Files
colibre/src/pages/acheteur.py
T

498 lines
17 KiB
Python

import datetime
import uuid
import dash_bootstrap_components as dbc
import polars as pl
from dash import (
ClientsideFunction,
Input,
Output,
State,
callback,
clientside_callback,
dcc,
html,
no_update,
register_page,
)
from src.callbacks import get_top_org_table
from src.figures import DataTable, make_column_picker, point_on_map
from src.utils import (
add_canonical_link,
columns,
df,
df_acheteurs,
filter_table_data,
format_number,
get_annuaire_data,
get_button_properties,
get_default_hidden_columns,
get_departement_region,
meta_content,
prepare_table_data,
sort_table_data,
)
def get_title(acheteur_id: str = None) -> str:
df_acheteur = df_acheteurs.filter(pl.col("acheteur_id") == acheteur_id).select(
"acheteur_nom"
)
acheteur_nom = df_acheteur.item(0, 0)
return f"Marchés publics attribués par {acheteur_nom} | decp.info"
register_page(
__name__,
path_template="/acheteurs/<acheteur_id>",
title=get_title,
name="Acheteur",
description="Consultez les marchés publics attribués par cet acheteur.",
image_url=meta_content["image_url"],
order=5,
)
datatable = html.Div(
className="marches_table",
children=DataTable(
dtid="acheteur_datatable",
page_action="custom",
filter_action="custom",
sort_action="custom",
page_size=10,
hidden_columns=[],
columns=[{"id": col, "name": col} for col in df.columns],
),
)
layout = [
dcc.Store(id="acheteur_data", storage_type="memory"),
dcc.Store(id="acheteur-hidden-columns", storage_type="local"),
dcc.Store(id="acheteur-filters", storage_type="local"),
dcc.Store(id="acheteur-sort", storage_type="local"),
dcc.Store(id="filter-cleanup-trigger-acheteur"),
dcc.Location(id="acheteur_url", refresh="callback-nav"),
html.Div(
children=[
html.Div(
className="wrapper",
children=[
html.H2(
className="org_title",
children=[
html.Span(id="acheteur_siret"),
" - ",
html.Span(id="acheteur_nom"),
],
),
html.Div(
className="org_year",
children=dcc.Dropdown(
id="acheteur_year",
options=["Toutes les années"]
+ [
str(year)
for year in range(
2018, int(datetime.date.today().year) + 1
)
],
placeholder="Année",
),
),
html.Div(
className="org_infos",
children=[
# TODO: ajouter le type d'acheteur : commune, CD, CR, etc.
html.P(["Commune : ", html.Strong(id="acheteur_commune")]),
html.P(
[
"Département : ",
html.Strong(id="acheteur_departement"),
]
),
html.P(["Région : ", html.Strong(id="acheteur_region")]),
html.A(
id="acheteur_lien_annuaire",
children="Plus de détails sur l'Annuaire des entreprises",
),
],
),
html.Div(
className="org_stats",
children=[
html.P(id="acheteur_titre_stats"),
html.P(id="acheteur_marches_attribues"),
html.P(id="acheteur_titulaires_differents"),
html.Button(
"Téléchargement au format Excel",
id="btn-download-data-acheteur",
className="btn btn-primary",
),
dcc.Download(id="download-data-acheteur"),
],
),
html.Div(className="org_map", id="acheteur_map"),
html.Div(
className="org_top",
children=[
html.H3("Top titulaires"),
html.Div(className="marches_table", id="top10_titulaires"),
],
),
],
),
# récupérer les données de l'acheteur sur l'api annuaire
html.H3("Derniers marchés publics attribués"),
dcc.Loading(
overlay_style={"visibility": "visible", "filter": "blur(2px)"},
id="loading-home",
type="default",
children=[
html.Div(
[
# Bouton modal des colonnes affichées
dbc.Button(
"Colonnes affichées",
id="acheteur_columns_open",
className="column_list",
),
html.P("lignes", id="acheteur_nb_rows"),
html.Button(
"Téléchargement désactivé au-delà de 65 000 lignes",
id="btn-download-filtered-data-acheteur",
className="btn btn-primary",
disabled=True,
),
dcc.Download(id="acheteur-download-filtered-data"),
dbc.Button(
"Remise à zéro",
title="Supprime tous les filtres et les tris. Autrement ils sont conservés même si vous fermez la page.",
id="btn-acheteur-reset",
),
],
className="table-menu",
),
dbc.Modal(
[
dbc.ModalHeader(
dbc.ModalTitle("Choix des colonnes à afficher")
),
dbc.ModalBody(
id="acheteur_columns_body",
children=make_column_picker("acheteur"),
),
dbc.ModalFooter(
dbc.Button(
"Fermer",
id="acheteur_columns_close",
className="ms-auto",
n_clicks=0,
)
),
],
id="acheteur_columns",
is_open=False,
fullscreen="md-down",
scrollable=True,
size="xl",
),
datatable,
],
),
],
),
]
@callback(
Output(component_id="acheteur_siret", component_property="children"),
Output(component_id="acheteur_nom", component_property="children"),
Output(component_id="acheteur_commune", component_property="children"),
Output(component_id="acheteur_map", component_property="children"),
Output(component_id="acheteur_departement", component_property="children"),
Output(component_id="acheteur_region", component_property="children"),
Output(component_id="acheteur_lien_annuaire", component_property="href"),
Input(component_id="acheteur_url", component_property="pathname"),
)
def update_acheteur_infos(url):
acheteur_siret = url.split("/")[-1]
if len(acheteur_siret) != 14:
acheteur_siret = (
f"Le SIRET renseigné doit faire 14 caractères ({acheteur_siret})"
)
data = get_annuaire_data(acheteur_siret)
data_etablissement = data["matching_etablissements"][0]
acheteur_map = point_on_map(
data_etablissement["latitude"], data_etablissement["longitude"]
)
code_departement, nom_departement, nom_region = get_departement_region(
data_etablissement["code_postal"]
)
departement = f"{nom_departement} ({code_departement})"
lien_annuaire = (
f"https://annuaire-entreprises.data.gouv.fr/etablissement/{acheteur_siret}"
)
return (
acheteur_siret,
data["nom_raison_sociale"],
data_etablissement["libelle_commune"],
acheteur_map,
departement,
nom_region,
lien_annuaire,
)
@callback(
Output(component_id="acheteur_marches_attribues", component_property="children"),
Output(
component_id="acheteur_titulaires_differents", component_property="children"
),
Input(component_id="acheteur_data", component_property="data"),
)
def update_acheteur_stats(data):
dff = pl.DataFrame(data, strict=False, infer_schema_length=5000)
if dff.height == 0:
dff = pl.DataFrame(schema=df.collect_schema())
df_marches = dff.unique("id")
nb_marches = format_number(df_marches.height)
# somme_marches = format_number(int(df_marches.select(pl.sum("montant")).item()))
marches_attribues = [html.Strong(nb_marches), " marchés et accord-cadres attribués"]
# + ", pour un total de ", html.Strong(somme_marches + " €")]
del df_marches
nb_titulaires = dff.unique("titulaire_id").height
nb_titulaires = [
html.Strong(format_number(nb_titulaires)),
" titulaires (SIRET) différents",
]
del dff
return marches_attribues, nb_titulaires
@callback(
Output(component_id="acheteur_data", component_property="data"),
Output("btn-download-data-acheteur", "disabled"),
Output("btn-download-data-acheteur", "children"),
Output("btn-download-data-acheteur", "title"),
Input(component_id="acheteur_url", component_property="pathname"),
Input(component_id="acheteur_year", component_property="value"),
)
def get_acheteur_marches_data(url, acheteur_year: str) -> tuple:
acheteur_siret = url.split("/")[-1]
lff = df.lazy()
lff = lff.filter(pl.col("acheteur_id") == acheteur_siret)
if acheteur_year and acheteur_year != "Toutes les années":
acheteur_year = int(acheteur_year)
lff = lff.filter(pl.col("dateNotification").dt.year() == acheteur_year)
lff = lff.sort(["dateNotification", "uid"], descending=True, nulls_last=True)
dff: pl.DataFrame = lff.collect(engine="streaming")
download_disabled, download_text, download_title = get_button_properties(dff.height)
data = dff.to_dicts()
return data, download_disabled, download_text, download_title
@callback(
Output("acheteur_datatable", "data"),
Output("acheteur_datatable", "columns"),
Output("acheteur_datatable", "tooltip_header"),
Output("acheteur_datatable", "data_timestamp"),
Output("acheteur_nb_rows", "children"),
Output("btn-download-filtered-data-acheteur", "disabled"),
Output("btn-download-filtered-data-acheteur", "children"),
Output("btn-download-filtered-data-acheteur", "title"),
Output("filter-cleanup-trigger-acheteur", "data", allow_duplicate=True),
Input("acheteur_data", "data"),
Input("acheteur_datatable", "page_current"),
Input("acheteur_datatable", "page_size"),
Input("acheteur-filters", "data"),
Input("acheteur-sort", "data"),
State("acheteur_datatable", "data_timestamp"),
prevent_initial_call=True,
)
def get_last_marches_data(
data, page_current, page_size, filter_query, sort_by, data_timestamp
) -> tuple:
return prepare_table_data(
data, data_timestamp, filter_query, page_current, page_size, sort_by, "acheteur"
)
@callback(
Output(component_id="top10_titulaires", component_property="children"),
Input(component_id="acheteur_data", component_property="data"),
)
def get_top_titulaires(data):
return get_top_org_table(data, "titulaire")
@callback(
Output("download-data-acheteur", "data"),
Input("btn-download-data-acheteur", "n_clicks"),
State(component_id="acheteur_data", component_property="data"),
State(component_id="acheteur_nom", component_property="children"),
State(component_id="acheteur_year", component_property="value"),
prevent_initial_call=True,
)
def download_acheteur_data(
n_clicks,
data: [dict],
acheteur_nom: str,
annee: str,
):
df_to_download = pl.DataFrame(data)
def to_bytes(buffer):
df_to_download.write_excel(
buffer, worksheet="DECP" if annee in ["Toutes les années", None] else annee
)
date = datetime.datetime.now().strftime("%Y-%m-%d_%H:%M:%S")
return dcc.send_bytes(to_bytes, filename=f"decp_{acheteur_nom}_{date}.xlsx")
@callback(
Output("acheteur-download-filtered-data", "data"),
State("acheteur_data", "data"),
Input("btn-download-filtered-data-acheteur", "n_clicks"),
State("acheteur_nom", "children"),
State("acheteur-filters", "data"),
State("acheteur-sort", "data"),
State("acheteur_datatable", "hidden_columns"),
prevent_initial_call=True,
)
def download_filtered_acheteur_data(
data, n_clicks, acheteur_nom, filter_query, sort_by, hidden_columns: list = None
):
lff: pl.LazyFrame = pl.LazyFrame(
data
) # start from the full acheteur data, not from paginated table data
# Les colonnes masquées sont supprimées
if hidden_columns:
lff = lff.drop(hidden_columns)
if filter_query:
lff = filter_table_data(lff, filter_query, "ach download")
if len(sort_by) > 0:
lff = sort_table_data(lff, sort_by)
def to_bytes(buffer):
lff.collect(engine="streaming").write_excel(buffer, worksheet="DECP")
date = datetime.datetime.now().strftime("%Y-%m-%d_%H:%M:%S")
return dcc.send_bytes(
to_bytes, filename=f"decp_filtrées_{acheteur_nom}_{date}.xlsx"
)
# Pour nettoyer les icontains et i< des filtres
# voir aussi src/assets/dash_clientside.js
clientside_callback(
ClientsideFunction(
namespace="clientside",
function_name="clean_filters",
),
Output("filter-cleanup-trigger-acheteur", "data", allow_duplicate=True),
Input("filter-cleanup-trigger-acheteur", "data"),
prevent_initial_call=True,
)
@callback(
Output("acheteur-hidden-columns", "data", allow_duplicate=True),
Output("filter-cleanup-trigger-acheteur", "data", allow_duplicate=True),
Input("acheteur_column_list", "selected_rows"),
State("acheteur-filters", "data"),
prevent_initial_call=True,
)
def update_hidden_columns_from_checkboxes(selected_columns, filter_query):
trigger_cleanup = str(uuid.uuid4()) if filter_query else no_update
if selected_columns:
selected_columns = [columns[i] for i in selected_columns]
hidden_columns = [col for col in columns if col not in selected_columns]
return hidden_columns, trigger_cleanup
else:
return [], trigger_cleanup
@callback(
Output("acheteur_datatable", "hidden_columns", allow_duplicate=True),
Input(
"acheteur-hidden-columns",
"data",
),
prevent_initial_call=True,
)
def store_hidden_columns(hidden_columns):
return hidden_columns
@callback(
Output("acheteur_column_list", "selected_rows"),
Input("acheteur_datatable", "hidden_columns"),
State("acheteur_column_list", "selected_rows"), # pour éviter la boucle infinie
)
def update_checkboxes_from_hidden_columns(hidden_cols, current_checkboxes):
hidden_cols = hidden_cols or get_default_hidden_columns("acheteur")
# Show all columns that are NOT hidden
visible_cols = [columns.index(col) for col in columns if col not in hidden_cols]
return visible_cols
@callback(
Output("acheteur_columns", "is_open"),
Input("acheteur_columns_open", "n_clicks"),
Input("acheteur_columns_close", "n_clicks"),
State("acheteur_columns", "is_open"),
)
def toggle_acheteur_columns(click_open, click_close, is_open):
if click_open or click_close:
return not is_open
return is_open
@callback(
Output("acheteur-filters", "data"), Input("acheteur_datatable", "filter_query")
)
def sync_filters_to_local_storage(filter_query):
return filter_query
@callback(Output("acheteur-sort", "data"), Input("acheteur_datatable", "sort_by"))
def sync_sort_to_local_storage(sort_by):
return sort_by
@callback(
Output("acheteur_datatable", "filter_query", allow_duplicate=True),
Output("acheteur_datatable", "sort_by", allow_duplicate=True),
Input("acheteur_url", "href"),
State("acheteur-filters", "data"),
State("acheteur-sort", "data"),
prevent_initial_call=True,
)
def sync_local_storage_to_datatable(href, filter_query, sort_by):
return filter_query, sort_by
@callback(
Output("acheteur_datatable", "filter_query", allow_duplicate=True),
Output("acheteur_datatable", "sort_by"),
Input("btn-acheteur-reset", "n_clicks"),
prevent_initial_call=True,
)
def reset_view(n_clicks):
return "", []
@callback(Input("acheteur_url", "pathname"))
def cb_add_canonical_link(pathname):
add_canonical_link(pathname)