Add Django backend, Next.js frontend, and deploy templates

2026-08-27 15:38:31 +00:00
1 parent fc0c991335
commit e9cd22d36f
@@ -0,0 +1,125 @@
+from __future__ import annotations
+
+import re
+import zipfile
+from pathlib import Path
+from typing import Iterable
+from xml.etree import ElementTree as ET
+
+from docx import Document as DocxDocument
+from reportlab.lib.pagesizes import A4
+from reportlab.lib.styles import ParagraphStyle, getSampleStyleSheet
+from reportlab.lib.units import mm
+from reportlab.pdfbase import pdfmetrics
+from reportlab.pdfbase.ttfonts import TTFont
+from reportlab.platypus import Paragraph, SimpleDocTemplate, Spacer
+
+
+ROOT = Path(__file__).resolve().parents[1]
+DOCS_DIR = ROOT / "public" / "documents"
+FONT_PATH = Path("C:/Windows/Fonts/arial.ttf")
+FONT_NAME = "ArialLocal"
+
+
+def register_font() -> None:
+    if FONT_NAME not in pdfmetrics.getRegisteredFontNames():
+        pdfmetrics.registerFont(TTFont(FONT_NAME, str(FONT_PATH)))
+
+
+def normalize_lines(lines: Iterable[str]) -> list[str]:
+    cleaned: list[str] = []
+    for line in lines:
+        value = re.sub(r"\s+", " ", line.replace("\xa0", " ")).strip()
+        if value:
+            cleaned.append(value)
+    return cleaned
+
+
+def read_docx(path: Path) -> list[str]:
+    doc = DocxDocument(path)
+    return normalize_lines(paragraph.text for paragraph in doc.paragraphs)
+
+
+def read_rtf(path: Path) -> list[str]:
+    raw = path.read_text(encoding="utf-8", errors="ignore")
+    raw = re.sub(r"\\par[d]?", "\n", raw)
+    raw = re.sub(r"\\'[0-9a-fA-F]{2}", "", raw)
+    raw = re.sub(r"\\[a-zA-Z]+-?\d* ?", "", raw)
+    raw = raw.replace("{", "").replace("}", "")
+    return normalize_lines(raw.splitlines())
+
+
+def read_odt(path: Path) -> list[str]:
+    with zipfile.ZipFile(path) as archive:
+      content = archive.read("content.xml")
+
+    root = ET.fromstring(content)
+    ns = {
+        "text": "urn:oasis:names:tc:opendocument:xmlns:text:1.0",
+    }
+    paragraphs = [node.itertext() for node in root.findall(".//text:p", ns)]
+    return normalize_lines("".join(text) for text in paragraphs)
+
+
+def write_pdf(lines: list[str], output_path: Path, title: str) -> None:
+    register_font()
+
+    styles = getSampleStyleSheet()
+    body_style = ParagraphStyle(
+        "BodyRussian",
+        parent=styles["BodyText"],
+        fontName=FONT_NAME,
+        fontSize=11,
+        leading=15,
+        spaceAfter=7,
+    )
+    title_style = ParagraphStyle(
+        "TitleRussian",
+        parent=styles["Heading1"],
+        fontName=FONT_NAME,
+        fontSize=16,
+        leading=20,
+        spaceAfter=14,
+    )
+
+    story = [Paragraph(title, title_style), Spacer(1, 4 * mm)]
+    for line in lines:
+        story.append(Paragraph(line.replace("&", "&amp;").replace("<", "&lt;").replace(">", "&gt;"), body_style))
+
+    doc = SimpleDocTemplate(
+        str(output_path),
+        pagesize=A4,
+        leftMargin=18 * mm,
+        rightMargin=18 * mm,
+        topMargin=18 * mm,
+        bottomMargin=18 * mm,
+        title=title,
+    )
+    doc.build(story)
+
+
+def convert(source_name: str, output_name: str, title: str) -> None:
+    source_path = DOCS_DIR / source_name
+    output_path = DOCS_DIR / output_name
+    extension = source_path.suffix.lower()
+
+    if extension == ".docx":
+        lines = read_docx(source_path)
+    elif extension == ".rtf":
+        lines = read_rtf(source_path)
+    elif extension == ".odt":
+        lines = read_odt(source_path)
+    else:
+        raise ValueError(f"Unsupported extension: {extension}")
+
+    write_pdf(lines, output_path, title)
+    print(f"Converted {source_name} -> {output_name}")
+
+
+if __name__ == "__main__":
+    convert("price_site.odt", "price_site.pdf", "Перечень платных медицинских услуг")
+    convert("perechen.docx", "perechen.pdf", "Лекарственное обеспечение")
+    convert("o_pravilah_gospitalizacii.docx", "o_pravilah_gospitalizacii.pdf", "О правилах и сроках госпитализации")
+    convert("o_diagnostike.docx", "o_diagnostike.pdf", "О правилах подготовки к диагностическим исследованиям")
+    convert("ob_obyome.docx", "ob_obyome.pdf", "О порядке, объеме и условиях оказания медицинской помощи")
+    convert("postanovlenie.rtf", "postanovlenie.pdf", "О государственной поддержке развития медицинской промышленности")