66 lines
2.0 KiB
Python
66 lines
2.0 KiB
Python
import polars as pl
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from dash import dash_table, html
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from utils import add_links_in_dict, format_values, setup_table_columns
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def get_top_org_table(data, org_type: str):
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dff = pl.DataFrame(data)
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if dff.height == 0:
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return html.Div()
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dff = dff.select(
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["uid", f"{org_type}_id", f"{org_type}_nom", "distance", "montant"]
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)
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dff_nb = dff.group_by(f"{org_type}_id", f"{org_type}_nom", "distance").agg(
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pl.len().alias("Attributions"), pl.sum("montant").alias("montant")
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)
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dff_nb = dff_nb.sort(by="montant", descending=True)
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dff_nb = dff_nb.cast(pl.String)
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dff_nb = dff_nb.fill_null("")
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dff_nb = format_values(dff_nb)
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columns, tooltip = setup_table_columns(
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dff_nb, hideable=False, exclude=[f"{org_type}_id"]
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)
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data = dff_nb.to_dicts()
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data = add_links_in_dict(data, f"{org_type}")
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return dash_table.DataTable(
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data=data,
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markdown_options={"html": True},
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page_action="native",
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page_size=10,
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columns=columns,
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cell_selectable=False,
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tooltip_header=tooltip,
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style_cell_conditional=[
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{
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"if": {"column_id": "objet"},
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"minWidth": "350px",
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"textAlign": "left",
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"overflow": "hidden",
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"lineHeight": "14px",
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"whiteSpace": "normal",
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"fontSize": "85%",
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},
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{
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"if": {"column_id": "acheteur_nom"},
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"minWidth": "200px",
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"textAlign": "left",
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"overflow": "hidden",
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"lineHeight": "16px",
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# "fontSize": "85%",
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"whiteSpace": "normal",
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},
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{
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"if": {"column_id": "titulaire_nom"},
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"minWidth": "200px",
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"textAlign": "left",
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"overflow": "hidden",
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"lineHeight": "16px",
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"whiteSpace": "normal",
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# "fontSize": "85%",
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},
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],
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)
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