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| | #!/usr/bin/env python3
| | """Search all exam PDFs for a string and output Obsidian links to matching pages.
| |
| | Usage:
| | python3 search_pdfs.py "visibilité minimale"
| | python3 search_pdfs.py "centre de gravité" --pdf VV
| | python3 search_pdfs.py "transponder" --no-fold
| | python3 search_pdfs.py "Solution question 45" --no-open
| | """
| |
| | import os
| | import re
| | import subprocess
| | import sys
| | import tempfile
| | import unicodedata
| |
| | try:
| | import typer
| | from rich.console import Console
| | from rich.table import Table
| | from rich.panel import Panel
| | from rich.markdown import Markdown
| | except ImportError:
| | print("Installing dependencies...")
| | subprocess.check_call([sys.executable, "-m", "pip", "install", "typer", "rich", "PyPDF2", "-q"])
| | import typer
| | from rich.console import Console
| | from rich.table import Table
| | from rich.panel import Panel
| | from rich.markdown import Markdown
| |
| | from PyPDF2 import PdfReader
| |
| | app = typer.Typer(help="Search exam PDFs for a string and get Obsidian links.")
| | console = Console()
| |
| | SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
| |
| | PDFS = {
| | "S1C": "Examen Blanc/Exa Blanc Série_1_Communes.pdf",
| | "S1S": "Examen Blanc/Exa Blanc Série_1_Specifiques.pdf",
| | "S2": "Examen Blanc/Exa Blanc Série_2.pdf",
| | "S3": "Examen Blanc/Exa Blanc Série_3.pdf",
| | "VV": "VV/Questionnaire toutes branches VV.pdf",
| | }
| |
| |
| | def strip_accents(s: str) -> str:
| | return "".join(
| | c for c in unicodedata.normalize("NFD", s) if unicodedata.category(c) != "Mn"
| | )
| |
| |
| | def search(query: str, pdf_filter: str | None = None, fold_accents: bool = True):
| | results = []
| | targets = {pdf_filter: PDFS[pdf_filter]} if pdf_filter and pdf_filter in PDFS else PDFS
| |
| | q = query.lower()
| | q_folded = strip_accents(q)
| |
| | for code, fname in targets.items():
| | path = os.path.join(SCRIPT_DIR, fname)
| | if not os.path.exists(path):
| | console.print(f"[yellow]⚠ {fname} not found[/yellow]", stderr=True)
| | continue
| |
| | reader = PdfReader(path)
| | for page_idx, page in enumerate(reader.pages):
| | text = page.extract_text() or ""
| | page_num = page_idx + 1
| |
| | text_lower = text.lower()
| | text_folded = strip_accents(text_lower) if fold_accents else text_lower
| | search_text = q_folded if fold_accents else q
| |
| | if search_text in text_folded:
| | pos = text_folded.find(search_text)
| |
| | # Extract the full question block around the match.
| | # Walk backwards to find question start (line after "Solution question" or numbered Q)
| | # Walk forwards to find "Solution question N : X" that ends this question.
| | lines = text.split("\n")
| | match_char = 0
| | match_line = 0
| | for li, line in enumerate(lines):
| | if match_char + len(line) >= pos:
| | match_line = li
| | break
| | match_char += len(line) + 1
| |
| | # Find question start: scan backwards for blank-line gap or Solution line
| | q_start = match_line
| | for j in range(match_line - 1, -1, -1):
| | l = lines[j].strip()
| | if l.startswith("Solution question") or re.match(r"^\d{2,3}\s*$", l):
| | q_start = j + 1
| | break
| | # Skip blank lines at boundary
| | if not l and j < match_line - 2:
| | q_start = j + 1
| | break
| |
| | # Find question end: scan forwards for "Solution question"
| | q_end = len(lines)
| | for j in range(match_line + 1, len(lines)):
| | l = lines[j].strip()
| | if l.startswith("Solution question"):
| | q_end = j + 1 # include the Solution line
| | break
| |
| | question_block = "\n".join(
| | l for l in lines[q_start:q_end] if l.strip()
| | ).strip()
| |
| | # Short context for the table
| | context = text[max(0, pos - 40):min(len(text), pos + len(search_text) + 40)]
| | context = context.replace("\n", " ").strip()
| |
| | results.append({
| | "pdf": code,
| | "fname": fname,
| | "page": page_num,
| | "context": context,
| | "question": question_block,
| | })
| |
| | return results
| |
| |
| | @app.command()
| | def main(
| | query: str = typer.Argument(..., help="Search string"),
| | pdf: str = typer.Option(None, "--pdf", "-p", help="Limit to one PDF: S1C, S1S, S2, S3, VV"),
| | no_fold: bool = typer.Option(False, "--no-fold", help="Don't fold accents (é≠e)"),
| | no_open: bool = typer.Option(False, "--no-open", help="Don't open results in viewer"),
| | ):
| | """Search all exam PDFs for a string and output Obsidian links."""
| |
| | if pdf and pdf not in PDFS:
| | console.print(f"[red]Unknown PDF code: {pdf}. Use: {', '.join(PDFS.keys())}[/red]")
| | raise typer.Exit(1)
| |
| | with console.status(f"[bold blue]Searching for \"{query}\"...[/bold blue]"):
| | results = search(query, pdf_filter=pdf, fold_accents=not no_fold)
| |
| | if not results:
| | console.print(f"[yellow]No matches for \"{query}\"[/yellow]")
| | raise typer.Exit(0)
| |
| | # Rich table output
| | console.print()
| | table = Table(title=f"[bold]{len(results)} match(es) for \"{query}\"[/bold]", show_lines=True)
| | table.add_column("Source", style="cyan", width=8)
| | table.add_column("Page", style="green", justify="right", width=5)
| | table.add_column("Context", style="white")
| | table.add_column("Obsidian Link", style="blue")
| |
| | md_lines = [f"# Search: \"{query}\"\n", f"{len(results)} match(es)\n"]
| |
| | for r in results:
| | link = f"[{r['pdf']} p.{r['page']}]({r['fname'].replace(' ', '%20')}#page={r['page']})"
| | table.add_row(r["pdf"], str(r["page"]), f"…{r['context']}…", link)
| | md_lines.append(f"### {link}\n")
| | md_lines.append(f"> {r['question'].replace(chr(10), chr(10) + '> ')}\n")
| |
| | console.print(table)
| |
| | # Write MD and open
| | if not no_open:
| | md_content = "\n".join(md_lines)
| | tmp = tempfile.NamedTemporaryFile(
| | mode="w", suffix=".md", prefix="search_results_",
| | dir=SCRIPT_DIR, delete=False
| | )
| | tmp.write(md_content)
| | tmp.close()
| | console.print(f"\n[dim]Results saved to {os.path.basename(tmp.name)}[/dim]")
| | subprocess.run(["open", tmp.name])
| |
| |
| | if __name__ == "__main__":
| | app()
|
|
