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run.json
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@ -760,7 +760,7 @@
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"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",
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"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 @@
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"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\"`.",
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"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.",
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"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.",
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"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"
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"notes": "Stage completed: verify_logic",
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102
stages/009-impl_logic@1/diff.patch Normal file
View file

@ -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

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stages/009-impl_logic@1/status.json Normal file
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@ -0,0 +1,6 @@
{
"outcome": "succeeded",
"notes": "Stage completed: impl_logic",
"failure_reason": null,
"timestamp": "2026-06-04T18:53:17.580236Z"
}

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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.

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stages/010-verify_logic@1/provider_used.json Normal file
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{
"mode": "agent",
"provider": "gemini",
"model": "gemini-3.5-flash"
}

15
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@ -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"`.