Extrakt von Fortna gestartet um Standardsymbole und Basis für die ersten .rst Files zu erhalten.

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"""
convert_to_rst.py - Konvertiert Word-Dokumente (.docx) und Word-erstellte PDFs nach .rst
Zwei-Stufen-Ansatz:
1. Textextraktion: .docx via mammoth -> HTML, PDF via pdfminer -> Text
2. Strukturerkennung: HTML/Text -> .rst mit Ueberschriften-Hierarchie
Verwendung:
python convert_to_rst.py <input_dir> <output_dir> [--dry-run] [--lang de]
"""
from __future__ import annotations
import argparse
import html as html_module
import logging
import os
import re
import sys
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional
# ---------------------------------------------------------------------------
# Konfiguration: Mapping Quelldatei -> Zielkapitel
# ---------------------------------------------------------------------------
# Muster im Dateinamen -> Zielkapitel-Pfad (relativ zu chapters/)
CHAPTER_MAPPING: list[tuple[re.Pattern[str], str]] = [
# 02_INSTRUCTIONS -> 04_betrieb, 05_wartung, 06_steuerung
(re.compile(r"betriebsanleitung", re.I), "04_betrieb/betriebsanleitung"),
(re.compile(r"wartungsanleitung|wartung", re.I), "05_wartung/wartungsanleitung"),
(re.compile(r"funktion.*(steuerung|control)|steuerungsbeschreibung", re.I), "06_steuerung"),
# 01_CERTIFICATES
(re.compile(r"konfigurationsbeschreibung|configuration.description", re.I), "01_zertifikate/konfigurationsbeschreibung"),
(re.compile(r"konformit|conformity|declaration", re.I), "01_zertifikate/konformitaetserklaerung"),
# 00_CONTENTS
(re.compile(r"contens|inhaltsverzeichnis|contents", re.I), "00_inhaltsverzeichnis"),
# 03_SPARE_PARTS -> 07_ersatzteile
(re.compile(r"spare.part|ersatzteil", re.I), "07_ersatzteile"),
# 05_REPORTS -> 10_anhang
(re.compile(r"wiederanlauf|drehrichtung|erprobung|protokoll|pr[uü]f", re.I), "10_anhang/pruefberichte"),
# Risikobewertung (RB_ prefix)
(re.compile(r"^RB_|risikobewertung|risikobeurteilung", re.I), "02_sicherheit/risikobewertung"),
]
# Benutzerdefinierte Word-Styles -> Heading-Level
CUSTOM_STYLE_MAP = {
"Ü1-ILS": 1, "Ü2-ILS": 2, "Ü3-ILS": 3, "Ü4-ILS": 4,
"Ü1": 1, "Ü2": 2, "Ü3": 3, "Ü4": 4,
}
# mammoth style_map String
MAMMOTH_STYLE_MAP = "\n".join([
"p[style-name='Ü1-ILS'] => h1:fresh",
"p[style-name='Ü2-ILS'] => h2:fresh",
"p[style-name='Ü3-ILS'] => h3:fresh",
"p[style-name='Ü4-ILS'] => h4:fresh",
"p[style-name='Heading 1'] => h1:fresh",
"p[style-name='Heading 2'] => h2:fresh",
"p[style-name='Heading 3'] => h3:fresh",
"p[style-name='Heading 4'] => h4:fresh",
"p[style-name='Doku-Text'] => p:fresh",
"p[style-name='Doku-1Aufzähl'] => ul > li:fresh",
"p[style-name='Doku-1Aufzählung'] => ul > li:fresh",
"p[style-name='Doku-2fettAufzählung'] => ul > li:fresh",
"p[style-name='Caption'] => p:fresh",
"p[style-name='Text'] => p:fresh",
"p[style-name='Doku-Text fett'] => p:fresh",
"p[style-name='Doku-Text12fett'] => p:fresh",
"p[style-name='Vorgabetext'] => p:fresh",
])
# rST Ueberschriften-Zeichen nach Level
RST_HEADING_CHARS = {1: "=", 2: "-", 3: "~", 4: "^", 5: '"'}
log = logging.getLogger(__name__)
# ---------------------------------------------------------------------------
# Datenklassen
# ---------------------------------------------------------------------------
@dataclass
class RstBlock:
"""Ein Block im .rst-Dokument."""
kind: str # "heading", "paragraph", "list_item", "image", "table", "empty"
text: str = ""
level: int = 0 # nur fuer headings
image_path: str = "" # nur fuer images
@dataclass
class ConversionResult:
"""Ergebnis einer Konvertierung."""
source_path: Path
target_chapter: str
rst_filename: str
blocks: list[RstBlock] = field(default_factory=list)
images: dict[str, bytes] = field(default_factory=dict) # filename -> data
warnings: list[str] = field(default_factory=list)
# ---------------------------------------------------------------------------
# Kapitel-Erkennung
# ---------------------------------------------------------------------------
def detect_chapter(filename: str) -> str:
"""Bestimmt das Zielkapitel anhand des Dateinamens."""
for pattern, chapter in CHAPTER_MAPPING:
if pattern.search(filename):
return chapter
return "10_anhang" # Fallback
def detect_steuerung_subdir(filename: str) -> str:
"""Erkennt das Steuerungssystem fuer Unterordner in 06_steuerung/."""
lower = filename.lower()
if "loading" in lower or "loadingloop" in lower.replace("_", ""):
return "loading_loop"
if "omniflo" in lower:
return "omniflo"
if "ils" in lower:
return "ils"
return ""
def make_rst_filename(source_name: str) -> str:
"""Erzeugt einen sauberen .rst-Dateinamen."""
stem = Path(source_name).stem
# Versionsnummern und Datumsangaben vereinfachen
slug = stem.lower()
slug = re.sub(r"[^a-z0-9_]+", "_", slug)
slug = re.sub(r"_+", "_", slug).strip("_")
return slug + ".de.rst"
# ---------------------------------------------------------------------------
# Konvertierung: .docx -> HTML -> rST-Blocks
# ---------------------------------------------------------------------------
def convert_docx_to_blocks(docx_path: Path) -> tuple[list[RstBlock], dict[str, bytes], list[str]]:
"""Konvertiert .docx via mammoth nach rST-Blocks."""
import mammoth
blocks: list[RstBlock] = []
images: dict[str, bytes] = {}
warnings: list[str] = []
image_counter = 0
def handle_image(image):
nonlocal image_counter
image_counter += 1
ext = image.content_type.split("/")[-1] if image.content_type else "png"
if ext == "jpeg":
ext = "jpg"
img_name = f"img_{image_counter:03d}.{ext}"
with image.open() as img_file:
images[img_name] = img_file.read()
return {"src": img_name}
with open(docx_path, "rb") as f:
result = mammoth.convert_to_html(
f,
style_map=MAMMOTH_STYLE_MAP,
convert_image=mammoth.images.img_element(handle_image),
)
html = result.value
for msg in result.messages:
warnings.append(str(msg))
# HTML parsen -> Blocks
blocks = _html_to_blocks(html)
return blocks, images, warnings
def _html_to_blocks(html: str) -> list[RstBlock]:
"""Parst mammoth-HTML in RstBlock-Liste."""
blocks: list[RstBlock] = []
# Einfacher Regex-basierter Parser (mammoth erzeugt sauberes HTML)
# Aufteilung in Top-Level-Elemente
elements = re.split(r"(</?(?:h[1-6]|p|ul|ol|li|table|tr|td|th|img)[^>]*>)", html)
current_text = ""
current_kind = "paragraph"
current_level = 0
in_list = False
in_table = False
for elem in elements:
if not elem:
continue
# Oeffnende Tags
heading_match = re.match(r"<h([1-6])(?:\s[^>]*)?>", elem)
if heading_match:
_flush_block(blocks, current_kind, current_text, current_level)
current_text = ""
current_kind = "heading"
current_level = int(heading_match.group(1))
continue
if re.match(r"</h[1-6]>", elem):
_flush_block(blocks, current_kind, current_text, current_level)
current_text = ""
current_kind = "paragraph"
current_level = 0
continue
if re.match(r"<ul[^>]*>", elem):
_flush_block(blocks, current_kind, current_text, current_level)
current_text = ""
in_list = True
continue
if re.match(r"</ul>", elem):
in_list = False
continue
if re.match(r"<li[^>]*>", elem):
_flush_block(blocks, current_kind, current_text, current_level)
current_text = ""
current_kind = "list_item"
continue
if re.match(r"</li>", elem):
_flush_block(blocks, current_kind, current_text, current_level)
current_text = ""
current_kind = "paragraph"
continue
if re.match(r"<p[^>]*>", elem):
_flush_block(blocks, current_kind, current_text, current_level)
current_text = ""
if current_kind != "heading":
current_kind = "paragraph"
continue
if re.match(r"</p>", elem):
_flush_block(blocks, current_kind, current_text, current_level)
current_text = ""
current_kind = "paragraph"
current_level = 0
continue
# Bilder
img_match = re.search(r'<img[^>]*src="([^"]+)"[^>]*/?\s*>', elem)
if img_match:
src = img_match.group(1)
if not src.startswith("data:"): # Skip base64 inline images
blocks.append(RstBlock(kind="image", image_path=src))
continue
# table-Tags: vereinfacht als Text-Block
if re.match(r"<table[^>]*>", elem):
_flush_block(blocks, current_kind, current_text, current_level)
current_text = ""
in_table = True
continue
if re.match(r"</table>", elem):
in_table = False
_flush_block(blocks, "paragraph", current_text, 0)
current_text = ""
continue
# Text-Inhalt: HTML-Tags entfernen
text = re.sub(r"<[^>]+>", "", elem)
text = html_module.unescape(text)
current_text += text
_flush_block(blocks, current_kind, current_text, current_level)
return blocks
def _flush_block(blocks: list[RstBlock], kind: str, text: str, level: int) -> None:
"""Fuegt einen Block hinzu wenn Text vorhanden."""
clean = text.strip()
if not clean:
return
# Tab-getrennte Inhalte bereinigen
clean = re.sub(r"\t+", " ", clean)
blocks.append(RstBlock(kind=kind, text=clean, level=level))
# ---------------------------------------------------------------------------
# Konvertierung: PDF -> Text -> rST-Blocks
# ---------------------------------------------------------------------------
def convert_pdf_to_blocks(pdf_path: Path) -> tuple[list[RstBlock], list[str]]:
"""Konvertiert PDF via pdfminer nach rST-Blocks."""
from pdfminer.high_level import extract_text
warnings: list[str] = []
try:
text = extract_text(str(pdf_path))
except Exception as e:
warnings.append(f"PDF-Extraktion fehlgeschlagen: {e}")
return [], warnings
blocks = _text_to_blocks(text)
return blocks, warnings
def _text_to_blocks(text: str) -> list[RstBlock]:
"""Heuristik: Plain-Text in Blocks mit Ueberschriften-Erkennung."""
blocks: list[RstBlock] = []
lines = text.split("\n")
i = 0
while i < len(lines):
line = lines[i].rstrip()
if not line.strip():
i += 1
continue
# Heuristik: Nummerierte Ueberschriften (1, 1.1, 1.1.1 etc.)
heading_match = re.match(r"^(\d+(?:\.\d+)*)\s+(.+)$", line.strip())
if heading_match:
num = heading_match.group(1)
title = heading_match.group(2).strip()
level = min(num.count(".") + 1, 4)
# Pruefen ob die naechste Zeile leer ist (typisch fuer Ueberschriften)
next_empty = (i + 1 < len(lines) and not lines[i + 1].strip())
# Oder ob der Text kurz genug fuer eine Ueberschrift ist
if next_empty or len(title) < 80:
blocks.append(RstBlock(kind="heading", text=f"{num} {title}", level=level))
i += 1
continue
# Aufzaehlungszeichen
list_match = re.match(r"^\s*[•\-]\s+(.+)$", line.strip())
if list_match:
blocks.append(RstBlock(kind="list_item", text=list_match.group(1).strip()))
i += 1
continue
# Normaler Absatz: Sammle zusammenhaengende Zeilen
para_lines = [line.strip()]
i += 1
while i < len(lines) and lines[i].strip() and not re.match(r"^\d+(?:\.\d+)*\s+", lines[i].strip()):
if re.match(r"^\s*[•\-]\s+", lines[i].strip()):
break
para_lines.append(lines[i].strip())
i += 1
para_text = " ".join(para_lines)
if para_text:
blocks.append(RstBlock(kind="paragraph", text=para_text))
return blocks
# ---------------------------------------------------------------------------
# Blocks -> .rst Rendering
# ---------------------------------------------------------------------------
def render_rst(blocks: list[RstBlock], title: str = "") -> str:
"""Rendert RstBlock-Liste als .rst-String."""
lines: list[str] = []
if title:
lines.append(RST_HEADING_CHARS[1] * len(title))
lines.append(title)
lines.append(RST_HEADING_CHARS[1] * len(title))
lines.append("")
prev_kind = ""
for block in blocks:
if block.kind == "heading":
text = block.text
if not text:
continue
level = max(1, min(block.level, 5))
char = RST_HEADING_CHARS[level]
lines.append("")
if level == 1:
lines.append(char * len(text))
lines.append(text)
lines.append(char * len(text))
lines.append("")
elif block.kind == "paragraph":
if prev_kind != "paragraph":
lines.append("")
lines.append(block.text)
lines.append("")
elif block.kind == "list_item":
lines.append(f"- {block.text}")
elif block.kind == "image":
lines.append("")
lines.append(f".. figure:: images/{block.image_path}")
lines.append(" :align: center")
lines.append("")
prev_kind = block.kind
# Bereinigung: Mehrfache Leerzeilen reduzieren
rst = "\n".join(lines)
rst = re.sub(r"\n{3,}", "\n\n", rst)
return rst.strip() + "\n"
# ---------------------------------------------------------------------------
# Erkennung: Ist PDF Word-erstellt?
# ---------------------------------------------------------------------------
def is_word_pdf(pdf_path: Path) -> bool:
"""Prueft ob ein PDF mit Microsoft Word erstellt wurde."""
from pdfminer.pdfparser import PDFParser
from pdfminer.pdfdocument import PDFDocument
try:
with open(pdf_path, "rb") as f:
parser = PDFParser(f)
doc = PDFDocument(parser)
if not doc.info:
return False
info = doc.info[0]
def decode(v: object) -> str:
if isinstance(v, bytes):
# UTF-16 BOM erkennen
if v[:2] in (b"\xff\xfe", b"\xfe\xff"):
return v.decode("utf-16", errors="replace")
return v.decode("utf-8", errors="replace")
return str(v) if v else ""
creator = decode(info.get("Creator", b""))
producer = decode(info.get("Producer", b""))
combined = (creator + " " + producer).lower()
return "word" in combined or "microsoft" in combined
except Exception:
return False
# ---------------------------------------------------------------------------
# Hauptlogik
# ---------------------------------------------------------------------------
def find_sources(input_dir: Path, lang: str = "de") -> list[Path]:
"""Findet alle konvertierbaren Quelldateien (DE)."""
sources: list[Path] = []
# 1. .docx am Root
for p in sorted(input_dir.glob("*.docx")):
sources.append(p)
# 2. Deutsche PDFs aus Unterordnern
lang_patterns = [f"*{lang}*", f"*{lang.upper()}*", f"*DE*", f"*_de_*"]
de_dirs = [f"*{lang}*", f"*{lang.upper()}*", "*DE*", "*original*"]
for pdf in sorted(input_dir.rglob("*.pdf")):
rel = pdf.relative_to(input_dir)
parts_lower = str(rel).lower()
# Nur DE-Dateien oder Dateien aus DE-Ordnern
is_de = False
for part in rel.parts:
pl = part.lower()
if "de" in pl.split("_") or pl.startswith("01_de") or pl.endswith("_de"):
is_de = True
break
if "_de." in parts_lower or "_de_" in parts_lower:
is_de = True
# Dateien im Root (ohne Sprachordner) sind auch DE
if len(rel.parts) <= 2:
is_de = True
if not is_de:
continue
# Nur Word-erstellte PDFs
if is_word_pdf(pdf):
sources.append(pdf)
return sources
def convert_file(source: Path, input_dir: Path, chapters_dir: Path) -> ConversionResult:
"""Konvertiert eine einzelne Datei und bestimmt Zielkapitel."""
filename = source.name
# Kapitel bestimmen
chapter = detect_chapter(filename)
# Spezialfall: Steuerung -> Unterordner
if chapter == "06_steuerung":
sub = detect_steuerung_subdir(filename)
if sub:
chapter = f"06_steuerung/{sub}"
rst_filename = make_rst_filename(filename)
result = ConversionResult(
source_path=source,
target_chapter=chapter,
rst_filename=rst_filename,
)
# Konvertierung
if source.suffix.lower() == ".docx":
blocks, images, warnings = convert_docx_to_blocks(source)
result.blocks = blocks
result.images = images
result.warnings = warnings
elif source.suffix.lower() == ".pdf":
blocks, warnings = convert_pdf_to_blocks(source)
result.blocks = blocks
result.warnings = warnings
else:
result.warnings.append(f"Unbekanntes Format: {source.suffix}")
return result
def write_result(result: ConversionResult, chapters_dir: Path, dry_run: bool = False) -> None:
"""Schreibt das Konvertierungsergebnis ins Dateisystem."""
target_dir = chapters_dir / result.target_chapter
target_file = target_dir / result.rst_filename
# Titel aus erstem Heading oder Dateiname
title = ""
for block in result.blocks:
if block.kind == "heading" and block.text:
title = block.text
break
if not title:
title = result.source_path.stem
rst_content = render_rst(result.blocks, title="")
if dry_run:
log.info("[DRY-RUN] %s -> %s (%d blocks, %d images)",
result.source_path.name, target_file.relative_to(chapters_dir),
len(result.blocks), len(result.images))
return
# Ordner anlegen
target_dir.mkdir(parents=True, exist_ok=True)
# .rst schreiben
target_file.write_text(rst_content, encoding="utf-8")
log.info("Geschrieben: %s (%d blocks)", target_file.relative_to(chapters_dir), len(result.blocks))
# Bilder speichern
if result.images:
img_dir = target_dir / "images"
img_dir.mkdir(exist_ok=True)
for img_name, img_data in result.images.items():
img_file = img_dir / img_name
img_file.write_bytes(img_data)
log.info(" %d Bilder nach %s", len(result.images), img_dir.relative_to(chapters_dir))
def main() -> None:
parser = argparse.ArgumentParser(
description="Konvertiert Word-Dokumente (.docx) und Word-PDFs nach .rst"
)
parser.add_argument("input_dir", type=Path,
help="Quellverzeichnis mit .docx/.pdf Dateien")
parser.add_argument("output_dir", type=Path,
help="Ziel-chapters/ Verzeichnis")
parser.add_argument("--dry-run", action="store_true",
help="Nur anzeigen, nichts schreiben")
parser.add_argument("--lang", default="de",
help="Zielsprache (default: de)")
parser.add_argument("--verbose", "-v", action="store_true",
help="Ausfuehrliche Ausgabe")
args = parser.parse_args()
logging.basicConfig(
level=logging.DEBUG if args.verbose else logging.INFO,
format="%(levelname)-7s %(message)s",
)
input_dir = args.input_dir.resolve()
chapters_dir = args.output_dir.resolve()
if not input_dir.exists():
log.error("Quellverzeichnis nicht gefunden: %s", input_dir)
sys.exit(1)
if not chapters_dir.exists():
log.error("Zielverzeichnis nicht gefunden: %s", chapters_dir)
sys.exit(1)
# Quellen finden
log.info("Suche Quelldateien in %s ...", input_dir)
sources = find_sources(input_dir, args.lang)
log.info("Gefunden: %d Dateien", len(sources))
if not sources:
log.warning("Keine konvertierbaren Dateien gefunden.")
sys.exit(0)
# Anzeige
for src in sources:
rel = src.relative_to(input_dir)
chapter = detect_chapter(src.name)
if chapter == "06_steuerung":
sub = detect_steuerung_subdir(src.name)
if sub:
chapter = f"06_steuerung/{sub}"
log.info(" %s -> %s", rel, chapter)
print()
# Konvertierung
success = 0
errors = 0
for src in sources:
try:
result = convert_file(src, input_dir, chapters_dir)
if result.blocks:
write_result(result, chapters_dir, dry_run=args.dry_run)
success += 1
else:
log.warning("Keine Inhalte extrahiert: %s", src.name)
errors += 1
for w in result.warnings:
log.warning(" %s: %s", src.name, w)
except Exception as e:
log.error("Fehler bei %s: %s", src.name, e)
errors += 1
print()
log.info("Fertig: %d erfolgreich, %d Fehler", success, errors)
if __name__ == "__main__":
main()