Marius Mutu
771be6ccfd
Adaugă al 4-lea nivel de sumarizare: caiete de facilitator cu corelații
cross-disciplinare (IFS, CNV, attachment theory, Brené Brown, neuroștiință),
exerciții cu script complet, și ghiduri de aplicare cu secvențe de cadrare
pentru 4 contexte (grup NLP, cercetași, CNV, self-coaching).
Fișiere noi (în summaries/, ne-tracked de .gitignore):
- 5 caiete: MODUL{1-5}_{CONCEPT}.md
- 5 aplicări: MODUL{1-5}_{CONCEPT}_APLICARI.md
- 5 cross-modul: INDEX_EXERCITII, HARTA_CONEXIUNI, GLOSAR_CREDINTE,
GHID_FACILITARE, METAFORE_POVESTI
Tracked:
- PROMPT_EXPERIENTIAL.md: prompt reutilizabil pentru M6
- TODOS.md: instrucțiuni complete pentru M6 (run.bat 6 + sumarizări + caiet)
- md_to_pdf.py: convertor markdown→PDF pentru summaries
- PROCES_SUMARIZARE.md: documentație proces sumarizare standard
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
240 lines
4.8 KiB
Python
240 lines
4.8 KiB
Python
#!/usr/bin/env python3
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"""Convert Markdown summaries to print-friendly PDFs."""
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import argparse
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import glob
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import os
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import sys
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import markdown2
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from weasyprint import HTML
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SUMMARIES_DIR = os.path.join(os.path.dirname(os.path.abspath(__file__)), "summaries")
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PDF_DIR = os.path.join(SUMMARIES_DIR, "pdf")
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CSS = """
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@page {
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size: A4;
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margin: 2cm;
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@bottom-right {
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content: counter(page);
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font-size: 9pt;
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color: #666;
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}
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}
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body {
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font-family: "Segoe UI", "Noto Sans", "DejaVu Sans", sans-serif;
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font-size: 11pt;
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line-height: 1.5;
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color: #111;
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}
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h1 {
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font-size: 18pt;
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font-weight: bold;
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margin-top: 0.5em;
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margin-bottom: 0.3em;
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border-bottom: 1.5pt solid #333;
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padding-bottom: 0.2em;
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page-break-before: auto;
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}
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h1:first-of-type {
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page-break-before: avoid;
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}
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h2 {
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font-size: 14pt;
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font-weight: bold;
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margin-top: 1em;
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margin-bottom: 0.3em;
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color: #222;
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}
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h3 {
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font-size: 12pt;
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font-weight: bold;
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margin-top: 0.8em;
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margin-bottom: 0.2em;
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color: #333;
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}
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p {
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margin: 0.4em 0;
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}
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ul, ol {
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margin: 0.3em 0;
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padding-left: 1.5em;
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}
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li {
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margin: 0.15em 0;
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}
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strong {
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font-weight: bold;
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}
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em {
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font-style: italic;
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}
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hr {
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border: none;
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border-top: 0.5pt solid #999;
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margin: 1em 0;
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}
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table {
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width: 100%;
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border-collapse: collapse;
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margin: 0.5em 0;
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font-size: 10pt;
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page-break-inside: avoid;
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}
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th {
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background-color: #e8e8e8;
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font-weight: bold;
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text-align: left;
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padding: 5pt 8pt;
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border: 0.5pt solid #bbb;
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}
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td {
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padding: 4pt 8pt;
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border: 0.5pt solid #ccc;
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}
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tr:nth-child(even) td {
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background-color: #f5f5f5;
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}
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pre {
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background-color: #f5f5f5;
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border: 0.5pt solid #ccc;
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border-radius: 3pt;
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padding: 8pt 10pt;
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font-family: "Consolas", "DejaVu Sans Mono", monospace;
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font-size: 9pt;
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line-height: 1.35;
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white-space: pre-wrap;
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word-wrap: break-word;
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page-break-inside: avoid;
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}
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code {
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font-family: "Consolas", "DejaVu Sans Mono", monospace;
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font-size: 9.5pt;
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background-color: #f0f0f0;
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padding: 1pt 3pt;
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border-radius: 2pt;
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}
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pre code {
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background: none;
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padding: 0;
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}
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blockquote {
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border-left: 2pt solid #999;
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margin: 0.5em 0;
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padding: 0.3em 0 0.3em 1em;
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color: #333;
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}
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"""
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def md_to_pdf(md_path, pdf_path):
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"""Convert a single Markdown file to PDF."""
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with open(md_path, "r", encoding="utf-8") as f:
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md_text = f.read()
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html_body = markdown2.markdown(
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md_text,
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extras=["tables", "fenced-code-blocks", "header-ids", "break-on-newline"],
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)
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html_doc = f"""<!DOCTYPE html>
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<html lang="ro">
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<head>
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<meta charset="utf-8">
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<style>{CSS}</style>
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</head>
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<body>
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{html_body}
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</body>
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</html>"""
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HTML(string=html_doc).write_pdf(pdf_path)
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print(f" {os.path.basename(md_path)} -> {os.path.basename(pdf_path)}")
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def find_files(modules=None):
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"""Find MODUL*_*.md files, optionally filtered by module numbers."""
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pattern = os.path.join(SUMMARIES_DIR, "MODUL*_*.md")
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files = sorted(glob.glob(pattern))
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if modules:
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filtered = []
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for f in files:
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basename = os.path.basename(f)
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# Extract module number from MODUL{N}_...
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try:
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num = int(basename.split("_")[0].replace("MODUL", ""))
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if num in modules:
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filtered.append(f)
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except ValueError:
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continue
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files = filtered
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return files
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def parse_modules(spec):
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"""Parse module spec like '1-3' or '2,4,5' into a set of ints."""
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modules = set()
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for part in spec.split(","):
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part = part.strip()
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if "-" in part:
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start, end = part.split("-", 1)
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modules.update(range(int(start), int(end) + 1))
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else:
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modules.add(int(part))
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return modules
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def main():
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parser = argparse.ArgumentParser(description="Convert MD summaries to PDF")
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parser.add_argument("files", nargs="*", help="Specific MD files to convert")
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parser.add_argument(
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"--modules", "-m", help="Module filter, e.g. '1-3' or '2,4,5'"
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)
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args = parser.parse_args()
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os.makedirs(PDF_DIR, exist_ok=True)
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if args.files:
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md_files = [os.path.abspath(f) for f in args.files]
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else:
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modules = parse_modules(args.modules) if args.modules else None
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md_files = find_files(modules)
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if not md_files:
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print("No MD files found to convert.")
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sys.exit(1)
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print(f"Converting {len(md_files)} file(s) to PDF...")
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for md_path in md_files:
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basename = os.path.splitext(os.path.basename(md_path))[0]
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pdf_path = os.path.join(PDF_DIR, basename + ".pdf")
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md_to_pdf(md_path, pdf_path)
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print(f"Done. PDFs saved to {PDF_DIR}")
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if __name__ == "__main__":
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main()
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