diff --git a/run.json b/run.json index 830443637..b60e0397d 100644 --- a/run.json +++ b/run.json @@ -760,7 +760,7 @@ "kind": "running" }, "status_updated_at": "2026-06-04T18:37:50.931347Z", - "last_event_at": "2026-06-04T18:51:10.662009Z", + "last_event_at": "2026-06-04T18:53:08.669829Z", "pending_control": null, "checkpoints": [ { @@ -1692,9 +1692,304 @@ } }, { - "seq": 0, + "seq": 375, "checkpoint": { - "timestamp": "2026-06-04T18:51:24.388593Z", + "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" + }, + "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_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 + } + }, + "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 + } + } + }, + "next_node_id": "check_data", + "git_commit_sha": "e70211e1da0dcf9ec267a9a36307bd834c208e51", + "node_visits": { + "verify_data": 1, + "check_setup": 1, + "impl_data": 1, + "impl_setup": 1, + "expand_spec": 1, + "verify_setup": 1, + "start": 1 + } + }, + "diff": { + "patch": "diff --git a/.ai/verify_data.md b/.ai/verify_data.md\nnew file mode 100644\nindex 000000000..aa6dfcaf0\n--- /dev/null\n+++ b/.ai/verify_data.md\n@@ -0,0 +1,59 @@\n+# Data Structures and Core Game State Verification Findings\n+\n+## 1. Overview and Command Execution\n+We verified the core card game data structures, domain model classes, and test suite. The compilation and automated test run executed successfully:\n+\n+```bash\n+cd card-game-app && python3 -m pytest tests/ -v && python3 -m py_compile main.py src/card_game_tui/*.py\n+```\n+\n+**Results:**\n+- **Pytest:** 13/13 tests passed successfully.\n+- **Python Compilation:** All files compiled cleanly without syntax or import errors.\n+\n+---\n+\n+## 2. Core Game-State Types Defined\n+\n+The following models and enum types are defined in `src/card_game_tui/domain.py`:\n+\n+### Enums\n+- **`Suit`**: Enum representing the four suits: `HEARTS` (\"H\"), `DIAMONDS` (\"D\"), `CLUBS` (\"C\"), and `SPADES` (\"S\"). Includes color classification (`RED` or `BLACK`) and UTF-8 symbols (`♥`, `♦`, `♣`, `♠`).\n+- **`Rank`**: Enum representing ranks `ACE` (1) to `KING` (13) with appropriate alphanumeric labels (`A`, `J`, `Q`, `K`, or numeric string).\n+- **`LocationType`**: Enum classifying board areas: `TABLEAU`, `FREECELL`, and `FOUNDATION`.\n+\n+### Core Data Classes & Entities\n+- **`Card`**: Frozen dataclass containing `suit` and `rank`, with custom representation `[Rank][Suit]` (e.g., `A♥`, `10♠`).\n+- **`Position`**: Frozen dataclass packaging `LocationType` and `index` for explicit target and source identification during gameplay.\n+- **`MoveRecord`**: Stores move history containing `from_pos`, `to_pos`, moving cards list (`cards`), and a list of nested, cascaded `auto_moves` resulting from auto-homing.\n+- **`Deck`**: Builds a standard 52-card deck, supports deterministic random seeding, and deals cards into the 8 Tableau columns (four columns of 7 cards, four columns of 6 cards).\n+- **`GameState`**: Main orchestrator of the board. Holds state for:\n+ - 8 Tableau columns\n+ - 4 Free cells\n+ - Foundations mapped by Suit\n+ - Undo/Redo history stacks\n+\n+---\n+\n+## 3. Basic & Advanced Operations Verified\n+\n+### Move Validation and Rules Execution\n+- **Single Card Moves:** Correctly validates moving a card to free cells (if empty) and to foundations (Aces first, then sequential cards of the matching suit).\n+- **Tableau Placement rules:** Strictly enforces alternating colors and descending ranks (e.g., moving a Red 8 onto a Black 9).\n+- **Sequence/Multi-Card Moves:** Computes valid transit capacities based on the exact FreeCell Solitaire formula:\n+ $$\\text{Max Cards} = (1 + \\text{empty\\_freecells}) \\times 2^{\\text{transit\\_empty\\_tableaus}}$$\n+ Tested and verified that moves exceeding this threshold or violating sequential alternating order are rejected.\n+\n+### Cascade Auto-Homing\n+- Safely moves cards to foundations automatically after a successful player move.\n+- Avoids preemptive/unsafe auto-homing: a card is only auto-homed if its rank does not exceed $N+1$, where $N$ is the rank of the highest cards of the *opposite* color already placed in foundations. This prevents burying cards that might still be needed as Tableau anchors.\n+- Cascades until no further eligible cards can be home-bound.\n+\n+### Command History (Undo / Redo)\n+- Seamlessly reverts and reapplies moves.\n+- Accurately tracks nested auto-homed moves so that undoing a player's move rolls back the cascading auto-homing moves in precise reverse order.\n+\n+---\n+\n+## 4. Conclusion\n+The data model is fully complete, mathematically sound, robustly tested, and perfectly ready for consumption by the TUI layer.\n", + "summary": { + "files_changed": 12, + "additions": 1297, + "deletions": 0 + } + } + }, + { + "seq": 383, + "checkpoint": { + "timestamp": "2026-06-04T18:51:31.767963Z", "current_node": "check_data", "completed_nodes": [ "start", @@ -1707,22 +2002,328 @@ "check_data" ], "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.", + "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", + "thread.start.current_node": "expand_spec", + "internal.retry_count.impl_setup": 0, + "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, + "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", + "internal.run_id": "01KT9YT14FHDYA4VTV9DSFG0FY" + }, + "node_outcomes": { + "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 + } + }, + "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." + }, + "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_data": { + "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, + "expand_spec": 1, + "check_data": 1 + } + }, + "diff": { + "summary": { + "files_changed": 12, + "additions": 1297, + "deletions": 0 + } + } + }, + { + "seq": 0, + "checkpoint": { + "timestamp": "2026-06-04T18:53:17.580535Z", + "current_node": "impl_logic", + "completed_nodes": [ + "start", + "expand_spec", + "impl_setup", + "verify_setup", + "check_setup", + "impl_data", + "verify_data", + "check_data", + "impl_logic" + ], + "node_retries": {}, "context_values": { "thread.expand_spec.current_node": "impl_setup", "graph.retry_target": "impl_setup", - "internal.thread_id": "verify_data", + "internal.thread_id": "hard", "internal.retry_count.check_setup": 0, "internal.retry_count.verify_data": 0, "graph.default_max_retries": "3", - "current_node": "check_data", + "current_node": "impl_logic", "internal.fidelity": "compact", "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", - "last_stage": "verify_data", + "last_stage": "impl_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", "internal.work_dir": "/home/daytona/workspace/fabro", "internal.retry_count.start": 0, @@ -1731,7 +2332,7 @@ "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\"`.", "failure_class": "", - "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 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_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", @@ -1742,7 +2343,8 @@ "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" + "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": { @@ -1889,6 +2491,48 @@ "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_setup": { "status": "succeeded", "context_updates": { @@ -1973,7 +2617,7 @@ } } }, - "next_node_id": "impl_logic", + "next_node_id": "verify_logic", "node_visits": { "check_setup": 1, "start": 1, @@ -1981,6 +2625,7 @@ "verify_data": 1, "check_data": 1, "expand_spec": 1, + "impl_logic": 1, "impl_data": 1, "verify_setup": 1 } @@ -2014,40 +2659,6 @@ "superseded_by": null, "pending_interviews": {}, "stages": { - "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", - "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" - }, "expand_spec@1": { "first_event_seq": 22, "prompt": null, @@ -2259,16 +2870,11 @@ }, "state": "succeeded" }, - "impl_data@1": { - "first_event_seq": 211, + "impl_logic@1": { + "first_event_seq": 386, "prompt": null, "response": null, - "completion": { - "outcome": "succeeded", - "notes": "Stage completed: impl_data", - "failure_reason": null, - "timestamp": "2026-06-04T18:50:05.683371Z" - }, + "completion": null, "provider_used": { "mode": "agent", "provider": "gemini", @@ -2279,22 +2885,16 @@ "script_timing": null, "parallel_results": null, "output": null, - "started_at": "2026-06-04T18:46:21.635293Z", + "started_at": "2026-06-04T18:51:31.768420Z", "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, + "input_tokens": 177020, + "output_tokens": 3075, + "total_tokens": 567305, + "reasoning_tokens": 5079, + "cache_read_tokens": 382131, "cache_write_tokens": 0, - "total_usd_micros": 653753 + "total_usd_micros": 396235 }, "model": { "provider": "gemini", @@ -2318,7 +2918,7 @@ "kind": "native" }, "category": "write", - "invoked": false + "invoked": true }, { "name": "glob", @@ -2433,42 +3033,42 @@ "provider": "gemini", "model": "gemini-3.5-flash", "context_window_tokens": 1048576, - "input_tokens": 54068, - "usage_percent": 5.1563262939453125, + "input_tokens": 35766, + "usage_percent": 3.4109115600585938, "count_method": "response_usage_scaled_breakdown", "staleness": "live", - "generated_at": "2026-06-04T18:50:05.580551Z", - "event_seq": 307, + "generated_at": "2026-06-04T18:53:08.669654Z", + "event_seq": 458, "breakdown": [ { "category": "system_prompt", - "tokens": 1361, - "usage_percent": 0.12979507446289062 + "tokens": 1592, + "usage_percent": 0.151824951171875 }, { "category": "tools", - "tokens": 1422, - "usage_percent": 0.13561248779296875 + "tokens": 1643, + "usage_percent": 0.15668869018554688 }, { "category": "memory", - "tokens": 3850, - "usage_percent": 0.36716461181640625 + "tokens": 4449, + "usage_percent": 0.4242897033691406 }, { "category": "conversation", - "tokens": 47430, - "usage_percent": 4.523277282714844 + "tokens": 28076, + "usage_percent": 2.6775360107421875 }, { "category": "other", - "tokens": 5, - "usage_percent": 0.000476837158203125 + "tokens": 6, + "usage_percent": 0.00057220458984375 } ], "warnings": [] }, - "state": "succeeded" + "state": "running" }, "start@1": { "first_event_seq": 18, @@ -2715,214 +3315,37 @@ }, "state": "succeeded" }, - "verify_setup@1": { - "first_event_seq": 130, + "check_setup@1": { + "first_event_seq": 203, "prompt": null, "response": null, "completion": { "outcome": "succeeded", - "notes": "Stage completed: verify_setup", + "notes": "Conditional node evaluated: check_setup", "failure_reason": null, - "timestamp": "2026-06-04T18:45:58.680521Z" - }, - "provider_used": { - "mode": "agent", - "provider": "gemini", - "model": "gemini-3.5-flash" + "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": "2026-06-04T18:45:03.703250Z", - "handler": "agent", + "started_at": "2026-06-04T18:46:04.833398Z", + "handler": "conditional", "timing": { - "wall_time_ms": 54976, - "inference_time_ms": 33160, - "tool_time_ms": 20341, - "active_time_ms": 53501 + "wall_time_ms": 0, + "inference_time_ms": 0, + "tool_time_ms": 0, + "active_time_ms": 0 }, "usage": { - "input_tokens": 185923, - "output_tokens": 1136, - "total_tokens": 192171, - "reasoning_tokens": 1068, - "cache_read_tokens": 4044, - "cache_write_tokens": 0, - "total_usd_micros": 299326 - }, - "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": 13077, - "usage_percent": 1.2471199035644531, - "count_method": "response_usage_scaled_breakdown", - "staleness": "live", - "generated_at": "2026-06-04T18:45:58.603865Z", - "event_seq": 193, - "breakdown": [ - { - "category": "system_prompt", - "tokens": 1444, - "usage_percent": 0.1377105712890625 - }, - { - "category": "tools", - "tokens": 1522, - "usage_percent": 0.14514923095703125 - }, - { - "category": "memory", - "tokens": 4122, - "usage_percent": 0.39310455322265625 - }, - { - "category": "conversation", - "tokens": 5983, - "usage_percent": 0.5705833435058594 - }, - { - "category": "other", - "tokens": 6, - "usage_percent": 0.00057220458984375 - } - ], - "warnings": [] + "input_tokens": 0, + "output_tokens": 0, + "total_tokens": 0, + "reasoning_tokens": 0, + "cache_read_tokens": 0, + "cache_write_tokens": 0 }, "state": "succeeded" }, @@ -3136,6 +3559,462 @@ "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, + "response": null, + "completion": { + "outcome": "succeeded", + "notes": "Stage completed: verify_setup", + "failure_reason": null, + "timestamp": "2026-06-04T18:45:58.680521Z" + }, + "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": "2026-06-04T18:45:03.703250Z", + "handler": "agent", + "timing": { + "wall_time_ms": 54976, + "inference_time_ms": 33160, + "tool_time_ms": 20341, + "active_time_ms": 53501 + }, + "usage": { + "input_tokens": 185923, + "output_tokens": 1136, + "total_tokens": 192171, + "reasoning_tokens": 1068, + "cache_read_tokens": 4044, + "cache_write_tokens": 0, + "total_usd_micros": 299326 + }, + "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": 13077, + "usage_percent": 1.2471199035644531, + "count_method": "response_usage_scaled_breakdown", + "staleness": "live", + "generated_at": "2026-06-04T18:45:58.603865Z", + "event_seq": 193, + "breakdown": [ + { + "category": "system_prompt", + "tokens": 1444, + "usage_percent": 0.1377105712890625 + }, + { + "category": "tools", + "tokens": 1522, + "usage_percent": 0.14514923095703125 + }, + { + "category": "memory", + "tokens": 4122, + "usage_percent": 0.39310455322265625 + }, + { + "category": "conversation", + "tokens": 5983, + "usage_percent": 0.5705833435058594 + }, + { + "category": "other", + "tokens": 6, + "usage_percent": 0.00057220458984375 + } + ], + "warnings": [] + }, + "state": "succeeded" } } } \ No newline at end of file diff --git a/stages/007-verify_data@1/diff.patch b/stages/007-verify_data@1/diff.patch new file mode 100644 index 000000000..c09d6abca --- /dev/null +++ b/stages/007-verify_data@1/diff.patch @@ -0,0 +1,65 @@ +diff --git a/.ai/verify_data.md b/.ai/verify_data.md +new file mode 100644 +index 000000000..aa6dfcaf0 +--- /dev/null ++++ b/.ai/verify_data.md +@@ -0,0 +1,59 @@ ++# Data Structures and Core Game State Verification Findings ++ ++## 1. Overview and Command Execution ++We verified the core card game data structures, domain model classes, and test suite. The compilation and automated test run executed successfully: ++ ++```bash ++cd card-game-app && python3 -m pytest tests/ -v && python3 -m py_compile main.py src/card_game_tui/*.py ++``` ++ ++**Results:** ++- **Pytest:** 13/13 tests passed successfully. ++- **Python Compilation:** All files compiled cleanly without syntax or import errors. ++ ++--- ++ ++## 2. Core Game-State Types Defined ++ ++The following models and enum types are defined in `src/card_game_tui/domain.py`: ++ ++### Enums ++- **`Suit`**: Enum representing the four suits: `HEARTS` ("H"), `DIAMONDS` ("D"), `CLUBS` ("C"), and `SPADES` ("S"). Includes color classification (`RED` or `BLACK`) and UTF-8 symbols (`♥`, `♦`, `♣`, `♠`). ++- **`Rank`**: Enum representing ranks `ACE` (1) to `KING` (13) with appropriate alphanumeric labels (`A`, `J`, `Q`, `K`, or numeric string). ++- **`LocationType`**: Enum classifying board areas: `TABLEAU`, `FREECELL`, and `FOUNDATION`. ++ ++### Core Data Classes & Entities ++- **`Card`**: Frozen dataclass containing `suit` and `rank`, with custom representation `[Rank][Suit]` (e.g., `A♥`, `10♠`). ++- **`Position`**: Frozen dataclass packaging `LocationType` and `index` for explicit target and source identification during gameplay. ++- **`MoveRecord`**: Stores move history containing `from_pos`, `to_pos`, moving cards list (`cards`), and a list of nested, cascaded `auto_moves` resulting from auto-homing. ++- **`Deck`**: Builds a standard 52-card deck, supports deterministic random seeding, and deals cards into the 8 Tableau columns (four columns of 7 cards, four columns of 6 cards). ++- **`GameState`**: Main orchestrator of the board. Holds state for: ++ - 8 Tableau columns ++ - 4 Free cells ++ - Foundations mapped by Suit ++ - Undo/Redo history stacks ++ ++--- ++ ++## 3. Basic & Advanced Operations Verified ++ ++### Move Validation and Rules Execution ++- **Single Card Moves:** Correctly validates moving a card to free cells (if empty) and to foundations (Aces first, then sequential cards of the matching suit). ++- **Tableau Placement rules:** Strictly enforces alternating colors and descending ranks (e.g., moving a Red 8 onto a Black 9). ++- **Sequence/Multi-Card Moves:** Computes valid transit capacities based on the exact FreeCell Solitaire formula: ++ $$\text{Max Cards} = (1 + \text{empty\_freecells}) \times 2^{\text{transit\_empty\_tableaus}}$$ ++ Tested and verified that moves exceeding this threshold or violating sequential alternating order are rejected. ++ ++### Cascade Auto-Homing ++- Safely moves cards to foundations automatically after a successful player move. ++- Avoids preemptive/unsafe auto-homing: a card is only auto-homed if its rank does not exceed $N+1$, where $N$ is the rank of the highest cards of the *opposite* color already placed in foundations. This prevents burying cards that might still be needed as Tableau anchors. ++- Cascades until no further eligible cards can be home-bound. ++ ++### Command History (Undo / Redo) ++- Seamlessly reverts and reapplies moves. ++- Accurately tracks nested auto-homed moves so that undoing a player's move rolls back the cascading auto-homing moves in precise reverse order. ++ ++--- ++ ++## 4. Conclusion ++The data model is fully complete, mathematically sound, robustly tested, and perfectly ready for consumption by the TUI layer. diff --git a/stages/008-check_data@1/status.json b/stages/008-check_data@1/status.json new file mode 100644 index 000000000..538a3de71 --- /dev/null +++ b/stages/008-check_data@1/status.json @@ -0,0 +1,6 @@ +{ + "outcome": "succeeded", + "notes": "Conditional node evaluated: check_data", + "failure_reason": null, + "timestamp": "2026-06-04T18:51:24.388447Z" +} \ No newline at end of file diff --git a/stages/009-impl_logic@1/prompt.md b/stages/009-impl_logic@1/prompt.md new file mode 100644 index 000000000..477a2235b --- /dev/null +++ b/stages/009-impl_logic@1/prompt.md @@ -0,0 +1,37 @@ +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 + + +Read .ai/card-game-spec.md and the current card-game-app implementation. + +Implement the requested card game's rules: +- Initial setup/deal where applicable +- Move/action validation +- Auto-complete or helper actions where applicable +- Win/loss condition +- Undo + +Add tests for legal actions, illegal actions, win/loss detection, and edge cases. + +Run: +cd card-game-app && python3 -m pytest tests/ -v + +Write status.json at workspace root: outcome=succeeded if all tests pass and rules are implemented, outcome=failed with failure_reason otherwise. \ No newline at end of file diff --git a/stages/009-impl_logic@1/provider_used.json b/stages/009-impl_logic@1/provider_used.json new file mode 100644 index 000000000..0bb716dde --- /dev/null +++ b/stages/009-impl_logic@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/009-impl_logic@1/response.md b/stages/009-impl_logic@1/response.md new file mode 100644 index 000000000..e90943918 --- /dev/null +++ b/stages/009-impl_logic@1/response.md @@ -0,0 +1,12 @@ +I have successfully completed the tasks: + +1. **Reviewed Specifications & Game Rules:** Read `.ai/card-game-spec.md` and verified the domain models (`Card`, `Deck`, `LocationType`, `Position`, `MoveRecord`, and `GameState`). +2. **Implemented/Enhanced Game Rules:** + - **Initial setup/deal:** Fully handled inside `Deck` and `GameState` constructor, dealing 52 unique cards deterministically. + - **Move/action validation:** Fully covered for tableau, free cell, and foundation moves, including proper transit and capacity calculations based on empty free cells/tableaus. + - **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. + - **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. + - **Undo/Redo:** Reverts and reapplies both the primary action and any nested auto-homing steps. +3. **Tests:** Added comprehensive test cases to `tests/test_domain.py` to cover `check_loss` under various conditions (not lost, won, and fully locked/lost). +4. **Validation:** Ran all tests with `pytest` successfully, and confirmed that the `--smoke` test successfully initializes and validates the game. +5. **Status File:** Wrote `status.json` with `"outcome": "succeeded"`. \ No newline at end of file