Files
colibre/src/pages/acheteur.py
T
2026-01-28 13:30:47 +01:00

353 lines
12 KiB
Python

import datetime
import json
import polars as pl
from dash import Input, Output, State, callback, dcc, html, register_page
from src.callbacks import get_top_org_table
from src.figures import DataTable, point_on_map
from src.utils import (
df,
df_acheteurs,
filter_table_data,
format_number,
get_annuaire_data,
get_button_properties,
get_default_hidden_columns,
get_departement_region,
make_org_jsonld,
meta_content,
prepare_table_data,
sort_table_data,
)
def get_title(acheteur_id: str = None) -> str:
acheteur_nom = (
df_acheteurs.filter(pl.col("acheteur_id") == acheteur_id)
.select("acheteur_nom")
.item()
)
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=get_default_hidden_columns(page="acheteur"),
),
)
layout = [
dcc.Store(id="acheteur_data", storage_type="memory"),
dcc.Location(id="acheteur_url", refresh="callback-nav"),
html.Script(type="application/ld+json", id="acheteur_jsonld"),
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"]
+ [
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",
target="_blank",
),
],
),
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",
),
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(
[
html.P("lignes", id="acheteur_nb_rows"),
html.Button(
"Téléchargement désactivé au-delà de 65 000 lignes",
id="btn-download-filtered-data-acheteur",
disabled=True,
),
dcc.Download(id="acheteur-download-filtered-data"),
],
className="table-menu",
),
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":
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"),
Input("acheteur_data", "data"),
Input("acheteur_datatable", "page_current"),
Input("acheteur_datatable", "page_size"),
Input("acheteur_datatable", "filter_query"),
Input("acheteur_datatable", "sort_by"),
State("acheteur_datatable", "data_timestamp"),
)
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
)
@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", 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_datatable", "filter_query"),
State("acheteur_datatable", "sort_by"),
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)
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"
)
@callback(
Output(component_id="acheteur_jsonld", component_property="children"),
Input("acheteur_data", "data"),
)
def get_acheteur_jsonld(acheteur) -> str:
acheteur = acheteur[0]
acheteur_id = acheteur.get("acheteur_id")
jsonld = make_org_jsonld(
acheteur_id, org_name=acheteur.get("acheteur_nom"), org_type="acheteur"
)
jsonld["@context"] = "http://schema.org/"
return json.dumps(jsonld, indent=2)