353 lines
12 KiB
Python
353 lines
12 KiB
Python
import datetime
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import json
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import polars as pl
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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 DataTable, point_on_map
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from src.utils import (
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df,
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df_acheteurs,
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filter_table_data,
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format_number,
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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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make_org_jsonld,
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meta_content,
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prepare_table_data,
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sort_table_data,
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)
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def get_title(acheteur_id: str = None) -> str:
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acheteur_nom = (
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df_acheteurs.filter(pl.col("acheteur_id") == acheteur_id)
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.select("acheteur_nom")
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.item()
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)
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return f"Marchés publics attribués par {acheteur_nom} | decp.info"
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register_page(
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__name__,
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path_template="/acheteurs/<acheteur_id>",
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title=get_title,
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name="Acheteur",
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description="Consultez les marchés publics attribués par cet acheteur.",
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image_url=meta_content["image_url"],
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order=5,
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)
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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="acheteur_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="acheteur"),
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),
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)
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layout = [
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dcc.Store(id="acheteur_data", storage_type="memory"),
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dcc.Location(id="acheteur_url", refresh="callback-nav"),
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html.Script(type="application/ld+json", id="acheteur_jsonld"),
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html.Div(
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children=[
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html.Div(
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className="wrapper",
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children=[
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html.H2(
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className="org_title",
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children=[
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html.Span(id="acheteur_siret"),
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" - ",
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html.Span(id="acheteur_nom"),
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],
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),
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html.Div(
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className="org_year",
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children=dcc.Dropdown(
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id="acheteur_year",
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options=["Toutes"]
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+ [
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str(year)
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for year in range(
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2018, int(datetime.date.today().year) + 1
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)
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],
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placeholder="Année",
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),
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),
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html.Div(
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className="org_infos",
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children=[
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# TODO: ajouter le type d'acheteur : commune, CD, CR, etc.
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html.P(["Commune : ", html.Strong(id="acheteur_commune")]),
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html.P(
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[
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"Département : ",
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html.Strong(id="acheteur_departement"),
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]
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),
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html.P(["Région : ", html.Strong(id="acheteur_region")]),
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html.A(
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id="acheteur_lien_annuaire",
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children="Plus de détails sur l'Annuaire des entreprises",
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target="_blank",
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),
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],
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),
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html.Div(
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className="org_stats",
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children=[
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html.P(id="acheteur_titre_stats"),
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html.P(id="acheteur_marches_attribues"),
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html.P(id="acheteur_titulaires_differents"),
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html.Button(
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"Téléchargement au format Excel",
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id="btn-download-data-acheteur",
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),
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dcc.Download(id="download-data-acheteur"),
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],
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),
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html.Div(className="org_map", id="acheteur_map"),
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html.Div(
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className="org_top",
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children=[
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html.H3("Top titulaires"),
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html.Div(className="marches_table", id="top10_titulaires"),
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],
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),
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],
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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 attribués"),
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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="acheteur_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-acheteur",
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disabled=True,
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),
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dcc.Download(id="acheteur-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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@callback(
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Output(component_id="acheteur_siret", component_property="children"),
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Output(component_id="acheteur_nom", component_property="children"),
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Output(component_id="acheteur_commune", component_property="children"),
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Output(component_id="acheteur_map", component_property="children"),
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Output(component_id="acheteur_departement", component_property="children"),
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Output(component_id="acheteur_region", component_property="children"),
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Output(component_id="acheteur_lien_annuaire", component_property="href"),
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Input(component_id="acheteur_url", component_property="pathname"),
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)
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def update_acheteur_infos(url):
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acheteur_siret = url.split("/")[-1]
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if len(acheteur_siret) != 14:
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acheteur_siret = (
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f"Le SIRET renseigné doit faire 14 caractères ({acheteur_siret})"
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)
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data = get_annuaire_data(acheteur_siret)
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data_etablissement = data["matching_etablissements"][0]
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acheteur_map = point_on_map(
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data_etablissement["latitude"], data_etablissement["longitude"]
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)
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code_departement, nom_departement, nom_region = get_departement_region(
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data_etablissement["code_postal"]
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)
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departement = f"{nom_departement} ({code_departement})"
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lien_annuaire = (
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f"https://annuaire-entreprises.data.gouv.fr/etablissement/{acheteur_siret}"
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)
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return (
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acheteur_siret,
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data["nom_raison_sociale"],
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data_etablissement["libelle_commune"],
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acheteur_map,
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departement,
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nom_region,
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lien_annuaire,
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)
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@callback(
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Output(component_id="acheteur_marches_attribues", component_property="children"),
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Output(
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component_id="acheteur_titulaires_differents", component_property="children"
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),
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Input(component_id="acheteur_data", component_property="data"),
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)
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def update_acheteur_stats(data):
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dff = pl.DataFrame(data, strict=False, infer_schema_length=5000)
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if dff.height == 0:
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dff = pl.DataFrame(schema=df.collect_schema())
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df_marches = dff.unique("id")
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nb_marches = format_number(df_marches.height)
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# somme_marches = format_number(int(df_marches.select(pl.sum("montant")).item()))
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marches_attribues = [html.Strong(nb_marches), " marchés et accord-cadres attribués"]
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# + ", pour un total de ", html.Strong(somme_marches + " €")]
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del df_marches
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nb_titulaires = dff.unique("titulaire_id").height
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nb_titulaires = [
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html.Strong(format_number(nb_titulaires)),
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" titulaires (SIRET) différents",
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]
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del dff
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return marches_attribues, nb_titulaires
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@callback(
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Output(component_id="acheteur_data", component_property="data"),
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Output("btn-download-data-acheteur", "disabled"),
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Output("btn-download-data-acheteur", "children"),
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Output("btn-download-data-acheteur", "title"),
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Input(component_id="acheteur_url", component_property="pathname"),
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Input(component_id="acheteur_year", component_property="value"),
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)
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def get_acheteur_marches_data(url, acheteur_year: str) -> tuple:
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acheteur_siret = url.split("/")[-1]
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lff = df.lazy()
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lff = lff.filter(pl.col("acheteur_id") == acheteur_siret)
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if acheteur_year and acheteur_year != "Toutes":
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acheteur_year = int(acheteur_year)
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lff = lff.filter(pl.col("dateNotification").dt.year() == acheteur_year)
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lff = lff.sort(["dateNotification", "uid"], descending=True, nulls_last=True)
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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("acheteur_datatable", "data"),
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Output("acheteur_datatable", "columns"),
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Output("acheteur_datatable", "tooltip_header"),
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Output("acheteur_datatable", "data_timestamp"),
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Output("acheteur_nb_rows", "children"),
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Output("btn-download-filtered-data-acheteur", "disabled"),
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Output("btn-download-filtered-data-acheteur", "children"),
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Output("btn-download-filtered-data-acheteur", "title"),
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Input("acheteur_data", "data"),
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Input("acheteur_datatable", "page_current"),
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Input("acheteur_datatable", "page_size"),
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Input("acheteur_datatable", "filter_query"),
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Input("acheteur_datatable", "sort_by"),
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State("acheteur_datatable", "data_timestamp"),
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)
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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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) -> tuple:
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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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@callback(
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Output(component_id="top10_titulaires", component_property="children"),
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Input(component_id="acheteur_data", component_property="data"),
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)
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def get_top_titulaires(data):
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return get_top_org_table(data, "titulaire")
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@callback(
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Output("download-data-acheteur", "data"),
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Input("btn-download-data-acheteur", "n_clicks"),
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State(component_id="acheteur_data", component_property="data"),
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State(component_id="acheteur_nom", component_property="children"),
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State(component_id="acheteur_year", component_property="value"),
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prevent_initial_call=True,
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)
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def download_acheteur_data(
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n_clicks,
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data: [dict],
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acheteur_nom: str,
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annee: str,
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):
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df_to_download = pl.DataFrame(data)
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def to_bytes(buffer):
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df_to_download.write_excel(
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buffer, worksheet="DECP" if annee in ["Toutes", None] else annee
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)
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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_{acheteur_nom}_{date}.xlsx")
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@callback(
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Output("acheteur-download-filtered-data", "data"),
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State("acheteur_data", "data"),
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Input("btn-download-filtered-data-acheteur", "n_clicks"),
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State("acheteur_nom", "children"),
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State("acheteur_datatable", "filter_query"),
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State("acheteur_datatable", "sort_by"),
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State("acheteur_datatable", "hidden_columns"),
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prevent_initial_call=True,
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)
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def download_filtered_acheteur_data(
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data, n_clicks, acheteur_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 acheteur 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_{acheteur_nom}_{date}.xlsx"
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)
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@callback(
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Output(component_id="acheteur_jsonld", component_property="children"),
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Input("acheteur_data", "data"),
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)
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def get_acheteur_jsonld(acheteur) -> str:
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acheteur = acheteur[0]
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acheteur_id = acheteur.get("acheteur_id")
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jsonld = make_org_jsonld(
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acheteur_id, org_name=acheteur.get("acheteur_nom"), org_type="acheteur"
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)
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jsonld["@context"] = "http://schema.org/"
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return json.dumps(jsonld, indent=2)
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