Merge branch 'release/2.2.0'

.template.env

@@ -6,9 +6,17 @@ SOURCE_STATS_CSV_PATH="https://www.data.gouv.fr/api/1/datasets/r/8ded94de-3b80-4
 # Chemin vers le schéma de données
 DATA_SCHEMA_PATH=https://www.data.gouv.fr/api/1/datasets/r/9a4144c0-ee44-4dec-bee5-bbef38191d9a
 
+# Colonnes masquées par défaut
+DISPLAYED_COLUMNS="uid, acheteur_id, acheteur_nom, montant, objet, titulaire_nom, titulaire_id, dateNotification, dureeMois, acheteur_departement_code, sourceDataset"
+
 # Formulaire de contact
 SENDER_SERVER_DOMAIN="mail.example.com" # serveur SMTP
 LOGIN_PASSWORD="" # mot de passe du serveur
 LOGIN_EMAIL="connect@example.fr" # adresse utilisée pour se connecter au serveur SMTP
 FROM_EMAIL="from@example.com" # adresse d'envoi des emails (From)
 TO_EMAIL="to@example.com" # adresse de destination des emails (To)
+
+# Matomo
+MATOMO_ID_SITE=
+MATOMO_BASE_URL=
+MATOMO_TOKEN=

README.md

@@ -38,6 +38,12 @@ Ne pas oublier de mettre à jour les fichier .env.
 
 ## Notes de version
 
+#### 2.2.0 (13 novembre 2025)
+
+- Moteur de recherche (acheteurs et titulaires) en page d'accueil ([#58](https://github.com/ColinMaudry/decp.info/issues/58))
+- Top acheteurs / titulaires par montant attribué/remporté (([#55](https://github.com/ColinMaudry/decp.info/issues/55)))
+- Moins de colonnes affichées par défaut dans Tableau ([#54](https://github.com/ColinMaudry/decp.info/issues/54))
+
 ##### 2.1.7 (11 novembre 2025)
 
 - Remplacement du formulaire de contact par une adresse email

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "decp.info"
 description = "Interface d'exploration et d'analyse des marchés publics français."
-version = "2.1.7"
+version = "2.2.0"
 requires-python = ">= 3.10"
 authors = [
     { name = "Colin Maudry", email = "colin+decp@maudry.com" }
@@ -16,7 +16,8 @@ dependencies = [
     "xlsxwriter",
     "plotly[express]",
     "httpx",
-    "pandas" # utilisé pour la création de certains graphiques
+    "pandas", # utilisé pour la création de certains graphiques
+    "unidecode"
 ]
 
 [project.optional-dependencies]

src/assets/style.css

@@ -53,9 +53,10 @@ div.logo > a {
 
 /* Réduire la taille du texte de la colonne Objet */
 
-td[data-dash-column="objet"] {
+/*
+td[data-dash-column="objet"],td[data-dash-column="titulaire_nom"],td[data-dash-column="acheteur_nom"],  {
   font-size: 85%;
-}
+}*/
 
 /* Couleur des en-têtes */
 .dash-table-container
@@ -149,6 +150,35 @@ td[data-dash-column="objet"] {
   font-size: 90%;
 }
 
+/* Page de recherche */
+
+#search {
+  margin: 50px auto 0px auto;
+  width: 450px;
+  font-size: 18px;
+  height: 30px;
+  display: block;
+}
+
+.search_options {
+  margin: 16px auto;
+  width: 450px;
+}
+
+.search_options input {
+  margin-right: 12px;
+}
+
+.results_acheteur {
+  grid-column: 1;
+  grid-row: 1;
+}
+
+.results_titulaire {
+  grid-column: 2;
+  grid-row: 1;
+}
+
 /* Menu de navigation */
 
 .navbar {
@@ -178,7 +208,7 @@ summary > h3 {
   padding-top: 28px;
 }
 
-/* Vue acheteur/titulaire    */
+/* Vue acheteur/titulaire/recherche    */
 .wrapper {
   display: grid;
   grid-gap: 10px;
@@ -186,9 +216,6 @@ summary > h3 {
   justify-content: space-between;
 }
 
-.wrapper > div {
-}
-
 .org_title {
   grid-column: 1 / 3;
   grid-row: 1;
@@ -218,6 +245,11 @@ summary > h3 {
   grid-row: 2;
 }
 
+.org_top {
+  grid-column: 1/3;
+  grid-row: 3;
+}
+
 /* Vue marché */
 
 .marche_infos p {

src/callbacks.py

@@ -0,0 +1,65 @@
+import polars as pl
+from dash import dash_table, html
+
+from utils import add_links_in_dict, format_values, setup_table_columns
+
+
+def get_top_org_table(data, org_type: str):
+    dff = pl.DataFrame(data)
+    if dff.height == 0:
+        return html.Div()
+
+    dff = dff.select(
+        ["uid", f"{org_type}_id", f"{org_type}_nom", "distance", "montant"]
+    )
+    dff_nb = dff.group_by(f"{org_type}_id", f"{org_type}_nom", "distance").agg(
+        pl.len().alias("Attributions"), pl.sum("montant").alias("montant")
+    )
+    dff_nb = dff_nb.sort(by="montant", descending=True)
+    dff_nb = dff_nb.cast(pl.String)
+    dff_nb = dff_nb.fill_null("")
+    dff_nb = format_values(dff_nb)
+    columns, tooltip = setup_table_columns(
+        dff_nb, hideable=False, exclude=[f"{org_type}_id"]
+    )
+    data = dff_nb.to_dicts()
+    data = add_links_in_dict(data, f"{org_type}")
+
+    return dash_table.DataTable(
+        data=data,
+        markdown_options={"html": True},
+        page_action="native",
+        page_size=10,
+        columns=columns,
+        cell_selectable=False,
+        tooltip_header=tooltip,
+        style_cell_conditional=[
+            {
+                "if": {"column_id": "objet"},
+                "minWidth": "350px",
+                "textAlign": "left",
+                "overflow": "hidden",
+                "lineHeight": "14px",
+                "whiteSpace": "normal",
+                "fontSize": "85%",
+            },
+            {
+                "if": {"column_id": "acheteur_nom"},
+                "minWidth": "200px",
+                "textAlign": "left",
+                "overflow": "hidden",
+                "lineHeight": "16px",
+                # "fontSize": "85%",
+                "whiteSpace": "normal",
+            },
+            {
+                "if": {"column_id": "titulaire_nom"},
+                "minWidth": "200px",
+                "textAlign": "left",
+                "overflow": "hidden",
+                "lineHeight": "16px",
+                "whiteSpace": "normal",
+                # "fontSize": "85%",
+            },
+        ],
+    )

src/pages/acheteur.py

@@ -3,12 +3,13 @@ import datetime
 import polars as pl
 from dash import Input, Output, State, callback, dash_table, dcc, html, register_page
 
+from src.callbacks import get_top_org_table
 from src.figures import point_on_map
 from src.utils import (
     add_links_in_dict,
     df,
-    format_montant,
     format_number,
+    format_values,
     get_annuaire_data,
     get_departement_region,
     meta_content,
@@ -89,6 +90,13 @@ layout = [
                         ],
                     ),
                     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
@@ -146,22 +154,22 @@ def update_acheteur_infos(url):
     Input(component_id="acheteur_data", component_property="data"),
 )
 def update_acheteur_stats(data):
-    df = pl.DataFrame(data)
+    dff = pl.DataFrame(data)
-    if df.height == 0:
+    if dff.height == 0:
-        df = pl.DataFrame(schema=df.collect_schema())
+        dff = pl.DataFrame(schema=df.collect_schema())
-    df_marches = df.unique("id")
+    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 = df.unique("titulaire_id").height
+    nb_titulaires = dff.unique("titulaire_id").height
     nb_titulaires = [
         html.Strong(format_number(nb_titulaires)),
         " titulaires (SIRET) différents",
     ]
-    del df
+    del dff
 
     return marches_attribues, nb_titulaires
 
@@ -183,6 +191,7 @@ def get_acheteur_marches_data(url, acheteur_year: str) -> list[dict]:
         "titulaire_id",
         "titulaire_typeIdentifiant",
         "titulaire_nom",
+        "distance",
         "montant",
         "codeCPV",
         "dureeMois",
@@ -203,9 +212,11 @@ def get_acheteur_marches_data(url, acheteur_year: str) -> list[dict]:
 )
 def get_last_marches_table(data) -> html.Div:
     dff = pl.DataFrame(data)
+    if dff.height == 0:
+        return html.Div(html.P("Aucun marché trouvé."))
     dff = dff.cast(pl.String)
     dff = dff.fill_null("")
-    dff = format_montant(dff)
+    dff = format_values(dff)
     columns, tooltip = setup_table_columns(
         dff,
         hideable=False,
@@ -235,7 +246,7 @@ def get_last_marches_table(data) -> html.Div:
                     "minWidth": "300px",
                     "textAlign": "left",
                     "overflow": "hidden",
-                    "lineHeight": "14px",
+                    "lineHeight": "18px",
                     "whiteSpace": "normal",
                 },
                 {
@@ -252,6 +263,14 @@ def get_last_marches_table(data) -> html.Div:
     return table
 
 
+@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-acheteur-data", "data"),
     Input("btn-download-acheteur-data", "n_clicks"),

src/pages/marche.py

@@ -4,7 +4,7 @@ import polars as pl
 from dash import Input, Output, callback, dcc, html, register_page
 from polars import selectors as cs
 
-from src.utils import data_schema, df, format_montant, meta_content
+from src.utils import data_schema, df, format_values, meta_content
 
 register_page(
     __name__,
@@ -75,7 +75,7 @@ def get_marche_data(url) -> tuple[dict, list]:
 
     # Données du marché
     dff_marche = lff.unique("uid").collect(engine="streaming")
-    dff_marche = format_montant(dff_marche)
+    dff_marche = format_values(dff_marche)
 
     return dff_marche.to_dicts()[0], dff_titulaires.to_dicts()
 

src/pages/recherche.py

@@ -0,0 +1,105 @@
+from dash import Input, Output, callback, dash_table, dcc, html, register_page
+
+from src.utils import (
+    df_acheteurs,
+    df_titulaires,
+    meta_content,
+    search_org,
+    setup_table_columns,
+)
+
+name = "Recherche"
+
+register_page(
+    __name__,
+    path="/",
+    title=meta_content["title"],
+    name=name,
+    description=meta_content["description"],
+    image_url=meta_content["image_url"],
+    order=0,
+)
+
+layout = html.Div(
+    className="container",
+    children=[
+        dcc.Input(
+            id="search",
+            type="text",
+            placeholder="Nom d'acheteur, d'entreprise, SIREN...",
+            autoFocus=True,
+        ),
+        # html.Div(
+        #     className="search_options",
+        #     children=[dcc.RadioItems(options=["Acheteur(s)"])],
+        # ),
+        html.Div(id="search_results", className="wrapper"),
+    ],
+)
+
+
+@callback(
+    Output("search_results", "children"),
+    Input("search", "value"),
+    prevent_initial_call=True,
+)
+def update_search_results(query):
+    if len(query) >= 1:
+        content = []
+
+        for org_type in ["acheteur", "titulaire"]:
+            if org_type == "acheteur":
+                dff = df_acheteurs
+            elif org_type == "titulaire":
+                dff = df_titulaires
+            else:
+                raise ValueError(f"{org_type} is not supported")
+
+            # Search acheteurs and titulaires using the same function
+            results = search_org(dff, query, org_type=org_type)
+            count = results.height
+
+            # Format output
+            columns, tooltip = setup_table_columns(results, hideable=False)
+
+            org_content = [
+                html.Div(
+                    className=f"results_{org_type}",
+                    children=[
+                        html.H3(f"{org_type.title()}s : {count}"),
+                        dash_table.DataTable(
+                            columns=columns,
+                            data=results.to_dicts(),
+                            page_size=10,
+                            # style_table={"overflowX": "auto"},
+                            markdown_options={"html": True},
+                            cell_selectable=False,
+                            style_cell_conditional=[
+                                {
+                                    "if": {"column_id": "acheteur_nom"},
+                                    "maxWidth": "250px",
+                                    "textAlign": "left",
+                                    "overflow": "hidden",
+                                    "lineHeight": "18px",
+                                    "whiteSpace": "normal",
+                                },
+                                {
+                                    "if": {"column_id": "titulaire_nom"},
+                                    "maxWidth": "250px",
+                                    "textAlign": "left",
+                                    "overflow": "hidden",
+                                    "lineHeight": "18px",
+                                    "whiteSpace": "normal",
+                                },
+                            ],
+                        ),
+                    ],
+                )
+                if count > 0
+                else html.P(f"Aucun {org_type} trouvé."),
+            ]
+            content.extend(org_content)
+
+        return content
+    else:
+        return html.P("")

src/pages/tableau.py

@@ -9,8 +9,9 @@ from src.utils import (
     add_resource_link,
     df,
     filter_table_data,
-    format_montant,
     format_number,
+    format_values,
+    get_default_hidden_columns,
     meta_content,
     setup_table_columns,
     sort_table_data,
@@ -24,7 +25,7 @@ schema = df.collect_schema()
 name = "Tableau"
 register_page(
     __name__,
-    path="/",
+    path="/tableau",
     title=meta_content["title"],
     name=name,
     description=meta_content["description"],
@@ -52,7 +53,7 @@ datatable = html.Div(
                 "minWidth": "350px",
                 "textAlign": "left",
                 "overflow": "hidden",
-                "lineHeight": "14px",
+                "lineHeight": "18px",
                 "whiteSpace": "normal",
             },
             {
@@ -60,7 +61,7 @@ datatable = html.Div(
                 "minWidth": "250px",
                 "textAlign": "left",
                 "overflow": "hidden",
-                "lineHeight": "14px",
+                "lineHeight": "18px",
                 "whiteSpace": "normal",
             },
             {
@@ -68,7 +69,7 @@ datatable = html.Div(
                 "minWidth": "250px",
                 "textAlign": "left",
                 "overflow": "hidden",
-                "lineHeight": "14px",
+                "lineHeight": "18px",
                 "whiteSpace": "normal",
             },
         ],
@@ -76,6 +77,7 @@ datatable = html.Div(
         markdown_options={"html": True},
         tooltip_duration=8000,
         tooltip_delay=350,
+        hidden_columns=get_default_hidden_columns(schema),
     ),
 )
 
@@ -206,7 +208,7 @@ def update_table(page_current, page_size, filter_query, sort_by, data_timestamp)
     dff = add_resource_link(dff)
 
     # Formatage des montants
-    dff = format_montant(dff)
+    dff = format_values(dff)
 
     columns, tooltip = setup_table_columns(dff)
 

src/pages/titulaire.py

@@ -3,12 +3,13 @@ import datetime
 import polars as pl
 from dash import Input, Output, State, callback, dash_table, dcc, html, register_page
 
+from src.callbacks import get_top_org_table
 from src.figures import point_on_map
 from src.utils import (
     add_links_in_dict,
     df,
-    format_montant,
     format_number,
+    format_values,
     get_annuaire_data,
     get_departement_region,
     meta_content,
@@ -91,6 +92,13 @@ layout = [
                         ],
                     ),
                     html.Div(className="org_map", id="titulaire_map"),
+                    html.Div(
+                        className="org_top",
+                        children=[
+                            html.H3("Top acheteurs"),
+                            html.Div(className="marches_table", id="top10_acheteurs"),
+                        ],
+                    ),
                 ],
             ),
             # récupérer les données de l'acheteur sur l'api annuaire
@@ -161,7 +169,7 @@ def update_titulaire_stats(data):
     nb_acheteurs = dff.unique("acheteur_id").height
     nb_acheteurs = [
         html.Strong(format_number(nb_acheteurs)),
-        " titulaires (SIRET) différents",
+        " acheteurs (SIRET) différents",
     ]
     del dff
 
@@ -187,6 +195,7 @@ def get_titulaire_marches_data(url, titulaire_year: str) -> list[dict]:
         "dateNotification",
         "acheteur_id",
         "acheteur_nom",
+        "distance",
         "montant",
         "codeCPV",
         "dureeMois",
@@ -219,7 +228,7 @@ def get_last_marches_table(data) -> html.Div:
     dff = pl.DataFrame(data)
     dff = dff.cast(pl.String)
     dff = dff.fill_null("")
-    dff = format_montant(dff)
+    dff = format_values(dff)
     columns, tooltip = setup_table_columns(
         dff, hideable=False, exclude=["acheteur_id", "id"]
     )
@@ -249,7 +258,7 @@ def get_last_marches_table(data) -> html.Div:
                     "minWidth": "300px",
                     "textAlign": "left",
                     "overflow": "hidden",
-                    "lineHeight": "14px",
+                    "lineHeight": "18px",
                     "whiteSpace": "normal",
                 },
                 {
@@ -266,6 +275,14 @@ def get_last_marches_table(data) -> html.Div:
     return table
 
 
+@callback(
+    Output(component_id="top10_acheteurs", component_property="children"),
+    Input(component_id="titulaire_data", component_property="data"),
+)
+def get_top_acheteurs(data):
+    return get_top_org_table(data, "acheteur")
+
+
 @callback(
     Output("download-titulaire-data", "data"),
     Input("btn-download-titulaire-data", "n_clicks"),

src/utils.py

@@ -1,22 +1,19 @@
 import json
 import logging
 import os
-from time import sleep
+import uuid
+from time import localtime, sleep
 
 import polars as pl
 import polars.selectors as cs
-from httpx import get
+from httpx import get, post
+from polars import Schema
 from polars.exceptions import ComputeError
-
+from unidecode import unidecode
-operators = [
-    ["s<", "<"],
-    ["s>", ">"],
-    ["i<", "<"],
-    ["i>", ">"],
-    ["icontains", "contains"],
-]
 
 logger = logging.getLogger("decp.info")
+logging.getLogger("httpx").setLevel("WARNING")
+
 logging.basicConfig(
     format="%(asctime)s %(levelname)-8s %(message)s",
     level=logging.INFO,
@@ -25,6 +22,13 @@ logging.basicConfig(
 
 
 def split_filter_part(filter_part):
+    operators = [
+        ["s<", "<"],
+        ["s>", ">"],
+        ["i<", "<"],
+        ["i>", ">"],
+        ["icontains", "contains"],
+    ]
     print("filter part", filter_part)
     for operator_group in operators:
         if operator_group[0] in filter_part:
@@ -49,42 +53,60 @@ def add_resource_link(dff: pl.DataFrame) -> pl.DataFrame:
     return dff
 
 
-def add_links(dff: pl.DataFrame):
+def add_links(dff: pl.DataFrame, target: str = "_blank"):
-    dff = dff.with_columns(
+    for col in ["uid", "acheteur_nom", "titulaire_nom", "acheteur_id", "titulaire_id"]:
-        pl.when(pl.col("titulaire_typeIdentifiant") == "SIRET")
+        if col in dff.columns:
-        .then(
+            if col.startswith("titulaire_"):
-            '<a href = "/titulaires/'
+                dff = dff.with_columns(
-            + pl.col("titulaire_id")
+                    pl.when(
-            + '">'
+                        pl.Expr.or_(
-            + pl.col("titulaire_id")
+                            pl.col("titulaire_typeIdentifiant").is_null(),
-            + "</a>"
+                            pl.col("titulaire_typeIdentifiant") == "SIRET",
-        )
+                        )
-        .otherwise(pl.col("titulaire_id"))
+                    )
-        .alias("titulaire_id")
+                    .then(
-    )
+                        '<a href = "/titulaires/'
-
+                        + pl.col("titulaire_id")
-    for column, path in [("acheteur_id", "acheteurs"), ("uid", "marches")]:
+                        + f'" target="{target}">'
-        dff = dff.with_columns(
+                        + pl.col(col)
-            (
+                        + "</a>"
-                f'<a href = "/{path}/'
+                    )
-                + pl.col(column)
+                    .otherwise(pl.col(col))
-                + '" target="_blank">'
+                    .alias(col)
-                + pl.col(column)
+                )
-                + "</a>"
+            if col.startswith("acheteur_"):
-            ).alias(column)
+                dff = dff.with_columns(
-        )
+                    (
+                        '<a href = "/acheteurs/'
+                        + pl.col("acheteur_id")
+                        + f'" target="{target}">'
+                        + pl.col(col)
+                        + "</a>"
+                    ).alias(col)
+                )
+            if col == "uid":
+                dff = dff.with_columns(
+                    (
+                        '<a href = "/marches/'
+                        + pl.col("uid")
+                        + f'" target="{target}">'
+                        + pl.col("uid")
+                        + "</a>"
+                    ).alias("uid")
+                )
     return dff
 
 
-def add_links_in_dict(data: list, org_type: str) -> list:
+def add_links_in_dict(data: list[dict], org_type: str) -> list:
     new_data = []
     for marche in data:
         org_id = marche[org_type + "_id"]
         marche[org_type + "_nom"] = (
             f'<a href="/{org_type}s/{org_id}">{marche[org_type + "_nom"]}</a>'
         )
-        marche["id"] = f'<a href="/marches/{marche["uid"]}">{marche["id"]}</a>'
+        if marche.get("uid"):
-        marche["uid"] = f'<a href="/marches/{marche["uid"]}">{marche["uid"]}</a>'
+            marche["id"] = f'<a href="/marches/{marche["uid"]}">{marche["id"]}</a>'
+            marche["uid"] = f'<a href="/marches/{marche["uid"]}">{marche["uid"]}</a>'
         new_data.append(marche)
     return new_data
 
@@ -123,8 +145,8 @@ def format_number(number) -> str:
     return number
 
 
-def format_montant(dff: pl.DataFrame) -> pl.DataFrame:
+def format_values(dff: pl.DataFrame) -> pl.DataFrame:
-    def format_function(expr, scale=None):
+    def format_montant(expr, scale=None):
         # https://stackoverflow.com/a/78636786
         expr = expr.cast(pl.String)
         expr = expr.str.splitn(".", 2)
@@ -142,7 +164,7 @@ def format_montant(dff: pl.DataFrame) -> pl.DataFrame:
 
         frac: pl.Expr = (
             pl.when(frac.is_not_null() & ~frac.is_in(["0"]))
-            .then("," + frac)
+            .then("," + frac.str.head(2))
             .otherwise(pl.lit(""))
         )
 
@@ -154,7 +176,17 @@ def format_montant(dff: pl.DataFrame) -> pl.DataFrame:
 
         return montant
 
-    dff = dff.with_columns(pl.col("montant").pipe(format_function).alias("montant"))
+    def format_distance(expr):
+        expr = expr.cast(pl.String)
+        return pl.concat_str(expr, pl.lit(" km"))
+
+    if "montant" in dff.columns:
+        dff = dff.with_columns(pl.col("montant").pipe(format_montant).alias("montant"))
+    if "distance" in dff.columns:
+        dff = dff.with_columns(
+            pl.col("distance").pipe(format_distance).alias("distance")
+        )
+
     return dff
 
 
@@ -196,6 +228,18 @@ def get_decp_data() -> pl.DataFrame:
     return lff.collect()
 
 
+def get_org_data(dff: pl.DataFrame, org_type: str) -> pl.DataFrame:
+    lff = dff.lazy()
+    lff = lff.select(
+        "uid",
+        cs.starts_with(org_type).exclude(
+            f"{org_type}_latitude", f"{org_type}_longitude"
+        ),
+    )
+    lff = lff.group_by(cs.starts_with(org_type)).len("Marchés")
+    return lff.collect()
+
+
 def get_departements() -> dict:
     with open("data/departements.json", "rb") as f:
         data = json.load(f)
@@ -312,6 +356,20 @@ def setup_table_columns(dff, hideable: bool = True, exclude: list = None) -> tup
     return columns, tooltip
 
 
+def get_default_hidden_columns(schema: Schema):
+    displayed_columns = os.getenv("DISPLAYED_COLUMNS")
+    hidden_columns = []
+    if displayed_columns:
+        displayed_columns = displayed_columns.replace(" ", "").split(",")
+        for col in schema.names():
+            if col in displayed_columns:
+                continue
+            else:
+                hidden_columns.append(col)
+        return hidden_columns
+    raise ValueError("DISPLAYED_COLUMNS n'est pas configuré")
+
+
 def get_data_schema() -> dict:
     # Récupération du schéma des données tabulaires
     path = os.getenv("DATA_SCHEMA_PATH")
@@ -338,7 +396,114 @@ def get_data_schema() -> dict:
     return new_schema
 
 
+def track_search(query):
+    if (
+        len(query) >= 4
+        and os.getenv("DEVELOPMENT").lower != "true"
+        and os.getenv("MATOMO_DOMAIN")
+    ):
+        if os.getenv("DEVELOPMENT").lower() == "true":
+            url = "https://test.decp.info"
+        else:
+            url = "https://decp.info"
+        params = {
+            "idsite": os.getenv("MATOMO_ID_SITE"),
+            "url": url,
+            "rec": "1",
+            "action_name": "front_page_search",
+            "rand": uuid.uuid4().hex,
+            "apiv": "1",
+            "h": localtime().tm_hour,
+            "m": localtime().tm_min,
+            "s": localtime().tm_sec,
+            "search": query,
+            "token_auth": os.getenv("MATOMO_TOKEN"),
+        }
+        post(
+            url=f"https://{os.getenv('MATOMO_DOMAIN')}/matomo.php",
+            params=params,
+        ).raise_for_status()
+
+
+def search_org(dff: pl.DataFrame, query: str, org_type: str) -> pl.DataFrame:
+    """
+    Search in either 'acheteur' or 'titulaire' DataFrame.
+
+    :param dff: Polars DataFrame with acheteur or titulaire columns
+    :param query: User search string
+    :param org_type: 'acheteur' or 'titulaire'
+    :return: Filtered DataFrame with 'matches' column
+    """
+    if not query.strip():
+        return dff.select(pl.lit(False).alias("matches"))
+
+    # Enregistrement des recherche dans Matomo
+    track_search(query)
+
+    # Normalize query
+    normalized_query = unidecode(query.strip()).upper()
+    tokens = [" " + t.strip() for t in normalized_query.split() if t.strip()]
+
+    # Define columns based on entity type
+    cols = [
+        f"{org_type}_id",
+        f"{org_type}_nom",
+        f"{org_type}_departement_nom",
+        f"{org_type}_departement_code",
+        f"{org_type}_commune_nom",
+    ]
+
+    # Concatenate all fields into one string per row
+    org_str = pl.concat_str(pl.lit(" "), pl.col(cols), separator=" ")
+
+    # For each token, create a boolean column: True if token is found
+    token_matches = []
+    for token in tokens:
+        token_match = org_str.str.contains(token).alias(f"token_{token}")
+        token_matches.append(token_match)
+
+    # Count how many tokens match per row
+    match_score = pl.sum_horizontal(token_matches).alias("match_score")
+
+    # For each token, create a boolean column: True if token is found
+    token_matches = []
+    for token in tokens:
+        token_match = org_str.str.contains(token).alias(f"token_{token}")
+        token_matches.append(token_match)
+
+    # Sélection des colonnes
+    if org_type == "acheteur":
+        dff = dff.select(cols + ["Marchés"])
+    if org_type == "titulaire":
+        dff = dff.select(cols + ["Marchés", "titulaire_typeIdentifiant"])
+
+    # Apply and filter
+    dff = (
+        dff.with_columns(token_matches + [match_score])
+        .filter(pl.col("match_score") == len(tokens))
+        .sort("Marchés", descending=True)
+        .drop([f"token_{token}" for token in tokens])
+    )
+
+    # Format result
+    dff = add_links(dff, target="")
+    dff = dff.with_columns(
+        pl.concat_str(
+            pl.col(f"{org_type}_departement_nom"),
+            pl.lit(" ("),
+            pl.col(f"{org_type}_departement_code"),
+            pl.lit(")"),
+        ).alias("Département")
+    )
+
+    dff = dff.select(f"{org_type}_id", f"{org_type}_nom", "Département", "Marchés")
+
+    return dff
+
+
 df: pl.DataFrame = get_decp_data()
+df_acheteurs = get_org_data(df, "acheteur")
+df_titulaires = get_org_data(df, "titulaire")
 departements = get_departements()
 domain_name = (
     "test.decp.info" if os.getenv("DEVELOPMENT").lower() == "true" else "decp.info"