
+
+                if not outputjson:
+                    for key, value in record.items():
+                        print(colorText(f"{key}: {value}", "green"))
+                    print("\n")
+        else:
+            print(colorText(f"No execution history found for {agent.hostname}.", "yellow"))
+
+    if outputjson:
+        print(json.dumps(all_history, indent=2))
+
+
+def findAllAgents(api):
+    # Step 1: Load data from API
+    policies = [Policy(**row["data"]) for _, row in api.policy_find_all().iterrows()]
+    agents = [Agent(**row["data"]) for _, row in api.agent_find_all().iterrows()]
+
+    for agent in agents:
+        agent.enrich_with_policies(policies)
+
+    return agents
+
+def findAgents(api, return_dataframe):
+    agents = selectAgents(api)
+    working_dir = load_env("WORKING_DIR")
+
+    if not agents:
+        logging.warning("No agents or policies found.")
+        print("No agents matched the criteria.")
+        return
+
+    # Convert enriched agents to DataFrame
+    agent_dicts = [asdict(agent) for agent in agents]
+    agent_df = pd.DataFrame(agent_dicts)
+
+    if return_dataframe:
+        logging.debug("Returning DataFrame to caller.")
+        return agent_df
+
+    # Otherwise, print and optionally export
+    print(agent_df)
+    logging.debug("Displayed DataFrame to console.")
+
+    user_input = get_sanitized_input("\nWould you like to export the results to a CSV file? (y/n): ").strip().lower()
+    if user_input == 'y':
+        timestamp = datetime.now().strftime("%Y-%m-%d_%H-%M-%S")
+        filename = f"agentsearch_{timestamp}.csv"
+        file_path = os.path.join(str(working_dir), filename)
+
+        agent_df.to_csv(file_path, index=False)
+        logging.info(f"Exported DataFrame to {file_path}")
+
+        print(
+            colorText(
+                f"\n✅ Matched devices exported to: {working_dir}\\{filename}",
+                "green",
+            )
+        )
+    else:
+        logging.debug("User declined to export the DataFrame.")
+
+def collect_device_names() -> List[str]:
+    print(colorText("🔍 Device Search", "cyan"))
+    print(colorText("Enter the device hostnames you'd like to search for, one per line.", "cyan"))
+    print(colorText("When you're done, press Enter twice (Three times if you have a single device).\n", "cyan"))
+    print(colorText("Example:", "cyan"))
+    print(colorText("H00000\nUTN00000\ni-hSuperSecretServer\nu-hVenderBroke\n", "cyan"))
+    print(colorText("Paste or type your device names below:", "white"))
+
+    device_input_lines = []
+    empty_line_count = 0
+    valid_line_pattern = re.compile(r'^[a-zA-Z0-9_\- ]+$')
+
+    while True:
+        line = get_sanitized_input("")
+        stripped_line = line.strip()
+
+        if stripped_line == "":
+            empty_line_count += 1
+            if empty_line_count == 2:
+                break
+            continue
+        else:
+            empty_line_count = 0
+
+        if valid_line_pattern.match(stripped_line):
+            device_input_lines.append(stripped_line)
+        else:
+            print(colorText(f"⚠️ Invalid input: '{stripped_line}' — only letters, numbers, underscores, spaces, and hyphens are allowed.", "yellow"))
+
+    return [name for name in device_input_lines if name]
+
+
+def choose_match_type() -> bool:
+    print(colorText("Use exact match? (Y for exact, N for fuzzy):", "white"))
+    return get_sanitized_input("").strip().lower() in ["y", "yes"]
+
+
+def match_agents(device_names: List[str], agents: List['Agent'], use_exact: bool) -> List['Agent']:
+    if use_exact:
+        return [
+            agent for agent in agents
+            if agent.hostname.lower() in [name.lower() for name in device_names]
+        ]
+    else:
+        pattern = "|".join(map(re.escape, device_names))
+        regex = re.compile(pattern, re.IGNORECASE)
+        return [agent for agent in agents if regex.search(agent.hostname)]
+
+
+def show_unmatched(device_names: List[str], matched_agents: List['Agent'], use_exact: bool):
+    if use_exact:
+        unmatched = [name for name in device_names if not any(agent.hostname.lower() == name.lower() for agent in matched_agents)]
+    else:
+        unmatched = [name for name in device_names if not any(re.search(re.escape(name), agent.hostname, re.IGNORECASE) for agent in matched_agents)]
+
+    if unmatched:
+        logger.debug(f"⚠️ No matches for: {', '.join(unmatched)}")
+        print(colorText(f"⚠️ No matches for: {', '.join(unmatched)}", "yellow"))
+
+
+def enrich_agents(agents: List['Agent'], policies: List['Policy']):
+    for agent in agents:
+        agent.enrich_with_policies(policies)
+
+
+def selectAgents(api: 'AirlockAPIWrapper') -> List['Agent']:
+    device_names = collect_device_names()
+    if not device_names:
+        logger.debug("No device names entered")
+        print(colorText("⚠️ No device names entered.", "red"))
+        return []
+
+    use_exact = choose_match_type()
+
+    policies = [Policy(**row.to_dict()) for _, row in api.policy_find_all().iterrows()]
+    agents = [Agent(**row.to_dict()) for _, row in api.agent_find_all().iterrows()]
+    matched_agents = match_agents(device_names, agents, use_exact)
+    matched_agents.sort(key=lambda agent: agent.hostname.lower())
+
+    show_unmatched(device_names, matched_agents, use_exact)
+
+    if not matched_agents:
+        logger.debug("❌ No matching devices found.")
+        print(colorText("❌ No matching devices found.", "red"))
+        return []
+
+    print(colorText(f"✅ Found {len(matched_agents)} matching device(s).", "green"))
+    logger.info("Matched agent hostnames:")
+    rows = (len(matched_agents) + 2) // 3  # 3 columns
+    for row in range(rows):
+        line = ""
+        for col in range(3):
+            idx = row + col * rows
+            if idx < len(matched_agents):
+                line += f"{matched_agents[idx].hostname:<30}"
+        logger.info(line)
+        
+    matched_agents = Selector.select_with_mode(
+        matched_agents,
+        label_func=lambda agent: agent.hostname,
+        header="Matched Devices:"
+    )
+
+    if not matched_agents:
+        logger.debug("❌ No matching devices remain after refinement.")
+        print(colorText("❌ No matching devices remain after refinement.", "red"))
+        return []
+
+    enrich_agents(matched_agents, policies)
+    return matched_agents
+
+
+def moveAgentToRelatedPolicy(
+    api: AirlockAPIWrapper,
+    agent: Agent,
+    mode: str = "audit",
+):
+    """
+    Moves an agent between audit and enforcement policies based on the mode.
+
+    Args:
+        api: AirlockAPIWrapper instance.
+        agent: Agent object.
+        policy_relationship_map: Dict mapping enforcement → audit.
+        mode: 'audit' to move to audit, 'enforcement' to move to enforcement.
+    """
+    policy_relationship_map = get_protected_json("POLICY_MAP_ENF_AUD", "{}")
+
+    if mode == "audit":
+        if agent.groupid in policy_relationship_map:
+            target_policy = policy_relationship_map[agent.groupid]
+        elif agent.groupid in policy_relationship_map.values():
+            logger.debug(f"Agent {agent.hostname} is already in an audit group. No action needed.")
+            print(f"Agent {agent.hostname} is already in an audit group. No action needed.")
+            return
+        else:
+            logger.warning(f"Error: No corresponding audit policy found for groupid: {agent.groupid}.")
+            return
+
+    elif mode == "enforcement":
+        inverse_map = {v: k for k, v in policy_relationship_map.items()}
+        if agent.groupid in inverse_map:
+            target_policy = inverse_map[agent.groupid]
+        elif agent.groupid in inverse_map.values():
+            logger.info(f"Agent {agent.hostname} is already in an enforcement group. No action needed.")
+            return
+        else:
+            logger.warning(f"Error: No corresponding enforcement policy found for groupid: {agent.groupid}.")
+            return
+
+    else:
+        logger.error(f"Unknown mode '{mode}'. Use 'audit' or 'enforcement'.")
+        return
+
+    result = api.agent_move(agent.agentid, target_policy)
+    return result
+
+
+def toggleEnforcement(api: AirlockAPIWrapper):
+    choices = ["Audit", "Enforcement", "Exit"]
+    print(colorText("Move devices to which state?:", "yellow"))
+    direction = Selector.select_string(choices, False, False)
+    if direction == "Exit":
+        pass
+    else:
+        devices = selectAgents(api)
+        for device in devices:
+            print(device.hostname)
+        confirm = Selector.confirm("Would you like to continue with these devices? Y/N: ")
+        if direction and devices and confirm:
+            for device in devices:
+                result = moveAgentToRelatedPolicy(api,device, str(direction).lower())
+                logger.info(f"{device.hostname}: result: {result}")
+    get_sanitized_input("Press enter to continue")
+
+def moveAgents(api: AirlockAPIWrapper):
+    devices = selectAgents(api)
+    for device in devices:
+        print(device.hostname)
+    confirm_devices = Selector.confirm("Would you like to continue with these devices? Y/N: ")
+    if devices and confirm_devices:
+        policies = selectPolicies(api, False)
+        confirm_move = Selector.confirm(f"Would you like to move these devices to {policies[0].name}?")
+        if confirm_move:
+            for device in devices:
+                result = api.agent_move(device.agentid, policies[0].groupid)
+                logger.info(f"{device.hostname}: result: {result}")
+        else:
+            logger.info("Exiting without change")
+    get_sanitized_input("Press enter to continue")

services/policyhandler.py

@@ -0,0 +1,244 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+
+import datetime
+import gc
+import json
+import logging
+import os
+import sys
+
+from bson import ObjectId
+import pandas as pd
+import tqdm
+
+from models.policy import Policy
+from services.API import AirlockAPIWrapper
+from utils.configmanager import get_protected_json
+from utils.setup import get_base_directory
+from utils.utils import areYouSure, colorText, get_sanitized_input
+
+logger = logging.getLogger(__name__)
+
+
+
+def pullPolicyExechistories(
+    api: AirlockAPIWrapper,
+    policy: Policy,
+    type: list,
+    days,
+    outputjson: bool,
+):
+
+    file_path = f"{get_base_directory()}\\cache\\chunkinator.json"
+
+    # Ensure the file exists
+    if not os.path.exists(file_path):
+        with open(file_path, "w") as file:
+            json.dump({"error": "Success", "response": {"exechistories": []}}, file)
+        logger.debug(f"File '{file_path}' has been created.")
+    else:
+        logger.debug(f"File '{file_path}' already exists.")
+
+    checkpoint = str(skipback(days))
+    json_output = {"error": "Success", "response": {"exechistories": []}}
+
+    with tqdm.tqdm(
+        file=sys.stdout,
+        leave=True,
+        total=10000,
+        desc=f"Checkpoint Progress: {checkpoint}",
+        colour="blue",
+        initial=1,
+    ) as filebar:
+        with tqdm.tqdm(
+            file=sys.stdout,
+            leave=True,
+            total=100,
+            desc=f"Total of {policy} Complete: ",
+        ) as pbar:
+            while True:
+                histories = api.history_logging(
+                    type=type, checkpoint=checkpoint, policy= [policy.name]
+                )
+
+                # Ensure histories is a list of dictionaries
+                if not isinstance(histories, list) or not all(
+                    isinstance(h, dict) for h in histories
+                ):
+                    logger.error(
+                        "Unexpected response format from API. Expected list of dictionaries."
+                    )
+                    break
+
+                filebar.total = len(histories)
+
+                if not histories:
+                    break
+
+                for index, history_item in enumerate(histories):
+                    if (
+                        "checkpoint" not in history_item
+                        or "datetime" not in history_item
+                    ):
+                        continue  # Skip malformed entries
+
+                    # Update checkpoint on last item
+                    if index == len(histories) - 1:
+                        checkpoint = history_item["checkpoint"]  # pyright: ignore[reportArgumentType]
+                        filebar.desc = f"Checkpoint Progress: {checkpoint}"
+                        break
+
+                    try:
+                        history_date = datetime.datetime.strptime(
+                            history_item["datetime"].replace(" +0000 UTC", ""),  # pyright: ignore[reportArgumentType]
+                            "%Y-%m-%dT%H:%M:%SZ",
+                        ).date()
+                    except ValueError:
+                        continue  # Skip if date format is invalid
+
+                    if (
+                        datetime.date.today() - datetime.timedelta(days=days)
+                    ) <= history_date:
+                        json_output["response"]["exechistories"].append(history_item)
+
+                    filebar.update(1)
+                    filebar.refresh()
+
+                # Deduplicate entries
+                seen = {}
+                if os.path.exists(file_path):
+                    with open(file_path, "r") as file:
+                        existing_data = json.load(file)
+                    combined = (
+                        existing_data["response"]["exechistories"]
+                        + json_output["response"]["exechistories"]
+                    )
+                else:
+                    combined = json_output["response"]["exechistories"]
+
+                for entry in combined:
+                    key = (
+                        entry.get("sha256"),
+                        entry.get("filename"),
+                        entry.get("hostname"),
+                    )
+                    seen[key] = entry
+
+                deduplicated = list(seen.values())
+                with open(file_path, "w") as file:
+                    json.dump(
+                        {
+                            "error": "Success",
+                            "response": {"exechistories": deduplicated},
+                        },
+                        file,
+                    )
+
+                json_output["response"]["exechistories"].clear()
+
+                # Update progress bar based on last valid item
+                try:
+                    last_date = datetime.datetime.strptime(
+                        history_item["datetime"].replace(" +0000 UTC", ""),  # type: ignore
+                        "%Y-%m-%dT%H:%M:%SZ",
+                    ).date()
+                    date_diff = datetime.date.today() - last_date
+                    percentage_diff = (
+                        ((days + 10) - date_diff.days) / (days + 10)
+                    ) * 100
+                    pbar.n = round(percentage_diff)
+                    pbar.set_description_str(f"Total of {policy} Complete: ")
+                    pbar.refresh()
+                except Exception:
+                    pass
+
+                filebar.n = 1
+
+    # Final output
+    with open(file_path, "r") as file:
+        final_output = json.load(file)
+    os.remove(file_path)
+
+    return json.dumps(final_output) if outputjson else None
+
+
+def getPolicyInfo(api: AirlockAPIWrapper, policy, type, days):
+    executionhist_policy = pd.DataFrame()
+    exehist = pullPolicyExechistories(api, policy, type, days, True)
+    if exehist is not None:
+        data = json.loads(exehist)
+        executionhist_policy = pd.DataFrame(data["response"]["exechistories"])
+        if not executionhist_policy.empty:
+            executionhist_policy = executionhist_policy[
+                [
+                    "datetime",
+                    "sha256",
+                    "publisher",
+                    "filename",
+                    "hostname",
+                    "username",
+                    "pprocess",
+                    "gprocess",
+                    "commandline",
+                ]
+            ]
+            executionhist_policy["policy"] = policy  # Add policy column here
+            executionhist_policy = executionhist_policy.drop_duplicates(
+                subset=["sha256", "filename", "hostname"]
+            )
+            executionhist_policy = executionhist_policy.sort_values(
+                by=["sha256", "filename"]
+            )
+        logger.debug( f"Staging of Execution history for policy: {policy} is complete")    
+        print(
+            colorText(
+                f"Staging of Execution history for policy: {policy} is complete",
+                "green",
+            )
+        )
+        del data
+        del exehist
+        gc.collect()
+    return executionhist_policy
+
+
+def skipback(days):
+    """
+    Generate a MongoDB ObjectId for a given number of days ago from today.
+    """
+    adjusted_days = days
+    date_days_ago = datetime.datetime.now(datetime.UTC) - datetime.timedelta(
+        days=adjusted_days
+    )
+    timestamp = int(date_days_ago.timestamp())
+    hex_timestamp = format(timestamp, "08x")
+    objectid_hex = hex_timestamp + "0000000000000000"
+    return ObjectId(objectid_hex)
+
+
+def updateAuditPoliciesFromEnforcementPolices(api: AirlockAPIWrapper):
+    policy_relationship_map = get_protected_json("POLICY_MAP_ENF_AUD", "{}")
+    for enforcement_policy, audit_policy in policy_relationship_map.items():
+        api.policy_clone(enforcement_policy, audit_policy)
+        api.policy_set_auditmode(audit_policy, "1")
+ 
+
+def confirmUpdateAfromE(api: AirlockAPIWrapper):
+    areYouSure()
+    confirmation = get_sanitized_input("Type 'I AGREE' to continue: ")
+    if confirmation.strip() == "I AGREE":
+        updateAuditPoliciesFromEnforcementPolices(api)

services/security.py

@@ -0,0 +1,172 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+import base64
+from getpass import getpass
+import logging
+import os
+import platform
+import re
+import sys
+
+from cryptography.hazmat.primitives import hashes
+from cryptography.hazmat.primitives.ciphers.aead import AESGCM
+from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
+import keyring
+
+# Constants
+KDF_ITERATIONS = 200_000
+SALT_SIZE = 16 # 128-bit Salt
+NONCE_SIZE = 12 # AES-GCM 
+KEY_SIZE = 32  # AES-256
+
+logger = logging.getLogger(__name__)
+
+
+def _derive_key(password: bytes, salt: bytes) -> bytes:
+    kdf = PBKDF2HMAC(
+        algorithm=hashes.SHA256(),
+        length=KEY_SIZE,
+        salt=salt,
+        iterations=KDF_ITERATIONS,
+    )
+    return kdf.derive(password)
+
+
+def configure_keyring_backend():
+    system = platform.system()
+    if system == "Windows":
+        import keyring.backends.Windows
+        keyring.set_keyring(keyring.backends.Windows.WinVaultKeyring())
+    elif system == "Linux":
+        import keyring.backends.kwallet
+        keyring.set_keyring(keyring.backends.kwallet.DBusKeyring())
+    else:
+        raise EnvironmentError(f"Unsupported OS: {system}")
+
+
+def store_api_key(service: str, username: str, api_key: str, password: str):
+    configure_keyring_backend()
+    salt = os.urandom(SALT_SIZE)
+    key = _derive_key(password.encode(), salt)
+    aesgcm = AESGCM(key)
+    nonce = os.urandom(NONCE_SIZE)
+    ct = aesgcm.encrypt(nonce, api_key.encode(), associated_data=None)
+    blob = salt + nonce + ct
+    b64 = base64.b64encode(blob).decode()
+    keyring.set_password(service, username, b64)
+
+       
+    logger.debug(f"API key for service '{service}' and user '{username}' stored successfully.")
+
+    print("\n✅ API key stored securely.")
+    print("The program will now exit. Press Enter to continue...")
+
+    try:
+        _ = input()
+    except Exception:
+        pass
+
+    _ = None
+    sys.exit(0)
+
+
+def retrieve_api_key(service: str, username: str, password: str) -> str:
+    configure_keyring_backend()
+    b64 = keyring.get_password(service, username)
+    if b64 is None:
+        raise ValueError("No stored secret for this service/username.")
+    blob = base64.b64decode(b64)
+    salt = blob[:SALT_SIZE]
+    nonce = blob[SALT_SIZE:SALT_SIZE + NONCE_SIZE]
+    ct = blob[SALT_SIZE + NONCE_SIZE:]
+    key = _derive_key(password.encode(), salt)
+    aesgcm = AESGCM(key)
+    pt = aesgcm.decrypt(nonce, ct, associated_data=None)
+    return pt.decode()
+
+
+def api_key_exists(service: str, username: str) -> bool:
+    configure_keyring_backend()
+    return keyring.get_password(service, username) is not None
+
+
+def check_password_complexity(password: str) -> bool:
+    if len(password) < 12:
+        return False
+    if not re.search(r"[A-Z]", password):
+        return False
+    if not re.search(r"[a-z]", password):
+        return False
+    if not re.search(r"[0-9]", password):
+        return False
+    if not re.search(r"[^A-Za-z0-9]", password):
+        return False
+    return True
+
+
+def getAPI(USERNAME, SERVICE_NAME):
+    logging.debug(
+        f"Checking for stored API key for user '{USERNAME}' in service '{SERVICE_NAME}'..."
+    )
+
+    if api_key_exists(SERVICE_NAME, USERNAME):
+        for attempt in range(1, 4):
+            password = getpass(f"Attempt {attempt}/3 - Enter password to unlock your API key: ")
+            try:
+                apikey = retrieve_api_key(SERVICE_NAME, USERNAME, password)
+                logging.debug("API key successfully retrieved.")
+                return apikey
+            except Exception as e:
+                logging.warning(f"Attempt {attempt} failed: {str(e)}")
+        logging.error("Failed to retrieve API key after 3 incorrect attempts.")
+        raise ValueError("Failed to retrieve API key after 3 incorrect attempts.")
+    else:
+        logging.warning(f"No API key found for user '{USERNAME}' in service '{SERVICE_NAME}'.")
+        api_key = getpass(f"No API key found. Please enter your API key for '{SERVICE_NAME}': ").strip()
+        print("Please exit and relaunch program after saving your credential to avoid errors")
+
+        while True:
+            password = getpass("Create a password to encrypt your API key: ")
+            confirm_password = getpass("Confirm your password: ")
+
+            if password != confirm_password:
+                logging.warning("Passwords do not match. Try again.")
+                continue
+
+            if check_password_complexity(password):
+                try:
+                    store_api_key(SERVICE_NAME, USERNAME, api_key, password)
+                    logging.info("API key stored securely.")
+                    break
+                except Exception as e:
+                    logging.error(f"Failed to store API key: {e}")
+                    break
+            else:
+                logging.warning("Password does not meet complexity requirements. Try again.")
+
+
+class APIKeyManager:
+    _api_key = None
+
+    @classmethod
+    def load(cls, service: str, username: str, password: str):
+        cls._api_key = retrieve_api_key(service, username, password)
+
+    @classmethod
+    def get(cls) -> str:
+        if cls._api_key is None:
+            raise ValueError("API key not loaded. Call APIKeyManager.load() first.")
+        return cls._api_key

utils/allowlist.py

@@ -1,155 +0,0 @@
-#    Copyright (C) 2025 James Brotosky, Brandon Wickline
-#
-#    This program is free software: you can redistribute it and/or modify
-#    it under the terms of the GNU Affero General Public License as published
-#    by the Free Software Foundation, either version 3 of the License, or
-#    (at your option) any later version.
-#
-#    This program is distributed in the hope that it will be useful,
-#    but WITHOUT ANY WARRANTY; without even the implied warranty of
-#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-#    GNU Affero General Public License for more details.
-#
-#    You should have received a copy of the GNU Affero General Public License
-#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
-import datetime
-import requests
-import json
-import os
-import utils.pretty as ct
-import ijson
-import os
-from bson import ObjectId
-import datetime
-import tqdm
-import sys
-
-def pullPolicyExechistories(url, policiesnames, days, outputjson: bool):
-    file_path = 'chunkinator.json'
-    if not os.path.exists(file_path):
-        with open(file_path, 'w') as file:
-            json.dump({'error': 'Success', 'response': {'exechistories': []}}, file)
-        print(f"File '{file_path}' has been crated.")
-    else:
-        print(f"File '{file_path}' already exists.")
-    headers = {"X-APIKey": os.getenv('APIKEY')}
-    checkpoint = str(skipback(days))
-    json_output = {'error': 'Success', 'response': {'exechistories': []}}
-    with tqdm.tqdm(file=sys.stdout, leave=True, total=10000, desc=f"Checkpoint Progess: {checkpoint}", colour="blue", initial=1) as filebar:
-        with tqdm.tqdm(file=sys.stdout, leave=True, total=100, desc=f"Total of {policiesnames} Complete: ") as pbar:
-                while True:
-                    json_response_data = checkpoint_stomper(checkpoint, url, policiesnames, headers)
-                    histories = json_response_data['response']['exechistories']
-                    filebar.total=len(histories)
-                    if not histories:
-                        break
-                    match_found = True
-                    if match_found == True:
-                        for index, item in enumerate(histories):
-                            if index == len(histories) - 1:
-                                checkpoint = item['checkpoint']
-                                filebar.desc = f"Checkpoint Progress: {checkpoint}"
-                                break
-                            else:
-                                if (datetime.date.today() - datetime.timedelta(days=days) > datetime.datetime.strptime(item['datetime'].replace(' +0000 UTC', ''), '%Y-%m-%dT%H:%M:%SZ').date()):
-                                    pass
-                                else: json_output['response']['exechistories'].append(item)
-                            filebar.update(1)
-                            filebar.refresh()
-                    seen = {}
-                    if os.path.exists(file_path):
-                        with open(file_path, 'r') as file:
-                            existing_data = json.load(file)
-                            combined = existing_data['response']['exechistories']  + json_output['response']['exechistories']
-                    else:
-                        combined = json_output['response']['exechistories']
-                    for item in combined:
-                        key = (item.get('sha256'), item.get('filename'), item.get('hostname'))
-                        seen[key] = item
-                    deduplicated = list(seen.values())
-                    with open(file_path, 'w') as file:
-                        json.dump({'error': 'Success', 'response': {'exechistories': deduplicated}}, file)
-                    json_output['response']['exechistories'].clear()
-                    date_diff = datetime.date.today() - datetime.datetime.strptime(item['datetime'].replace(' +0000 UTC', ''), '%Y-%m-%dT%H:%M:%SZ').date()
-                    percentage_diff = (((days + 10) - date_diff.days) / (days + 10)) * 100
-                    pbar.n = round(percentage_diff)
-                    pbar.set_description_str(f"Total of {policiesnames} Complete: ")
-                    pbar.refresh()
-                    filebar.n = 1
-    with open(file_path, 'r') as file:
-        final_output = json.load(file)
-    os.remove(file_path)
-    return json.dumps(final_output) if outputjson else None
-
-def checkpoint_stomper(checkpoint, url, policy, headers):
-    json_output = {'error': 'Success', 'response': {'exechistories': []}}
-    endpoint = url + '/v1/logging/exechistories'
-    payload_dict = {
-        "type":[1,2,6,7],
-        "checkpoint": checkpoint,
-        "policy": [policy]
-    }
-    payload = json.dumps(payload_dict)
-    with requests.request("POST", endpoint, headers=headers, data=payload, verify=False, stream=True) as response:
-        parser = ijson.items(response.raw, 'response.exechistories.item')
-        for item in parser:
-            key = (item.get('sha256'), item.get('hostname'))
-            if key not in json_output:
-                json_output['response']['exechistories'].append(item)   
-    parse_text = json.loads(json.dumps(json_output))
-    return parse_text
-
-def listPolicies(url): 
-    endpoint = url + '/v1/group'
-    print(ct.colorText("[+] Grabbing All Policies", "cyan"))
-    payload = {}
-    headers = {
-        "X-APIKey": os.getenv('APIKEY')
-    }
-    response = requests.request("POST", endpoint, headers=headers, data=payload, verify=False)
-    parse_text = json.loads(response.text)
-    policiesnames = []
-    policyids = []
-    for index, list in enumerate(parse_text['response']['groups'], start=1):
-        print(ct.colorText(f"{index}. {list['name']}", "yellow"))
-        policiesnames.append(list['name'])
-        policyids.append(list['groupid'])
-    choice = input(ct.colorText("Select Policy Group: ", "white"))
-    choice = int(choice) - 1
-    return choice, policiesnames, policyids
-
-def listAllowlists(url): 
-    endpoint = url + '/v1/application'
-    print(ct.colorText("[+] Grabbing All Allowlists", "cyan"))
-    payload = {}
-    headers = {
-        "X-APIKey": os.getenv('APIKEY')
-    }
-    response = requests.request("POST", endpoint, headers=headers, data=payload, verify=False)
-    parse_text = json.loads(response.text)
-    policiesnames = []
-    policyids = []
-    for index, list in enumerate(parse_text['response']['applications'], start=1):
-        if index >= 38:
-            print(ct.colorText(f"{index}. {list['name']}", "yellow"))
-            policiesnames.append(list['name'])
-            policyids.append(list['applicationid'])
-    choice = int(input(ct.colorText("Select allowlist: ", "white")))
-    if choice < 38:
-        print(ct.colorText("Please only choose an allowlist designed for this use - '38+'","red"))
-    elif choice >= 38:
-        choice = choice - 38
-        return choice, policiesnames, policyids
-    #Need else and catch for upper bound
-
-def skipback(days):
-    """
-    Generate a MongoDB ObjectId for a given number of days ago from today.
-    Adds 1 extra day to the input to look further back.
-    """
-    adjusted_days = days + 10
-    date_days_ago = datetime.datetime.now(datetime.UTC) - datetime.timedelta(days=adjusted_days)
-    timestamp = int(date_days_ago.timestamp())
-    hex_timestamp = format(timestamp, '08x')
-    objectid_hex = hex_timestamp + '0000000000000000'
-    return ObjectId(objectid_hex)

utils/configmanager.py

@@ -0,0 +1,130 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+
+import json
+import logging
+import os
+from pathlib import Path
+import sys
+from typing import Callable, Optional, TypeVar
+
+T = TypeVar("T")
+logger = logging.getLogger(__name__)
+
+PROTECTED_KEYS = [
+    "APPNAME",
+    "LOG_LEVEL",
+    "PATH_EXCLUSION_CONST",
+    "MIN_FILES_FOR_PATH",
+    "VT_THREAT_TOLERANCE",
+    "POLICY_MAP_ENF_AUD"
+]
+
+_protected_config = {}
+
+def get_system_config_path() -> Path:
+    # Check inside bundled EXE directory first
+    bundled_dir = Path(getattr(sys, '_MEIPASS', ''))
+    bundled_path = bundled_dir / "system_config.json"
+    if bundled_path.exists():
+        return bundled_path
+
+    # Fallback to external location
+    return Path(__file__).parent.parent / "system_config.json"
+
+def load_protected_config() -> dict:
+    global _protected_config
+    try:
+        with open(get_system_config_path(), "r") as f:
+            system_config = json.load(f)
+    except FileNotFoundError:
+        logging.warning("⚠️ system_config.json not found. Using built-in defaults.")
+        system_config = {
+            "APPNAME": "AirlockTools",
+            "PATH_EXCLUSION_CONST": 4,
+            "MIN_FILES_FOR_PATH": 4,
+            "VT_THREAT_TOLERANCE": 4,
+            "POLICY_MAP_ENF_AUD": {
+                "enforced_id": "audit_id"
+            }
+        }
+
+    _protected_config = {key: system_config[key] for key in PROTECTED_KEYS}
+    return _protected_config
+
+def get_protected_value(key: str, cast_type: Callable[[str], T] = str, default: Optional[T] = None) -> Optional[T]:
+    value = _protected_config.get(key)
+    if value is None:
+        logging.warning(f"Protected config key '{key}' not found.")
+        return default
+    try:
+        if isinstance(value, str):
+            value = value.strip("'\"")
+        return cast_type(value)
+    except (ValueError, TypeError):
+        logging.warning(f"Invalid value for protected key '{key}': {value}. Expected type {cast_type.__name__}.")
+        return default
+
+def get_protected_json(key: str, default: str = "{}") -> dict:
+    raw = _protected_config.get(key, default)
+    if isinstance(raw, dict):
+        return raw
+    try:
+        return json.loads(raw)
+    except json.JSONDecodeError:
+        try:
+            escaped = raw.encode('unicode_escape').decode('utf-8')
+            return json.loads(escaped)
+        except Exception as e:
+            logging.error(f"Failed to parse protected JSON key '{key}': {e}")
+            return json.loads(default)
+        
+
+
+
+def load_env_json(key: str, default: str):
+    raw = os.getenv(key, default)
+    try:
+        return json.loads(raw)
+    except json.JSONDecodeError:
+        try:
+            escaped = raw.encode('unicode_escape').decode('utf-8')
+            return json.loads(escaped)
+        except Exception as e:
+            logging.error(f"Failed to parse {key}: {e}")
+            return json.loads(default)
+
+def load_env(key: str, cast_type: Callable[[str], T] = str, default: Optional[T] = None) -> Optional[T]:
+    """
+    Safely retrieves an environment variable and casts it to the desired type.
+
+    Parameters:
+        key (str): The name of the environment variable.
+        cast_type (Callable[[str], T], optional): Function to cast the value. Defaults to str.
+        default (Optional[T], optional): Default value if the variable is not set or invalid.
+
+    Returns:
+        Optional[T]: The casted value or the default.
+    """
+    value = os.getenv(key)
+    if value is None:
+        logger.warning(f"Environment variable '{key}' not set.")
+        return default
+    try:
+        value = value.strip("'\"")  # Strip surrounding quotes
+        return cast_type(value)
+    except (ValueError, TypeError):
+        logger.warning(f"Invalid value for env var '{key}': {value}. Expected type {cast_type.__name__}.")
+        return default

utils/getdeviceevents.py

@@ -1,80 +0,0 @@
-#    Copyright (C) 2025 James Brotosky, Brandon Wickline
-#
-#    This program is free software: you can redistribute it and/or modify
-#    it under the terms of the GNU Affero General Public License as published
-#    by the Free Software Foundation, either version 3 of the License, or
-#    (at your option) any later version.
-#
-#    This program is distributed in the hope that it will be useful,
-#    but WITHOUT ANY WARRANTY; without even the implied warranty of
-#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-#    GNU Affero General Public License for more details.
-#
-#    You should have received a copy of the GNU Affero General Public License
-#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
-import datetime
-import requests
-import json
-import os
-import utils.pretty as ct
-
-def devicehistory(url, outputjson: bool):
-	endpoint = url + '/v1/getexechistory'
-	print("\n")
-	print(ct.colorText("1. Today", "yellow"))
-	print(ct.colorText("2. Last 24 Hours", "yellow"))
-	print(ct.colorText("3. Past 7 Days", "yellow"))
-	print(ct.colorText("4. Past 30 Days", "yellow"))
-	print(ct.colorText("5. Custom Date Range","yellow"))
-	choice = input(ct.colorText("\nSelect Date Range: ", "white"))
-	today = datetime.date.today()
-	today = today.strftime("%Y-%m-%d")
-	if choice == '1':
-		date_selected = today
-	elif choice == '2':
-		date_selected = datetime.date.today() - datetime.timedelta(days=1)
-		date_selected = date_selected.strftime('%Y-%m-%d')
-	elif choice == '3':
-		date_selected = datetime.date.today() - datetime.timedelta(days=7)
-		date_selected = date_selected.strftime('%Y-%m-%d')
-	elif choice == '4':
-		date_selected = datetime.date.today() - datetime.timedelta(days=30)
-		date_selected = date_selected.strftime('%Y-%m-%d')
-	elif choice == "5":
-		print(ct.colorText("Please Input Dates as YYYY-MM-DD", "cyan"))
-		date_selected = input(ct.colorText("From: ", "white"))
-		today = input(ct.colorText("Date To: ", "white"))
-	print(ct.colorText("WARNING: Device Name is Case Sensitive", "red"))
-	device = input(ct.colorText("Enter Device Name: ", "white"))
-	payload_dict = {
-		"datefrom": date_selected,
-		"dateto": today,
-		"hostname": device
-	}
-	payload = json.dumps(payload_dict)
-	print(ct.colorText(payload, "green"))
-	headers = {
-		"X-APIKey": os.getenv('APIKEY')
-	}
-
-	response = requests.request("POST", endpoint, headers=headers, data=payload, verify=False)
-
-	if outputjson:
-		return response
-
-	parse_text = json.loads(response.text)
-
-	# Safely get exechistory
-	exechistory = parse_text.get('response', {}).get('exechistory')
-
-	if isinstance(exechistory, list):
-		for block in exechistory:
-			print(ct.colorText(f"Command: {block.get('commandline', 'N/A')}", "green"))
-			print(ct.colorText(f"Date: {block.get('datetime', 'N/A')}", "green"))
-			print(ct.colorText(f"Filename: {block.get('filename', 'N/A')}", "green"))
-			print(ct.colorText(f"Policy Name: {block.get('policyname', 'N/A')}", "green"))
-			print(ct.colorText(f"Hostname: {block.get('hostname', 'N/A')}", "green"))
-			print(ct.colorText(f"Hash: {block.get('sha256', 'N/A')}", "green"))
-			print("\n")
-	else:
-		print(ct.colorText("No execution history found or data is not in expected format.", "red"))

utils/hashfunctions.py

@@ -1,375 +0,0 @@
-#    Copyright (C) 2025 James Brotosky, Brandon Wickline
-#
-#    This program is free software: you can redistribute it and/or modify
-#    it under the terms of the GNU Affero General Public License as published
-#    by the Free Software Foundation, either version 3 of the License, or
-#    (at your option) any later version.
-#
-#    This program is distributed in the hope that it will be useful,
-#    but WITHOUT ANY WARRANTY; without even the implied warranty of
-#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-#    GNU Affero General Public License for more details.
-#
-#    You should have received a copy of the GNU Affero General Public License
-#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
-import gc
-import json
-import os
-import pandas as pd
-import requests
-import utils.pathfunctions as pathf
-import utils.hashfunctions as hashf
-import utils.pretty as ct
-from AirlockTools import tryToReadCSV
-
-def aggregateHashes(executions_json) -> pd.DataFrame:
-    """
-    Takes the executions,  aggregates all the data with sha256 as primary, then returns aggregated dataframe
-    """
-    data = json.loads(executions_json)
-    df = pd.DataFrame(data["response"]["exechistories"])
-
-    if df.empty:
-         return df
-    print(df)
-    # Aggregate by sha256, deduplicate lists, and preserve order
-    agg_df = df.groupby("sha256").agg(lambda x: list(dict.fromkeys(x))).reset_index()
-
-    # Add a column for the number of unique hostnames
-    agg_df["num_devices"] = agg_df["hostname"].apply(len)
-
-    # Sort by num_devices in descending order
-    agg_df = agg_df.sort_values("num_devices", ascending=False)
-
-    return agg_df
-
-def augmentAggregatedHashes(url, agg_df: pd.DataFrame) -> pd.DataFrame:
-    """
-    Takes output of aggregatedHashes, queries API for those hashes, flattens response while keeping one row per hash,
-    aggregate applications and baselines into lists, then merges results back into agg_df to create a 
-    """
-    if 'sha256' not in agg_df.columns or agg_df.empty:
-        print("⚠️ 'sha256' column missing or DataFrame is empty. Skipping API query.")
-        return agg_df.copy()  # Return as-is to avoid breaking downstream logic
-
-    endpoint = url + '/v1/hash/query'
-    payload = {
-        "hashes": agg_df['sha256'].tolist()
-    }
-
-    headers = {"X-APIKey": os.getenv('APIKEY')}
-    payload = json.dumps(payload)
-
-    response = requests.post(endpoint, headers=headers, data=payload, verify=False)
-    data = response.json()
-    results = data.get("response", {}).get("results", [])
-
-    rows = []
-    for res in results:
-        row = {"sha256": res.get("sha256"), "result": res.get("result")}
-
-        if "data" in res:
-            d = res["data"]
-            for key in ["filename", "filepath", "description", "filesize", "md5",
-                        "productname", "productversion", "publisher", "createtime", "modtime",
-                        "sha128", "sha384", "sha512", "datetime"]:
-                row[key] = d.get(key)
-
-            row["applications"] = d.get("applications", [])
-            row["baselines"] = d.get("baselines", [])
-
-            reputation = d.get("reputation", {})
-            for k, v in reputation.items():
-                row[f"reputation_{k}"] = v
-
-        rows.append(row)
-
-    df_api = pd.DataFrame(rows)
-
-    if 'sha256' not in df_api.columns:
-        print("⚠️ API response missing 'sha256'. Skipping merge.")
-        return agg_df.copy()
-
-    df = agg_df.merge(df_api, on="sha256", how="left")
-
-    # Only include columns that exist to avoid KeyErrors
-    expected_columns = ['sha256', 'filename_x', 'description', 'productname', 'productversion',
-                        'publisher_y', 'publisher_x', 'netdomain', 'hostname', 'username',
-                        'reputation_lastseen', 'reputation_scannermatch', 'reputation_scannercount',
-                        'reputation_status', 'reputation_threatlevel', 'reputation_threatname',
-                        'reputation_timestamp', 'pprocess', 'gprocess', 'commandline']
-
-    available_columns = [col for col in expected_columns if col in df.columns]
-    aug_df = df[available_columns]
-
-    return aug_df
-
-def categorizeHashes(first_policy, second_policy, df: pd.DataFrame, threat_tolerance: int, untrusted_publishers, pups: list):
-    if untrusted_publishers is None: untrusted_publishers = []
-    if pups is None: pups = []
-
-    def reputationtool(row):
-        val = row["reputation_scannermatch"]
-        if pd.isna(val) or val == "N/A":
-            return row["publisher"] == "Not Signed"
-        try:
-            return int(val) > threat_tolerance
-        except (ValueError, TypeError):
-            return row["publisher"] == "Not Signed"
-
-    df["reputation_flag"] = df.apply(reputationtool, axis=1)
-
-    mask_needsreview = (
-        ((df["publisher"] == "Not Signed") & df["reputation_flag"]) |
-        (df["reputation_status"] == "UNKNOWN")
-    )
-
-    mask_approved = (
-        (
-            (df["publisher"] != "Not Signed") &
-            ~df["publisher"].str.contains(pathf.regulator(untrusted_publishers), case=False, na=False) &
-            ~df["reputation_status"].isna() &
-            ~df["description"].str.contains(pathf.regulator(pups), case=False, na=False)
-        ) |
-        (
-            (df["publisher"] == "Not Signed") &
-            ~df["reputation_flag"] &
-            ~df["publisher"].str.contains(pathf.regulator(untrusted_publishers), case=False, na=False) &
-            ~df["reputation_status"].isna() &
-            ~df["description"].str.contains(pathf.regulator(pups), case=False, na=False)
-        )
-    )
-
-    needsreview_df = df[mask_needsreview]
-    approved_df = df[mask_approved]
-    unapproved_df = df[~(mask_needsreview | mask_approved)]
-
-    needsreview_df.to_parquet(f"parquet\\hashes_rep_unknown_{first_policy}_{second_policy}.parquet", index=False)
-    approved_df.to_parquet(f"parquet\\hashes_rep_good_{first_policy}_{second_policy}.parquet", index=False)
-    unapproved_df.to_parquet(f"parquet\\hashes_rep_bad_{first_policy}_{second_policy}.parquet", index=False)
-
-    del needsreview_df
-    del approved_df
-    del unapproved_df
-    gc.collect()
-
-def explode_and_deduplicate(df):
-    df['sha256'] = df['sha256'].str.split(',')
-    df = df.explode('sha256')
-    return df.drop_duplicates().reset_index(drop=True)
-
-def clean_sha256(df, column='sha256'):
-    """Discard quotes, brackets, and whitespace from sha256 values."""
-    df[column] = df[column].astype(str).str.strip("'[]\" ")
-    return df
-
-def destinationHashes(
-    df_approved_paths: pd.DataFrame,
-    df_approved_hashes: pd.DataFrame,
-    df_hashes_auto_approved: pd.DataFrame,
-    df_hashes_manually_approved: pd.DataFrame,
-):
-    # Deduplicate and explode all input DataFrames
-    df_approved_paths = explode_and_deduplicate(df_approved_paths)
-    df_approved_hashes = explode_and_deduplicate(df_approved_hashes)
-    df_hashes_auto_approved = explode_and_deduplicate(df_hashes_auto_approved)
-    df_hashes_manually_approved = explode_and_deduplicate(df_hashes_manually_approved)
-
-    # Clean sha256 values in all relevant DataFrames
-    df_approved_hashes = clean_sha256(df_approved_hashes)
-    df_hashes_auto_approved = clean_sha256(df_hashes_auto_approved)
-    df_hashes_manually_approved = clean_sha256(df_hashes_manually_approved)
-
-    # Create sets for faster lookup
-    auto_approved_sha256 = set(df_hashes_auto_approved['sha256'].values)
-    manually_approved_sha256 = set(df_hashes_manually_approved['sha256'].values)
-
-    # Debug: Print unmatched hashes
-    unmatched = set(df_approved_hashes['sha256']) - (auto_approved_sha256 | manually_approved_sha256)
-    print(f"Unmatched hashes: {unmatched}")
-
-    # Process df_approved_paths
-    df_paths = df_approved_paths.assign(destination='Path Exclusion')
-    df_paths = df_paths[['sha256', 'description', 'destination', 'grouped_directory', 'filename']]
-
-    # Process df_approved_hashes
-    df_hashes = df_approved_hashes.copy()
-    df_hashes['destination'] = df_hashes['sha256'].apply(
-        lambda x: 'Parent Policy Baseline' if x in auto_approved_sha256
-                  else ('Child Policy Allowlist' if x in manually_approved_sha256 else None)
-    )
-    df_hashes = df_hashes.dropna(subset=['destination'])
-    df_hashes = df_hashes.assign(grouped_directory=None)
-
-    # Use 'filename_x' only if it exists, otherwise fallback to 'filename'
-    filename_col = 'filename_x' if 'filename_x' in df_hashes.columns else 'filename'
-    selected_cols = ['sha256', 'description', 'destination', 'grouped_directory', filename_col]
-    df_hashes = df_hashes[selected_cols]
-
-    # Concatenate results
-    df_hashdestination = pd.concat([df_paths, df_hashes], ignore_index=True)
-    return df_hashdestination
-
-def combineHashAndHist(path, first_policy, second_policy):
-
-    condensed_combo = pd.read_parquet(f"parquet\\condensed_executions_{first_policy}_{second_policy}.parquet")
-    df = pd.read_parquet(path)
-			
-	#Pull hash info for the entries in the needs approval table
-    df = pd.merge(condensed_combo, df, on='sha256', how='inner')
-    
-    #Rename Publisher, Keep and reorder columns we want
-    df = df.rename(columns={'publisher_x': 'publisher'})
-    df = df[['sha256', 'publisher', 'description', 'filename', 'hostname', 'username', 'productname', 'productversion','reputation_lastseen', 'reputation_scannermatch', 'reputation_scannercount','reputation_status', 'reputation_threatlevel', 'reputation_threatname','reputation_timestamp', 'pprocess', 'gprocess', 'commandline']]
-    df = df.sort_values(by='filename')
-
-    df.to_parquet(path, index=False)
-    del df
-    del condensed_combo
-    gc.collect()
-
-def combineHashes(url, first_policy, second_policy):
-    combined_hashes = pd.DataFrame(columns=['sha256', 'publisher'])
-    hashes = []
-    try:
-        hash1 = pd.read_parquet(f"parquet\\execution_history_{first_policy}.parquet", columns=['sha256', 'publisher'])
-        pathf.inspect_parquet(f"parquet\\execution_history_{first_policy}.parquet")
-        if not hash1.empty:
-            hashes.append(hash1)
-        else:
-            print("⚠️ First dataframe is empty.")
-    except Exception as e:
-        print(f"❌ Error reading first Parquet file: {e}")
-
-    try:
-        hash2 = pd.read_parquet(f"parquet\\execution_history_{second_policy}.parquet", columns=['sha256', 'publisher'])
-        pathf.inspect_parquet(f"parquet\\execution_history_{second_policy}.parquet")
-        if not hash2.empty:
-            hashes.append(hash2)
-        else:
-            print("⚠️ Second dataframe is empty.")
-    except Exception as e:
-        print(f"❌ Error reading second Parquet file: {e}")
-
-    if hashes:
-        combined_hashes = pd.concat(hashes, ignore_index=True)
-        print(f"✅ Combined {len(combined_hashes)} hashes.")
-    else:
-        print("⚠️ No valid dataframes to combine.")
-
-    combined_hashes = combined_hashes.drop_duplicates(subset=['sha256'])
-    augmented_combo = hashf.augmentAggregatedHashes(url, combined_hashes)
-
-    numeric_reputation_cols = [
-        'reputation_scannermatch',
-        'reputation_scannercount',
-        'reputation_threatlevel'
-    ]
-
-    for col in numeric_reputation_cols:
-        if col in augmented_combo.columns:
-            augmented_combo[col] = pd.to_numeric(augmented_combo[col].replace('N/A', pd.NA), errors='coerce')
-
-    augmented_combo = augmented_combo.rename(columns={'publisher_x': 'publisher'})
-    augmented_combo = augmented_combo[['sha256', 'publisher', 'description', 'productname', 'productversion',
-                                    'reputation_lastseen', 'reputation_scannermatch', 'reputation_scannercount',
-                                    'reputation_status', 'reputation_threatlevel', 'reputation_threatname',
-                                    'reputation_timestamp']]
-    augmented_combo = augmented_combo.sort_values(by=['publisher', 'description', 'productname'])
-    augmented_combo.to_parquet(f"parquet\\combined_hashlist_{first_policy}_{second_policy}.parquet", index=False)
-
-    del combined_hashes
-    del augmented_combo
-    gc.collect()
-    print(ct.colorText("Hash reputation info added to dataframe", "green"))
-
-def condenseExecutions(first_policy,second_policy):
-    exe1 = pd.DataFrame()
-    exe2 = pd.DataFrame()
-    condensed_combo = pd.DataFrame()
-    
-    try:
-        exe1 = pd.read_parquet(f"parquet\\execution_history_{first_policy}.parquet")
-        pathf.inspect_parquet(f"parquet\\execution_history_{first_policy}.parquet")
-        if not exe1.empty:
-            print()
-        else:
-            print("⚠️ First dataframe is empty.")
-    except Exception as e:
-        print(f"❌ Error reading first Parquet file: {e}")
-
-    try:
-        exe2 = pd.read_parquet(f"parquet\\execution_history_{second_policy}.parquet")
-        pathf.inspect_parquet(f"parquet\\execution_history_{second_policy}.parquet")
-        if not exe2.empty:
-            print()
-        else:
-            print("⚠️ Second dataframe is empty.")
-    except Exception as e:
-        print(f"❌ Error reading second Parquet file: {e}")
-
-    if not exe1.empty and not exe2.empty:
-        condensed_combo = pd.concat([exe1, exe2], ignore_index=True)
-
-        print(f"✅ Combined {len(condensed_combo)} hashes.")
-    elif exe1.empty:
-        condensed_combo = exe2
-    elif exe2.empty:
-        condensed_combo = exe1
-    else:
-        print("⚠️ No valid dataframes to combine.")
-
-    condensed_combo.to_parquet(f"parquet\\condensed_executions_{first_policy}_{second_policy}.parquet", index=False)
-    del condensed_combo
-    gc.collect()
-    
-def divideSortedHashExecutions(first_policy,second_policy, pups):
-
-    combineHashAndHist(f"parquet\\hashes_rep_unknown_{first_policy}_{second_policy}.parquet", first_policy, second_policy)			
-    combineHashAndHist(f"parquet\\hashes_rep_good_{first_policy}_{second_policy}.parquet", first_policy, second_policy)
-    combineHashAndHist(f"parquet\\hashes_rep_bad_{first_policy}_{second_policy}.parquet", first_policy, second_policy)
-
-    unknown = pd.read_parquet(f"parquet\\hashes_rep_unknown_{first_policy}_{second_policy}.parquet")
-    good = pd.read_parquet(f"parquet\\hashes_rep_good_{first_policy}_{second_policy}.parquet")
-    bad = pd.read_parquet(f"parquet\\hashes_rep_bad_{first_policy}_{second_policy}.parquet")
-
-    # Build regex pattern once
-    pattern = pathf.regulator(pups)
-
-    # Move matching rows from unknown and good to bad
-    bad = pd.concat([
-        bad,
-        unknown[unknown["filename"].str.contains(pattern, na=False)],
-        good[good["filename"].str.contains(pattern, na=False)]
-    ], ignore_index=True)
-
-    # Remove matching rows from unknown and good
-    unknown = unknown[~unknown["filename"].str.contains(pattern, na=False)]
-    good = good[~good["filename"].str.contains(pattern, na=False)]
-
-    unknown.to_csv(f"needs_approved\\hashes_rep_unknown_{first_policy}_{second_policy}.csv",index=False)
-    good.to_csv(f"needs_approved\\hashes_rep_good_{first_policy}_{second_policy}.csv",index=False)
-    bad.to_csv(f"needs_approved\\hashes_rep_bad_{first_policy}_{second_policy}.csv",index=False)
-
-    ct.style_dataframe_dark(unknown, f"needs_approved\\hashes_rep_unknown_{first_policy}_{second_policy}.html")
-    ct.style_dataframe_dark(good, f"needs_approved\\hashes_rep_good_{first_policy}_{second_policy}.html")
-    ct.style_dataframe_dark(bad, f"needs_approved\\hashes_rep_bad_{first_policy}_{second_policy}.html")
-
-def generatePreflights(first_policy, second_policy):
-    allhashes = pd.read_parquet(f"parquet\\all_approved_hashes_{first_policy}_{second_policy}.parquet")
-					
-    pathexclusions = tryToReadCSV(f"approved\\path_needs_approved_{first_policy}_{second_policy}.csv")
-    pathexclusions.to_parquet(f"parquet\\final_path_exclusions_{first_policy}_{second_policy}.parquet", index=False)
-
-    allowbyhash = allhashes[~allhashes['sha256'].isin(pathexclusions['sha256'])]
-
-    allowbyhash.to_parquet(f"parquet\\final_hash_approvals_{first_policy}_{second_policy}.parquet", index=False)
-
-    allowbyhash.sort_values(by=["filename"])
-    
-    ct.style_dataframe_dark(allowbyhash, f"preflight\\final_hash_approvals_{first_policy}_{second_policy}.html")
-    ct.style_dataframe_dark(pathexclusions, f"preflight\\final_path_exclusions_{first_policy}_{second_policy}.html")
-   
-    del allowbyhash
-    del pathexclusions
-    gc.collect()

utils/pathfunctions.py

@@ -1,190 +0,0 @@
-#    Copyright (C) 2025 James Brotosky, Brandon Wickline
-#
-#    This program is free software: you can redistribute it and/or modify
-#    it under the terms of the GNU Affero General Public License as published
-#    by the Free Software Foundation, either version 3 of the License, or
-#    (at your option) any later version.
-#
-#    This program is distributed in the hope that it will be useful,
-#    but WITHOUT ANY WARRANTY; without even the implied warranty of
-#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-#    GNU Affero General Public License for more details.
-#
-#    You should have received a copy of the GNU Affero General Public License
-#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
-import ast
-import gc
-import os
-import pandas as pd
-import re
-import utils.pathfunctions as pathf
-import utils.pretty as ct
-from AirlockTools import tryToReadCSV
-
-
-def split_filepaths_grouped(df, col="filename", group_parts=4, min_parts=4):
-    def clean_split(path):
-        parts = os.path.normpath(path).split(os.sep)
-        # Remove leading empty strings caused by UNC paths
-        parts = [p for p in parts if p]
-        return parts
-
-    df = df.copy()
-    split_paths = df[col].apply(clean_split)
-
-    # Filter out paths with fewer than `min_parts` components
-    df = df[split_paths.apply(lambda parts: len(parts) >= min_parts)].copy()
-    split_paths = split_paths[df.index]  # Update split_paths to match filtered df
-
-    df["group_key"] = split_paths.apply(lambda parts: os.sep.join(parts[:group_parts]))
-    grouped = df.groupby("group_key")
-    new_rows = []
-
-    for _, group_df in grouped:
-        paths = group_df[col].tolist()
-        split_parts = [clean_split(p) for p in paths]
-
-        def longest_common_prefix(paths):
-            if not paths:
-                return []
-            prefix = paths[0]
-            for path in paths[1:]:
-                prefix = [a for a, b in zip(prefix, path) if a == b]
-                if not prefix:
-                    break
-            return prefix
-
-        common_prefix = longest_common_prefix(split_parts)
-        prefix_str = os.sep.join(common_prefix)
-
-        for i, parts in enumerate(split_parts):
-            filename = parts[-1]
-            middle = os.sep.join(parts[len(common_prefix):-1]) if len(parts) > len(common_prefix) + 1 else ""
-            row = group_df.iloc[i].copy()
-            row["longestcfp"] = prefix_str
-            row["middle"] = middle
-            row["filename_only"] = filename
-            new_rows.append(row)
-
-    return pd.DataFrame(new_rows).drop(columns=["group_key"])
-
-def mask_from_csv(df, csv_path, filepath_col):
-    """
-    Reads reviewed CSV of groups, keeps only files in approved groups.
-    """
-    review_df = pd.read_csv(csv_path)
-
-    def parse_paths(val):
-        if isinstance(val, str):
-            try:
-                # Try to parse as a list
-                parsed = ast.literal_eval(val)
-                # If it's not a list, wrap it
-                return parsed if isinstance(parsed, list) else [parsed]
-            except (ValueError, SyntaxError):
-                # If parsing fails, treat it as a single path
-                return [val]
-        return [val]
-
-    review_df[filepath_col] = review_df[filepath_col].apply(parse_paths)
-
-    # Flatten all approved file paths into a set for masking
-    approved_files = set()
-    for paths in review_df[filepath_col]:
-        approved_files.update(paths)
-
-    # Keep only rows in df that are in approved_files
-    masked_df = df[df[filepath_col].isin(approved_files)].copy()
-    remainder = df[~df[filepath_col].isin(approved_files)].copy()
-    return remainder
-
-def filter_and_drop(approved, eligiblepaths, min_hashes):
-    """
-    Filters eligiblepaths to rows where all hashes are in approved,
-    then drops rows with fewer than min_hashes hashes.
-    """
-    approved_hashes = set(approved['sha256'])
-
-    def all_hashes_approved(row):
-        return all(h in approved_hashes for h in row['sha256'])
-
-    filtered = eligiblepaths[eligiblepaths.apply(all_hashes_approved, axis=1)]
-    filtered = filtered[filtered['sha256'].apply(len) >= min_hashes]
-    
-    return filtered
-
-def inspect_parquet(path):
-    try:
-        df = pd.read_parquet(path)
-        print(f"✅ Successfully read: {path}")
-        print(f"📄 Columns: {df.columns.tolist()}")
-        print(f"🔢 Rows: {len(df)}")
-        return df
-    except Exception as e:
-        print(f"❌ Error reading {path}: {e}")
-        return pd.DataFrame()
-
-
-def regulator(paths, case_insensitive=True):
-    """
-    Build a regex pattern that matches any of the given Windows path fragments.
-    """
-    escaped = [re.escape(p) for p in paths]
-    pattern = "(?:" + "|".join(escaped) + ")"
-    if case_insensitive:
-        pattern = "(?i)" + pattern  # Add inline case-insensitive flag
-    print(f"Regulator is providing: {pattern}")
-    return pattern
-
-def generatePathReview(first_policy, second_policy, badpathparts, min_files_for_path):
-
-    if not os.path.exists(f"parquet\\all_approved_hashes_{first_policy}_{second_policy}.parquet"):
-
-        df1 = tryToReadCSV(f"approved\\hashes_rep_unknown_{first_policy}_{second_policy}.csv")
-        df2 = tryToReadCSV(f"approved\\hashes_rep_good_{first_policy}_{second_policy}.csv")
-
-        all_approved_hashes = pd.concat([df1 , df2], ignore_index=True).sort_values(by=['filename'])
-
-
-
-        print(ct.colorText(f"Approved hash lists have been combined","green"))
-
-        all_approved_hashes.to_parquet(f"parquet\\all_approved_hashes_{first_policy}_{second_policy}.parquet", index=False)
-        del all_approved_hashes
-        gc.collect()
-
-    if not os.path.exists(f"parquet\\path_needs_approved_{first_policy}_{second_policy}.parquet"):
-        all_approved_hashes = pd.read_parquet(f"parquet\\all_approved_hashes_{first_policy}_{second_policy}.parquet")
-        print(ct.colorText(f"Beginning calculating longest common filepaths for path exceptions","green"))
-        
-        haslcp = pathf.split_filepaths_grouped(all_approved_hashes)
-        haslcp.drop_duplicates()
-
-        forbidden = pathf.regulator(badpathparts, True)
-        forbidden_lcfp = haslcp["longestcfp"].str.contains(forbidden, na=False)
-
-        
-        print(ct.colorText("Removing forbidden filepaths for path exceptions", "green"))
-
-        # Make a real DataFrame copy before modifying
-        lcp_not_forbidden = haslcp[~forbidden_lcfp].copy()
-
-        #For the review, drop down to only the columns we care, and then group by the commmon file path, consolidating and dropping dupes
-        lcp_not_forbidden_review = lcp_not_forbidden[['longestcfp', 'middle', 'filename_only', 'sha256']]				
-
-        # Count unique sha256 per longestcfp
-        unique_sha_counts = lcp_not_forbidden_review.groupby('longestcfp')['sha256'].nunique().reset_index()
-        unique_sha_counts.columns = ['longestcfp', 'unique_sha256_count']
-
-        # Merge the count back into the original DataFrame
-        lcp_not_forbidden_review = lcp_not_forbidden_review.merge(unique_sha_counts, on='longestcfp', how='left')
-        lcp_not_forbidden_review = lcp_not_forbidden_review[lcp_not_forbidden_review['unique_sha256_count'] >= min_files_for_path]
-        
-        lcp_not_forbidden_review.to_parquet(f"parquet\\path_needs_approved_{first_policy}_{second_policy}.parquet",index=False)
-        lcp_not_forbidden_review.to_csv(f"needs_approved\\path_needs_approved_{first_policy}_{second_policy}.csv",index=False)
-        ct.style_dataframe_dark(lcp_not_forbidden_review,f"needs_approved\\path_needs_approved_{first_policy}_{second_policy}.html", True)
-
-        del lcp_not_forbidden
-        del unique_sha_counts
-        del lcp_not_forbidden_review
-   

utils/policyfunctions.py

@@ -1,123 +0,0 @@
-#    Copyright (C) 2025 James Brotosky, Brandon Wickline
-#
-#    This program is free software: you can redistribute it and/or modify
-#    it under the terms of the GNU Affero General Public License as published
-#    by the Free Software Foundation, either version 3 of the License, or
-#    (at your option) any later version.
-#
-#    This program is distributed in the hope that it will be useful,
-#    but WITHOUT ANY WARRANTY; without even the implied warranty of
-#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-#    GNU Affero General Public License for more details.
-#
-#    You should have received a copy of the GNU Affero General Public License
-#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
-import gc
-import json
-import os
-import pandas as pd
-import re
-import requests
-import utils.pretty as ct
-import utils.allowlist
-
-
-
-
-def addHash(policy, hash):
-    print(f"Adding the following hashes to {policy}:")
-    for p in hash:
-        print(p)
-    
-
-def addPath(policy, hash):
-    print(f"Adding the following Path Exclusions to {policy}:")
-    for p in hash:
-        print(p)
-    
-def addHashReal(url, allowlistID, hashlist): 
-    endpoint = url + '/v1/hash/application/add'
-    print(ct.colorText("[+] Grabbing All Categories", "cyan"))
-    payload = {
-            "applicationid" : allowlistID,
-            "hashes" : hashlist
-    }
-    headers = {
-        "X-APIKey": os.getenv('APIKEY')
-    }
-    payload = json.dumps(payload)
-    response = requests.request("POST", endpoint, headers=headers, data=payload, verify=False)
-    response.raise_for_status()  # Raise an error for bad status codes
-    parse_text = json.loads(response.text)
-    print(parse_text)
-    
-
-def addPathReal(url, grouplistID, pathlist): 
-    endpoint = url + '/v1/group/path/add'
-    print(ct.colorText("[+] Grabbing All Categories", "cyan"))
-    payload = {
-            "groupid" : grouplistID,
-            "path" : pathlist
-        }
-    headers = {
-        "X-APIKey": os.getenv('APIKEY')
-    }
-    print(payload)
-    payload = json.dumps(payload)
-    response = requests.request("POST", endpoint, headers=headers, data=payload, verify=False)
-    print(response.text)
-
-def getPolicyInfo(url, policy, days):
-    executionhist_policy = pd.DataFrame()
-    exehist = utils.allowlist.pullPolicyExechistories(url, policy, days, True)
-    data = json.loads(exehist)
-    executionhist_policy = pd.DataFrame(data["response"]["exechistories"])
-    if not executionhist_policy.empty:
-        executionhist_policyxecutionhist_policy = executionhist_policy[['sha256', 'publisher', 'filename', 'hostname', 'username', 'pprocess', 'gprocess', 'commandline']]
-        executionhist_policy = executionhist_policy.drop_duplicates(subset=['sha256', 'filename', 'hostname'])
-        executionhist_policy = executionhist_policy.sort_values(by=['sha256', 'filename'])
-        executionhist_policy.to_parquet(f"parquet\\execution_history_{policy}.parquet", index=False)
-    print(ct.colorText(f"Staging of Execution history for policy: {policy} is complete", "green"))
-    del data
-    del exehist
-    gc.collect()
-    return executionhist_policy
-
-def sendToPolicy(url, first_policy, second_policy, destination_name, destination_id, allowlist_parent_name, allowlist_parent_id, allowlist_child_name, allowlist_child_id):
-    pathexclusions = pd.read_parquet(f"parquet\\final_path_exclusions_{first_policy}_{second_policy}.parquet")
-    allowbyhash =  pd.read_parquet(f"parquet\\final_hash_approvals_{first_policy}_{second_policy}.parquet")
-
-    ct.areYouSure()
-    confirmation = input(ct.colorText("Type 'I AGREE' to continue: ","white"))
-
-    if confirmation.strip().upper() == "I AGREE":
-        print(ct.colorText("Proceeding with the code...", "yellow"))
-        print(ct.colorText(f"Adding path exclusions to {destination_name}", "yellow"))
-        pathexcludelist = pathexclusions['longestcfp'].unique().tolist()
-
-        # Regex to match a Windows drive letter at the start (e.g., C:\)
-        drive_letter_pattern = re.compile(r'^[a-zA-Z]:\\')
-
-        # Processed list
-        processed_paths = [
-            (path if drive_letter_pattern.match(path) else f"\\\\{path}") + "**"
-            for path in pathexcludelist
-]
-        addPath(url, destination_id,processed_paths)
-        
-        print(ct.colorText(f"Adding hashes to {allowlist_parent_name}", "yellow"))
-                            
-        allowlist_parenthashlist = allowbyhash[allowbyhash['reputation_status'] == 'KNOWN']['sha256'].unique().tolist()
-        addHash(url, allowlist_parent_id,allowlist_parenthashlist)
-        
-        print(ct.colorText(f"Adding hashes to {allowlist_child_name}", "yellow"))
-        allowlist_childhashlist = allowbyhash[allowbyhash['reputation_status'] == 'UNKNOWN']['sha256'].unique().tolist()
-        addHash(url, allowlist_child_id, allowlist_childhashlist)			
-
-        ct.locked()
-        
-        exit()		
-        
-    else:
-        print(ct.colorText("Operation aborted. You MUST EXPLICITLY AGREE to proceed.", "red"))
-        

utils/selector.py

@@ -0,0 +1,334 @@
+#    Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+#    This program is free software: you can redistribute it and/or modify
+#    it under the terms of the GNU Affero General Public License as published
+#    by the Free Software Foundation, either version 3 of the License, or
+#    (at your option) any later version.
+#
+#    This program is distributed in the hope that it will be useful,
+#    but WITHOUT ANY WARRANTY; without even the implied warranty of
+#    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+#    GNU Affero General Public License for more details.
+#
+#    You should have received a copy of the GNU Affero General Public License
+#    along with this program.  If not, see <https://www.gnu.org/licenses/>.
+import logging
+from typing import Any, Callable, List, Optional, Union
+
+import pandas as pd
+
+from utils.utils import colorText, get_sanitized_input
+
+logger = logging.getLogger(__name__)
+
+class Selector:
+    @staticmethod
+    def _get_sorted_items(items: List[Any], label_func: Callable[[Any], str]) -> List[Any]:
+        return sorted(items, key=lambda item: label_func(item).lower())
+
+    @staticmethod
+    def _display_choices(
+        items: List[Any],
+        label_func: Callable[[Any], str],
+        num_columns: int = 4,
+        header: str = "Available Choices:"
+    ) -> None:
+        # Force single column if items are DataFrame rows
+        
+        if items and isinstance(items[0], (pd.Series, dict)):
+            num_columns = 1
+
+        rows = (len(items) + num_columns - 1) // num_columns
+        print(f"\n{header}")
+        for row in range(rows):
+            line = ""
+            for col in range(num_columns):
+                idx = row + col * rows
+                if idx < len(items):
+                    label = label_func(items[idx])
+                    line += f"{idx + 1}: {label:<30}"
+            print(line)
+
+    @staticmethod
+    def _display_selected_items(
+        selected: List[Any],
+        label_func: Callable[[Any], str],
+        num_columns: int = 4
+    ) -> None:
+        print(colorText("\nCurrent selections:", "cyan"))
+        if not selected:
+            print(" (none)")
+            return
+        sorted_selected = sorted(selected, key=lambda item: label_func(item).lower())
+        rows = (len(sorted_selected) + num_columns - 1) // num_columns
+        for row in range(rows):
+            line = ""
+            for col in range(num_columns):
+                idx = row + col * rows
+                if idx < len(sorted_selected):
+                    label = label_func(sorted_selected[idx])
+                    line += f"{label:<30}"
+            print(line)
+
+    @staticmethod
+    def _parse_selection_input(input_str: str, max_index: int) -> List[int]:
+        selections = []
+        for part in input_str.split(","):
+            part = part.strip()
+            if "-" in part:
+                try:
+                    start, end = map(int, part.split("-"))
+                    selections.extend(range(start, end + 1))
+                except ValueError:
+                    continue
+            elif part.isdigit():
+                selections.append(int(part))
+        return [i for i in selections if 1 <= i <= max_index]
+
+    @staticmethod
+    def _select_from_list(
+        items: List[Any],
+        label_func: Callable[[Any], str],
+        allow_multiple: bool = False,
+        prompt_each: bool = False,
+        header: str = "Available Choices:",
+        num_columns: int = 4
+    ) -> Union[Optional[Any], List[Any]]:
+        if not items:
+            logger.warning("No items available for selection.")
+            return None
+
+        full_sorted_items = Selector._get_sorted_items(items, label_func)
+        remaining_items = full_sorted_items.copy()
+        selected = []
+
+        if allow_multiple:
+            while True:
+                Selector._display_choices(remaining_items, label_func, num_columns=num_columns, header=header)
+                Selector._display_selected_items(selected, label_func, num_columns=num_columns)
+                choice = get_sanitized_input("Select item(s) by number (e.g. 1,3-5), R to reset, Q to finish: ").strip().lower()
+                if choice == "q":
+                    break
+                elif choice == "r":
+                    selected.clear()
+                    remaining_items = full_sorted_items.copy()
+                    print(colorText("🔄 Selections reset.", "yellow"))
+                    continue
+                indices = Selector._parse_selection_input(choice, len(remaining_items))
+                newly_selected = []
+                for index in indices:
+                    item = remaining_items[index - 1]
+                    if item not in selected:
+                        selected.append(item)
+                        newly_selected.append(item)
+                        if prompt_each:
+                            logger.info(f"Selected: {label_func(item)}")
+                    else:
+                        logger.warning("Item already selected.")
+                remaining_items = [item for item in remaining_items if item not in newly_selected]
+            return selected if selected else None
+        else:
+            Selector._display_choices(full_sorted_items, label_func,  num_columns=num_columns, header=header)
+            try:
+                choice = int(get_sanitized_input("Select one item by number: "))
+                if 1 <= choice <= len(full_sorted_items):
+                    selected_item = full_sorted_items[choice - 1]
+                    logger.info(f"Selected: {label_func(selected_item)}")
+                    return selected_item
+                else:
+                    logger.warning("Selection out of range.")
+            except ValueError:
+                logger.warning("Invalid input.")
+            return None
+
+    @staticmethod
+    def select_with_mode(
+        items: List[Any],
+        label_func: Callable[[Any], str],
+        header: str = "Available Choices:"
+    ) -> List[Any]:
+        print(colorText("Choose selection mode: [I]nclude only selected, [E]xclude selected, [A]ll (skip):", "white"))
+        mode = get_sanitized_input("").strip().lower()
+        if mode == "a":
+            return items
+        selected = Selector._select_from_list(
+            items,
+            label_func=label_func,
+            allow_multiple=True,
+            prompt_each=False,
+            header=header
+        )
+        if not selected:
+            return items
+        if mode == "i":
+            print(colorText(f"✅ Included {len(selected)} item(s).", "green"))
+            return selected
+        elif mode == "e":
+            print(colorText(f"🚫 Excluded {len(selected)} item(s).", "yellow"))
+            return [item for item in items if item not in selected]
+        else:
+            print(colorText("⚠️ Invalid mode. Returning all items.", "yellow"))
+            return items
+
+    @staticmethod
+    def select_objects(
+        objects: List[Any],
+        allow_multiple: bool = False,
+        prompt_each: bool = False
+    ) -> Union[Optional[Any], List[Any]]:
+        return Selector._select_from_list(
+            objects,
+            label_func=lambda obj: getattr(obj, "name", str(obj)),
+            allow_multiple=allow_multiple,
+            prompt_each=prompt_each,
+            header="Available Objects:"
+        )
+
+    @staticmethod
+    def select_string(
+        options: List[str],
+        allow_multiple: bool = False,
+        prompt_each: bool = False
+    ) -> Union[Optional[str], List[str]]:
+        return Selector._select_from_list(
+            options,
+            label_func=str,
+            allow_multiple=allow_multiple,
+            prompt_each=prompt_each,
+            header="Available Options:"
+        )
+
+    @staticmethod
+    def select_int(
+        options: List[int],
+        allow_multiple: bool = False,
+        prompt_each: bool = False
+    ) -> Union[Optional[int], List[int]]:
+        return Selector._select_from_list(
+            options,
+            label_func=lambda x: str(x),
+            allow_multiple=allow_multiple,
+            prompt_each=prompt_each,
+            header="Available Integers:"
+        )
+
+    @staticmethod
+    def select_value(
+        prompt: str,
+        value_type: type = int,
+        valid_range: Optional[tuple] = None,
+        allow_quit: bool = False
+    ) -> Optional[Any]:
+        while True:
+            user_input = get_sanitized_input(prompt).strip().lower()
+            if allow_quit and user_input == "q":
+                logger.info("User opted to quit value selection.")
+                return None
+            try:
+                value = value_type(user_input)
+                if valid_range:
+                    min_val, max_val = valid_range
+                    if not (min_val <= value <= max_val):
+                        logger.warning(f"Value out of range ({min_val}–{max_val}).")
+                        continue
+                logger.info(f"User selected value: {value}")
+                return value
+            except ValueError:
+                logger.warning(f"Invalid input. Expected a {value_type.__name__}.")
+
+    @staticmethod
+    def confirm(prompt: str = "Are you sure? (Y/N): ") -> bool:
+        while True:
+            response = get_sanitized_input(prompt).strip().lower()
+            if response in ["y", "yes"]:
+                logger.info("User confirmed action.")
+                return True
+            elif response in ["n", "no"]:
+                logger.info("User declined action.")
+                return False
+            else:
+                logger.warning("Invalid confirmation input. Expected 'Y' or 'N'.")
+
+    @staticmethod
+    def select_dataframe_rows(
+        df: pd.DataFrame,
+        columns: Optional[List[str]] = None,
+        allow_multiple: bool = False,
+        prompt_each: bool = False,
+        header: str = "Available Rows:"
+    ) -> List[pd.Series]:
+        if df.empty:
+            print("DataFrame is empty.")
+            return []
+
+        if columns:
+            df = df[columns]
+
+        items = [row for _, row in df.iterrows()]
+        label_func = lambda row: str(row.to_dict())
+
+        result = Selector._select_from_list(
+            items,
+            label_func=label_func,
+            allow_multiple=allow_multiple,
+            prompt_each=prompt_each,
+            header=header
+        )
+
+        if isinstance(result, pd.Series):
+            return [result]
+        elif isinstance(result, list):
+            return result
+        else:
+            return []
+
+    @staticmethod
+    def select_dataframe_with_mode(
+        df: pd.DataFrame,
+        columns: Optional[List[str]] = None,
+        header: str = "Available Rows:"
+    ) -> List[pd.Series]:
+        if df.empty:
+            print("⚠️ DataFrame is empty.")
+            return []
+
+        # Filter columns if specified
+        if columns:
+            df = df[columns]
+
+        items = df.to_dict("records")
+        label_func = lambda row: " | ".join(str(row[col]) for col in df.columns)
+
+        # Show rows first
+        print(colorText(header, "cyan"))
+        for i, row in enumerate(items):
+            print(f"{i}: {label_func(row)}")
+
+        # Prompt for mode once
+        print(colorText("\nChoose selection mode: [I]nclude only selected, [E]xclude selected, [A]ll (skip):", "white"))
+        mode = get_sanitized_input("").strip().lower()
+
+        if mode == "a":
+            return [pd.Series(row) for row in items]
+
+        # Prompt for selection only once
+        selected = Selector._select_from_list(
+            items,
+            label_func=label_func,
+            allow_multiple=True,
+            prompt_each=False,
+            header=header
+        )
+
+        if not selected:
+            return [pd.Series(row) for row in items]
+
+        if mode == "i":
+            print(colorText(f"✅ Included {len(selected)} row(s).", "green"))
+            return [pd.Series(row) for row in selected]
+        elif mode == "e":
+            print(colorText(f"🚫 Excluded {len(selected)} row(s).", "yellow"))
+            return [pd.Series(row) for row in items if row not in selected]
+        else:
+            print(colorText("⚠️ Invalid mode. Returning no rows.", "yellow"))
+            return []

utils/setup.py

@@ -0,0 +1,203 @@
+# Copyright (C) 2025 James Brotosky, Brandon Wickline
+#
+# This program is free software: you can redistribute it and/or modify
+# it under the terms of the GNU Affero General Public License as published
+# by the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# This program is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+# GNU Affero General Public License for more details.
+#
+# You should have received a copy of the GNU Affero General Public License
+# along with this program. If not, see <https://www.gnu.org/licenses/>.
+
+import json
+import logging
+import logging.config
+import logging.handlers
+import os
+from pathlib import Path
+import platform
+import sys
+
+from dotenv import load_dotenv, set_key
+
+from utils.configmanager import PROTECTED_KEYS, load_protected_config
+
+
+def get_base_directory() -> Path:
+    system = platform.system()
+    home = Path.home()
+    if system == 'Windows':
+        return Path(os.getenv('APPDATA', home / 'AppData' / 'Roaming')) / "AirlockTools"
+    elif system == 'Darwin':
+        return home / 'Library' / 'Application Support' / "AirlockTools"
+    else:
+        return home / '.local' / 'share' / "AirlockTools"
+
+
+def configure_logging(log_dir: Path, log_level: str = "DEBUG"):
+    log_file = log_dir / "airlocktools.log"
+
+    config = {
+        "version": 1,  # Required key for dictConfig format version
+        "disable_existing_loggers": False,  # Keeps existing loggers active
+        "formatters": {
+            "detailed": {
+                "format": "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+                # Includes timestamp, logger name, level, and message
+            },
+            "simple": {
+                "format": "%(levelname)s - %(message)s"
+                # Minimal format for console output
+            },
+        },
+        "handlers": {
+            "file": {
+                "class": "logging.handlers.TimedRotatingFileHandler",
+                "filename": str(log_file),
+                "when": "midnight",       # Rotate logs at midnight
+                "interval": 1,            # Every 1 day
+                "backupCount": 7,         # Keep 7 days of logs
+                "encoding": "utf-8",        # Ensure UTF-8 encoding
+                "level": "DEBUG",           # Always log DEBUG and above
+                "formatter": "detailed",    # Use detailed format
+            },
+            "console": {
+                "class": "logging.StreamHandler",
+                "level": log_level.upper(),  # Configurable log level
+                "formatter": "simple",       # Use simple format
+            },
+        },
+        "root": {
+            "level": "DEBUG",  # Root logger level
+            "handlers": ["file", "console"],  # Attach both handlers
+        },
+    }
+
+    # Add Windows Event Log handler if on Windows
+    if platform.system() == "Windows":
+        try:
+            config["handlers"]["eventlog"] = {
+                "class": "logging.handlers.NTEventLogHandler",
+                "appname": "AirlockTools",  # Event log source name
+                "level": "CRITICAL",        # Only log critical errors
+                "formatter": "simple",      # Use simple format
+            }
+            config["root"]["handlers"].append("eventlog")
+        except Exception as e:
+            logging.warning(f"Could not attach Windows Event Log handler: {e}")
+
+    # Apply the logging configuration
+    logging.config.dictConfig(config)
+    logging.getLogger().debug("✅ Logging configured.")
+
+    
+def get_system_config_path() -> Path:
+    base_path = Path(getattr(sys, '_MEIPASS', os.path.dirname(os.path.abspath(__file__))))
+    return base_path.parent / "system_config.json"
+
+
+def load_system_config() -> dict:
+    try:
+        config_path = get_system_config_path()
+        with open(config_path, "r") as f:
+            return json.load(f)
+    except FileNotFoundError:
+        logging.warning("⚠️ system_config.json not found. Using built-in defaults.")
+        return {
+            "APPNAME": "AirlockTools",
+            "LOG_LEVEL": "DEBUG",
+            "PATH_EXCLUSION_CONST": 4,
+            "MIN_FILES_FOR_PATH": 4,
+            "VT_THREAT_TOLERANCE": 4,
+            "POLICY_MAP_ENF_AUD": {
+                "enforced_id": "audit_id"
+            }
+        }
+
+def load_user_config(config_dir: Path) -> dict:
+    user_config_path = config_dir / "user_config.json"
+    if not user_config_path.exists():
+        default_user_config = {
+            "URL": "",
+            "LOG_LEVEL": "INFO"
+        }
+        with open(user_config_path, "w") as f:
+            json.dump(default_user_config, f, indent=4)
+        logging.debug(f"Created user config at {user_config_path}")
+    with open(user_config_path, "r") as f:
+        return json.load(f)
+
+def write_config_to_env(config: dict, env_path: Path):
+    for key, value in config.items():
+        if key in PROTECTED_KEYS:
+            continue  # Skip protected keys
+        try:
+            serialized = json.dumps(value) if isinstance(value, (list, dict)) else str(value)
+            set_key(env_path, key, serialized)
+        except Exception as e:
+            logging.warning(f"Failed to write {key} to .env: {e}")
+
+def setup():
+    base_dir = get_base_directory()
+    dirs = {
+        'config': base_dir / 'config',
+        'cache': base_dir / 'cache',
+        'logs': base_dir / 'logs',
+    }
+
+    for name, path in dirs.items():
+        path.mkdir(parents=True, exist_ok=True)
+        logging.debug(f"{name.capitalize()} directory ensured at: {path}")
+
+    system_config = load_system_config()
+    configure_logging(dirs['logs'], system_config.get("LOG_LEVEL", "DEBUG"))
+
+    env_path = base_dir / ".env"
+    if not env_path.exists():
+        env_path.touch()
+    load_dotenv(dotenv_path=env_path, override=True)
+
+    working_dir = Path(os.getenv("WORKING_DIR") or (base_dir / "data"))
+    working_dir.mkdir(parents=True, exist_ok=True)
+    set_key(env_path, "WORKING_DIR", str(working_dir))
+    os.environ["WORKING_DIR"] = str(working_dir)
+    logging.debug(f"Working directory set to: {working_dir}")
+
+    folders_structure = {
+        "Approved": [],
+        "Needs_Review": ["Review_First", "Review_Second", "HTML"],
+        "Preflight": ["HTML"],
+        "Archived": []
+    }
+
+    for folder_name, subfolders in folders_structure.items():
+        folder_path = working_dir / folder_name
+        folder_path.mkdir(parents=True, exist_ok=True)
+        logging.debug(f"'{folder_name}' folder ensured at: {folder_path}")
+        for subfolder in subfolders:
+            subfolder_path = folder_path / subfolder
+            subfolder_path.mkdir(parents=True, exist_ok=True)
+            logging.debug(f" └─ '{subfolder}' subfolder created at: {subfolder_path}")
+
+    user_config = load_user_config(dirs['config'])
+    merged_config = {**system_config, **user_config}
+
+    protected_config = load_protected_config()
+    merged_config.update(protected_config)
+
+    # ✅ URL resolution order: system_config → .env → user prompt
+    url = system_config.get("URL")
+    if not url:
+        url = os.getenv("URL")
+    if not url:
+        url = input("🌐 Enter the service URL (e.g., https://example.com/api): ").strip()
+    merged_config["URL"] = url
+    set_key(env_path, "URL", url)
+    os.environ["URL"] = url
+    logging.debug(f"Service URL set to: {url}")
+
+    write_config_to_env(merged_config, env_path)

utils/tui.py

@@ -0,0 +1,489 @@
+import logging
+import os
+import sys
+
+import dotenv
+from dotenv import set_key
+from textual.app import App, ComposeResult
+from textual.containers import Horizontal, Vertical
+from textual.reactive import reactive
+from textual.screen import Screen
+from textual.widgets import (
+    Button,
+    DirectoryTree,
+    Footer,
+    Header,
+    Static,
+    Tab,
+    Tabs,
+    Tree,
+)
+
+from flows.otp import otp_activities_by_agent, otp_generate, otp_revoke
+from flows.prepPolicy import menu_policy_enforce
+from flows.quietAgent import findQuietAgents
+from services.agenthandler import findAgents, moveAgents, toggleEnforcement
+from services.API import AirlockAPIWrapper
+from services.policyhandler import confirmUpdateAfromE
+from utils.configmanager import load_env
+from utils.setup import get_base_directory, load_user_config
+from utils.utils import open_directory
+
+dotenv.load_dotenv()
+
+# ---------------------------------------------------------------------------
+# GLOBAL STASH
+# ---------------------------------------------------------------------------
+
+_PENDING_JOB = None
+
+logger = logging.getLogger(__name__)
+
+
+# ---------------------------------------------------------------------------
+# helper to persist TEXTUAL_THEME to *user* config and mirror to .env
+# ---------------------------------------------------------------------------
+def _persist_user_theme(theme_name: str) -> None:
+    """
+    Store the chosen Textual theme in the user's config:
+      <base>/config/user_config.json
+    and also mirror to <base>/.env so load_env(...) sees it.
+    """
+    base_dir = get_base_directory()
+    config_dir = base_dir / "config"
+    user_config_path = config_dir / "user_config.json"
+    env_path = base_dir / ".env"
+
+    # ensure dirs / files exist similarly to setup()
+    config_dir.mkdir(parents=True, exist_ok=True)
+    if not user_config_path.exists():
+        # minimal default like your load_user_config does
+        user_config_path.write_text('{"URL": "", "LOG_LEVEL": "INFO"}\n', encoding="utf-8")
+
+    # load existing user config
+    user_conf = load_user_config(config_dir)
+    user_conf["TEXTUAL_THEME"] = theme_name
+
+    # write it back
+    user_config_path.write_text(
+        # pretty print so it stays human-readable
+        __import__("json").dumps(user_conf, indent=4),
+        encoding="utf-8",
+    )
+    logger.debug("Updated user_config.json with TEXTUAL_THEME=%s", theme_name)
+
+    # mirror to .env (like setup.write_config_to_env does)
+    env_path.parent.mkdir(parents=True, exist_ok=True)
+    if not env_path.exists():
+        env_path.touch()
+    try:
+        set_key(str(env_path), "TEXTUAL_THEME", theme_name)
+    except Exception as exc:  # keep going even if .env write fails
+        logger.warning("Failed to mirror TEXTUAL_THEME to .env: %s", exc)
+
+    # reload so load_env(...) sees the new value right now
+    dotenv.load_dotenv(dotenv_path=env_path, override=True)
+    logger.debug("Reloaded .env from %s", env_path)
+
+
+
+
+# ---------------------------------------------------------------------------
+# 1) SCREEN
+# ---------------------------------------------------------------------------
+class MainMenuScreen(Screen):
+    current_tab = reactive("")
+
+    BUTTON_DEFS = {
+        "find": [
+            ("🔍 - Device Search", "find_device_button"),
+            ("🔇 - Find Quiet Hosts", "find_quiet_button"),
+        ],
+        "move": [
+            ("✅ - Move to local approval", "move_local_button"),
+            ("🔄 - Move to Audit/Enforcement", "move_audit_button"),
+            ("🔀 - Move - Other", "move_other_button"),
+        ],
+        "otp": [
+            ("🔐 - Generate OTPs", "otp_generate_button"),
+            ("📊 - OTP Activities By Agent", "otp_activities_button"),
+            ("❌ - Revoke OTPs", "otp_revoke_button"),
+        ],
+        "policy": [
+            ("🔒 - Prepare Policy For Enforcement", "policy_prep_button"),
+            ("🔄 - Update Audit Policies", "policy_audit_update_button"),
+        ],
+    }
+
+    # textual themes to expose
+    THEME_BUTTONS = [
+        ("textual-dark", "textual-dark"),
+        ("textual-light", "textual-light"),
+        ("nord", "nord"),
+        ("gruvbox", "gruvbox"),
+        ("catppuccin-mocha", "catppuccin-mocha"),
+        ("dracula", "dracula"),
+        ("tokyo-night", "tokyo-night"),
+        ("monokai", "monokai"),
+        ("flexoki", "flexoki"),
+        ("catppuccin-latte", "catppuccin-latte"),
+        ("solarized-light", "solarized-light"),
+    ]
+
+    def __init__(self) -> None:
+        super().__init__()
+        self.extras = load_env("EXTRAS")
+        wd = load_env("WORKING_DIR") or os.getcwd()
+        if not os.path.isdir(wd):
+            wd = os.getcwd()
+        self.working_dir = wd
+
+
+    def _make_buttons_for(self, tab_id: str) -> Vertical:
+        defs = self.BUTTON_DEFS.get(tab_id, [])
+        buttons = []
+        for label, btn_id in defs:
+            btn = Button(label, id=btn_id)
+            btn.styles.width = "100%"  # Make button span full width of parent
+            buttons.append(btn)
+        return Vertical(*buttons)
+
+
+
+
+    def compose(self) -> ComposeResult:
+        yield Header(show_clock=True, icon="⚙")
+
+        tabs = [
+            Tab("Policy Tree", id="p_tree"),
+            Tab("Device Search", id="find"),
+            Tab("Move Agent", id="move"),
+            Tab("OTP", id="otp"),
+            Tab("Directory", id="dir"),
+            Tab("Settings", id="settings"),
+        ]
+
+        if self.extras == "POLICYPREP":
+            tabs.insert(3, Tab("Policy Prep", id="policy"))
+
+        yield Tabs(*tabs, id="tabs")
+        yield Vertical(id="content")
+        yield Footer()
+
+    def on_mount(self) -> None:
+        self.switch_tab("find")
+
+    # focus helpers
+    def _get_content_buttons(self) -> list[Button]:
+        content = self.query_one("#content", Vertical)
+        return list(content.query(Button))
+
+    def _focus_first_button(self) -> None:
+        buttons = self._get_content_buttons()
+        if buttons:
+            buttons[0].focus()
+
+    def _focus_tabs(self) -> None:
+        tabs = self.query_one("#tabs", Tabs)
+        tabs.focus()
+
+    def _focus_nearby_button(self, direction: int) -> None:
+        buttons = self._get_content_buttons()
+        if not buttons:
+            return
+
+        try:
+            current = next(i for i, b in enumerate(buttons) if b.has_focus)
+        except StopIteration:
+            if direction > 0:
+                buttons[0].focus()
+            else:
+                buttons[-1].focus()
+            return
+
+        if direction < 0 and current == 0:
+            self._focus_tabs()
+            return
+
+        new_index = current + direction
+        if 0 <= new_index < len(buttons):
+            buttons[new_index].focus()
+    
+    
+    def switch_tab(self, tab_id: str) -> None:
+        self.current_tab = tab_id
+        content = self.query_one("#content", Vertical)
+        content.remove_children()
+
+        if tab_id in self.BUTTON_DEFS:
+            content.mount(self._make_buttons_for(tab_id))
+            self.call_later(self._focus_first_button)
+        elif tab_id == "dir":
+            content.mount(DirectoryTree(self.working_dir, id="dir_tree"))
+        elif tab_id == "p_tree":
+            layout = Horizontal()
+            content.mount(layout)
+
+            # Left: Policy Tree
+            policy_tree = Tree("Policies", id="policy_tree")
+            policy_tree.styles.width = "2fr"
+            layout.mount(policy_tree)
+
+            # Right: Details pane
+            details_pane = Static("Select a policy or device to view details", id="details-pane")
+            details_pane.styles.width = "3fr"
+            layout.mount(details_pane)
+
+            # Build the tree
+            node_map = {}
+
+            # Top-level policies
+            for _, policy in self.app.policies.iterrows():
+                if policy["parent"] == "global-policy-settings":
+                    node = policy_tree.root.add(label=policy["name"], data=policy.to_dict())
+                    node_map[policy["groupid"]] = node
+
+            # Child policies
+            for _, policy in self.app.policies.iterrows():
+                parent_id = policy["parent"]
+                if parent_id in node_map:
+                    parent_node = node_map[parent_id]
+                    node = parent_node.add(label=policy["name"], data=policy.to_dict())
+                    node_map[policy["groupid"]] = node
+
+            # Devices under policies
+            for _, device in self.app.devices.iterrows():
+                group_id = device["groupid"]
+                if group_id in node_map:
+                    parent_node = node_map[group_id]
+                    label = device["hostname"]  # Keep tree clean
+                    parent_node.add(label=label, data=device.to_dict())
+
+
+        elif tab_id == "settings":
+            # Create and mount the horizontal container
+            horizontal_container = Horizontal(id="settings_grid")
+            horizontal_container.styles.layout = "horizontal"
+            horizontal_container.styles.height = "auto"
+            content.mount(Static("Theme Options"))
+            content.mount(horizontal_container)  # Mount the horizontal container first
+
+            # Create 3 columns
+            for i in range(1):
+                column = Vertical()
+                column.styles.width = "1fr"
+                column.styles.height = "auto"
+                horizontal_container.mount(column)  # Mount each column
+
+                for j in range(i, len(self.THEME_BUTTONS), 1):
+                    if j < len(self.THEME_BUTTONS):
+                        label, btn_id = self.THEME_BUTTONS[j]
+                        button = Button(label, id=f"set_theme_{btn_id}", compact=True)
+                        #button.styles.width = "100%"
+                        column.mount(button)  # Mount each button
+
+        else:
+            content.mount(Static(f"Unknown tab: {tab_id}"))
+
+    def on_tabs_tab_activated(self, event: Tabs.TabActivated) -> None:
+        self.switch_tab(event.tab.id)
+
+    def on_tree_node_selected(self, message: Tree.NodeSelected) -> None:
+        node = message.node
+        data = node.data
+
+        details_pane = self.query_one("#details-pane", Static)
+
+        if data:
+            details = "\n".join(f"{key}: {value}" for key, value in data.items())
+        else:
+            details = f"Selected: {node.label}"
+
+        details_pane.update(details)
+    
+
+    def on_directory_tree_file_selected(self, event: DirectoryTree.FileSelected) -> None:
+        path = event.path
+        logger.debug("Directory file selected: %s", path)
+        try:
+            open_directory(str(path))
+        except Exception as exc:
+            logger.error("Failed to open %s: %s", path, exc)
+            self.app.bell()
+
+    def on_button_pressed(self, event: Button.Pressed) -> None:
+        global _PENDING_JOB
+        button_id = event.button.id
+        logger.debug("Button pressed: %s", button_id)
+
+        # theme selection → user config
+        if button_id.startswith("set_theme_"):
+            theme_name = button_id.replace("set_theme_", "")
+            _persist_user_theme(theme_name)
+            _PENDING_JOB = ("restart",)
+            self.app.exit()
+            return
+
+        match button_id:
+            case "find_device_button":
+                _PENDING_JOB = ("legacy", findAgents, (self.app.api, False), {})
+            case "find_quiet_button":
+                _PENDING_JOB = ("legacy", findQuietAgents, (self.app.api,), {})
+            case "move_local_button":
+                _PENDING_JOB = (
+                    "legacy",
+                    print,
+                    ("Move to local approval (placeholder)",),
+                    {},
+                )
+            case "move_audit_button":
+                _PENDING_JOB = ("legacy", toggleEnforcement, (self.app.api,), {})
+            case "move_other_button":
+                _PENDING_JOB = ("legacy", moveAgents, (self.app.api,), {})
+            case "otp_generate_button":
+                _PENDING_JOB = ("legacy", otp_generate, (self.app.api,), {})
+            case "otp_activities_button":
+                _PENDING_JOB = ("legacy", otp_activities_by_agent, (self.app.api,), {})
+            case "otp_revoke_button":
+                _PENDING_JOB = ("legacy", otp_revoke, (self.app.api,), {})
+            case "policy_prep_button":
+                _PENDING_JOB = ("legacy", menu_policy_enforce, (self.app.api,), {})
+            case "policy_audit_update_button":
+                _PENDING_JOB = ("legacy", confirmUpdateAfromE, (self.app.api,), {})
+            case _:
+                self.app.bell()
+                logger.warning("Unknown button pressed: %s", button_id)
+                return
+
+        logger.debug("Set _PENDING_JOB = %r", _PENDING_JOB)
+        self.app.exit()
+
+
+
+
+
+
+# ---------------------------------------------------------------------------
+# 2) APP
+# ---------------------------------------------------------------------------
+class AirlockTools(App):
+    CSS = """
+    #logo {
+        width: 100%;
+        content-align: center middle;
+        text-align: center;
+    }
+    """
+
+    BINDINGS = [
+        ("q", "quit", "Quit"),
+        ("d", "open_dir", "Open Directory"),
+    ]
+
+    def __init__(self, api: AirlockAPIWrapper):
+        self._textual_theme = load_env("TEXTUAL_THEME") or "nord"
+        super().__init__()
+        self.api = api
+        wd = load_env("WORKING_DIR") or os.getcwd()
+        if not os.path.isdir(wd):
+            wd = os.getcwd()
+        self.working_dir = wd
+        self.policies = api.policy_find_all()
+        self.devices = api.agent_find_all()
+
+    def on_mount(self) -> None:
+        self.theme = self._textual_theme
+        self.push_screen(MainMenuScreen())
+
+    def action_quit(self) -> None:
+        global _PENDING_JOB
+        _PENDING_JOB = None
+        self.exit()
+
+    def action_open_dir(self) -> None:
+        screen = self.screen_stack[-1]
+        if isinstance(screen, MainMenuScreen):
+            if screen.current_tab != "dir":
+                screen.switch_tab("dir")
+
+
+
+# ---------------------------------------------------------------------------
+# 3) TERMINAL + LEGACY
+# ---------------------------------------------------------------------------
+def _restore_terminal_for_legacy() -> None:
+    sys.stdout.write("\033[?1049l")
+    sys.stdout.write("\033[?25h")
+    sys.stdout.write("\033[0m")
+    sys.stdout.write("\033[?1000l\033[?1002l\033[?1003l\033[?1006l")
+    sys.stdout.write("\033[2J\033[H")
+    sys.stdout.flush()
+
+    if os.name == "nt":
+        try:
+            import ctypes
+            kernel32 = ctypes.windll.kernel32
+            handle = kernel32.GetStdHandle(-11)
+            mode = ctypes.c_ulong()
+            if kernel32.GetConsoleMode(handle, ctypes.byref(mode)):
+                kernel32.SetConsoleMode(handle, mode.value | 0x0004)
+        except Exception as exc:
+            logger.debug("VT enable on Windows failed: %s", exc)
+
+
+def _run_legacy_job(func, args, kwargs) -> None:
+    logger.debug("Running legacy job: %s", getattr(func, "__name__", func))
+    _restore_terminal_for_legacy()
+
+    try:
+        func(*args, **kwargs)
+    finally:
+        try:
+            input("\nPress Enter to return to the UI...")
+        except EOFError:
+            pass
+
+
+# ---------------------------------------------------------------------------
+# 4) PUBLIC ENTRYPOINT
+# ---------------------------------------------------------------------------
+def run_AirlockTools(api: AirlockAPIWrapper) -> None:
+    global _PENDING_JOB
+
+    while True:
+        base_dir = get_base_directory()
+        env_path = base_dir / ".env"
+        dotenv.load_dotenv(dotenv_path=env_path, override=True)
+
+        _PENDING_JOB = None
+        app = AirlockTools(api)
+
+        try:
+            app.run()
+        except SystemExit as exc:
+            logger.debug("Caught SystemExit from Textual: %s", exc)
+
+        job = _PENDING_JOB
+        logger.debug("After app.run(), _PENDING_JOB = %r", job)
+
+        if not job:
+            break
+
+        if job[0] == "legacy":
+            _, func, args, kwargs = job
+            _run_legacy_job(func, args, kwargs)
+            continue
+
+        if job[0] == "restart":
+            # just loop again; fresh .env was already loaded at the top
+            continue
+
+        break
+
+
+# ---------------------------------------------------------------------------
+# 5) DEV
+# ---------------------------------------------------------------------------
+if __name__ == "__main__":
+    api = AirlockAPIWrapper()
+    run_AirlockTools(api)

utils/utils.py

@@ -12,9 +12,377 @@
 #
 #    You should have received a copy of the GNU Affero General Public License
 #    along with this program.  If not, see <https://www.gnu.org/licenses/>.
-import os
 
-def colorText(text: str, color: str) -> str:
+
+import logging
+import os
+import platform
+import re
+import subprocess
+import tempfile
+import tkinter as tk
+from tkinter import filedialog
+
+import pandas as pd
+
+logger = logging.getLogger(__name__)
+
+
+
+
+def import_to_dataframe(file_path: str) -> pd.DataFrame:
+    df = pd.DataFrame()
+
+    try:
+        if not os.path.exists(file_path):
+            print(colorText(f"Error: File '{file_path}' does not exist.", "red"))
+            return df
+
+        ext = os.path.splitext(file_path)[1].lower()
+
+        if ext == ".csv":
+            df = pd.read_csv(file_path)
+        elif ext == ".parquet":
+            df = pd.read_parquet(file_path)
+        else:
+            print(colorText(f"Error: Unsupported file extension '{ext}'.", "red"))
+            return df
+
+        if df.empty:
+            print(colorText("Error: File has headers but no data rows.", "red"))
+        else:
+            print(colorText(f"Data loaded successfully from {file_path}", "green"))
+
+        return df
+
+    except pd.errors.EmptyDataError:
+        print(
+            colorText(
+                "Notice: CSV file is completely empty, falling back to empty frame",
+                "white",
+            )
+        )
+        return pd.DataFrame()
+
+    except Exception as e:
+        print(colorText(f"Error reading file: {e}", "red"))
+        return pd.DataFrame()
+
+
+def choose_directory():
+    root = tk.Tk()
+    root.withdraw()  # Hide the main window
+    directory = filedialog.askdirectory(title="Select a Directory")
+    print("Selected directory:", directory)
+    return directory
+
+
+def choose_file(initial_directory=None, required_substring=None):
+    """Open a file dialog and ensure the selected file contains a required substring."""
+    while True:
+        root = tk.Tk()
+        root.withdraw()  # Hide the main window
+        file_path = filedialog.askopenfilename(initialdir=initial_directory)
+
+        if not file_path:
+            print("No file selected.")
+            return None
+
+        if required_substring and required_substring not in file_path:
+            print(
+                f"The selected file must contain '{required_substring}' in its path or name. Please try again."
+            )
+        else:
+            return file_path
+
+
+
+
+def get_sanitized_input(prompt: str) -> str:
+    while True:
+        user_input = input(prompt)
+        if user_input.strip() == "":
+            return user_input  # Allow blank lines
+        if re.match(r'^[a-zA-Z0-9_\- .]+$', user_input.strip()):
+            return user_input
+        else:
+            print("Invalid input. Only letters, numbers, underscores, spaces, hyphens, and periods are allowed.")
+
+
+def regulator(paths, case_insensitive=True):
+    """
+    Build a regex pattern that matches any of the given Windows path fragments.
+    """
+    escaped = [re.escape(p) for p in paths]
+    pattern = "(?:" + "|".join(escaped) + ")"
+    if case_insensitive:
+        pattern = "(?i)" + pattern  # Add inline case-insensitive flag
+    print(f"Regulator is providing: {pattern}")
+    return pattern
+def irtang():
+        print(
+        colorText(
+            r"""
+                                                           ███                  
+                ████                                  ░████████                 
+               █████████████                      ███████████████               
+              █████████████████████          █████████████████████              
+              ███████████████████           ██████████████████████▓             
+             ███████████████████             ██████████████████████             
+            █████████████████████            ███████████████████████            
+            ████████████████████████████████████████████████████████            
+            █████████      ██              ██              █████████            
+            █████████      ██      ███      █              █████████            
+            █████████      ██      ████     █████      █████████████            
+            █████████      ██              ██████      █████████████            
+             ████████      ██             ███████      ████████████░            
+              ███████      ██      ██▓     ██████      ████████████             
+               ██████      ██      ████     █████      ███████████              
+                █████████████████████████████████████████████████               
+                  ▒████████████████████      ██████████████████                 
+                     ███████████████████      ███████████████▒                  
+                         ███████████████      █████████████                     
+                                ██████████    ███████████                       
+                                             ████████                           
+                                             ████                               
+""",
+            "yellow",
+        )
+    )
+def displayIntro():
+
+    print(
+        colorText(
+            r"""
+   _____  .__       .__                 __     ___________           .__          
+  /  _  \ |__|______|  |   ____   ____ |  | __ \__    ___/___   ____ |  |   ______
+ /  /_\  \|  \_  __ \  |  /  _ \_/ ___\|  |/ /   |    | /  _ \ /  _ \|  |  /  ___/
+/    |    \  ||  | \/  |_(  <_> )  \___|    <    |    |(  <_> |  <_> )  |__\___ \ 
+\____|__  /__||__|  |____/\____/ \___  >__|_ \   |____| \____/ \____/|____/____  >
+        \/                           \/     \/                                 \/ 
+""",
+            "cyan",
+        )
+    )
+def welcome():
+    print(
+        colorText(
+            "=================================================================================",
+            "cyan",
+        )
+    )
+    print(
+        colorText(
+            "======================== Welcome to the Airlock API Tool ========================",
+            "cyan",
+        )
+    )
+    print(
+        colorText(
+            "=================================================================================",
+            "cyan",
+        )
+    )
+
+def section_header(title):
+    print(colorText("\n --------------------------------------------------------------------", "cyan"))
+    print(colorText(f" ------------- {title} -------------", "cyan"))
+    print(colorText(" --------------------------------------------------------------------", "cyan"))
+
+
+
+def areYouSure():
+    print(
+        colorText(
+            "🛑****************************************************************************************************************************************🛑",
+            "red",
+        )
+    )
+    print(
+        colorText(
+            "⚠️=========================================================================================================================================⚠️",
+            "yellow",
+        )
+    )
+    print(
+        colorText(
+            "🛑========================================================================================================================================🛑",
+            "red",
+        )
+    )
+    print(
+        colorText(
+            "⚠️-------------This program will now begin to make changes to the Airlock Console. Do you understand and agree to proceed? ----------------⚠️",
+            "yellow",
+        )
+    )
+    print(
+        colorText(
+            "🛑========================================================================================================================================🛑",
+            "red",
+        )
+    )
+    print(
+        colorText(
+            "⚠️=========================================================================================================================================⚠️",
+            "yellow",
+        )
+    )
+    print(
+        colorText(
+            "🛑****************************************************************************************************************************************🛑",
+            "red",
+        )
+    )
+
+
+def locked():
+    print(
+        colorText(
+            r"""
+        ████████████████████████████████████████████████████████████████        
+      ███                                                              ██       
+      ██                             ██████                            ███      
+      ██                          ████████████                         ███      
+      ██                        ████        ███                        ███      
+      ██                        ███          ███                       ███      
+      ██                        ███          ███                       ███      
+      ██                     ▒████████████████████                     ███      
+      ██                     ██████████████████████                    ███      
+      ██                     ██████████████████████                    ███      
+      ██                     ██████████████████████                    ███      
+      ██                     ██████████████████████                    ███      
+      ██                     ██████████████████████                    ███      
+      ██                                                               ███      
+      ███                                                              ███      
+      ████████████████████████████████████████████████████████████████████            
+      ▒██████████████████████████████████████████████████████████████████▒  
+                                     ▒████                                      
+                                     ▒████                                      
+                  ▓██████████████████████████████████████████                   
+                 █████████████████████████████████████████████░  
+""",
+            "yellow",
+        )
+    )
+
+
+def printDeviceEnforceChecklist():
+    print(
+        colorText(
+            "\n --------------------------------------------------------------------",
+            "cyan",
+        )
+    )
+    print(
+        colorText(
+            " ------------- 🛠️ 🔒 Prepare to Enforce Policy 🛠️ 🔒 ------------------",
+            "cyan",
+        )
+    )
+    print(
+        colorText(
+            " --------------------------------------------------------------------",
+            "cyan",
+        )
+    )
+    print(
+        colorText(
+            "\nSequentually follow these steps to prepare a policy for enforcement:",
+            "white",
+        )
+    )
+
+    print(
+        colorText(
+            "\n1. Choose which originating policy or policies to move to enforcement",
+            "cyan",
+        )
+    )
+    print(
+        colorText(
+            "2. Pull and stage event history, combine the histories, add hash info, then categorize the hashes",
+            "cyan",
+        )
+    )
+    print(colorText("3. Manually review the files:", "cyan"))
+    print(
+        colorText(
+            "     'needs_approved\\good_{first_policy}_{second_policy}.csv' and 'needs_approved\\unknown_{first_policy}_{second_policy}.csv'",
+            "cyan",
+        )
+    )
+    print(
+        colorText(
+            "     Remove the rows containing hashes you do not approve of, and those you would not approve of without metarules.",
+            "cyan",
+        )
+    )
+    print(
+        colorText(
+            "     If metarules need to be created, please make note of them, and remove the row from the csv.",
+            "cyan",
+        )
+    )
+    print(
+        colorText(
+            "     When complete, save both csv files to the directory 'approved' and choose this option.",
+            "cyan",
+        )
+    )
+    print(
+        colorText(
+            "     This will combine these approved hashes with the automatically approved hashes and generate a list of paths to be reviewed",
+            "cyan",
+        )
+    )
+    print(
+        colorText(
+            "4. Manually review the file 'needs_approved\\paths_needing_review.csv'",
+            "cyan",
+        )
+    )
+    print(
+        colorText(
+            "     Remove the rows containing path exclusions you do not approve of",
+            "cyan",
+        )
+    )
+    print(colorText("     When complete, save the csv file to the directory 'approved'", "cyan"))
+    print(
+        colorText(
+            "     Do the same process with the list of publishers forthe same directories",
+            "cyan",
+        )
+    )
+    print(colorText("     Preflight Lists will be generated", "cyan"))
+
+    print(colorText("5. Choose the destination policy and parent and child allow list", "cyan"))
+
+    print(colorText("6. Test ------------------------------------------------------", "cyan"))
+    print(colorText("     Print rather than apply selected data.", "cyan"))
+
+    print(colorText("7. Liftoff ------------------------------------------------------", "cyan"))
+    print(
+        colorText(
+            "     Apply path exclusions according to allowed and approved paths",
+            "cyan",
+        )
+    )
+    print(colorText("     Apply signed or attested hashes to Parent Allow List", "cyan"))
+    print(colorText("     Apply approved, but unsigned hashes to the Child Allow List", "cyan"))
+
+    print(
+        colorText(
+            "R. Remove/Reset Generated data - will prompt to allow keeping execution history",
+            "cyan",
+        )
+    )
+
+    print(colorText("B. Back", "cyan"))
+
+
+def colorText(text, color):
     colors = {
         "red": "\033[91m",
         "green": "\033[92m",
@@ -23,17 +391,17 @@ def colorText(text: str, color: str) -> str:
         "magenta": "\033[95m",
         "cyan": "\033[96m",
         "white": "\033[97m",
-		"reset": "\033[0m"
+        "reset": "\033[0m",
     }
-    
     return f"{colors.get(color, colors['reset'])}{text}{colors['reset']}"
 
-def style_dataframe_dark(df, output_html_path=None, overwrite=True):
+
+def formatHTML(df, output_html_path=None, overwrite=True):
     from datetime import datetime
 
     # Get current date and filename for subtitle
     today = datetime.now().strftime("%d %B %Y")  # Changed to "Day Month Year"
-    filename = output_html_path.replace('.html', '') if output_html_path else "Report"
+    filename = output_html_path.replace(".html", "") if output_html_path else "Report"
 
     dark_css = """
     <style>
@@ -144,196 +512,34 @@ def style_dataframe_dark(df, output_html_path=None, overwrite=True):
             f.write(styled_html)
         print(f"✅ Styled table saved to '{output_html_path}'")
     elif overwrite:
-        import tempfile
+        with tempfile.NamedTemporaryFile(
-        temp_path = tempfile.mktemp(suffix=".html")
+            suffix=".html", delete=False, mode="w", encoding="utf-8"
-        with open(temp_path, "w", encoding="utf-8") as f:
+        ) as f:
             f.write(styled_html)
-        print(f"✅ Styled table saved to temporary file: {temp_path}")
+            temp_path = f.name
+
+            print(f"✅ Styled table saved to temporary file: {temp_path}")
     else:
         return styled_html
 
 
-def displayIntro():
 
-    print(colorText(r"""
+def open_directory(path):
-                                                           ███                  
+    system = platform.system()
-                ████                                  ░████████                 
-               █████████████                      ███████████████               
-              █████████████████████          █████████████████████              
-              ███████████████████           ██████████████████████▓             
-             ███████████████████             ██████████████████████             
-            █████████████████████            ███████████████████████            
-            ████████████████████████████████████████████████████████            
-            █████████      ██              ██              █████████            
-            █████████      ██      ███      █              █████████            
-            █████████      ██      ████     █████      █████████████            
-            █████████      ██              ██████      █████████████            
-             ████████      ██             ███████      ████████████░            
-              ███████      ██      ██▓     ██████      ████████████             
-               ██████      ██      ████     █████      ███████████              
-                █████████████████████████████████████████████████               
-                  ▒████████████████████      ██████████████████                 
-                     ███████████████████      ███████████████▒                  
-                         ███████████████      █████████████                     
-                                ██████████    ███████████                       
-                                             ████████                           
-                                             ████                               
-""", "yellow"))
-    print(colorText(r"""
-   _____  .__       .__                 __     ___________           .__          
-  /  _  \ |__|______|  |   ____   ____ |  | __ \__    ___/___   ____ |  |   ______
- /  /_\  \|  \_  __ \  |  /  _ \_/ ___\|  |/ /   |    | /  _ \ /  _ \|  |  /  ___/
-/    |    \  ||  | \/  |_(  <_> )  \___|    <    |    |(  <_> |  <_> )  |__\___ \ 
-\____|__  /__||__|  |____/\____/ \___  >__|_ \   |____| \____/ \____/|____/____  >
-        \/                           \/     \/                                 \/ 
-""", "cyan"))
-    print(colorText("=================================================================================", "cyan"))
-    print(colorText("======================== Welcome to the Airlock API Tool ========================", "cyan"))
-    print(colorText("=================================================================================", "cyan"))
     
-def printEnforceChecklist(first_policy, second_policy, allowlist_child_name, allowlist_parent_name, destination_name):
+    if system == "Windows":
-
+        os.startfile(path)
-    print(colorText("\n --------------------------------------------------------------------", "cyan"))
+    elif system == "Linux":
-    print(colorText(" -------------------- Prepare to Enforce Policy ---------------------", "cyan"))
+        subprocess.run(["xdg-open", path])
-    print(colorText(" --------------------------------------------------------------------", "cyan"))
-    print(colorText("\nSequentually follow these steps to prepare a policy for enforcement:", "white"))
-  
-    print(colorText("\n1. Choose which originating policy or policies to move to enforcement", "cyan"))
-    if first_policy == " " and second_policy == " ": 
-        print(colorText(f"  [✗]  No policies have been chosen","red"))
-    elif first_policy != " " and second_policy is first_policy:
-        print(colorText(f"  [✓]  {first_policy} has been selected,", "green"))
-    elif first_policy != " " and second_policy != " ":
-        print(colorText(f"  [✓]  {first_policy} has been selected as Policy 1","green"))
-        print(colorText(f"  [✓]  {second_policy} has been selected as Policy 2","green"))
-
-	
-
-    print(colorText("2. Pull and stage event history, combine the histories, add hash info, then categorize the hashes", "cyan"))
-
-    if os.path.exists(f"parquet\\execution_history_{first_policy}.parquet"): 
-        print(colorText(f"  [✓]  Execution history has been compiled for {first_policy}","green"))
-    elif not os.path.exists(f"parquet\\execution_history_{first_policy}.parquet"): 
-        print(colorText(f"  [✗]  Execution history has not been compiled for {first_policy}","red"))
-    elif second_policy is not first_policy and os.path.exists(f"parquet\\execution_history_{second_policy}.parquet"):
-        print(colorText(f"  [✓]  Execution history has been compiled for {second_policy}","green"))
-    elif second_policy is not first_policy and not os.path.exists(f"parquet\\execution_history_{second_policy}.parquet"):
-        print(colorText(f"  [✗]  Execution history has not been compiled for {second_policy}","red"))
-
-    if 	os.path.exists(f"parquet\\combined_hashlist_{first_policy}_{second_policy}.parquet"):
-        print(colorText(f"  [✓]  Hash Info has been added to the combined execution history", "green"))
     else:
-        print(colorText(f"  [✗]  Hash Info has not been added to the combined execution history", "red"))
+        raise OSError(f"Unsupported operating system: {system}")
-
-    if os.path.exists(f"parquet\\hashes_rep_unknown_{first_policy}_{second_policy}.parquet") and os.path.exists(f"parquet\\hashes_rep_good_{first_policy}_{second_policy}.parquet") and os.path.exists(f"parquet\\hashes_rep_bad_{first_policy}_{second_policy}.parquet"):
-        print(colorText(f"  [✓]  Hashes have been cateogrized", "green"))
-    else:
-        print(colorText(f"  [✗]  Hashes have not been cateogrized", "red"))
-
-    if os.path.exists(f"parquet\\condensed_executions_{first_policy}_{second_policy}.parquet"):
-        print(colorText(f"  [✓]  Execution history has been_combined_for {first_policy} and_{second_policy}", "green"))
-    else: 
-        print(colorText(f"  [✗]  Execution history has not been_combined_for {first_policy} and_{second_policy}", "red"))
 
 
-    print(colorText(f"3. Manually review the files:","cyan"))
+def print_x_wide(items: list, width: int):
-    print(colorText("     'needs_approved\\hashes_rep_good_{first_policy}_{second_policy}.csv' and 'needs_approved\\hashes_rep_unknown_{first_policy}_{second_policy}.csv'", "cyan"))
+    for i in range(0, len(items), width):
-    print(colorText("     Remove the rows containing hashes you do not approve of, and those you would not approve of without metarules.", "cyan"))
+        row = items[i:i+width]
-    print(colorText("     If metarules need to be created, please make note of them, and remove the row from the csv.", "cyan"))
+        print(" | ".join(row))
-    print(colorText("     When complete, save both csv files to the directory 'approved' and choose this option.","cyan"))
-    print(colorText("     This will combine these approved hashes with the automatically approved hashes and generate a list of paths to be reviewed", "cyan"))
-
-    if os.path.exists(f"approved\\hashes_rep_good_{first_policy}_{second_policy}.csv") and os.path.exists(f"approved\\hashes_rep_unknown_{first_policy}_{second_policy}.csv"):
-	    print(colorText("  [✓]  Reviewed hashes have been loaded","green"))
-    else:
-        print(colorText("  [✗]  Reviewed hashes have not been loaded","red"))
-
-    if os.path.exists(f"parquet\\all_approved_hashes_{first_policy}_{second_policy}.parquet"):
-        print(colorText("  [✓]  The combined approved hashes list has been generated","green"))
-    else:
-        print(colorText("  [✗]  The combined approved hashes list has not been generated","red"))
-
-    if os.path.exists(f"needs_approved\\path_needs_approved_{first_policy}_{second_policy}.csv"):
-        print(colorText("  [✓]  Path review list created","green"))
-    else:
-        print(colorText("  [✗]  Path review list has not been created","red"))	
 
         
-    print(colorText(f"4. Manually review the file 'needs_approved\\paths_needing_review_{first_policy}_{second_policy}.csv'", "cyan"))
+def clear_screen():
-    print(colorText("     Remove the rows containing path exclusions you do not approve of" , "cyan"))
+    os.system('cls' if os.name == 'nt' else 'clear')
-    print(colorText("     When complete, save the csv file to the directory 'approved'", "cyan"))
-    print(colorText("     Preflight Lists will be generated", "cyan"))
-
-    if  os.path.exists(f"approved\\path_needs_approved_{first_policy}_{second_policy}.csv"):
-        print(colorText("  [✓]  Reviewed path list detected","green"))
-    else:
-        print(colorText("  [✗]  Path review list has not been detected","red"))	
-	
-    if	os.path.exists(f"preflight\\final_path_exclusions_{first_policy}_{second_policy}.html"):
-        print(colorText("  [✓]  Preflight Path Exclusion List has been generated","green"))
-    else:
-        print(colorText("  [✗]  Preflight Path Exclusion List has not been generated","red"))	
-		
-    if os.path.exists(f"preflight\\final_hash_approvals_{first_policy}_{second_policy}.html"):
-        print(colorText("  [✓]  Preflight hash approval list has been generated","green"))
-    else:
-        print(colorText("  [✗]  Preflight hash approval list has not been generated","red"))	
-
-
-    print(colorText(f"5. Choose the destination policy and parent and child allow list", "cyan"))	
-    if allowlist_child_name == " " and allowlist_parent_name== " ": 
-        print(colorText(f"  [✗]  No allowlists have been chosen","red"))
-    elif allowlist_parent_name != " " and allowlist_child_name != " "  and allowlist_parent_name is allowlist_child_name:
-        print(colorText(f"  [✓] [✗] Only {allowlist_parent_name} has been selected this is unusual, but potentially valid case, double check before proceeding,", "yellow"))
-    elif allowlist_parent_name != " " and allowlist_child_name != " "  and allowlist_parent_name is not allowlist_child_name:
-        print(colorText(f"  [✓]  {allowlist_parent_name} has been selected as Parent Policy","green"))
-        print(colorText(f"  [✓]  {allowlist_child_name} has been selected as Child Policy","green"))
-    if destination_name == " ":
-        print(colorText(f"  [✗]  No destination policy has been chosen","red"))
-    else:
-        print(colorText(f"  [✓]  destination policy is {destination_name}","green"))
-
-    print(colorText(f"6. Liftoff ------------------------------------------------------", "cyan"))
-    print(colorText(f"     Apply path exclusions according to allowed and approved paths", "cyan"))	
-    print(colorText(f"     Apply signed or attested hashes to Parent Allow List", "cyan"))
-    print(colorText(f"     Apply approved, but unsigned hashes to the Child Allow List", "cyan"))
-
-    print(colorText("Q. Quit", "cyan"))
-
-
-
-
-def areYouSure():
-    print(colorText(f"*******************************************************************************************************************************************","red"))
-    print(colorText(f"*=========================================================================================================================================*","yellow"))
-    print(colorText(f"*=========================================================================================================================================*","red"))
-    print(colorText(f"*-------------This program will now begin to make changes to the Airlock Console. Do you understand and agree to proceed? ----------------*", "yellow"))
-    print(colorText(f"*=========================================================================================================================================*","red"))
-    print(colorText(f"*=========================================================================================================================================*","yellow"))
-    print(colorText(f"*******************************************************************************************************************************************","red"))
-
-def locked():
-
-    print(colorText(r"""
-        ████████████████████████████████████████████████████████████████        
-      ███                                                              ██       
-      ██                             ██████                            ███      
-      ██                          ████████████                         ███      
-      ██                        ████        ███                        ███      
-      ██                        ███          ███                       ███      
-      ██                        ███          ███                       ███      
-      ██                     ▒████████████████████                     ███      
-      ██                     ██████████████████████                    ███      
-      ██                     ██████████████████████                    ███      
-      ██                     ██████████████████████                    ███      
-      ██                     ██████████████████████                    ███      
-      ██                     ██████████████████████                    ███      
-      ██                                                               ███      
-      ███                                                              ███      
-      ████████████████████████████████████████████████████████████████████            
-      ▒██████████████████████████████████████████████████████████████████▒  
-                                     ▒████                                      
-                                     ▒████                                      
-                  ▓██████████████████████████████████████████                   
-                 █████████████████████████████████████████████░  
-""", "yellow"))