Carte résumé => figures.py #65

src/figures.py

@@ -1,10 +1,10 @@
 from typing import Literal
 from urllib.error import HTTPError, URLError
 
-import numpy as np
 import dash_bootstrap_components as dbc
 import dash_leaflet as dl
 import dash_leaflet.express as dlx
+import numpy as np
 import plotly.express as px
 import plotly.graph_objects as go
 import polars as pl
@@ -636,6 +636,42 @@ def get_distance_histogram(lff: pl.LazyFrame) -> dcc.Graph:
     return dcc.Graph(figure=fig)
 
 
+def get_dashboard_summary_table(dff, dff_per_uid, nb_marches):
+    nb_acheteurs = dff.select("acheteur_id").n_unique()
+    nb_titulaires = dff.select("titulaire_id", "titulaire_typeIdentifiant").n_unique()
+    total_montant = int(dff_per_uid.select(pl.col("montant").sum()).item())
+
+    summary_table = [
+        html.P(["Nombre de marchés : ", html.Strong(str(format_number(nb_marches)))]),
+        html.P(
+            [
+                "Nombre d'acheteurs uniques : ",
+                html.Strong(str(format_number(nb_acheteurs))),
+            ]
+        ),
+        html.P(
+            [
+                "Nombre de titulaires uniques : ",
+                html.Strong(str(format_number(nb_titulaires))),
+            ]
+        ),
+        html.P(
+            [
+                "Montant total (",
+                html.Span(
+                    "?",
+                    id={"type": "modal-trigger", "index": "montant"},
+                    style={"cursor": "pointer", "textDecoration": "underline dotted"},
+                ),
+                ") : ",
+                html.Strong(format_number(total_montant) + " €"),
+            ]
+        ),
+    ]
+
+    return summary_table
+
+
 def make_card(
     title: str, subtitle=None, fig=None, paragraphs=None, lg=6, xl=4
 ) -> dbc.Col:

src/pages/observatoire.py

@@ -19,6 +19,7 @@ from dash import (
 
 from src.figures import (
     get_barchart_sources,
+    get_dashboard_summary_table,
     get_distance_histogram,
     get_duplicate_matrix,
     get_geographic_maps,
@@ -30,7 +31,6 @@ from src.utils import (
     df,
     df_acheteurs,
     df_titulaires,
-    format_number,
     get_enum_values_as_dict,
     meta_content,
     prepare_dashboard_data,
@@ -532,16 +532,9 @@ def udpate_dashboard_cards(
 
     # Génération des métriques
     dff = lff.collect(engine="streaming")
-
-    # À transformer en fonction
-    nb_acheteurs = dff.select("acheteur_id").n_unique()
-    nb_titulaires = dff.select("titulaire_id", "titulaire_typeIdentifiant").n_unique()
-
     df_per_uid = (
         dff.select("uid", "montant").group_by("uid").agg(pl.col("montant").first())
     )
-
-    total_montant = int(df_per_uid.select(pl.col("montant").sum()).item())
     nb_marches = df_per_uid.height
 
     if nb_marches == 0:
@@ -553,29 +546,9 @@ def udpate_dashboard_cards(
 
     cards = []
 
-    card_basic_counts = [
-        html.P(["Nombre de marchés : ", html.Strong(str(format_number(nb_marches)))]),
-        html.P(
-            ["Nombre d'acheteurs : ", html.Strong(str(format_number(nb_acheteurs)))]
-        ),
-        html.P(
-            ["Nombre de titulaires : ", html.Strong(str(format_number(nb_titulaires)))]
-        ),
-        html.P(
-            [
-                "Montant total (",
-                html.Span(
-                    "?",
-                    id={"type": "modal-trigger", "index": "montant"},
-                    style={"cursor": "pointer", "textDecoration": "underline dotted"},
-                ),
-                ") : ",
-                html.Strong(format_number(total_montant) + " €"),
-            ]
-        ),
-    ]
+    card_summary_table = get_dashboard_summary_table(dff, df_per_uid, nb_marches)
 
-    cards.append(make_card(title="Résumé", paragraphs=card_basic_counts))
+    cards.append(make_card(title="Résumé", paragraphs=card_summary_table))
 
     donut_acheteur_categorie, nb_acheteur_categories = make_donut(
         lff,