feat: add get_distance_histogram figure function

Implement get_distance_histogram that creates a histogram of titulaire distances
with logarithmic scale. Add 3 unit tests covering basic functionality, null handling,
and edge cases. Also add DATA_SCHEMA_PATH to pytest env config.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

pyproject.toml

@@ -42,6 +42,7 @@ testpaths = [
 ]
 env = [
     "DATA_FILE_PARQUET_PATH=tests/test.parquet",
-    "DEVELOPMENT=true"
+    "DEVELOPMENT=true",
+    "DATA_SCHEMA_PATH=/home/colin/git/decp-processing/dist/schema.json"
 ]
 addopts = "-p no:warnings"

src/figures.py

@@ -579,6 +579,24 @@ def make_clusters_map(region: dict) -> dl.Map:
     return leaflet_map
 
 
+def get_distance_histogram(lff: pl.LazyFrame) -> dcc.Graph:
+    dff = lff.select("titulaire_distance").drop_nulls().collect()
+    dff = dff.with_columns(pl.col("titulaire_distance").log(10))
+    fig = px.histogram(
+        dff,
+        x="titulaire_distance",
+        nbins=50,
+        labels={"titulaire_distance": "Distance (km)"},
+    )
+    fig.update_xaxes(
+        tickvals=[0, 1, 2, 3, 4],
+        ticktext=["1", "10", "100", "1 000", "10 000"],
+        title_text="Distance (km)",
+    )
+    fig.update_yaxes(title_text="Nombre de marchés")
+    return dcc.Graph(figure=fig)
+
+
 def make_card(
     title: str, subtitle=None, fig=None, paragraphs=None, lg=6, xl=4
 ) -> dbc.Col:

tests/test_main.py

@@ -302,3 +302,36 @@ def test_009_observatoire_filter_persistence(dash_duo: DashComposite):
     assert acheteur_input.get_attribute("value") == "123", (
         "URL param acheteur_id should override the value stored in localStorage"
     )
+
+
+def test_get_distance_histogram_returns_graph():
+    import polars as pl
+    from dash import dcc
+
+    from src.figures import get_distance_histogram
+
+    lff = pl.LazyFrame({"titulaire_distance": [1, 10, 100, 500, 1000]})
+    result = get_distance_histogram(lff)
+    assert isinstance(result, dcc.Graph)
+
+
+def test_get_distance_histogram_handles_nulls():
+    import polars as pl
+    from dash import dcc
+
+    from src.figures import get_distance_histogram
+
+    lff = pl.LazyFrame({"titulaire_distance": [None, None, 50]})
+    result = get_distance_histogram(lff)
+    assert isinstance(result, dcc.Graph)
+
+
+def test_get_distance_histogram_all_nulls():
+    import polars as pl
+    from dash import dcc
+
+    from src.figures import get_distance_histogram
+
+    lff = pl.LazyFrame({"titulaire_distance": pl.Series([], dtype=pl.Int64)})
+    result = get_distance_histogram(lff)
+    assert isinstance(result, dcc.Graph)