387 lines
14 KiB
Python
387 lines
14 KiB
Python
from __future__ import annotations
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import argparse
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import threading
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import tkinter as tk
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from tkinter import messagebox
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from collections.abc import Sequence
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from functools import lru_cache
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from pathlib import Path
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from queue import Empty, Queue
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from threading import Thread
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from pdf2image import convert_from_path
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from PIL import Image, ImageTk
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from copienator import (
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CliError,
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EvaluationWorkspace,
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ExitCode,
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atomic_write_json,
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execute,
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target_parser,
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workspace_from_target,
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)
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from copienator.filesystem import staged_files
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from copienator.copy_errors import clear_copy_error, mark_copy_error, marked_copy_paths
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DELIMITER_WIDTH = 5
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DELIMITER_COLOR = (0, 0, 0)
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OUTPUT_SIZE = (1800, 1000)
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pdf_cache_lock = threading.Lock()
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def distribute_pages(total_pages: int, max_per_file: int = 5) -> list[int]:
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"""Distribute pages into balanced chunks no larger than max_per_file."""
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if total_pages == 0:
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return []
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number_of_files = (total_pages + max_per_file - 1) // max_per_file
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base_count, remainder = divmod(total_pages, number_of_files)
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return [
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base_count + (1 if index < remainder else 0)
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for index in range(number_of_files)
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]
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def stitch_images(image_list: list[Image.Image]) -> Image.Image | None:
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if not image_list:
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return None
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total_width = sum(image.width for image in image_list)
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total_width += (len(image_list) - 1) * DELIMITER_WIDTH
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max_height = max(image.height for image in image_list)
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combined = Image.new("RGB", (total_width, max_height), color="white")
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x_offset = 0
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for index, image in enumerate(image_list):
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combined.paste(image, (x_offset, 0))
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x_offset += image.width
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if index < len(image_list) - 1:
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delimiter = Image.new(
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"RGB", (DELIMITER_WIDTH, max_height), color=DELIMITER_COLOR
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)
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combined.paste(delimiter, (x_offset, 0))
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x_offset += DELIMITER_WIDTH
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return combined
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@lru_cache(maxsize=3)
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def _get_pdf_pages_cached(pdf_path: Path) -> list[Image.Image]:
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return convert_from_path(pdf_path)
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def get_pdf_pages(pdf_path: Path) -> list[Image.Image]:
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"""Thread-safe wrapper around the small PDF conversion cache."""
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with pdf_cache_lock:
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return _get_pdf_pages_cached(pdf_path)
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def process_single_pdf(
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pdf_path: Path,
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shift_offset: int = 0,
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max_per_file: int = 5,
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) -> tuple[Image.Image, list[Image.Image], dict[str, object]] | None:
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"""Convert one PDF into a preview, full-resolution splits and metadata."""
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try:
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cropped_images = []
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for image in get_pdf_pages(pdf_path):
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width, height = image.size
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if max_per_file == 1:
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left, right = 0, width
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else:
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left = max(0, 100 + shift_offset)
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right = min(width, width // 3 + 100 + shift_offset)
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if right > left:
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cropped_images.append(image.crop((left, 0, right, height)))
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if not cropped_images:
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return None
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distribution = distribute_pages(len(cropped_images), max_per_file)
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split_images = []
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current_index = 0
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for count in distribution:
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stitched = stitch_images(cropped_images[current_index : current_index + count])
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if stitched is not None:
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split_images.append(stitched)
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current_index += count
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full_stitch = stitch_images(cropped_images)
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if full_stitch is None:
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return None
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preview = full_stitch.resize(OUTPUT_SIZE, Image.Resampling.BILINEAR)
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schema: dict[str, object] = {
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"original_filename": pdf_path.name,
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"total_pages": len(cropped_images),
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"number_of_files": len(split_images),
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"columns_per_file": distribution,
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}
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return preview, split_images, schema
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except Exception as exc: # noqa: BLE001 - interactive item failure
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print(f"Error processing {pdf_path.name}: {exc}")
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return None
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def _previous_cutleft_outputs(output_dir: Path, base_name: str) -> set[str]:
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if not output_dir.is_dir():
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return set()
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result = {f"{base_name}_schema.json"}
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for path in output_dir.glob(f"{base_name}_*.jpg"):
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suffix = path.stem.removeprefix(f"{base_name}_")
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if suffix.isdigit():
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result.add(path.name)
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return result
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def save_results(
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result: tuple[Image.Image, list[Image.Image], dict[str, object]],
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pdf_path: Path,
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output_dir: Path,
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) -> None:
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"""Atomically replace every Cutleft output associated with one copy."""
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_, splits, schema = result
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base_name = pdf_path.stem
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previous = _previous_cutleft_outputs(output_dir, base_name)
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with staged_files(output_dir, remove=previous) as staging:
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for index, image in enumerate(splits, start=1):
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filename = f"{base_name}_{index:02d}.jpg"
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image.save(staging / filename, "JPEG", quality=95)
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atomic_write_json(staging / f"{base_name}_schema.json", schema)
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for index in range(1, len(splits) + 1):
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print(f"Saved: {base_name}_{index:02d}.jpg")
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print(f"Saved schema: {base_name}_schema.json")
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class ImageReviewer:
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def __init__(
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self,
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files: list[Path],
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output_dir: Path,
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default_max_per_file: int = 5,
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) -> None:
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self.files = files
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self.output_dir = output_dir
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self.workspace = EvaluationWorkspace(output_dir.parent)
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self.completed = False
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self.had_errors = False
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self.stop_prefetch = threading.Event()
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self.current_result = None
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self.index = 0
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self.current_shift = 0
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self.default_max_per_file = default_max_per_file
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self.current_max_per_file = default_max_per_file
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self.current_preview: Image.Image | None = None
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self.is_processing = False
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self.manual_queue: Queue[
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tuple[Image.Image, list[Image.Image], dict[str, object]] | None
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] = Queue()
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self.root = tk.Tk()
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self.root.title("PDF Cropper")
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self.root.geometry("+100+100")
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self.label_img = tk.Label(self.root)
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self.label_img.pack()
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self.label_info = tk.Label(self.root, text="", font=("Arial", 12, "bold"))
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self.label_info.pack(pady=5)
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self.root.bind("<Return>", self.on_next)
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self.root.bind("s", self.on_skip)
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self.root.protocol("WM_DELETE_WINDOW", self.on_close)
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self.root.bind("n", lambda _event: self.on_shift(50))
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self.root.bind("N", lambda _event: self.on_shift(100))
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self.root.bind("t", lambda _event: self.on_shift(-50))
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self.root.bind("1", lambda _event: self.on_set_max_pages(1))
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Thread(target=self.prefetch_worker, daemon=True).start()
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self.load_current_image()
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self.root.lift()
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self.root.focus_force()
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self.root.mainloop()
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def on_set_max_pages(self, count: int) -> None:
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if self.is_processing:
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return
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self.current_max_per_file = count
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print(f"Setting max pages per file: {count}")
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self.trigger_processing(self.files[self.index], self.current_shift)
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def prefetch_worker(self) -> None:
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processed_index = -1
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while not self.stop_prefetch.is_set():
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target = self.index + 1
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if target < len(self.files) and target != processed_index:
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try:
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get_pdf_pages(self.files[target])
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except Exception:
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pass # The foreground review reports and flags conversion errors.
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processed_index = target
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self.stop_prefetch.wait(0.05)
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def load_current_image(self) -> None:
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if self.index >= len(self.files):
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print("All files processed.")
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self.completed = True
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self.on_close()
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return
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self.is_processing = False
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self.current_shift = 0
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self.current_result = None
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self.trigger_processing(self.files[self.index], self.current_shift)
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def trigger_processing(self, pdf_path: Path, shift: int) -> None:
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self.is_processing = True
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self.label_info.configure(
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text=f"Processing {pdf_path.name} (Shift {shift})... Please wait.",
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fg="red",
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)
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def worker() -> None:
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self.manual_queue.put(
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process_single_pdf(pdf_path, shift, self.current_max_per_file)
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)
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Thread(target=worker, daemon=True).start()
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self.check_manual_queue(pdf_path)
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def check_manual_queue(self, pdf_path: Path) -> None:
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try:
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result = self.manual_queue.get_nowait()
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self.is_processing = False
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if result is None:
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print(f"Failed to process {pdf_path.name}, skipping.")
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self._mark_error(pdf_path, "Échec de la conversion pour la découpe des marges")
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self._advance()
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else:
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self.handle_processing_result(result, pdf_path)
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except Empty:
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self.root.after(100, lambda: self.check_manual_queue(pdf_path))
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def handle_processing_result(
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self,
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result: tuple[Image.Image, list[Image.Image], dict[str, object]],
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pdf_path: Path,
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) -> None:
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self.current_preview = result[0]
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self.current_result = result
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self.update_display(pdf_path.name, result[2])
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def update_display(self, filename: str, schema: dict[str, object]) -> None:
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if self.current_preview is None:
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return
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tk_image = ImageTk.PhotoImage(self.current_preview)
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self.label_img.configure(image=tk_image)
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self.label_img.image = tk_image
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self.label_info.configure(
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text=(
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f"[{self.index + 1}/{len(self.files)}] {filename} | "
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f"Shift: {self.current_shift}px\nFiles: {schema['number_of_files']} | "
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f"Cols: {schema['columns_per_file']}\n"
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"Enter: Save and next | s: flag error and skip | n: +50 | N: +100 | t: -50 | "
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"1: use single column"
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),
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fg="black",
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)
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def on_shift(self, amount: int) -> None:
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if self.is_processing:
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return
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self.current_shift += amount
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print(f"Applying shift: {self.current_shift}")
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self.trigger_processing(self.files[self.index], self.current_shift)
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def on_next(self, _event: object) -> None:
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if self.is_processing or self.current_result is None:
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return
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pdf_path = self.files[self.index]
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try:
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save_results(self.current_result, pdf_path, self.output_dir)
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clear_copy_error(self.workspace, pdf_path)
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except Exception as exc:
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self._mark_error(pdf_path, f"Échec de l’enregistrement : {exc}")
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messagebox.showerror("Enregistrement impossible", str(exc), parent=self.root)
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return
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self._advance()
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def _mark_error(self, pdf_path: Path, reason: str) -> None:
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mark_copy_error(self.workspace, pdf_path, reason)
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self.had_errors = True
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print(f"[Copie signalée] {pdf_path.name}: {reason}")
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def on_skip(self, _event=None) -> None:
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if self.is_processing or self.index >= len(self.files):
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return
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self._mark_error(self.files[self.index], "Problème repéré pendant la découpe des marges")
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self._advance()
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def on_close(self) -> None:
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self.stop_prefetch.set()
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self.root.destroy()
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def _advance(self) -> None:
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self.index += 1
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self.current_shift = 0
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self.current_max_per_file = self.default_max_per_file
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self.load_current_image()
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def _selected_files(
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workspace: EvaluationWorkspace,
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target: Path,
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) -> list[Path]:
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workspace.require_directories("Copies")
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if target.is_file():
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if target.suffix.casefold() != ".pdf":
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raise CliError(f"Target is not a PDF: {target}", ExitCode.INVALID_ARGUMENTS)
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return [target]
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return sorted(
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(
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path
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for path in workspace.copies_dir.glob("*.pdf")
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if "nonc" not in path.name.casefold()
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),
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key=lambda path: path.name.casefold(),
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)
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def run(
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workspace: EvaluationWorkspace,
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target: Path,
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*,
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fullpage: bool = False,
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marked: bool = False,
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) -> ExitCode:
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files = marked_copy_paths(workspace) if marked else _selected_files(workspace, target)
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if not files:
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print("No PDF files found.")
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return ExitCode.SUCCESS
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workspace.cutleft_dir.mkdir(parents=True, exist_ok=True)
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_get_pdf_pages_cached.cache_clear()
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reviewer = ImageReviewer(
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files,
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workspace.cutleft_dir,
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default_max_per_file=1 if fullpage else 5,
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)
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if not reviewer.completed:
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return ExitCode.INTERRUPTED
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return ExitCode.PARTIAL if reviewer.had_errors else ExitCode.SUCCESS
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def build_parser() -> argparse.ArgumentParser:
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parser = target_parser("Interactively crop the label margin from PDF copies")
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parser.add_argument("--marked", action="store_true", help="Review flagged copies and clear each flag after saving with Enter")
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parser.add_argument(
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"--fullpage",
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action="store_true",
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help="Use each complete page instead of cropping the label margin",
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)
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return parser
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def main(argv: Sequence[str] | None = None) -> int:
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parser = build_parser()
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def handle(args: argparse.Namespace) -> ExitCode:
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workspace, target = workspace_from_target(args)
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return run(workspace, target, fullpage=args.fullpage, marked=args.marked)
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return execute(parser, argv, handle)
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if __name__ == "__main__":
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raise SystemExit(main())
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