dune-weaver/modules/core/pattern_manager.py

import os
from zoneinfo import ZoneInfo
import threading
import time
import random
import logging
from datetime import datetime, time as datetime_time
from tqdm import tqdm
from modules.connection import connection_manager
from modules.core.state import state
from math import pi
import asyncio
import json
# Import for legacy support, but we'll use LED interface through state
from modules.led.led_controller import effect_playing, effect_idle
from modules.led.idle_timeout_manager import idle_timeout_manager
import queue
from dataclasses import dataclass
from typing import Optional, Callable

# Configure logging
logger = logging.getLogger(__name__)

# Global state
THETA_RHO_DIR = './patterns'
os.makedirs(THETA_RHO_DIR, exist_ok=True)

# Execution time log file (JSON Lines format - one JSON object per line)
EXECUTION_LOG_FILE = './execution_times.jsonl'

def log_execution_time(pattern_name: str, table_type: str, speed: int, actual_time: float,
                       total_coordinates: int, was_completed: bool):
    """Log pattern execution time to JSON Lines file for analysis.

    Args:
        pattern_name: Name of the pattern file
        table_type: Type of table (e.g., 'dune_weaver', 'dune_weaver_mini')
        speed: Speed setting used (0-255)
        actual_time: Actual execution time in seconds (excluding pauses)
        total_coordinates: Total number of coordinates in the pattern
        was_completed: Whether the pattern completed normally (not stopped/skipped)
    """
    # Format time as HH:MM:SS
    hours, remainder = divmod(int(actual_time), 3600)
    minutes, seconds = divmod(remainder, 60)
    time_formatted = f"{hours:02d}:{minutes:02d}:{seconds:02d}"

    log_entry = {
        "timestamp": datetime.now().isoformat(),
        "pattern_name": pattern_name,
        "table_type": table_type or "unknown",
        "speed": speed,
        "actual_time_seconds": round(actual_time, 2),
        "actual_time_formatted": time_formatted,
        "total_coordinates": total_coordinates,
        "completed": was_completed
    }

    try:
        with open(EXECUTION_LOG_FILE, 'a') as f:
            f.write(json.dumps(log_entry) + '\n')

        logger.info(f"Execution time logged: {pattern_name} - {time_formatted} (speed: {speed}, table: {table_type})")
    except Exception as e:
        logger.error(f"Failed to log execution time: {e}")

def get_last_completed_execution_time(pattern_name: str, speed: float) -> Optional[dict]:
    """Get the last completed execution time for a pattern at a specific speed.

    Args:
        pattern_name: Name of the pattern file (e.g., 'circle.thr')
        speed: Speed setting to match

    Returns:
        Dict with execution time info if found, None otherwise.
        Format: {"actual_time_seconds": float, "actual_time_formatted": str, "timestamp": str}
    """
    if not os.path.exists(EXECUTION_LOG_FILE):
        return None

    try:
        matching_entry = None
        with open(EXECUTION_LOG_FILE, 'r') as f:
            for line in f:
                line = line.strip()
                if not line:
                    continue
                try:
                    entry = json.loads(line)
                    # Only consider fully completed patterns (100% finished)
                    if (entry.get('completed', False) and
                        entry.get('pattern_name') == pattern_name and
                        entry.get('speed') == speed):
                        # Keep the most recent match (last one in file)
                        matching_entry = entry
                except json.JSONDecodeError:
                    continue

        if matching_entry:
            return {
                "actual_time_seconds": matching_entry.get("actual_time_seconds"),
                "actual_time_formatted": matching_entry.get("actual_time_formatted"),
                "timestamp": matching_entry.get("timestamp")
            }
    except Exception as e:
        logger.error(f"Error reading execution time log: {e}")

    return None

# Create an asyncio Event for pause/resume
pause_event = asyncio.Event()
pause_event.set()  # Initially not paused

# Create an asyncio Lock for pattern execution
pattern_lock = asyncio.Lock()

def get_pattern_lock():
    """Get the pattern lock for external modules to check lock state."""
    return pattern_lock

def get_pause_event():
    """Get the pause event for external modules."""
    return pause_event

# Progress update task
progress_update_task = None

# Cache timezone at module level - read once per session (cleared when user changes timezone)
_cached_timezone = None
_cached_zoneinfo = None

def _get_timezone():
    """Get and cache the timezone for Still Sands. Uses user-selected timezone if set, otherwise system timezone."""
    global _cached_timezone, _cached_zoneinfo

    if _cached_timezone is not None:
        return _cached_zoneinfo

    user_tz = 'UTC'  # Default fallback

    # First, check if user has selected a specific timezone in settings
    if state.scheduled_pause_timezone:
        user_tz = state.scheduled_pause_timezone
        logger.info(f"Still Sands using timezone: {user_tz} (user-selected)")
    else:
        # Fall back to system timezone detection
        try:
            if os.path.exists('/etc/host-timezone'):
                with open('/etc/host-timezone', 'r') as f:
                    user_tz = f.read().strip()
                    logger.info(f"Still Sands using timezone: {user_tz} (from host system)")
            # Fallback to /etc/timezone if host-timezone doesn't exist
            elif os.path.exists('/etc/timezone'):
                with open('/etc/timezone', 'r') as f:
                    user_tz = f.read().strip()
                    logger.info(f"Still Sands using timezone: {user_tz} (from container)")
            # Fallback to TZ environment variable
            elif os.environ.get('TZ'):
                user_tz = os.environ.get('TZ')
                logger.info(f"Still Sands using timezone: {user_tz} (from environment)")
            else:
                logger.info("Still Sands using timezone: UTC (system default)")
        except Exception as e:
            logger.debug(f"Could not read timezone: {e}")

    # Cache the timezone
    _cached_timezone = user_tz
    try:
        _cached_zoneinfo = ZoneInfo(user_tz)
    except Exception as e:
        logger.warning(f"Invalid timezone '{user_tz}', falling back to system time: {e}")
        _cached_zoneinfo = None

    return _cached_zoneinfo

def is_in_scheduled_pause_period():
    """Check if current time falls within any scheduled pause period."""
    if not state.scheduled_pause_enabled or not state.scheduled_pause_time_slots:
        return False

    # Get cached timezone (user-selected or system default)
    tz_info = _get_timezone()

    try:
        # Get current time in user's timezone
        if tz_info:
            now = datetime.now(tz_info)
        else:
            now = datetime.now()
    except Exception as e:
        logger.warning(f"Error getting current time: {e}")
        now = datetime.now()

    current_time = now.time()
    current_weekday = now.strftime("%A").lower()  # monday, tuesday, etc.

    for slot in state.scheduled_pause_time_slots:
        # Parse start and end times
        try:
            start_time = datetime_time.fromisoformat(slot['start_time'])
            end_time = datetime_time.fromisoformat(slot['end_time'])
        except (ValueError, KeyError):
            logger.warning(f"Invalid time format in scheduled pause slot: {slot}")
            continue

        # Check if this slot applies to today
        slot_applies_today = False
        days_setting = slot.get('days', 'daily')

        if days_setting == 'daily':
            slot_applies_today = True
        elif days_setting == 'weekdays':
            slot_applies_today = current_weekday in ['monday', 'tuesday', 'wednesday', 'thursday', 'friday']
        elif days_setting == 'weekends':
            slot_applies_today = current_weekday in ['saturday', 'sunday']
        elif days_setting == 'custom':
            custom_days = slot.get('custom_days', [])
            slot_applies_today = current_weekday in custom_days

        if not slot_applies_today:
            continue

        # Check if current time is within the pause period
        if start_time <= end_time:
            # Normal case: start and end are on the same day
            if start_time <= current_time <= end_time:
                return True
        else:
            # Time spans midnight: start is before midnight, end is after midnight
            if current_time >= start_time or current_time <= end_time:
                return True

    return False


async def check_table_is_idle() -> bool:
    """
    Check if the table is currently idle by querying actual machine status.
    Returns True if idle, False if playing/moving.

    This checks the real machine state rather than relying on state variables,
    making it more reliable for detecting when table is truly idle.
    """
    # Use the connection_manager's is_machine_idle() function
    # Run it in a thread since it's a synchronous function
    return await asyncio.to_thread(connection_manager.is_machine_idle)


def start_idle_led_timeout():
    """
    Start the idle LED timeout if enabled.
    Should be called whenever the idle effect is activated.
    """
    if not state.dw_led_idle_timeout_enabled:
        logger.debug("Idle LED timeout not enabled")
        return

    timeout_minutes = state.dw_led_idle_timeout_minutes
    if timeout_minutes <= 0:
        logger.debug("Idle LED timeout not configured (timeout <= 0)")
        return

    logger.debug(f"Starting idle LED timeout: {timeout_minutes} minutes")
    idle_timeout_manager.start_idle_timeout(
        timeout_minutes=timeout_minutes,
        state=state,
        check_idle_callback=check_table_is_idle
    )


# Motion Control Thread Infrastructure
@dataclass
class MotionCommand:
    """Represents a motion command for the motion control thread."""
    command_type: str  # 'move', 'stop', 'pause', 'resume', 'shutdown'
    theta: Optional[float] = None
    rho: Optional[float] = None
    speed: Optional[float] = None
    callback: Optional[Callable] = None
    future: Optional[asyncio.Future] = None

class MotionControlThread:
    """Dedicated thread for hardware motion control operations."""

    def __init__(self):
        self.command_queue = queue.Queue()
        self.thread = None
        self.running = False
        self.paused = False

    def start(self):
        """Start the motion control thread."""
        if self.thread and self.thread.is_alive():
            return

        self.running = True
        self.thread = threading.Thread(target=self._motion_loop, daemon=True)
        self.thread.start()
        logger.info("Motion control thread started")

    def stop(self):
        """Stop the motion control thread."""
        if not self.running:
            return

        self.running = False
        # Send shutdown command
        self.command_queue.put(MotionCommand('shutdown'))

        if self.thread and self.thread.is_alive():
            self.thread.join(timeout=5.0)
        logger.info("Motion control thread stopped")

    def _motion_loop(self):
        """Main loop for the motion control thread."""
        logger.info("Motion control thread loop started")

        while self.running:
            try:
                # Get command with timeout to allow periodic checks
                command = self.command_queue.get(timeout=1.0)

                if command.command_type == 'shutdown':
                    break

                elif command.command_type == 'move':
                    self._execute_move(command)

                elif command.command_type == 'pause':
                    self.paused = True

                elif command.command_type == 'resume':
                    self.paused = False

                elif command.command_type == 'stop':
                    # Clear any pending commands
                    while not self.command_queue.empty():
                        try:
                            self.command_queue.get_nowait()
                        except queue.Empty:
                            break

                self.command_queue.task_done()

            except queue.Empty:
                # Timeout - continue loop for shutdown check
                continue
            except Exception as e:
                logger.error(f"Error in motion control thread: {e}")

        logger.info("Motion control thread loop ended")

    def _execute_move(self, command: MotionCommand):
        """Execute a move command in the motion thread."""
        try:
            # Wait if paused
            while self.paused and self.running:
                time.sleep(0.1)

            if not self.running:
                return

            # Execute the actual motion using sync version
            self._move_polar_sync(command.theta, command.rho, command.speed)

            # Signal completion if future provided
            if command.future and not command.future.done():
                command.future.get_loop().call_soon_threadsafe(
                    command.future.set_result, None
                )

        except Exception as e:
            logger.error(f"Error executing move command: {e}")
            if command.future and not command.future.done():
                command.future.get_loop().call_soon_threadsafe(
                    command.future.set_exception, e
                )

    def _move_polar_sync(self, theta: float, rho: float, speed: Optional[float] = None):
        """Synchronous version of move_polar for use in motion thread."""
        # This is the original sync logic but running in dedicated thread
        if state.table_type == 'dune_weaver_mini':
            x_scaling_factor = 2
            y_scaling_factor = 3.7
        else:
            x_scaling_factor = 2
            y_scaling_factor = 5

        delta_theta = theta - state.current_theta
        delta_rho = rho - state.current_rho
        x_increment = delta_theta * 100 / (2 * pi * x_scaling_factor)
        y_increment = delta_rho * 100 / y_scaling_factor

        x_total_steps = state.x_steps_per_mm * (100/x_scaling_factor)
        y_total_steps = state.y_steps_per_mm * (100/y_scaling_factor)

        offset = x_increment * (x_total_steps * x_scaling_factor / (state.gear_ratio * y_total_steps * y_scaling_factor))

        if state.table_type == 'dune_weaver_mini' or state.y_steps_per_mm == 546:
            y_increment -= offset
        else:
            y_increment += offset

        new_x_abs = state.machine_x + x_increment
        new_y_abs = state.machine_y + y_increment

        # Use provided speed or fall back to state.speed
        actual_speed = speed if speed is not None else state.speed

        # Call sync version of send_grbl_coordinates in this thread
        self._send_grbl_coordinates_sync(round(new_x_abs, 3), round(new_y_abs, 3), actual_speed)

        # Update state
        state.current_theta = theta
        state.current_rho = rho
        state.machine_x = new_x_abs
        state.machine_y = new_y_abs

    def _send_grbl_coordinates_sync(self, x: float, y: float, speed: int = 600, timeout: int = 2, home: bool = False):
        """Synchronous version of send_grbl_coordinates for motion thread."""
        logger.debug(f"Motion thread sending G-code: X{x} Y{y} at F{speed}")

        # Track overall attempt time
        overall_start_time = time.time()

        while True:
            try:
                gcode = f"$J=G91 G21 Y{y} F{speed}" if home else f"G1 X{x} Y{y} F{speed}"
                state.conn.send(gcode + "\n")
                logger.debug(f"Motion thread sent command: {gcode}")

                start_time = time.time()
                while True:
                    response = state.conn.readline()
                    logger.debug(f"Motion thread response: {response}")
                    if response.lower() == "ok":
                        logger.debug("Motion thread: Command execution confirmed.")
                        return

            except Exception as e:
                error_str = str(e)
                logger.warning(f"Motion thread error sending command: {error_str}")

                # Immediately return for device not configured errors
                if "Device not configured" in error_str or "Errno 6" in error_str:
                    logger.error(f"Motion thread: Device configuration error detected: {error_str}")
                    state.stop_requested = True
                    state.conn = None
                    state.is_connected = False
                    logger.info("Connection marked as disconnected due to device error")
                    return False

            logger.warning(f"Motion thread: No 'ok' received for X{x} Y{y}, speed {speed}. Retrying...")
            time.sleep(0.1)

# Global motion control thread instance
motion_controller = MotionControlThread()

async def cleanup_pattern_manager():
    """Clean up pattern manager resources"""
    global progress_update_task, pattern_lock, pause_event

    try:
        # Signal stop to allow any running pattern to exit gracefully
        state.stop_requested = True

        # Stop motion control thread
        motion_controller.stop()

        # Cancel progress update task if running
        if progress_update_task and not progress_update_task.done():
            try:
                progress_update_task.cancel()
                # Wait for task to actually cancel
                try:
                    await progress_update_task
                except asyncio.CancelledError:
                    pass
            except Exception as e:
                logger.error(f"Error cancelling progress update task: {e}")

        # Clean up pattern lock - wait for it to be released naturally, don't force release
        # Force releasing an asyncio.Lock can corrupt internal state if held by another coroutine
        if pattern_lock and pattern_lock.locked():
            logger.info("Pattern lock is held, waiting for release (max 5s)...")
            try:
                # Wait with timeout for the lock to become available
                async with asyncio.timeout(5.0):
                    async with pattern_lock:
                        pass  # Lock acquired means previous holder released it
                logger.info("Pattern lock released normally")
            except asyncio.TimeoutError:
                logger.warning("Timed out waiting for pattern lock - creating fresh lock")
            except Exception as e:
                logger.error(f"Error waiting for pattern lock: {e}")

        # Clean up pause event - wake up any waiting tasks, then create fresh event
        if pause_event:
            try:
                pause_event.set()  # Wake up any waiting tasks
            except Exception as e:
                logger.error(f"Error setting pause event: {e}")

        # Clean up pause condition from state
        if state.pause_condition:
            try:
                with state.pause_condition:
                    state.pause_condition.notify_all()
                state.pause_condition = threading.Condition()
            except Exception as e:
                logger.error(f"Error cleaning up pause condition: {e}")

        # Clear all state variables
        state.current_playing_file = None
        state.execution_progress = 0
        state.is_running = False
        state.pause_requested = False
        state.stop_requested = True
        state.is_clearing = False

        # Reset machine position
        await connection_manager.update_machine_position()

        logger.info("Pattern manager resources cleaned up")

    except Exception as e:
        logger.error(f"Error during pattern manager cleanup: {e}")
    finally:
        # Reset to fresh instances instead of None to allow continued operation
        progress_update_task = None
        pattern_lock = asyncio.Lock()  # Fresh lock instead of None
        pause_event = asyncio.Event()  # Fresh event instead of None
        pause_event.set()  # Initially not paused

def list_theta_rho_files():
    files = []
    for root, dirs, filenames in os.walk(THETA_RHO_DIR):
        # Skip cached_images directories to avoid scanning thousands of WebP files
        if 'cached_images' in dirs:
            dirs.remove('cached_images')

        # Filter .thr files during traversal for better performance
        thr_files = [f for f in filenames if f.endswith('.thr')]

        for file in thr_files:
            relative_path = os.path.relpath(os.path.join(root, file), THETA_RHO_DIR)
            # Normalize path separators to always use forward slashes for consistency across platforms
            relative_path = relative_path.replace(os.sep, '/')
            files.append(relative_path)

    logger.debug(f"Found {len(files)} theta-rho files")
    return files

def parse_theta_rho_file(file_path):
    """Parse a theta-rho file and return a list of (theta, rho) pairs."""
    coordinates = []
    try:
        logger.debug(f"Parsing theta-rho file: {file_path}")
        with open(file_path, 'r', encoding='utf-8') as file:
            for line in file:
                line = line.strip()
                if not line or line.startswith("#"):
                    continue
                try:
                    theta, rho = map(float, line.split())
                    coordinates.append((theta, rho))
                except ValueError:
                    logger.warning(f"Skipping invalid line: {line}")
                    continue
    except Exception as e:
        logger.error(f"Error reading file: {e}")
        return coordinates

        logger.debug(f"Parsed {len(coordinates)} coordinates from {file_path}")
    return coordinates

def get_first_rho_from_cache(file_path, cache_data=None):
    """Get the first rho value from cached metadata, falling back to file parsing if needed.

    Args:
        file_path: Path to the pattern file
        cache_data: Optional pre-loaded cache data dict to avoid repeated disk I/O
    """
    try:
        # Import cache_manager locally to avoid circular import
        from modules.core import cache_manager

        # Try to get from metadata cache first
        # Use relative path from THETA_RHO_DIR to match cache keys (which include subdirectories)
        file_name = os.path.relpath(file_path, THETA_RHO_DIR)

        # Use provided cache_data if available, otherwise load from disk
        if cache_data is not None:
            # Extract metadata directly from provided cache
            data_section = cache_data.get('data', {})
            if file_name in data_section:
                cached_entry = data_section[file_name]
                metadata = cached_entry.get('metadata')
                # When cache_data is provided, trust it without checking mtime
                # This significantly speeds up bulk operations (playlists with 1000+ patterns)
                # by avoiding 1000+ os.path.getmtime() calls on slow storage (e.g., Pi SD cards)
                if metadata and 'first_coordinate' in metadata:
                    return metadata['first_coordinate']['y']
        else:
            # Fall back to loading cache from disk (original behavior)
            metadata = cache_manager.get_pattern_metadata(file_name)
            if metadata and 'first_coordinate' in metadata:
                # In the cache, 'x' is theta and 'y' is rho
                return metadata['first_coordinate']['y']

        # Fallback to parsing the file if not in cache
        logger.debug(f"Metadata not cached for {file_name}, parsing file")
        coordinates = parse_theta_rho_file(file_path)
        if coordinates:
            return coordinates[0][1]  # Return rho value

        return None
    except Exception as e:
        logger.warning(f"Error getting first rho from cache for {file_path}: {str(e)}")
        return None

def get_clear_pattern_file(clear_pattern_mode, path=None, cache_data=None):
    """Return a .thr file path based on pattern_name and table type.

    Args:
        clear_pattern_mode: The clear pattern mode to use
        path: Optional path to the pattern file for adaptive mode
        cache_data: Optional pre-loaded cache data dict to avoid repeated disk I/O
    """
    if not clear_pattern_mode or clear_pattern_mode == 'none':
        return

    # Define patterns for each table type
    clear_patterns = {
        'dune_weaver': {
            'clear_from_out': './patterns/clear_from_out.thr',
            'clear_from_in': './patterns/clear_from_in.thr',
            'clear_sideway': './patterns/clear_sideway.thr'
        },
        'dune_weaver_mini': {
            'clear_from_out': './patterns/clear_from_out_mini.thr',
            'clear_from_in': './patterns/clear_from_in_mini.thr',
            'clear_sideway': './patterns/clear_sideway_mini.thr'
        },
        'dune_weaver_mini_pro': {
            'clear_from_out': './patterns/clear_from_out_mini.thr',
            'clear_from_in': './patterns/clear_from_in_mini.thr',
            'clear_sideway': './patterns/clear_sideway_mini.thr'
        },
        'dune_weaver_pro': {
            'clear_from_out': './patterns/clear_from_out_pro.thr',
            'clear_from_out_Ultra': './patterns/clear_from_out_Ultra.thr',
            'clear_from_in': './patterns/clear_from_in_pro.thr',
            'clear_from_in_Ultra': './patterns/clear_from_in_Ultra.thr',
            'clear_sideway': './patterns/clear_sideway_pro.thr'
        }
    }

    # Get patterns for current table type, fallback to standard patterns if type not found
    table_patterns = clear_patterns.get(state.table_type, clear_patterns['dune_weaver'])

    # Check for custom patterns first
    if state.custom_clear_from_out and clear_pattern_mode in ['clear_from_out', 'adaptive']:
        if clear_pattern_mode == 'adaptive':
            # For adaptive mode, use cached metadata to check first rho
            if path:
                first_rho = get_first_rho_from_cache(path, cache_data)
                if first_rho is not None and first_rho < 0.5:
                    # Use custom clear_from_out if set
                    custom_path = os.path.join('./patterns', state.custom_clear_from_out)
                    if os.path.exists(custom_path):
                        logger.debug(f"Using custom clear_from_out: {custom_path}")
                        return custom_path
        elif clear_pattern_mode == 'clear_from_out':
            custom_path = os.path.join('./patterns', state.custom_clear_from_out)
            if os.path.exists(custom_path):
                logger.debug(f"Using custom clear_from_out: {custom_path}")
                return custom_path

    if state.custom_clear_from_in and clear_pattern_mode in ['clear_from_in', 'adaptive']:
        if clear_pattern_mode == 'adaptive':
            # For adaptive mode, use cached metadata to check first rho
            if path:
                first_rho = get_first_rho_from_cache(path, cache_data)
                if first_rho is not None and first_rho >= 0.5:
                    # Use custom clear_from_in if set
                    custom_path = os.path.join('./patterns', state.custom_clear_from_in)
                    if os.path.exists(custom_path):
                        logger.debug(f"Using custom clear_from_in: {custom_path}")
                        return custom_path
        elif clear_pattern_mode == 'clear_from_in':
            custom_path = os.path.join('./patterns', state.custom_clear_from_in)
            if os.path.exists(custom_path):
                logger.debug(f"Using custom clear_from_in: {custom_path}")
                return custom_path

    logger.debug(f"Clear pattern mode: {clear_pattern_mode} for table type: {state.table_type}")

    if clear_pattern_mode == "random":
        return random.choice(list(table_patterns.values()))

    if clear_pattern_mode == 'adaptive':
        if not path:
            logger.warning("No path provided for adaptive clear pattern")
            return random.choice(list(table_patterns.values()))

        # Use cached metadata to get first rho value
        first_rho = get_first_rho_from_cache(path, cache_data)
        if first_rho is None:
            logger.warning("Could not determine first rho value for adaptive clear pattern")
            return random.choice(list(table_patterns.values()))

        if first_rho < 0.5:
            return table_patterns['clear_from_out']
        else:
            return table_patterns['clear_from_in']
    else:
        if clear_pattern_mode not in table_patterns:
            return False
        return table_patterns[clear_pattern_mode]

def is_clear_pattern(file_path):
    """Check if a file path is a clear pattern file."""
    # Get all possible clear pattern files for all table types
    clear_patterns = []
    for table_type in ['dune_weaver', 'dune_weaver_mini', 'dune_weaver_pro']:
        clear_patterns.extend([
            f'./patterns/clear_from_out{("_" + table_type.split("_")[-1]) if table_type != "dune_weaver" else ""}.thr',
            f'./patterns/clear_from_in{("_" + table_type.split("_")[-1]) if table_type != "dune_weaver" else ""}.thr',
            f'./patterns/clear_sideway{("_" + table_type.split("_")[-1]) if table_type != "dune_weaver" else ""}.thr'
        ])
    
    # Normalize paths for comparison
    normalized_path = os.path.normpath(file_path)
    normalized_clear_patterns = [os.path.normpath(p) for p in clear_patterns]
    
    # Check if the file path matches any clear pattern path
    return normalized_path in normalized_clear_patterns

async def run_theta_rho_file(file_path, is_playlist=False):
    """Run a theta-rho file by sending data in optimized batches with tqdm ETA tracking."""
    if pattern_lock.locked():
        logger.warning("Another pattern is already running. Cannot start a new one.")
        return

    async with pattern_lock:  # This ensures only one pattern can run at a time
        # Start progress update task only if not part of a playlist
        global progress_update_task
        if not is_playlist and not progress_update_task:
            progress_update_task = asyncio.create_task(broadcast_progress())
        
        coordinates = parse_theta_rho_file(file_path)
        total_coordinates = len(coordinates)

        if total_coordinates < 2:
            logger.warning("Not enough coordinates for interpolation")
            if not is_playlist:
                state.current_playing_file = None
                state.execution_progress = None
            return

        # Determine if this is a clearing pattern
        is_clear_file = is_clear_pattern(file_path)
        
        if is_clear_file:
            initial_speed = state.clear_pattern_speed if state.clear_pattern_speed is not None else state.speed
            logger.info(f"Running clearing pattern at initial speed {initial_speed}")
        else:
            logger.info(f"Running normal pattern at initial speed {state.speed}")

        state.execution_progress = (0, total_coordinates, None, 0)

        # stop actions without resetting the playlist, and don't wait for lock (we already have it)
        await stop_actions(clear_playlist=False, wait_for_lock=False)

        state.current_playing_file = file_path
        state.stop_requested = False

        # Reset LED idle timeout activity time when pattern starts
        import time as time_module
        state.dw_led_last_activity_time = time_module.time()

        logger.info(f"Starting pattern execution: {file_path}")
        logger.info(f"t: {state.current_theta}, r: {state.current_rho}")
        await reset_theta()

        start_time = time.time()
        total_pause_time = 0  # Track total time spent paused (manual + scheduled)
        if state.led_controller:
            logger.info(f"Setting LED to playing effect: {state.dw_led_playing_effect}")
            await state.led_controller.effect_playing_async(state.dw_led_playing_effect)
            # Cancel idle timeout when playing starts
            idle_timeout_manager.cancel_timeout()

        with tqdm(
            total=total_coordinates,
            unit="coords",
            desc=f"Executing Pattern {file_path}",
            dynamic_ncols=True,
            disable=False,
            mininterval=1.0
        ) as pbar:
            for i, coordinate in enumerate(coordinates):
                theta, rho = coordinate
                if state.stop_requested:
                    logger.info("Execution stopped by user")
                    if state.led_controller:
                        await state.led_controller.effect_idle_async(state.dw_led_idle_effect)
                        start_idle_led_timeout()
                    break

                if state.skip_requested:
                    logger.info("Skipping pattern...")
                    await connection_manager.check_idle_async()
                    if state.led_controller:
                        await state.led_controller.effect_idle_async(state.dw_led_idle_effect)
                        start_idle_led_timeout()
                    break

                # Wait for resume if paused (manual or scheduled)
                manual_pause = state.pause_requested
                # Only check scheduled pause during pattern if "finish pattern first" is NOT enabled
                scheduled_pause = is_in_scheduled_pause_period() if not state.scheduled_pause_finish_pattern else False

                if manual_pause or scheduled_pause:
                    pause_start = time.time()  # Track when pause started
                    if manual_pause and scheduled_pause:
                        logger.info("Execution paused (manual + scheduled pause active)...")
                    elif manual_pause:
                        logger.info("Execution paused (manual)...")
                    else:
                        logger.info("Execution paused (scheduled pause period)...")
                        # Turn off LED controller if scheduled pause and control_wled is enabled
                        if state.scheduled_pause_control_wled and state.led_controller:
                            logger.info("Turning off LED lights during Still Sands period")
                            await state.led_controller.set_power_async(0)

                    # Only show idle effect if NOT in scheduled pause with LED control
                    # (manual pause always shows idle effect)
                    if state.led_controller and not (scheduled_pause and state.scheduled_pause_control_wled):
                        await state.led_controller.effect_idle_async(state.dw_led_idle_effect)
                        start_idle_led_timeout()

                    # Remember if we turned off LED controller for scheduled pause
                    wled_was_off_for_scheduled = scheduled_pause and state.scheduled_pause_control_wled and not manual_pause

                    # Wait until both manual pause is released AND we're outside scheduled pause period
                    while state.pause_requested or is_in_scheduled_pause_period():
                        if state.pause_requested:
                            # For manual pause, wait directly on the event for immediate response
                            # The while loop re-checks state after wake to handle rapid pause/resume
                            await pause_event.wait()
                        else:
                            # For scheduled pause only, check periodically
                            await asyncio.sleep(1)

                    total_pause_time += time.time() - pause_start  # Add pause duration
                    logger.info("Execution resumed...")
                    if state.led_controller:
                        # Turn LED controller back on if it was turned off for scheduled pause
                        if wled_was_off_for_scheduled:
                            logger.info("Turning LED lights back on as Still Sands period ended")
                            await state.led_controller.set_power_async(1)
                            # CRITICAL: Give LED controller time to fully power on before sending more commands
                            # Without this delay, rapid-fire requests can crash controllers on resource-constrained Pis
                            await asyncio.sleep(0.5)
                        await state.led_controller.effect_playing_async(state.dw_led_playing_effect)
                        # Cancel idle timeout when resuming from pause
                        idle_timeout_manager.cancel_timeout()

                # Dynamically determine the speed for each movement
                # Use clear_pattern_speed if it's set and this is a clear file, otherwise use state.speed
                if is_clear_file and state.clear_pattern_speed is not None:
                    current_speed = state.clear_pattern_speed
                else:
                    current_speed = state.speed
                    
                await move_polar(theta, rho, current_speed)
                
                # Update progress for all coordinates including the first one
                pbar.update(1)
                elapsed_time = time.time() - start_time
                estimated_remaining_time = (total_coordinates - (i + 1)) / pbar.format_dict['rate'] if pbar.format_dict['rate'] and total_coordinates else 0
                state.execution_progress = (i + 1, total_coordinates, estimated_remaining_time, elapsed_time)
                
                # Add a small delay to allow other async operations
                await asyncio.sleep(0.001)

        # Update progress one last time to show 100%
        elapsed_time = time.time() - start_time
        actual_execution_time = elapsed_time - total_pause_time
        state.execution_progress = (total_coordinates, total_coordinates, 0, elapsed_time)
        # Give WebSocket a chance to send the final update
        await asyncio.sleep(0.1)

        # Log execution time (only for completed patterns, not stopped/skipped)
        was_completed = not state.stop_requested and not state.skip_requested
        pattern_name = os.path.basename(file_path)
        effective_speed = state.clear_pattern_speed if (is_clear_file and state.clear_pattern_speed is not None) else state.speed
        log_execution_time(
            pattern_name=pattern_name,
            table_type=state.table_type,
            speed=effective_speed,
            actual_time=actual_execution_time,
            total_coordinates=total_coordinates,
            was_completed=was_completed
        )

        if not state.conn:
            logger.error("Device is not connected. Stopping pattern execution.")
            return
            
        await connection_manager.check_idle_async()
        
        # Set LED back to idle when pattern completes normally (not stopped early)
        if state.led_controller and not state.stop_requested:
            logger.info(f"Setting LED to idle effect: {state.dw_led_idle_effect}")
            await state.led_controller.effect_idle_async(state.dw_led_idle_effect)
            start_idle_led_timeout()
            logger.debug("LED effect set to idle after pattern completion")

        # Only clear state if not part of a playlist
        if not is_playlist:
            state.current_playing_file = None
            state.execution_progress = None
            logger.info("Pattern execution completed and state cleared")
        else:
            logger.info("Pattern execution completed, maintaining state for playlist")
        
        # Only cancel progress update task if not part of a playlist
        if not is_playlist and progress_update_task:
            progress_update_task.cancel()
            try:
                await progress_update_task
            except asyncio.CancelledError:
                pass
            progress_update_task = None
            

async def run_theta_rho_files(file_paths, pause_time=0, clear_pattern=None, run_mode="single", shuffle=False):
    """Run multiple .thr files in sequence with options."""
    state.stop_requested = False

    # Reset LED idle timeout activity time when playlist starts
    import time as time_module
    state.dw_led_last_activity_time = time_module.time()

    # Set initial playlist state
    state.playlist_mode = run_mode
    state.current_playlist_index = 0
    # Start progress update task for the playlist
    global progress_update_task
    if not progress_update_task:
        progress_update_task = asyncio.create_task(broadcast_progress())
    
    
    if shuffle:
        random.shuffle(file_paths)
        logger.info("Playlist shuffled")

    try:
        while True:
            # Load metadata cache once for all patterns (significant performance improvement)
            # This avoids reading the cache file from disk for every pattern
            cache_data = None
            if clear_pattern and clear_pattern in ['adaptive', 'clear_from_in', 'clear_from_out']:
                from modules.core import cache_manager
                cache_data = cache_manager.load_metadata_cache()
                logger.info(f"Loaded metadata cache for {len(cache_data.get('data', {}))} patterns")

            # Construct the complete pattern sequence
            pattern_sequence = []
            for path in file_paths:
                # Add clear pattern if specified
                if clear_pattern and clear_pattern != 'none':
                    clear_file_path = get_clear_pattern_file(clear_pattern, path, cache_data)
                    if clear_file_path:
                        pattern_sequence.append(clear_file_path)

                # Add main pattern
                pattern_sequence.append(path)

            # Shuffle if requested
            if shuffle:
                # Get pairs of patterns (clear + main) to keep them together
                pairs = [pattern_sequence[i:i+2] for i in range(0, len(pattern_sequence), 2)]
                random.shuffle(pairs)
                # Flatten the pairs back into a single list
                pattern_sequence = [pattern for pair in pairs for pattern in pair]
                logger.info("Playlist shuffled")

            # Set the playlist to the first pattern
            state.current_playlist = pattern_sequence

            # Reset pattern counter at the start of the playlist
            state.patterns_since_last_home = 0

            # Execute the pattern sequence
            for idx, file_path in enumerate(pattern_sequence):
                state.current_playlist_index = idx
                if state.stop_requested:
                    logger.info("Execution stopped")
                    return

                current_is_clear = is_clear_pattern(file_path)

                # Check if we need to auto-home before this clear pattern
                # Auto-home happens after pause, before the clear pattern runs
                if current_is_clear and state.auto_home_enabled:
                    # Check if we've reached the pattern threshold
                    if state.patterns_since_last_home >= state.auto_home_after_patterns:
                        logger.info(f"Auto-homing triggered after {state.patterns_since_last_home} patterns")
                        try:
                            # Perform homing using connection_manager
                            success = await asyncio.to_thread(connection_manager.home)
                            if success:
                                logger.info("Auto-homing completed successfully")
                                state.patterns_since_last_home = 0
                            else:
                                logger.warning("Auto-homing failed, continuing with playlist")
                        except Exception as e:
                            logger.error(f"Error during auto-homing: {e}")

                # Update state for main patterns only
                logger.info(f"Running pattern {file_path}")

                # Execute the pattern
                await run_theta_rho_file(file_path, is_playlist=True)

                # Increment pattern counter only for non-clear patterns
                if not current_is_clear:
                    state.patterns_since_last_home += 1
                    logger.debug(f"Patterns since last home: {state.patterns_since_last_home}")

                # Check for scheduled pause after pattern completes (when "finish pattern first" is enabled)
                if state.scheduled_pause_finish_pattern and is_in_scheduled_pause_period() and not state.stop_requested:
                    logger.info("Pattern completed. Entering Still Sands period (finish pattern first mode)...")

                    # Turn off LED controller if control_wled is enabled
                    wled_was_off_for_scheduled = False
                    if state.scheduled_pause_control_wled and state.led_controller:
                        logger.info("Turning off LED lights during Still Sands period")
                        await state.led_controller.set_power_async(0)
                        wled_was_off_for_scheduled = True
                    elif state.led_controller:
                        await state.led_controller.effect_idle_async(state.dw_led_idle_effect)
                        start_idle_led_timeout()

                    # Wait until we're outside the scheduled pause period
                    while is_in_scheduled_pause_period() and not state.stop_requested:
                        await asyncio.sleep(1)

                    if not state.stop_requested:
                        logger.info("Still Sands period ended. Resuming playlist...")
                        if state.led_controller:
                            if wled_was_off_for_scheduled:
                                logger.info("Turning LED lights back on as Still Sands period ended")
                                await state.led_controller.set_power_async(1)
                                await asyncio.sleep(0.5)  # Critical delay for LED controller
                            await state.led_controller.effect_playing_async(state.dw_led_playing_effect)
                            idle_timeout_manager.cancel_timeout()

                # Handle pause between patterns
                if idx < len(pattern_sequence) - 1 and not state.stop_requested and pause_time > 0 and not state.skip_requested:
                    # Check if current pattern is a clear pattern
                    if current_is_clear:
                        logger.info("Skipping pause after clear pattern")
                    else:
                        logger.info(f"Pausing for {pause_time} seconds")
                        state.original_pause_time = pause_time
                        pause_start = time.time()
                        while time.time() - pause_start < pause_time:
                            state.pause_time_remaining = pause_start + pause_time - time.time()
                            if state.skip_requested:
                                logger.info("Pause interrupted by stop/skip request")
                                break
                            await asyncio.sleep(1)
                        state.pause_time_remaining = 0

                state.skip_requested = False

            if run_mode == "indefinite":
                logger.info("Playlist completed. Restarting as per 'indefinite' run mode")
                if pause_time > 0:
                    logger.debug(f"Pausing for {pause_time} seconds before restarting")
                    pause_start = time.time()
                    while time.time() - pause_start < pause_time:
                        state.pause_time_remaining = pause_start + pause_time - time.time()
                        if state.skip_requested:
                            logger.info("Pause interrupted by stop/skip request")
                            break
                        await asyncio.sleep(1)
                    state.pause_time_remaining = 0
                continue
            else:
                logger.info("Playlist completed")
                break

    finally:
        # Clean up progress update task
        if progress_update_task:
            progress_update_task.cancel()
            try:
                await progress_update_task
            except asyncio.CancelledError:
                pass
            progress_update_task = None
            
        # Clear all state variables
        state.current_playing_file = None
        state.execution_progress = None
        state.current_playlist = None
        state.current_playlist_index = None
        state.playlist_mode = None
        state.pause_time_remaining = 0

        if state.led_controller:
            await state.led_controller.effect_idle_async(state.dw_led_idle_effect)
            start_idle_led_timeout()

        logger.info("All requested patterns completed (or stopped) and state cleared")

async def stop_actions(clear_playlist = True, wait_for_lock = True):
    """Stop all current actions and wait for pattern to fully release.

    Args:
        clear_playlist: Whether to clear playlist state
        wait_for_lock: Whether to wait for pattern_lock to be released. Set to False when
                      called from within pattern execution to avoid deadlock.
    """
    try:
        with state.pause_condition:
            state.pause_requested = False
            state.stop_requested = True
            state.current_playing_file = None
            state.execution_progress = None
            state.is_clearing = False

            if clear_playlist:
                # Clear playlist state
                state.current_playlist = None
                state.current_playlist_index = None
                state.playlist_mode = None
                state.pause_time_remaining = 0

                # Cancel progress update task if we're clearing the playlist
                global progress_update_task
                if progress_update_task and not progress_update_task.done():
                    progress_update_task.cancel()

            state.pause_condition.notify_all()

        # Wait for the pattern lock to be released before continuing
        # This ensures that when stop_actions completes, the pattern has fully stopped
        # Skip this if called from within pattern execution to avoid deadlock
        if wait_for_lock and pattern_lock.locked():
            logger.info("Waiting for pattern to fully stop...")
            # Acquire and immediately release the lock to ensure the pattern has exited
            async with pattern_lock:
                logger.info("Pattern lock acquired - pattern has fully stopped")

        # Call async function directly since we're in async context
        await connection_manager.update_machine_position()
    except Exception as e:
        logger.error(f"Error during stop_actions: {e}")
        # Ensure we still update machine position even if there's an error
        try:
            await connection_manager.update_machine_position()
        except Exception as update_err:
            logger.error(f"Error updating machine position on error: {update_err}")

async def move_polar(theta, rho, speed=None):
    """
    Queue a motion command to be executed in the dedicated motion control thread.
    This makes motion control non-blocking for API endpoints.

    Args:
        theta (float): Target theta coordinate
        rho (float): Target rho coordinate
        speed (int, optional): Speed override. If None, uses state.speed
    """
    # Ensure motion control thread is running
    if not motion_controller.running:
        motion_controller.start()

    # Create future for async/await pattern
    loop = asyncio.get_event_loop()
    future = loop.create_future()

    # Create and queue motion command
    command = MotionCommand(
        command_type='move',
        theta=theta,
        rho=rho,
        speed=speed,
        future=future
    )

    motion_controller.command_queue.put(command)
    logger.debug(f"Queued motion command: theta={theta}, rho={rho}, speed={speed}")

    # Wait for command completion
    await future
    
def pause_execution():
    """Pause pattern execution using asyncio Event."""
    logger.info("Pausing pattern execution")
    state.pause_requested = True
    pause_event.clear()  # Clear the event to pause execution
    return True

def resume_execution():
    """Resume pattern execution using asyncio Event."""
    logger.info("Resuming pattern execution")
    state.pause_requested = False
    pause_event.set()  # Set the event to resume execution
    return True
    
async def reset_theta():
    logger.info('Resetting Theta')
    state.current_theta = state.current_theta % (2 * pi)
    # Call async function directly since we're in async context
    await connection_manager.update_machine_position()

def set_speed(new_speed):
    state.speed = new_speed
    logger.info(f'Set new state.speed {new_speed}')

def get_status():
    """Get the current status of pattern execution."""
    status = {
        "current_file": state.current_playing_file,
        "is_paused": state.pause_requested or is_in_scheduled_pause_period(),
        "manual_pause": state.pause_requested,
        "scheduled_pause": is_in_scheduled_pause_period(),
        "is_running": bool(state.current_playing_file and not state.stop_requested),
        "progress": None,
        "playlist": None,
        "speed": state.speed,
        "pause_time_remaining": state.pause_time_remaining,
        "original_pause_time": getattr(state, 'original_pause_time', None),
        "connection_status": state.conn.is_connected() if state.conn else False,
        "current_theta": state.current_theta,
        "current_rho": state.current_rho
    }
    
    # Add playlist information if available
    if state.current_playlist and state.current_playlist_index is not None:
        next_index = state.current_playlist_index + 1
        status["playlist"] = {
            "current_index": state.current_playlist_index,
            "total_files": len(state.current_playlist),
            "mode": state.playlist_mode,
            "next_file": state.current_playlist[next_index] if next_index < len(state.current_playlist) else None
        }
    
    if state.execution_progress:
        current, total, remaining_time, elapsed_time = state.execution_progress
        status["progress"] = {
            "current": current,
            "total": total,
            "remaining_time": remaining_time,
            "elapsed_time": elapsed_time,
            "percentage": (current / total * 100) if total > 0 else 0
        }

        # Add historical execution time if available
        if state.current_playing_file:
            pattern_name = os.path.basename(state.current_playing_file)
            historical_time = get_last_completed_execution_time(pattern_name, state.speed)
            if historical_time:
                status["progress"]["last_completed_time"] = historical_time

    return status

async def broadcast_progress():
    """Background task to broadcast progress updates."""
    from main import broadcast_status_update
    while True:
        # Send status updates regardless of pattern_lock state
        status = get_status()
        
        # Use the existing broadcast function from main.py
        await broadcast_status_update(status)
            
        # Check if we should stop broadcasting
        if not state.current_playlist:
            # If no playlist, only stop if no pattern is being executed
            if not pattern_lock.locked():
                logger.info("No playlist or pattern running, stopping broadcast")
                break
        
        # Wait before next update
        await asyncio.sleep(1)