DATASET: Christian aid campaign organisers

hub/management/commands/import_christian_aid_campaign_organisers.py

@@ -0,0 +1,62 @@
+from django.conf import settings
+
+import pandas as pd
+
+from hub.models import AreaData, DataSet
+
+from .base_importers import BaseImportFromDataFrameCommand
+
+
+class Command(BaseImportFromDataFrameCommand):
+    help = (
+        "Import data about number of Christian Aid campaign organisers per constituency"
+    )
+
+    data_file = (
+        settings.BASE_DIR
+        / "data"
+        / "Christian Aid climate campaign organisers - Data.csv"
+    )
+    cons_row = "Constituency"
+    message = "Importing Christian Aid climate campaign organisers data"
+    uses_gss = False
+
+    defaults = {
+        "data_type": "integer",
+        "category": "movement",
+        "subcategory": "supporters_and_activists",
+        "description": "Campaign organisers are constituents trained by Christian Aid to campaign for climate justice in their local church and community.",
+        "release_date": "February 2023",
+        "source_label": "Data from Christian Aid.",
+        "source": "https://www.christianaid.org.uk/",
+        "source_type": "google sheet",
+        "table": "areadata",
+        "default_value": 1,
+        "data_url": "",
+        "unit_type": "raw",
+        "unit_distribution": "people_in_area",
+        "comparators": DataSet.numerical_comparators(),
+    }
+
+    data_sets = {
+        "constituency_christian_aid_campaign_organisers_count": {
+            "defaults": defaults,
+            "col": "organisers",
+        },
+    }
+
+    def get_dataframe(self):
+        df = pd.read_csv(self.data_file)
+        df = (
+            df.groupby("Constituency")
+            .count()
+            .reset_index()
+            .rename(columns={"Postcode": "organisers"})
+        )
+        return df
+
+    def get_label(self, defaults):
+        return "Number of Christian Aid climate campaign organisers"
+
+    def delete_data(self):
+        AreaData.objects.filter(data_type__in=self.data_types.values()).delete()

hub/migrations/0054_increase_dataset_name_length.py

@@ -0,0 +1,23 @@
+# Generated by Django 4.2.5 on 2024-01-08 17:11
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ("hub", "0053_alter_dataset_release_date"),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name="dataset",
+            name="name",
+            field=models.CharField(max_length=100, unique=True),
+        ),
+        migrations.AlterField(
+            model_name="datatype",
+            name="name",
+            field=models.CharField(max_length=100),
+        ),
+    ]

hub/models.py

@@ -333,7 +333,7 @@ def in_comparators():
     def options_default():
         return []
 
-    name = models.CharField(max_length=50, unique=True)
+    name = models.CharField(max_length=100, unique=True)
     description = models.TextField(blank=True, null=True)
     label = models.CharField(max_length=200, blank=True, null=True)
     data_type = models.CharField(max_length=20, choices=TypeMixin.TYPE_CHOICES)
@@ -400,7 +400,7 @@ def filter(self, query, **kwargs):
 
 class DataType(TypeMixin, ShaderMixin, models.Model):
     data_set = models.ForeignKey(DataSet, on_delete=models.CASCADE)
-    name = models.CharField(max_length=50)
+    name = models.CharField(max_length=100)
     data_type = models.CharField(max_length=20, choices=TypeMixin.TYPE_CHOICES)
     last_update = models.DateTimeField(auto_now=True)
     average = models.FloatField(blank=True, null=True)