Classe partagée pour la génération de datatables #56
This commit is contained in:
Colin Maudry
+5
-34
@@ -1,6 +1,7 @@
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import polars as pl
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from dash import dash_table, html
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from dash import html
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from src.figures import DataTable
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from utils import add_links_in_dict, format_values, setup_table_columns
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@@ -15,7 +16,7 @@ def get_top_org_table(data, org_type: str):
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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.sort(by="montant", descending=True, nulls_last=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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@@ -25,41 +26,11 @@ def get_top_org_table(data, org_type: str):
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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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return DataTable(
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dtid=f"top10_{org_type}",
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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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@@ -1,4 +1,5 @@
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import json
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from typing import Literal
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import plotly.express as px
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import polars as pl
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@@ -192,3 +193,69 @@ def point_on_map(lat, lon):
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graph = dcc.Graph(id="map", figure=fig)
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return graph
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class DataTable(dash_table.DataTable):
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def __init__(
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self,
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dtid: str,
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hidden_columns: list = None,
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data=None,
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columns: list = None,
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page_size: int = 20,
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page_action: Literal["native", "custom", "none"] = "native",
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sort_action: Literal["native", "custom", "none"] = "native",
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filter_action: Literal["native", "custom", "none"] = "native",
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**kwargs,
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):
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# Styles de base
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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": "18px",
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"whiteSpace": "normal",
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},
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{
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"if": {"column_id": "acheteur_nom"},
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"minWidth": "250px",
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"textAlign": "left",
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"overflow": "hidden",
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"lineHeight": "18px",
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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": "250px",
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"textAlign": "left",
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"overflow": "hidden",
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"lineHeight": "18px",
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"whiteSpace": "normal",
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},
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]
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# Initialisation de la classe parente avec les arguments
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super().__init__(
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id=dtid,
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data=data,
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columns=columns,
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cell_selectable=False,
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page_size=page_size,
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filter_action=filter_action,
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page_action=page_action,
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filter_options={"case": "insensitive", "placeholder_text": "Filtrer..."},
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sort_action=sort_action,
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sort_mode="multi",
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sort_by=[],
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row_deletable=False,
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page_current=0,
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style_cell_conditional=style_cell_conditional,
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data_timestamp=0,
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markdown_options={"html": True},
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tooltip_duration=8000,
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tooltip_delay=350,
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hidden_columns=hidden_columns,
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**kwargs, # Possibilité de remplacer des arguments
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)
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+4
-27
@@ -1,10 +1,10 @@
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import datetime
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import polars as pl
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from dash import Input, Output, State, callback, dash_table, dcc, html, register_page
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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 point_on_map
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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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@@ -227,37 +227,14 @@ def get_last_marches_table(data) -> html.Div:
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table = html.Div(
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className="marches_table",
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id="acheteur_datatable",
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children=dash_table.DataTable(
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children=DataTable(
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dtid="acheteur_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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filter_action="native",
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filter_options={"case": "insensitive", "placeholder_text": "Filtrer..."},
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columns=columns,
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tooltip_header=tooltip,
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tooltip_duration=8000,
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tooltip_delay=350,
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cell_selectable=False,
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page_size=10,
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style_cell_conditional=[
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{
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"if": {"column_id": "objet"},
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"minWidth": "300px",
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"textAlign": "left",
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"overflow": "hidden",
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"lineHeight": "18px",
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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": "18px",
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"whiteSpace": "normal",
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},
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],
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),
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)
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return table
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+5
-40
@@ -2,8 +2,9 @@ import os
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from datetime import datetime
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import polars as pl
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from dash import Input, Output, State, callback, dash_table, dcc, html, register_page
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from dash import Input, Output, State, callback, dcc, html, register_page
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from src.figures import DataTable
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from src.utils import (
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add_links,
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add_resource_link,
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@@ -35,48 +36,12 @@ register_page(
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datatable = html.Div(
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className="marches_table",
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children=dash_table.DataTable(
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cell_selectable=False,
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id="table",
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children=DataTable(
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dtid="table",
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page_size=20,
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page_current=0,
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page_action="custom",
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filter_action="custom",
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filter_options={"case": "insensitive", "placeholder_text": "Filtrer..."},
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sort_action="custom",
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sort_mode="multi",
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sort_by=[],
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row_deletable=False,
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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": "18px",
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"whiteSpace": "normal",
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},
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{
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"if": {"column_id": "acheteur_nom"},
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"minWidth": "250px",
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"textAlign": "left",
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"overflow": "hidden",
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"lineHeight": "18px",
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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": "250px",
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"textAlign": "left",
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"overflow": "hidden",
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"lineHeight": "18px",
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"whiteSpace": "normal",
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},
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],
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data_timestamp=0,
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markdown_options={"html": True},
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tooltip_duration=8000,
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tooltip_delay=350,
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hidden_columns=get_default_hidden_columns(schema),
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),
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)
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@@ -244,7 +209,7 @@ def update_table(page_current, page_size, filter_query, sort_by, data_timestamp)
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prevent_initial_call=True,
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)
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def download_data(n_clicks, filter_query, sort_by, hidden_columns: list = None):
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lff: pl.LazyFrame = df # start from the original data
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lff: pl.LazyFrame = df.lazy() # start from the original data
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# Les colonnes masquées sont supprimées
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if hidden_columns:
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+4
-27
@@ -1,10 +1,10 @@
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import datetime
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import polars as pl
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from dash import Input, Output, State, callback, dash_table, dcc, html, register_page
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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 point_on_map
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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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@@ -239,37 +239,14 @@ def get_last_marches_table(data) -> html.Div:
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table = html.Div(
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className="marches_table",
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id="titulaire_datatable",
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children=dash_table.DataTable(
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children=DataTable(
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dtid="titulaire_data_table",
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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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filter_action="native",
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filter_options={"case": "insensitive", "placeholder_text": "Filtrer..."},
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columns=columns,
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tooltip_header=tooltip,
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tooltip_duration=8000,
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tooltip_delay=350,
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cell_selectable=False,
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page_size=10,
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style_cell_conditional=[
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{
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"if": {"column_id": "objet"},
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"minWidth": "300px",
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"textAlign": "left",
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"overflow": "hidden",
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"lineHeight": "18px",
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"whiteSpace": "normal",
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},
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{
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"if": {"column_id": "acheteur_nom"},
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"maxWidth": "400px",
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"textAlign": "left",
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"overflow": "hidden",
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"lineHeight": "18px",
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"whiteSpace": "normal",
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},
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],
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),
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)
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return table
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