Add MCP AI assistant

api/data_loader_pg.py

@@ -114,7 +114,11 @@ def _shape_run_record(row) -> Dict[str, Any]:
     rec = dict(row)
     for ts_field in ("run_date", "created_at"):
         if rec.get(ts_field):
-            rec[ts_field] = rec[ts_field].isoformat()
+            rec[ts_field] = (
+                rec[ts_field].isoformat()
+                if hasattr(rec[ts_field], "isoformat")
+                else str(rec[ts_field])
+            )
     rec["features"] = {
         "Etch_AvgO2Flow":   rec.pop("etch_avgo2flow",   None),
         "Etch_Avg_Rf1_Pow": rec.pop("etch_avg_rf1_pow", None),
@@ -518,7 +522,7 @@ def get_projects_list_pg(nanohub_user_id: Optional[str] = None, is_admin: bool =
         records = []
         for row in rows:
             rec = dict(row)
-            if rec.get('created'):
+            if rec.get('created') and hasattr(rec['created'], "isoformat"):
                 rec['created'] = rec['created'].isoformat()
             records.append(rec)
 

api/db_mock.py

@@ -20,7 +20,13 @@ def execute(self, query: str, params: Optional[Any] = None):
         logger.info(f"[DB-MOCK] Executing query: {query[:100]}...")
 
         # Extremely simple query router for the simulation
-        if "from projects" in query:
+        if "from equipment_metadata" in query:
+            self.results = self.data.get("equipment_metadata", [])
+        elif "from experiment_types" in query:
+            self.results = self.data.get("experiment_types", [])
+        elif "from process_definitions" in query:
+            self.results = self.data.get("process_definitions", [])
+        elif "from projects" in query:
             self.results = self.data.get("projects", [])
         elif "from project_members" in query:
             self.results = self.data.get("project_members", [])

api/local_data/mock_pg_data.json

@@ -28,14 +28,119 @@
       "role": "pi"
     }
   ],
+  "equipment_metadata": [
+    {
+      "domain_id": "etcher",
+      "equipment_name": "PlasmaTherm ICP Etcher",
+      "equipment_type": "Etching",
+      "manufacturer": "PlasmaTherm",
+      "model": "ICP",
+      "location": "Birck Nanotechnology Center",
+      "serial_number": "DEMO-ETCHER",
+      "description": "Mock ICP etcher record for local Digital Twin testing.",
+      "source_type": "postgresql",
+      "connection_host": "localhost",
+      "connection_port": "5432",
+      "connection_database": "digital_twin",
+      "dt_mode": "full",
+      "outlier_method": "zscore",
+      "outlier_threshold": 3.0,
+      "owner_id": "ngholiza",
+      "owner_org": "Birck Nanotechnology Center",
+      "status": "approved",
+      "registered_at": "2026-04-18T20:00:00Z",
+      "updated_at": "2026-04-18T20:00:00Z",
+      "parameters_json": [
+        {"id": "etch_avg_rf1_pow", "name": "RF1 Power", "unit": "W"},
+        {"id": "etch_avgpres", "name": "Pressure", "unit": "mTorr"}
+      ],
+      "columns_json": [],
+      "features_json": [],
+      "primary_target_json": {"id": "avg_etch_rate", "name": "Average Etch Rate", "unit": "nm/min"},
+      "secondary_target_json": {"id": "range_nm", "name": "Range", "unit": "nm"},
+      "config_json": {
+        "outputs": [
+          {"id": "avg_etch_rate", "name": "Average Etch Rate", "unit": "nm/min"},
+          {"id": "range_nm", "name": "Range", "unit": "nm"}
+        ],
+        "operational_metadata": {"status": "available"}
+      }
+    }
+  ],
+  "experiment_types": [
+    {
+      "id": "unit_icp_etch_demo",
+      "name": "ICP Etch Unit Experiment",
+      "description": "Mock unit experiment for ICP etching.",
+      "scientific_objective": "Tune etch rate while controlling range.",
+      "equipment_id": "etcher",
+      "type_parameters_json": [
+        {"id": "etch_avg_rf1_pow", "name": "RF1 Power", "unit": "W"},
+        {"id": "etch_avgpres", "name": "Pressure", "unit": "mTorr"}
+      ],
+      "outputs_json": [
+        {"id": "avg_etch_rate", "name": "Average Etch Rate", "unit": "nm/min"},
+        {"id": "range_nm", "name": "Range", "unit": "nm"}
+      ],
+      "additional_inputs_json": [],
+      "visibility": "shared",
+      "version": 1,
+      "pid": "DT-ET-DEMO",
+      "parent_id": "",
+      "forked_from": "",
+      "author_name": "N. Gholiza",
+      "author_email": "ngholiza@purdue.edu",
+      "primary_target": "avg_etch_rate",
+      "primary_objective": "maximize",
+      "secondary_target": "range_nm",
+      "secondary_objective": "minimize",
+      "owner_id": "ngholiza",
+      "owner_org": "Birck Nanotechnology Center",
+      "created_at": "2026-04-18T20:00:00Z",
+      "updated_at": "2026-04-18T20:00:00Z"
+    }
+  ],
+  "process_definitions": [
+    {
+      "id": "process_icp_etch_demo",
+      "name": "ICP Etch Demo Process",
+      "description": "Mock reusable process for ICP etch optimization.",
+      "visibility": "shared",
+      "status": "active",
+      "version": 1,
+      "pid": "DT-PROC-DEMO",
+      "owner_id": "ngholiza",
+      "owner_org": "Birck Nanotechnology Center",
+      "created_at": "2026-04-18T20:00:00Z",
+      "updated_at": "2026-04-18T20:00:00Z",
+      "step_summary": [
+        {
+          "id": "step_icp_etch_demo",
+          "process_id": "process_icp_etch_demo",
+          "type_id": "unit_icp_etch_demo",
+          "sequence_index": 1,
+          "upstream_type_id": "",
+          "handoff_type": "manual",
+          "handoff_description": "Run ICP etch and inspect output metrics.",
+          "output_mapping": {},
+          "unit_experiment_name": "ICP Etch Unit Experiment",
+          "equipment_id": "etcher"
+        }
+      ]
+    }
+  ],
   "etcher_runs": [
     {
       "idruns": 999999,
+      "run_id": 999999,
       "project_id": "project_demo",
       "lotname": "etch04/18/2026_SIM_01",
+      "lot_name": "etch04/18/2026_SIM_01",
       "run_date": "2026-04-19T00:45:57Z",
+      "created_at": "2026-04-19T00:45:57Z",
       "is_outlier": true,
       "is_calibration_recipe": false,
+      "is_calibration": false,
       "outlier_type": "simulation_mock",
       "avg_etch_rate": 195.5,
       "range_etch_rate": 3.0,
@@ -44,7 +149,12 @@
       "etch_avg_rf1_pow": 400.0,
       "etch_avg_rf2_pow": 50.0,
       "etch_avgpres": 25.0,
-      "etch_avgcf4flow": 50.0
+      "etch_avgcf4flow": 50.0,
+      "project_name": "Simulation Demo Project",
+      "equipment_id": "etcher",
+      "equipment_name": "PlasmaTherm ICP Etcher",
+      "pi_name": "N. Gholiza",
+      "project_access": "open"
     }
   ]
 }

geddes/k8s/04-ingress.yaml

@@ -20,7 +20,16 @@ spec:
             port:
               number: 3000
 
-      # 2. Next longest match: /api/dt goes to Next.js server-side proxy
+      # 2. Next longest match: /api/mcp goes to Next.js MCP endpoint
+      - path: /api/mcp
+        pathType: Prefix
+        backend:
+          service:
+            name: dt-web
+            port:
+              number: 3000
+
+      # 3. Next longest match: /api/dt goes to Next.js server-side proxy
       - path: /api/dt
         pathType: Prefix
         backend:
@@ -29,7 +38,7 @@ spec:
             port:
               number: 3000
 
-      # 3. Next longest match: /api goes to FastAPI
+      # 4. Next longest match: /api goes to FastAPI
       # FastAPI is natively configured to handle /api routes so no rewrite is needed!
       - path: /api
         pathType: Prefix
@@ -39,7 +48,7 @@ spec:
             port:
               number: 8000
 
-      # 4. Default match: / goes to Next.js Web App
+      # 5. Default match: / goes to Next.js Web App
       - path: /
         pathType: Prefix
         backend: