Execution en serveur gunicorn

app.py

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