fix: macro impacts API returns {exposure_profile, impacts} to match frontend type

API was returning a flat array but frontend expects CompanyMacroImpacts
wrapper with exposure_profile and impacts fields. Also queries the
exposure_profiles table for the company's active profile.

services/api/app.py

@@ -2289,12 +2289,37 @@ async def get_macro_impacts_for_ticker(
     limit: int = Query(default=50, le=200),
     offset: int = 0,
 ):
-    """Macro impacts for a specific company.
+    """Macro impacts and exposure profile for a specific company.
+
+    Returns { exposure_profile, impacts } matching the frontend
+    CompanyMacroImpacts type.
 
     Requirements: 8.2
     """
+    ticker_upper = ticker.upper()
+
+    # Fetch exposure profile for this company
+    profile_row = await pool.fetchrow(
+        """SELECT ep.id, ep.company_id, ep.geographic_revenue_mix,
+                  ep.supply_chain_regions, ep.key_input_commodities,
+                  ep.regulatory_jurisdictions, ep.market_position_tier,
+                  ep.export_dependency_pct, ep.source, ep.confidence,
+                  ep.version, ep.active, ep.created_at, ep.updated_at
+           FROM exposure_profiles ep
+           JOIN companies c ON c.id = ep.company_id
+           WHERE c.ticker = $1 AND ep.active = TRUE
+           ORDER BY ep.version DESC LIMIT 1""",
+        ticker_upper,
+    )
+    exposure_profile = _row_to_dict(profile_row) if profile_row else None
+    if exposure_profile:
+        exposure_profile["geographic_revenue_mix"] = _parse_jsonb(
+            exposure_profile.get("geographic_revenue_mix")
+        )
+
+    # Fetch macro impact records
     conditions = ["mir.ticker = $1"]
-    params: list[Any] = [ticker.upper()]
+    params: list[Any] = [ticker_upper]
     idx = 2
 
     if since:
@@ -2317,12 +2342,16 @@ async def get_macro_impacts_for_ticker(
             LIMIT ${idx} OFFSET ${idx + 1}""",
         *params, limit, offset,
     )
-    results = []
+    impacts = []
     for r in rows:
         d = _row_to_dict(r)
         d["contributing_factors"] = _parse_jsonb(d.get("contributing_factors"))
-        results.append(d)
-    return results
+        impacts.append(d)
+
+    return {
+        "exposure_profile": exposure_profile,
+        "impacts": impacts,
+    }
 
 
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