feat(api): expose GIAS establishment status on school payloads

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

backend/app.py

@@ -604,6 +604,7 @@ async def get_school_details(request: Request, urn: int):
             "religious_denomination": latest.get("religious_denomination", ""),
             "age_range": latest.get("age_range", ""),
             "has_sixth_form": latest.get("has_sixth_form"),
+            "status": latest.get("status"),
             "latitude": latest.get("latitude"),
             "longitude": latest.get("longitude"),
             "phase": latest.get("phase"),

backend/data_loader.py

@@ -129,6 +129,7 @@ _MAIN_QUERY = text("""
         s.gender,
         s.age_range,
         s.has_sixth_form,
+        s.status,
         s.admissions_policy,
         s.capacity,
         s.total_pupils         AS gias_total_pupils,

backend/schemas.py

@@ -544,6 +544,7 @@ SCHOOL_COLUMNS = [
     "religious_denomination",
     "age_range",
     "has_sixth_form",
+    "status",
     "gender",
     "admissions_policy",
     "ofsted_grade",

backend/tests/test_school_status.py

@@ -0,0 +1,70 @@
+"""Tests for GIAS establishment status exposure.
+
+"Open, but proposed to close" schools are now kept by the dims; the API must
+surface `status` on list items and school_info so the UI can render the
+proposed-to-close marker (listing tag) and notice strip (detail page).
+"""
+
+import numpy as np
+import pandas as pd
+import pytest
+from fastapi.testclient import TestClient
+
+PROPOSED = "Open, but proposed to close"
+
+
+def _schools_df() -> pd.DataFrame:
+    base = {
+        "local_authority": "Testshire",
+        "school_type": "Academy",
+        "phase": "Secondary",
+        "address": "1 Test Street",
+        "town": "Testtown",
+        "postcode": "TS1 1AA",
+        "religious_denomination": None,
+        "gender": "Mixed",
+        "age_range": "11-16",
+        "admissions_policy": None,
+        "has_sixth_form": False,
+        "ofsted_grade": np.nan,
+        "ofsted_date": None,
+        "ofsted_framework": None,
+        "latitude": 51.5,
+        "longitude": -0.1,
+        "year": 202425,
+        "total_pupils": 800,
+        "rwm_expected_pct": np.nan,
+        "attainment_8_score": 48.0,
+    }
+    return pd.DataFrame(
+        [
+            {**base, "urn": 200001, "school_name": "Alpha Academy",
+             "status": "Open"},
+            {**base, "urn": 200002, "school_name": "Sarson High School",
+             "status": PROPOSED},
+        ]
+    )
+
+
+@pytest.fixture()
+def client(monkeypatch):
+    from backend import app as app_module
+
+    monkeypatch.setattr(app_module, "load_latest_school_data", _schools_df)
+    monkeypatch.setattr(app_module, "load_school_data", _schools_df)
+    monkeypatch.setattr(app_module, "get_supplementary_data", lambda db, urn: {})
+    return TestClient(app_module.app, raise_server_exceptions=False)
+
+
+def test_list_payload_includes_status(client):
+    resp = client.get("/api/schools")
+    assert resp.status_code == 200, resp.text
+    by_urn = {s["urn"]: s for s in resp.json()["schools"]}
+    assert by_urn[200001]["status"] == "Open"
+    assert by_urn[200002]["status"] == PROPOSED
+
+
+def test_detail_payload_includes_status(client):
+    resp = client.get("/api/schools/200002")
+    assert resp.status_code == 200, resp.text
+    assert resp.json()["school_info"]["status"] == PROPOSED