Ajout d'un menu de navigation
This commit is contained in:
Colin Maudry
+19
-85
@@ -1,101 +1,35 @@
|
||||
from dash import Dash, html, dcc, callback, Output, Input, dash_table
|
||||
import polars as pl
|
||||
from dash import Dash, html, page_container, page_registry, dcc
|
||||
import dash_bootstrap_components as dbc
|
||||
|
||||
df = pl.read_parquet("/home/colin/git/decp-processing/dist/2025-04-21/decp.parquet")
|
||||
|
||||
app = Dash(external_stylesheets=[dbc.themes.UNITED], title="decp.info")
|
||||
app = Dash(external_stylesheets=[dbc.themes.UNITED], title="decp.info", use_pages=True)
|
||||
server = app.server
|
||||
|
||||
datatable = dash_table.DataTable(
|
||||
cell_selectable=False,
|
||||
id="table",
|
||||
data=df.to_dicts(),
|
||||
page_size=20,
|
||||
page_current=0,
|
||||
page_action="native",
|
||||
filter_action="native",
|
||||
filter_options={"case": "insensitive", "placeholder_text": "Filtrer..."},
|
||||
columns=[
|
||||
{"name": i, "id": i, "deletable": True, "selectable": False} for i in df.columns
|
||||
],
|
||||
selected_columns=[],
|
||||
selected_rows=[],
|
||||
sort_action="native",
|
||||
sort_mode="multi",
|
||||
export_format="xlsx",
|
||||
export_columns="visible",
|
||||
export_headers="ids",
|
||||
style_cell_conditional=[
|
||||
{
|
||||
"if": {"column_id": "objet"},
|
||||
"minWidth": "300px",
|
||||
"textAlign": "left",
|
||||
"overflow": "hidden",
|
||||
"lineHeight": "14px",
|
||||
"whiteSpace": "normal",
|
||||
},
|
||||
],
|
||||
)
|
||||
|
||||
app.layout = [
|
||||
html.H1(children="decp.info"),
|
||||
html.Details(
|
||||
children=[
|
||||
html.Summary("Utilisation"),
|
||||
dcc.Markdown(
|
||||
"""
|
||||
|
||||
**Filtres**
|
||||
|
||||
Vous pouvez appliquer un filtre pour chaque colonne en entrant du texte sous le nom de la colonne, puis en tapant sur `Entrée`.
|
||||
|
||||
- Champs textuels : la recherche est insensible à la casse (majuscules/minuscules).
|
||||
- Champs numériques : possibilité d'ajouter < ou > devant le chiffre recherché pour chercher des valeurs inférieures ou supérieur.
|
||||
|
||||
**Télécharger le résultat**
|
||||
|
||||
Vous pouvez télécharger le résultat de vos filtres et tris en cliquant sur Télécharger au format Excel.
|
||||
|
||||
Les colonnes supprimées seront absentes du fichier téléchargé.
|
||||
|
||||
Si vous téléchargez un volume important de données, il se peut que vous attendiez quelques minutes avant le début du téléchargement.
|
||||
"""
|
||||
),
|
||||
],
|
||||
id="instructions",
|
||||
),
|
||||
html.Div(
|
||||
[
|
||||
"Recherche dans objet : ",
|
||||
dcc.Input(id="search", value="", type="text"),
|
||||
]
|
||||
),
|
||||
dcc.Loading(
|
||||
overlay_style={"visibility": "visible", "filter": "blur(2px)"},
|
||||
id="loading-1",
|
||||
type="default",
|
||||
children=datatable,
|
||||
html.H1("decp.info"),
|
||||
html.Div(
|
||||
[
|
||||
dcc.Link(page["name"], href=page["relative_path"], className="nav")
|
||||
for page in page_registry.values()
|
||||
]
|
||||
),
|
||||
],
|
||||
className="navbar",
|
||||
),
|
||||
page_container,
|
||||
]
|
||||
|
||||
|
||||
@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")
|
||||
# Output(component_id="table", component_property="data", allow_duplicate=True),
|
||||
# Input(component_id="search", component_property="value"),
|
||||
# prevent_initial_call=True,
|
||||
# )
|
||||
# def update_table(page_current, page_size):
|
||||
# return df[page_current * page_size : (page_current + 1) * page_size].to_dicts()
|
||||
# def global_search(text):
|
||||
# new_df = df
|
||||
# new_df = new_df.filter(pl.col("objet").str.contains("(?i)" + text))
|
||||
# return new_df.to_dicts()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
|
||||
@@ -17,3 +17,44 @@ input.dash-filter--case {
|
||||
td[data-dash-column="objet"] {
|
||||
font-size: 85%;
|
||||
}
|
||||
|
||||
.dash-table-container
|
||||
.dash-spreadsheet-container
|
||||
.dash-spreadsheet-inner
|
||||
th.dash-header {
|
||||
background-color: #666986;
|
||||
color: white;
|
||||
}
|
||||
|
||||
.dash-table-container
|
||||
.dash-spreadsheet-container
|
||||
.dash-spreadsheet-inner
|
||||
th.dash-filter {
|
||||
background-color: #d0d2e6;
|
||||
}
|
||||
|
||||
#header > *,
|
||||
.dash-spreadsheet-menu button.export {
|
||||
margin: 0 0 20px 20px;
|
||||
}
|
||||
|
||||
.navbar {
|
||||
width: 100%;
|
||||
height: 100px;
|
||||
padding: 10px;
|
||||
}
|
||||
|
||||
a.nav {
|
||||
float: left;
|
||||
margin-right: 40px;
|
||||
font-size: 120%;
|
||||
}
|
||||
|
||||
h1 {
|
||||
float: left;
|
||||
width: 50%;
|
||||
}
|
||||
|
||||
h3 {
|
||||
display: inline;
|
||||
}
|
||||
|
||||
@@ -0,0 +1,9 @@
|
||||
from dash import register_page, html, page_registry
|
||||
|
||||
title = "À propos"
|
||||
|
||||
register_page(
|
||||
__name__, path="/a-propos", title=f"decp.info - {title}", name=title, order=3
|
||||
)
|
||||
|
||||
layout = [html.H2(title)]
|
||||
@@ -0,0 +1,95 @@
|
||||
from dash import (
|
||||
Dash,
|
||||
html,
|
||||
dcc,
|
||||
callback,
|
||||
Output,
|
||||
Input,
|
||||
dash_table,
|
||||
page_container,
|
||||
register_page,
|
||||
)
|
||||
from dotenv import load_dotenv
|
||||
import os
|
||||
import polars as pl
|
||||
|
||||
load_dotenv()
|
||||
|
||||
df = pl.read_parquet(os.getenv("DATA_FILE_PARQUET_PATH"))
|
||||
|
||||
title = "Tableau"
|
||||
register_page(__name__, path="/", title=f"decp.info - {title}", name=title, order=1)
|
||||
|
||||
datatable = dash_table.DataTable(
|
||||
cell_selectable=False,
|
||||
id="table",
|
||||
data=df.to_dicts(),
|
||||
page_size=20,
|
||||
page_current=0,
|
||||
page_action="native",
|
||||
filter_action="native",
|
||||
filter_options={"case": "insensitive", "placeholder_text": "Filtrer..."},
|
||||
columns=[
|
||||
{"name": i, "id": i, "deletable": True, "selectable": False} for i in df.columns
|
||||
],
|
||||
selected_columns=[],
|
||||
selected_rows=[],
|
||||
sort_action="native",
|
||||
sort_mode="multi",
|
||||
export_format="xlsx",
|
||||
export_columns="visible",
|
||||
export_headers="ids",
|
||||
style_cell_conditional=[
|
||||
{
|
||||
"if": {"column_id": "objet"},
|
||||
"minWidth": "300px",
|
||||
"textAlign": "left",
|
||||
"overflow": "hidden",
|
||||
"lineHeight": "14px",
|
||||
"whiteSpace": "normal",
|
||||
},
|
||||
],
|
||||
)
|
||||
|
||||
layout = [
|
||||
html.Div(
|
||||
html.Details(
|
||||
children=[
|
||||
html.Summary(html.H3("Utilisation")),
|
||||
dcc.Markdown(
|
||||
"""
|
||||
|
||||
**Filtres**
|
||||
|
||||
Vous pouvez appliquer un filtre pour chaque colonne en entrant du texte sous le nom de la colonne, puis en tapant sur `Entrée`.
|
||||
|
||||
- Champs textuels : la recherche est insensible à la casse (majuscules/minuscules).
|
||||
- Champs numériques : possibilité d'ajouter < ou > devant le chiffre recherché pour chercher des valeurs inférieures ou supérieur.
|
||||
|
||||
**Télécharger le résultat**
|
||||
|
||||
Vous pouvez télécharger le résultat de vos filtres et tris en cliquant sur Télécharger au format Excel.
|
||||
|
||||
Les colonnes supprimées seront absentes du fichier téléchargé.
|
||||
|
||||
Si vous téléchargez un volume important de données, il se peut que vous attendiez quelques minutes avant le début du téléchargement.
|
||||
"""
|
||||
),
|
||||
],
|
||||
id="instructions",
|
||||
),
|
||||
id="header",
|
||||
),
|
||||
# html.Div(
|
||||
# [
|
||||
# "Recherche dans objet : ",
|
||||
# dcc.Input(id="search", value="", type="text"),
|
||||
# ]
|
||||
# )]),
|
||||
dcc.Loading(
|
||||
overlay_style={"visibility": "visible", "filter": "blur(2px)"},
|
||||
id="loading-1",
|
||||
type="default",
|
||||
children=datatable,
|
||||
),
|
||||
]
|
||||
@@ -0,0 +1,9 @@
|
||||
from dash import register_page, html
|
||||
|
||||
title = "Statistiques"
|
||||
|
||||
register_page(
|
||||
__name__, path="/statistiques", title=f"decp.info - {title}", name=title, order=2
|
||||
)
|
||||
|
||||
layout = [html.H2(title)]
|
||||
Reference in New Issue
Block a user