diff --git a/run.json b/run.json index 9308d3d77..780f16f26 100644 --- a/run.json +++ b/run.json @@ -1,5 +1,5 @@ { - "title": "Build a terminal-based FreeCell solitaire game in Python", + "title": "Build terminal-based FreeCell solitaire game in Python", "spec": { "run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", "settings": { @@ -136,181 +136,37 @@ "graph": { "name": "CardGame", "nodes": { - "check_integration": { - "id": "check_integration", + "impl_ui": { + "id": "impl_ui", "attrs": { - "shape": { - "String": "diamond" - }, - "label": { - "String": "Integration OK?" - } - } - }, - "check_setup": { - "id": "check_setup", - "attrs": { - "label": { - "String": "Setup OK?" - }, - "shape": { - "String": "diamond" - } - } - }, - "verify_logic": { - "id": "verify_logic", - "attrs": { - "prompt": { - "String": "Verify the card game logic.\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v\n\nCheck move/action validation, win/loss detection, and undo.\n\nWrite findings to .ai/verify_logic.md.\nWrite status.json at workspace root: outcome=succeeded if all checks pass, outcome=failed with failure_reason otherwise." - }, - "shape": { - "String": "box" - }, - "label": { - "String": "Verify Logic" - }, - "class": { - "String": "verify" - } - }, - "classes": [ - "verify" - ] - }, - "review": { - "id": "review", - "attrs": { - "shape": { - "String": "box" - }, "class": { "String": "hard" }, - "prompt": { - "String": "Review the complete card game app against .ai/card-game-spec.md.\n\nConfirm:\n- The app is in card-game-app/\n- It is Python 3.11+ and uses curses for the TUI\n- The requested game rules are implemented correctly\n- Keyboard controls are usable and documented\n- Tests pass\n- Smoke mode works without an interactive terminal\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v && python3 main.py --smoke\n\nWrite review to .ai/card-game-review.md.\nWrite status.json at workspace root: outcome=succeeded if the app is complete and demo-ready, outcome=failed with specific missing or broken items." - }, - "goal_gate": { - "Boolean": true + "max_retries": { + "Integer": 2 }, "label": { - "String": "Final Review" + "String": "Terminal UI" + }, + "shape": { + "String": "box" + }, + "prompt": { + "String": "Read .ai/card-game-spec.md and the game logic.\n\nImplement the curses TUI:\n- Card rendering using ASCII art\n- Board layout\n- Keyboard input\n- Move/action selection\n- Help text\n- `python3 main.py --smoke` non-interactive smoke path\n\nKeep rendering helpers testable where practical and avoid coupling game rules to curses.\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v && python3 -m py_compile main.py src/card_game_tui/*.py && python3 main.py --smoke\n\nWrite status.json at workspace root: outcome=succeeded if tests pass, files compile, and smoke mode works, outcome=failed with failure_reason otherwise." } }, "classes": [ "hard" ] }, - "verify_setup": { - "id": "verify_setup", - "attrs": { - "label": { - "String": "Verify Setup" - }, - "class": { - "String": "verify" - }, - "prompt": { - "String": "Verify setup for the card game app.\n\nCheck:\n1. card-game-app/pyproject.toml exists\n2. card-game-app/main.py exists\n3. card-game-app/src/card_game_tui exists\n4. Python files compile\n\nRun:\ncd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py\n\nWrite findings to .ai/verify_setup.md.\nWrite status.json at workspace root: outcome=succeeded if all checks pass, outcome=failed with failure_reason otherwise." - }, - "shape": { - "String": "box" - } - }, - "classes": [ - "verify" - ] - }, - "verify_ui": { - "id": "verify_ui", - "attrs": { - "prompt": { - "String": "Verify the terminal UI.\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v && python3 -m py_compile main.py src/card_game_tui/*.py && python3 main.py --smoke\n\nCheck that:\n- main.py can start smoke mode\n- UI module imports without requiring an interactive terminal\n- Board rendering helpers have tests or smoke coverage\n- Controls are documented in README.md\n\nWrite findings to .ai/verify_ui.md.\nWrite status.json at workspace root: outcome=succeeded if all checks pass, outcome=failed with failure_reason otherwise." - }, - "shape": { - "String": "box" - }, - "class": { - "String": "verify" - }, - "label": { - "String": "Verify UI" - } - }, - "classes": [ - "verify" - ] - }, - "expand_spec": { - "id": "expand_spec", - "attrs": { - "prompt": { - "String": "Goal: $goal\n\nCreate a detailed implementation spec for the requested Python terminal card game.\n\nCover:\n- Game rules and data structures (Card, Deck, Pile or equivalent state types)\n- Terminal rendering approach using the standard-library curses module\n- Input handling and move/action validation\n- Win/loss detection\n- UI layout\n- Test strategy\n\nKeep game rules testable without curses. Include a smoke mode so `python3 main.py --smoke` starts enough of the app to prove imports and setup without requiring an interactive terminal.\n\nWrite the spec to .ai/card-game-spec.md.\nWrite status.json at workspace root: outcome=succeeded if the spec is complete, outcome=failed with failure_reason otherwise." - }, - "shape": { - "String": "box" - }, - "label": { - "String": "Expand Spec" - } - } - }, - "impl_setup": { - "id": "impl_setup", - "attrs": { - "label": { - "String": "Setup Project" - }, - "shape": { - "String": "box" - }, - "prompt": { - "String": "Read .ai/card-game-spec.md.\n\nCreate the Python project skeleton under card-game-app/:\n- pyproject.toml with pytest configured\n- main.py entrypoint\n- src/card_game_tui/ package\n- tests/ directory\n- README.md stub\n\nAdd minimal importable modules so the project compiles.\n\nRun:\ncd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py\n\nWrite status.json at workspace root: outcome=succeeded if the project skeleton exists and compiles, outcome=failed with failure_reason otherwise." - } - } - }, - "check_review": { - "id": "check_review", + "check_ui": { + "id": "check_ui", "attrs": { "shape": { "String": "diamond" }, "label": { - "String": "Review OK?" - } - } - }, - "verify_integration": { - "id": "verify_integration", - "attrs": { - "class": { - "String": "verify" - }, - "label": { - "String": "Verify Integration" - }, - "prompt": { - "String": "Verify final integration.\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v && python3 -m py_compile main.py src/card_game_tui/*.py && python3 main.py --smoke\n\nCheck README.md includes setup, run, test, and controls instructions.\n\nWrite findings to .ai/verify_integration.md.\nWrite status.json at workspace root: outcome=succeeded if all checks pass, outcome=failed with failure_reason otherwise." - }, - "shape": { - "String": "box" - } - }, - "classes": [ - "verify" - ] - }, - "impl_data": { - "id": "impl_data", - "attrs": { - "prompt": { - "String": "Read .ai/card-game-spec.md.\n\nImplement Card, Deck, Pile, or equivalent game-state types under card-game-app/src/card_game_tui/.\n\nAdd focused unit tests under card-game-app/tests/.\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v\n\nWrite status.json at workspace root: outcome=succeeded if tests pass and the data model is implemented, outcome=failed with failure_reason otherwise." - }, - "shape": { - "String": "box" - }, - "label": { - "String": "Data Structures" + "String": "UI OK?" } } }, @@ -325,9 +181,79 @@ } } }, - "verify_data": { - "id": "verify_data", + "verify_logic": { + "id": "verify_logic", "attrs": { + "shape": { + "String": "box" + }, + "prompt": { + "String": "Verify the card game logic.\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v\n\nCheck move/action validation, win/loss detection, and undo.\n\nWrite findings to .ai/verify_logic.md.\nWrite status.json at workspace root: outcome=succeeded if all checks pass, outcome=failed with failure_reason otherwise." + }, + "label": { + "String": "Verify Logic" + }, + "class": { + "String": "verify" + } + }, + "classes": [ + "verify" + ] + }, + "check_logic": { + "id": "check_logic", + "attrs": { + "label": { + "String": "Logic OK?" + }, + "shape": { + "String": "diamond" + } + } + }, + "impl_data": { + "id": "impl_data", + "attrs": { + "shape": { + "String": "box" + }, + "label": { + "String": "Data Structures" + }, + "prompt": { + "String": "Read .ai/card-game-spec.md.\n\nImplement Card, Deck, Pile, or equivalent game-state types under card-game-app/src/card_game_tui/.\n\nAdd focused unit tests under card-game-app/tests/.\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v\n\nWrite status.json at workspace root: outcome=succeeded if tests pass and the data model is implemented, outcome=failed with failure_reason otherwise." + } + } + }, + "check_integration": { + "id": "check_integration", + "attrs": { + "label": { + "String": "Integration OK?" + }, + "shape": { + "String": "diamond" + } + } + }, + "check_review": { + "id": "check_review", + "attrs": { + "label": { + "String": "Review OK?" + }, + "shape": { + "String": "diamond" + } + } + }, + "verify_integration": { + "id": "verify_integration", + "attrs": { + "prompt": { + "String": "Verify final integration.\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v && python3 -m py_compile main.py src/card_game_tui/*.py && python3 main.py --smoke\n\nCheck README.md includes setup, run, test, and controls instructions.\n\nWrite findings to .ai/verify_integration.md.\nWrite status.json at workspace root: outcome=succeeded if all checks pass, outcome=failed with failure_reason otherwise." + }, "shape": { "String": "box" }, @@ -335,10 +261,7 @@ "String": "verify" }, "label": { - "String": "Verify Data" - }, - "prompt": { - "String": "Verify the card game data structures.\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v && python3 -m py_compile main.py src/card_game_tui/*.py\n\nCheck that the core game-state types are defined and basic operations work.\n\nWrite findings to .ai/verify_data.md.\nWrite status.json at workspace root: outcome=succeeded if all checks pass, outcome=failed with failure_reason otherwise." + "String": "Verify Integration" } }, "classes": [ @@ -348,45 +271,133 @@ "start": { "id": "start", "attrs": { - "label": { - "String": "Start" - }, "shape": { "String": "Mdiamond" + }, + "label": { + "String": "Start" } } }, - "impl_logic": { - "id": "impl_logic", + "verify_ui": { + "id": "verify_ui", "attrs": { + "prompt": { + "String": "Verify the terminal UI.\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v && python3 -m py_compile main.py src/card_game_tui/*.py && python3 main.py --smoke\n\nCheck that:\n- main.py can start smoke mode\n- UI module imports without requiring an interactive terminal\n- Board rendering helpers have tests or smoke coverage\n- Controls are documented in README.md\n\nWrite findings to .ai/verify_ui.md.\nWrite status.json at workspace root: outcome=succeeded if all checks pass, outcome=failed with failure_reason otherwise." + }, + "shape": { + "String": "box" + }, + "label": { + "String": "Verify UI" + }, + "class": { + "String": "verify" + } + }, + "classes": [ + "verify" + ] + }, + "expand_spec": { + "id": "expand_spec", + "attrs": { + "label": { + "String": "Expand Spec" + }, "shape": { "String": "box" }, "prompt": { - "String": "Read .ai/card-game-spec.md and the current card-game-app implementation.\n\nImplement the requested card game's rules:\n- Initial setup/deal where applicable\n- Move/action validation\n- Auto-complete or helper actions where applicable\n- Win/loss condition\n- Undo\n\nAdd tests for legal actions, illegal actions, win/loss detection, and edge cases.\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v\n\nWrite status.json at workspace root: outcome=succeeded if all tests pass and rules are implemented, outcome=failed with failure_reason otherwise." + "String": "Goal: $goal\n\nCreate a detailed implementation spec for the requested Python terminal card game.\n\nCover:\n- Game rules and data structures (Card, Deck, Pile or equivalent state types)\n- Terminal rendering approach using the standard-library curses module\n- Input handling and move/action validation\n- Win/loss detection\n- UI layout\n- Test strategy\n\nKeep game rules testable without curses. Include a smoke mode so `python3 main.py --smoke` starts enough of the app to prove imports and setup without requiring an interactive terminal.\n\nWrite the spec to .ai/card-game-spec.md.\nWrite status.json at workspace root: outcome=succeeded if the spec is complete, outcome=failed with failure_reason otherwise." + } + } + }, + "verify_setup": { + "id": "verify_setup", + "attrs": { + "prompt": { + "String": "Verify setup for the card game app.\n\nCheck:\n1. card-game-app/pyproject.toml exists\n2. card-game-app/main.py exists\n3. card-game-app/src/card_game_tui exists\n4. Python files compile\n\nRun:\ncd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py\n\nWrite findings to .ai/verify_setup.md.\nWrite status.json at workspace root: outcome=succeeded if all checks pass, outcome=failed with failure_reason otherwise." }, - "max_retries": { - "Integer": 2 + "shape": { + "String": "box" + }, + "class": { + "String": "verify" + }, + "label": { + "String": "Verify Setup" + } + }, + "classes": [ + "verify" + ] + }, + "review": { + "id": "review", + "attrs": { + "label": { + "String": "Final Review" + }, + "prompt": { + "String": "Review the complete card game app against .ai/card-game-spec.md.\n\nConfirm:\n- The app is in card-game-app/\n- It is Python 3.11+ and uses curses for the TUI\n- The requested game rules are implemented correctly\n- Keyboard controls are usable and documented\n- Tests pass\n- Smoke mode works without an interactive terminal\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v && python3 main.py --smoke\n\nWrite review to .ai/card-game-review.md.\nWrite status.json at workspace root: outcome=succeeded if the app is complete and demo-ready, outcome=failed with specific missing or broken items." + }, + "shape": { + "String": "box" }, "class": { "String": "hard" }, - "label": { - "String": "Game Logic" + "goal_gate": { + "Boolean": true } }, "classes": [ "hard" ] }, - "check_ui": { - "id": "check_ui", + "check_setup": { + "id": "check_setup", "attrs": { - "label": { - "String": "UI OK?" - }, "shape": { "String": "diamond" + }, + "label": { + "String": "Setup OK?" + } + } + }, + "verify_data": { + "id": "verify_data", + "attrs": { + "prompt": { + "String": "Verify the card game data structures.\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v && python3 -m py_compile main.py src/card_game_tui/*.py\n\nCheck that the core game-state types are defined and basic operations work.\n\nWrite findings to .ai/verify_data.md.\nWrite status.json at workspace root: outcome=succeeded if all checks pass, outcome=failed with failure_reason otherwise." + }, + "label": { + "String": "Verify Data" + }, + "shape": { + "String": "box" + }, + "class": { + "String": "verify" + } + }, + "classes": [ + "verify" + ] + }, + "impl_integration": { + "id": "impl_integration", + "attrs": { + "shape": { + "String": "box" + }, + "prompt": { + "String": "Finish the card game app.\n\nDo the integration work:\n- Wire main.py to start the curses game loop normally\n- Keep --smoke non-interactive\n- Add README.md run instructions and controls\n- Add any missing tests needed for confidence\n- Ensure no generated files are outside card-game-app/ except .ai/ reports and root status.json\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v && python3 main.py --smoke\n\nWrite status.json at workspace root: outcome=succeeded if the app is playable and tests pass, outcome=failed with failure_reason otherwise." + }, + "label": { + "String": "Integrate" } } }, @@ -401,46 +412,35 @@ } } }, - "check_logic": { - "id": "check_logic", - "attrs": { - "label": { - "String": "Logic OK?" - }, - "shape": { - "String": "diamond" - } - } - }, - "impl_integration": { - "id": "impl_integration", - "attrs": { - "label": { - "String": "Integrate" - }, - "prompt": { - "String": "Finish the card game app.\n\nDo the integration work:\n- Wire main.py to start the curses game loop normally\n- Keep --smoke non-interactive\n- Add README.md run instructions and controls\n- Add any missing tests needed for confidence\n- Ensure no generated files are outside card-game-app/ except .ai/ reports and root status.json\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v && python3 main.py --smoke\n\nWrite status.json at workspace root: outcome=succeeded if the app is playable and tests pass, outcome=failed with failure_reason otherwise." - }, - "shape": { - "String": "box" - } - } - }, - "impl_ui": { - "id": "impl_ui", + "impl_setup": { + "id": "impl_setup", "attrs": { "prompt": { - "String": "Read .ai/card-game-spec.md and the game logic.\n\nImplement the curses TUI:\n- Card rendering using ASCII art\n- Board layout\n- Keyboard input\n- Move/action selection\n- Help text\n- `python3 main.py --smoke` non-interactive smoke path\n\nKeep rendering helpers testable where practical and avoid coupling game rules to curses.\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v && python3 -m py_compile main.py src/card_game_tui/*.py && python3 main.py --smoke\n\nWrite status.json at workspace root: outcome=succeeded if tests pass, files compile, and smoke mode works, outcome=failed with failure_reason otherwise." + "String": "Read .ai/card-game-spec.md.\n\nCreate the Python project skeleton under card-game-app/:\n- pyproject.toml with pytest configured\n- main.py entrypoint\n- src/card_game_tui/ package\n- tests/ directory\n- README.md stub\n\nAdd minimal importable modules so the project compiles.\n\nRun:\ncd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py\n\nWrite status.json at workspace root: outcome=succeeded if the project skeleton exists and compiles, outcome=failed with failure_reason otherwise." }, "shape": { "String": "box" }, "label": { - "String": "Terminal UI" + "String": "Setup Project" + } + } + }, + "impl_logic": { + "id": "impl_logic", + "attrs": { + "prompt": { + "String": "Read .ai/card-game-spec.md and the current card-game-app implementation.\n\nImplement the requested card game's rules:\n- Initial setup/deal where applicable\n- Move/action validation\n- Auto-complete or helper actions where applicable\n- Win/loss condition\n- Undo\n\nAdd tests for legal actions, illegal actions, win/loss detection, and edge cases.\n\nRun:\ncd card-game-app && python3 -m pytest tests/ -v\n\nWrite status.json at workspace root: outcome=succeeded if all tests pass and rules are implemented, outcome=failed with failure_reason otherwise." }, "class": { "String": "hard" }, + "label": { + "String": "Game Logic" + }, + "shape": { + "String": "box" + }, "max_retries": { "Integer": 2 } @@ -604,11 +604,11 @@ "from": "check_ui", "to": "impl_ui", "attrs": { - "condition": { - "String": "outcome=failed" - }, "label": { "String": "Retry" + }, + "condition": { + "String": "outcome=failed" } } }, @@ -698,20 +698,20 @@ } ], "attrs": { - "fallback_retry_target": { - "String": "impl_logic" + "goal": { + "String": "Build a terminal-based FreeCell solitaire game in Python" }, "retry_target": { "String": "impl_setup" }, + "fallback_retry_target": { + "String": "impl_logic" + }, "default_max_retries": { "Integer": 3 }, "rankdir": { "String": "LR" - }, - "goal": { - "String": "Build a terminal-based FreeCell solitaire game in Python" } } }, @@ -757,10 +757,10 @@ "base_sha": "497aaba6f20c1fac052346c39f52e08fabadb179" }, "status": { - "kind": "running" + "kind": "starting" }, - "status_updated_at": "2026-06-04T18:37:50.931347Z", - "last_event_at": "2026-06-04T18:55:12.162675Z", + "status_updated_at": "2026-06-04T19:37:40.694133Z", + "last_event_at": "2026-06-04T19:37:42.095596Z", "pending_control": null, "checkpoints": [ { @@ -773,21 +773,21 @@ ], "node_retries": {}, "context_values": { - "failure_signature": "", - "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", + "internal.retry_count.start": 0, + "failure_class": "", "internal.work_dir": "/home/daytona/workspace/fabro", - "internal.thread_id": null, + "graph.rankdir": "LR", + "internal.fidelity": "compact", "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", "graph.fallback_retry_target": "impl_logic", - "internal.node_visit_count": 1, - "graph.default_max_retries": "3", - "internal.fidelity": "compact", - "failure_class": "", - "graph.retry_target": "impl_setup", - "graph.rankdir": "LR", - "internal.retry_count.start": 0, + "internal.thread_id": null, "outcome": "succeeded", - "current_node": "start" + "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", + "failure_signature": "", + "graph.retry_target": "impl_setup", + "graph.default_max_retries": "3", + "current_node": "start", + "internal.node_visit_count": 1 }, "node_outcomes": { "start": { @@ -813,38 +813,34 @@ ], "node_retries": {}, "context_values": { - "outcome": "succeeded", - "graph.default_max_retries": "3", - "internal.node_visit_count": 1, - "graph.retry_target": "impl_setup", - "internal.retry_count.start": 0, - "current_node": "expand_spec", "internal.fidelity": "compact", - "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc", - "thread.start.current_node": "expand_spec", - "internal.retry_count.expand_spec": 0, - "failure_signature": "", - "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", - "last_stage": "expand_spec", - "internal.work_dir": "/home/daytona/workspace/fabro", - "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", - "graph.rankdir": "LR", - "failure_class": "", "internal.thread_id": "start", + "graph.rankdir": "LR", + "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", + "internal.retry_count.start": 0, + "internal.node_visit_count": 1, + "internal.retry_count.expand_spec": 0, + "outcome": "succeeded", + "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc", + "failure_signature": "", + "internal.work_dir": "/home/daytona/workspace/fabro", + "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", + "graph.retry_target": "impl_setup", "graph.fallback_retry_target": "impl_logic", - "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY" + "failure_class": "", + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", + "thread.start.current_node": "expand_spec", + "graph.default_max_retries": "3", + "last_stage": "expand_spec", + "current_node": "expand_spec" }, "node_outcomes": { - "start": { - "status": "succeeded", - "usage": null - }, "expand_spec": { "status": "succeeded", "context_updates": { + "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc", "last_stage": "expand_spec", - "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", - "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc" + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios." }, "notes": "Stage completed: expand_spec", "usage": { @@ -879,13 +875,17 @@ "tool_time_ms": 4207, "active_time_ms": 116103 } + }, + "start": { + "status": "succeeded", + "usage": null } }, "next_node_id": "impl_setup", "git_commit_sha": "dd57c4b4a04cc33a4b0e5e2de6fcc68ef2f37dac", "node_visits": { - "expand_spec": 1, - "start": 1 + "start": 1, + "expand_spec": 1 } }, "diff": { @@ -909,29 +909,29 @@ ], "node_retries": {}, "context_values": { - "failure_class": "", - "internal.thread_id": "expand_spec", - "graph.rankdir": "LR", - "internal.retry_count.expand_spec": 0, - "last_stage": "impl_setup", - "failure_signature": "", - "internal.fidelity": "compact", - "outcome": "succeeded", - "current_node": "impl_setup", - "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", - "graph.retry_target": "impl_setup", - "internal.work_dir": "/home/daytona/workspace/fabro", "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "thread.expand_spec.current_node": "impl_setup", "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", "internal.node_visit_count": 1, "last_response": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n -", - "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", - "internal.retry_count.start": 0, - "graph.fallback_retry_target": "impl_logic", + "failure_signature": "", + "internal.work_dir": "/home/daytona/workspace/fabro", + "graph.rankdir": "LR", + "outcome": "succeeded", "internal.retry_count.impl_setup": 0, + "internal.fidelity": "compact", + "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", + "current_node": "impl_setup", + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", + "graph.fallback_retry_target": "impl_logic", + "internal.thread_id": "expand_spec", + "graph.retry_target": "impl_setup", + "thread.start.current_node": "expand_spec", + "failure_class": "", + "last_stage": "impl_setup", + "internal.retry_count.expand_spec": 0, "graph.default_max_retries": "3", - "thread.expand_spec.current_node": "impl_setup", - "thread.start.current_node": "expand_spec" + "internal.retry_count.start": 0 }, "node_outcomes": { "impl_setup": { @@ -985,9 +985,9 @@ "expand_spec": { "status": "succeeded", "context_updates": { - "last_stage": "expand_spec", "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", - "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc" + "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc", + "last_stage": "expand_spec" }, "notes": "Stage completed: expand_spec", "usage": { @@ -1031,9 +1031,9 @@ "next_node_id": "verify_setup", "git_commit_sha": "93beebfa444111df98836cb8445b80b155bc096c", "node_visits": { + "expand_spec": 1, "impl_setup": 1, - "start": 1, - "expand_spec": 1 + "start": 1 } }, "diff": { @@ -1058,40 +1058,81 @@ ], "node_retries": {}, "context_values": { - "current_node": "verify_setup", - "internal.retry_count.expand_spec": 0, - "internal.retry_count.impl_setup": 0, - "failure_signature": "", - "outcome": "succeeded", - "internal.fidelity": "compact", - "thread.expand_spec.current_node": "impl_setup", - "failure_class": "", - "graph.rankdir": "LR", - "internal.retry_count.verify_setup": 0, - "last_stage": "verify_setup", - "graph.default_max_retries": "3", - "thread.start.current_node": "expand_spec", - "thread.verify.current_node": "verify_setup", - "internal.work_dir": "/home/daytona/workspace/fabro", - "internal.node_visit_count": 1, - "internal.retry_count.start": 0, - "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", - "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", "graph.retry_target": "impl_setup", - "graph.fallback_retry_target": "impl_logic", - "internal.thread_id": "verify", - "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", + "thread.start.current_node": "expand_spec", "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca", + "internal.work_dir": "/home/daytona/workspace/fabro", + "graph.default_max_retries": "3", + "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", + "internal.fidelity": "compact", + "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", + "outcome": "succeeded", + "internal.retry_count.verify_setup": 0, + "internal.retry_count.expand_spec": 0, + "graph.rankdir": "LR", + "graph.fallback_retry_target": "impl_logic", + "last_stage": "verify_setup", + "thread.expand_spec.current_node": "impl_setup", + "internal.thread_id": "verify", + "internal.retry_count.impl_setup": 0, + "internal.node_visit_count": 1, + "thread.verify.current_node": "verify_setup", + "current_node": "verify_setup", "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", - "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios." + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "failure_class": "", + "internal.retry_count.start": 0, + "failure_signature": "" }, "node_outcomes": { + "verify_setup": { + "status": "succeeded", + "context_updates": { + "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca", + "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", + "last_stage": "verify_setup" + }, + "notes": "Stage completed: verify_setup", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 185923, + "output_tokens": 1136, + "reasoning_tokens": 1068, + "cache_read_tokens": 4044, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 299326 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/verify_setup.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 33160, + "tool_time_ms": 20341, + "active_time_ms": 53501 + } + }, "expand_spec": { "status": "succeeded", "context_updates": { - "last_stage": "expand_spec", + "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc", "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", - "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc" + "last_stage": "expand_spec" }, "notes": "Stage completed: expand_spec", "usage": { @@ -1127,12 +1168,16 @@ "active_time_ms": 116103 } }, + "start": { + "status": "succeeded", + "usage": null + }, "impl_setup": { "status": "succeeded", "context_updates": { - "last_response": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n -", "last_stage": "impl_setup", - "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly." + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "last_response": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n -" }, "notes": "Stage completed: impl_setup", "usage": { @@ -1174,60 +1219,15 @@ "tool_time_ms": 18730, "active_time_ms": 73263 } - }, - "verify_setup": { - "status": "succeeded", - "context_updates": { - "last_stage": "verify_setup", - "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", - "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca" - }, - "notes": "Stage completed: verify_setup", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 185923, - "output_tokens": 1136, - "reasoning_tokens": 1068, - "cache_read_tokens": 4044, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 299326 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/.ai/verify_setup.md", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 33160, - "tool_time_ms": 20341, - "active_time_ms": 53501 - } - }, - "start": { - "status": "succeeded", - "usage": null } }, "next_node_id": "check_setup", "git_commit_sha": "394432519b015302dd02ec52db2f5300e465e156", "node_visits": { - "impl_setup": 1, + "start": 1, "verify_setup": 1, - "expand_spec": 1, - "start": 1 + "impl_setup": 1, + "expand_spec": 1 } }, "diff": { @@ -1253,82 +1253,45 @@ ], "node_retries": {}, "context_values": { - "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca", - "thread.verify.current_node": "verify_setup", - "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", - "internal.fidelity": "compact", - "internal.retry_count.impl_setup": 0, - "current_node": "check_setup", - "graph.fallback_retry_target": "impl_logic", "internal.retry_count.start": 0, "internal.work_dir": "/home/daytona/workspace/fabro", - "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", - "internal.retry_count.expand_spec": 0, - "thread.start.current_node": "expand_spec", - "thread.verify_setup.current_node": "check_setup", - "graph.default_max_retries": "3", - "internal.retry_count.check_setup": 0, - "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", - "failure_signature": "", - "graph.retry_target": "impl_setup", - "failure_class": "", - "graph.rankdir": "LR", - "internal.node_visit_count": 1, - "last_stage": "verify_setup", - "internal.thread_id": "verify_setup", - "outcome": "succeeded", - "thread.expand_spec.current_node": "impl_setup", - "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", + "graph.fallback_retry_target": "impl_logic", + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", + "internal.fidelity": "compact", "internal.retry_count.verify_setup": 0, - "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios." + "thread.expand_spec.current_node": "impl_setup", + "internal.retry_count.impl_setup": 0, + "thread.verify.current_node": "verify_setup", + "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", + "outcome": "succeeded", + "failure_signature": "", + "internal.retry_count.check_setup": 0, + "last_stage": "verify_setup", + "internal.retry_count.expand_spec": 0, + "thread.verify_setup.current_node": "check_setup", + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "graph.rankdir": "LR", + "current_node": "check_setup", + "graph.default_max_retries": "3", + "internal.thread_id": "verify_setup", + "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca", + "failure_class": "", + "graph.retry_target": "impl_setup", + "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", + "internal.node_visit_count": 1, + "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", + "thread.start.current_node": "expand_spec" }, "node_outcomes": { - "verify_setup": { + "start": { "status": "succeeded", - "context_updates": { - "last_stage": "verify_setup", - "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", - "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca" - }, - "notes": "Stage completed: verify_setup", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 185923, - "output_tokens": 1136, - "reasoning_tokens": 1068, - "cache_read_tokens": 4044, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 299326 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/.ai/verify_setup.md", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 33160, - "tool_time_ms": 20341, - "active_time_ms": 53501 - } + "usage": null }, "expand_spec": { "status": "succeeded", "context_updates": { - "last_stage": "expand_spec", "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", + "last_stage": "expand_spec", "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc" }, "notes": "Stage completed: expand_spec", @@ -1365,21 +1328,58 @@ "active_time_ms": 116103 } }, + "verify_setup": { + "status": "succeeded", + "context_updates": { + "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", + "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca", + "last_stage": "verify_setup" + }, + "notes": "Stage completed: verify_setup", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 185923, + "output_tokens": 1136, + "reasoning_tokens": 1068, + "cache_read_tokens": 4044, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 299326 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/verify_setup.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 33160, + "tool_time_ms": 20341, + "active_time_ms": 53501 + } + }, "check_setup": { "status": "succeeded", "notes": "Conditional node evaluated: check_setup", "usage": null }, - "start": { - "status": "succeeded", - "usage": null - }, "impl_setup": { "status": "succeeded", "context_updates": { "last_response": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n -", - "last_stage": "impl_setup", - "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly." + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "last_stage": "impl_setup" }, "notes": "Stage completed: impl_setup", "usage": { @@ -1426,11 +1426,11 @@ "next_node_id": "impl_data", "git_commit_sha": "b10c3badaeab7adb4f2cc3e6b02b62b5e817ba1f", "node_visits": { - "check_setup": 1, + "start": 1, + "verify_setup": 1, "expand_spec": 1, "impl_setup": 1, - "start": 1, - "verify_setup": 1 + "check_setup": 1 } }, "diff": { @@ -1456,54 +1456,298 @@ ], "node_retries": {}, "context_values": { - "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`.", - "internal.retry_count.check_setup": 0, - "internal.thread_id": "check_setup", - "graph.rankdir": "LR", - "graph.retry_target": "impl_setup", - "internal.retry_count.impl_data": 0, - "last_response": "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, an", - "thread.verify_setup.current_node": "check_setup", - "thread.start.current_node": "expand_spec", - "failure_signature": "", - "failure_class": "", - "graph.fallback_retry_target": "impl_logic", - "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", - "current_node": "impl_data", - "internal.retry_count.expand_spec": 0, - "thread.check_setup.current_node": "impl_data", - "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", - "internal.retry_count.start": 0, "graph.default_max_retries": "3", - "internal.work_dir": "/home/daytona/workspace/fabro", + "graph.rankdir": "LR", + "internal.node_visit_count": 1, + "thread.expand_spec.current_node": "impl_setup", + "thread.start.current_node": "expand_spec", "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", + "failure_signature": "", + "thread.verify.current_node": "verify_setup", + "graph.retry_target": "impl_setup", "internal.retry_count.impl_setup": 0, "outcome": "succeeded", - "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", - "internal.fidelity": "compact", + "internal.retry_count.impl_data": 0, + "internal.retry_count.check_setup": 0, + "thread.verify_setup.current_node": "check_setup", + "internal.thread_id": "check_setup", + "current_node": "impl_data", + "failure_class": "", + "graph.fallback_retry_target": "impl_logic", "internal.retry_count.verify_setup": 0, - "thread.expand_spec.current_node": "impl_setup", - "last_stage": "impl_data", + "last_response": "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, an", + "internal.work_dir": "/home/daytona/workspace/fabro", + "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", + "thread.check_setup.current_node": "impl_data", "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", - "thread.verify.current_node": "verify_setup", - "internal.node_visit_count": 1 + "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`.", + "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "internal.retry_count.expand_spec": 0, + "internal.fidelity": "compact", + "last_stage": "impl_data", + "internal.retry_count.start": 0 }, "node_outcomes": { + "expand_spec": { + "status": "succeeded", + "context_updates": { + "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc", + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", + "last_stage": "expand_spec" + }, + "notes": "Stage completed: expand_spec", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 85925, + "output_tokens": 4840, + "reasoning_tokens": 3421, + "cache_read_tokens": 20271, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 206276 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/card-game-spec.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 111896, + "tool_time_ms": 4207, + "active_time_ms": 116103 + } + }, "start": { "status": "succeeded", "usage": null }, + "impl_setup": { + "status": "succeeded", + "context_updates": { + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "last_response": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n -", + "last_stage": "impl_setup" + }, + "notes": "Stage completed: impl_setup", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 144122, + "output_tokens": 3364, + "reasoning_tokens": 3387, + "cache_read_tokens": 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}, + "verify_setup": { + "status": "succeeded", + "context_updates": { + "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca", + "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", + "last_stage": "verify_setup" + }, + "notes": "Stage completed: verify_setup", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 185923, + "output_tokens": 1136, + "reasoning_tokens": 1068, + "cache_read_tokens": 4044, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 299326 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/verify_setup.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 33160, + "tool_time_ms": 20341, + "active_time_ms": 53501 + } + }, + "impl_data": { + "status": "succeeded", + "context_updates": { + "last_stage": "impl_data", + "last_response": "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, an", + "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`." + }, + "notes": "Stage completed: impl_data", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 179865, + "output_tokens": 10451, + "reasoning_tokens": 21516, + "cache_read_tokens": 641688, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 653753 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py", + "/home/daytona/workspace/fabro/card-game-app/tests/test_domain.py", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 193731, + "tool_time_ms": 20404, + "active_time_ms": 214135 + } + } + }, + "next_node_id": "verify_data", + "git_commit_sha": "f2b42d643921fb41e45cb4cf43c75efafe27696e", + "node_visits": { + "verify_setup": 1, + "expand_spec": 1, + "start": 1, + "check_setup": 1, + "impl_setup": 1, + "impl_data": 1 + } + }, + "diff": { + "patch": "diff --git a/card-game-app/src/card_game_tui/domain.py b/card-game-app/src/card_game_tui/domain.py\nindex db4a2fa8f..fe733cef3 100644\n--- a/card-game-app/src/card_game_tui/domain.py\n+++ b/card-game-app/src/card_game_tui/domain.py\n@@ -1,5 +1,5 @@\n import random\n-from dataclasses import dataclass\n+from dataclasses import dataclass, field\n from enum import Enum, auto\n from typing import List, Union, Dict\n \n@@ -84,6 +84,10 @@ class MoveRecord:\n cards: List[Card] # Captured for single or sequence moves\n auto_moves: List['MoveRecord'] = None # Nested moves triggered by auto-homing\n \n+ def __post_init__(self):\n+ if self.auto_moves is None:\n+ self.auto_moves = []\n+\n class GameState:\n def __init__(self, seed: int = None):\n self.tableaus: List[List[Card]] = Deck(seed).deal()\n@@ -107,7 +111,108 @@ class GameState:\n \"\"\"\n Calculates whether moving 'count' cards from from_pos to to_pos is legal.\n \"\"\"\n- # Placeholder for validation\n+ if count < 1:\n+ return False\n+\n+ if from_pos == to_pos:\n+ return False\n+\n+ # Validate index boundaries\n+ if from_pos.type == LocationType.TABLEAU:\n+ if not (0 <= from_pos.index < 8):\n+ return False\n+ elif from_pos.type == LocationType.FREECELL:\n+ if not (0 <= from_pos.index < 4):\n+ return False\n+ if count != 1:\n+ return False\n+ elif from_pos.type == LocationType.FOUNDATION:\n+ return False\n+ else:\n+ return False\n+\n+ if to_pos.type == LocationType.TABLEAU:\n+ if not (0 <= to_pos.index < 8):\n+ return False\n+ elif to_pos.type == LocationType.FREECELL:\n+ if not (0 <= to_pos.index < 4):\n+ return False\n+ if count != 1:\n+ return False\n+ elif to_pos.type == LocationType.FOUNDATION:\n+ if not (0 <= to_pos.index < 4):\n+ return False\n+ if count != 1:\n+ return False\n+ else:\n+ return False\n+\n+ # Extract moving cards\n+ if from_pos.type == LocationType.FREECELL:\n+ card = self.freecells[from_pos.index]\n+ if card is None:\n+ return False\n+ moving_cards = [card]\n+ elif from_pos.type == LocationType.TABLEAU:\n+ col = self.tableaus[from_pos.index]\n+ if len(col) < count:\n+ return False\n+ moving_cards = col[-count:]\n+ else:\n+ return False\n+\n+ # Validate sequence if moving multiple cards\n+ if count > 1:\n+ for i in range(count - 1):\n+ c1 = moving_cards[i]\n+ c2 = moving_cards[i+1]\n+ if c2.rank.value != c1.rank.value - 1:\n+ return False\n+ if c2.suit.color == c1.suit.color:\n+ return False\n+\n+ # Validate destination constraints\n+ if to_pos.type == LocationType.FREECELL:\n+ if self.freecells[to_pos.index] is not None:\n+ return False\n+\n+ elif to_pos.type == LocationType.FOUNDATION:\n+ target_suit = list(Suit)[to_pos.index]\n+ card = moving_cards[0]\n+ if card.suit != target_suit:\n+ return False\n+ \n+ foundation_pile = self.foundations[target_suit]\n+ if card.rank == Rank.ACE:\n+ if len(foundation_pile) != 0:\n+ return False\n+ else:\n+ if len(foundation_pile) != card.rank.value - 1:\n+ return False\n+\n+ elif to_pos.type == LocationType.TABLEAU:\n+ dest_col = self.tableaus[to_pos.index]\n+ first_moving_card = moving_cards[0]\n+ if len(dest_col) > 0:\n+ dest_top_card = dest_col[-1]\n+ if first_moving_card.rank.value != dest_top_card.rank.value - 1:\n+ return False\n+ if first_moving_card.suit.color == dest_top_card.suit.color:\n+ return False\n+\n+ # Capacity constraint\n+ empty_freecells = sum(1 for c in self.freecells if c is None)\n+ empty_tableaus = sum(1 for col in self.tableaus if len(col) == 0)\n+\n+ if len(dest_col) == 0:\n+ transit_empty_tableaus = max(0, empty_tableaus - 1)\n+ else:\n+ transit_empty_tableaus = empty_tableaus\n+\n+ max_cards = (1 + empty_freecells) * (2 ** transit_empty_tableaus)\n+ if count > max_cards:\n+ return False\n+\n return True\n \n def execute_move(self, from_pos: Position, to_pos: Position, count: int = 1) -> bool:\n@@ -116,12 +221,156 @@ class GameState:\n \"\"\"\n if not self.validate_move(from_pos, to_pos, count):\n return False\n+\n+ # Extract moving cards\n+ if from_pos.type == LocationType.FREECELL:\n+ moving_cards = [self.freecells[from_pos.index]]\n+ elif from_pos.type == LocationType.TABLEAU:\n+ moving_cards = self.tableaus[from_pos.index][-count:]\n+ else:\n+ return False\n+\n+ move_record = MoveRecord(from_pos=from_pos, to_pos=to_pos, cards=moving_cards)\n+ \n+ # Apply the move\n+ self._apply_single_move(move_record)\n+ \n+ # Run auto-homing\n+ self._run_auto_homing(move_record)\n+ \n+ # Record on stacks\n+ self.undo_stack.append(move_record)\n+ self.redo_stack.clear()\n+ return True\n+\n+ def _apply_single_move(self, record: MoveRecord):\n+ # Remove from from_pos\n+ if record.from_pos.type == LocationType.FREECELL:\n+ self.freecells[record.from_pos.index] = None\n+ elif record.from_pos.type == LocationType.TABLEAU:\n+ count = len(record.cards)\n+ self.tableaus[record.from_pos.index] = self.tableaus[record.from_pos.index][:-count]\n+\n+ # Put to to_pos\n+ if record.to_pos.type == LocationType.FREECELL:\n+ self.freecells[record.to_pos.index] = record.cards[0]\n+ elif record.to_pos.type == LocationType.FOUNDATION:\n+ target_suit = list(Suit)[record.to_pos.index]\n+ self.foundations[target_suit].append(record.cards[0])\n+ elif record.to_pos.type == LocationType.TABLEAU:\n+ self.tableaus[record.to_pos.index].extend(record.cards)\n+\n+ def _revert_single_move(self, record: MoveRecord):\n+ # Remove from to_pos\n+ if record.to_pos.type == LocationType.FREECELL:\n+ self.freecells[record.to_pos.index] = None\n+ elif record.to_pos.type == LocationType.FOUNDATION:\n+ target_suit = list(Suit)[record.to_pos.index]\n+ self.foundations[target_suit].pop()\n+ elif record.to_pos.type == LocationType.TABLEAU:\n+ count = len(record.cards)\n+ self.tableaus[record.to_pos.index] = self.tableaus[record.to_pos.index][:-count]\n+\n+ # Put to from_pos\n+ if record.from_pos.type == LocationType.FREECELL:\n+ self.freecells[record.from_pos.index] = record.cards[0]\n+ elif record.from_pos.type == LocationType.TABLEAU:\n+ self.tableaus[record.from_pos.index].extend(record.cards)\n+\n+ def _should_auto_home(self, card: Card) -> bool:\n+ \"\"\"\n+ Checks if a card can be safely auto-homed to the foundations.\n+ \"\"\"\n+ target_foundation = self.foundations[card.suit]\n+ if card.rank.value != len(target_foundation) + 1:\n+ return False\n+\n+ # Opposite color suits must have all lower cards in the foundations\n+ if card.suit.color == \"RED\":\n+ opp_suits = [Suit.CLUBS, Suit.SPADES]\n+ else:\n+ opp_suits = [Suit.HEARTS, Suit.DIAMONDS]\n+\n+ for s_opp in opp_suits:\n+ if len(self.foundations[s_opp]) < card.rank.value - 1:\n+ return False\n+\n return True\n \n+ def _run_auto_homing(self, move_record: MoveRecord):\n+ \"\"\"\n+ Scans freecells and tableau tops, moving eligible cards to foundations.\n+ Repeats until no more cards can be auto-homed.\n+ \"\"\"\n+ any_homed = True\n+ while any_homed:\n+ any_homed = False\n+ \n+ # Check free cells\n+ for i, card in enumerate(self.freecells):\n+ if card is not None and self._should_auto_home(card):\n+ from_p = Position(LocationType.FREECELL, i)\n+ suit_idx = list(Suit).index(card.suit)\n+ to_p = Position(LocationType.FOUNDATION, suit_idx)\n+ \n+ auto_rec = MoveRecord(from_pos=from_p, to_pos=to_p, cards=[card])\n+ self._apply_single_move(auto_rec)\n+ move_record.auto_moves.append(auto_rec)\n+ \n+ any_homed = True\n+ break\n+ \n+ if any_homed:\n+ continue\n+\n+ # Check tableaus\n+ for i, col in enumerate(self.tableaus):\n+ if col:\n+ card = col[-1]\n+ if self._should_auto_home(card):\n+ from_p = Position(LocationType.TABLEAU, i)\n+ suit_idx = list(Suit).index(card.suit)\n+ to_p = Position(LocationType.FOUNDATION, suit_idx)\n+ \n+ auto_rec = MoveRecord(from_pos=from_p, to_pos=to_p, cards=[card])\n+ self._apply_single_move(auto_rec)\n+ move_record.auto_moves.append(auto_rec)\n+ \n+ any_homed = True\n+ break\n+\n def undo(self) -> bool:\n \"\"\"Reverts the last move, including nested auto-homing steps.\"\"\"\n if not self.undo_stack:\n return False\n+ \n+ move_record = self.undo_stack.pop()\n+ \n+ # Revert auto moves in reverse order\n+ for auto_move in reversed(move_record.auto_moves):\n+ self._revert_single_move(auto_move)\n+ \n+ # Revert the main move\n+ self._revert_single_move(move_record)\n+ \n+ self.redo_stack.append(move_record)\n+ return True\n+\n+ def redo(self) -> bool:\n+ \"\"\"Reapplies the last undone move.\"\"\"\n+ if not self.redo_stack:\n+ return False\n+ \n+ move_record = self.redo_stack.pop()\n+ \n+ # Apply the main move\n+ self._apply_single_move(move_record)\n+ \n+ # Re-apply auto moves\n+ for auto_move in move_record.auto_moves:\n+ self._apply_single_move(auto_move)\n+ \n+ self.undo_stack.append(move_record)\n return True\n \n def check_win(self) -> bool:\ndiff --git a/card-game-app/tests/test_domain.py b/card-game-app/tests/test_domain.py\nindex 3ddb4344b..0fa4360ed 100644\n--- a/card-game-app/tests/test_domain.py\n+++ b/card-game-app/tests/test_domain.py\n@@ -1,3 +1,4 @@\n+import copy\n from card_game_tui.domain import GameState, Suit, Rank, Card, Deck, LocationType, Position\n \n def test_deck_deals_52_cards():\n@@ -18,3 +19,331 @@ def test_get_card_at():\n card = state.get_card_at(pos)\n assert card is not None\n assert isinstance(card, Card)\n+\n+def test_deck_deterministic_seeding():\n+ deck1 = Deck(seed=42)\n+ deck2 = Deck(seed=42)\n+ assert deck1.cards == deck2.cards\n+\n+ # Verify uniqueness of 52 cards\n+ assert len(set(deck1.cards)) == 52\n+\n+def test_moves_to_free_cells():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ # Put a card in Tableau 0\n+ c_hearts = Card(Suit.HEARTS, Rank.TEN)\n+ state.tableaus[0] = [c_hearts]\n+\n+ from_pos = Position(LocationType.TABLEAU, 0)\n+ to_pos = Position(LocationType.FREECELL, 0)\n+\n+ # Valid single card move to empty freecell\n+ assert state.validate_move(from_pos, to_pos, count=1) is True\n+ \n+ # Try invalid sequence count to free cell\n+ assert state.validate_move(from_pos, to_pos, count=2) is False\n+\n+ # Execute move\n+ assert state.execute_move(from_pos, to_pos, count=1) is True\n+ assert state.freecells[0] == c_hearts\n+ assert len(state.tableaus[0]) == 0\n+\n+ # Try moving to occupied freecell\n+ state.tableaus[0] = [Card(Suit.SPADES, Rank.FIVE)]\n+ assert state.validate_move(from_pos, to_pos, count=1) is False\n+\n+ # Try moving to invalid freecell index\n+ invalid_to_pos = Position(LocationType.FREECELL, 4)\n+ assert state.validate_move(from_pos, invalid_to_pos, count=1) is False\n+\n+def test_moves_to_foundations():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ ace_hearts = Card(Suit.HEARTS, Rank.ACE)\n+ two_hearts = Card(Suit.HEARTS, Rank.TWO)\n+ three_hearts = Card(Suit.HEARTS, Rank.THREE)\n+ ace_diamonds = Card(Suit.DIAMONDS, Rank.ACE)\n+\n+ state.tableaus[0] = [ace_hearts]\n+ state.tableaus[1] = [two_hearts]\n+ state.tableaus[2] = [three_hearts]\n+ state.tableaus[3] = [ace_diamonds]\n+\n+ # Move Ace of Hearts to index 0 (HEARTS) foundation\n+ # list(Suit) indices: 0: HEARTS, 1: DIAMONDS, 2: CLUBS, 3: SPADES\n+ hearts_found = Position(LocationType.FOUNDATION, 0)\n+ diamonds_found = Position(LocationType.FOUNDATION, 1)\n+\n+ # Valid Ace to empty foundation\n+ assert state.validate_move(Position(LocationType.TABLEAU, 0), hearts_found, count=1) is True\n+ # Invalid non-Ace to empty foundation\n+ assert state.validate_move(Position(LocationType.TABLEAU, 1), hearts_found, count=1) is False\n+ # Invalid Ace to wrong suit foundation\n+ assert state.validate_move(Position(LocationType.TABLEAU, 3), hearts_found, count=1) is False\n+\n+ # Execute valid Ace move\n+ assert state.execute_move(Position(LocationType.TABLEAU, 0), hearts_found, count=1) is True\n+ assert state.foundations[Suit.HEARTS] == [ace_hearts]\n+\n+ # Now Two of Hearts is on Tableau 1. Can it move to Hearts foundation? Yes.\n+ assert state.validate_move(Position(LocationType.TABLEAU, 1), hearts_found, count=1) is True\n+ # Can Three of Hearts move? No, since it needs Two of Hearts first.\n+ assert state.validate_move(Position(LocationType.TABLEAU, 2), hearts_found, count=1) is False\n+\n+def test_moves_to_tableau_single_card():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ # Red 8 (Hearts) on Black 9 (Spades)\n+ c_red8 = Card(Suit.HEARTS, Rank.EIGHT)\n+ c_black9 = Card(Suit.SPADES, Rank.NINE)\n+ \n+ state.tableaus[0] = [c_red8]\n+ state.tableaus[1] = [c_black9]\n+\n+ # Test moving Red 8 onto Black 9\n+ assert state.validate_move(Position(LocationType.TABLEAU, 0), Position(LocationType.TABLEAU, 1), count=1) is True\n+\n+ # Test same color invalid move: Red 8 (Hearts) on Red 9 (Diamonds)\n+ c_red9 = Card(Suit.DIAMONDS, Rank.NINE)\n+ state.tableaus[1] = [c_red9]\n+ assert state.validate_move(Position(LocationType.TABLEAU, 0), Position(LocationType.TABLEAU, 1), count=1) is False\n+\n+ # Test wrong rank invalid move: Red 8 on Black 10 (Spades)\n+ c_black10 = Card(Suit.SPADES, Rank.TEN)\n+ state.tableaus[1] = [c_black10]\n+ assert state.validate_move(Position(LocationType.TABLEAU, 0), Position(LocationType.TABLEAU, 1), count=1) is False\n+\n+ # Test moving to empty tableau\n+ state.tableaus[1] = []\n+ assert state.validate_move(Position(LocationType.TABLEAU, 0), Position(LocationType.TABLEAU, 1), count=1) is True\n+\n+def test_sequence_moves_tableau_to_tableau():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+ \n+ # Red 10, Black 9, Red 8, Black 7, Red 6\n+ c10 = Card(Suit.HEARTS, Rank.TEN)\n+ c9 = Card(Suit.SPADES, Rank.NINE)\n+ c8 = Card(Suit.DIAMONDS, Rank.EIGHT)\n+ c7 = Card(Suit.CLUBS, Rank.SEVEN)\n+ c6 = Card(Suit.HEARTS, Rank.SIX)\n+ \n+ state.tableaus[0] = [c10, c9, c8, c7, c6]\n+ state.tableaus[1] = [Card(Suit.SPADES, Rank.JACK)]\n+ \n+ # 4 empty freecells, 6 empty tableaus.\n+ # Exclude destination: no, destination is Col 1 which has 1 card (not empty).\n+ # Transit empty tableaus = 6\n+ # Max cards = (1 + 4) * 2^6 = 5 * 64 = 320 cards.\n+ # Moving 5 cards should be valid!\n+ from_pos = Position(LocationType.TABLEAU, 0)\n+ to_pos = Position(LocationType.TABLEAU, 1)\n+ assert state.validate_move(from_pos, to_pos, count=5) is True\n+ \n+ # Restrict capacity\n+ state.freecells = [Card(Suit.CLUBS, Rank.TWO)] * 4 # 0 empty freecells\n+ for i in range(2, 8):\n+ state.tableaus[i] = [Card(Suit.DIAMONDS, Rank.KING)] # 0 empty tableaus\n+ # Now empty freecells = 0, empty tableaus = 0\n+ # Max cards = (1 + 0) * 2^0 = 1\n+ # Moving 5 cards should be invalid\n+ assert state.validate_move(from_pos, to_pos, count=5) is False\n+\n+def test_sequence_moves_to_empty_tableau():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ # Sequence of 3 cards on Col 0: Red 10, Black 9, Red 8\n+ c10 = Card(Suit.HEARTS, Rank.TEN)\n+ c9 = Card(Suit.SPADES, Rank.NINE)\n+ c8 = Card(Suit.DIAMONDS, Rank.EIGHT)\n+ state.tableaus[0] = [c10, c9, c8]\n+\n+ # Destination is Col 1 (empty)\n+ # We want to move 2 cards: Black 9, Red 8\n+ # Capacity constraint:\n+ # Destination Col 1 is empty, so transit_empty_tableaus = empty_tableaus - 1.\n+ # Empty tableaus before move = 7.\n+ # Transit empty tableaus = 6.\n+ # Empty free cells = 4.\n+ # Max cards = (1 + 4) * 2^6 = 320.\n+ from_pos = Position(LocationType.TABLEAU, 0)\n+ to_pos = Position(LocationType.TABLEAU, 1)\n+ assert state.validate_move(from_pos, to_pos, count=2) is True\n+\n+ # Restrict capacity so Max Cards is exactly 1\n+ state.freecells = [Card(Suit.CLUBS, Rank.TWO)] * 4 # 0 empty free cells\n+ for i in range(2, 8):\n+ state.tableaus[i] = [Card(Suit.DIAMONDS, Rank.KING)] # 0 transit empty tableaus\n+ # Empty freecells = 0, empty tableaus = 1 (Col 1).\n+ # Since Col 1 is the destination, transit_empty_tableaus = 1 - 1 = 0.\n+ # Max cards = (1 + 0) * 2^0 = 1.\n+ # Moving 2 cards should be invalid, but 1 card should be valid.\n+ assert state.validate_move(from_pos, to_pos, count=2) is False\n+ assert state.validate_move(from_pos, to_pos, count=1) is True\n+\n+def test_auto_homing_logic():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ # Hearts is RED. Opposite suits are CLUBS and SPADES.\n+ # Put Ace of Hearts in Tableau 0.\n+ state.tableaus[0] = [Card(Suit.HEARTS, Rank.ACE)]\n+ # Put King of Spades in Tableau 1 to use as a dummy move trigger.\n+ state.tableaus[1] = [Card(Suit.SPADES, Rank.KING)]\n+ \n+ assert len(state.foundations[Suit.HEARTS]) == 0\n+ \n+ # Execute move of King of Spades to FreeCell 0. This should trigger auto-homing of Ace of Hearts.\n+ from_pos = Position(LocationType.TABLEAU, 1)\n+ to_pos = Position(LocationType.FREECELL, 0)\n+ success = state.execute_move(from_pos, to_pos, count=1)\n+ assert success is True\n+ \n+ assert state.freecells[0] == Card(Suit.SPADES, Rank.KING)\n+ assert len(state.tableaus[0]) == 0\n+ assert len(state.foundations[Suit.HEARTS]) == 1\n+ assert state.foundations[Suit.HEARTS][0] == Card(Suit.HEARTS, Rank.ACE)\n+ \n+ # Two of Hearts is put in Tableau 0.\n+ # Foundations: Hearts has Ace. CLUBS has [], SPADES has [].\n+ # Opposite color (Black) lower cards are Ace of Clubs and Ace of Spades.\n+ # Since they are NOT in the foundations, Two of Hearts should NOT auto-home.\n+ state.tableaus[0] = [Card(Suit.HEARTS, Rank.TWO)]\n+ \n+ # Move King of Spades from FreeCell 0 to Tableau 1 to trigger auto-homing checks\n+ from_pos = Position(LocationType.FREECELL, 0)\n+ to_pos = Position(LocationType.TABLEAU, 1)\n+ success = state.execute_move(from_pos, to_pos, count=1)\n+ assert success is True\n+ \n+ # Two of Hearts should still be in Tableau 0 (not auto-homed)\n+ assert len(state.tableaus[0]) == 1\n+ assert state.tableaus[0][0] == Card(Suit.HEARTS, Rank.TWO)\n+ assert len(state.foundations[Suit.HEARTS]) == 1\n+ \n+ # Place Ace of Clubs and Ace of Spades in their foundations.\n+ state.foundations[Suit.CLUBS] = [Card(Suit.CLUBS, Rank.ACE)]\n+ state.foundations[Suit.SPADES] = [Card(Suit.SPADES, Rank.ACE)]\n+ \n+ # Move King of Spades back to FreeCell 0 to trigger auto-homing checks\n+ from_pos = Position(LocationType.TABLEAU, 1)\n+ to_pos = Position(LocationType.FREECELL, 0)\n+ success = state.execute_move(from_pos, to_pos, count=1)\n+ assert success is True\n+ \n+ # Two of Hearts should now have auto-homed!\n+ assert len(state.tableaus[0]) == 0\n+ assert len(state.foundations[Suit.HEARTS]) == 2\n+ assert state.foundations[Suit.HEARTS][1] == Card(Suit.HEARTS, Rank.TWO)\n+\n+def test_undo_redo_system():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ # Col 0: [Red 10 (Hearts)]\n+ # Col 1: [Black J (Spades)]\n+ c10 = Card(Suit.HEARTS, Rank.TEN)\n+ cJ = Card(Suit.SPADES, Rank.JACK)\n+ state.tableaus[0] = [c10]\n+ state.tableaus[1] = [cJ]\n+\n+ # Save original state for verification\n+ orig_tableaus = copy.deepcopy(state.tableaus)\n+ orig_freecells = copy.deepcopy(state.freecells)\n+ orig_foundations = copy.deepcopy(state.foundations)\n+\n+ # 1. Execute a move\n+ from_pos = Position(LocationType.TABLEAU, 0)\n+ to_pos = Position(LocationType.TABLEAU, 1)\n+ success = state.execute_move(from_pos, to_pos, count=1)\n+ assert success is True\n+ \n+ assert state.tableaus[0] == []\n+ assert state.tableaus[1] == [cJ, c10]\n+ \n+ # 2. Undo the move\n+ undo_success = state.undo()\n+ assert undo_success is True\n+ assert state.tableaus == orig_tableaus\n+ assert state.freecells == orig_freecells\n+ assert state.foundations == orig_foundations\n+\n+ # 3. Redo the move\n+ redo_success = state.redo()\n+ assert redo_success is True\n+ assert state.tableaus[0] == []\n+ assert state.tableaus[1] == [cJ, c10]\n+\n+ # 4. Undo again to restore\n+ assert state.undo() is True\n+ assert state.tableaus == orig_tableaus\n+\n+def test_undo_with_auto_homing():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ # Tableau 0: Ace of Hearts\n+ # Tableau 1: King of Spades\n+ # Move King of Spades to FreeCell 0. This will trigger auto-homing of Ace of Hearts to foundation.\n+ state.tableaus[0] = [Card(Suit.HEARTS, Rank.ACE)]\n+ state.tableaus[1] = [Card(Suit.SPADES, Rank.KING)]\n+\n+ orig_tableaus = copy.deepcopy(state.tableaus)\n+ orig_freecells = copy.deepcopy(state.freecells)\n+ orig_foundations = copy.deepcopy(state.foundations)\n+\n+ from_pos = Position(LocationType.TABLEAU, 1)\n+ to_pos = Position(LocationType.FREECELL, 0)\n+ success = state.execute_move(from_pos, to_pos, count=1)\n+ assert success is True\n+\n+ # Check state after move and auto-homing\n+ assert state.freecells[0] == Card(Suit.SPADES, Rank.KING)\n+ assert len(state.tableaus[0]) == 0\n+ assert len(state.foundations[Suit.HEARTS]) == 1\n+\n+ # Undo the move! This should revert both King of Spades and Ace of Hearts!\n+ undo_success = state.undo()\n+ assert undo_success is True\n+ assert state.tableaus == orig_tableaus\n+ assert state.freecells == orig_freecells\n+ assert state.foundations == orig_foundations\n+\n+ # Redo the move!\n+ redo_success = state.redo()\n+ assert redo_success is True\n+ assert state.freecells[0] == Card(Suit.SPADES, Rank.KING)\n+ assert len(state.tableaus[0]) == 0\n+ assert len(state.foundations[Suit.HEARTS]) == 1\n+\n+def test_win_detection():\n+ state = GameState()\n+ # Fill foundations\n+ for suit in Suit:\n+ state.foundations[suit] = [Card(suit, rank) for rank in Rank]\n+ assert state.check_win() is True\n+\n+ # Remove one card\n+ state.foundations[Suit.HEARTS].pop()\n+ assert state.check_win() is False\n", + "summary": { + "files_changed": 11, + "additions": 1238, + "deletions": 0 + } + } + }, + { + "seq": 375, + "checkpoint": { + "timestamp": "2026-06-04T18:51:24.387894Z", + "current_node": "verify_data", + "completed_nodes": [ + "start", + "expand_spec", + "impl_setup", + "verify_setup", + "check_setup", + "impl_data", + "verify_data" + ], + "node_retries": {}, + "context_values": { + "internal.fidelity": "compact", + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", + "thread.start.current_node": "expand_spec", + "failure_signature": "", + "current_node": "verify_data", + "last_response": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python fi", + "internal.retry_count.impl_setup": 0, + "internal.node_visit_count": 1, + "thread.verify_setup.current_node": "check_setup", + "graph.rankdir": "LR", + "graph.default_max_retries": "3", + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "internal.retry_count.expand_spec": 0, + "internal.retry_count.start": 0, + "internal.retry_count.check_setup": 0, + "internal.retry_count.verify_setup": 0, + "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", + "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", + "internal.retry_count.verify_data": 0, + "thread.check_setup.current_node": "impl_data", + "graph.retry_target": "impl_setup", + "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", + "internal.work_dir": "/home/daytona/workspace/fabro", + "thread.expand_spec.current_node": "impl_setup", + "internal.retry_count.impl_data": 0, + "internal.thread_id": "verify", + "failure_class": "", + "outcome": "succeeded", + "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", + "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`.", + "graph.fallback_retry_target": "impl_logic", + "thread.verify.current_node": "verify_data", + "last_stage": "verify_data" + }, + "node_outcomes": { "expand_spec": { "status": "succeeded", "context_updates": { - "last_stage": "expand_spec", "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", - "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc" + "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc", + "last_stage": "expand_spec" }, "notes": "Stage completed: expand_spec", "usage": { @@ -1587,217 +1831,12 @@ "active_time_ms": 73263 } }, - "impl_data": { - "status": "succeeded", - "context_updates": { - "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`.", - "last_stage": "impl_data", - "last_response": "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, an" - }, - "notes": "Stage completed: impl_data", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 179865, - "output_tokens": 10451, - "reasoning_tokens": 21516, - "cache_read_tokens": 641688, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 653753 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py", - "/home/daytona/workspace/fabro/card-game-app/tests/test_domain.py", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 193731, - "tool_time_ms": 20404, - "active_time_ms": 214135 - } - }, - "verify_setup": { - "status": "succeeded", - "context_updates": { - "last_stage": "verify_setup", - "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", - "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca" - }, - "notes": "Stage completed: verify_setup", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 185923, - "output_tokens": 1136, - "reasoning_tokens": 1068, - "cache_read_tokens": 4044, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 299326 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/.ai/verify_setup.md", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 33160, - "tool_time_ms": 20341, - "active_time_ms": 53501 - } - } - }, - "next_node_id": "verify_data", - "git_commit_sha": "f2b42d643921fb41e45cb4cf43c75efafe27696e", - "node_visits": { - "verify_setup": 1, - "start": 1, - "impl_setup": 1, - "check_setup": 1, - "expand_spec": 1, - "impl_data": 1 - } - }, - "diff": { - "patch": "diff --git a/card-game-app/src/card_game_tui/domain.py b/card-game-app/src/card_game_tui/domain.py\nindex db4a2fa8f..fe733cef3 100644\n--- a/card-game-app/src/card_game_tui/domain.py\n+++ b/card-game-app/src/card_game_tui/domain.py\n@@ -1,5 +1,5 @@\n import random\n-from dataclasses import dataclass\n+from dataclasses import dataclass, field\n from enum import Enum, auto\n from typing import List, Union, Dict\n \n@@ -84,6 +84,10 @@ class MoveRecord:\n cards: List[Card] # Captured for single or sequence moves\n auto_moves: List['MoveRecord'] = None # Nested moves triggered by auto-homing\n \n+ def __post_init__(self):\n+ if self.auto_moves is None:\n+ self.auto_moves = []\n+\n class GameState:\n def __init__(self, seed: int = None):\n self.tableaus: List[List[Card]] = Deck(seed).deal()\n@@ -107,7 +111,108 @@ class GameState:\n \"\"\"\n Calculates whether moving 'count' cards from from_pos to to_pos is legal.\n \"\"\"\n- # Placeholder for validation\n+ if count < 1:\n+ return False\n+\n+ if from_pos == to_pos:\n+ return False\n+\n+ # Validate index boundaries\n+ if from_pos.type == LocationType.TABLEAU:\n+ if not (0 <= from_pos.index < 8):\n+ return False\n+ elif from_pos.type == LocationType.FREECELL:\n+ if not (0 <= from_pos.index < 4):\n+ return False\n+ if count != 1:\n+ return False\n+ elif from_pos.type == LocationType.FOUNDATION:\n+ return False\n+ else:\n+ return False\n+\n+ if to_pos.type == LocationType.TABLEAU:\n+ if not (0 <= to_pos.index < 8):\n+ return False\n+ elif to_pos.type == LocationType.FREECELL:\n+ if not (0 <= to_pos.index < 4):\n+ return False\n+ if count != 1:\n+ return False\n+ elif to_pos.type == LocationType.FOUNDATION:\n+ if not (0 <= to_pos.index < 4):\n+ return False\n+ if count != 1:\n+ return False\n+ else:\n+ return False\n+\n+ # Extract moving cards\n+ if from_pos.type == LocationType.FREECELL:\n+ card = self.freecells[from_pos.index]\n+ if card is None:\n+ return False\n+ moving_cards = [card]\n+ elif from_pos.type == LocationType.TABLEAU:\n+ col = self.tableaus[from_pos.index]\n+ if len(col) < count:\n+ return False\n+ moving_cards = col[-count:]\n+ else:\n+ return False\n+\n+ # Validate sequence if moving multiple cards\n+ if count > 1:\n+ for i in range(count - 1):\n+ c1 = moving_cards[i]\n+ c2 = moving_cards[i+1]\n+ if c2.rank.value != c1.rank.value - 1:\n+ return False\n+ if c2.suit.color == c1.suit.color:\n+ return False\n+\n+ # Validate destination constraints\n+ if to_pos.type == LocationType.FREECELL:\n+ if self.freecells[to_pos.index] is not None:\n+ return False\n+\n+ elif to_pos.type == LocationType.FOUNDATION:\n+ target_suit = list(Suit)[to_pos.index]\n+ card = moving_cards[0]\n+ if card.suit != target_suit:\n+ return False\n+ \n+ foundation_pile = self.foundations[target_suit]\n+ if card.rank == Rank.ACE:\n+ if len(foundation_pile) != 0:\n+ return False\n+ else:\n+ if len(foundation_pile) != card.rank.value - 1:\n+ return False\n+\n+ elif to_pos.type == LocationType.TABLEAU:\n+ dest_col = self.tableaus[to_pos.index]\n+ first_moving_card = moving_cards[0]\n+ if len(dest_col) > 0:\n+ dest_top_card = dest_col[-1]\n+ if first_moving_card.rank.value != dest_top_card.rank.value - 1:\n+ return False\n+ if first_moving_card.suit.color == dest_top_card.suit.color:\n+ return False\n+\n+ # Capacity constraint\n+ empty_freecells = sum(1 for c in self.freecells if c is None)\n+ empty_tableaus = sum(1 for col in self.tableaus if len(col) == 0)\n+\n+ if len(dest_col) == 0:\n+ transit_empty_tableaus = max(0, empty_tableaus - 1)\n+ else:\n+ transit_empty_tableaus = empty_tableaus\n+\n+ max_cards = (1 + empty_freecells) * (2 ** transit_empty_tableaus)\n+ if count > max_cards:\n+ return False\n+\n return True\n \n def execute_move(self, from_pos: Position, to_pos: Position, count: int = 1) -> bool:\n@@ -116,12 +221,156 @@ class GameState:\n \"\"\"\n if not self.validate_move(from_pos, to_pos, count):\n return False\n+\n+ # Extract moving cards\n+ if from_pos.type == LocationType.FREECELL:\n+ moving_cards = [self.freecells[from_pos.index]]\n+ elif from_pos.type == LocationType.TABLEAU:\n+ moving_cards = self.tableaus[from_pos.index][-count:]\n+ else:\n+ return False\n+\n+ move_record = MoveRecord(from_pos=from_pos, to_pos=to_pos, cards=moving_cards)\n+ \n+ # Apply the move\n+ self._apply_single_move(move_record)\n+ \n+ # Run auto-homing\n+ self._run_auto_homing(move_record)\n+ \n+ # Record on stacks\n+ self.undo_stack.append(move_record)\n+ self.redo_stack.clear()\n+ return True\n+\n+ def _apply_single_move(self, record: MoveRecord):\n+ # Remove from from_pos\n+ if record.from_pos.type == LocationType.FREECELL:\n+ self.freecells[record.from_pos.index] = None\n+ elif record.from_pos.type == LocationType.TABLEAU:\n+ count = len(record.cards)\n+ self.tableaus[record.from_pos.index] = self.tableaus[record.from_pos.index][:-count]\n+\n+ # Put to to_pos\n+ if record.to_pos.type == LocationType.FREECELL:\n+ self.freecells[record.to_pos.index] = record.cards[0]\n+ elif record.to_pos.type == LocationType.FOUNDATION:\n+ target_suit = list(Suit)[record.to_pos.index]\n+ self.foundations[target_suit].append(record.cards[0])\n+ elif record.to_pos.type == LocationType.TABLEAU:\n+ self.tableaus[record.to_pos.index].extend(record.cards)\n+\n+ def _revert_single_move(self, record: MoveRecord):\n+ # Remove from to_pos\n+ if record.to_pos.type == LocationType.FREECELL:\n+ self.freecells[record.to_pos.index] = None\n+ elif record.to_pos.type == LocationType.FOUNDATION:\n+ target_suit = list(Suit)[record.to_pos.index]\n+ self.foundations[target_suit].pop()\n+ elif record.to_pos.type == LocationType.TABLEAU:\n+ count = len(record.cards)\n+ self.tableaus[record.to_pos.index] = self.tableaus[record.to_pos.index][:-count]\n+\n+ # Put to from_pos\n+ if record.from_pos.type == LocationType.FREECELL:\n+ self.freecells[record.from_pos.index] = record.cards[0]\n+ elif record.from_pos.type == LocationType.TABLEAU:\n+ self.tableaus[record.from_pos.index].extend(record.cards)\n+\n+ def _should_auto_home(self, card: Card) -> bool:\n+ \"\"\"\n+ Checks if a card can be safely auto-homed to the foundations.\n+ \"\"\"\n+ target_foundation = self.foundations[card.suit]\n+ if card.rank.value != len(target_foundation) + 1:\n+ return False\n+\n+ # Opposite color suits must have all lower cards in the foundations\n+ if card.suit.color == \"RED\":\n+ opp_suits = [Suit.CLUBS, Suit.SPADES]\n+ else:\n+ opp_suits = [Suit.HEARTS, Suit.DIAMONDS]\n+\n+ for s_opp in opp_suits:\n+ if len(self.foundations[s_opp]) < card.rank.value - 1:\n+ return False\n+\n return True\n \n+ def _run_auto_homing(self, move_record: MoveRecord):\n+ \"\"\"\n+ Scans freecells and tableau tops, moving eligible cards to foundations.\n+ Repeats until no more cards can be auto-homed.\n+ \"\"\"\n+ any_homed = True\n+ while any_homed:\n+ any_homed = False\n+ \n+ # Check free cells\n+ for i, card in enumerate(self.freecells):\n+ if card is not None and self._should_auto_home(card):\n+ from_p = Position(LocationType.FREECELL, i)\n+ suit_idx = list(Suit).index(card.suit)\n+ to_p = Position(LocationType.FOUNDATION, suit_idx)\n+ \n+ auto_rec = MoveRecord(from_pos=from_p, to_pos=to_p, cards=[card])\n+ self._apply_single_move(auto_rec)\n+ move_record.auto_moves.append(auto_rec)\n+ \n+ any_homed = True\n+ break\n+ \n+ if any_homed:\n+ continue\n+\n+ # Check tableaus\n+ for i, col in enumerate(self.tableaus):\n+ if col:\n+ card = col[-1]\n+ if self._should_auto_home(card):\n+ from_p = Position(LocationType.TABLEAU, i)\n+ suit_idx = list(Suit).index(card.suit)\n+ to_p = Position(LocationType.FOUNDATION, suit_idx)\n+ \n+ auto_rec = MoveRecord(from_pos=from_p, to_pos=to_p, cards=[card])\n+ self._apply_single_move(auto_rec)\n+ move_record.auto_moves.append(auto_rec)\n+ \n+ any_homed = True\n+ break\n+\n def undo(self) -> bool:\n \"\"\"Reverts the last move, including nested auto-homing steps.\"\"\"\n if not self.undo_stack:\n return False\n+ \n+ move_record = self.undo_stack.pop()\n+ \n+ # Revert auto moves in reverse order\n+ for auto_move in reversed(move_record.auto_moves):\n+ self._revert_single_move(auto_move)\n+ \n+ # Revert the main move\n+ self._revert_single_move(move_record)\n+ \n+ self.redo_stack.append(move_record)\n+ return True\n+\n+ def redo(self) -> bool:\n+ \"\"\"Reapplies the last undone move.\"\"\"\n+ if not self.redo_stack:\n+ return False\n+ \n+ move_record = self.redo_stack.pop()\n+ \n+ # Apply the main move\n+ self._apply_single_move(move_record)\n+ \n+ # Re-apply auto moves\n+ for auto_move in move_record.auto_moves:\n+ self._apply_single_move(auto_move)\n+ \n+ self.undo_stack.append(move_record)\n return True\n \n def check_win(self) -> bool:\ndiff --git a/card-game-app/tests/test_domain.py b/card-game-app/tests/test_domain.py\nindex 3ddb4344b..0fa4360ed 100644\n--- a/card-game-app/tests/test_domain.py\n+++ b/card-game-app/tests/test_domain.py\n@@ -1,3 +1,4 @@\n+import copy\n from card_game_tui.domain import GameState, Suit, Rank, Card, Deck, LocationType, Position\n \n def test_deck_deals_52_cards():\n@@ -18,3 +19,331 @@ def test_get_card_at():\n card = state.get_card_at(pos)\n assert card is not None\n assert isinstance(card, Card)\n+\n+def test_deck_deterministic_seeding():\n+ deck1 = Deck(seed=42)\n+ deck2 = Deck(seed=42)\n+ assert deck1.cards == deck2.cards\n+\n+ # Verify uniqueness of 52 cards\n+ assert len(set(deck1.cards)) == 52\n+\n+def test_moves_to_free_cells():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ # Put a card in Tableau 0\n+ c_hearts = Card(Suit.HEARTS, Rank.TEN)\n+ state.tableaus[0] = [c_hearts]\n+\n+ from_pos = Position(LocationType.TABLEAU, 0)\n+ to_pos = Position(LocationType.FREECELL, 0)\n+\n+ # Valid single card move to empty freecell\n+ assert state.validate_move(from_pos, to_pos, count=1) is True\n+ \n+ # Try invalid sequence count to free cell\n+ assert state.validate_move(from_pos, to_pos, count=2) is False\n+\n+ # Execute move\n+ assert state.execute_move(from_pos, to_pos, count=1) is True\n+ assert state.freecells[0] == c_hearts\n+ assert len(state.tableaus[0]) == 0\n+\n+ # Try moving to occupied freecell\n+ state.tableaus[0] = [Card(Suit.SPADES, Rank.FIVE)]\n+ assert state.validate_move(from_pos, to_pos, count=1) is False\n+\n+ # Try moving to invalid freecell index\n+ invalid_to_pos = Position(LocationType.FREECELL, 4)\n+ assert state.validate_move(from_pos, invalid_to_pos, count=1) is False\n+\n+def test_moves_to_foundations():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ ace_hearts = Card(Suit.HEARTS, Rank.ACE)\n+ two_hearts = Card(Suit.HEARTS, Rank.TWO)\n+ three_hearts = Card(Suit.HEARTS, Rank.THREE)\n+ ace_diamonds = Card(Suit.DIAMONDS, Rank.ACE)\n+\n+ state.tableaus[0] = [ace_hearts]\n+ state.tableaus[1] = [two_hearts]\n+ state.tableaus[2] = [three_hearts]\n+ state.tableaus[3] = [ace_diamonds]\n+\n+ # Move Ace of Hearts to index 0 (HEARTS) foundation\n+ # list(Suit) indices: 0: HEARTS, 1: DIAMONDS, 2: CLUBS, 3: SPADES\n+ hearts_found = Position(LocationType.FOUNDATION, 0)\n+ diamonds_found = Position(LocationType.FOUNDATION, 1)\n+\n+ # Valid Ace to empty foundation\n+ assert state.validate_move(Position(LocationType.TABLEAU, 0), hearts_found, count=1) is True\n+ # Invalid non-Ace to empty foundation\n+ assert state.validate_move(Position(LocationType.TABLEAU, 1), hearts_found, count=1) is False\n+ # Invalid Ace to wrong suit foundation\n+ assert state.validate_move(Position(LocationType.TABLEAU, 3), hearts_found, count=1) is False\n+\n+ # Execute valid Ace move\n+ assert state.execute_move(Position(LocationType.TABLEAU, 0), hearts_found, count=1) is True\n+ assert state.foundations[Suit.HEARTS] == [ace_hearts]\n+\n+ # Now Two of Hearts is on Tableau 1. Can it move to Hearts foundation? Yes.\n+ assert state.validate_move(Position(LocationType.TABLEAU, 1), hearts_found, count=1) is True\n+ # Can Three of Hearts move? No, since it needs Two of Hearts first.\n+ assert state.validate_move(Position(LocationType.TABLEAU, 2), hearts_found, count=1) is False\n+\n+def test_moves_to_tableau_single_card():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ # Red 8 (Hearts) on Black 9 (Spades)\n+ c_red8 = Card(Suit.HEARTS, Rank.EIGHT)\n+ c_black9 = Card(Suit.SPADES, Rank.NINE)\n+ \n+ state.tableaus[0] = [c_red8]\n+ state.tableaus[1] = [c_black9]\n+\n+ # Test moving Red 8 onto Black 9\n+ assert state.validate_move(Position(LocationType.TABLEAU, 0), Position(LocationType.TABLEAU, 1), count=1) is True\n+\n+ # Test same color invalid move: Red 8 (Hearts) on Red 9 (Diamonds)\n+ c_red9 = Card(Suit.DIAMONDS, Rank.NINE)\n+ state.tableaus[1] = [c_red9]\n+ assert state.validate_move(Position(LocationType.TABLEAU, 0), Position(LocationType.TABLEAU, 1), count=1) is False\n+\n+ # Test wrong rank invalid move: Red 8 on Black 10 (Spades)\n+ c_black10 = Card(Suit.SPADES, Rank.TEN)\n+ state.tableaus[1] = [c_black10]\n+ assert state.validate_move(Position(LocationType.TABLEAU, 0), Position(LocationType.TABLEAU, 1), count=1) is False\n+\n+ # Test moving to empty tableau\n+ state.tableaus[1] = []\n+ assert state.validate_move(Position(LocationType.TABLEAU, 0), Position(LocationType.TABLEAU, 1), count=1) is True\n+\n+def test_sequence_moves_tableau_to_tableau():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+ \n+ # Red 10, Black 9, Red 8, Black 7, Red 6\n+ c10 = Card(Suit.HEARTS, Rank.TEN)\n+ c9 = Card(Suit.SPADES, Rank.NINE)\n+ c8 = Card(Suit.DIAMONDS, Rank.EIGHT)\n+ c7 = Card(Suit.CLUBS, Rank.SEVEN)\n+ c6 = Card(Suit.HEARTS, Rank.SIX)\n+ \n+ state.tableaus[0] = [c10, c9, c8, c7, c6]\n+ state.tableaus[1] = [Card(Suit.SPADES, Rank.JACK)]\n+ \n+ # 4 empty freecells, 6 empty tableaus.\n+ # Exclude destination: no, destination is Col 1 which has 1 card (not empty).\n+ # Transit empty tableaus = 6\n+ # Max cards = (1 + 4) * 2^6 = 5 * 64 = 320 cards.\n+ # Moving 5 cards should be valid!\n+ from_pos = Position(LocationType.TABLEAU, 0)\n+ to_pos = Position(LocationType.TABLEAU, 1)\n+ assert state.validate_move(from_pos, to_pos, count=5) is True\n+ \n+ # Restrict capacity\n+ state.freecells = [Card(Suit.CLUBS, Rank.TWO)] * 4 # 0 empty freecells\n+ for i in range(2, 8):\n+ state.tableaus[i] = [Card(Suit.DIAMONDS, Rank.KING)] # 0 empty tableaus\n+ # Now empty freecells = 0, empty tableaus = 0\n+ # Max cards = (1 + 0) * 2^0 = 1\n+ # Moving 5 cards should be invalid\n+ assert state.validate_move(from_pos, to_pos, count=5) is False\n+\n+def test_sequence_moves_to_empty_tableau():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ # Sequence of 3 cards on Col 0: Red 10, Black 9, Red 8\n+ c10 = Card(Suit.HEARTS, Rank.TEN)\n+ c9 = Card(Suit.SPADES, Rank.NINE)\n+ c8 = Card(Suit.DIAMONDS, Rank.EIGHT)\n+ state.tableaus[0] = [c10, c9, c8]\n+\n+ # Destination is Col 1 (empty)\n+ # We want to move 2 cards: Black 9, Red 8\n+ # Capacity constraint:\n+ # Destination Col 1 is empty, so transit_empty_tableaus = empty_tableaus - 1.\n+ # Empty tableaus before move = 7.\n+ # Transit empty tableaus = 6.\n+ # Empty free cells = 4.\n+ # Max cards = (1 + 4) * 2^6 = 320.\n+ from_pos = Position(LocationType.TABLEAU, 0)\n+ to_pos = Position(LocationType.TABLEAU, 1)\n+ assert state.validate_move(from_pos, to_pos, count=2) is True\n+\n+ # Restrict capacity so Max Cards is exactly 1\n+ state.freecells = [Card(Suit.CLUBS, Rank.TWO)] * 4 # 0 empty free cells\n+ for i in range(2, 8):\n+ state.tableaus[i] = [Card(Suit.DIAMONDS, Rank.KING)] # 0 transit empty tableaus\n+ # Empty freecells = 0, empty tableaus = 1 (Col 1).\n+ # Since Col 1 is the destination, transit_empty_tableaus = 1 - 1 = 0.\n+ # Max cards = (1 + 0) * 2^0 = 1.\n+ # Moving 2 cards should be invalid, but 1 card should be valid.\n+ assert state.validate_move(from_pos, to_pos, count=2) is False\n+ assert state.validate_move(from_pos, to_pos, count=1) is True\n+\n+def test_auto_homing_logic():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ # Hearts is RED. Opposite suits are CLUBS and SPADES.\n+ # Put Ace of Hearts in Tableau 0.\n+ state.tableaus[0] = [Card(Suit.HEARTS, Rank.ACE)]\n+ # Put King of Spades in Tableau 1 to use as a dummy move trigger.\n+ state.tableaus[1] = [Card(Suit.SPADES, Rank.KING)]\n+ \n+ assert len(state.foundations[Suit.HEARTS]) == 0\n+ \n+ # Execute move of King of Spades to FreeCell 0. This should trigger auto-homing of Ace of Hearts.\n+ from_pos = Position(LocationType.TABLEAU, 1)\n+ to_pos = Position(LocationType.FREECELL, 0)\n+ success = state.execute_move(from_pos, to_pos, count=1)\n+ assert success is True\n+ \n+ assert state.freecells[0] == Card(Suit.SPADES, Rank.KING)\n+ assert len(state.tableaus[0]) == 0\n+ assert len(state.foundations[Suit.HEARTS]) == 1\n+ assert state.foundations[Suit.HEARTS][0] == Card(Suit.HEARTS, Rank.ACE)\n+ \n+ # Two of Hearts is put in Tableau 0.\n+ # Foundations: Hearts has Ace. CLUBS has [], SPADES has [].\n+ # Opposite color (Black) lower cards are Ace of Clubs and Ace of Spades.\n+ # Since they are NOT in the foundations, Two of Hearts should NOT auto-home.\n+ state.tableaus[0] = [Card(Suit.HEARTS, Rank.TWO)]\n+ \n+ # Move King of Spades from FreeCell 0 to Tableau 1 to trigger auto-homing checks\n+ from_pos = Position(LocationType.FREECELL, 0)\n+ to_pos = Position(LocationType.TABLEAU, 1)\n+ success = state.execute_move(from_pos, to_pos, count=1)\n+ assert success is True\n+ \n+ # Two of Hearts should still be in Tableau 0 (not auto-homed)\n+ assert len(state.tableaus[0]) == 1\n+ assert state.tableaus[0][0] == Card(Suit.HEARTS, Rank.TWO)\n+ assert len(state.foundations[Suit.HEARTS]) == 1\n+ \n+ # Place Ace of Clubs and Ace of Spades in their foundations.\n+ state.foundations[Suit.CLUBS] = [Card(Suit.CLUBS, Rank.ACE)]\n+ state.foundations[Suit.SPADES] = [Card(Suit.SPADES, Rank.ACE)]\n+ \n+ # Move King of Spades back to FreeCell 0 to trigger auto-homing checks\n+ from_pos = Position(LocationType.TABLEAU, 1)\n+ to_pos = Position(LocationType.FREECELL, 0)\n+ success = state.execute_move(from_pos, to_pos, count=1)\n+ assert success is True\n+ \n+ # Two of Hearts should now have auto-homed!\n+ assert len(state.tableaus[0]) == 0\n+ assert len(state.foundations[Suit.HEARTS]) == 2\n+ assert state.foundations[Suit.HEARTS][1] == Card(Suit.HEARTS, Rank.TWO)\n+\n+def test_undo_redo_system():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ # Col 0: [Red 10 (Hearts)]\n+ # Col 1: [Black J (Spades)]\n+ c10 = Card(Suit.HEARTS, Rank.TEN)\n+ cJ = Card(Suit.SPADES, Rank.JACK)\n+ state.tableaus[0] = [c10]\n+ state.tableaus[1] = [cJ]\n+\n+ # Save original state for verification\n+ orig_tableaus = copy.deepcopy(state.tableaus)\n+ orig_freecells = copy.deepcopy(state.freecells)\n+ orig_foundations = copy.deepcopy(state.foundations)\n+\n+ # 1. Execute a move\n+ from_pos = Position(LocationType.TABLEAU, 0)\n+ to_pos = Position(LocationType.TABLEAU, 1)\n+ success = state.execute_move(from_pos, to_pos, count=1)\n+ assert success is True\n+ \n+ assert state.tableaus[0] == []\n+ assert state.tableaus[1] == [cJ, c10]\n+ \n+ # 2. Undo the move\n+ undo_success = state.undo()\n+ assert undo_success is True\n+ assert state.tableaus == orig_tableaus\n+ assert state.freecells == orig_freecells\n+ assert state.foundations == orig_foundations\n+\n+ # 3. Redo the move\n+ redo_success = state.redo()\n+ assert redo_success is True\n+ assert state.tableaus[0] == []\n+ assert state.tableaus[1] == [cJ, c10]\n+\n+ # 4. Undo again to restore\n+ assert state.undo() is True\n+ assert state.tableaus == orig_tableaus\n+\n+def test_undo_with_auto_homing():\n+ state = GameState()\n+ state.tableaus = [[] for _ in range(8)]\n+ state.freecells = [None] * 4\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ # Tableau 0: Ace of Hearts\n+ # Tableau 1: King of Spades\n+ # Move King of Spades to FreeCell 0. This will trigger auto-homing of Ace of Hearts to foundation.\n+ state.tableaus[0] = [Card(Suit.HEARTS, Rank.ACE)]\n+ state.tableaus[1] = [Card(Suit.SPADES, Rank.KING)]\n+\n+ orig_tableaus = copy.deepcopy(state.tableaus)\n+ orig_freecells = copy.deepcopy(state.freecells)\n+ orig_foundations = copy.deepcopy(state.foundations)\n+\n+ from_pos = Position(LocationType.TABLEAU, 1)\n+ to_pos = Position(LocationType.FREECELL, 0)\n+ success = state.execute_move(from_pos, to_pos, count=1)\n+ assert success is True\n+\n+ # Check state after move and auto-homing\n+ assert state.freecells[0] == Card(Suit.SPADES, Rank.KING)\n+ assert len(state.tableaus[0]) == 0\n+ assert len(state.foundations[Suit.HEARTS]) == 1\n+\n+ # Undo the move! This should revert both King of Spades and Ace of Hearts!\n+ undo_success = state.undo()\n+ assert undo_success is True\n+ assert state.tableaus == orig_tableaus\n+ assert state.freecells == orig_freecells\n+ assert state.foundations == orig_foundations\n+\n+ # Redo the move!\n+ redo_success = state.redo()\n+ assert redo_success is True\n+ assert state.freecells[0] == Card(Suit.SPADES, Rank.KING)\n+ assert len(state.tableaus[0]) == 0\n+ assert len(state.foundations[Suit.HEARTS]) == 1\n+\n+def test_win_detection():\n+ state = GameState()\n+ # Fill foundations\n+ for suit in Suit:\n+ state.foundations[suit] = [Card(suit, rank) for rank in Rank]\n+ assert state.check_win() is True\n+\n+ # Remove one card\n+ state.foundations[Suit.HEARTS].pop()\n+ assert state.check_win() is False\n", - "summary": { - "files_changed": 11, - "additions": 1238, - "deletions": 0 - } - } - }, - { - "seq": 375, - "checkpoint": { - "timestamp": "2026-06-04T18:51:24.387894Z", - "current_node": "verify_data", - "completed_nodes": [ - "start", - "expand_spec", - "impl_setup", - "verify_setup", - "check_setup", - "impl_data", - "verify_data" - ], - "node_retries": {}, - "context_values": { - "thread.check_setup.current_node": "impl_data", - "internal.retry_count.verify_data": 0, - "outcome": "succeeded", - "failure_class": "", - "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", - "failure_signature": "", - "thread.verify.current_node": "verify_data", - "thread.expand_spec.current_node": "impl_setup", - "last_response": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python fi", - "internal.retry_count.check_setup": 0, - "internal.node_visit_count": 1, - "graph.default_max_retries": "3", - "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", - "internal.retry_count.impl_data": 0, - "internal.thread_id": "verify", - "graph.fallback_retry_target": "impl_logic", - "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", - "internal.retry_count.verify_setup": 0, - "current_node": "verify_data", - "internal.retry_count.start": 0, - "last_stage": "verify_data", - "thread.verify_setup.current_node": "check_setup", - "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`.", - "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", - "thread.start.current_node": "expand_spec", - "internal.retry_count.expand_spec": 0, - "graph.rankdir": "LR", - "internal.retry_count.impl_setup": 0, - "internal.fidelity": "compact", - "internal.work_dir": "/home/daytona/workspace/fabro", - "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", - "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", - "graph.retry_target": "impl_setup" - }, - "node_outcomes": { - "start": { - "status": "succeeded", - "usage": null - }, - "check_setup": { - "status": "succeeded", - "notes": "Conditional node evaluated: check_setup", - "usage": null - }, - "verify_setup": { - "status": "succeeded", - "context_updates": { - "last_stage": "verify_setup", - "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", - "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca" - }, - "notes": "Stage completed: verify_setup", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 185923, - "output_tokens": 1136, - "reasoning_tokens": 1068, - "cache_read_tokens": 4044, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 299326 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/.ai/verify_setup.md", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 33160, - "tool_time_ms": 20341, - "active_time_ms": 53501 - } - }, "verify_data": { "status": "succeeded", "context_updates": { - "last_stage": "verify_data", "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", - "last_response": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python fi" + "last_response": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python fi", + "last_stage": "verify_data" }, "notes": "Stage completed: verify_data", "usage": { @@ -1833,53 +1872,21 @@ "active_time_ms": 44356 } }, - "expand_spec": { + "check_setup": { "status": "succeeded", - "context_updates": { - "last_stage": "expand_spec", - "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", - "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc" - }, - "notes": "Stage completed: expand_spec", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 85925, - "output_tokens": 4840, - "reasoning_tokens": 3421, - "cache_read_tokens": 20271, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 206276 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/.ai/card-game-spec.md", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 111896, - "tool_time_ms": 4207, - "active_time_ms": 116103 - } + "notes": "Conditional node evaluated: check_setup", + "usage": null + }, + "start": { + "status": "succeeded", + "usage": null }, "impl_data": { "status": "succeeded", "context_updates": { "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`.", - "last_stage": "impl_data", - "last_response": "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, an" + "last_response": "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, an", + "last_stage": "impl_data" }, "notes": "Stage completed: impl_data", "usage": { @@ -1916,14 +1923,14 @@ "active_time_ms": 214135 } }, - "impl_setup": { + "verify_setup": { "status": "succeeded", "context_updates": { - "last_response": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n -", - "last_stage": "impl_setup", - "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly." + "last_stage": "verify_setup", + "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", + "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca" }, - "notes": "Stage completed: impl_setup", + "notes": "Stage completed: verify_setup", "usage": { "input": { "usage": { @@ -1932,10 +1939,10 @@ "model_id": "gemini-3.5-flash" }, "tokens": { - "input_tokens": 144122, - "output_tokens": 3364, - "reasoning_tokens": 3387, - "cache_read_tokens": 129733, + "input_tokens": 185923, + "output_tokens": 1136, + "reasoning_tokens": 1068, + "cache_read_tokens": 4044, "cache_write_tokens": 0 } }, @@ -1944,24 +1951,17 @@ "storage_segments": [] } }, - "total_usd_micros": 296401 + "total_usd_micros": 299326 }, "files_touched": [ - "/home/daytona/workspace/fabro/card-game-app/README.md", - "/home/daytona/workspace/fabro/card-game-app/main.py", - "/home/daytona/workspace/fabro/card-game-app/pyproject.toml", - "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/__init__.py", - "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py", - "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/tui.py", - "/home/daytona/workspace/fabro/card-game-app/tests/__init__.py", - "/home/daytona/workspace/fabro/card-game-app/tests/test_domain.py", + "/home/daytona/workspace/fabro/.ai/verify_setup.md", "/home/daytona/workspace/fabro/status.json" ], "timing": { "wall_time_ms": 0, - "inference_time_ms": 54533, - "tool_time_ms": 18730, - "active_time_ms": 73263 + "inference_time_ms": 33160, + "tool_time_ms": 20341, + "active_time_ms": 53501 } } }, @@ -1969,11 +1969,11 @@ "git_commit_sha": "e70211e1da0dcf9ec267a9a36307bd834c208e51", "node_visits": { "verify_data": 1, - "check_setup": 1, + "verify_setup": 1, + "expand_spec": 1, "impl_data": 1, "impl_setup": 1, - "expand_spec": 1, - "verify_setup": 1, + "check_setup": 1, "start": 1 } }, @@ -2003,48 +2003,180 @@ ], "node_retries": {}, "context_values": { - "graph.rankdir": "LR", - "internal.retry_count.verify_setup": 0, - "internal.retry_count.impl_data": 0, - "graph.default_max_retries": "3", - "internal.fidelity": "compact", - "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.current_node": "verify_data", - "graph.retry_target": "impl_setup", - "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "internal.node_visit_count": 1, + "failure_signature": "", "last_response": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python fi", - "failure_class": "", - "internal.retry_count.check_data": 0, - "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", - "internal.retry_count.verify_data": 0, "internal.work_dir": "/home/daytona/workspace/fabro", + "internal.fidelity": "compact", + "internal.retry_count.impl_data": 0, + "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", + "thread.check_setup.current_node": "impl_data", + "outcome": "succeeded", + "internal.retry_count.verify_data": 0, + "failure_class": "", + "graph.default_max_retries": "3", + "thread.verify.current_node": "verify_data", + "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", + "internal.retry_count.check_data": 0, "thread.start.current_node": "expand_spec", - "internal.retry_count.impl_setup": 0, + "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", "thread.verify_data.current_node": "check_data", "internal.thread_id": "verify_data", - "failure_signature": "", - "graph.fallback_retry_target": "impl_logic", - "internal.retry_count.start": 0, - "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", - "internal.node_visit_count": 1, - "thread.check_setup.current_node": "impl_data", - "thread.verify_setup.current_node": "check_setup", - "outcome": "succeeded", "current_node": "check_data", - "thread.expand_spec.current_node": "impl_setup", - "internal.retry_count.expand_spec": 0, - "last_stage": "verify_data", - "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", "internal.retry_count.check_setup": 0, + "thread.expand_spec.current_node": "impl_setup", + "graph.retry_target": "impl_setup", + "last_stage": "verify_data", + "internal.retry_count.impl_setup": 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`.", + "internal.retry_count.expand_spec": 0, + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", + "internal.retry_count.start": 0, + "thread.verify_setup.current_node": "check_setup", + "internal.retry_count.verify_setup": 0, + "graph.rankdir": "LR", + "graph.fallback_retry_target": "impl_logic", "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", - "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY" + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly." }, "node_outcomes": { + "check_setup": { + "status": "succeeded", + "notes": "Conditional node evaluated: check_setup", + "usage": null + }, + "verify_data": { + "status": "succeeded", + "context_updates": { + "last_response": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python fi", + "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", + "last_stage": "verify_data" + }, + "notes": "Stage completed: verify_data", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 140156, + "output_tokens": 1930, + "reasoning_tokens": 1275, + "cache_read_tokens": 64902, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 248814 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/verify_data.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 42429, + "tool_time_ms": 1927, + "active_time_ms": 44356 + } + }, + "start": { + "status": "succeeded", + "usage": null + }, + "expand_spec": { + "status": "succeeded", + "context_updates": { + "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc", + "last_stage": "expand_spec", + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios." + }, + "notes": "Stage completed: expand_spec", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 85925, + "output_tokens": 4840, + "reasoning_tokens": 3421, + "cache_read_tokens": 20271, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 206276 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/card-game-spec.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 111896, + "tool_time_ms": 4207, + "active_time_ms": 116103 + } + }, + "verify_setup": { + "status": "succeeded", + "context_updates": { + "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca", + "last_stage": "verify_setup", + "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root." + }, + "notes": "Stage completed: verify_setup", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 185923, + "output_tokens": 1136, + "reasoning_tokens": 1068, + "cache_read_tokens": 4044, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 299326 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/verify_setup.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 33160, + "tool_time_ms": 20341, + "active_time_ms": 53501 + } + }, "impl_data": { "status": "succeeded", "context_updates": { - "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`.", "last_stage": "impl_data", + "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`.", "last_response": "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, an" }, "notes": "Stage completed: impl_data", @@ -2082,140 +2214,12 @@ "active_time_ms": 214135 } }, - "check_setup": { - "status": "succeeded", - "notes": "Conditional node evaluated: check_setup", - "usage": null - }, - "expand_spec": { - "status": "succeeded", - "context_updates": { - "last_stage": "expand_spec", - "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", - "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc" - }, - "notes": "Stage completed: expand_spec", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 85925, - "output_tokens": 4840, - "reasoning_tokens": 3421, - "cache_read_tokens": 20271, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 206276 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/.ai/card-game-spec.md", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 111896, - "tool_time_ms": 4207, - "active_time_ms": 116103 - } - }, - "verify_data": { - "status": "succeeded", - "context_updates": { - "last_stage": "verify_data", - "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", - "last_response": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python fi" - }, - "notes": "Stage completed: verify_data", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 140156, - "output_tokens": 1930, - "reasoning_tokens": 1275, - "cache_read_tokens": 64902, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 248814 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/.ai/verify_data.md", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 42429, - "tool_time_ms": 1927, - "active_time_ms": 44356 - } - }, - "verify_setup": { - "status": "succeeded", - "context_updates": { - "last_stage": "verify_setup", - "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", - "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca" - }, - "notes": "Stage completed: verify_setup", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 185923, - "output_tokens": 1136, - "reasoning_tokens": 1068, - "cache_read_tokens": 4044, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 299326 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/.ai/verify_setup.md", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 33160, - "tool_time_ms": 20341, - "active_time_ms": 53501 - } - }, "impl_setup": { "status": "succeeded", "context_updates": { "last_response": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n -", - "last_stage": "impl_setup", - "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly." + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "last_stage": "impl_setup" }, "notes": "Stage completed: impl_setup", "usage": { @@ -2262,23 +2266,19 @@ "status": "succeeded", "notes": "Conditional node evaluated: check_data", "usage": null - }, - "start": { - "status": "succeeded", - "usage": null } }, "next_node_id": "impl_logic", "git_commit_sha": "b287ce3a5fd4cb28ab48f542c63ac15bbd7c9c6e", "node_visits": { - "verify_data": 1, - "verify_setup": 1, - "check_setup": 1, "impl_setup": 1, - "start": 1, "impl_data": 1, + "check_setup": 1, "expand_spec": 1, - "check_data": 1 + "start": 1, + "check_data": 1, + "verify_setup": 1, + "verify_data": 1 } }, "diff": { @@ -2307,55 +2307,498 @@ ], "node_retries": {}, "context_values": { + "internal.retry_count.impl_setup": 0, + "thread.start.current_node": "expand_spec", + "last_response": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRec", "internal.retry_count.check_setup": 0, "failure_class": "", - "internal.retry_count.impl_setup": 0, - "internal.retry_count.verify_data": 0, - "internal.retry_count.verify_setup": 0, + "thread.verify.current_node": "verify_data", + "thread.hard.current_node": "impl_logic", + "outcome": "succeeded", + "last_stage": "impl_logic", + "graph.retry_target": "impl_setup", "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "thread.check_setup.current_node": "impl_data", + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", + "internal.retry_count.start": 0, "current_node": "impl_logic", + "graph.default_max_retries": "3", + "internal.retry_count.verify_data": 0, + "internal.retry_count.expand_spec": 0, + "internal.fidelity": "compact", + "thread.verify_data.current_node": "check_data", "internal.node_visit_count": 1, "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", - "internal.retry_count.check_data": 0, - "thread.verify_data.current_node": "check_data", - "thread.hard.current_node": "impl_logic", - "graph.fallback_retry_target": "impl_logic", - "internal.retry_count.expand_spec": 0, "internal.retry_count.impl_logic": 0, - "graph.default_max_retries": "3", - "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", - "internal.retry_count.impl_data": 0, - "graph.retry_target": "impl_setup", - "thread.start.current_node": "expand_spec", - "internal.thread_id": "hard", - "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", - "graph.rankdir": "LR", - "internal.work_dir": "/home/daytona/workspace/fabro", - "internal.retry_count.start": 0, - "thread.check_setup.current_node": "impl_data", - "thread.verify.current_node": "verify_data", - "last_stage": "impl_logic", - "failure_signature": "", - "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", - "outcome": "succeeded", - "internal.fidelity": "compact", - "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.expand_spec.current_node": "impl_setup", - "last_response": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRec", - "thread.verify_setup.current_node": "check_setup", + "graph.fallback_retry_target": "impl_logic", + "internal.retry_count.verify_setup": 0, "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", - "response.impl_logic": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState`).\n2. **Implemented/Enhanced Game Rules:**\n - **Initial setup/deal:** Fully handled inside `Deck` and `GameState` constructor, dealing 52 unique cards deterministically.\n - **Move/action validation:** Fully covered for tableau, free cell, and foundation moves, including proper transit and capacity calculations based on empty free cells/tableaus.\n - **Auto-complete helper actions:** Standard auto-homing behavior is implemented, moving eligible cards to foundations automatically and cleanly nesting them in `MoveRecord` so they are fully undoable/redoable.\n - **Win/loss condition:** Implemented and tested both `check_win()` and `check_loss()`. `check_loss()` correctly detects when the game has no legal moves remaining and is not yet won.\n - **Undo/Redo:** Reverts and reapplies both the primary action and any nested auto-homing steps.\n3. **Tests:** Added comprehensive test cases to `tests/test_domain.py` to cover `check_loss` under various conditions (not lost, won, and fully locked/lost).\n4. **Validation:** Ran all tests with `pytest` successfully, and confirmed that the `--smoke` test successfully initializes and validates the game.\n5. **Status File:** Wrote `status.json` with `\"outcome\": \"succeeded\"`." + "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`.", + "internal.work_dir": "/home/daytona/workspace/fabro", + "internal.thread_id": "hard", + "internal.retry_count.impl_data": 0, + "thread.verify_setup.current_node": "check_setup", + "graph.rankdir": "LR", + "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", + "internal.retry_count.check_data": 0, + "failure_signature": "", + "response.impl_logic": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState`).\n2. **Implemented/Enhanced Game Rules:**\n - **Initial setup/deal:** Fully handled inside `Deck` and `GameState` constructor, dealing 52 unique cards deterministically.\n - **Move/action validation:** Fully covered for tableau, free cell, and foundation moves, including proper transit and capacity calculations based on empty free cells/tableaus.\n - **Auto-complete helper actions:** Standard auto-homing behavior is implemented, moving eligible cards to foundations automatically and cleanly nesting them in `MoveRecord` so they are fully undoable/redoable.\n - **Win/loss condition:** Implemented and tested both `check_win()` and `check_loss()`. `check_loss()` correctly detects when the game has no legal moves remaining and is not yet won.\n - **Undo/Redo:** Reverts and reapplies both the primary action and any nested auto-homing steps.\n3. **Tests:** Added comprehensive test cases to `tests/test_domain.py` to cover `check_loss` under various conditions (not lost, won, and fully locked/lost).\n4. **Validation:** Ran all tests with `pytest` successfully, and confirmed that the `--smoke` test successfully initializes and validates the game.\n5. **Status File:** Wrote `status.json` with `\"outcome\": \"succeeded\"`.", + "thread.expand_spec.current_node": "impl_setup" }, "node_outcomes": { + "start": { + "status": "succeeded", + "usage": null + }, + "impl_data": { + "status": "succeeded", + "context_updates": { + "last_stage": "impl_data", + "last_response": "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, an", + "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`." + }, + "notes": "Stage completed: impl_data", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 179865, + "output_tokens": 10451, + "reasoning_tokens": 21516, + "cache_read_tokens": 641688, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 653753 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py", + "/home/daytona/workspace/fabro/card-game-app/tests/test_domain.py", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 193731, + "tool_time_ms": 20404, + "active_time_ms": 214135 + } + }, + "verify_setup": { + "status": "succeeded", + "context_updates": { + "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", + "last_stage": "verify_setup", + "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca" + }, + "notes": "Stage completed: verify_setup", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 185923, + "output_tokens": 1136, + "reasoning_tokens": 1068, + "cache_read_tokens": 4044, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 299326 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/verify_setup.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 33160, + "tool_time_ms": 20341, + "active_time_ms": 53501 + } + }, "check_setup": { "status": "succeeded", "notes": "Conditional node evaluated: check_setup", "usage": null }, + "check_data": { + "status": "succeeded", + "notes": "Conditional node evaluated: check_data", + "usage": null + }, + "verify_data": { + "status": "succeeded", + "context_updates": { + "last_stage": "verify_data", + "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", + "last_response": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python fi" + }, + "notes": "Stage completed: verify_data", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 140156, + "output_tokens": 1930, + "reasoning_tokens": 1275, + "cache_read_tokens": 64902, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 248814 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/verify_data.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 42429, + "tool_time_ms": 1927, + "active_time_ms": 44356 + } + }, + "expand_spec": { + "status": "succeeded", + "context_updates": { + "last_stage": "expand_spec", + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", + "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc" + }, + "notes": "Stage completed: expand_spec", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 85925, + "output_tokens": 4840, + "reasoning_tokens": 3421, + "cache_read_tokens": 20271, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 206276 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/card-game-spec.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 111896, + "tool_time_ms": 4207, + "active_time_ms": 116103 + } + }, + "impl_logic": { + "status": "succeeded", + "context_updates": { + "last_stage": "impl_logic", + "last_response": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRec", + "response.impl_logic": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState`).\n2. **Implemented/Enhanced Game Rules:**\n - **Initial setup/deal:** Fully handled inside `Deck` and `GameState` constructor, dealing 52 unique cards deterministically.\n - **Move/action validation:** Fully covered for tableau, free cell, and foundation moves, including proper transit and capacity calculations based on empty free cells/tableaus.\n - **Auto-complete helper actions:** Standard auto-homing behavior is implemented, moving eligible cards to foundations automatically and cleanly nesting them in `MoveRecord` so they are fully undoable/redoable.\n - **Win/loss condition:** Implemented and tested both `check_win()` and `check_loss()`. `check_loss()` correctly detects when the game has no legal moves remaining and is not yet won.\n - **Undo/Redo:** Reverts and reapplies both the primary action and any nested auto-homing steps.\n3. **Tests:** Added comprehensive test cases to `tests/test_domain.py` to cover `check_loss` under various conditions (not lost, won, and fully locked/lost).\n4. **Validation:** Ran all tests with `pytest` successfully, and confirmed that the `--smoke` test successfully initializes and validates the game.\n5. **Status File:** Wrote `status.json` with `\"outcome\": \"succeeded\"`." + }, + "notes": "Stage completed: impl_logic", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 177020, + "output_tokens": 3075, + "reasoning_tokens": 5079, + "cache_read_tokens": 382131, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 396235 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py", + "/home/daytona/workspace/fabro/card-game-app/tests/test_domain.py", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 75101, + "tool_time_ms": 19151, + "active_time_ms": 94252 + } + }, + "impl_setup": { + "status": "succeeded", + "context_updates": { + "last_stage": "impl_setup", + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "last_response": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n -" + }, + "notes": "Stage completed: impl_setup", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 144122, + "output_tokens": 3364, + "reasoning_tokens": 3387, + "cache_read_tokens": 129733, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 296401 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/card-game-app/README.md", + "/home/daytona/workspace/fabro/card-game-app/main.py", + "/home/daytona/workspace/fabro/card-game-app/pyproject.toml", + "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/__init__.py", + "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py", + "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/tui.py", + "/home/daytona/workspace/fabro/card-game-app/tests/__init__.py", + "/home/daytona/workspace/fabro/card-game-app/tests/test_domain.py", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 54533, + "tool_time_ms": 18730, + "active_time_ms": 73263 + } + } + }, + "next_node_id": "verify_logic", + "git_commit_sha": "91953ef64d02a4bbffcbf449cae815ed66de93e5", + "node_visits": { + "check_setup": 1, + "verify_setup": 1, + "check_data": 1, + "impl_logic": 1, + "verify_data": 1, + "start": 1, + "impl_data": 1, + "expand_spec": 1, + "impl_setup": 1 + } + }, + "diff": { + "patch": "diff --git a/card-game-app/src/card_game_tui/domain.py b/card-game-app/src/card_game_tui/domain.py\nindex fe733cef3..f1dd717f2 100644\n--- a/card-game-app/src/card_game_tui/domain.py\n+++ b/card-game-app/src/card_game_tui/domain.py\n@@ -376,3 +376,51 @@ class GameState:\n def check_win(self) -> bool:\n \"\"\"Returns True if all 52 cards are in the Foundations.\"\"\"\n return all(len(self.foundations[suit]) == 13 for suit in Suit)\n+\n+ def check_loss(self) -> bool:\n+ \"\"\"\n+ Returns True if the game is lost (i.e. not won and no legal moves can be made).\n+ \"\"\"\n+ if self.check_win():\n+ return False\n+\n+ # Check all possible moves from freecells\n+ for i in range(4):\n+ if self.freecells[i] is not None:\n+ from_pos = Position(LocationType.FREECELL, i)\n+ # To tableau\n+ for j in range(8):\n+ if self.validate_move(from_pos, Position(LocationType.TABLEAU, j), 1):\n+ return False\n+ # To other freecells\n+ for j in range(4):\n+ if i != j and self.validate_move(from_pos, Position(LocationType.FREECELL, j), 1):\n+ return False\n+ # To foundations\n+ for j in range(4):\n+ if self.validate_move(from_pos, Position(LocationType.FOUNDATION, j), 1):\n+ return False\n+\n+ # Check all possible moves from tableaus\n+ for i in range(8):\n+ col_len = len(self.tableaus[i])\n+ if col_len > 0:\n+ from_pos = Position(LocationType.TABLEAU, i)\n+ # Check different move counts\n+ for count in range(1, col_len + 1):\n+ # To other tableaus\n+ for j in range(8):\n+ if i != j and self.validate_move(from_pos, Position(LocationType.TABLEAU, j), count):\n+ return False\n+ # To freecells\n+ if count == 1:\n+ for j in range(4):\n+ if self.validate_move(from_pos, Position(LocationType.FREECELL, j), 1):\n+ return False\n+ # To foundations\n+ if count == 1:\n+ for j in range(4):\n+ if self.validate_move(from_pos, Position(LocationType.FOUNDATION, j), 1):\n+ return False\n+\n+ return True\ndiff --git a/card-game-app/tests/test_domain.py b/card-game-app/tests/test_domain.py\nindex 0fa4360ed..c507ddc8a 100644\n--- a/card-game-app/tests/test_domain.py\n+++ b/card-game-app/tests/test_domain.py\n@@ -347,3 +347,41 @@ def test_win_detection():\n # Remove one card\n state.foundations[Suit.HEARTS].pop()\n assert state.check_win() is False\n+\n+def test_check_loss_not_lost():\n+ # A standard freshly-dealt game should not be in a loss state (usually has legal moves)\n+ state = GameState()\n+ assert state.check_loss() is False\n+\n+def test_check_loss_won():\n+ # A won game is not lost\n+ state = GameState()\n+ for suit in Suit:\n+ state.foundations[suit] = [Card(suit, rank) for rank in Rank]\n+ assert state.check_loss() is False\n+\n+def test_check_loss_is_lost():\n+ state = GameState()\n+ # Clear tableaus and freecells, and foundations\n+ state.freecells = [None] * 4\n+ state.tableaus = [[] for _ in range(8)]\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ # Lock everything:\n+ # Fill all 4 freecells with Kings of Diamonds\n+ state.freecells = [Card(Suit.DIAMONDS, Rank.KING)] * 4\n+\n+ # Fill all 8 tableaus with at least one King of Diamonds\n+ for i in range(8):\n+ state.tableaus[i] = [Card(Suit.DIAMONDS, Rank.KING)]\n+\n+ # Now there are:\n+ # - No empty tableaus\n+ # - No empty freecells\n+ # - No Aces on top of tableaus or in freecells (all are Kings of Diamonds)\n+ # So:\n+ # - Cannot move to freecells (all occupied)\n+ # - Cannot move to foundations (only Kings, no Aces)\n+ # - Cannot move to tableaus (all top cards are King of Diamonds, can't build King on King, and no empty columns)\n+ # This state should be a lost/locked state!\n+ assert state.check_loss() is True\n", + "summary": { + "files_changed": 12, + "additions": 1383, + "deletions": 0 + } + } + }, + { + "seq": 541, + "checkpoint": { + "timestamp": "2026-06-04T18:55:18.397256Z", + "current_node": "verify_logic", + "completed_nodes": [ + "start", + "expand_spec", + "impl_setup", + "verify_setup", + "check_setup", + "impl_data", + "verify_data", + "check_data", + "impl_logic", + "verify_logic" + ], + "node_retries": {}, + "context_values": { + "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", + "internal.retry_count.check_setup": 0, + "thread.check_setup.current_node": "impl_data", + "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", + "failure_class": "", + "thread.start.current_node": "expand_spec", + "thread.verify_setup.current_node": "check_setup", + "failure_signature": "", + "last_response": "I have verified the FreeCell card game logic and documented the findings.\n\n### Summary of Actions Taken:\n1. **Analyzed Code & Rules Implementation**:\n - Inspected `src/card_game_tui/domain.py` to co", + "internal.retry_count.impl_data": 0, + "internal.retry_count.impl_setup": 0, + "internal.retry_count.verify_setup": 0, + "graph.fallback_retry_target": "impl_logic", + "internal.retry_count.check_data": 0, + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", + "internal.retry_count.verify_logic": 0, + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "internal.work_dir": "/home/daytona/workspace/fabro", + "internal.thread_id": "verify", + "internal.retry_count.verify_data": 0, + "outcome": "succeeded", + "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`.", + "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", + "graph.rankdir": "LR", + "internal.retry_count.impl_logic": 0, + "thread.expand_spec.current_node": "impl_setup", + "graph.retry_target": "impl_setup", + "thread.verify_data.current_node": "check_data", + "internal.retry_count.start": 0, + "thread.hard.current_node": "impl_logic", + "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", + "internal.node_visit_count": 1, + "internal.fidelity": "compact", + "last_stage": "verify_logic", + "response.verify_logic": "I have verified the FreeCell card game logic and documented the findings.\n\n### Summary of Actions Taken:\n1. **Analyzed Code & Rules Implementation**:\n - Inspected `src/card_game_tui/domain.py` to confirm proper validation of moves, descending alternating builds, foundation sequencing, and accurate multi-card capacity constraint calculation.\n - Evaluated the recursive cascade auto-homing logic and confirmed it adheres to standard, safe auto-homing rules (only homing cards when no needed lower cards of opposite color are buried).\n - Confirmed the dual implementation of `check_win()` and `check_loss()` works perfectly to detect when the game is won or if it is fully locked.\n - Verified the undo/redo system and its correct handling of nested auto-homing steps rolled back in reverse order.\n2. **Executed Verification Tests**:\n - Ran `cd card-game-app && python3 -m pytest tests/ -v` and confirmed all 16 tests passed.\n - Ran a compilation check: `python3 -m py_compile main.py src/card_game_tui/*.py` to verify error-free imports and compilation.\n - Ran the main game smoke test: `python3 main.py --smoke` to confirm execution of initial moves and win check.\n3. **Wrote Documentation and Status**:\n - Created the report in `.ai/verify_logic.md`.\n - Updated `status.json` with `\"outcome\": \"succeeded\"`.", + "graph.default_max_retries": "3", + "internal.retry_count.expand_spec": 0, + "response.impl_logic": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState`).\n2. **Implemented/Enhanced Game Rules:**\n - **Initial setup/deal:** Fully handled inside `Deck` and `GameState` constructor, dealing 52 unique cards deterministically.\n - **Move/action validation:** Fully covered for tableau, free cell, and foundation moves, including proper transit and capacity calculations based on empty free cells/tableaus.\n - **Auto-complete helper actions:** Standard auto-homing behavior is implemented, moving eligible cards to foundations automatically and cleanly nesting them in `MoveRecord` so they are fully undoable/redoable.\n - **Win/loss condition:** Implemented and tested both `check_win()` and `check_loss()`. `check_loss()` correctly detects when the game has no legal moves remaining and is not yet won.\n - **Undo/Redo:** Reverts and reapplies both the primary action and any nested auto-homing steps.\n3. **Tests:** Added comprehensive test cases to `tests/test_domain.py` to cover `check_loss` under various conditions (not lost, won, and fully locked/lost).\n4. **Validation:** Ran all tests with `pytest` successfully, and confirmed that the `--smoke` test successfully initializes and validates the game.\n5. **Status File:** Wrote `status.json` with `\"outcome\": \"succeeded\"`.", + "current_node": "verify_logic", + "thread.verify.current_node": "verify_logic" + }, + "node_outcomes": { "start": { "status": "succeeded", "usage": null }, + "impl_setup": { + "status": "succeeded", + "context_updates": { + "last_stage": "impl_setup", + "last_response": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n -", + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly." + }, + "notes": "Stage completed: impl_setup", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 144122, + "output_tokens": 3364, + "reasoning_tokens": 3387, + "cache_read_tokens": 129733, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 296401 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/card-game-app/README.md", + "/home/daytona/workspace/fabro/card-game-app/main.py", + "/home/daytona/workspace/fabro/card-game-app/pyproject.toml", + "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/__init__.py", + "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py", + "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/tui.py", + "/home/daytona/workspace/fabro/card-game-app/tests/__init__.py", + "/home/daytona/workspace/fabro/card-game-app/tests/test_domain.py", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 54533, + "tool_time_ms": 18730, + "active_time_ms": 73263 + } + }, + "expand_spec": { + "status": "succeeded", + "context_updates": { + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", + "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc", + "last_stage": "expand_spec" + }, + "notes": "Stage completed: expand_spec", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 85925, + "output_tokens": 4840, + "reasoning_tokens": 3421, + "cache_read_tokens": 20271, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 206276 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/card-game-spec.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 111896, + "tool_time_ms": 4207, + "active_time_ms": 116103 + } + }, + "check_data": { + "status": "succeeded", + "notes": "Conditional node evaluated: check_data", + "usage": null + }, "impl_data": { "status": "succeeded", "context_updates": { @@ -2398,17 +2841,12 @@ "active_time_ms": 214135 } }, - "check_data": { - "status": "succeeded", - "notes": "Conditional node evaluated: check_data", - "usage": null - }, "impl_logic": { "status": "succeeded", "context_updates": { - "last_stage": "impl_logic", "last_response": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRec", - "response.impl_logic": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState`).\n2. **Implemented/Enhanced Game Rules:**\n - **Initial setup/deal:** Fully handled inside `Deck` and `GameState` constructor, dealing 52 unique cards deterministically.\n - **Move/action validation:** Fully covered for tableau, free cell, and foundation moves, including proper transit and capacity calculations based on empty free cells/tableaus.\n - **Auto-complete helper actions:** Standard auto-homing behavior is implemented, moving eligible cards to foundations automatically and cleanly nesting them in `MoveRecord` so they are fully undoable/redoable.\n - **Win/loss condition:** Implemented and tested both `check_win()` and `check_loss()`. `check_loss()` correctly detects when the game has no legal moves remaining and is not yet won.\n - **Undo/Redo:** Reverts and reapplies both the primary action and any nested auto-homing steps.\n3. **Tests:** Added comprehensive test cases to `tests/test_domain.py` to cover `check_loss` under various conditions (not lost, won, and fully locked/lost).\n4. **Validation:** Ran all tests with `pytest` successfully, and confirmed that the `--smoke` test successfully initializes and validates the game.\n5. **Status File:** Wrote `status.json` with `\"outcome\": \"succeeded\"`." + "response.impl_logic": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState`).\n2. **Implemented/Enhanced Game Rules:**\n - **Initial setup/deal:** Fully handled inside `Deck` and `GameState` constructor, dealing 52 unique cards deterministically.\n - **Move/action validation:** Fully covered for tableau, free cell, and foundation moves, including proper transit and capacity calculations based on empty free cells/tableaus.\n - **Auto-complete helper actions:** Standard auto-homing behavior is implemented, moving eligible cards to foundations automatically and cleanly nesting them in `MoveRecord` so they are fully undoable/redoable.\n - **Win/loss condition:** Implemented and tested both `check_win()` and `check_loss()`. `check_loss()` correctly detects when the game has no legal moves remaining and is not yet won.\n - **Undo/Redo:** Reverts and reapplies both the primary action and any nested auto-homing steps.\n3. **Tests:** Added comprehensive test cases to `tests/test_domain.py` to cover `check_loss` under various conditions (not lost, won, and fully locked/lost).\n4. **Validation:** Ran all tests with `pytest` successfully, and confirmed that the `--smoke` test successfully initializes and validates the game.\n5. **Status File:** Wrote `status.json` with `\"outcome\": \"succeeded\"`.", + "last_stage": "impl_logic" }, "notes": "Stage completed: impl_logic", "usage": { @@ -2445,14 +2883,14 @@ "active_time_ms": 94252 } }, - "impl_setup": { + "verify_data": { "status": "succeeded", "context_updates": { - "last_response": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n -", - "last_stage": "impl_setup", - "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly." + "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", + "last_stage": "verify_data", + "last_response": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python fi" }, - "notes": "Stage completed: impl_setup", + "notes": "Stage completed: verify_data", "usage": { "input": { "usage": { @@ -2461,10 +2899,10 @@ "model_id": "gemini-3.5-flash" }, "tokens": { - "input_tokens": 144122, - "output_tokens": 3364, - "reasoning_tokens": 3387, - "cache_read_tokens": 129733, + "input_tokens": 140156, + "output_tokens": 1930, + "reasoning_tokens": 1275, + "cache_read_tokens": 64902, "cache_write_tokens": 0 } }, @@ -2473,32 +2911,30 @@ "storage_segments": [] } }, - "total_usd_micros": 296401 + "total_usd_micros": 248814 }, "files_touched": [ - "/home/daytona/workspace/fabro/card-game-app/README.md", - "/home/daytona/workspace/fabro/card-game-app/main.py", - "/home/daytona/workspace/fabro/card-game-app/pyproject.toml", - "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/__init__.py", - "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py", - "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/tui.py", - "/home/daytona/workspace/fabro/card-game-app/tests/__init__.py", - "/home/daytona/workspace/fabro/card-game-app/tests/test_domain.py", + "/home/daytona/workspace/fabro/.ai/verify_data.md", "/home/daytona/workspace/fabro/status.json" ], "timing": { "wall_time_ms": 0, - "inference_time_ms": 54533, - "tool_time_ms": 18730, - "active_time_ms": 73263 + "inference_time_ms": 42429, + "tool_time_ms": 1927, + "active_time_ms": 44356 } }, + "check_setup": { + "status": "succeeded", + "notes": "Conditional node evaluated: check_setup", + "usage": null + }, "verify_setup": { "status": "succeeded", "context_updates": { "last_stage": "verify_setup", - "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", - "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca" + "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca", + "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root." }, "notes": "Stage completed: verify_setup", "usage": { @@ -2534,367 +2970,6 @@ "active_time_ms": 53501 } }, - "verify_data": { - "status": "succeeded", - "context_updates": { - "last_stage": "verify_data", - "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", - "last_response": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python fi" - }, - "notes": "Stage completed: verify_data", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 140156, - "output_tokens": 1930, - "reasoning_tokens": 1275, - "cache_read_tokens": 64902, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 248814 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/.ai/verify_data.md", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 42429, - "tool_time_ms": 1927, - "active_time_ms": 44356 - } - }, - "expand_spec": { - "status": "succeeded", - "context_updates": { - "last_stage": "expand_spec", - "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", - "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc" - }, - "notes": "Stage completed: expand_spec", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 85925, - "output_tokens": 4840, - "reasoning_tokens": 3421, - "cache_read_tokens": 20271, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 206276 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/.ai/card-game-spec.md", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 111896, - "tool_time_ms": 4207, - "active_time_ms": 116103 - } - } - }, - "next_node_id": "verify_logic", - "git_commit_sha": "91953ef64d02a4bbffcbf449cae815ed66de93e5", - "node_visits": { - "verify_data": 1, - "check_data": 1, - "check_setup": 1, - "impl_data": 1, - "impl_setup": 1, - "verify_setup": 1, - "start": 1, - "expand_spec": 1, - "impl_logic": 1 - } - }, - "diff": { - "patch": "diff --git a/card-game-app/src/card_game_tui/domain.py b/card-game-app/src/card_game_tui/domain.py\nindex fe733cef3..f1dd717f2 100644\n--- a/card-game-app/src/card_game_tui/domain.py\n+++ b/card-game-app/src/card_game_tui/domain.py\n@@ -376,3 +376,51 @@ class GameState:\n def check_win(self) -> bool:\n \"\"\"Returns True if all 52 cards are in the Foundations.\"\"\"\n return all(len(self.foundations[suit]) == 13 for suit in Suit)\n+\n+ def check_loss(self) -> bool:\n+ \"\"\"\n+ Returns True if the game is lost (i.e. not won and no legal moves can be made).\n+ \"\"\"\n+ if self.check_win():\n+ return False\n+\n+ # Check all possible moves from freecells\n+ for i in range(4):\n+ if self.freecells[i] is not None:\n+ from_pos = Position(LocationType.FREECELL, i)\n+ # To tableau\n+ for j in range(8):\n+ if self.validate_move(from_pos, Position(LocationType.TABLEAU, j), 1):\n+ return False\n+ # To other freecells\n+ for j in range(4):\n+ if i != j and self.validate_move(from_pos, Position(LocationType.FREECELL, j), 1):\n+ return False\n+ # To foundations\n+ for j in range(4):\n+ if self.validate_move(from_pos, Position(LocationType.FOUNDATION, j), 1):\n+ return False\n+\n+ # Check all possible moves from tableaus\n+ for i in range(8):\n+ col_len = len(self.tableaus[i])\n+ if col_len > 0:\n+ from_pos = Position(LocationType.TABLEAU, i)\n+ # Check different move counts\n+ for count in range(1, col_len + 1):\n+ # To other tableaus\n+ for j in range(8):\n+ if i != j and self.validate_move(from_pos, Position(LocationType.TABLEAU, j), count):\n+ return False\n+ # To freecells\n+ if count == 1:\n+ for j in range(4):\n+ if self.validate_move(from_pos, Position(LocationType.FREECELL, j), 1):\n+ return False\n+ # To foundations\n+ if count == 1:\n+ for j in range(4):\n+ if self.validate_move(from_pos, Position(LocationType.FOUNDATION, j), 1):\n+ return False\n+\n+ return True\ndiff --git a/card-game-app/tests/test_domain.py b/card-game-app/tests/test_domain.py\nindex 0fa4360ed..c507ddc8a 100644\n--- a/card-game-app/tests/test_domain.py\n+++ b/card-game-app/tests/test_domain.py\n@@ -347,3 +347,41 @@ def test_win_detection():\n # Remove one card\n state.foundations[Suit.HEARTS].pop()\n assert state.check_win() is False\n+\n+def test_check_loss_not_lost():\n+ # A standard freshly-dealt game should not be in a loss state (usually has legal moves)\n+ state = GameState()\n+ assert state.check_loss() is False\n+\n+def test_check_loss_won():\n+ # A won game is not lost\n+ state = GameState()\n+ for suit in Suit:\n+ state.foundations[suit] = [Card(suit, rank) for rank in Rank]\n+ assert state.check_loss() is False\n+\n+def test_check_loss_is_lost():\n+ state = GameState()\n+ # Clear tableaus and freecells, and foundations\n+ state.freecells = [None] * 4\n+ state.tableaus = [[] for _ in range(8)]\n+ state.foundations = {suit: [] for suit in Suit}\n+\n+ # Lock everything:\n+ # Fill all 4 freecells with Kings of Diamonds\n+ state.freecells = [Card(Suit.DIAMONDS, Rank.KING)] * 4\n+\n+ # Fill all 8 tableaus with at least one King of Diamonds\n+ for i in range(8):\n+ state.tableaus[i] = [Card(Suit.DIAMONDS, Rank.KING)]\n+\n+ # Now there are:\n+ # - No empty tableaus\n+ # - No empty freecells\n+ # - No Aces on top of tableaus or in freecells (all are Kings of Diamonds)\n+ # So:\n+ # - Cannot move to freecells (all occupied)\n+ # - Cannot move to foundations (only Kings, no Aces)\n+ # - Cannot move to tableaus (all top cards are King of Diamonds, can't build King on King, and no empty columns)\n+ # This state should be a lost/locked state!\n+ assert state.check_loss() is True\n", - "summary": { - "files_changed": 12, - "additions": 1383, - "deletions": 0 - } - } - }, - { - "seq": 0, - "checkpoint": { - "timestamp": "2026-06-04T18:55:18.398614Z", - "current_node": "check_logic", - "completed_nodes": [ - "start", - "expand_spec", - "impl_setup", - "verify_setup", - "check_setup", - "impl_data", - "verify_data", - "check_data", - "impl_logic", - "verify_logic", - "check_logic" - ], - "node_retries": {}, - "context_values": { - "thread.expand_spec.current_node": "impl_setup", - "thread.verify_logic.current_node": "check_logic", - "graph.retry_target": "impl_setup", - "internal.thread_id": "verify_logic", - "internal.retry_count.check_setup": 0, - "internal.retry_count.verify_data": 0, - "graph.default_max_retries": "3", - "current_node": "check_logic", - "internal.fidelity": "compact", - "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", - "last_stage": "verify_logic", - "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, - "thread.hard.current_node": "impl_logic", - "internal.retry_count.impl_logic": 0, - "graph.fallback_retry_target": "impl_logic", - "response.verify_logic": "I have verified the FreeCell card game logic and documented the findings.\n\n### Summary of Actions Taken:\n1. **Analyzed Code & Rules Implementation**:\n - Inspected `src/card_game_tui/domain.py` to confirm proper validation of moves, descending alternating builds, foundation sequencing, and accurate multi-card capacity constraint calculation.\n - Evaluated the recursive cascade auto-homing logic and confirmed it adheres to standard, safe auto-homing rules (only homing cards when no needed lower cards of opposite color are buried).\n - Confirmed the dual implementation of `check_win()` and `check_loss()` works perfectly to detect when the game is won or if it is fully locked.\n - Verified the undo/redo system and its correct handling of nested auto-homing steps rolled back in reverse order.\n2. **Executed Verification Tests**:\n - Ran `cd card-game-app && python3 -m pytest tests/ -v` and confirmed all 16 tests passed.\n - Ran a compilation check: `python3 -m py_compile main.py src/card_game_tui/*.py` to verify error-free imports and compilation.\n - Ran the main game smoke test: `python3 main.py --smoke` to confirm execution of initial moves and win check.\n3. **Wrote Documentation and Status**:\n - Created the report in `.ai/verify_logic.md`.\n - Updated `status.json` with `\"outcome\": \"succeeded\"`.", - "internal.work_dir": "/home/daytona/workspace/fabro", - "internal.retry_count.start": 0, - "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", - "thread.verify.current_node": "verify_logic", - "thread.verify_setup.current_node": "check_setup", - "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", - "internal.retry_count.check_logic": 0, - "failure_class": "", - "last_response": "I have verified the FreeCell card game logic and documented the findings.\n\n### Summary of Actions Taken:\n1. **Analyzed Code & Rules Implementation**:\n - Inspected `src/card_game_tui/domain.py` to co", - "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", - "failure_signature": "", - "graph.rankdir": "LR", - "internal.retry_count.verify_logic": 0, - "internal.node_visit_count": 1, - "thread.start.current_node": "expand_spec", - "internal.retry_count.verify_setup": 0, - "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", - "outcome": "succeeded", - "internal.retry_count.impl_setup": 0, - "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", - "thread.check_setup.current_node": "impl_data", - "response.impl_logic": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState`).\n2. **Implemented/Enhanced Game Rules:**\n - **Initial setup/deal:** Fully handled inside `Deck` and `GameState` constructor, dealing 52 unique cards deterministically.\n - **Move/action validation:** Fully covered for tableau, free cell, and foundation moves, including proper transit and capacity calculations based on empty free cells/tableaus.\n - **Auto-complete helper actions:** Standard auto-homing behavior is implemented, moving eligible cards to foundations automatically and cleanly nesting them in `MoveRecord` so they are fully undoable/redoable.\n - **Win/loss condition:** Implemented and tested both `check_win()` and `check_loss()`. `check_loss()` correctly detects when the game has no legal moves remaining and is not yet won.\n - **Undo/Redo:** Reverts and reapplies both the primary action and any nested auto-homing steps.\n3. **Tests:** Added comprehensive test cases to `tests/test_domain.py` to cover `check_loss` under various conditions (not lost, won, and fully locked/lost).\n4. **Validation:** Ran all tests with `pytest` successfully, and confirmed that the `--smoke` test successfully initializes and validates the game.\n5. **Status File:** Wrote `status.json` with `\"outcome\": \"succeeded\"`." - }, - "node_outcomes": { - "impl_setup": { - "status": "succeeded", - "context_updates": { - "last_response": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n -", - "last_stage": "impl_setup", - "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly." - }, - "notes": "Stage completed: impl_setup", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 144122, - "output_tokens": 3364, - "reasoning_tokens": 3387, - "cache_read_tokens": 129733, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 296401 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/card-game-app/README.md", - "/home/daytona/workspace/fabro/card-game-app/main.py", - "/home/daytona/workspace/fabro/card-game-app/pyproject.toml", - "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/__init__.py", - "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py", - "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/tui.py", - "/home/daytona/workspace/fabro/card-game-app/tests/__init__.py", - "/home/daytona/workspace/fabro/card-game-app/tests/test_domain.py", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 54533, - "tool_time_ms": 18730, - "active_time_ms": 73263 - } - }, - "check_logic": { - "status": "succeeded", - "notes": "Conditional node evaluated: check_logic", - "usage": null - }, - "verify_data": { - "status": "succeeded", - "context_updates": { - "last_stage": "verify_data", - "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", - "last_response": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python fi" - }, - "notes": "Stage completed: verify_data", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 140156, - "output_tokens": 1930, - "reasoning_tokens": 1275, - "cache_read_tokens": 64902, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 248814 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/.ai/verify_data.md", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 42429, - "tool_time_ms": 1927, - "active_time_ms": 44356 - } - }, - "expand_spec": { - "status": "succeeded", - "context_updates": { - "last_stage": "expand_spec", - "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", - "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc" - }, - "notes": "Stage completed: expand_spec", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 85925, - "output_tokens": 4840, - "reasoning_tokens": 3421, - "cache_read_tokens": 20271, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 206276 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/.ai/card-game-spec.md", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 111896, - "tool_time_ms": 4207, - "active_time_ms": 116103 - } - }, - "start": { - "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", - "usage": null - }, - "impl_logic": { - "status": "succeeded", - "context_updates": { - "last_stage": "impl_logic", - "last_response": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRec", - "response.impl_logic": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState`).\n2. **Implemented/Enhanced Game Rules:**\n - **Initial setup/deal:** Fully handled inside `Deck` and `GameState` constructor, dealing 52 unique cards deterministically.\n - **Move/action validation:** Fully covered for tableau, free cell, and foundation moves, including proper transit and capacity calculations based on empty free cells/tableaus.\n - **Auto-complete helper actions:** Standard auto-homing behavior is implemented, moving eligible cards to foundations automatically and cleanly nesting them in `MoveRecord` so they are fully undoable/redoable.\n - **Win/loss condition:** Implemented and tested both `check_win()` and `check_loss()`. `check_loss()` correctly detects when the game has no legal moves remaining and is not yet won.\n - **Undo/Redo:** Reverts and reapplies both the primary action and any nested auto-homing steps.\n3. **Tests:** Added comprehensive test cases to `tests/test_domain.py` to cover `check_loss` under various conditions (not lost, won, and fully locked/lost).\n4. **Validation:** Ran all tests with `pytest` successfully, and confirmed that the `--smoke` test successfully initializes and validates the game.\n5. **Status File:** Wrote `status.json` with `\"outcome\": \"succeeded\"`." - }, - "notes": "Stage completed: impl_logic", - "usage": { - "input": { - "usage": { - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "tokens": { - "input_tokens": 177020, - "output_tokens": 3075, - "reasoning_tokens": 5079, - "cache_read_tokens": 382131, - "cache_write_tokens": 0 - } - }, - "facts": { - "algorithm": "gemini", - "storage_segments": [] - } - }, - "total_usd_micros": 396235 - }, - "files_touched": [ - "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py", - "/home/daytona/workspace/fabro/card-game-app/tests/test_domain.py", - "/home/daytona/workspace/fabro/status.json" - ], - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 75101, - "tool_time_ms": 19151, - "active_time_ms": 94252 - } - }, "verify_logic": { "status": "succeeded", "context_updates": { @@ -2935,15 +3010,104 @@ "tool_time_ms": 12373, "active_time_ms": 98665 } - }, - "verify_setup": { + } + }, + "next_node_id": "check_logic", + "git_commit_sha": "00d24b213797c76760baa21942f4cba5028f4765", + "node_visits": { + "check_data": 1, + "verify_logic": 1, + "impl_logic": 1, + "impl_setup": 1, + "verify_setup": 1, + "verify_data": 1, + "impl_data": 1, + "check_setup": 1, + "expand_spec": 1, + "start": 1 + } + }, + "diff": { + "patch": "diff --git a/.ai/verify_logic.md b/.ai/verify_logic.md\nnew file mode 100644\nindex 000000000..8ff2d891a\n--- /dev/null\n+++ b/.ai/verify_logic.md\n@@ -0,0 +1,81 @@\n+# Game Logic Verification Findings\n+\n+## 1. Overview and Command Execution\n+We have successfully run and verified the entire FreeCell Solitaire card game logic, move validation engine, win/loss detection, and undo/redo systems.\n+\n+The test suite was executed via the following command:\n+```bash\n+cd card-game-app && python3 -m pytest tests/ -v\n+```\n+\n+**Results:**\n+- **Pytest:** 16/16 tests passed successfully (100% pass rate).\n+- **Compilation Check:** Checked with `python3 -m py_compile main.py src/card_game_tui/*.py` – compiled with zero errors or warnings.\n+- **Smoke Test Check:** Checked with `python3 main.py --smoke` – completed successfully.\n+\n+---\n+\n+## 2. Core Game Logic Areas Verified\n+\n+### A. Move & Action Validation\n+The move validation engine in `GameState.validate_move` has been verified for all game scenarios:\n+- **Index boundaries:** Prevents invalid indices (e.g., tableaus outside 0-7, freecells/foundations outside 0-3).\n+- **Invalid sources:** Moving from a foundation is forbidden.\n+- **Single-card move constraints:**\n+ - **Free Cells:** Permits placement only if empty; prevents moves when already occupied.\n+ - **Foundations:** Enforces starting with an **Ace** and building up sequentially in ascending rank order (`Ace -> 2 -> ... -> King`) of the identical suit.\n+ - **Tableaus:** Validates build-down rules. A card can only be placed on a tableau column top card if it has the **opposite color** and is **one rank lower** (e.g., Red 8 onto Black 9).\n+- **Sequence/Multi-card moves:** \n+ - Validates sequence integrity of moving cards (alternating color, descending ranks).\n+ - Enforces the capacity constraint formula to calculate the maximum size of a legal sequence move:\n+ $$\\text{Max Cards} = (1 + \\text{empty\\_freecells}) \\times 2^{\\text{transit\\_empty\\_tableaus}}$$\n+ - Correctly adjusts `transit_empty_tableaus` when moving to an empty column (which cannot act as an intermediate transit space, i.e., `transit_empty_tableaus = max(0, empty_tableaus - 1)`).\n+\n+### B. Cascade Auto-Homing\n+- Automatically scans free cells and tableau column tops after each move to move eligible cards to their respective foundations.\n+- Implements **safe auto-homing**: A card of rank $R$ is only auto-homed if its rank does not exceed $N+1$, where $N$ is the length of the foundation pile of both **opposite color** suits. This prevents the user from accidentally locking/burying cards that are still needed for tableau building.\n+- Runs recursively until no more eligible cards can be safely auto-homed.\n+\n+### C. Win & Loss Detection\n+- **Win Detection (`check_win`):** Checks if all 52 cards are successfully stored in their foundations (13 cards in each of the 4 suit piles).\n+- **Loss Detection (`check_loss`):** Checks if there are absolutely no legal moves remaining. Evaluates:\n+ - Moving from any occupied freecell to any tableau column, empty freecell, or foundation pile.\n+ - Moving any valid-sized sequence of cards from any tableau column to any other tableau column, empty freecell, or foundation pile.\n+ - Returns `False` on start of game or if any move is possible, and correctly returns `True` when all moves are fully blocked.\n+\n+### D. Undo & Redo System\n+- Records moves using the `MoveRecord` model.\n+- **Nested Auto-Homing Rollback:** Captures all cascading auto-homing steps as nested records inside the primary player move.\n+- **Undo Operation:** Reverts the main player move and rolls back the cascading auto-homes in the **precise reverse order** of their execution to ensure absolute state consistency.\n+- **Redo Operation:** Correctly reapplies the undone player move followed by the exact nested auto-homing moves in their original forward order.\n+- **Stack Integrity:** Clears the redo stack whenever the player initiates a new manual move, following standard undo-redo history patterns.\n+\n+---\n+\n+## 3. Verified Scenarios and Test Coverage Matrix\n+\n+The following test suites in `tests/test_domain.py` verify these domains:\n+\n+| Test Name | Verifies | Status |\n+| :--- | :--- | :--- |\n+| `test_deck_deals_52_cards` | Deck creation has 52 cards | Pass |\n+| `test_game_state_initialization` | Tableau dealing heights (four of 7, four of 6) | Pass |\n+| `test_get_card_at` | Cards can be inspected accurately across tableaus, freecells, and foundations | Pass |\n+| `test_deck_deterministic_seeding` | Deterministic shuffle given a seed | Pass |\n+| `test_moves_to_free_cells` | Standard single-card moves and boundary conditions on free cells | Pass |\n+| `test_moves_to_foundations` | Ascending rank sequences and suit checks on foundations | Pass |\n+| `test_moves_to_tableau_single_card` | Alternating color and descending rank builds on tableau | Pass |\n+| `test_sequence_moves_tableau_to_tableau` | Moving sequences and standard capacity calculation checks | Pass |\n+| `test_sequence_moves_to_empty_tableau` | Capacity calculation adjustement when moving to an empty tableau column | Pass |\n+| `test_auto_homing_logic` | Cascade moves & safe auto-homing constraints relative to opposite suits | Pass |\n+| `test_undo_redo_system` | Basic rollback and forward operations on manual moves | Pass |\n+| `test_undo_with_auto_homing` | Rolling back complex cascade sequences in precise reverse order | Pass |\n+| `test_win_detection` | Accurate identification when all 52 cards are homed | Pass |\n+| `test_check_loss_not_lost` | Returns false when game is solvable/moves exist | Pass |\n+| `test_check_loss_won` | Returns false on won states | Pass |\n+| `test_check_loss_is_lost` | Returns true when game is completely locked with no moves | Pass |\n+\n+---\n+\n+## 4. Conclusion\n+The card game logic for FreeCell solitaire is highly robust, fully self-consistent, thoroughly tested, and perfectly correct. The model is complete and ready to power the text-based TUI.\ndiff --git a/status.json b/status.json\nindex ee6907d7f..905fb370f 100644\n--- a/status.json\n+++ b/status.json\n@@ -1,3 +1,3 @@\n {\n \"outcome\": \"succeeded\"\n-}\n\\ No newline at end of file\n+}\n", + "summary": { + "files_changed": 13, + "additions": 1464, + "deletions": 0 + } + } + }, + { + "seq": 549, + "checkpoint": { + "timestamp": "2026-06-04T18:55:46.050486Z", + "current_node": "check_logic", + "completed_nodes": [ + "start", + "expand_spec", + "impl_setup", + "verify_setup", + "check_setup", + "impl_data", + "verify_data", + "check_data", + "impl_logic", + "verify_logic", + "check_logic" + ], + "node_retries": {}, + "context_values": { + "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY", + "thread.verify_data.current_node": "check_data", + "failure_class": "", + "current_node": "check_logic", + "internal.node_visit_count": 1, + "response.impl_logic": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState`).\n2. **Implemented/Enhanced Game Rules:**\n - **Initial setup/deal:** Fully handled inside `Deck` and `GameState` constructor, dealing 52 unique cards deterministically.\n - **Move/action validation:** Fully covered for tableau, free cell, and foundation moves, including proper transit and capacity calculations based on empty free cells/tableaus.\n - **Auto-complete helper actions:** Standard auto-homing behavior is implemented, moving eligible cards to foundations automatically and cleanly nesting them in `MoveRecord` so they are fully undoable/redoable.\n - **Win/loss condition:** Implemented and tested both `check_win()` and `check_loss()`. `check_loss()` correctly detects when the game has no legal moves remaining and is not yet won.\n - **Undo/Redo:** Reverts and reapplies both the primary action and any nested auto-homing steps.\n3. **Tests:** Added comprehensive test cases to `tests/test_domain.py` to cover `check_loss` under various conditions (not lost, won, and fully locked/lost).\n4. **Validation:** Ran all tests with `pytest` successfully, and confirmed that the `--smoke` test successfully initializes and validates the game.\n5. **Status File:** Wrote `status.json` with `\"outcome\": \"succeeded\"`.", + "internal.work_dir": "/home/daytona/workspace/fabro", + "graph.retry_target": "impl_setup", + "internal.retry_count.verify_data": 0, + "thread.expand_spec.current_node": "impl_setup", + "internal.retry_count.verify_logic": 0, + "internal.retry_count.start": 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.check_setup.current_node": "impl_data", + "thread.verify.current_node": "verify_logic", + "graph.default_max_retries": "3", + "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`.", + "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", + "last_stage": "verify_logic", + "internal.retry_count.check_logic": 0, + "internal.fidelity": "compact", + "thread.start.current_node": "expand_spec", + "internal.retry_count.verify_setup": 0, + "internal.retry_count.impl_data": 0, + "internal.retry_count.check_setup": 0, + "internal.retry_count.expand_spec": 0, + "graph.rankdir": "LR", + "internal.retry_count.impl_logic": 0, + "internal.thread_id": "verify_logic", + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", + "failure_signature": "", + "thread.verify_logic.current_node": "check_logic", + "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", + "internal.retry_count.impl_setup": 0, + "graph.fallback_retry_target": "impl_logic", + "thread.verify_setup.current_node": "check_setup", + "outcome": "succeeded", + "thread.hard.current_node": "impl_logic", + "response.verify_logic": "I have verified the FreeCell card game logic and documented the findings.\n\n### Summary of Actions Taken:\n1. **Analyzed Code & Rules Implementation**:\n - Inspected `src/card_game_tui/domain.py` to confirm proper validation of moves, descending alternating builds, foundation sequencing, and accurate multi-card capacity constraint calculation.\n - Evaluated the recursive cascade auto-homing logic and confirmed it adheres to standard, safe auto-homing rules (only homing cards when no needed lower cards of opposite color are buried).\n - Confirmed the dual implementation of `check_win()` and `check_loss()` works perfectly to detect when the game is won or if it is fully locked.\n - Verified the undo/redo system and its correct handling of nested auto-homing steps rolled back in reverse order.\n2. **Executed Verification Tests**:\n - Ran `cd card-game-app && python3 -m pytest tests/ -v` and confirmed all 16 tests passed.\n - Ran a compilation check: `python3 -m py_compile main.py src/card_game_tui/*.py` to verify error-free imports and compilation.\n - Ran the main game smoke test: `python3 main.py --smoke` to confirm execution of initial moves and win check.\n3. **Wrote Documentation and Status**:\n - Created the report in `.ai/verify_logic.md`.\n - Updated `status.json` with `\"outcome\": \"succeeded\"`.", + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "last_response": "I have verified the FreeCell card game logic and documented the findings.\n\n### Summary of Actions Taken:\n1. **Analyzed Code & Rules Implementation**:\n - Inspected `src/card_game_tui/domain.py` to co", + "internal.retry_count.check_data": 0 + }, + "node_outcomes": { + "expand_spec": { "status": "succeeded", "context_updates": { - "last_stage": "verify_setup", - "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", - "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca" + "response.expand_spec": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Document**: `.ai/card-game-spec.md`\n- **Execution Status**: `status.json` with `\"outcome\": \"succeeded\"`\n\n### Key Specification Highlights:\n1. **Core Domain Model & Game Logic**: Complete decoupling from the curses framework. Classes like `Card`, `Suit`, `Rank`, `Deck`, `Position`, and `GameState` manage state transitions, move constraints, and game rules natively and cleanly, making them fully testable in headless CI environments.\n2. **Move Validation & Rule Logic**: Enforces all FreeCell moves, empty pile behavior, card stacking (alternating colors and descending ranks), and includes the mathematical sequence-movement rule constraint formula: \n $$\\text{Max Cards} = (1 + \\text{Empty Free Cells}) \\times 2^{\\text{Empty Tableau Columns}}$$\n3. **Auto-Homing Mechanics**: An optional, safe automated helper that automatically moves cards to the foundations once they can no longer act as sequence-building stepping stones.\n4. **Interactive Curses UI/TUI**: A detailed layout conforming to $80 \\times 24$ terminal dimensions using memory-efficient double-buffered updates via curses, rich color pair rendering for Red vs Black suits, and a versatile keyboard cursor-based layout navigation system.\n5. **Non-Interactive Smoke Mode**: Specifies the exact behavior of `python3 main.py --smoke` for fast automated integration checks without launching interactive screens.\n6. **Robust Testing Strategy**: Details unit tests covering edge cases for game rules, deterministic seed validation, and UI input mocking scenarios.", + "last_response": "I have successfully written a comprehensive, detailed implementation specification for building a terminal-based FreeCell Solitaire game in Python.\n\nThe spec has been written to:\n- **Specification Doc", + "last_stage": "expand_spec" }, - "notes": "Stage completed: verify_setup", + "notes": "Stage completed: expand_spec", "usage": { "input": { "usage": { @@ -2952,10 +3116,10 @@ "model_id": "gemini-3.5-flash" }, "tokens": { - "input_tokens": 185923, - "output_tokens": 1136, - "reasoning_tokens": 1068, - "cache_read_tokens": 4044, + "input_tokens": 85925, + "output_tokens": 4840, + "reasoning_tokens": 3421, + "cache_read_tokens": 20271, "cache_write_tokens": 0 } }, @@ -2964,25 +3128,206 @@ "storage_segments": [] } }, - "total_usd_micros": 299326 + "total_usd_micros": 206276 }, "files_touched": [ - "/home/daytona/workspace/fabro/.ai/verify_setup.md", + "/home/daytona/workspace/fabro/.ai/card-game-spec.md", "/home/daytona/workspace/fabro/status.json" ], "timing": { "wall_time_ms": 0, - "inference_time_ms": 33160, - "tool_time_ms": 20341, - "active_time_ms": 53501 + "inference_time_ms": 111896, + "tool_time_ms": 4207, + "active_time_ms": 116103 } }, + "verify_logic": { + "status": "succeeded", + "context_updates": { + "last_stage": "verify_logic", + "last_response": "I have verified the FreeCell card game logic and documented the findings.\n\n### Summary of Actions Taken:\n1. **Analyzed Code & Rules Implementation**:\n - Inspected `src/card_game_tui/domain.py` to co", + "response.verify_logic": "I have verified the FreeCell card game logic and documented the findings.\n\n### Summary of Actions Taken:\n1. **Analyzed Code & Rules Implementation**:\n - Inspected `src/card_game_tui/domain.py` to confirm proper validation of moves, descending alternating builds, foundation sequencing, and accurate multi-card capacity constraint calculation.\n - Evaluated the recursive cascade auto-homing logic and confirmed it adheres to standard, safe auto-homing rules (only homing cards when no needed lower cards of opposite color are buried).\n - Confirmed the dual implementation of `check_win()` and `check_loss()` works perfectly to detect when the game is won or if it is fully locked.\n - Verified the undo/redo system and its correct handling of nested auto-homing steps rolled back in reverse order.\n2. **Executed Verification Tests**:\n - Ran `cd card-game-app && python3 -m pytest tests/ -v` and confirmed all 16 tests passed.\n - Ran a compilation check: `python3 -m py_compile main.py src/card_game_tui/*.py` to verify error-free imports and compilation.\n - Ran the main game smoke test: `python3 main.py --smoke` to confirm execution of initial moves and win check.\n3. **Wrote Documentation and Status**:\n - Created the report in `.ai/verify_logic.md`.\n - Updated `status.json` with `\"outcome\": \"succeeded\"`." + }, + "notes": "Stage completed: verify_logic", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 151048, + "output_tokens": 3002, + "reasoning_tokens": 6993, + "cache_read_tokens": 325468, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 365347 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/verify_logic.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 86292, + "tool_time_ms": 12373, + "active_time_ms": 98665 + } + }, + "check_logic": { + "status": "succeeded", + "notes": "Conditional node evaluated: check_logic", + "usage": null + }, + "impl_logic": { + "status": "succeeded", + "context_updates": { + "response.impl_logic": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState`).\n2. **Implemented/Enhanced Game Rules:**\n - **Initial setup/deal:** Fully handled inside `Deck` and `GameState` constructor, dealing 52 unique cards deterministically.\n - **Move/action validation:** Fully covered for tableau, free cell, and foundation moves, including proper transit and capacity calculations based on empty free cells/tableaus.\n - **Auto-complete helper actions:** Standard auto-homing behavior is implemented, moving eligible cards to foundations automatically and cleanly nesting them in `MoveRecord` so they are fully undoable/redoable.\n - **Win/loss condition:** Implemented and tested both `check_win()` and `check_loss()`. `check_loss()` correctly detects when the game has no legal moves remaining and is not yet won.\n - **Undo/Redo:** Reverts and reapplies both the primary action and any nested auto-homing steps.\n3. **Tests:** Added comprehensive test cases to `tests/test_domain.py` to cover `check_loss` under various conditions (not lost, won, and fully locked/lost).\n4. **Validation:** Ran all tests with `pytest` successfully, and confirmed that the `--smoke` test successfully initializes and validates the game.\n5. **Status File:** Wrote `status.json` with `\"outcome\": \"succeeded\"`.", + "last_stage": "impl_logic", + "last_response": "I have successfully completed the tasks:\n\n1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRec" + }, + "notes": "Stage completed: impl_logic", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 177020, + "output_tokens": 3075, + "reasoning_tokens": 5079, + "cache_read_tokens": 382131, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 396235 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py", + "/home/daytona/workspace/fabro/card-game-app/tests/test_domain.py", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 75101, + "tool_time_ms": 19151, + "active_time_ms": 94252 + } + }, + "impl_setup": { + "status": "succeeded", + "context_updates": { + "last_stage": "impl_setup", + "response.impl_setup": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n - `pyproject.toml` with pytest configured and `pythonpath = [\"src\"]`.\n - `main.py` entrypoint supporting `--smoke` test mode (without curses dependency) and regular mode.\n - `src/card_game_tui/` package containing `__init__.py`, `domain.py` (decoupled core game logic: `Suit`, `Rank`, `Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState` class stubs), and `tui.py` (TUI layer placeholder).\n - `tests/` directory with `__init__.py` and `test_domain.py` containing initial unit tests.\n - `README.md` stub explaining structure and usage.\n2. **Verified Code Compilation**:\n - Executed: `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` which compiled cleanly with exit code 0.\n3. **Smoke Tested the CLI**:\n - Executed: `cd card-game-app && python3 main.py --smoke` which ran successfully, verifying the integrity of the domain model layout and assertions.\n4. **Wrote `status.json`**:\n - Created `status.json` at the workspace root containing `{\"outcome\": \"succeeded\"}` as the project skeleton exists and compiles perfectly.", + "last_response": "I have successfully built the Python project skeleton for the terminal-based FreeCell solitaire game.\n\nHere is a summary of the steps completed:\n1. **Created `card-game-app/` Project Structure**:\n -" + }, + "notes": "Stage completed: impl_setup", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 144122, + "output_tokens": 3364, + "reasoning_tokens": 3387, + "cache_read_tokens": 129733, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 296401 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/card-game-app/README.md", + "/home/daytona/workspace/fabro/card-game-app/main.py", + "/home/daytona/workspace/fabro/card-game-app/pyproject.toml", + "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/__init__.py", + "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py", + "/home/daytona/workspace/fabro/card-game-app/src/card_game_tui/tui.py", + "/home/daytona/workspace/fabro/card-game-app/tests/__init__.py", + "/home/daytona/workspace/fabro/card-game-app/tests/test_domain.py", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 54533, + "tool_time_ms": 18730, + "active_time_ms": 73263 + } + }, + "verify_data": { + "status": "succeeded", + "context_updates": { + "last_stage": "verify_data", + "last_response": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python fi", + "response.verify_data": "I have completed the verification process for the card game data structures in FreeCell Solitaire. \n\n### Summary of Actions Taken:\n1. **Compilation & Tests Executed:** Ran tests and compiled python files successfully.\n - `python3 -m pytest tests/ -v` -> All 13 tests passed.\n - `python3 -m py_compile main.py src/card_game_tui/*.py` -> Compiled cleanly with zero syntax/import warnings.\n2. **Analysis of Core Types:** Inspected the data structures and validated:\n - **Enums:** `Suit`, `Rank`, and `LocationType`.\n - **Entities:** `Card` (frozen/immutable), `Position` (frozen), and `MoveRecord`.\n - **State Manager:** `GameState` containing Tableaus, FreeCells, Foundations, and full validation/execution of standard FreeCell logic.\n3. **Advanced Mechanics Verified:**\n - Alternate-color and descending-rank move validations.\n - Multi-card sequential moves with correct capacity limits based on empty free cells and empty tableaus.\n - Smart, cascading auto-homing that avoids locking cards required for lower ranks of opposing colors.\n - Linear undo/redo stack managing primary moves alongside automatic cascades.\n4. **Output Generation:**\n - Detailed findings recorded in `.ai/verify_data.md`.\n - `status.json` updated with `\"outcome\": \"succeeded\"`." + }, + "notes": "Stage completed: verify_data", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 140156, + "output_tokens": 1930, + "reasoning_tokens": 1275, + "cache_read_tokens": 64902, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 248814 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/verify_data.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 42429, + "tool_time_ms": 1927, + "active_time_ms": 44356 + } + }, + "start": { + "status": "succeeded", + "usage": null + }, "impl_data": { "status": "succeeded", "context_updates": { - "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`.", + "last_response": "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, an", "last_stage": "impl_data", - "last_response": "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, an" + "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`." }, "notes": "Stage completed: impl_data", "usage": { @@ -3018,24 +3363,82 @@ "tool_time_ms": 20404, "active_time_ms": 214135 } + }, + "check_setup": { + "status": "succeeded", + "notes": "Conditional node evaluated: check_setup", + "usage": null + }, + "verify_setup": { + "status": "succeeded", + "context_updates": { + "last_response": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`ca", + "response.verify_setup": "I have successfully verified the setup for the card game app.\n\n### Verified Checklist:\n1. **`card-game-app/pyproject.toml` exists:** Verified.\n2. **`card-game-app/main.py` exists:** Verified.\n3. **`card-game-app/src/card_game_tui` exists:** Verified.\n4. **Python files compile:** Verified by executing `cd card-game-app && python3 -m py_compile main.py src/card_game_tui/*.py` (which completed with exit code `0`).\n\nFindings have been written to `.ai/verify_setup.md` and `status.json` has been updated with `\"outcome\": \"succeeded\"` at the workspace root.", + "last_stage": "verify_setup" + }, + "notes": "Stage completed: verify_setup", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 185923, + "output_tokens": 1136, + "reasoning_tokens": 1068, + "cache_read_tokens": 4044, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 299326 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/verify_setup.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 33160, + "tool_time_ms": 20341, + "active_time_ms": 53501 + } + }, + "check_data": { + "status": "succeeded", + "notes": "Conditional node evaluated: check_data", + "usage": null } }, "next_node_id": "impl_ui", + "git_commit_sha": "c7abba8719c6f332c92d706977120c9fd9585785", "node_visits": { - 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The old_string must be an exact match and unique unless replace_all is true; include surrounding context when needed. Read the file first and preserve existing indentation.", + "source": { + "kind": "native" + }, + "category": "write", + "invoked": false + }, + { + "name": "glob", + "description": "Find files by file names using a glob pattern. Use path to choose the search root. Prefer this over shell find or ls when locating repository files.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "grep", + "description": "Search file contents with a regex pattern. Use path to choose the search root, glob_filter to limit matching files, case_insensitive for case folding, and max_results to cap output.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": false + }, + { + "name": "list_dir", + "description": "List directory contents with depth control", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "read_file", + "description": "Read files before editing them. Returns line-numbered text and supports offset/limit for large files. Use this instead of shell cat, head, tail, or sed when inspecting repository files.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "read_many_files", + "description": "Read multiple files at once", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": false + }, + { + "name": "send_input", + "description": "Send a follow-up message to a running subagent when new information or corrected instructions are needed.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "shell", + "description": "Execute shell commands for terminal operations, package managers, tests and builds. Use dedicated tools for file reads, file edits, filename searches, and content searches. Provide timeout_ms for long-running commands.", + "source": { + "kind": "native" + }, + "category": "shell", + "invoked": true + }, + { + "name": "spawn_agent", + "description": "Spawn a subagent for independent work or context isolation. Use it for tasks that can proceed separately, and avoid duplicating the same work in the parent session.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "wait", + "description": "Wait for a subagent to complete, then use the result to synthesize the outcome for the user.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "web_fetch", + "description": "Fetch content from a URL that starts with http:// or https://. Pass a prompt to extract specific information or summarize the page; omit prompt to return the page content.", + "source": { + "kind": "native" + }, + "category": "other", + "invoked": false + }, + { + "name": "web_search", + "description": "Search the web using Brave Search when current external information is needed. Returns result titles, URLs, and descriptions; use web_fetch for a specific URL.", + "source": { + "kind": "native" + }, + "category": "other", + "invoked": false + }, + { + "name": "write_file", + "description": "Create new files, or overwrite an existing file only when replacement is explicitly intended. Prefer edit_file for targeted changes to existing files because write_file overwrites the full file content.", + "source": { + "kind": "native" + }, + "category": "write", + "invoked": true + } + ], + "context_window": { + "provider": "gemini", + "model": "gemini-3.5-flash", + "context_window_tokens": 1048576, + "input_tokens": 22891, + "usage_percent": 2.183055877685547, + "count_method": "response_usage_scaled_breakdown", + "staleness": "live", + "generated_at": "2026-06-04T18:51:07.327001Z", + "event_seq": 368, + "breakdown": [ + { + "category": "system_prompt", + "tokens": 1679, + "usage_percent": 0.16012191772460938 + }, + { + "category": "tools", + "tokens": 1744, + "usage_percent": 0.16632080078125 + }, + { + "category": "memory", + "tokens": 4722, + "usage_percent": 0.4503250122070313 + }, + { + "category": "conversation", + "tokens": 14740, + "usage_percent": 1.4057159423828125 }, { "category": "other", @@ -3486,226 +4202,15 @@ }, "state": "succeeded" }, - "impl_logic@1": { - "first_event_seq": 386, + "check_logic@1": { + "first_event_seq": 544, "prompt": null, "response": null, "completion": { "outcome": "succeeded", - "notes": "Stage completed: impl_logic", + "notes": "Conditional node evaluated: check_logic", "failure_reason": null, - "timestamp": "2026-06-04T18:53:17.580236Z" - }, - "provider_used": { - "mode": "agent", - "provider": "gemini", - "model": "gemini-3.5-flash" - }, - "diff": null, - "script_invocation": null, - "script_timing": null, - "parallel_results": null, - "output": null, - "started_at": "2026-06-04T18:51:31.768420Z", - "handler": "agent", - "timing": { - "wall_time_ms": 105811, - "inference_time_ms": 75101, - "tool_time_ms": 19151, - "active_time_ms": 94252 - }, - "usage": { - "input_tokens": 177020, - "output_tokens": 3075, - "total_tokens": 567305, - "reasoning_tokens": 5079, - "cache_read_tokens": 382131, - "cache_write_tokens": 0, - "total_usd_micros": 396235 - }, - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "permission_level": "full", - "agent_tools": [ - { - "name": "close_agent", - "description": "Close a running subagent that is no longer needed.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "edit_file", - "description": "Edit a file by replacing an exact string. The old_string must be an exact match and unique unless replace_all is true; include surrounding context when needed. Read the file first and preserve existing indentation.", - "source": { - "kind": "native" - }, - "category": "write", - "invoked": true - }, - { - "name": "glob", - "description": "Find files by file names using a glob pattern. Use path to choose the search root. Prefer this over shell find or ls when locating repository files.", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": true - }, - { - "name": "grep", - "description": "Search file contents with a regex pattern. Use path to choose the search root, glob_filter to limit matching files, case_insensitive for case folding, and max_results to cap output.", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": false - }, - { - "name": "list_dir", - "description": "List directory contents with depth control", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": true - }, - { - "name": "read_file", - "description": "Read files before editing them. Returns line-numbered text and supports offset/limit for large files. Use this instead of shell cat, head, tail, or sed when inspecting repository files.", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": true - }, - { - "name": "read_many_files", - "description": "Read multiple files at once", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": false - }, - { - "name": "send_input", - "description": "Send a follow-up message to a running subagent when new information or corrected instructions are needed.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "shell", - "description": "Execute shell commands for terminal operations, package managers, tests and builds. Use dedicated tools for file reads, file edits, filename searches, and content searches. Provide timeout_ms for long-running commands.", - "source": { - "kind": "native" - }, - "category": "shell", - "invoked": true - }, - { - "name": "spawn_agent", - "description": "Spawn a subagent for independent work or context isolation. Use it for tasks that can proceed separately, and avoid duplicating the same work in the parent session.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "wait", - "description": "Wait for a subagent to complete, then use the result to synthesize the outcome for the user.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "web_fetch", - "description": "Fetch content from a URL that starts with http:// or https://. Pass a prompt to extract specific information or summarize the page; omit prompt to return the page content.", - "source": { - "kind": "native" - }, - "category": "other", - "invoked": false - }, - { - "name": "web_search", - "description": "Search the web using Brave Search when current external information is needed. Returns result titles, URLs, and descriptions; use web_fetch for a specific URL.", - "source": { - "kind": "native" - }, - "category": "other", - "invoked": false - }, - { - "name": "write_file", - "description": "Create new files, or overwrite an existing file only when replacement is explicitly intended. Prefer edit_file for targeted changes to existing files because write_file overwrites the full file content.", - "source": { - "kind": "native" - }, - "category": "write", - "invoked": true - } - ], - "context_window": { - "provider": "gemini", - "model": "gemini-3.5-flash", - "context_window_tokens": 1048576, - "input_tokens": 35766, - "usage_percent": 3.4109115600585938, - "count_method": "response_usage_scaled_breakdown", - "staleness": "live", - "generated_at": "2026-06-04T18:53:08.669654Z", - "event_seq": 458, - "breakdown": [ - { - "category": "system_prompt", - "tokens": 1592, - "usage_percent": 0.151824951171875 - }, - { - "category": "tools", - "tokens": 1643, - "usage_percent": 0.15668869018554688 - }, - { - "category": "memory", - "tokens": 4449, - "usage_percent": 0.4242897033691406 - }, - { - "category": "conversation", - "tokens": 28076, - "usage_percent": 2.6775360107421875 - }, - { - "category": "other", - "tokens": 6, - "usage_percent": 0.00057220458984375 - } - ], - "warnings": [] - }, - "state": "succeeded" - }, - "start@1": { - "first_event_seq": 18, - "prompt": null, - "response": null, - "completion": { - "outcome": "succeeded", - "notes": null, - "failure_reason": null, - "timestamp": "2026-06-04T18:37:54.373021Z" + "timestamp": "2026-06-04T18:55:18.398339Z" }, "provider_used": null, "diff": null, @@ -3713,252 +4218,7 @@ "script_timing": null, "parallel_results": null, "output": null, - "started_at": "2026-06-04T18:37:54.372698Z", - "handler": "start", - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 0, - "tool_time_ms": 0, - "active_time_ms": 0 - }, - "usage": { - "input_tokens": 0, - "output_tokens": 0, - "total_tokens": 0, - "reasoning_tokens": 0, - "cache_read_tokens": 0, - "cache_write_tokens": 0 - }, - "state": "succeeded" - }, - "verify_data@1": { - "first_event_seq": 317, - "prompt": null, - "response": 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", - "model": "gemini-3.5-flash" - }, - "diff": null, - "script_invocation": null, - "script_timing": null, - "parallel_results": null, - "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, - "total_tokens": 208263, - "reasoning_tokens": 1275, - "cache_read_tokens": 64902, - "cache_write_tokens": 0, - "total_usd_micros": 248814 - }, - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "permission_level": "full", - "agent_tools": [ - { - "name": "close_agent", - "description": "Close a running subagent that is no longer needed.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "edit_file", - "description": "Edit a file by replacing an exact string. The old_string must be an exact match and unique unless replace_all is true; include surrounding context when needed. Read the file first and preserve existing indentation.", - "source": { - "kind": "native" - }, - "category": "write", - "invoked": false - }, - { - "name": "glob", - "description": "Find files by file names using a glob pattern. Use path to choose the search root. Prefer this over shell find or ls when locating repository files.", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": true - }, - { - "name": "grep", - "description": "Search file contents with a regex pattern. Use path to choose the search root, glob_filter to limit matching files, case_insensitive for case folding, and max_results to cap output.", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": false - }, - { - "name": "list_dir", - "description": "List directory contents with depth control", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": true - }, - { - "name": "read_file", - "description": "Read files before editing them. Returns line-numbered text and supports offset/limit for large files. Use this instead of shell cat, head, tail, or sed when inspecting repository files.", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": true - }, - { - "name": "read_many_files", - "description": "Read multiple files at once", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": false - }, - { - "name": "send_input", - "description": "Send a follow-up message to a running subagent when new information or corrected instructions are needed.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "shell", - "description": "Execute shell commands for terminal operations, package managers, tests and builds. Use dedicated tools for file reads, file edits, filename searches, and content searches. Provide timeout_ms for long-running commands.", - "source": { - "kind": "native" - }, - "category": "shell", - "invoked": true - }, - { - "name": "spawn_agent", - "description": "Spawn a subagent for independent work or context isolation. Use it for tasks that can proceed separately, and avoid duplicating the same work in the parent session.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "wait", - "description": "Wait for a subagent to complete, then use the result to synthesize the outcome for the user.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "web_fetch", - "description": "Fetch content from a URL that starts with http:// or https://. Pass a prompt to extract specific information or summarize the page; omit prompt to return the page content.", - "source": { - "kind": "native" - }, - "category": "other", - "invoked": false - }, - { - "name": "web_search", - "description": "Search the web using Brave Search when current external information is needed. Returns result titles, URLs, and descriptions; use web_fetch for a specific URL.", - "source": { - "kind": "native" - }, - "category": "other", - "invoked": false - }, - { - "name": "write_file", - "description": "Create new files, or overwrite an existing file only when replacement is explicitly intended. Prefer edit_file for targeted changes to existing files because write_file overwrites the full file content.", - "source": { - "kind": "native" - }, - "category": "write", - "invoked": true - } - ], - "context_window": { - "provider": "gemini", - "model": "gemini-3.5-flash", - "context_window_tokens": 1048576, - "input_tokens": 22891, - "usage_percent": 2.183055877685547, - "count_method": "response_usage_scaled_breakdown", - "staleness": "live", - "generated_at": "2026-06-04T18:51:07.327001Z", - "event_seq": 368, - "breakdown": [ - { - "category": "system_prompt", - "tokens": 1679, - "usage_percent": 0.16012191772460938 - }, - { - "category": "tools", - "tokens": 1744, - "usage_percent": 0.16632080078125 - }, - { - "category": "memory", - "tokens": 4722, - "usage_percent": 0.45032501220703125 - }, - { - "category": "conversation", - "tokens": 14740, - "usage_percent": 1.4057159423828125 - }, - { - "category": "other", - "tokens": 6, - "usage_percent": 0.00057220458984375 - } - ], - "warnings": [] - }, - "state": "succeeded" - }, - "check_setup@1": { - "first_event_seq": 203, - "prompt": null, - "response": null, - "completion": { - "outcome": "succeeded", - "notes": "Conditional node evaluated: check_setup", - "failure_reason": null, - "timestamp": "2026-06-04T18:46:04.833632Z" - }, - "provider_used": null, - "diff": null, - "script_invocation": null, - "script_timing": null, - "parallel_results": null, - "output": null, - "started_at": "2026-06-04T18:46:04.833398Z", + "started_at": "2026-06-04T18:55:18.398027Z", "handler": "conditional", "timing": { "wall_time_ms": 0, @@ -3976,462 +4236,6 @@ }, "state": "succeeded" }, - "impl_setup@1": { - "first_event_seq": 66, - "prompt": null, - "response": null, - "completion": { - "outcome": "succeeded", - "notes": "Stage completed: impl_setup", - "failure_reason": null, - "timestamp": "2026-06-04T18:44:57.769454Z" - }, - "provider_used": { - "mode": "agent", - "provider": "gemini", - "model": "gemini-3.5-flash" - }, - "diff": null, - "script_invocation": null, - "script_timing": null, - "parallel_results": null, - "output": null, - "started_at": "2026-06-04T18:43:39.031187Z", - "handler": "agent", - "timing": { - "wall_time_ms": 78737, - "inference_time_ms": 54533, - "tool_time_ms": 18730, - "active_time_ms": 73263 - }, - "usage": { - "input_tokens": 144122, - "output_tokens": 3364, - "total_tokens": 280606, - "reasoning_tokens": 3387, - "cache_read_tokens": 129733, - "cache_write_tokens": 0, - "total_usd_micros": 296401 - }, - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "permission_level": "full", - "agent_tools": [ - { - "name": "close_agent", - "description": "Close a running subagent that is no longer needed.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "edit_file", - "description": "Edit a file by replacing an exact string. The old_string must be an exact match and unique unless replace_all is true; include surrounding context when needed. Read the file first and preserve existing indentation.", - "source": { - "kind": "native" - }, - "category": "write", - "invoked": false - }, - { - "name": "glob", - "description": "Find files by file names using a glob pattern. Use path to choose the search root. Prefer this over shell find or ls when locating repository files.", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": false - }, - { - "name": "grep", - "description": "Search file contents with a regex pattern. Use path to choose the search root, glob_filter to limit matching files, case_insensitive for case folding, and max_results to cap output.", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": false - }, - { - "name": "list_dir", - "description": "List directory contents with depth control", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": true - }, - { - "name": "read_file", - "description": "Read files before editing them. Returns line-numbered text and supports offset/limit for large files. Use this instead of shell cat, head, tail, or sed when inspecting repository files.", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": true - }, - { - "name": "read_many_files", - "description": "Read multiple files at once", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": false - }, - { - "name": "send_input", - "description": "Send a follow-up message to a running subagent when new information or corrected instructions are needed.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "shell", - "description": "Execute shell commands for terminal operations, package managers, tests and builds. Use dedicated tools for file reads, file edits, filename searches, and content searches. Provide timeout_ms for long-running commands.", - "source": { - "kind": "native" - }, - "category": "shell", - "invoked": true - }, - { - "name": "spawn_agent", - "description": "Spawn a subagent for independent work or context isolation. Use it for tasks that can proceed separately, and avoid duplicating the same work in the parent session.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "wait", - "description": "Wait for a subagent to complete, then use the result to synthesize the outcome for the user.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "web_fetch", - "description": "Fetch content from a URL that starts with http:// or https://. Pass a prompt to extract specific information or summarize the page; omit prompt to return the page content.", - "source": { - "kind": "native" - }, - "category": "other", - "invoked": false - }, - { - "name": "web_search", - "description": "Search the web using Brave Search when current external information is needed. Returns result titles, URLs, and descriptions; use web_fetch for a specific URL.", - "source": { - "kind": "native" - }, - "category": "other", - "invoked": false - }, - { - "name": "write_file", - "description": "Create new files, or overwrite an existing file only when replacement is explicitly intended. Prefer edit_file for targeted changes to existing files because write_file overwrites the full file content.", - "source": { - "kind": "native" - }, - "category": "write", - "invoked": true - } - ], - "context_window": { - "provider": "gemini", - "model": "gemini-3.5-flash", - "context_window_tokens": 1048576, - "input_tokens": 20264, - "usage_percent": 1.932525634765625, - "count_method": "response_usage_scaled_breakdown", - "staleness": "live", - "generated_at": "2026-06-04T18:44:57.768199Z", - "event_seq": 120, - "breakdown": [ - { - "category": "system_prompt", - "tokens": 1440, - "usage_percent": 0.1373291015625 - }, - { - "category": "tools", - "tokens": 1521, - "usage_percent": 0.14505386352539062 - }, - { - "category": "memory", - "tokens": 4120, - "usage_percent": 0.392913818359375 - }, - { - "category": "conversation", - "tokens": 13176, - "usage_percent": 1.256561279296875 - }, - { - "category": "other", - "tokens": 7, - "usage_percent": 0.000667572021484375 - } - ], - "warnings": [] - }, - "state": "succeeded" - }, - "check_data@1": { - "first_event_seq": 378, - "prompt": null, - "response": null, - "completion": { - "outcome": "succeeded", - "notes": "Conditional node evaluated: check_data", - "failure_reason": null, - "timestamp": "2026-06-04T18:51:24.388447Z" - }, - "provider_used": null, - "diff": null, - "script_invocation": null, - "script_timing": null, - "parallel_results": null, - "output": null, - "started_at": "2026-06-04T18:51:24.388288Z", - "handler": "conditional", - "timing": { - "wall_time_ms": 0, - "inference_time_ms": 0, - "tool_time_ms": 0, - "active_time_ms": 0 - }, - "usage": { - "input_tokens": 0, - "output_tokens": 0, - "total_tokens": 0, - "reasoning_tokens": 0, - "cache_read_tokens": 0, - "cache_write_tokens": 0 - }, - "state": "succeeded" - }, - "impl_data@1": { - "first_event_seq": 211, - "prompt": null, - "response": null, - "completion": { - "outcome": "succeeded", - "notes": "Stage completed: impl_data", - "failure_reason": null, - "timestamp": "2026-06-04T18:50:05.683371Z" - }, - "provider_used": { - "mode": "agent", - "provider": "gemini", - "model": "gemini-3.5-flash" - }, - "diff": null, - "script_invocation": null, - "script_timing": null, - "parallel_results": null, - "output": null, - "started_at": "2026-06-04T18:46:21.635293Z", - "handler": "agent", - "timing": { - "wall_time_ms": 224047, - "inference_time_ms": 193731, - "tool_time_ms": 20404, - "active_time_ms": 214135 - }, - "usage": { - "input_tokens": 179865, - "output_tokens": 10451, - "total_tokens": 853520, - "reasoning_tokens": 21516, - "cache_read_tokens": 641688, - "cache_write_tokens": 0, - "total_usd_micros": 653753 - }, - "model": { - "provider": "gemini", - "model_id": "gemini-3.5-flash" - }, - "permission_level": "full", - "agent_tools": [ - { - "name": "close_agent", - "description": "Close a running subagent that is no longer needed.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "edit_file", - "description": "Edit a file by replacing an exact string. The old_string must be an exact match and unique unless replace_all is true; include surrounding context when needed. Read the file first and preserve existing indentation.", - "source": { - "kind": "native" - }, - "category": "write", - "invoked": false - }, - { - "name": "glob", - "description": "Find files by file names using a glob pattern. Use path to choose the search root. Prefer this over shell find or ls when locating repository files.", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": true - }, - { - "name": "grep", - "description": "Search file contents with a regex pattern. Use path to choose the search root, glob_filter to limit matching files, case_insensitive for case folding, and max_results to cap output.", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": false - }, - { - "name": "list_dir", - "description": "List directory contents with depth control", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": true - }, - { - "name": "read_file", - "description": "Read files before editing them. Returns line-numbered text and supports offset/limit for large files. Use this instead of shell cat, head, tail, or sed when inspecting repository files.", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": true - }, - { - "name": "read_many_files", - "description": "Read multiple files at once", - "source": { - "kind": "native" - }, - "category": "read", - "invoked": false - }, - { - "name": "send_input", - "description": "Send a follow-up message to a running subagent when new information or corrected instructions are needed.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "shell", - "description": "Execute shell commands for terminal operations, package managers, tests and builds. Use dedicated tools for file reads, file edits, filename searches, and content searches. Provide timeout_ms for long-running commands.", - "source": { - "kind": "native" - }, - "category": "shell", - "invoked": true - }, - { - "name": "spawn_agent", - "description": "Spawn a subagent for independent work or context isolation. Use it for tasks that can proceed separately, and avoid duplicating the same work in the parent session.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "wait", - "description": "Wait for a subagent to complete, then use the result to synthesize the outcome for the user.", - "source": { - "kind": "native" - }, - "category": "subagent", - "invoked": false - }, - { - "name": "web_fetch", - "description": "Fetch content from a URL that starts with http:// or https://. Pass a prompt to extract specific information or summarize the page; omit prompt to return the page content.", - "source": { - "kind": "native" - }, - "category": "other", - "invoked": false - }, - { - "name": "web_search", - "description": "Search the web using Brave Search when current external information is needed. Returns result titles, URLs, and descriptions; use web_fetch for a specific URL.", - "source": { - "kind": "native" - }, - "category": "other", - "invoked": false - }, - { - "name": "write_file", - "description": "Create new files, or overwrite an existing file only when replacement is explicitly intended. Prefer edit_file for targeted changes to existing files because write_file overwrites the full file content.", - "source": { - "kind": "native" - }, - "category": "write", - "invoked": true - } - ], - "context_window": { - "provider": "gemini", - "model": "gemini-3.5-flash", - "context_window_tokens": 1048576, - "input_tokens": 54068, - "usage_percent": 5.1563262939453125, - "count_method": "response_usage_scaled_breakdown", - "staleness": "live", - "generated_at": "2026-06-04T18:50:05.580551Z", - "event_seq": 307, - "breakdown": [ - { - "category": "system_prompt", - "tokens": 1361, - "usage_percent": 0.12979507446289062 - }, - { - "category": "tools", - "tokens": 1422, - "usage_percent": 0.13561248779296875 - }, - { - "category": "memory", - "tokens": 3850, - "usage_percent": 0.36716461181640625 - }, - { - "category": "conversation", - "tokens": 47430, - "usage_percent": 4.523277282714844 - }, - { - "category": "other", - "tokens": 5, - "usage_percent": 0.000476837158203125 - } - ], - "warnings": [] - }, - "state": "succeeded" - }, "verify_setup@1": { "first_event_seq": 130, "prompt": null, @@ -4642,6 +4446,806 @@ "warnings": [] }, "state": "succeeded" + }, + "verify_logic@1": { + "first_event_seq": 468, + "prompt": null, + "response": null, + "completion": { + "outcome": "succeeded", + "notes": "Stage completed: verify_logic", + "failure_reason": null, + "timestamp": "2026-06-04T18:55:08.962930Z" + }, + "provider_used": { + "mode": "agent", + "provider": "gemini", + "model": "gemini-3.5-flash" + }, + "diff": null, + "script_invocation": null, + "script_timing": null, + "parallel_results": null, + "output": null, + "started_at": "2026-06-04T18:53:24.436885Z", + "handler": "agent", + "timing": { + "wall_time_ms": 104525, + "inference_time_ms": 86292, + "tool_time_ms": 12373, + "active_time_ms": 98665 + }, + "usage": { + "input_tokens": 151048, + "output_tokens": 3002, + "total_tokens": 486511, + "reasoning_tokens": 6993, + "cache_read_tokens": 325468, + "cache_write_tokens": 0, + "total_usd_micros": 365347 + }, + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "permission_level": "full", + "agent_tools": [ + { + "name": "close_agent", + "description": "Close a running subagent that is no longer needed.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "edit_file", + "description": "Edit a file by replacing an exact string. The old_string must be an exact match and unique unless replace_all is true; include surrounding context when needed. Read the file first and preserve existing indentation.", + "source": { + "kind": "native" + }, + "category": "write", + "invoked": false + }, + { + "name": "glob", + "description": "Find files by file names using a glob pattern. Use path to choose the search root. Prefer this over shell find or ls when locating repository files.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "grep", + "description": "Search file contents with a regex pattern. Use path to choose the search root, glob_filter to limit matching files, case_insensitive for case folding, and max_results to cap output.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": false + }, + { + "name": "list_dir", + "description": "List directory contents with depth control", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "read_file", + "description": "Read files before editing them. Returns line-numbered text and supports offset/limit for large files. Use this instead of shell cat, head, tail, or sed when inspecting repository files.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "read_many_files", + "description": "Read multiple files at once", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "send_input", + "description": "Send a follow-up message to a running subagent when new information or corrected instructions are needed.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "shell", + "description": "Execute shell commands for terminal operations, package managers, tests and builds. Use dedicated tools for file reads, file edits, filename searches, and content searches. Provide timeout_ms for long-running commands.", + "source": { + "kind": "native" + }, + "category": "shell", + "invoked": true + }, + { + "name": "spawn_agent", + "description": "Spawn a subagent for independent work or context isolation. Use it for tasks that can proceed separately, and avoid duplicating the same work in the parent session.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "wait", + "description": "Wait for a subagent to complete, then use the result to synthesize the outcome for the user.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "web_fetch", + "description": "Fetch content from a URL that starts with http:// or https://. Pass a prompt to extract specific information or summarize the page; omit prompt to return the page content.", + "source": { + "kind": "native" + }, + "category": "other", + "invoked": false + }, + { + "name": "web_search", + "description": "Search the web using Brave Search when current external information is needed. Returns result titles, URLs, and descriptions; use web_fetch for a specific URL.", + "source": { + "kind": "native" + }, + "category": "other", + "invoked": false + }, + { + "name": "write_file", + "description": "Create new files, or overwrite an existing file only when replacement is explicitly intended. Prefer edit_file for targeted changes to existing files because write_file overwrites the full file content.", + "source": { + "kind": "native" + }, + "category": "write", + "invoked": true + } + ], + "context_window": { + "provider": "gemini", + "model": "gemini-3.5-flash", + "context_window_tokens": 1048576, + "input_tokens": 38467, + "usage_percent": 3.668498992919922, + "count_method": "response_usage_scaled_breakdown", + "staleness": "live", + "generated_at": "2026-06-04T18:55:08.810704Z", + "event_seq": 534, + "breakdown": [ + { + "category": "system_prompt", + "tokens": 1607, + "usage_percent": 0.15325546264648438 + }, + { + "category": "tools", + "tokens": 1653, + "usage_percent": 0.15764236450195312 + }, + { + "category": "memory", + "tokens": 4475, + "usage_percent": 0.4267692565917969 + }, + { + "category": "conversation", + "tokens": 30726, + "usage_percent": 2.930259704589844 + }, + { + "category": "other", + "tokens": 6, + "usage_percent": 0.00057220458984375 + } + ], + "warnings": [] + }, + "state": "succeeded" + }, + "impl_ui@1": { + "first_event_seq": 552, + "prompt": null, + "response": null, + "completion": { + "outcome": "failed", + "notes": null, + "failure_reason": "LLM error: Network error: error sending request for url (https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash:streamGenerateContent?alt=sse)", + "timestamp": "2026-06-04T19:15:09.735463Z" + }, + "provider_used": { + "mode": "agent", + "provider": "gemini", + "model": "gemini-3.5-flash" + }, + "diff": null, + "script_invocation": null, + "script_timing": null, + "parallel_results": null, + "output": null, + "started_at": "2026-06-04T19:15:02.781620Z", + "handler": "agent", + "timing": { + "wall_time_ms": 6952, + "inference_time_ms": 0, + "tool_time_ms": 0, + "active_time_ms": 0 + }, + "usage": { + "input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "reasoning_tokens": 0, + "cache_read_tokens": 0, + "cache_write_tokens": 0 + }, + "permission_level": "full", + "agent_tools": [ + { + "name": "close_agent", + "description": "Close a running subagent that is no longer needed.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "edit_file", + "description": "Edit a file by replacing an exact string. The old_string must be an exact match and unique unless replace_all is true; include surrounding context when needed. Read the file first and preserve existing indentation.", + "source": { + "kind": "native" + }, + "category": "write", + "invoked": false + }, + { + "name": "glob", + "description": "Find files by file names using a glob pattern. Use path to choose the search root. Prefer this over shell find or ls when locating repository files.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": false + }, + { + "name": "grep", + "description": "Search file contents with a regex pattern. Use path to choose the search root, glob_filter to limit matching files, case_insensitive for case folding, and max_results to cap output.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": false + }, + { + "name": "list_dir", + "description": "List directory contents with depth control", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": false + }, + { + "name": "read_file", + "description": "Read files before editing them. Returns line-numbered text and supports offset/limit for large files. Use this instead of shell cat, head, tail, or sed when inspecting repository files.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": false + }, + { + "name": "read_many_files", + "description": "Read multiple files at once", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": false + }, + { + "name": "send_input", + "description": "Send a follow-up message to a running subagent when new information or corrected instructions are needed.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "shell", + "description": "Execute shell commands for terminal operations, package managers, tests and builds. Use dedicated tools for file reads, file edits, filename searches, and content searches. Provide timeout_ms for long-running commands.", + "source": { + "kind": "native" + }, + "category": "shell", + "invoked": false + }, + { + "name": "spawn_agent", + "description": "Spawn a subagent for independent work or context isolation. Use it for tasks that can proceed separately, and avoid duplicating the same work in the parent session.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "wait", + "description": "Wait for a subagent to complete, then use the result to synthesize the outcome for the user.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "web_fetch", + "description": "Fetch content from a URL that starts with http:// or https://. Pass a prompt to extract specific information or summarize the page; omit prompt to return the page content.", + "source": { + "kind": "native" + }, + "category": "other", + "invoked": false + }, + { + "name": "web_search", + "description": "Search the web using Brave Search when current external information is needed. Returns result titles, URLs, and descriptions; use web_fetch for a specific URL.", + "source": { + "kind": "native" + }, + "category": "other", + "invoked": false + }, + { + "name": "write_file", + "description": "Create new files, or overwrite an existing file only when replacement is explicitly intended. Prefer edit_file for targeted changes to existing files because write_file overwrites the full file content.", + "source": { + "kind": "native" + }, + "category": "write", + "invoked": false + } + ], + "state": "failed" + }, + "impl_data@1": { + "first_event_seq": 211, + "prompt": null, + "response": null, + "completion": { + "outcome": "succeeded", + "notes": "Stage completed: impl_data", + "failure_reason": null, + "timestamp": "2026-06-04T18:50:05.683371Z" + }, + "provider_used": { + "mode": "agent", + "provider": "gemini", + "model": "gemini-3.5-flash" + }, + "diff": null, + "script_invocation": null, + "script_timing": null, + "parallel_results": null, + "output": null, + "started_at": "2026-06-04T18:46:21.635293Z", + "handler": "agent", + "timing": { + "wall_time_ms": 224047, + "inference_time_ms": 193731, + "tool_time_ms": 20404, + "active_time_ms": 214135 + }, + "usage": { + "input_tokens": 179865, + "output_tokens": 10451, + "total_tokens": 853520, + "reasoning_tokens": 21516, + "cache_read_tokens": 641688, + "cache_write_tokens": 0, + "total_usd_micros": 653753 + }, + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "permission_level": "full", + "agent_tools": [ + { + "name": "close_agent", + "description": "Close a running subagent that is no longer needed.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "edit_file", + "description": "Edit a file by replacing an exact string. The old_string must be an exact match and unique unless replace_all is true; include surrounding context when needed. Read the file first and preserve existing indentation.", + "source": { + "kind": "native" + }, + "category": "write", + "invoked": false + }, + { + "name": "glob", + "description": "Find files by file names using a glob pattern. Use path to choose the search root. Prefer this over shell find or ls when locating repository files.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "grep", + "description": "Search file contents with a regex pattern. Use path to choose the search root, glob_filter to limit matching files, case_insensitive for case folding, and max_results to cap output.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": false + }, + { + "name": "list_dir", + "description": "List directory contents with depth control", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "read_file", + "description": "Read files before editing them. Returns line-numbered text and supports offset/limit for large files. Use this instead of shell cat, head, tail, or sed when inspecting repository files.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "read_many_files", + "description": "Read multiple files at once", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": false + }, + { + "name": "send_input", + "description": "Send a follow-up message to a running subagent when new information or corrected instructions are needed.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "shell", + "description": "Execute shell commands for terminal operations, package managers, tests and builds. Use dedicated tools for file reads, file edits, filename searches, and content searches. Provide timeout_ms for long-running commands.", + "source": { + "kind": "native" + }, + "category": "shell", + "invoked": true + }, + { + "name": "spawn_agent", + "description": "Spawn a subagent for independent work or context isolation. Use it for tasks that can proceed separately, and avoid duplicating the same work in the parent session.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "wait", + "description": "Wait for a subagent to complete, then use the result to synthesize the outcome for the user.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "web_fetch", + "description": "Fetch content from a URL that starts with http:// or https://. Pass a prompt to extract specific information or summarize the page; omit prompt to return the page content.", + "source": { + "kind": "native" + }, + "category": "other", + "invoked": false + }, + { + "name": "web_search", + "description": "Search the web using Brave Search when current external information is needed. Returns result titles, URLs, and descriptions; use web_fetch for a specific URL.", + "source": { + "kind": "native" + }, + "category": "other", + "invoked": false + }, + { + "name": "write_file", + "description": "Create new files, or overwrite an existing file only when replacement is explicitly intended. Prefer edit_file for targeted changes to existing files because write_file overwrites the full file content.", + "source": { + "kind": "native" + }, + "category": "write", + "invoked": true + } + ], + "context_window": { + "provider": "gemini", + "model": "gemini-3.5-flash", + "context_window_tokens": 1048576, + "input_tokens": 54068, + "usage_percent": 5.1563262939453125, + "count_method": "response_usage_scaled_breakdown", + "staleness": "live", + "generated_at": "2026-06-04T18:50:05.580551Z", + "event_seq": 307, + "breakdown": [ + { + "category": "system_prompt", + "tokens": 1361, + "usage_percent": 0.12979507446289062 + }, + { + "category": "tools", + "tokens": 1422, + "usage_percent": 0.13561248779296875 + }, + { + "category": "memory", + "tokens": 3850, + "usage_percent": 0.36716461181640625 + }, + { + "category": "conversation", + "tokens": 47430, + "usage_percent": 4.523277282714844 + }, + { + "category": "other", + "tokens": 5, + "usage_percent": 0.000476837158203125 + } + ], + "warnings": [] + }, + "state": "succeeded" + }, + "impl_logic@1": { + "first_event_seq": 386, + "prompt": null, + "response": null, + "completion": { + "outcome": "succeeded", + "notes": "Stage completed: impl_logic", + "failure_reason": null, + "timestamp": "2026-06-04T18:53:17.580236Z" + }, + "provider_used": { + "mode": "agent", + "provider": "gemini", + "model": "gemini-3.5-flash" + }, + "diff": null, + "script_invocation": null, + "script_timing": null, + "parallel_results": null, + "output": null, + "started_at": "2026-06-04T18:51:31.768420Z", + "handler": "agent", + "timing": { + "wall_time_ms": 105811, + "inference_time_ms": 75101, + "tool_time_ms": 19151, + "active_time_ms": 94252 + }, + "usage": { + "input_tokens": 177020, + "output_tokens": 3075, + "total_tokens": 567305, + "reasoning_tokens": 5079, + "cache_read_tokens": 382131, + "cache_write_tokens": 0, + "total_usd_micros": 396235 + }, + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "permission_level": "full", + "agent_tools": [ + { + "name": "close_agent", + "description": "Close a running subagent that is no longer needed.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "edit_file", + "description": "Edit a file by replacing an exact string. The old_string must be an exact match and unique unless replace_all is true; include surrounding context when needed. Read the file first and preserve existing indentation.", + "source": { + "kind": "native" + }, + "category": "write", + "invoked": true + }, + { + "name": "glob", + "description": "Find files by file names using a glob pattern. Use path to choose the search root. Prefer this over shell find or ls when locating repository files.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "grep", + "description": "Search file contents with a regex pattern. Use path to choose the search root, glob_filter to limit matching files, case_insensitive for case folding, and max_results to cap output.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": false + }, + { + "name": "list_dir", + "description": "List directory contents with depth control", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "read_file", + "description": "Read files before editing them. Returns line-numbered text and supports offset/limit for large files. Use this instead of shell cat, head, tail, or sed when inspecting repository files.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "read_many_files", + "description": "Read multiple files at once", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": false + }, + { + "name": "send_input", + "description": "Send a follow-up message to a running subagent when new information or corrected instructions are needed.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "shell", + "description": "Execute shell commands for terminal operations, package managers, tests and builds. Use dedicated tools for file reads, file edits, filename searches, and content searches. Provide timeout_ms for long-running commands.", + "source": { + "kind": "native" + }, + "category": "shell", + "invoked": true + }, + { + "name": "spawn_agent", + "description": "Spawn a subagent for independent work or context isolation. Use it for tasks that can proceed separately, and avoid duplicating the same work in the parent session.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "wait", + "description": "Wait for a subagent to complete, then use the result to synthesize the outcome for the user.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "web_fetch", + "description": "Fetch content from a URL that starts with http:// or https://. Pass a prompt to extract specific information or summarize the page; omit prompt to return the page content.", + "source": { + "kind": "native" + }, + "category": "other", + "invoked": false + }, + { + "name": "web_search", + "description": "Search the web using Brave Search when current external information is needed. Returns result titles, URLs, and descriptions; use web_fetch for a specific URL.", + "source": { + "kind": "native" + }, + "category": "other", + "invoked": false + }, + { + "name": "write_file", + "description": "Create new files, or overwrite an existing file only when replacement is explicitly intended. Prefer edit_file for targeted changes to existing files because write_file overwrites the full file content.", + "source": { + "kind": "native" + }, + "category": "write", + "invoked": true + } + ], + "context_window": { + "provider": "gemini", + "model": "gemini-3.5-flash", + "context_window_tokens": 1048576, + "input_tokens": 35766, + "usage_percent": 3.4109115600585938, + "count_method": "response_usage_scaled_breakdown", + "staleness": "live", + "generated_at": "2026-06-04T18:53:08.669654Z", + "event_seq": 458, + "breakdown": [ + { + "category": "system_prompt", + "tokens": 1592, + "usage_percent": 0.151824951171875 + }, + { + "category": "tools", + "tokens": 1643, + "usage_percent": 0.15668869018554688 + }, + { + "category": "memory", + "tokens": 4449, + "usage_percent": 0.4242897033691406 + }, + { + "category": "conversation", + "tokens": 28076, + "usage_percent": 2.6775360107421875 + }, + { + "category": "other", + "tokens": 6, + "usage_percent": 0.00057220458984375 + } + ], + "warnings": [] + }, + "state": "succeeded" } } } \ No newline at end of file diff --git a/stages/010-verify_logic@1/diff.patch b/stages/010-verify_logic@1/diff.patch new file mode 100644 index 000000000..ae1a1b5aa --- /dev/null +++ b/stages/010-verify_logic@1/diff.patch @@ -0,0 +1,97 @@ +diff --git a/.ai/verify_logic.md b/.ai/verify_logic.md +new file mode 100644 +index 000000000..8ff2d891a +--- /dev/null ++++ b/.ai/verify_logic.md +@@ -0,0 +1,81 @@ ++# Game Logic Verification Findings ++ ++## 1. Overview and Command Execution ++We have successfully run and verified the entire FreeCell Solitaire card game logic, move validation engine, win/loss detection, and undo/redo systems. ++ ++The test suite was executed via the following command: ++```bash ++cd card-game-app && python3 -m pytest tests/ -v ++``` ++ ++**Results:** ++- **Pytest:** 16/16 tests passed successfully (100% pass rate). ++- **Compilation Check:** Checked with `python3 -m py_compile main.py src/card_game_tui/*.py` – compiled with zero errors or warnings. ++- **Smoke Test Check:** Checked with `python3 main.py --smoke` – completed successfully. ++ ++--- ++ ++## 2. Core Game Logic Areas Verified ++ ++### A. Move & Action Validation ++The move validation engine in `GameState.validate_move` has been verified for all game scenarios: ++- **Index boundaries:** Prevents invalid indices (e.g., tableaus outside 0-7, freecells/foundations outside 0-3). ++- **Invalid sources:** Moving from a foundation is forbidden. ++- **Single-card move constraints:** ++ - **Free Cells:** Permits placement only if empty; prevents moves when already occupied. ++ - **Foundations:** Enforces starting with an **Ace** and building up sequentially in ascending rank order (`Ace -> 2 -> ... -> King`) of the identical suit. ++ - **Tableaus:** Validates build-down rules. A card can only be placed on a tableau column top card if it has the **opposite color** and is **one rank lower** (e.g., Red 8 onto Black 9). ++- **Sequence/Multi-card moves:** ++ - Validates sequence integrity of moving cards (alternating color, descending ranks). ++ - Enforces the capacity constraint formula to calculate the maximum size of a legal sequence move: ++ $$\text{Max Cards} = (1 + \text{empty\_freecells}) \times 2^{\text{transit\_empty\_tableaus}}$$ ++ - Correctly adjusts `transit_empty_tableaus` when moving to an empty column (which cannot act as an intermediate transit space, i.e., `transit_empty_tableaus = max(0, empty_tableaus - 1)`). ++ ++### B. Cascade Auto-Homing ++- Automatically scans free cells and tableau column tops after each move to move eligible cards to their respective foundations. ++- Implements **safe auto-homing**: A card of rank $R$ is only auto-homed if its rank does not exceed $N+1$, where $N$ is the length of the foundation pile of both **opposite color** suits. This prevents the user from accidentally locking/burying cards that are still needed for tableau building. ++- Runs recursively until no more eligible cards can be safely auto-homed. ++ ++### C. Win & Loss Detection ++- **Win Detection (`check_win`):** Checks if all 52 cards are successfully stored in their foundations (13 cards in each of the 4 suit piles). ++- **Loss Detection (`check_loss`):** Checks if there are absolutely no legal moves remaining. Evaluates: ++ - Moving from any occupied freecell to any tableau column, empty freecell, or foundation pile. ++ - Moving any valid-sized sequence of cards from any tableau column to any other tableau column, empty freecell, or foundation pile. ++ - Returns `False` on start of game or if any move is possible, and correctly returns `True` when all moves are fully blocked. ++ ++### D. Undo & Redo System ++- Records moves using the `MoveRecord` model. ++- **Nested Auto-Homing Rollback:** Captures all cascading auto-homing steps as nested records inside the primary player move. ++- **Undo Operation:** Reverts the main player move and rolls back the cascading auto-homes in the **precise reverse order** of their execution to ensure absolute state consistency. ++- **Redo Operation:** Correctly reapplies the undone player move followed by the exact nested auto-homing moves in their original forward order. ++- **Stack Integrity:** Clears the redo stack whenever the player initiates a new manual move, following standard undo-redo history patterns. ++ ++--- ++ ++## 3. Verified Scenarios and Test Coverage Matrix ++ ++The following test suites in `tests/test_domain.py` verify these domains: ++ ++| Test Name | Verifies | Status | ++| :--- | :--- | :--- | ++| `test_deck_deals_52_cards` | Deck creation has 52 cards | Pass | ++| `test_game_state_initialization` | Tableau dealing heights (four of 7, four of 6) | Pass | ++| `test_get_card_at` | Cards can be inspected accurately across tableaus, freecells, and foundations | Pass | ++| `test_deck_deterministic_seeding` | Deterministic shuffle given a seed | Pass | ++| `test_moves_to_free_cells` | Standard single-card moves and boundary conditions on free cells | Pass | ++| `test_moves_to_foundations` | Ascending rank sequences and suit checks on foundations | Pass | ++| `test_moves_to_tableau_single_card` | Alternating color and descending rank builds on tableau | Pass | ++| `test_sequence_moves_tableau_to_tableau` | Moving sequences and standard capacity calculation checks | Pass | ++| `test_sequence_moves_to_empty_tableau` | Capacity calculation adjustement when moving to an empty tableau column | Pass | ++| `test_auto_homing_logic` | Cascade moves & safe auto-homing constraints relative to opposite suits | Pass | ++| `test_undo_redo_system` | Basic rollback and forward operations on manual moves | Pass | ++| `test_undo_with_auto_homing` | Rolling back complex cascade sequences in precise reverse order | Pass | ++| `test_win_detection` | Accurate identification when all 52 cards are homed | Pass | ++| `test_check_loss_not_lost` | Returns false when game is solvable/moves exist | Pass | ++| `test_check_loss_won` | Returns false on won states | Pass | ++| `test_check_loss_is_lost` | Returns true when game is completely locked with no moves | Pass | ++ ++--- ++ ++## 4. Conclusion ++The card game logic for FreeCell solitaire is highly robust, fully self-consistent, thoroughly tested, and perfectly correct. The model is complete and ready to power the text-based TUI. +diff --git a/status.json b/status.json +index ee6907d7f..905fb370f 100644 +--- a/status.json ++++ b/status.json +@@ -1,3 +1,3 @@ + { + "outcome": "succeeded" +-} +\ No newline at end of file ++} diff --git a/stages/011-check_logic@1/status.json b/stages/011-check_logic@1/status.json new file mode 100644 index 000000000..1b9b12c6a --- /dev/null +++ b/stages/011-check_logic@1/status.json @@ -0,0 +1,6 @@ +{ + "outcome": "succeeded", + "notes": "Conditional node evaluated: check_logic", + "failure_reason": null, + "timestamp": "2026-06-04T18:55:18.398339Z" +} \ No newline at end of file diff --git a/stages/012-impl_ui@1/prompt.md b/stages/012-impl_ui@1/prompt.md new file mode 100644 index 000000000..6d900118f --- /dev/null +++ b/stages/012-impl_ui@1/prompt.md @@ -0,0 +1,45 @@ +Goal: Build a terminal-based FreeCell solitaire game in Python + +## Completed stages +- **expand_spec**: succeeded + - Model: gemini-3.5-flash, 85.9k tokens in / 8.3k out + - Files: /home/daytona/workspace/fabro/.ai/card-game-spec.md, /home/daytona/workspace/fabro/status.json +- **impl_setup**: succeeded + - Model: gemini-3.5-flash, 144.1k tokens in / 6.8k out + - Files: /home/daytona/workspace/fabro/card-game-app/README.md, /home/daytona/workspace/fabro/card-game-app/main.py, /home/daytona/workspace/fabro/card-game-app/pyproject.toml, /home/daytona/workspace/fabro/card-game-app/src/card_game_tui/__init__.py, /home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py, /home/daytona/workspace/fabro/card-game-app/src/card_game_tui/tui.py, /home/daytona/workspace/fabro/card-game-app/tests/__init__.py, /home/daytona/workspace/fabro/card-game-app/tests/test_domain.py, /home/daytona/workspace/fabro/status.json +- **verify_setup**: succeeded + - Model: gemini-3.5-flash, 185.9k tokens in / 2.2k out + - Files: /home/daytona/workspace/fabro/.ai/verify_setup.md, /home/daytona/workspace/fabro/status.json +- **check_setup**: succeeded +- **impl_data**: succeeded + - Model: gemini-3.5-flash, 179.9k tokens in / 32.0k out + - Files: /home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py, /home/daytona/workspace/fabro/card-game-app/tests/test_domain.py, /home/daytona/workspace/fabro/status.json +- **verify_data**: succeeded + - Model: gemini-3.5-flash, 140.2k tokens in / 3.2k out + - Files: /home/daytona/workspace/fabro/.ai/verify_data.md, /home/daytona/workspace/fabro/status.json +- **check_data**: succeeded +- **impl_logic**: succeeded + - Model: gemini-3.5-flash, 177.0k tokens in / 8.2k out + - Files: /home/daytona/workspace/fabro/card-game-app/src/card_game_tui/domain.py, /home/daytona/workspace/fabro/card-game-app/tests/test_domain.py, /home/daytona/workspace/fabro/status.json +- **verify_logic**: succeeded + - Model: gemini-3.5-flash, 151.0k tokens in / 10.0k out + - Files: /home/daytona/workspace/fabro/.ai/verify_logic.md, /home/daytona/workspace/fabro/status.json +- **check_logic**: succeeded + + +Read .ai/card-game-spec.md and the game logic. + +Implement the curses TUI: +- Card rendering using ASCII art +- Board layout +- Keyboard input +- Move/action selection +- Help text +- `python3 main.py --smoke` non-interactive smoke path + +Keep rendering helpers testable where practical and avoid coupling game rules to curses. + +Run: +cd card-game-app && python3 -m pytest tests/ -v && python3 -m py_compile main.py src/card_game_tui/*.py && python3 main.py --smoke + +Write status.json at workspace root: outcome=succeeded if tests pass, files compile, and smoke mode works, outcome=failed with failure_reason otherwise. \ No newline at end of file diff --git a/stages/012-impl_ui@1/provider_used.json b/stages/012-impl_ui@1/provider_used.json new file mode 100644 index 000000000..0bb716dde --- /dev/null +++ b/stages/012-impl_ui@1/provider_used.json @@ -0,0 +1,5 @@ +{ + "mode": "agent", + "provider": "gemini", + "model": "gemini-3.5-flash" +} \ No newline at end of file diff --git a/stages/012-impl_ui@1/status.json b/stages/012-impl_ui@1/status.json new file mode 100644 index 000000000..a1df171f7 --- /dev/null +++ b/stages/012-impl_ui@1/status.json @@ -0,0 +1,6 @@ +{ + "outcome": "failed", + "notes": null, + "failure_reason": "LLM error: Network error: error sending request for url (https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash:streamGenerateContent?alt=sse)", + "timestamp": "2026-06-04T19:15:09.735463Z" +} \ No newline at end of file