82 lines
2.1 KiB
Python
82 lines
2.1 KiB
Python
import datetime
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import pandas as pd
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from flask import Flask, render_template, request
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from download_digital import construct_dataframe, get_bez_data
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app = Flask(__name__)
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def get_tables(url: str) -> tuple[pd.DataFrame, pd.DataFrame]:
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bez_data = get_bez_data(["bez_data_0", "bez_data_2"], url)
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df = construct_dataframe(
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bez_data=bez_data[0],
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grouped=False,
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special_tag="stud",
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)
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df_state = construct_dataframe(
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bez_data=bez_data[1], grouped=False, no_processing=True
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)
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return df, df_state
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@app.route("/")
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def tables(
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url: str = "https://beschaeftigtenbefragung.verdi.de/",
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):
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df, df_state = get_tables(url)
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df = df.sort_values(
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["Digitale Befragung", "Bundesland", "Bezirk"], ascending=[False, True, True]
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)
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df_state = df_state.sort_values("Landesbezirk")
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output_str = []
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def _print_as_html(df: pd.DataFrame):
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df = df.astype({"Digitale Befragung": "Int32"})
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with pd.option_context("display.max_rows", None):
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table = df.to_html(
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index_names=False,
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justify="left",
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index=False,
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classes="sortable dataframe",
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)
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tfoot = [
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" <tfoot>",
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" <td>Gesamt</td>",
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]
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for i in range(len(df.columns) - 2):
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tfoot.append(" <td/>")
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tfoot.extend(
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[
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f" <td>{df['Digitale Befragung'].sum()}</td>",
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" </tr>",
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" </tfoot>",
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]
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)
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tfoot = "\n".join(tfoot)
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idx = table.index("</table>")
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output_str.append(table[: idx - 1])
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output_str.append(tfoot)
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output_str.append(table[idx:])
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_print_as_html(df_state)
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_print_as_html(df)
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return render_template(
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"base.html",
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tables="\n".join(output_str),
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timestamp=datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
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)
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if __name__ == "__main__":
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app.run()
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