From 373313d90cbf6144e7feb81463ad9de31b797a7a Mon Sep 17 00:00:00 2001 From: Fabro Date: Thu, 4 Jun 2026 14:55:09 -0400 Subject: [PATCH] =?UTF-8?q?checkpoint=20=E2=9A=92=EF=B8=8F=20Generated=20w?= =?UTF-8?q?ith=20[Fabro](https://fabro.sh)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- run.json | 629 ++++++++++++++++++- stages/009-impl_logic@1/diff.patch | 102 +++ stages/009-impl_logic@1/status.json | 6 + stages/010-verify_logic@1/prompt.md | 34 + stages/010-verify_logic@1/provider_used.json | 5 + stages/010-verify_logic@1/response.md | 15 + 6 files changed, 780 insertions(+), 11 deletions(-) create mode 100644 stages/009-impl_logic@1/diff.patch create mode 100644 stages/009-impl_logic@1/status.json create mode 100644 stages/010-verify_logic@1/prompt.md create mode 100644 stages/010-verify_logic@1/provider_used.json create mode 100644 stages/010-verify_logic@1/response.md diff --git a/run.json b/run.json index b60e0397d..b3cc109e8 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": "2026-06-04T18:53:08.669829Z", + "last_event_at": "2026-06-04T18:55:08.811412Z", "pending_control": null, "checkpoints": [ { @@ -2290,9 +2290,9 @@ } }, { - "seq": 0, + "seq": 465, "checkpoint": { - "timestamp": "2026-06-04T18:53:17.580535Z", + "timestamp": "2026-06-04T18:53:24.436579Z", "current_node": "impl_logic", "completed_nodes": [ "start", @@ -2306,17 +2306,369 @@ "impl_logic" ], "node_retries": {}, + "context_values": { + "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, + "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\"`.", + "current_node": "impl_logic", + "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.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\"`." + }, + "node_outcomes": { + "check_setup": { + "status": "succeeded", + "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" + }, + "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_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\"`." + }, + "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_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 + } + }, + "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 + } + } + }, + "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": "2026-06-04T18:55:08.963102Z", + "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": { "thread.expand_spec.current_node": "impl_setup", "graph.retry_target": "impl_setup", - "internal.thread_id": "hard", + "internal.thread_id": "verify", "internal.retry_count.check_setup": 0, "internal.retry_count.verify_data": 0, "graph.default_max_retries": "3", - "current_node": "impl_logic", + "current_node": "verify_logic", "internal.fidelity": "compact", "graph.goal": "Build a terminal-based FreeCell solitaire game in Python", - "last_stage": "impl_logic", + "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`.", @@ -2325,17 +2677,19 @@ "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_data", + "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\"`.", "failure_class": "", - "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", + "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, @@ -2533,6 +2887,47 @@ "active_time_ms": 94252 } }, + "verify_logic": { + "status": "succeeded", + "context_updates": { + "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\"`.", + "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" + }, + "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 + } + }, "verify_setup": { "status": "succeeded", "context_updates": { @@ -2617,13 +3012,14 @@ } } }, - "next_node_id": "verify_logic", + "next_node_id": "check_logic", "node_visits": { "check_setup": 1, "start": 1, "impl_setup": 1, "verify_data": 1, "check_data": 1, + "verify_logic": 1, "expand_spec": 1, "impl_logic": 1, "impl_data": 1, @@ -2659,6 +3055,206 @@ "superseded_by": null, "pending_interviews": {}, "stages": { + "verify_logic@1": { + "first_event_seq": 468, + "prompt": null, + "response": null, + "completion": null, + "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", + "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": 2.9302597045898438 + }, + { + "category": "other", + "tokens": 6, + "usage_percent": 0.00057220458984375 + } + ], + "warnings": [] + }, + "state": "running" + }, "expand_spec@1": { "first_event_seq": 22, "prompt": null, @@ -2874,7 +3470,12 @@ "first_event_seq": 386, "prompt": null, "response": null, - "completion": 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", @@ -2887,6 +3488,12 @@ "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, @@ -3068,7 +3675,7 @@ ], "warnings": [] }, - "state": "running" + "state": "succeeded" }, "start@1": { "first_event_seq": 18, diff --git a/stages/009-impl_logic@1/diff.patch b/stages/009-impl_logic@1/diff.patch new file mode 100644 index 000000000..c87c6f8bb --- /dev/null +++ b/stages/009-impl_logic@1/diff.patch @@ -0,0 +1,102 @@ +diff --git a/card-game-app/src/card_game_tui/domain.py b/card-game-app/src/card_game_tui/domain.py +index fe733cef3..f1dd717f2 100644 +--- a/card-game-app/src/card_game_tui/domain.py ++++ b/card-game-app/src/card_game_tui/domain.py +@@ -376,3 +376,51 @@ class GameState: + def check_win(self) -> bool: + """Returns True if all 52 cards are in the Foundations.""" + return all(len(self.foundations[suit]) == 13 for suit in Suit) ++ ++ def check_loss(self) -> bool: ++ """ ++ Returns True if the game is lost (i.e. not won and no legal moves can be made). ++ """ ++ if self.check_win(): ++ return False ++ ++ # Check all possible moves from freecells ++ for i in range(4): ++ if self.freecells[i] is not None: ++ from_pos = Position(LocationType.FREECELL, i) ++ # To tableau ++ for j in range(8): ++ if self.validate_move(from_pos, Position(LocationType.TABLEAU, j), 1): ++ return False ++ # To other freecells ++ for j in range(4): ++ if i != j and self.validate_move(from_pos, Position(LocationType.FREECELL, j), 1): ++ return False ++ # To foundations ++ for j in range(4): ++ if self.validate_move(from_pos, Position(LocationType.FOUNDATION, j), 1): ++ return False ++ ++ # Check all possible moves from tableaus ++ for i in range(8): ++ col_len = len(self.tableaus[i]) ++ if col_len > 0: ++ from_pos = Position(LocationType.TABLEAU, i) ++ # Check different move counts ++ for count in range(1, col_len + 1): ++ # To other tableaus ++ for j in range(8): ++ if i != j and self.validate_move(from_pos, Position(LocationType.TABLEAU, j), count): ++ return False ++ # To freecells ++ if count == 1: ++ for j in range(4): ++ if self.validate_move(from_pos, Position(LocationType.FREECELL, j), 1): ++ return False ++ # To foundations ++ if count == 1: ++ for j in range(4): ++ if self.validate_move(from_pos, Position(LocationType.FOUNDATION, j), 1): ++ return False ++ ++ return True +diff --git a/card-game-app/tests/test_domain.py b/card-game-app/tests/test_domain.py +index 0fa4360ed..c507ddc8a 100644 +--- a/card-game-app/tests/test_domain.py ++++ b/card-game-app/tests/test_domain.py +@@ -347,3 +347,41 @@ def test_win_detection(): + # Remove one card + state.foundations[Suit.HEARTS].pop() + assert state.check_win() is False ++ ++def test_check_loss_not_lost(): ++ # A standard freshly-dealt game should not be in a loss state (usually has legal moves) ++ state = GameState() ++ assert state.check_loss() is False ++ ++def test_check_loss_won(): ++ # A won game is not lost ++ state = GameState() ++ for suit in Suit: ++ state.foundations[suit] = [Card(suit, rank) for rank in Rank] ++ assert state.check_loss() is False ++ ++def test_check_loss_is_lost(): ++ state = GameState() ++ # Clear tableaus and freecells, and foundations ++ state.freecells = [None] * 4 ++ state.tableaus = [[] for _ in range(8)] ++ state.foundations = {suit: [] for suit in Suit} ++ ++ # Lock everything: ++ # Fill all 4 freecells with Kings of Diamonds ++ state.freecells = [Card(Suit.DIAMONDS, Rank.KING)] * 4 ++ ++ # Fill all 8 tableaus with at least one King of Diamonds ++ for i in range(8): ++ state.tableaus[i] = [Card(Suit.DIAMONDS, Rank.KING)] ++ ++ # Now there are: ++ # - No empty tableaus ++ # - No empty freecells ++ # - No Aces on top of tableaus or in freecells (all are Kings of Diamonds) ++ # So: ++ # - Cannot move to freecells (all occupied) ++ # - Cannot move to foundations (only Kings, no Aces) ++ # - Cannot move to tableaus (all top cards are King of Diamonds, can't build King on King, and no empty columns) ++ # This state should be a lost/locked state! ++ assert state.check_loss() is True diff --git a/stages/009-impl_logic@1/status.json b/stages/009-impl_logic@1/status.json new file mode 100644 index 000000000..5e583e187 --- /dev/null +++ b/stages/009-impl_logic@1/status.json @@ -0,0 +1,6 @@ +{ + "outcome": "succeeded", + "notes": "Stage completed: impl_logic", + "failure_reason": null, + "timestamp": "2026-06-04T18:53:17.580236Z" +} \ No newline at end of file diff --git a/stages/010-verify_logic@1/prompt.md b/stages/010-verify_logic@1/prompt.md new file mode 100644 index 000000000..ee96737f6 --- /dev/null +++ b/stages/010-verify_logic@1/prompt.md @@ -0,0 +1,34 @@ +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 the card game logic. + +Run: +cd card-game-app && python3 -m pytest tests/ -v + +Check move/action validation, win/loss detection, and undo. + +Write findings to .ai/verify_logic.md. +Write status.json at workspace root: outcome=succeeded if all checks pass, outcome=failed with failure_reason otherwise. \ No newline at end of file diff --git a/stages/010-verify_logic@1/provider_used.json b/stages/010-verify_logic@1/provider_used.json new file mode 100644 index 000000000..0bb716dde --- /dev/null +++ b/stages/010-verify_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/010-verify_logic@1/response.md b/stages/010-verify_logic@1/response.md new file mode 100644 index 000000000..2a6a3822a --- /dev/null +++ b/stages/010-verify_logic@1/response.md @@ -0,0 +1,15 @@ +I have verified the FreeCell card game logic and documented the findings. + +### Summary of Actions Taken: +1. **Analyzed Code & Rules Implementation**: + - 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. + - 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). + - 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. + - Verified the undo/redo system and its correct handling of nested auto-homing steps rolled back in reverse order. +2. **Executed Verification Tests**: + - Ran `cd card-game-app && python3 -m pytest tests/ -v` and confirmed all 16 tests passed. + - Ran a compilation check: `python3 -m py_compile main.py src/card_game_tui/*.py` to verify error-free imports and compilation. + - Ran the main game smoke test: `python3 main.py --smoke` to confirm execution of initial moves and win check. +3. **Wrote Documentation and Status**: + - Created the report in `.ai/verify_logic.md`. + - Updated `status.json` with `"outcome": "succeeded"`. \ No newline at end of file