Import Transition Network groups

hub/management/commands/generate_transition_network_groups_csv.py

@@ -0,0 +1,52 @@
+from django.conf import settings
+
+import pandas as pd
+import requests
+
+from .base_generators import BaseLatLonGeneratorCommand
+
+
+class Command(BaseLatLonGeneratorCommand):
+    help = (
+        "Generate CSV file of Transition Network groups with constituency information"
+    )
+    message = "Generating a CSV of Transition Network groups"
+
+    out_file = settings.BASE_DIR / "data" / "transition_network_groups.csv"
+
+    row_name = "group_name"
+    uses_gss = True
+
+    def get_dataframe(self):
+        url = "https://maps.transitionnetwork.org/wp-json/cds/v1/initiatives/?country=GB&per_page=999"
+        try:
+            response = requests.get(url)
+            response.raise_for_status()
+            data = response.json()
+        except requests.RequestException as e:
+            print(f"Error reading remote file {url}: {e}")
+            return None
+
+        rows = []
+        for i, item in enumerate(data["body"]):
+            location = item.get("location", {})
+            contact = item.get("contact", {})
+            if location.get("lat") and location.get("lng"):
+                rows.append(
+                    {
+                        "transition_network_id": item.get("id"),
+                        "transition_network_url": item.get("url"),
+                        "group_name": item.get("title"),
+                        "group_url": contact.get("website"),
+                        "group_facebook": contact.get("facebook"),
+                        "lat_lon": f"{location.get('lat')},{location.get('lng')}",
+                        "lat": location.get("lat"),
+                        "lon": location.get("lng"),
+                    }
+                )
+            else:
+                print(
+                    f"Group {i}, {item.get('title')} has no lat/lon so will be ignored"
+                )
+
+        return pd.DataFrame(rows)

hub/management/commands/import_transition_network_groups.py

@@ -0,0 +1,102 @@
+from datetime import date
+
+from django.conf import settings
+
+import pandas as pd
+
+from hub.models import DataSet
+
+from .base_importers import (
+    BaseConstituencyGroupListImportCommand,
+    MultipleAreaTypesMixin,
+)
+
+
+class Command(MultipleAreaTypesMixin, BaseConstituencyGroupListImportCommand):
+    help = "Import Transition Network groups"
+    message = "Importing Transition Network groups"
+
+    data_file = settings.BASE_DIR / "data" / "transition_network_groups.csv"
+
+    uses_gss = True
+    area_types = ["WMC", "WMC23", "STC", "DIS"]
+    cons_col_map = {
+        "WMC": "WMC",
+        "WMC23": "WMC23",
+        "STC": "STC",
+        "DIS": "DIS",
+    }
+    defaults = {
+        "label": "Transition Network groups",
+        "data_type": "json",
+        "category": "movement",
+        "subcategory": "groups",
+        "release_date": str(date.today()),
+        "source_label": "Data from Transition Network contributors under Open Database Licence.",
+        "source": "https://maps.transitionnetwork.org/",
+        "source_type": "api",
+        "data_url": "https://maps.transitionnetwork.org/wp-json/cds/v1/initiatives/?country=GB&per_page=999",
+        "table": "areadata",
+        "default_value": {},
+        "exclude_countries": [],
+        "is_filterable": False,
+        "is_shadable": False,
+        "comparators": DataSet.comparators_default(),
+        "unit_type": "point",
+        "unit_distribution": "point",
+    }
+
+    count_defaults = {
+        "label": "Number of Transition Network groups",
+        "data_type": "integer",
+        "category": "movement",
+        "release_date": str(date.today()),
+        "source_label": "Data from Transition Network contributors under Open Database Licence.",
+        "source": "https://maps.transitionnetwork.org/",
+        "source_type": "api",
+        "data_url": "https://maps.transitionnetwork.org/wp-json/cds/v1/initiatives/?country=GB&per_page=999",
+        "table": "areadata",
+        "default_value": 0,
+        "exclude_countries": [],
+        "is_filterable": True,
+        "is_shadable": True,
+        "comparators": DataSet.numerical_comparators(),
+        "unit_type": "point",
+        "unit_distribution": "point",
+    }
+
+    data_sets = {
+        "constituency_transition_groups": {
+            "defaults": defaults,
+        },
+        "constituency_transition_group_count": {
+            "defaults": count_defaults,
+        },
+    }
+
+    group_data_type = "constituency_transition_groups"
+    count_data_type = "constituency_transition_group_count"
+
+    def get_df(self):
+        if self.data_file.exists() is False:
+            return None
+
+        df = pd.read_csv(self.data_file)
+
+        # Remove columns we don't need, and rename one we do.
+        df = df.rename(
+            columns={
+                "transition_network_url": "url"  # for automatic chip linking in template
+            }
+        ).drop(
+            columns=[
+                "transition_network_id",
+                "group_url",
+                "group_facebook",
+            ]
+        )
+
+        return df
+
+    def get_group_json(self, row):
+        return row[["group_name", "url"]].dropna().to_dict()

hub/views/area.py

@@ -358,6 +358,7 @@ def get_context_data(self, **kwargs):
             "constituency_nt_properties_count": "constituency_nt_properties",
             "constituency_wi_group_count": "constituency_wi_groups",
             "constituency_foe_group_count": "constituency_foe_groups",
+            "constituency_transition_group_count": "constituency_transition_groups",
             "power_postcodes_count": "power_postcodes",
             "tcc_open_letter_signatories_count": "tcc_open_letter_signatories",
             "wildlife_trusts_reserves_count": "wildlife_trusts_reserves",