"""EuropaLex CSV Export — creates a zipped folder containing CSV + media files.""" import csv import shutil from pathlib import Path from typing import Any from export._constants import _PROJECT_ROOT, get_language_abbrev, sanitize_folder_name def export_csv_zip( cards: list[dict[str, Any]], scenario: str, cefr_level: str, target_language: str, ) -> str: """Export cards as a zipped folder containing CSV + media files. Creates a folder under {models_dir}/output/export/ with the following flat structure: {folder_name}/ cards.csv (CSV with 7 columns, one row per card) {scenario_slug}_{CEFR}_{LANG}_0.wav (copied from TTS output) {scenario_slug}_{CEFR}_{LANG}_0.png (copied from image generation) {folder_name}.zip (zipped archive of the above) CSV columns: scenario, cefr_level, target_language, english_text, translated_text, audio_filename, image_filename Media filenames are bare filenames in the export folder (e.g., 'ordering_coffee_A2_LV_0.wav'). Missing media files are silently skipped — CSV entries remain empty strings. Args: cards: List of card dicts with keys: 'text', 'translation', 'audio_path' (str or None), 'image_path' (str or None). scenario: Free-form scenario/topic string. cefr_level: CEFR level string (e.g., 'A2', 'B1'). target_language: Target language name (e.g., 'Latvian'). Returns: Absolute path to the generated .zip file. Raises: ValueError: If target_language is not in the supported mapping. RuntimeError: If zip creation fails. """ # Resolve output directory from project root export_base = _PROJECT_ROOT / ".local" / "models" / "output" / "export" export_base.mkdir(parents=True, exist_ok=True) # Build folder name scenario_slug = sanitize_folder_name(scenario) lang_abbrev = get_language_abbrev(target_language) folder_name = f"{scenario_slug}_{cefr_level}_{lang_abbrev}" export_dir = export_base / folder_name export_dir.mkdir(parents=True, exist_ok=True) # Copy media files and build CSV rows (flat folder — no subfolders) csv_path = export_dir / "cards.csv" with open(csv_path, 'w', newline='', encoding='utf-8') as csvfile: writer = csv.writer(csvfile, quoting=csv.QUOTE_ALL) # Header row writer.writerow([ 'scenario', 'cefr_level', 'target_language', 'english_text', 'translated_text', 'audio_filename', 'image_filename' ]) for i, card in enumerate(cards): audio_path = card.get('audio_path') image_path = card.get('image_path') # Build the common prefix: {scenario_slug}_{CEFR}_{LANG_ABBREV} base_name = f"{scenario_slug}_{cefr_level}_{lang_abbrev}" # Copy audio file if it exists — flat naming audio_filename = '' if audio_path and Path(audio_path).exists(): audio_dst = export_dir / f"{base_name}_{i}.wav" shutil.copy2(audio_path, audio_dst) audio_filename = f"{base_name}_{i}.wav" # Copy image file if it exists — flat naming image_filename = '' if image_path and Path(image_path).exists(): image_dst = export_dir / f"{base_name}_{i}.png" shutil.copy2(image_path, image_dst) image_filename = f"{base_name}_{i}.png" writer.writerow([ scenario, cefr_level, target_language, card.get('text', ''), card.get('translation', ''), audio_filename, image_filename, ]) # Create zip archive zip_path = shutil.make_archive( str(export_base / folder_name), 'zip', export_dir, ) return str(zip_path)