mirror of
https://github.com/fabro-sh/fabro.git
synced 2026-10-06 02:48:25 +00:00
Fabro
parent
a728c0fc50
commit
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3 changed files with 533 additions and 36 deletions
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run.json
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run.json
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@ -752,15 +752,15 @@
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},
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"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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"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`.",
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"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\"`.",
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"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\"`.",
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"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.",
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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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"last_response": "I have successfully built and verified the terminal-based FreeCell Solitaire game in Python!\n\n### Summary of Completed Work\n1. **ASCII Art Card Rendering (`render.py` & `test_render.py`)**:\n - Imple",
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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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"response.impl_ui": "I have successfully built and verified the terminal-based FreeCell Solitaire game in Python!\n\n### Summary of Completed Work\n1. **ASCII Art Card Rendering (`render.py` & `test_render.py`)**:\n - Implemented high-fidelity ASCII card representation, rendering individual card ranks and suit symbols (`A♥`, `10♠`, etc.).\n - Handled empty foundation and free cell slot representation cleanly, maintaining accurate alignment.\n - Fully covered and verified these rendering helpers with robust unit tests.\n\n2. **Clean Curses TUI Layout & Interactivity (`tui.py` & `test_tui.py`)**:\n - Designed a symmetrical visual layout in an 80x24 space where every top slot (4 free cells and 4 foundations) maps perfectly to a Tableau column beneath it, making movement navigation extremely intuitive.\n - Handled color mappings dynamically for red (Hearts/Diamonds) and black (Spades/Clubs) cards.\n - Built an interactive selection system (`Space`/`Enter` to pick up/drop cards, `Escape` to cancel, and visual highlights using reverse video).\n - Supported multi-card selection/sequence moves, automatically checking and executing the maximum valid count under FreeCell rules by default, while allowing manual count adjustments using `[` and `]` or `-` and `+` keys.\n - Standardized hotkeys for **Undo** (`u`), **Redo** (`y`), **Restart** (`r` with same seed), **New Game** (`n` with new seed), and **Quit** (`q` with confirm dialog).\n - Abstracted screen logic from terminal sizes to prevent crashes or overflow and support terminal resizing safely.\n - Added robust headless unit tests validating the TUI controller's helpers (`find_longest_sequence`, `find_max_valid_count`, `get_current_pos`) without needing a live curses initialization.\n\n3. **Smoke Test Probe (`main.py`)**:\n - Enabled a non-interactive setup probe via `python3 main.py --smoke` that instantiates `GameState` with a deterministic seed, performs a series of mock movements, checks validations/win-states, and cleanly prints the status to stdout.\n\n4. **Validation Outcome**:\n - Compiled all Python files with zero syntax or static errors.\n - Ran the complete test suite (24 unit tests) successfully with zero failures.\n - Updated `status.json` with `\"outcome\": \"succeeded\"`.",
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||||
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||||
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"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",
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"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.",
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"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_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 -"
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"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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"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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"kind": "native"
|
||||
},
|
||||
"category": "write",
|
||||
"invoked": false
|
||||
"invoked": true
|
||||
}
|
||||
],
|
||||
"state": "failed"
|
||||
"context_window": {
|
||||
"provider": "gemini",
|
||||
"model": "gemini-3.5-flash",
|
||||
"context_window_tokens": 1048576,
|
||||
"input_tokens": 58063,
|
||||
"usage_percent": 5.537319183349609,
|
||||
"count_method": "response_usage_scaled_breakdown",
|
||||
"staleness": "live",
|
||||
"generated_at": "2026-06-04T19:49:58.072561Z",
|
||||
"event_seq": 773,
|
||||
"breakdown": [
|
||||
{
|
||||
"category": "system_prompt",
|
||||
"tokens": 1535,
|
||||
"usage_percent": 0.14638900756835938
|
||||
},
|
||||
{
|
||||
"category": "tools",
|
||||
"tokens": 1539,
|
||||
"usage_percent": 0.14677047729492188
|
||||
},
|
||||
{
|
||||
"category": "memory",
|
||||
"tokens": 4168,
|
||||
"usage_percent": 0.397491455078125
|
||||
},
|
||||
{
|
||||
"category": "conversation",
|
||||
"tokens": 50814,
|
||||
"usage_percent": 4.846000671386719
|
||||
},
|
||||
{
|
||||
"category": "other",
|
||||
"tokens": 7,
|
||||
"usage_percent": 0.000667572021484375
|
||||
}
|
||||
],
|
||||
"warnings": []
|
||||
},
|
||||
"state": "running"
|
||||
},
|
||||
"impl_data@1": {
|
||||
"first_event_seq": 211,
|
||||
|
|
|
|||
24
stages/012-impl_ui@1/response.md
Normal file
24
stages/012-impl_ui@1/response.md
Normal file
|
|
@ -0,0 +1,24 @@
|
|||
I have successfully built and verified the terminal-based FreeCell Solitaire game in Python!
|
||||
|
||||
### Summary of Completed Work
|
||||
1. **ASCII Art Card Rendering (`render.py` & `test_render.py`)**:
|
||||
- Implemented high-fidelity ASCII card representation, rendering individual card ranks and suit symbols (`A♥`, `10♠`, etc.).
|
||||
- Handled empty foundation and free cell slot representation cleanly, maintaining accurate alignment.
|
||||
- Fully covered and verified these rendering helpers with robust unit tests.
|
||||
|
||||
2. **Clean Curses TUI Layout & Interactivity (`tui.py` & `test_tui.py`)**:
|
||||
- Designed a symmetrical visual layout in an 80x24 space where every top slot (4 free cells and 4 foundations) maps perfectly to a Tableau column beneath it, making movement navigation extremely intuitive.
|
||||
- Handled color mappings dynamically for red (Hearts/Diamonds) and black (Spades/Clubs) cards.
|
||||
- Built an interactive selection system (`Space`/`Enter` to pick up/drop cards, `Escape` to cancel, and visual highlights using reverse video).
|
||||
- Supported multi-card selection/sequence moves, automatically checking and executing the maximum valid count under FreeCell rules by default, while allowing manual count adjustments using `[` and `]` or `-` and `+` keys.
|
||||
- Standardized hotkeys for **Undo** (`u`), **Redo** (`y`), **Restart** (`r` with same seed), **New Game** (`n` with new seed), and **Quit** (`q` with confirm dialog).
|
||||
- Abstracted screen logic from terminal sizes to prevent crashes or overflow and support terminal resizing safely.
|
||||
- Added robust headless unit tests validating the TUI controller's helpers (`find_longest_sequence`, `find_max_valid_count`, `get_current_pos`) without needing a live curses initialization.
|
||||
|
||||
3. **Smoke Test Probe (`main.py`)**:
|
||||
- Enabled a non-interactive setup probe via `python3 main.py --smoke` that instantiates `GameState` with a deterministic seed, performs a series of mock movements, checks validations/win-states, and cleanly prints the status to stdout.
|
||||
|
||||
4. **Validation Outcome**:
|
||||
- Compiled all Python files with zero syntax or static errors.
|
||||
- Ran the complete test suite (24 unit tests) successfully with zero failures.
|
||||
- Updated `status.json` with `"outcome": "succeeded"`.
|
||||
|
|
@ -1,6 +0,0 @@
|
|||
{
|
||||
"outcome": "failed",
|
||||
"notes": null,
|
||||
"failure_reason": "LLM error: Network error: error sending request for url (https://generativelanguage.googleapis.com/v1beta/models/gemini-3.5-flash:streamGenerateContent?alt=sse)",
|
||||
"timestamp": "2026-06-04T19:15:09.735463Z"
|
||||
}
|
||||
Loading…
Add table
Reference in a new issue