Plus d'informations, stats #28
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+24
-3
@@ -76,6 +76,7 @@ td[data-dash-column="objet"] {
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}
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.marches_table .cell-table tr:nth-child(even) td {
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background-color: #feeeee;
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font-family: sans-serif;
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}
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#header > *,
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@@ -117,14 +118,34 @@ h3 {
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display: grid;
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grid-gap: 10px;
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margin-bottom: 50px;
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justify-content: space-between;
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}
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.org_title {
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grid-column: 1 / 3;
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grid-row: 1;
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}
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.org_year {
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grid-column: 3;
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grid-row: 1;
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}
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.org_infos {
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grid-column: 1;
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grid-row: 1;
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grid-row: 2;
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}
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.org_infos > p {
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margin: 8px 0;
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}
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.org_stats {
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grid-column: 2;
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grid-row: 2;
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}
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.org_map {
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grid-column: 2;
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grid-row: 1;
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grid-column: 3;
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grid-row: 2;
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}
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+113
-16
@@ -1,8 +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, callback, dash_table, dcc, html, register_page
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from src.figures import point_on_map
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from src.utils import get_annuaire_data, lf
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from src.utils import format_number, get_annuaire_data, get_departement_region, lf
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register_page(
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__name__,
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@@ -20,24 +22,58 @@ layout = [
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html.Div(
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className="container",
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children=[
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html.H2(
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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="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=[html.P(["Commune : ", html.Span(id="commune")])],
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children=[
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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_notifies"),
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html.P(id="acheteur_fournisseurs_differents"),
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],
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),
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html.Div(className="org_map", id="acheteur_map"),
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# adresse
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# code commune
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# lat long
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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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@@ -51,38 +87,85 @@ layout = [
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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="commune", 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="url", component_property="pathname"),
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)
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def update_acheteur(url):
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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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return f"Le SIRET renseigné doit faire 14 caractères ({acheteur_siret})"
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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_notifies", component_property="children"),
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Output(
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component_id="acheteur_fournisseurs_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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df = pl.DataFrame(data)
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df_marches = df.unique("uid")
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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_notifies = [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_fournisseurs = df.unique("titulaire_id").height
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nb_fournisseurs = [
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html.Strong(format_number(nb_fournisseurs)),
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" fournisseurs (SIRET) différents",
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]
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del df
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return marches_notifies, nb_fournisseurs
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@callback(
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Output(component_id="acheteur_data", component_property="data"),
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Input(component_id="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) -> pl.LazyFrame:
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def get_acheteur_marches_data(url, acheteur_year: str) -> pl.LazyFrame:
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acheteur_siret = url.split("/")[-1]
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lff = lf.filter(pl.col("acheteur_id") == acheteur_siret)
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if acheteur_year and acheteur_year != "Toutes":
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lff = lff.filter(
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pl.col("dateNotification").cast(pl.String).str.starts_with(acheteur_year)
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)
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lff = lff.select(
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"uid",
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"objet",
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"dateNotification",
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"titulaire_id",
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"titulaire_nom",
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"montant",
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"codeCPV",
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@@ -98,11 +181,25 @@ def get_acheteur_marches_data(url) -> pl.LazyFrame:
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Input(component_id="acheteur_data", component_property="data"),
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)
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def get_last_marches_table(data) -> html.Div:
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columns = data[0].keys()
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table = html.Div(
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className="marches_table",
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children=dash_table.DataTable(
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data=data,
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page_action="native",
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columns=[
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{
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"name": i,
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"id": i,
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"presentation": "markdown",
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"type": "text",
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"format": {"nully": "N/A"},
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"hideable": False,
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}
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for i in columns
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if i not in ["titulaire_id"]
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],
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page_size=10,
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style_cell_conditional=[
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{
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+18
-3
@@ -1,3 +1,4 @@
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import json
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import logging
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import os
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from time import sleep
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@@ -124,9 +125,6 @@ def get_decp_data() -> pl.LazyFrame:
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sleep(10)
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lff: pl.LazyFrame = pl.scan_parquet(os.getenv("DATA_FILE_PARQUET_PATH"))
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# Remplacement des valeurs numériques par des chaînes de caractères
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# lff = numbers_to_strings(lff)
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# Tri des marchés par date de notification
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lff = lff.sort(by=["dateNotification"], descending=True, nulls_last=True)
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@@ -136,4 +134,21 @@ def get_decp_data() -> pl.LazyFrame:
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return lff
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def get_departements() -> dict:
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with open("data/departements.json", "rb") as f:
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data = json.load(f)
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return data
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def get_departement_region(code_postal):
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if code_postal > "97000":
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code_departement = code_postal[:3]
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else:
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code_departement = code_postal[:2]
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nom_departement = departements[code_departement]["departement"]
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nom_region = departements[code_departement]["region"]
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return code_departement, nom_departement, nom_region
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lf = get_decp_data()
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departements = get_departements()
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