Merge branch 'feature/55_top10' into dev
This commit is contained in:
@@ -38,8 +38,9 @@ Ne pas oublier de mettre à jour les fichier .env.
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## Notes de version
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### 2.2.0 ()
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#### 2.2.0 ()
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- Top acheteurs / titulaires par montant attribué/remporté (([#55](https://github.com/ColinMaudry/decp.info/issues/55)))
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- Moins de colonnes affichées par défaut ([#54](https://github.com/ColinMaudry/decp.info/issues/54))
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##### 2.1.6 (15 octobre 2025)
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@@ -53,9 +53,10 @@ div.logo > a {
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/* Réduire la taille du texte de la colonne Objet */
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td[data-dash-column="objet"] {
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/*
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td[data-dash-column="objet"],td[data-dash-column="titulaire_nom"],td[data-dash-column="acheteur_nom"], {
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font-size: 85%;
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}
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}*/
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/* Couleur des en-têtes */
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.dash-table-container
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@@ -211,6 +212,11 @@ summary > h3 {
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grid-row: 2;
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}
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.org_top {
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grid-column: 1/3;
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grid-row: 3;
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}
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/* Vue marché */
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.marche_infos p {
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@@ -0,0 +1,64 @@
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import polars as pl
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from dash import dash_table, html
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from utils import add_links_in_dict, format_montant, setup_table_columns
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def get_top_org_table(data, org_type: str):
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dff = pl.DataFrame(data)
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if dff.height == 0:
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return html.Div()
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dff = dff.select(["uid", f"{org_type}_id", f"{org_type}_nom", "montant"])
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dff_nb = dff.group_by(f"{org_type}_id", f"{org_type}_nom").agg(
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pl.len().alias("Attributions"), pl.sum("montant").alias("montant")
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)
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dff_nb = dff_nb.sort(by="montant", descending=True)
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dff_nb = dff_nb.cast(pl.String)
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dff_nb = dff_nb.fill_null("")
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dff_nb = format_montant(dff_nb, column="montant")
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columns, tooltip = setup_table_columns(
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dff_nb, hideable=False, exclude=[f"{org_type}_id"]
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)
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data = dff_nb.to_dicts()
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data = add_links_in_dict(data, f"{org_type}")
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print(dff_nb)
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return dash_table.DataTable(
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data=data,
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markdown_options={"html": True},
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page_action="native",
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page_size=10,
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columns=columns,
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tooltip_header=tooltip,
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style_cell_conditional=[
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{
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"if": {"column_id": "objet"},
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"minWidth": "350px",
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"textAlign": "left",
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"overflow": "hidden",
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"lineHeight": "14px",
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"whiteSpace": "normal",
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"fontSize": "85%",
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},
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{
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"if": {"column_id": "acheteur_nom"},
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"minWidth": "200px",
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"textAlign": "left",
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"overflow": "hidden",
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"lineHeight": "16px",
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# "fontSize": "85%",
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"whiteSpace": "normal",
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},
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{
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"if": {"column_id": "titulaire_nom"},
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"minWidth": "200px",
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"textAlign": "left",
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"overflow": "hidden",
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"lineHeight": "16px",
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"whiteSpace": "normal",
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# "fontSize": "85%",
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},
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],
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)
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+25
-6
@@ -3,6 +3,7 @@ import datetime
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import polars as pl
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from dash import Input, Output, State, callback, dash_table, dcc, html, register_page
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from src.callbacks import get_top_org_table
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from src.figures import point_on_map
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from src.utils import (
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add_links_in_dict,
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@@ -89,6 +90,13 @@ layout = [
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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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@@ -146,22 +154,22 @@ def update_acheteur_infos(url):
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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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if df.height == 0:
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df = pl.DataFrame(schema=df.collect_schema())
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df_marches = df.unique("id")
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dff = pl.DataFrame(data)
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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 = df.unique("titulaire_id").height
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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 df
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del dff
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return marches_attribues, nb_titulaires
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@@ -203,8 +211,11 @@ def get_acheteur_marches_data(url, acheteur_year: str) -> list[dict]:
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)
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def get_last_marches_table(data) -> html.Div:
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dff = pl.DataFrame(data)
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if dff.height == 0:
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return html.Div(html.P("Aucun marché trouvé."))
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dff = dff.cast(pl.String)
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dff = dff.fill_null("")
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print("1", dff.columns)
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dff = format_montant(dff)
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columns, tooltip = setup_table_columns(
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dff,
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@@ -252,6 +263,14 @@ def get_last_marches_table(data) -> html.Div:
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return table
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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-acheteur-data", "data"),
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Input("btn-download-acheteur-data", "n_clicks"),
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+17
-1
@@ -3,6 +3,7 @@ import datetime
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import polars as pl
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from dash import Input, Output, State, callback, dash_table, dcc, html, register_page
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from src.callbacks import get_top_org_table
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from src.figures import point_on_map
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from src.utils import (
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add_links_in_dict,
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@@ -91,6 +92,13 @@ layout = [
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],
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),
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html.Div(className="org_map", id="titulaire_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 acheteurs"),
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html.Div(className="marches_table", id="top10_acheteurs"),
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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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@@ -161,7 +169,7 @@ def update_titulaire_stats(data):
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nb_acheteurs = dff.unique("acheteur_id").height
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nb_acheteurs = [
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html.Strong(format_number(nb_acheteurs)),
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" titulaires (SIRET) différents",
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" acheteurs (SIRET) différents",
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]
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del dff
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@@ -266,6 +274,14 @@ def get_last_marches_table(data) -> html.Div:
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return table
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@callback(
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Output(component_id="top10_acheteurs", component_property="children"),
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Input(component_id="titulaire_data", component_property="data"),
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)
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def get_top_acheteurs(data):
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return get_top_org_table(data, "acheteur")
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@callback(
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Output("download-titulaire-data", "data"),
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Input("btn-download-titulaire-data", "n_clicks"),
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+8
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@@ -77,15 +77,16 @@ def add_links(dff: pl.DataFrame):
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return dff
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def add_links_in_dict(data: list, org_type: str) -> list:
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def add_links_in_dict(data: list[dict], org_type: str) -> list:
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new_data = []
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for marche in data:
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org_id = marche[org_type + "_id"]
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marche[org_type + "_nom"] = (
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f'<a href="/{org_type}s/{org_id}">{marche[org_type + "_nom"]}</a>'
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)
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marche["id"] = f'<a href="/marches/{marche["uid"]}">{marche["id"]}</a>'
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marche["uid"] = f'<a href="/marches/{marche["uid"]}">{marche["uid"]}</a>'
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if marche.get("uid"):
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marche["id"] = f'<a href="/marches/{marche["uid"]}">{marche["id"]}</a>'
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marche["uid"] = f'<a href="/marches/{marche["uid"]}">{marche["uid"]}</a>'
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new_data.append(marche)
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return new_data
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@@ -124,7 +125,7 @@ def format_number(number) -> str:
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return number
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def format_montant(dff: pl.DataFrame) -> pl.DataFrame:
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def format_montant(dff: pl.DataFrame, column: str = "montant") -> pl.DataFrame:
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def format_function(expr, scale=None):
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# https://stackoverflow.com/a/78636786
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expr = expr.cast(pl.String)
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@@ -143,7 +144,7 @@ def format_montant(dff: pl.DataFrame) -> pl.DataFrame:
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frac: pl.Expr = (
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pl.when(frac.is_not_null() & ~frac.is_in(["0"]))
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.then("," + frac)
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.then("," + frac.str.head(2))
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.otherwise(pl.lit(""))
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)
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@@ -155,7 +156,8 @@ def format_montant(dff: pl.DataFrame) -> pl.DataFrame:
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return montant
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dff = dff.with_columns(pl.col("montant").pipe(format_function).alias("montant"))
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print("3", dff.columns)
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dff = dff.with_columns(pl.col(column).pipe(format_function).alias(column))
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return dff
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