Colin Maudry
58 lines
1.6 KiB
Python
58 lines
1.6 KiB
Python
from dash import Dash, html, dcc, callback, Output, Input, dash_table
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import plotly.express as px
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import polars as pl
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import dash_bootstrap_components as dbc
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df = pl.read_ipc("/home/colin/git/decp-processing/dist/decp.arrow")
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app = Dash(external_stylesheets=[dbc.themes.UNITED])
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server = app.server
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app.layout = [
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html.Div(
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[
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"Recherche (acheteur, titulaire, objet) : ",
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dcc.Input(id="search", value="", type="text"),
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]
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),
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html.H1(children="decp.info", style={"textAlign": "center"}),
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dash_table.DataTable(
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id="table",
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data=df.to_dicts(),
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page_size=20,
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page_current=0,
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page_action="native",
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filter_action="native",
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columns=[
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{"name": i, "id": i, "deletable": True, "selectable": True}
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for i in df.columns
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],
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selected_columns=[],
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selected_rows=[],
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sort_action="native",
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sort_mode="multi",
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),
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]
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@callback(
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Output(component_id="table", component_property="data", allow_duplicate=True),
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Input(component_id="search", component_property="value"),
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prevent_initial_call=True,
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)
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def global_search(text):
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new_df = df
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new_df = new_df.filter(pl.col("objet").str.contains("(?i)" + text))
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return new_df.to_dicts()
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@callback(
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Output("table", "data"), Input("table", "page_current"), Input("table", "page_size")
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)
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def update_table(page_current, page_size):
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return df[page_current * page_size : (page_current + 1) * page_size].to_dicts()
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if __name__ == "__main__":
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app.run(debug=True)
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