from __future__ import annotations import argparse import shutil import tempfile from collections import defaultdict from collections.abc import Sequence from pathlib import Path import fitz from pypdf import PdfReader, PdfWriter import utils from copienator import ( CliError, EvaluationWorkspace, ExitCode, execute, read_json, target_parser, workspace_from_target, ) from copienator.filesystem import staged_directory SQUARE = 1000 // 38 Coordinate = tuple[str, int, int, int, int, int] ParsedCoordinate = tuple[str, str, int, int, int, int, int] def decode_json(pdf_file: str | Path) -> tuple[str, list[Coordinate]]: """Read verified label coordinates associated with one copy PDF.""" pdf_path = Path(pdf_file) loaded = read_json(pdf_path.with_suffix(".json")) if not isinstance(loaded, dict): raise TypeError(f"Expected a JSON object for {pdf_path}") boxes = loaded.get("list") if not isinstance(boxes, list): raise TypeError(f"Expected a list of labels for {pdf_path}") page_count = len(PdfReader(pdf_path).pages) if page_count == 0: raise ValueError(f"PDF contains no pages: {pdf_path}") column_width = 1000 // page_count result: list[Coordinate] = [] for entry in boxes: if not isinstance(entry, dict): raise TypeError(f"Malformed label entry for {pdf_path}: {entry!r}") box = entry["box_2d"] label = str(entry["label"]) page_number = ((box[1] + box[3]) // 2) // column_width result.append( (label, page_number, box[0] - SQUARE, box[2] - SQUARE, box[1], box[3]) ) result.sort(key=lambda item: (item[1], item[2])) return str(loaded.get("name", "")), result def _parse_coordinates(coords_list: list[Coordinate]) -> list[ParsedCoordinate]: parsed: list[ParsedCoordinate] = [] for label, page, y0, y1, x0, x1 in coords_list: if label.startswith("|"): kind, clean_label = "L", label[1:] elif label.endswith("|"): kind, clean_label = "R", label[:-1] else: kind, clean_label = "N", label parsed.append((clean_label, kind, page, y0, y1, x0, x1)) filtered: list[ParsedCoordinate] = [] for item in parsed: if not filtered or item[0] != filtered[-1][0]: filtered.append(item) return filtered def _save_cropped_page( document: fitz.Document, page_number: int, x0: float, y0: float, x1: float, y1: float, output_path: Path, ) -> None: page = document[page_number] rotated_rectangle = page.rect * page.transformation_matrix visual_crop = fitz.Rect( rotated_rectangle.x0 + x0, y0, rotated_rectangle.x0 + x1, y1, ) unrotated_clip = visual_crop * page.derotation_matrix cropped = fitz.open() try: target_page = cropped.new_page(width=visual_crop.width, height=visual_crop.height) target_page.show_pdf_page( target_page.rect, document, page_number, rotate=-page.rotation, clip=unrotated_clip, ) cropped.save(output_path) finally: cropped.close() def _render_split_outputs( input_pdf: Path, coords_list: list[Coordinate], staging: Path, ) -> set[str]: """Render every current answer into an otherwise empty staging directory.""" document = fitz.open(input_pdf) try: parsed = _parse_coordinates(coords_list) parts_by_label: defaultdict[str, list[Path]] = defaultdict(list) with tempfile.TemporaryDirectory(prefix="copienator-split-") as temp_directory: temporary = Path(temp_directory) for index, item in enumerate(parsed): clean_label, kind, start_page, y_start, _y_end, x0_raw, _x1_raw = item if clean_label == "_": continue if not 0 <= start_page < document.page_count: raise ValueError( f"Invalid page {start_page} for {input_pdf.name}" ) end_page = document.page_count - 1 end_y = 1000 for next_item in parsed[index + 1 :]: _next_label, next_kind, next_page, next_y, *_rest = next_item if ( (kind == "L" and next_kind in {"L", "N"}) or (kind == "R" and next_kind in {"R", "N"}) or kind == "N" ): end_page = next_page end_y = min(next_y + int(1.5 * SQUARE), 1000) break column_width = 1000 / document.page_count if kind == "L": fraction_x0 = (x0_raw % column_width) / column_width fraction_x1 = 1.0 end_y = min(1000, end_y + 40) elif kind == "R": fraction_x0 = 0.0 left_labels = [entry for entry in parsed if entry[1] == "L"] if left_labels: closest = min(left_labels, key=lambda entry: abs(entry[3] - y_start)) center = (closest[5] + closest[6]) / 2.0 fraction_x1 = (center % column_width) / column_width if fraction_x1 <= fraction_x0: fraction_x1 = 1.0 else: fraction_x1 = 1.0 else: fraction_x0, fraction_x1 = 0.0, 1.0 for page_number in range(start_page, end_page + 1): page = document[page_number] y0 = (y_start / 1000) * page.rect.height if page_number == start_page else 0 y1 = (end_y / 1000) * page.rect.height if page_number == end_page else page.rect.height if y1 <= y0 + 1: continue part_path = temporary / f"part-{index}-{page_number}.pdf" _save_cropped_page( document, page_number, fraction_x0 * page.rect.width, y0, fraction_x1 * page.rect.width, y1, part_path, ) parts_by_label[clean_label].append(part_path) generated: set[str] = set() for label, parts in parts_by_label.items(): filename = f"{label}.pdf" merger = PdfWriter() try: for part in parts: merger.append(part) merger.write(staging / filename) finally: merger.close() generated.add(filename) return generated finally: document.close() def _preserve_previous_outputs( output_dir: Path, staging: Path, generated_files: set[str], ) -> None: if not output_dir.is_dir(): return for directory in (path for path in output_dir.iterdir() if path.is_dir()): shutil.copytree(directory, staging / directory.name, dirs_exist_ok=True) missing_dir = staging / "Missing" for item in (path for path in output_dir.iterdir() if path.is_file()): if item.name in generated_files: continue print(f"ALERT: File '{item.name}' not generated. Moving to {missing_dir}") missing_dir.mkdir(exist_ok=True) shutil.copy2(item, missing_dir / item.name) def split_an_interro( workspace: EvaluationWorkspace, input_pdf: Path, coords_list: list[Coordinate], ) -> None: """Regenerate one copy's answers and preserve obsolete ones under Missing.""" output_dir = workspace.copies_dir / input_pdf.stem with staged_directory(output_dir) as staging: generated = _render_split_outputs(input_pdf, coords_list, staging) _preserve_previous_outputs(output_dir, staging, generated) def _selected_pdfs(workspace: EvaluationWorkspace, target: Path) -> list[Path]: workspace.require_directories("Copies") if target.is_file(): if target.suffix.casefold() != ".pdf": raise CliError(f"Target is not a PDF: {target}", ExitCode.INVALID_ARGUMENTS) return [target] return sorted(workspace.copies_dir.glob("*.pdf"), key=lambda path: path.name.casefold()) def run(workspace: EvaluationWorkspace, target: Path) -> ExitCode: workspace.require_files("labels") utils.read_all_labels(workspace.root) pdf_files = _selected_pdfs(workspace, target) status = ExitCode.SUCCESS for pdf_path in pdf_files: json_path = pdf_path.with_suffix(".json") if not json_path.is_file(): print(f"Warning: No JSON found for {pdf_path.name}") status = ExitCode.PARTIAL continue name, coordinates = decode_json(pdf_path) print(f"Decoded name: {name}") split_an_interro(workspace, pdf_path, coordinates) if not pdf_files: print("No PDF copies found.") return status def build_parser() -> argparse.ArgumentParser: return target_parser("Split verified PDF copies into answers by label") def main(argv: Sequence[str] | None = None) -> int: parser = build_parser() def handle(args: argparse.Namespace) -> ExitCode: workspace, target = workspace_from_target(args) return run(workspace, target) return execute(parser, argv, handle) if __name__ == "__main__": raise SystemExit(main())