import datetime

import pandas as pd
from flask import Flask, render_template, request
from flask_caching import Cache

from download_digital import construct_dataframe, get_bez_data

config = {
    "CACHE_TYPE": "FileSystemCache",
    "CACHE_DEFAULT_TIMEOUT": 300,
    "CACHE_THRESHOLD": 1000,
    "CACHE_DIR": "cache",
}

app = Flask(__name__)
app.config.from_mapping(config)
cache = Cache(app)


def get_tables(url: str) -> tuple[pd.DataFrame, pd.DataFrame]:
    bez_data = get_bez_data(["bez_data_0", "bez_data_2"], url)

    df = construct_dataframe(
        bez_data=bez_data[0],
        grouped=False,
        special_tag="stud",
    )

    df_state = construct_dataframe(
        bez_data=bez_data[1], grouped=False, no_processing=True
    )

    return df, df_state


@app.route("/")
@cache.cached(timeout=50)
def tables(
    url: str = "https://beschaeftigtenbefragung.verdi.de/",
):
    df, df_state = get_tables(url)

    df = df.sort_values(
        ["Digitale Befragung", "Bundesland", "Bezirk"], ascending=[False, True, True]
    )

    df_state = df_state.sort_values("Landesbezirk")

    output_str = []

    def _print_as_html(df: pd.DataFrame):
        df = df.astype({"Digitale Befragung": "Int32"})
        with pd.option_context("display.max_rows", None):
            table = df.to_html(
                index_names=False,
                justify="left",
                index=False,
                classes="sortable dataframe",
            )

            tfoot = [
                "  <tfoot>",
                "      <td>Gesamt</td>",
            ]
            for i in range(len(df.columns) - 2):
                tfoot.append("      <td/>")
            tfoot.extend(
                [
                    f"      <td>{df['Digitale Befragung'].sum()}</td>",
                    "    </tr>",
                    "  </tfoot>",
                ]
            )
            tfoot = "\n".join(tfoot)
            idx = table.index("</table>")
            output_str.append(table[: idx - 1])
            output_str.append(tfoot)
            output_str.append(table[idx:])

    _print_as_html(df_state)
    _print_as_html(df)

    return render_template(
        "base.html",
        tables="\n".join(output_str),
        timestamp=datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
    )


if __name__ == "__main__":
    app.run()