ignore pyproject.toml

.gitignore

@@ -201,3 +201,4 @@ nul
 
 /*.json
 /*.exe
+/pyproject.toml

do_dashboard_constants.py

@@ -62,8 +62,8 @@ IAM_URL = "https://api-auth.ziwig-connect.com"
 GDD_URL = "https://api-lab.ziwig-connect.com"
 GDD_APP_ID = "4f5ac063-6a22-4e2c-bda5-b50c0dddab79"
 
-DEFAULT_USER_NAME = "paul.renaud"
-DEFAULT_PASSWORD = "Abdel#@#@#@123"
+DEFAULT_USER_NAME = "habib.benmoussa"
+DEFAULT_PASSWORD = "3DAqE5w&JCJx!RVKUd16#d^$u"
 
 # ============================================================================
 # API ENDPOINTS
@@ -133,3 +133,16 @@ BAR_N_FMT_WIDTH = 4
 BAR_TOTAL_FMT_WIDTH = 4
 BAR_TIME_WIDTH = 8
 BAR_RATE_WIDTH = 10
+
+# ============================================================================
+# DO HISTORY — SPECIFIC CONSTANTS
+# ============================================================================
+
+HISTORY_FILE_NAME = "do_requests_history.json"
+HISTORY_LOG_FILE_NAME = "history.log"
+
+# Default filters proposed to the user at startup (editable as JSON before processing)
+DO_HISTORY_FILTERS_DEFAULT = {"hideArchivedRequests": False, "excludeTest": True, "status": "all-admin"}
+
+# History API endpoint (GET + ?sortOrder=DESC&requestId={id})
+API_REQUEST_HISTORY_ENDPOINT = "/api/request-history"

do_history.bat

@@ -0,0 +1,3 @@
+@echo off
+call C:\PythonProjects\.rcvenv\Scripts\activate.bat
+python do_history.py %*

do_history.py

@@ -0,0 +1,675 @@
+
+# DO (Diagnostic Order) Request History Exporter
+# This script exports the audit history of all diagnostic order requests matching
+# a configurable filter. It reuses the authentication, retry, and parallel processing
+# infrastructure of do_dashboard.py (token refresh, api_call_with_retry decorator,
+# thread-local HTTP clients, dual progress bars with ThreadPoolExecutor).
+# The DO_Filters constant is presented as an editable JSON prompt at startup.
+# Output: a single JSON dict {request_id: history_data} saved to do_requests_history.json.
+# Each value is the raw response from GET /api/request-history, or null on persistent error.
+import json
+import logging
+import msvcrt
+import os
+import re
+import shutil
+import sys
+import threading
+import traceback
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from datetime import timedelta, datetime
+from time import perf_counter, sleep
+import functools
+
+import httpx
+import questionary
+from tqdm import tqdm
+from rich.console import Console
+
+from do_dashboard_constants import (
+    HISTORY_FILE_NAME,
+    HISTORY_LOG_FILE_NAME,
+    OLD_FILE_SUFFIX,
+    DO_HISTORY_FILTERS_DEFAULT,
+    DEFAULT_USER_NAME,
+    DEFAULT_PASSWORD,
+    IAM_URL,
+    GDD_URL,
+    GDD_APP_ID,
+    ERROR_MAX_RETRY,
+    WAIT_BEFORE_RETRY,
+    WAIT_BEFORE_NEW_BATCH_OF_RETRIES,
+    MAX_BATCHS_OF_RETRIES,
+    MAX_THREADS,
+    DO_WORKLIST_PAGE_SIZE,
+    BAR_N_FMT_WIDTH,
+    BAR_TOTAL_FMT_WIDTH,
+    BAR_TIME_WIDTH,
+    BAR_RATE_WIDTH,
+    API_TIMEOUT,
+    API_AUTH_LOGIN_ENDPOINT,
+    API_AUTH_CONFIG_TOKEN_ENDPOINT,
+    API_AUTH_REFRESH_TOKEN_ENDPOINT,
+    API_DO_WORKLIST_ENDPOINT,
+    API_REQUEST_HISTORY_ENDPOINT,
+)
+from do_dashboard_utils import (
+    get_httpx_client,
+    clear_httpx_client,
+    thread_local_storage,
+    run_with_context,
+    get_old_filename,
+)
+
+logging.basicConfig(
+    level=logging.WARNING,
+    format='%(asctime)s - %(levelname)s - %(message)s',
+    filename=HISTORY_LOG_FILE_NAME,
+    filemode='w',
+)
+
+
+# ============================================================================
+# BLOCK 1: CONFIGURATION & BASE INFRASTRUCTURE
+# ============================================================================
+
+access_token = ""
+refresh_token = ""
+threads_list = []
+_token_refresh_lock = threading.Lock()
+on_retry_exhausted = "ask"
+_stored_username = ""
+_stored_password = ""
+_threads_list_lock = threading.Lock()
+global_pbar = None
+_global_pbar_lock = threading.Lock()
+_user_interaction_lock = threading.Lock()
+
+httpx_clients = {}
+console = Console()
+
+import do_dashboard_utils
+do_dashboard_utils.httpx_clients = httpx_clients
+do_dashboard_utils.threads_list = threads_list
+do_dashboard_utils._threads_list_lock = _threads_list_lock
+
+custom_bar_format = (
+    "{l_bar}{bar}"
+    f" {{n_fmt:>{BAR_N_FMT_WIDTH}}}/{{total_fmt:<{BAR_TOTAL_FMT_WIDTH}}} "
+    f"[{{elapsed:<{BAR_TIME_WIDTH}}}<{{remaining:>{BAR_TIME_WIDTH}}}, "
+    f"{{rate_fmt:>{BAR_RATE_WIDTH}}}]{{postfix}}"
+)
+
+
+# ============================================================================
+# BLOCK 2: DECORATORS & RESILIENCE
+# ============================================================================
+
+def new_token():
+    """Refresh access token using the refresh token, with re-login fallback."""
+    global access_token, refresh_token
+    with _token_refresh_lock:
+        for attempt in range(ERROR_MAX_RETRY):
+            try:
+                client = get_httpx_client()
+                client.base_url = GDD_URL
+                response = client.post(
+                    API_AUTH_REFRESH_TOKEN_ENDPOINT,
+                    headers={"Authorization": f"Bearer {access_token}"},
+                    json={"refresh_token": refresh_token},
+                    timeout=20,
+                )
+                response.raise_for_status()
+                access_token = response.json()["access_token"]
+                refresh_token = response.json()["refresh_token"]
+                return
+            except httpx.RequestError as exc:
+                logging.warning(f"Refresh Token Error (Attempt {attempt + 1}) : {exc}")
+                clear_httpx_client()
+            except httpx.HTTPStatusError as exc:
+                logging.warning(
+                    f"Refresh Token Error (Attempt {attempt + 1}) : "
+                    f"{exc.response.status_code} for Url {exc.request.url}"
+                )
+                clear_httpx_client()
+            finally:
+                if attempt < ERROR_MAX_RETRY - 1:
+                    sleep(WAIT_BEFORE_RETRY)
+        logging.warning("Refresh token exhausted. Attempting re-login with stored credentials.")
+        _do_login(_stored_username, _stored_password)
+        logging.info("Re-login successful. New tokens acquired.")
+
+
+def api_call_with_retry(func):
+    """Decorator for API calls with automatic retry and token refresh on 401 errors."""
+    @functools.wraps(func)
+    def wrapper(*args, **kwargs):
+        func_name = func.__name__
+        total_attempts = 0
+        batch_count = 1
+
+        while True:
+            for attempt in range(ERROR_MAX_RETRY):
+                total_attempts += 1
+                try:
+                    return func(*args, **kwargs)
+                except (httpx.RequestError, httpx.HTTPStatusError) as exc:
+                    logging.warning(f"Error in {func_name} (Attempt {total_attempts}): {exc}")
+
+                    clear_httpx_client()
+
+                    if isinstance(exc, httpx.HTTPStatusError) and exc.response.status_code == 401:
+                        logging.info(f"Token expired for {func_name}. Refreshing token.")
+                        try:
+                            new_token()
+                        except (httpx.RequestError, httpx.HTTPStatusError) as token_exc:
+                            logging.warning(f"Token refresh/re-login failed for {func_name}: {token_exc}")
+
+                    if attempt < ERROR_MAX_RETRY - 1:
+                        sleep(WAIT_BEFORE_RETRY)
+                    else:
+                        if batch_count < MAX_BATCHS_OF_RETRIES:
+                            logging.warning(
+                                f"Batch {batch_count}/{MAX_BATCHS_OF_RETRIES} failed for {func_name}. "
+                                f"Waiting {WAIT_BEFORE_NEW_BATCH_OF_RETRIES}s before automatic retry batch."
+                            )
+                            batch_count += 1
+                            sleep(WAIT_BEFORE_NEW_BATCH_OF_RETRIES)
+                            break
+                        else:
+                            with _user_interaction_lock:
+                                if on_retry_exhausted == "ignore":
+                                    ctx = getattr(thread_local_storage, "current_request_context", {"id": "Unknown"})
+                                    logging.warning(
+                                        f"[AUTO-IGNORE] Skipping {func_name} for Request {ctx['id']}. Error: {exc}"
+                                    )
+                                    return None
+
+                                elif on_retry_exhausted == "abort":
+                                    logging.critical(
+                                        f"[AUTO-ABORT] Stopping script after persistent error in {func_name}. Error: {exc}"
+                                    )
+                                    raise httpx.RequestError(
+                                        message=f"Persistent error in {func_name} (auto-aborted)"
+                                    )
+
+                                else:
+                                    console.print(
+                                        f"\n[bold red]Persistent error in {func_name} after "
+                                        f"{batch_count} batches ({total_attempts} attempts).[/bold red]"
+                                    )
+                                    console.print(f"[red]Exception: {exc}[/red]")
+
+                                    choice = questionary.select(
+                                        f"What would you like to do for {func_name}?",
+                                        choices=[
+                                            "Retry (try another batch of retries)",
+                                            "Ignore (return None and continue)",
+                                            "Stop script (critical error)",
+                                        ],
+                                    ).ask()
+
+                                    if choice == "Retry (try another batch of retries)":
+                                        logging.info(f"User chose to retry {func_name}. Restarting batch sequence.")
+                                        batch_count = 1
+                                        break
+                                    elif choice == "Ignore (return None and continue)":
+                                        ctx = getattr(thread_local_storage, "current_request_context", {"id": "Unknown"})
+                                        logging.warning(
+                                            f"[IGNORE] User opted to skip {func_name} for Request {ctx['id']}. Error: {exc}"
+                                        )
+                                        return None
+                                    else:
+                                        logging.critical(
+                                            f"User chose to stop script after persistent error in {func_name}."
+                                        )
+                                        raise httpx.RequestError(
+                                            message=f"Persistent error in {func_name} (stopped by user)"
+                                        )
+
+    return wrapper
+
+
+# ============================================================================
+# BLOCK 3: AUTHENTICATION
+# ============================================================================
+
+def _do_login(username, password):
+    """Performs the two-step authentication (IAM → GDD) with the given credentials.
+    Updates global access_token and refresh_token on success.
+    Raises httpx.RequestError or httpx.HTTPStatusError on failure.
+    Must NOT acquire _token_refresh_lock (caller's responsibility).
+    """
+    global access_token, refresh_token
+
+    client = get_httpx_client()
+    client.base_url = IAM_URL
+    response = client.post(
+        API_AUTH_LOGIN_ENDPOINT,
+        json={"username": username, "password": password},
+        timeout=20,
+    )
+    response.raise_for_status()
+    master_token = response.json()["access_token"]
+    user_id = response.json()["userId"]
+
+    client = get_httpx_client()
+    client.base_url = GDD_URL
+    response = client.post(
+        API_AUTH_CONFIG_TOKEN_ENDPOINT,
+        headers={"Authorization": f"Bearer {master_token}"},
+        json={
+            "userId": user_id,
+            "clientId": GDD_APP_ID,
+            "userAgent": (
+                "Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
+                "AppleWebKit/537.36 (KHTML, like Gecko) "
+                "Chrome/137.0.0.0 Safari/537.36"
+            ),
+        },
+        timeout=20,
+    )
+    response.raise_for_status()
+    access_token = response.json()["access_token"]
+    refresh_token = response.json()["refresh_token"]
+
+
+def login():
+    global _stored_username, _stored_password
+
+    user_name = questionary.text("login :", default=DEFAULT_USER_NAME).ask()
+    password = questionary.password("password :", default=DEFAULT_PASSWORD).ask()
+    if not (user_name and password):
+        return "Exit"
+
+    try:
+        _do_login(user_name, password)
+    except httpx.RequestError as exc:
+        print(f"Login Error : {exc}")
+        logging.warning(f"Login Error : {exc}")
+        return "Error"
+    except httpx.HTTPStatusError as exc:
+        print(f"Login Error : {exc.response.status_code} for Url {exc.request.url}")
+        logging.warning(f"Login Error : {exc.response.status_code} for Url {exc.request.url}")
+        return "Error"
+
+    _stored_username = user_name
+    _stored_password = password
+    print()
+    print("Login Success")
+    return "Success"
+
+
+# ============================================================================
+# BLOCK 3B: STARTUP PARAMETERS
+# ============================================================================
+
+def ask_do_filters():
+    """Presents DO_HISTORY_FILTERS_DEFAULT as an editable JSON with validation.
+    Called immediately after login so the user can adjust filters before processing.
+    """
+    default_value = json.dumps(DO_HISTORY_FILTERS_DEFAULT, ensure_ascii=False)
+
+    def validate_json(text):
+        if not text:
+            return "Les filtres ne peuvent pas être vides"
+        try:
+            json.loads(text)
+            return True
+        except json.JSONDecodeError as e:
+            return f"JSON invalide : {e}"
+
+    filters_str = questionary.text(
+        "DO Filters (JSON) :",
+        default=default_value,
+        validate=validate_json,
+    ).ask()
+
+    if filters_str is None:
+        return DO_HISTORY_FILTERS_DEFAULT
+    return json.loads(filters_str)
+
+
+def ask_on_retry_exhausted():
+    """Asks the user what to do when all API retry batches are exhausted."""
+    global on_retry_exhausted
+    choice = questionary.select(
+        "On retry exhausted :",
+        choices=[
+            "Ask (interactive prompt)",
+            "Ignore (return None and continue)",
+            "Abort (stop script)",
+        ],
+    ).ask()
+
+    if choice is None or choice == "Ask (interactive prompt)":
+        on_retry_exhausted = "ask"
+    elif choice == "Ignore (return None and continue)":
+        on_retry_exhausted = "ignore"
+    else:
+        on_retry_exhausted = "abort"
+
+
+def wait_for_scheduled_launch():
+    """Asks the user when to start the processing and waits if needed.
+    Options: Immediately / In X minutes / At HH:MM
+    """
+    choice = questionary.select(
+        "When to start processing ?",
+        choices=["Immediately", "In X minutes", "At HH:MM"],
+    ).ask()
+
+    if choice is None or choice == "Immediately":
+        return
+
+    if choice == "In X minutes":
+        minutes_str = questionary.text(
+            "Number of minutes :",
+            validate=lambda x: x.isdigit() and int(x) > 0,
+        ).ask()
+        if not minutes_str:
+            return
+        target_time = datetime.now() + timedelta(minutes=int(minutes_str))
+
+    else:  # "At HH:MM"
+        time_str = questionary.text(
+            "Start time (HH:MM) :",
+            validate=lambda x: bool(re.match(r'^\d{2}:\d{2}$', x))
+            and 0 <= int(x.split(':')[0]) <= 23
+            and 0 <= int(x.split(':')[1]) <= 59,
+        ).ask()
+        if not time_str:
+            return
+        now = datetime.now()
+        h, m = int(time_str.split(':')[0]), int(time_str.split(':')[1])
+        target_time = now.replace(hour=h, minute=m, second=0, microsecond=0)
+        if target_time <= now:
+            console.print("[yellow]⚠ Specified time is already past. Starting immediately.[/yellow]")
+            return
+
+    print()
+    try:
+        while True:
+            remaining = target_time - datetime.now()
+            if remaining.total_seconds() <= 0:
+                break
+            total_secs = int(remaining.total_seconds())
+            h = total_secs // 3600
+            m = (total_secs % 3600) // 60
+            s = total_secs % 60
+            target_str = target_time.strftime('%H:%M:%S')
+            print(
+                f"\r  Starting in {h:02d}:{m:02d}:{s:02d}... (at {target_str}) — Ctrl+C to cancel  ",
+                end="",
+                flush=True,
+            )
+            sleep(1)
+            while msvcrt.kbhit():
+                msvcrt.getwch()
+        print()
+        console.print("[green]✓ Starting processing.[/green]")
+    except KeyboardInterrupt:
+        print()
+        console.print("[bold red]Launch cancelled by user.[/bold red]")
+        raise SystemExit(0)
+
+
+# ============================================================================
+# BLOCK 4: BUSINESS API CALLS
+# ============================================================================
+
+@api_call_with_retry
+def get_worklist_page(filters, page, page_size):
+    """Fetches one page of the diagnostic order worklist."""
+    client = get_httpx_client()
+    client.base_url = GDD_URL
+    response = client.post(
+        API_DO_WORKLIST_ENDPOINT,
+        headers={"Authorization": f"Bearer {access_token}"},
+        json={
+            "lang": "fr-FR",
+            "filters": filters,
+            "limit": page_size,
+            "page": page,
+            "sort": [],
+        },
+        timeout=API_TIMEOUT,
+    )
+    response.raise_for_status()
+    return response.json()
+
+
+@api_call_with_retry
+def get_request_history(request_id):
+    """Fetches the full audit history for a single request (descending chronological order)."""
+    client = get_httpx_client()
+    client.base_url = GDD_URL
+    response = client.get(
+        API_REQUEST_HISTORY_ENDPOINT,
+        headers={"Authorization": f"Bearer {access_token}"},
+        params={"sortOrder": "DESC", "requestId": request_id},
+        timeout=API_TIMEOUT,
+    )
+    response.raise_for_status()
+    return response.json()
+
+
+# ============================================================================
+# BLOCK 5: REQUEST PROCESSING
+# ============================================================================
+
+def _process_single_request(worklist_request):
+    """Fetches the audit history for one worklist request.
+
+    Returns:
+        Tuple of (request_id, history_data) where history_data is None on
+        persistent API failure (stored as JSON null in the output).
+    """
+    request_id = worklist_request.get("id")
+    thread_local_storage.current_request_context = {"id": request_id}
+    history_data = get_request_history(request_id)
+    return request_id, history_data
+
+
+# ============================================================================
+# BLOCK 6: FILE UTILITIES
+# ============================================================================
+
+def backup_history_file():
+    """Backs up the existing history JSON file before writing a new version."""
+    if os.path.exists(HISTORY_FILE_NAME):
+        old_path = get_old_filename(HISTORY_FILE_NAME, OLD_FILE_SUFFIX)
+        try:
+            shutil.copy2(HISTORY_FILE_NAME, old_path)
+        except Exception as e:
+            logging.warning(f"Could not backup {HISTORY_FILE_NAME}: {e}")
+
+
+# ============================================================================
+# BLOCK 7: MAIN EXECUTION
+# ============================================================================
+
+def main():
+    global global_pbar
+
+    print()
+    login_status = login()
+
+    while login_status == "Error":
+        login_status = login()
+    if login_status == "Exit":
+        return
+
+    print()
+    do_filters = ask_do_filters()
+
+    print()
+    number_of_threads = int(
+        questionary.text(
+            "Number of threads :",
+            default="12",
+            validate=lambda x: x.isdigit() and 0 < int(x) <= MAX_THREADS,
+        ).ask()
+    )
+
+    print()
+    ask_on_retry_exhausted()
+
+    print()
+    wait_for_scheduled_launch()
+
+    # === FETCH WORKLIST (paginated) ===
+    print()
+    start_time = perf_counter()
+
+    with console.status("[bold green]Fetching worklist (page 1)...", spinner="dots"):
+        first_page = get_worklist_page(do_filters, 1, DO_WORKLIST_PAGE_SIZE)
+
+    metadata = first_page.get("metadata", {})
+    total_requests = metadata.get("total", 0)
+    total_pages = metadata.get("pages", 1)
+
+    print(f"{total_requests} requests across {total_pages} pages...")
+    print()
+
+    # === SUBMIT ALL REQUESTS TO THREAD POOL AS PAGES ARRIVE ===
+    # fetching_pbar (position=0): advances as each worklist page is fetched
+    # processing_pbar (position=1): advances as each request history is retrieved
+    all_futures = []
+    all_results = []
+    completed_set = set()
+
+    with ThreadPoolExecutor(max_workers=number_of_threads) as thread_pool:
+
+        with tqdm(
+            total=total_requests,
+            unit="req.",
+            desc=f"{'Fetching requests':<52}",
+            position=0,
+            leave=True,
+            bar_format=custom_bar_format,
+        ) as fetching_pbar:
+
+            with tqdm(
+                total=total_requests,
+                unit="req.",
+                desc=f"{'Fetching history':<52}",
+                position=1,
+                leave=True,
+                bar_format=custom_bar_format,
+            ) as processing_pbar:
+
+                global_pbar = processing_pbar
+
+                def _drain_completed():
+                    for f in list(all_futures):
+                        if f not in completed_set and f.done():
+                            try:
+                                result = f.result()
+                                all_results.append(result)
+                            except Exception as exc:
+                                logging.critical(
+                                    f"Critical exception in history worker: {exc}", exc_info=True
+                                )
+                                print(f"\nCRITICAL ERROR in history processing thread:")
+                                print(f"Exception: {exc}")
+                                traceback.print_exc()
+                                thread_pool.shutdown(wait=False, cancel_futures=True)
+                                raise
+                            finally:
+                                completed_set.add(f)
+                                with _global_pbar_lock:
+                                    if global_pbar:
+                                        global_pbar.update(1)
+
+                # Submit first page requests
+                first_page_data = first_page.get("data", [])
+                for worklist_request in first_page_data:
+                    f = thread_pool.submit(
+                        run_with_context,
+                        _process_single_request,
+                        {"id": worklist_request.get("id")},
+                        worklist_request,
+                    )
+                    all_futures.append(f)
+                fetching_pbar.update(len(first_page_data))
+
+                # Fetch and submit remaining pages; drain completed futures after each page
+                for page_num in range(2, total_pages + 1):
+                    page_data = get_worklist_page(do_filters, page_num, DO_WORKLIST_PAGE_SIZE)
+                    page_requests = page_data.get("data", [])
+                    for worklist_request in page_requests:
+                        f = thread_pool.submit(
+                            run_with_context,
+                            _process_single_request,
+                            {"id": worklist_request.get("id")},
+                            worklist_request,
+                        )
+                        all_futures.append(f)
+                    fetching_pbar.update(len(page_requests))
+                    _drain_completed()
+
+                # Drain remaining futures not yet collected
+                remaining = [f for f in all_futures if f not in completed_set]
+                for future in as_completed(remaining):
+                    try:
+                        result = future.result()
+                        all_results.append(result)
+                    except Exception as exc:
+                        logging.critical(
+                            f"Critical exception in history worker: {exc}", exc_info=True
+                        )
+                        print(f"\nCRITICAL ERROR in history processing thread:")
+                        print(f"Exception: {exc}")
+                        traceback.print_exc()
+                        thread_pool.shutdown(wait=False, cancel_futures=True)
+                        raise
+                    finally:
+                        completed_set.add(future)
+                        with _global_pbar_lock:
+                            if global_pbar:
+                                global_pbar.update(1)
+
+    # === BUILD OUTPUT DICT ===
+    print()
+    print()
+    print("Building history output...")
+
+    output_dict = dict(
+        sorted(
+            ((request_id, history_data) for request_id, history_data in all_results),
+            key=lambda x: x[0],
+        )
+    )
+
+    # === BACKUP & WRITE ===
+    try:
+        backup_history_file()
+
+        print("Writing file...")
+        with open(HISTORY_FILE_NAME, 'w', encoding='utf-8') as f_json:
+            json.dump(output_dict, f_json, indent=4, ensure_ascii=False)
+
+        console.print("[green]✓ History saved to JSON file[/green]")
+
+    except IOError as io_err:
+        logging.critical(f"Error while writing JSON file : {io_err}")
+        print(f"Error while writing JSON file : {io_err}")
+    except Exception as exc:
+        logging.critical(f"Error during final processing : {exc}")
+        print(f"Error during final processing : {exc}")
+
+    print()
+    print(f"Elapsed time : {str(timedelta(seconds=perf_counter() - start_time))}")
+
+
+if __name__ == '__main__':
+
+    try:
+        main()
+    except Exception as e:
+        logging.critical(f"Script terminated prematurely due to an exception: {e}", exc_info=True)
+        print(f"Script stopped due to an error : {e}")
+    finally:
+        print('\n')
+        input("Press Enter to exit...")