data/nota/create.py

from collections import defaultdict
from io import BytesIO
from pathlib import Path
import requests
from zipfile import ZipFile

import pandas as pd

URL = "https://sprogtek-ressources.digst.govcloud.dk/nota/Nota-txt_only.zip"

column_order = [
    "text",
    "source",
    "id",
    "added",
    "created",
    "license",
    "domain",
    "metadata",
]


def convert_sample(id: str, text: str) -> dict:
    year = id[4:8]
    new_example = dict(
        text=text,
        id=id.split("_")[0],
        source="nota",
        domain="Readaloud",
        license="Creative Commons Legal Code\n\nCC0 1.0 Universal",
        added="2025-02-03",
        created=f"{year}-01-01, {year}-12-31",  # assuming v2018
        metadata={"source-pretty": "Nota lyd- og tekstdata"},
    )

    return new_example


def download_and_process_zip(url):
    response = requests.get(url)
    response.raise_for_status()  # Ensure we got a valid response

    with ZipFile(BytesIO(response.content), "r") as z:
        file_groups = defaultdict(list)

        # Read all text files from the ZIP
        for file_name in z.namelist():
            if file_name.endswith(".txt"):  # Process only text files
                prefix = file_name.split("/")[1].split("_")[0]
                with z.open(file_name) as f:
                    file_groups[prefix].append(f.read().decode("utf-8"))

        # Combine files with the same prefix
        combined_files = {
            f"{prefix}_combined.txt": "\n".join(contents)
            for prefix, contents in file_groups.items()
        }

        return combined_files  # Dictionary with combined file names and contents


def main():
    combined_results = download_and_process_zip(URL)
    dataset = []
    for filename, content in combined_results.items():
        sample = convert_sample(filename, content)
        dataset.append(sample)

    df = pd.DataFrame(dataset)
    df = df.drop_duplicates(keep="first", subset=["text"])

    save_path = Path(__file__).parent / "nota.parquet"
    df.to_parquet(save_path)


if __name__ == "__main__":
    main()