Bonne configuration des boutons de téléchargemetn
This commit is contained in:
Colin Maudry
+105
-52
@@ -6,14 +6,16 @@ from dash import Input, Output, State, callback, dcc, html, register_page
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from src.callbacks import get_top_org_table
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from src.figures import DataTable, point_on_map
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from src.utils import (
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add_links_in_dict,
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df,
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filter_table_data,
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format_number,
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format_values,
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get_annuaire_data,
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get_button_properties,
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get_default_hidden_columns,
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get_departement_region,
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meta_content,
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setup_table_columns,
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prepare_table_data,
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sort_table_data,
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)
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register_page(
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@@ -26,13 +28,22 @@ register_page(
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order=5,
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)
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# 21690123100011
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datatable = html.Div(
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className="marches_table",
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children=DataTable(
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dtid="titulaire_datatable",
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page_action="custom",
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filter_action="custom",
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sort_action="custom",
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page_size=10,
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hidden_columns=get_default_hidden_columns(page="titulaire"),
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),
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)
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layout = [
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dcc.Store(id="titulaire_data", storage_type="memory"),
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dcc.Location(id="url", refresh="callback-nav"),
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html.Div(
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className="container",
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children=[
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html.Div(
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className="wrapper",
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@@ -86,9 +97,9 @@ layout = [
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html.P(id="titulaire_acheteurs_differents"),
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html.Button(
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"Téléchargement au format Excel",
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id="btn-download-titulaire-data",
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id="btn-download-data-titulaire",
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),
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dcc.Download(id="download-titulaire-data"),
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dcc.Download(id="download-data-titulaire"),
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],
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),
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html.Div(className="org_map", id="titulaire_map"),
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@@ -103,7 +114,26 @@ layout = [
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),
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# récupérer les données de l'acheteur sur l'api annuaire
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html.H3("Derniers marchés publics remportés"),
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html.Div(id="titulaire_last_marches", children=""),
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dcc.Loading(
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overlay_style={"visibility": "visible", "filter": "blur(2px)"},
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id="loading-home",
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type="default",
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children=[
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html.Div(
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[
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html.P("lignes", id="titulaire_nb_rows"),
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html.Button(
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"Téléchargement désactivé au-delà de 65 000 lignes",
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id="btn-download-filtered-data-titulaire",
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disabled=True,
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),
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dcc.Download(id="titulaire-download-filtered-data"),
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],
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className="table-menu",
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),
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datatable,
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],
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),
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],
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),
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]
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@@ -178,68 +208,55 @@ def update_titulaire_stats(data):
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@callback(
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Output(component_id="titulaire_data", component_property="data"),
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Output("btn-download-data-titulaire", "disabled"),
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Output("btn-download-data-titulaire", "children"),
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Output("btn-download-data-titulaire", "title"),
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Input(component_id="url", component_property="pathname"),
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Input(component_id="titulaire_year", component_property="value"),
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)
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def get_titulaire_marches_data(url, titulaire_year: str) -> list[dict]:
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def get_titulaire_marches_data(url, titulaire_year: str) -> tuple:
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titulaire_siret = url.split("/")[-1]
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lff = df.lazy()
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lff = lff.filter(
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(pl.col("titulaire_id") == titulaire_siret)
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& (pl.col("titulaire_typeIdentifiant") == "SIRET")
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)
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lff = lff.select(
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"id",
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"uid",
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"objet",
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"dateNotification",
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"acheteur_id",
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"acheteur_nom",
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"distance",
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"montant",
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"codeCPV",
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"dureeMois",
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)
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if titulaire_year and titulaire_year != "Toutes":
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lff = lff.filter(
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pl.col("dateNotification").cast(pl.String).str.starts_with(titulaire_year)
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)
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lff = lff.sort(["dateNotification", "uid"], descending=True, nulls_last=True)
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lff = lff.fill_null("")
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data = lff.collect(engine="streaming").to_dicts()
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return data
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dff: pl.DataFrame = lff.collect(engine="streaming")
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download_disabled, download_text, download_title = get_button_properties(dff.height)
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data = dff.to_dicts()
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return data, download_disabled, download_text, download_title
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@callback(
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Output(component_id="titulaire_last_marches", component_property="children"),
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Input(component_id="titulaire_data", component_property="data"),
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Output("titulaire_datatable", "data"),
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Output("titulaire_datatable", "columns"),
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Output("titulaire_datatable", "tooltip_header"),
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Output("titulaire_datatable", "data_timestamp"),
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Output("titulaire_nb_rows", "children"),
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Output("btn-download-filtered-data-titulaire", "disabled"),
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Output("btn-download-filtered-data-titulaire", "children"),
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Output("btn-download-filtered-data-titulaire", "title"),
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Input("titulaire_data", "data"),
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Input("titulaire_datatable", "page_current"),
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Input("titulaire_datatable", "page_size"),
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Input("titulaire_datatable", "filter_query"),
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Input("titulaire_datatable", "sort_by"),
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State("titulaire_datatable", "data_timestamp"),
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)
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def get_last_marches_table(data) -> html.Div:
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dff = pl.DataFrame(data)
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dff = dff.cast(pl.String)
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dff = dff.fill_null("")
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dff = format_values(dff)
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columns, tooltip = setup_table_columns(
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dff, hideable=False, exclude=["acheteur_id", "id"]
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def get_last_marches_data(
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data, page_current, page_size, filter_query, sort_by, data_timestamp
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) -> list[dict]:
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return prepare_table_data(
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data, data_timestamp, filter_query, page_current, page_size, sort_by
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)
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data = dff.to_dicts()
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# Idéalement on utiliserait add_org_links(), mais le résultat attendu
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# est différent de home.py (Tableau)
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data = add_links_in_dict(data, "acheteur")
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table = html.Div(
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className="marches_table",
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children=DataTable(
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dtid="titulaire_data_table",
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data=data,
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page_action="native",
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filter_action="native",
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columns=columns,
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tooltip_header=tooltip,
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page_size=10,
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),
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)
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return table
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@callback(
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@@ -251,8 +268,8 @@ def get_top_acheteurs(data):
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@callback(
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Output("download-titulaire-data", "data"),
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Input("btn-download-titulaire-data", "n_clicks"),
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Output("download-data-titulaire", "data"),
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Input("btn-download-data-titulaire", "n_clicks"),
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State(component_id="titulaire_data", component_property="data"),
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State(component_id="titulaire_nom", component_property="children"),
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State(component_id="titulaire_year", component_property="value"),
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@@ -273,3 +290,39 @@ def download_titulaire_data(
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date = datetime.datetime.now().strftime("%Y-%m-%d_%H:%M:%S")
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return dcc.send_bytes(to_bytes, filename=f"decp_{titulaire_nom}_{date}.xlsx")
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@callback(
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Output("titulaire-download-filtered-data", "data"),
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State("titulaire_data", "data"),
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Input("btn-download-filtered-data-titulaire", "n_clicks"),
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State("titulaire_nom", "children"),
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State("titulaire_datatable", "filter_query"),
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State("titulaire_datatable", "sort_by"),
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State("titulaire_datatable", "hidden_columns"),
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prevent_initial_call=True,
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)
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def download_filtered_titulaire_data(
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data, n_clicks, titulaire_nom, filter_query, sort_by, hidden_columns: list = None
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):
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lff: pl.LazyFrame = pl.LazyFrame(
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data
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) # start from the full titulaire data, not from paginated table data
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# Les colonnes masquées sont supprimées
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if hidden_columns:
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lff = lff.drop(hidden_columns)
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if filter_query:
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lff = filter_table_data(lff, filter_query)
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if len(sort_by) > 0:
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lff = sort_table_data(lff, sort_by)
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def to_bytes(buffer):
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lff.collect(engine="streaming").write_excel(buffer, worksheet="DECP")
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date = datetime.datetime.now().strftime("%Y-%m-%d_%H:%M:%S")
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return dcc.send_bytes(
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to_bytes, filename=f"decp_filtrées_{titulaire_nom}_{date}.xlsx"
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)
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