feat(api): extend /api/health with model load diagnostics

src/climatevision/api/main.py

@@ -10,7 +10,7 @@
 """
 
 from __future__ import annotations
-
+                                    
 import json
 import logging
 import time
@@ -422,13 +422,27 @@ def health() -> dict[str, Any]:
                 )
 
         health_status = "ok" if not config_issues else "degraded"
+          model_diagnostics: dict[str, Any] = {}
+          from climatevision.inference.pipeline import _load_model, _find_best_checkpoint
+          for atype in enabled_types:
+                    name = atype["name"]
+                    mstatus: dict[str, Any] = {"loaded": False, "path": None, "error": None}
+                    try:
+                                  _load_model(name)
+                                  mp = _find_best_checkpoint(name)
+                                  mstatus["loaded"] = True
+                                  mstatus["path"] = str(mp) if mp else None
+                              except Exception as exc:
+                                            mstatus["error"] = str(exc)
+                                        model_diagnostics[name] = mstatus
 
         return {
             "status": health_status,
             "version": "0.2.0",
             "analysis_types": [t["name"] for t in enabled_types],
             "config_valid": len(config_issues) == 0,
             "config_issues": config_issues,
+                  "model_diagnostics": model_diagnostics,
         }
 
     @app.get("/api/analysis-types")