fix: fix tests

.github/workflows/test.yml

@@ -4,12 +4,13 @@ jobs:
   test:
     runs-on: ubuntu-latest
     container:
-      image: ckan/ckan-dev:2.10.3
+      image: ckan/ckan-dev:2.10-py3.10
+      options: --user root
     services:
       solr:
         image: ckan/ckan-solr:2.10
       postgres:
-        image: ckan/ckan-postgres-dev:2.9
+        image: ckan/ckan-postgres-dev:2.10
         env:
           POSTGRES_USER: postgres
           POSTGRES_PASSWORD: postgres
@@ -30,7 +31,7 @@ jobs:
       # Install any extra requirements your extension has here (dev requirements, other extensions etc)
       run: |
         pip install --upgrade pip
-        pip install -e '.[dev]'
+        pip install -e '.[dev, pyarrow]'
     - name: Setup extension
       # Extra initialization steps
       run: |

ckanext/charts/chart_builders/chartjs.py

@@ -360,7 +360,7 @@ def to_json(self) -> str:
         }
 
         dataset_data = []
-        max_size = self.df[self.settings["size"]].max()
+        size_max = self.df[self.settings["size"]].max()
 
         for _, data_series in self.df.iterrows():
             for field in [self.settings["y"]]:
@@ -370,7 +370,7 @@ def to_json(self) -> str:
                             data_series[self.settings["x"]],
                         ),
                         "y": self.convert_to_native_types(data_series[field]),
-                        "r": self._calculate_bubble_radius(data_series, max_size),
+                        "r": self._calculate_bubble_radius(data_series, size_max),
                     },
                 )
 
@@ -381,22 +381,22 @@ def to_json(self) -> str:
 
         return json.dumps(self._configure_date_axis(data))
 
-    def _calculate_bubble_radius(self, data_series: pd.Series, max_size: int) -> int:
+    def _calculate_bubble_radius(self, data_series: pd.Series, size_max: int) -> int:
         """Calculate bubble radius based on the size column"""
         size_column: str = self.settings["size"]
 
-        # Handle cases where max_size is zero or NaN values are present
+        # Handle cases where size_max is zero or NaN values are present
         # or the column is not numeric
         try:
-            pd.to_numeric(max_size)
+            pd.to_numeric(size_max)
         except ValueError as e:
             raise ChartBuildError(f"Column '{size_column}' is not numeric") from e
 
-        if max_size == 0 or np.isnan(max_size):
+        if size_max == 0 or np.isnan(size_max):
             bubble_radius = self.min_bubble_radius
         else:
             data_series_size = np.nan_to_num(data_series[size_column], nan=0)
-            bubble_radius = (data_series_size / max_size) * 30
+            bubble_radius = (data_series_size / size_max) * 30
 
         if bubble_radius < self.min_bubble_radius:
             bubble_radius = self.min_bubble_radius

ckanext/charts/tests/test_builders.py

@@ -85,6 +85,9 @@ def test_build_scatter(self, data_frame):
                 "engine": "plotly",
                 "x": "name",
                 "y": "age",
+                "size": "age",
+                "size_max": 10
+
             },
             data_frame,
         )

pyproject.toml

@@ -30,6 +30,8 @@ dependencies = [
              "pandas>=2.0.0,<=2.1.4",
              "plotly>=5.21.0,<6.0.0",
              "redis>=5.0.0,<6.0.0",
+             "openpyxl>=3.1.2,<4.0.0",
+             "xlrd>=2.0.1,<3.0.0",
              "ckanext-scheming",
 ]
 license = {text = "AGPL"}