540 lines
26 KiB
Python
540 lines
26 KiB
Python
import argparse
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import sys
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import time
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import os
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import logging
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from pathlib import Path
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from concurrent.futures import ProcessPoolExecutor, as_completed
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import subprocess
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import shutil
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import tempfile
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import zipfile
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from typing import List, Dict, Tuple, Optional
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# --- Utility Imports ---
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from utils.hash_utils import calculate_sha256
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from utils.path_utils import get_next_incrementing_value
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# --- Qt Imports for Application Structure ---
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from PySide6.QtCore import QObject, Slot, QThreadPool, QRunnable, Signal
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from PySide6.QtCore import Qt
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from PySide6.QtWidgets import QApplication
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# --- Backend Imports ---
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# Add current directory to sys.path for direct execution
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import sys
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import os
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sys.path.append(os.path.dirname(__file__))
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try:
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from configuration import Configuration, ConfigurationError
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from processing_engine import ProcessingEngine
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from rule_structure import SourceRule
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from gui.main_window import MainWindow
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from utils.workspace_utils import prepare_processing_workspace
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except ImportError as e:
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script_dir = Path(__file__).parent.resolve()
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print(f"ERROR: Cannot import Configuration or rule_structure classes.")
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print(f"Ensure configuration.py and rule_structure.py are in the same directory or Python path.")
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print(f"ERROR: Failed to import necessary classes: {e}")
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print(f"Ensure 'configuration.py' and 'asset_processor.py' exist in the directory:")
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print(f" {script_dir}")
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print("Or that the directory is included in your PYTHONPATH.")
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sys.exit(1)
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# --- Setup Logging ---
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# Keep setup_logging as is, it's called by main() or potentially monitor.py
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def setup_logging(verbose: bool):
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"""Configures logging for the application."""
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log_level = logging.DEBUG if verbose else logging.INFO
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log_format = '%(asctime)s [%(levelname)-8s] %(name)s: %(message)s'
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date_format = '%Y-%m-%d %H:%M:%S'
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# Remove existing handlers to avoid duplication if re-run in same session
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for handler in logging.root.handlers[:]:
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logging.root.removeHandler(handler)
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logging.basicConfig(
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level=log_level,
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format=log_format,
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datefmt=date_format,
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handlers=[
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logging.StreamHandler(sys.stdout)
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]
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)
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log = logging.getLogger(__name__)
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log.info(f"Logging level set to: {logging.getLevelName(log_level)}")
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log = logging.getLogger(__name__)
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# --- Argument Parser Setup ---
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# Keep setup_arg_parser as is, it's only used when running main.py directly
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def setup_arg_parser():
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"""Sets up and returns the command-line argument parser."""
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default_workers = 1
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try:
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# Use half the cores, but at least 1, max maybe 8-16? Depends on task nature.
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# Let's try max(1, os.cpu_count() // 2)
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cores = os.cpu_count()
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if cores:
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default_workers = max(1, cores // 2)
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except NotImplementedError:
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log.warning("Could not detect CPU count, defaulting workers to 1.")
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parser = argparse.ArgumentParser(
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description="Process asset files (ZIPs or folders) into a standardized library format using presets.",
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formatter_class=argparse.ArgumentDefaultsHelpFormatter
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)
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parser.add_argument(
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"input_paths",
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metavar="INPUT_PATH",
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type=str,
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nargs='*',
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default=[],
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help="Path(s) to the input ZIP file(s) or folder(s) containing assets (Required for CLI mode)."
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)
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parser.add_argument(
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"-p", "--preset",
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type=str,
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required=False,
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default=None,
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help="Name of the configuration preset (Required for CLI mode)."
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)
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parser.add_argument(
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"-o", "--output-dir",
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type=str,
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required=False,
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default=None,
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help="Override the default base output directory defined in config.py."
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)
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parser.add_argument(
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"-w", "--workers",
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type=int,
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default=default_workers,
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help="Maximum number of assets to process concurrently in parallel processes."
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)
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parser.add_argument(
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"-v", "--verbose",
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action="store_true",
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help="Enable detailed DEBUG level logging for troubleshooting."
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)
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parser.add_argument(
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"--overwrite",
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action="store_true",
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help="Force reprocessing and overwrite existing output asset folders if they exist."
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)
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parser.add_argument(
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"--nodegroup-blend",
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type=str,
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default=None,
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help="Path to the .blend file for creating/updating node groups. Overrides config.py default."
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)
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parser.add_argument(
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"--materials-blend",
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type=str,
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default=None,
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help="Path to the .blend file for creating/updating materials. Overrides config.py default."
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)
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parser.add_argument(
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"--gui",
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action="store_true",
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help="Force launch in GUI mode, ignoring other arguments."
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)
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return parser
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# --- Worker Runnable for Thread Pool ---
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class TaskSignals(QObject):
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finished = Signal(str, str, object) # rule_input_path, status, result/error
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class ProcessingTask(QRunnable):
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"""Wraps a call to processing_engine.process for execution in a thread pool."""
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def __init__(self, engine: ProcessingEngine, rule: SourceRule, workspace_path: Path, output_base_path: Path):
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super().__init__()
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self.engine = engine
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self.rule = rule
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self.workspace_path = workspace_path
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self.output_base_path = output_base_path
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self.signals = TaskSignals()
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@Slot() # Decorator required for QRunnable's run method
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def run(self):
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"""Prepares input files and executes the engine's process method."""
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log.info(f"Worker Thread: Starting processing for rule: {self.rule.input_path}")
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log.debug(f"DEBUG: Rule passed to ProcessingTask.run: {self.rule}")
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status = "failed"
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result_or_error = None
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prepared_workspace_path = None # Initialize path for prepared content outside try
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try:
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# --- 1. Prepare Input Workspace using Utility Function ---
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# The utility function creates the temp dir, prepares it, and returns its path.
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# It raises exceptions on failure (FileNotFoundError, ValueError, zipfile.BadZipFile, OSError).
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prepared_workspace_path = prepare_processing_workspace(self.rule.input_path)
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log.info(f"Workspace prepared successfully at: {prepared_workspace_path}")
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# --- DEBUG: List files in prepared workspace ---
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try:
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log.debug(f"Listing contents of prepared workspace: {prepared_workspace_path}")
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for item in prepared_workspace_path.rglob('*'):
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log.debug(f" Found item: {item.relative_to(prepared_workspace_path)}")
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except Exception as list_err:
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log.error(f"Error listing prepared workspace contents: {list_err}")
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# --- END DEBUG ---
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# --- 2. Execute Processing Engine ---
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log.info(f"Calling ProcessingEngine.process with rule for input: {self.rule.input_path}, prepared workspace: {prepared_workspace_path}, output: {self.output_base_path}")
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log.debug(f" Rule Details: {self.rule}")
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# --- Calculate SHA5 and Incrementing Value ---
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config = self.engine.config_obj
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archive_path = self.rule.input_path
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output_dir = self.output_base_path # This is already a Path object from App.on_processing_requested
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sha5_value = None
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try:
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archive_path_obj = Path(archive_path)
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if archive_path_obj.is_file():
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log.debug(f"Calculating SHA256 for file: {archive_path_obj}")
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full_sha = calculate_sha256(archive_path_obj)
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if full_sha:
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sha5_value = full_sha[:5]
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log.info(f"Calculated SHA5 for {archive_path}: {sha5_value}")
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else:
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log.warning(f"SHA256 calculation returned None for {archive_path}")
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elif archive_path_obj.is_dir():
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log.debug(f"Input path {archive_path} is a directory, skipping SHA5 calculation.")
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else:
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log.warning(f"Input path {archive_path} is not a valid file or directory for SHA5 calculation.")
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except FileNotFoundError:
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log.error(f"SHA5 calculation failed: File not found at {archive_path}")
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except Exception as e:
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log.exception(f"Error calculating SHA5 for {archive_path}: {e}")
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next_increment_str = None
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try:
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# output_dir should already be a Path object
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pattern = getattr(config, 'output_directory_pattern', None)
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if pattern:
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log.debug(f"Calculating next incrementing value for dir: {output_dir} using pattern: {pattern}")
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next_increment_str = get_next_incrementing_value(output_dir, pattern)
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log.info(f"Calculated next incrementing value for {output_dir}: {next_increment_str}")
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else:
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log.warning(f"Cannot calculate incrementing value: 'output_directory_pattern' not found in configuration for preset {config.preset_name}")
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except Exception as e:
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log.exception(f"Error calculating next incrementing value for {output_dir}: {e}")
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# --- End Calculation ---
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log.info(f"Calling engine.process with sha5='{sha5_value}', incrementing_value='{next_increment_str}'")
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result_or_error = self.engine.process(
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self.rule,
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workspace_path=prepared_workspace_path,
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output_base_path=self.output_base_path,
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incrementing_value=next_increment_str,
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sha5_value=sha5_value
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)
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status = "processed" # Assume success if no exception
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log.info(f"Worker Thread: Finished processing for rule: {self.rule.input_path}, Status: {status}")
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# Signal emission moved to finally block
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except (FileNotFoundError, ValueError, zipfile.BadZipFile, OSError) as prep_error:
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log.exception(f"Worker Thread: Error preparing workspace for rule {self.rule.input_path}: {prep_error}")
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status = "failed_preparation"
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result_or_error = str(prep_error)
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# Signal emission moved to finally block
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except Exception as proc_error:
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log.exception(f"Worker Thread: Error during engine processing for rule {self.rule.input_path}: {proc_error}")
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status = "failed_processing"
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result_or_error = str(proc_error)
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# Signal emission moved to finally block
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finally:
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# --- Emit finished signal regardless of success or failure ---
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try:
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self.signals.finished.emit(str(self.rule.input_path), status, result_or_error)
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log.debug(f"Worker Thread: Emitted finished signal for {self.rule.input_path} with status {status}")
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except Exception as sig_err:
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log.error(f"Worker Thread: Error emitting finished signal for {self.rule.input_path}: {sig_err}")
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# --- 3. Cleanup Workspace ---
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# Use the path returned by the utility function for cleanup
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if prepared_workspace_path and prepared_workspace_path.exists():
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try:
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log.info(f"Cleaning up temporary workspace: {prepared_workspace_path}")
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shutil.rmtree(prepared_workspace_path)
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except OSError as cleanup_error:
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log.error(f"Worker Thread: Failed to cleanup temporary workspace {prepared_workspace_path}: {cleanup_error}")
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# --- Main Application Class (Integrates GUI and Engine) ---
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class App(QObject):
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# Signal emitted when all queued processing tasks are complete
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all_tasks_finished = Signal(int, int, int) # processed_count, skipped_count, failed_count (Placeholder counts for now)
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def __init__(self):
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super().__init__()
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self.config_obj = None
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self.processing_engine = None
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self.main_window = None
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self.thread_pool = QThreadPool()
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self._active_tasks_count = 0
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self._task_results = {"processed": 0, "skipped": 0, "failed": 0}
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log.info(f"Maximum threads for pool: {self.thread_pool.maxThreadCount()}")
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self._load_config()
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self._init_engine()
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self._init_gui()
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def _load_config(self):
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"""Loads the base configuration using a default preset."""
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# The actual preset name comes from the GUI request later, but the engine
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# needs an initial valid configuration object.
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try:
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# Find the first available preset to use as a default
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preset_dir = Path(__file__).parent / "Presets"
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default_preset_name = None
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if preset_dir.is_dir():
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presets = sorted([f.stem for f in preset_dir.glob("*.json") if f.is_file() and not f.name.startswith('_')])
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if presets:
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default_preset_name = presets[0]
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log.info(f"Using first available preset as default for initial config: '{default_preset_name}'")
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if not default_preset_name:
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# Fallback or raise error if no presets found
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log.error("No presets found in the 'Presets' directory. Cannot initialize default configuration.")
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# Option 1: Raise an error
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raise ConfigurationError("No presets found to load default configuration.")
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self.config_obj = Configuration(preset_name=default_preset_name)
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log.info(f"Base configuration loaded using default preset '{default_preset_name}'.")
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except ConfigurationError as e:
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log.error(f"Fatal: Failed to load base configuration using default preset: {e}")
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# In a real app, show this error to the user before exiting
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sys.exit(1)
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except Exception as e:
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log.exception(f"Fatal: Unexpected error loading configuration: {e}")
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sys.exit(1)
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def _init_engine(self):
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"""Initializes the ProcessingEngine."""
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if self.config_obj:
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try:
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self.processing_engine = ProcessingEngine(self.config_obj)
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log.info("ProcessingEngine initialized.")
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except Exception as e:
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log.exception(f"Fatal: Failed to initialize ProcessingEngine: {e}")
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# Show error and exit
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sys.exit(1)
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else:
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log.error("Fatal: Cannot initialize ProcessingEngine without configuration.")
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sys.exit(1)
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def _init_gui(self):
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"""Initializes the MainWindow and connects signals."""
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if self.processing_engine:
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self.main_window = MainWindow() # MainWindow now part of the App
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# Connect the signal from the GUI to the App's slot using QueuedConnection
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# Connect the signal from the MainWindow (which is triggered by the panel) to the App's slot
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connection_success = self.main_window.start_backend_processing.connect(self.on_processing_requested, Qt.ConnectionType.QueuedConnection)
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log.info(f"DEBUG: Connection result for processing_requested (Queued): {connection_success}")
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if not connection_success:
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log.error("*********************************************************")
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log.error("FATAL: Failed to connect MainWindow.processing_requested signal to App.on_processing_requested slot!")
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log.error("*********************************************************")
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# Connect the App's completion signal to the MainWindow's slot
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self.all_tasks_finished.connect(self.main_window.on_processing_finished)
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log.info("MainWindow initialized and signals connected.")
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else:
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log.error("Fatal: Cannot initialize MainWindow without ProcessingEngine.")
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sys.exit(1)
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@Slot(list, dict) # Slot to receive List[SourceRule] and processing_settings dict
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def on_processing_requested(self, source_rules: list, processing_settings: dict):
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log.debug("DEBUG: App.on_processing_requested slot entered.")
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"""Handles the processing request from the GUI."""
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log.info(f"Received processing request for {len(source_rules)} rule sets.")
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log.info(f"DEBUG: Rules received by on_processing_requested: {source_rules}")
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log.info(f"VERIFY: App.on_processing_requested received {len(source_rules)} rules.")
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for i, rule in enumerate(source_rules):
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log.debug(f" VERIFY Rule {i}: Input='{rule.input_path}', Assets={len(rule.assets)}")
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if not self.processing_engine:
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log.error("Processing engine not available. Cannot process request.")
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self.main_window.statusBar().showMessage("Error: Processing Engine not ready.", 5000)
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return
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if not source_rules:
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log.warning("Processing requested with an empty rule list.")
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self.main_window.statusBar().showMessage("No rules to process.", 3000)
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return
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# Reset task counter and results for this batch
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self._active_tasks_count = len(source_rules)
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self._task_results = {"processed": 0, "skipped": 0, "failed": 0}
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log.debug(f"Initialized active task count to: {self._active_tasks_count}")
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# Update GUI progress bar/status via MainPanelWidget
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self.main_window.main_panel_widget.progress_bar.setMaximum(len(source_rules))
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self.main_window.main_panel_widget.progress_bar.setValue(0)
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self.main_window.main_panel_widget.progress_bar.setFormat(f"0/{len(source_rules)} tasks")
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# --- Get paths needed for ProcessingTask ---
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try:
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# Access output path via MainPanelWidget
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output_base_path_str = self.main_window.main_panel_widget.output_path_edit.text().strip()
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if not output_base_path_str:
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log.error("Cannot queue tasks: Output directory path is empty in the GUI.")
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self.main_window.statusBar().showMessage("Error: Output directory cannot be empty.", 5000)
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return
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output_base_path = Path(output_base_path_str)
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# Basic validation - check if it's likely a valid path structure (doesn't guarantee existence/writability here)
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if not output_base_path.is_absolute():
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# Or attempt to resolve relative to workspace? For now, require absolute from GUI.
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log.warning(f"Output path '{output_base_path}' is not absolute. Processing might fail if relative path is not handled correctly by engine.")
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# Consider resolving: output_base_path = Path.cwd() / output_base_path # If relative paths are allowed
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# Define workspace path (assuming main.py is in the project root)
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workspace_path = Path(__file__).parent.resolve()
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log.debug(f"Using Workspace Path: {workspace_path}")
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log.debug(f"Using Output Base Path: {output_base_path}")
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except Exception as e:
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log.exception(f"Error getting/validating paths for processing task: {e}")
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self.main_window.statusBar().showMessage(f"Error preparing paths: {e}", 5000)
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return
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# --- End Get paths ---
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# Set max threads based on GUI setting
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worker_count = processing_settings.get('workers', 1)
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self.thread_pool.setMaxThreadCount(worker_count)
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log.info(f"Set thread pool max workers to: {worker_count}")
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# Queue tasks in the thread pool
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log.debug("DEBUG: Entering task queuing loop.")
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for i, rule in enumerate(source_rules):
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if isinstance(rule, SourceRule):
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log.info(f"DEBUG Task {i+1}: Rule Input='{rule.input_path}', Supplier ID='{getattr(rule, 'supplier_identifier', 'Not Set')}', Preset='{getattr(rule, 'preset_name', 'Not Set')}'")
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log.debug(f"DEBUG: Preparing to queue task {i+1}/{len(source_rules)} for rule: {rule.input_path}")
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# --- Create a new Configuration and Engine instance for this specific task ---
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task_engine = None
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try:
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# Get preset name from the rule, fallback to app's default if missing
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preset_name_for_task = getattr(rule, 'preset_name', None)
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if not preset_name_for_task:
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log.warning(f"Task {i+1} (Rule: {rule.input_path}): SourceRule missing preset_name. Falling back to default preset '{self.config_obj.preset_name}'.")
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preset_name_for_task = self.config_obj.preset_name
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task_config = Configuration(preset_name=preset_name_for_task)
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task_engine = ProcessingEngine(task_config)
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log.debug(f"Task {i+1}: Created new ProcessingEngine instance with preset '{preset_name_for_task}'.")
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except ConfigurationError as config_err:
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log.error(f"Task {i+1} (Rule: {rule.input_path}): Failed to load configuration for preset '{preset_name_for_task}': {config_err}. Skipping task.")
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self._active_tasks_count -= 1 # Decrement count as this task won't run
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|
self._task_results["failed"] += 1
|
|
# Optionally update GUI status for this specific rule
|
|
self.main_window.update_file_status(str(rule.input_path), "failed", f"Config Error: {config_err}")
|
|
continue # Skip to the next rule
|
|
except Exception as engine_err:
|
|
log.exception(f"Task {i+1} (Rule: {rule.input_path}): Failed to initialize ProcessingEngine for preset '{preset_name_for_task}': {engine_err}. Skipping task.")
|
|
self._active_tasks_count -= 1 # Decrement count
|
|
self._task_results["failed"] += 1
|
|
self.main_window.update_file_status(str(rule.input_path), "failed", f"Engine Init Error: {engine_err}")
|
|
continue # Skip to the next rule
|
|
|
|
if task_engine is None: # Should not happen if exceptions are caught, but safety check
|
|
log.error(f"Task {i+1} (Rule: {rule.input_path}): Engine is None after initialization attempt. Skipping task.")
|
|
self._active_tasks_count -= 1 # Decrement count
|
|
self._task_results["failed"] += 1
|
|
self.main_window.update_file_status(str(rule.input_path), "failed", "Engine initialization failed (unknown reason).")
|
|
continue # Skip to the next rule
|
|
# --- End Engine Instantiation ---
|
|
|
|
task = ProcessingTask(
|
|
engine=task_engine,
|
|
rule=rule,
|
|
workspace_path=workspace_path,
|
|
output_base_path=output_base_path
|
|
)
|
|
task.signals.finished.connect(self._on_task_finished)
|
|
log.debug(f"DEBUG: Calling thread_pool.start() for task {i+1}")
|
|
self.thread_pool.start(task)
|
|
log.debug(f"DEBUG: Returned from thread_pool.start() for task {i+1}")
|
|
else:
|
|
log.warning(f"Skipping invalid item (index {i}) in rule list: {type(rule)}")
|
|
|
|
log.info(f"Queued {len(source_rules)} processing tasks (finished loop).")
|
|
# GUI status already updated in MainWindow when signal was emitted
|
|
|
|
# --- Slot to handle completion of individual tasks ---
|
|
@Slot(str, str, object)
|
|
def _on_task_finished(self, rule_input_path, status, result_or_error):
|
|
"""Handles the 'finished' signal from a ProcessingTask."""
|
|
log.info(f"Task finished signal received for {rule_input_path}. Status: {status}")
|
|
self._active_tasks_count -= 1
|
|
log.debug(f"Active tasks remaining: {self._active_tasks_count}")
|
|
|
|
# Update overall results (basic counts for now)
|
|
if status == "processed":
|
|
self._task_results["processed"] += 1
|
|
elif status == "skipped": # Assuming engine might return 'skipped' status eventually
|
|
self._task_results["skipped"] += 1
|
|
else: # Count all other statuses (failed_preparation, failed_processing) as failed
|
|
self._task_results["failed"] += 1
|
|
|
|
# Update progress bar via MainPanelWidget
|
|
total_tasks = self.main_window.main_panel_widget.progress_bar.maximum()
|
|
completed_tasks = total_tasks - self._active_tasks_count
|
|
self.main_window.main_panel_widget.update_progress_bar(completed_tasks, total_tasks) # Use MainPanelWidget's method
|
|
|
|
# Update status for the specific file in the GUI (if needed)
|
|
|
|
if self._active_tasks_count == 0:
|
|
log.info("All processing tasks finished.")
|
|
# Emit the signal with the final counts
|
|
self.all_tasks_finished.emit(
|
|
self._task_results["processed"],
|
|
self._task_results["skipped"],
|
|
self._task_results["failed"]
|
|
)
|
|
elif self._active_tasks_count < 0:
|
|
log.error("Error: Active task count went below zero!") # Should not happen
|
|
|
|
def run(self):
|
|
"""Shows the main window."""
|
|
if self.main_window:
|
|
self.main_window.show()
|
|
log.info("Application started. Showing main window.")
|
|
else:
|
|
log.error("Cannot run application, MainWindow not initialized.")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
parser = setup_arg_parser()
|
|
args = parser.parse_args()
|
|
|
|
setup_logging(args.verbose)
|
|
|
|
# Determine mode based on presence of required CLI args
|
|
if args.input_paths or args.preset:
|
|
# If either input_paths or preset is provided, assume CLI mode
|
|
# run_cli will handle validation that *both* are actually present
|
|
log.info("CLI arguments detected (input_paths or preset), attempting CLI mode.")
|
|
run_cli(args)
|
|
else:
|
|
# If neither input_paths nor preset is provided, run GUI mode
|
|
log.info("No required CLI arguments detected, starting GUI mode.")
|
|
# --- Run the GUI Application ---
|
|
try:
|
|
qt_app = QApplication(sys.argv)
|
|
|
|
app_instance = App()
|
|
app_instance.run()
|
|
|
|
sys.exit(qt_app.exec())
|
|
except Exception as gui_exc:
|
|
log.exception(f"An error occurred during GUI startup or execution: {gui_exc}")
|
|
sys.exit(1)
|