checkpoint

⚒️ Generated with [Fabro](https://fabro.sh)

run.json

@@ -760,7 +760,7 @@
     "kind": "running"
   },
   "status_updated_at": "2026-06-04T18:37:50.931347Z",
-  "last_event_at": "2026-06-04T18:51:07.327718Z",
+  "last_event_at": "2026-06-04T18:51:10.662009Z",
   "pending_control": null,
   "checkpoints": [
     {
@@ -1694,8 +1694,8 @@
     {
       "seq": 0,
       "checkpoint": {
-        "timestamp": "2026-06-04T18:51:07.394251Z",
-        "current_node": "verify_data",
+        "timestamp": "2026-06-04T18:51:24.388593Z",
+        "current_node": "check_data",
         "completed_nodes": [
           "start",
           "expand_spec",
@@ -1703,23 +1703,26 @@
           "verify_setup",
           "check_setup",
           "impl_data",
-          "verify_data"
+          "verify_data",
+          "check_data"
         ],
         "node_retries": {},
         "context_values": {
           "thread.expand_spec.current_node": "impl_setup",
           "graph.retry_target": "impl_setup",
-          "internal.thread_id": "verify",
+          "internal.thread_id": "verify_data",
           "internal.retry_count.check_setup": 0,
           "internal.retry_count.verify_data": 0,
           "graph.default_max_retries": "3",
-          "current_node": "verify_data",
+          "current_node": "check_data",
           "internal.fidelity": "compact",
           "graph.goal": "Build a terminal-based FreeCell solitaire game in Python",
           "last_stage": "verify_data",
           "internal.retry_count.expand_spec": 0,
           "internal.retry_count.impl_data": 0,
           "response.impl_data": "I have successfully completed the implementation of the FreeCell solitaire game data models and state engine according to the technical specification, added a comprehensive focused unit test suite, and verified that all tests pass perfectly.\n\n### Summary of Changes\n\n1. **Pure Domain Data Model & State Engine (`card-game-app/src/card_game_tui/domain.py`)**:\n   - Implemented `Suit`, `Rank`, and `Card` representations.\n   - Built the `Deck` class supporting deterministic seeding and standard 52-card dealing.\n   - Designed the `Position` representation, covering tableau columns (0–7), free cells (0–3), and foundations (0–3).\n   - Designed `MoveRecord` with full support for tracking regular moves and recursive `auto_moves` (auto-homing).\n   - Implemented `GameState` managing all piles, validations (`validate_move`), executions (`execute_move`), full asymmetric/nested undo/redo, and win-state detection.\n   - Implemented **Auto-Homing** rules exactly as specified: cards are moved automatically to foundations if and only if they are legal moves and all cards of the opposite color of lower ranks have already been homed.\n\n2. **Comprehensive Headless Unit Tests (`card-game-app/tests/test_domain.py`)**:\n   - Built a comprehensive unit test suite covering:\n     - Standard 52-card deck deal correctness.\n     - Deterministic seeding verification.\n     - Moves to and validations of Free Cells.\n     - Moves to and validations of Foundations.\n     - Single card move rules on the Tableau (descending rank, alternating colors).\n     - Sequence/multi-card moves Tableau-to-Tableau obeying the rules & formula: `(1 + Empty Free Cells) * 2^(Empty Tableau Columns)` with destination empty-column exception.\n     - Core Auto-Homing logic.\n     - Perfect full undo/redo capabilities, including reverting auto-homing sequences.\n     - Winning state detection.\n\n3. **Status Validation**:\n   - All 13 unit tests passed flawlessly inside the Python testing framework.\n   - The CLI non-interactive `--smoke` mode executes perfectly.\n   - Wrote `status.json` with `outcome=succeeded`.",
+          "thread.verify_data.current_node": "check_data",
+          "internal.retry_count.check_data": 0,
           "graph.fallback_retry_target": "impl_logic",
           "internal.work_dir": "/home/daytona/workspace/fabro",
           "internal.retry_count.start": 0,
@@ -1876,6 +1879,11 @@
             "status": "succeeded",
             "usage": null
           },
+          "check_data": {
+            "status": "succeeded",
+            "notes": "Conditional node evaluated: check_data",
+            "usage": null
+          },
           "check_setup": {
             "status": "succeeded",
             "notes": "Conditional node evaluated: check_setup",
@@ -1965,13 +1973,14 @@
             }
           }
         },
-        "next_node_id": "check_data",
+        "next_node_id": "impl_logic",
         "node_visits": {
           "check_setup": 1,
           "start": 1,
-          "expand_spec": 1,
           "impl_setup": 1,
           "verify_data": 1,
+          "check_data": 1,
+          "expand_spec": 1,
           "impl_data": 1,
           "verify_setup": 1
         }
@@ -2499,7 +2508,12 @@
       "first_event_seq": 317,
       "prompt": null,
       "response": null,
-      "completion": null,
+      "completion": {
+        "outcome": "succeeded",
+        "notes": "Stage completed: verify_data",
+        "failure_reason": null,
+        "timestamp": "2026-06-04T18:51:07.394087Z"
+      },
       "provider_used": {
         "mode": "agent",
         "provider": "gemini",
@@ -2512,6 +2526,12 @@
       "output": null,
       "started_at": "2026-06-04T18:50:16.595827Z",
       "handler": "agent",
+      "timing": {
+        "wall_time_ms": 50798,
+        "inference_time_ms": 42429,
+        "tool_time_ms": 1927,
+        "active_time_ms": 44356
+      },
       "usage": {
         "input_tokens": 140156,
         "output_tokens": 1930,
@@ -2693,7 +2713,7 @@
         ],
         "warnings": []
       },
-      "state": "running"
+      "state": "succeeded"
     },
     "verify_setup@1": {
       "first_event_seq": 130,

stages/007-verify_data@1/status.json

@@ -0,0 +1,6 @@
+{
+  "outcome": "succeeded",
+  "notes": "Stage completed: verify_data",
+  "failure_reason": null,
+  "timestamp": "2026-06-04T18:51:07.394087Z"
+}