diff --git a/run.json b/run.json index aa5dc1911..f476dd2d4 100644 --- a/run.json +++ b/run.json @@ -354,7 +354,7 @@ "kind": "running" }, "status_updated_at": "2026-06-04T18:04:25.613144Z", - "last_event_at": "2026-06-04T18:05:16.771846Z", + "last_event_at": "2026-06-04T18:09:21.588939Z", "pending_control": null, "checkpoints": [ { @@ -396,9 +396,9 @@ "diff": {} }, { - "seq": 0, + "seq": 62, "checkpoint": { - "timestamp": "2026-06-04T18:05:19.277371Z", + "timestamp": "2026-06-04T18:05:33.736477Z", "current_node": "plan_app", "completed_nodes": [ "start", @@ -406,25 +406,25 @@ ], "node_retries": {}, "context_values": { - "internal.work_dir": "/home/daytona/workspace/fabro", - "internal.run_id": "01KT9WWK697WSHVT3R065A4WMT", - "current_node": "plan_app", - "last_response": "I have successfully created and documented a concise implementation plan for a Python Klondike Solitaire terminal-based game (with standard-library `curses` TUI).\n\nThe plan has been written to:\n* **`.", - "last_stage": "plan_app", - "internal.fidelity": "compact", - "internal.retry_count.start": 0, - "internal.retry_count.plan_app": 0, - "failure_class": "", "internal.node_visit_count": 1, - "graph.retry_target": "implement_app", - "graph.default_max_retries": "2", - "outcome": "succeeded", - "failure_signature": "", - "internal.thread_id": "start", - "response.plan_app": "I have successfully created and documented a concise implementation plan for a Python Klondike Solitaire terminal-based game (with standard-library `curses` TUI).\n\nThe plan has been written to:\n* **`.ai/solitaire-fast-plan.md`**\n\nAnd the required status file has been written to the workspace root:\n* **`status.json`** (`{\"outcome\": \"succeeded\"}`)", "graph.goal": "Quickly build a terminal-based Klondike solitaire game in Python with a curses TUI", + "current_node": "plan_app", + "thread.start.current_node": "plan_app", + "failure_signature": "", "graph.rankdir": "LR", - "thread.start.current_node": "plan_app" + "internal.retry_count.start": 0, + "last_stage": "plan_app", + "last_response": "I have successfully created and documented a concise implementation plan for a Python Klondike Solitaire terminal-based game (with standard-library `curses` TUI).\n\nThe plan has been written to:\n* **`.", + "response.plan_app": "I have successfully created and documented a concise implementation plan for a Python Klondike Solitaire terminal-based game (with standard-library `curses` TUI).\n\nThe plan has been written to:\n* **`.ai/solitaire-fast-plan.md`**\n\nAnd the required status file has been written to the workspace root:\n* **`status.json`** (`{\"outcome\": \"succeeded\"}`)", + "internal.retry_count.plan_app": 0, + "graph.retry_target": "implement_app", + "internal.run_id": "01KT9WWK697WSHVT3R065A4WMT", + "internal.work_dir": "/home/daytona/workspace/fabro", + "internal.fidelity": "compact", + "graph.default_max_retries": "2", + "internal.thread_id": "start", + "outcome": "succeeded", + "failure_class": "" }, "node_outcomes": { "plan_app": { @@ -474,9 +474,156 @@ } }, "next_node_id": "implement_app", + "git_commit_sha": "a4e44c6b2c10d9df90b04e263b4f89b96bb9f367", + "node_visits": { + "plan_app": 1, + "start": 1 + } + }, + "diff": { + "patch": "diff --git a/.ai/solitaire-fast-plan.md b/.ai/solitaire-fast-plan.md\nnew file mode 100644\nindex 000000000..9eeab8747\n--- /dev/null\n+++ b/.ai/solitaire-fast-plan.md\n@@ -0,0 +1,144 @@\n+# Implementation Plan: Python Klondike Solitaire Curses TUI\n+\n+This document outlines the concise plan to implement a terminal-based Klondike Solitaire game in Python using the standard library `curses` module, with full game logic, undo history, win detection, a non-interactive smoke test suite, and a unit test suite using `pytest`.\n+\n+All files will reside under the directory `solitaire-app/`.\n+\n+---\n+\n+## 1. Directory Structure\n+\n+```text\n+solitaire-app/\n+├── requirements.txt # Project dependencies (pytest)\n+├── main.py # Application entry point (handles --smoke and launches TUI)\n+├── game_logic.py # Complete pure Python engine for card and game state management\n+├── tui.py # Curses-based terminal interface layout, input handler, and renderer\n+└── tests/\n+ └── test_game_logic.py # Unit tests for game rules, moves, and state transitions\n+```\n+\n+---\n+\n+## 2. Technical Stack & Requirements\n+\n+- **Language**: Python 3.11+\n+- **UI Library**: Standard library `curses` (fully playable TUI with color support, keyboard controls, and layout adaptability)\n+- **Testing**: `pytest` for rules engine verification\n+- **E2E / Demo Verification**: `python3 main.py --smoke` runs a non-interactive automated smoke test of the game logic and exits 0 on success.\n+\n+---\n+\n+## 3. Game Engine (game_logic.py)\n+\n+The game engine will be completely decoupled from the UI layer to ensure reliable testing.\n+\n+### Key Models\n+\n+- **`Card`**:\n+ - `suit`: One of `♠`, `♥`, `♦`, `♣` (or string representation)\n+ - `rank`: Integer from 1 (Ace) to 13 (King)\n+ - `face_up`: Boolean\n+ - `color`: Derived property (Red for ♥/♦, Black for ♠/♣)\n+\n+- **`GameState`**:\n+ - `stock`: List of face-down cards\n+ - `waste`: List of drawn cards (only the top card is visible and playable)\n+ - `tableau`: List of 7 columns, each being a list of `Card`s\n+ - `foundations`: Dict with 4 keys (suits/indices) pointing to lists of card sequences (A to K)\n+ - `undo_stack`: Stack of serialized or deep-copied previous states\n+\n+### Core Operations & Rules (Draw-One Klondike)\n+\n+1. **Initialization**:\n+ - Shuffle a standard 52-card deck.\n+ - Deal cards to the 7 tableau columns (Column $i$ gets $i$ cards; top card is face_up, others face_down).\n+ - Remaining cards go to the `stock` pile.\n+2. **Draw / Recycle**:\n+ - `draw_card()`: Move 1 card from `stock` to `waste` (face-up).\n+ - If `stock` is empty, recycle `waste` back to `stock` by reversing and flipping them face-down.\n+3. **Move Validation & Execution**:\n+ - **Tableau to Tableau**: A card (or face-up stack) can move to another column if the bottom-most card of the moving stack is 1 rank lower and of the opposite color of the target column's top card. An empty tableau column can only accept a King (rank 13).\n+ - **Waste to Tableau**: Top of waste can move to a tableau column following the same color/rank rules.\n+ - **Waste/Tableau to Foundation**: Cards can move to foundations. Foundations build up from Ace (1) to King (13) by same suit.\n+ - **Auto-Reveal**: If a move exposes a face-down card at the top of a tableau column, it is automatically flipped face-up.\n+4. **Undo**:\n+ - Push the full state to `undo_stack` before any mutating game action.\n+ - `undo()` pops from `undo_stack` and restores the game state.\n+5. **Win Detection**:\n+ - `check_win()` returns `True` when all 4 foundations contain 13 cards (or foundations total 52 cards).\n+\n+---\n+\n+## 4. TUI Layout & Interactions (tui.py)\n+\n+The Curses TUI will draw a clean grid layout of the game board.\n+\n+### Visual Representation\n+\n+```text\n+ [Stock] [Waste] [F1] [F2] [F3] [F4]\n+ [#] [ ♦Q ] [ ] [ ] [ ] [ ]\n+\n+ [Col 1] [Col 2] [Col 3] [Col 4] [Col 5] [Col 6] [Col 7]\n+ ♠K [#] [#] [#] [#] [#] [#]\n+ ♥J [#] [#] [#] [#] [#]\n+ ♣10 [#] [#] [#] [#]\n+ ♦9 [#] [#] [#]\n+ ♠8 [#] [#]\n+ ♥7 [#]\n+ ♣6\n+```\n+\n+### Color Setup\n+- Red cards (♥, ♦) drawn with red text foreground.\n+- Black cards (♠, ♣) drawn with black or white/blue text.\n+- Focus highlights (selected cards/piles) drawn with distinct background inversion or terminal style.\n+\n+### Control Scheme\n+\n+To keep the implementation simple, intuitive, and responsive, the TUI will support a cursor/selection-based movement system:\n+- **Arrow Keys** or **WASD**: Move cursor between Stock, Waste, Foundations (1-4), and Tableau Piles (1-7).\n+- **Space / Enter**: \n+ - If cursor is on Stock: Draw card.\n+ - If cursor is on a valid card source (Tableau, Waste): Select card/stack.\n+ - If cursor is on a valid card destination (Tableau, Foundation): Move selected card/stack to this location.\n+- **'u' Key**: Undo last action.\n+- **'r' Key**: Restart a new game.\n+- **'q' Key**: Quit game.\n+\n+---\n+\n+## 5. Non-Interactive Demo Mode (`--smoke`)\n+\n+In `main.py`, if `--smoke` argument is passed, the script will execute a headless simulation:\n+1. Initialize a deterministic or random game state.\n+2. Verify stock drawing and recycling logic.\n+3. Programmatically execute a valid move (e.g., set up a mock board with a valid move, run it, and assert the state change).\n+4. Verify `undo` reverts the mock state change.\n+5. Create a nearly complete foundation set, execute the final winning move, and assert that `check_win()` detects the win.\n+6. Print a clean summary of actions taken and exit with code 0 on success.\n+\n+---\n+\n+## 6. Testing (tests/test_game_logic.py)\n+\n+We will use `pytest` to test rules and operations. Tests will include:\n+- `test_game_initialization`: Proper card counts, correct dealing distribution.\n+- `test_draw_and_recycle`: Correct handling of stock depletion and recycling.\n+- `test_legal_tableau_moves`: Rules on opposite color and rank subtraction.\n+- `test_foundation_moves`: Building same-suit foundation piles from A to K.\n+- `test_invalid_moves`: Rejection of illegal moves (e.g., King on non-empty, wrong colors, wrong order).\n+- `test_undo`: Multi-step undo stability.\n+- `test_win_detection`: Assuring win status updates correctly on foundation completion.\n+\n+---\n+\n+## 7. Plan Execution Steps\n+\n+1. **Step 1**: Create folder `solitaire-app/` and establish `requirements.txt`.\n+2. **Step 2**: Implement the engine in `solitaire-app/game_logic.py`.\n+3. **Step 3**: Implement unit tests in `solitaire-app/tests/test_game_logic.py` and run them with `pytest` to verify absolute correctness of the core game engine.\n+4. **Step 4**: Implement the non-interactive demo code in `solitaire-app/main.py` controlled by the `--smoke` flag.\n+5. **Step 5**: Implement the Curses UI layout and loop in `solitaire-app/tui.py` and hook it into `main.py`.\n+6. **Step 6**: Validate the entire application interactive interface and verify `--smoke` demo exits successfully.\ndiff --git a/status.json b/status.json\nnew file mode 100644\nindex 000000000..905fb370f\n--- /dev/null\n+++ b/status.json\n@@ -0,0 +1,3 @@\n+{\n+ \"outcome\": \"succeeded\"\n+}\n", + "summary": { + "files_changed": 2, + "additions": 147, + "deletions": 0 + } + } + }, + { + "seq": 0, + "checkpoint": { + "timestamp": "2026-06-04T18:09:29.206643Z", + "current_node": "implement_app", + "completed_nodes": [ + "start", + "plan_app", + "implement_app" + ], + "node_retries": {}, + "context_values": { + "internal.work_dir": "/home/daytona/workspace/fabro", + "response.implement_app": "I have successfully implemented the terminal-based Klondike solitaire game in Python with a curses TUI inside the `solitaire-app/` directory.\n\n### Summary of Completed Work\n\n1. **Pure Python Game Engine (`solitaire-app/src/solitaire_tui/game_logic.py`)**:\n - Implemented standard Solitaire rule-checking, deck generation, and shuffling.\n - Handled drawing cards from stock to waste and recycling when stock is exhausted.\n - Managed state snapshots to support multi-step **Undo**.\n - Built robust move validation for tableau-to-tableau, waste-to-tableau, waste-to-foundation, tableau-to-foundation, and foundation-to-tableau moves.\n - Programmed win-condition checking (all foundations containing 13 cards).\n\n2. **Visual Terminal Interface (`solitaire-app/src/solitaire_tui/tui.py`)**:\n - Configured robust curses initialization with custom colors (including a custom highlight pair to preserve card color when under cursor/selected).\n - Designed a clear, compact terminal grid representation for Stock, Waste, Foundations, and overlapping Tableau columns.\n - Programmed grid navigation controls using Arrow Keys or WASD.\n - Implemented selection and visual dragging (highlighting multi-card stacks when moving columns).\n\n3. **Application Entry Point (`solitaire-app/main.py`)**:\n - Accepts `--smoke` mode, executing a non-interactive simulation of stock drawing, recycling, valid move validations, undos, and win checks, printing a text snapshot and exiting cleanly.\n - Otherwise starts the interactive game via curses.\n\n4. **Unit Tests & Integration Testing (`solitaire-app/tests/test_game_logic.py`)**:\n - Fully covered game rules, dealing, draw & recycle behavior, tableau-to-tableau, King-to-empty, foundations building, and multi-step undo.\n - Run via `pytest`.\n\n5. **`status.json`**:\n - Recorded `{\"outcome\": \"succeeded\"}` at the workspace root as requested.", + "internal.run_id": "01KT9WWK697WSHVT3R065A4WMT", + "current_node": "implement_app", + "last_response": "I have successfully implemented the terminal-based Klondike solitaire game in Python with a curses TUI inside the `solitaire-app/` directory.\n\n### Summary of Completed Work\n\n1. **Pure Python Game Engi", + "last_stage": "implement_app", + "internal.fidelity": "compact", + "internal.retry_count.start": 0, + "internal.retry_count.plan_app": 0, + "thread.hard.current_node": "implement_app", + "failure_class": "", + "internal.node_visit_count": 1, + "graph.retry_target": "implement_app", + "graph.default_max_retries": "2", + "outcome": "succeeded", + "failure_signature": "", + "internal.thread_id": "hard", + "response.plan_app": "I have successfully created and documented a concise implementation plan for a Python Klondike Solitaire terminal-based game (with standard-library `curses` TUI).\n\nThe plan has been written to:\n* **`.ai/solitaire-fast-plan.md`**\n\nAnd the required status file has been written to the workspace root:\n* **`status.json`** (`{\"outcome\": \"succeeded\"}`)", + "internal.retry_count.implement_app": 0, + "graph.goal": "Quickly build a terminal-based Klondike solitaire game in Python with a curses TUI", + "graph.rankdir": "LR", + "thread.start.current_node": "plan_app" + }, + "node_outcomes": { + "plan_app": { + "status": "succeeded", + "context_updates": { + "last_response": "I have successfully created and documented a concise implementation plan for a Python Klondike Solitaire terminal-based game (with standard-library `curses` TUI).\n\nThe plan has been written to:\n* **`.", + "last_stage": "plan_app", + "response.plan_app": "I have successfully created and documented a concise implementation plan for a Python Klondike Solitaire terminal-based game (with standard-library `curses` TUI).\n\nThe plan has been written to:\n* **`.ai/solitaire-fast-plan.md`**\n\nAnd the required status file has been written to the workspace root:\n* **`status.json`** (`{\"outcome\": \"succeeded\"}`)" + }, + "notes": "Stage completed: plan_app", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 61880, + "output_tokens": 2291, + "reasoning_tokens": 2326, + "cache_read_tokens": 89431, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 147787 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/.ai/solitaire-fast-plan.md", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 38034, + "tool_time_ms": 9982, + "active_time_ms": 48016 + } + }, + "implement_app": { + "status": "succeeded", + "context_updates": { + "last_response": "I have successfully implemented the terminal-based Klondike solitaire game in Python with a curses TUI inside the `solitaire-app/` directory.\n\n### Summary of Completed Work\n\n1. **Pure Python Game Engi", + "last_stage": "implement_app", + "response.implement_app": "I have successfully implemented the terminal-based Klondike solitaire game in Python with a curses TUI inside the `solitaire-app/` directory.\n\n### Summary of Completed Work\n\n1. **Pure Python Game Engine (`solitaire-app/src/solitaire_tui/game_logic.py`)**:\n - Implemented standard Solitaire rule-checking, deck generation, and shuffling.\n - Handled drawing cards from stock to waste and recycling when stock is exhausted.\n - Managed state snapshots to support multi-step **Undo**.\n - Built robust move validation for tableau-to-tableau, waste-to-tableau, waste-to-foundation, tableau-to-foundation, and foundation-to-tableau moves.\n - Programmed win-condition checking (all foundations containing 13 cards).\n\n2. **Visual Terminal Interface (`solitaire-app/src/solitaire_tui/tui.py`)**:\n - Configured robust curses initialization with custom colors (including a custom highlight pair to preserve card color when under cursor/selected).\n - Designed a clear, compact terminal grid representation for Stock, Waste, Foundations, and overlapping Tableau columns.\n - Programmed grid navigation controls using Arrow Keys or WASD.\n - Implemented selection and visual dragging (highlighting multi-card stacks when moving columns).\n\n3. **Application Entry Point (`solitaire-app/main.py`)**:\n - Accepts `--smoke` mode, executing a non-interactive simulation of stock drawing, recycling, valid move validations, undos, and win checks, printing a text snapshot and exiting cleanly.\n - Otherwise starts the interactive game via curses.\n\n4. **Unit Tests & Integration Testing (`solitaire-app/tests/test_game_logic.py`)**:\n - Fully covered game rules, dealing, draw & recycle behavior, tableau-to-tableau, King-to-empty, foundations building, and multi-step undo.\n - Run via `pytest`.\n\n5. **`status.json`**:\n - Recorded `{\"outcome\": \"succeeded\"}` at the workspace root as requested." + }, + "notes": "Stage completed: implement_app", + "usage": { + "input": { + "usage": { + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "tokens": { + "input_tokens": 177744, + "output_tokens": 11441, + "reasoning_tokens": 19676, + "cache_read_tokens": 658671, + "cache_write_tokens": 0 + } + }, + "facts": { + "algorithm": "gemini", + "storage_segments": [] + } + }, + "total_usd_micros": 645469 + }, + "files_touched": [ + "/home/daytona/workspace/fabro/solitaire-app/README.md", + "/home/daytona/workspace/fabro/solitaire-app/main.py", + "/home/daytona/workspace/fabro/solitaire-app/pyproject.toml", + "/home/daytona/workspace/fabro/solitaire-app/src/solitaire_tui/__init__.py", + "/home/daytona/workspace/fabro/solitaire-app/src/solitaire_tui/game_logic.py", + "/home/daytona/workspace/fabro/solitaire-app/src/solitaire_tui/tui.py", + "/home/daytona/workspace/fabro/solitaire-app/tests/__init__.py", + "/home/daytona/workspace/fabro/solitaire-app/tests/test_game_logic.py", + "/home/daytona/workspace/fabro/status.json" + ], + "timing": { + "wall_time_ms": 0, + "inference_time_ms": 198637, + "tool_time_ms": 36111, + "active_time_ms": 234748 + } + }, + "start": { + "status": "succeeded", + "usage": null + } + }, + "next_node_id": "verify_app", "node_visits": { "start": 1, - "plan_app": 1 + "plan_app": 1, + "implement_app": 1 } }, "diff": {} @@ -542,8 +689,8 @@ }, "state": "succeeded" }, - "plan_app@1": { - "first_event_seq": 22, + "implement_app@1": { + "first_event_seq": 65, "prompt": null, "response": null, "completion": null, @@ -557,14 +704,14 @@ "script_timing": null, "parallel_results": null, "output": null, - "started_at": "2026-06-04T18:04:28.970406Z", + "started_at": "2026-06-04T18:05:33.736641Z", "handler": "agent", "usage": { - "input_tokens": 55245, - "output_tokens": 2202, - "total_tokens": 132926, - "reasoning_tokens": 2309, - "cache_read_tokens": 73170, + "input_tokens": 173841, + "output_tokens": 10986, + "total_tokens": 814333, + "reasoning_tokens": 19650, + "cache_read_tokens": 609856, "cache_write_tokens": 0 }, "model": { @@ -572,6 +719,217 @@ "model_id": "gemini-3.5-flash" }, "permission_level": "full", + "agent_tools": [ + { + "name": "close_agent", + "description": "Close a running subagent that is no longer needed.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "edit_file", + "description": "Edit a file by replacing an exact string. The old_string must be an exact match and unique unless replace_all is true; include surrounding context when needed. Read the file first and preserve existing indentation.", + "source": { + "kind": "native" + }, + "category": "write", + "invoked": true + }, + { + "name": "glob", + "description": "Find files by file names using a glob pattern. Use path to choose the search root. Prefer this over shell find or ls when locating repository files.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "grep", + "description": "Search file contents with a regex pattern. Use path to choose the search root, glob_filter to limit matching files, case_insensitive for case folding, and max_results to cap output.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": false + }, + { + "name": "list_dir", + "description": "List directory contents with depth control", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "read_file", + "description": "Read files before editing them. Returns line-numbered text and supports offset/limit for large files. Use this instead of shell cat, head, tail, or sed when inspecting repository files.", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": true + }, + { + "name": "read_many_files", + "description": "Read multiple files at once", + "source": { + "kind": "native" + }, + "category": "read", + "invoked": false + }, + { + "name": "send_input", + "description": "Send a follow-up message to a running subagent when new information or corrected instructions are needed.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "shell", + "description": "Execute shell commands for terminal operations, package managers, tests and builds. Use dedicated tools for file reads, file edits, filename searches, and content searches. Provide timeout_ms for long-running commands.", + "source": { + "kind": "native" + }, + "category": "shell", + "invoked": true + }, + { + "name": "spawn_agent", + "description": "Spawn a subagent for independent work or context isolation. Use it for tasks that can proceed separately, and avoid duplicating the same work in the parent session.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "wait", + "description": "Wait for a subagent to complete, then use the result to synthesize the outcome for the user.", + "source": { + "kind": "native" + }, + "category": "subagent", + "invoked": false + }, + { + "name": "web_fetch", + "description": "Fetch content from a URL that starts with http:// or https://. Pass a prompt to extract specific information or summarize the page; omit prompt to return the page content.", + "source": { + "kind": "native" + }, + "category": "other", + "invoked": false + }, + { + "name": "web_search", + "description": "Search the web using Brave Search when current external information is needed. Returns result titles, URLs, and descriptions; use web_fetch for a specific URL.", + "source": { + "kind": "native" + }, + "category": "other", + "invoked": false + }, + { + "name": "write_file", + "description": "Create new files, or overwrite an existing file only when replacement is explicitly intended. Prefer edit_file for targeted changes to existing files because write_file overwrites the full file content.", + "source": { + "kind": "native" + }, + "category": "write", + "invoked": true + } + ], + "context_window": { + "provider": "gemini", + "model": "gemini-3.5-flash", + "context_window_tokens": 1048576, + "input_tokens": 52520, + "usage_percent": 5.008697509765625, + "count_method": "response_usage_scaled_breakdown", + "staleness": "live", + "generated_at": "2026-06-04T18:09:16.492717Z", + "event_seq": 151, + "breakdown": [ + { + "category": "system_prompt", + "tokens": 1373, + "usage_percent": 0.13093948364257812 + }, + { + "category": "tools", + "tokens": 1452, + "usage_percent": 0.1384735107421875 + }, + { + "category": "memory", + "tokens": 3930, + "usage_percent": 0.37479400634765625 + }, + { + "category": "conversation", + "tokens": 45759, + "usage_percent": 4.363918304443359 + }, + { + "category": "other", + "tokens": 6, + "usage_percent": 0.00057220458984375 + } + ], + "warnings": [] + }, + "state": "running" + }, + "plan_app@1": { + "first_event_seq": 22, + "prompt": null, + "response": null, + "completion": { + "outcome": "succeeded", + "notes": "Stage completed: plan_app", + "failure_reason": null, + "timestamp": "2026-06-04T18:05:19.277283Z" + }, + "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": "2026-06-04T18:04:28.970406Z", + "handler": "agent", + "timing": { + "wall_time_ms": 50306, + "inference_time_ms": 38034, + "tool_time_ms": 9982, + "active_time_ms": 48016 + }, + "usage": { + "input_tokens": 61880, + "output_tokens": 2291, + "total_tokens": 155928, + "reasoning_tokens": 2326, + "cache_read_tokens": 89431, + "cache_write_tokens": 0, + "total_usd_micros": 147787 + }, + "model": { + "provider": "gemini", + "model_id": "gemini-3.5-flash" + }, + "permission_level": "full", "agent_tools": [ { "name": "close_agent", @@ -704,42 +1062,42 @@ "provider": "gemini", "model": "gemini-3.5-flash", "context_window_tokens": 1048576, - "input_tokens": 22682, - "usage_percent": 2.1631240844726562, + "input_tokens": 22896, + "usage_percent": 2.18353271484375, "count_method": "response_usage_scaled_breakdown", "staleness": "live", - "generated_at": "2026-06-04T18:05:16.527973Z", - "event_seq": 51, + "generated_at": "2026-06-04T18:05:19.276915Z", + "event_seq": 55, "breakdown": [ { "category": "system_prompt", - "tokens": 1475, - "usage_percent": 0.14066696166992188 + "tokens": 1471, + "usage_percent": 0.14028549194335938 }, { "category": "tools", - "tokens": 1560, - "usage_percent": 0.148773193359375 + "tokens": 1556, + "usage_percent": 0.1483917236328125 }, { "category": "memory", - "tokens": 4224, - "usage_percent": 0.40283203125 + "tokens": 4214, + "usage_percent": 0.40187835693359375 }, { "category": "conversation", - "tokens": 15417, - "usage_percent": 1.4702796936035156 + "tokens": 15648, + "usage_percent": 1.4923095703125 }, { "category": "other", - "tokens": 6, - "usage_percent": 0.00057220458984375 + "tokens": 7, + "usage_percent": 0.000667572021484375 } ], "warnings": [] }, - "state": "running" + "state": "succeeded" } } } \ No newline at end of file diff --git a/stages/002-plan_app@1/diff.patch b/stages/002-plan_app@1/diff.patch new file mode 100644 index 000000000..f81afb961 --- /dev/null +++ b/stages/002-plan_app@1/diff.patch @@ -0,0 +1,159 @@ +diff --git a/.ai/solitaire-fast-plan.md b/.ai/solitaire-fast-plan.md +new file mode 100644 +index 000000000..9eeab8747 +--- /dev/null ++++ b/.ai/solitaire-fast-plan.md +@@ -0,0 +1,144 @@ ++# Implementation Plan: Python Klondike Solitaire Curses TUI ++ ++This document outlines the concise plan to implement a terminal-based Klondike Solitaire game in Python using the standard library `curses` module, with full game logic, undo history, win detection, a non-interactive smoke test suite, and a unit test suite using `pytest`. ++ ++All files will reside under the directory `solitaire-app/`. ++ ++--- ++ ++## 1. Directory Structure ++ ++```text ++solitaire-app/ ++├── requirements.txt # Project dependencies (pytest) ++├── main.py # Application entry point (handles --smoke and launches TUI) ++├── game_logic.py # Complete pure Python engine for card and game state management ++├── tui.py # Curses-based terminal interface layout, input handler, and renderer ++└── tests/ ++ └── test_game_logic.py # Unit tests for game rules, moves, and state transitions ++``` ++ ++--- ++ ++## 2. Technical Stack & Requirements ++ ++- **Language**: Python 3.11+ ++- **UI Library**: Standard library `curses` (fully playable TUI with color support, keyboard controls, and layout adaptability) ++- **Testing**: `pytest` for rules engine verification ++- **E2E / Demo Verification**: `python3 main.py --smoke` runs a non-interactive automated smoke test of the game logic and exits 0 on success. ++ ++--- ++ ++## 3. Game Engine (game_logic.py) ++ ++The game engine will be completely decoupled from the UI layer to ensure reliable testing. ++ ++### Key Models ++ ++- **`Card`**: ++ - `suit`: One of `♠`, `♥`, `♦`, `♣` (or string representation) ++ - `rank`: Integer from 1 (Ace) to 13 (King) ++ - `face_up`: Boolean ++ - `color`: Derived property (Red for ♥/♦, Black for ♠/♣) ++ ++- **`GameState`**: ++ - `stock`: List of face-down cards ++ - `waste`: List of drawn cards (only the top card is visible and playable) ++ - `tableau`: List of 7 columns, each being a list of `Card`s ++ - `foundations`: Dict with 4 keys (suits/indices) pointing to lists of card sequences (A to K) ++ - `undo_stack`: Stack of serialized or deep-copied previous states ++ ++### Core Operations & Rules (Draw-One Klondike) ++ ++1. **Initialization**: ++ - Shuffle a standard 52-card deck. ++ - Deal cards to the 7 tableau columns (Column $i$ gets $i$ cards; top card is face_up, others face_down). ++ - Remaining cards go to the `stock` pile. ++2. **Draw / Recycle**: ++ - `draw_card()`: Move 1 card from `stock` to `waste` (face-up). ++ - If `stock` is empty, recycle `waste` back to `stock` by reversing and flipping them face-down. ++3. **Move Validation & Execution**: ++ - **Tableau to Tableau**: A card (or face-up stack) can move to another column if the bottom-most card of the moving stack is 1 rank lower and of the opposite color of the target column's top card. An empty tableau column can only accept a King (rank 13). ++ - **Waste to Tableau**: Top of waste can move to a tableau column following the same color/rank rules. ++ - **Waste/Tableau to Foundation**: Cards can move to foundations. Foundations build up from Ace (1) to King (13) by same suit. ++ - **Auto-Reveal**: If a move exposes a face-down card at the top of a tableau column, it is automatically flipped face-up. ++4. **Undo**: ++ - Push the full state to `undo_stack` before any mutating game action. ++ - `undo()` pops from `undo_stack` and restores the game state. ++5. **Win Detection**: ++ - `check_win()` returns `True` when all 4 foundations contain 13 cards (or foundations total 52 cards). ++ ++--- ++ ++## 4. TUI Layout & Interactions (tui.py) ++ ++The Curses TUI will draw a clean grid layout of the game board. ++ ++### Visual Representation ++ ++```text ++ [Stock] [Waste] [F1] [F2] [F3] [F4] ++ [#] [ ♦Q ] [ ] [ ] [ ] [ ] ++ ++ [Col 1] [Col 2] [Col 3] [Col 4] [Col 5] [Col 6] [Col 7] ++ ♠K [#] [#] [#] [#] [#] [#] ++ ♥J [#] [#] [#] [#] [#] ++ ♣10 [#] [#] [#] [#] ++ ♦9 [#] [#] [#] ++ ♠8 [#] [#] ++ ♥7 [#] ++ ♣6 ++``` ++ ++### Color Setup ++- Red cards (♥, ♦) drawn with red text foreground. ++- Black cards (♠, ♣) drawn with black or white/blue text. ++- Focus highlights (selected cards/piles) drawn with distinct background inversion or terminal style. ++ ++### Control Scheme ++ ++To keep the implementation simple, intuitive, and responsive, the TUI will support a cursor/selection-based movement system: ++- **Arrow Keys** or **WASD**: Move cursor between Stock, Waste, Foundations (1-4), and Tableau Piles (1-7). ++- **Space / Enter**: ++ - If cursor is on Stock: Draw card. ++ - If cursor is on a valid card source (Tableau, Waste): Select card/stack. ++ - If cursor is on a valid card destination (Tableau, Foundation): Move selected card/stack to this location. ++- **'u' Key**: Undo last action. ++- **'r' Key**: Restart a new game. ++- **'q' Key**: Quit game. ++ ++--- ++ ++## 5. Non-Interactive Demo Mode (`--smoke`) ++ ++In `main.py`, if `--smoke` argument is passed, the script will execute a headless simulation: ++1. Initialize a deterministic or random game state. ++2. Verify stock drawing and recycling logic. ++3. Programmatically execute a valid move (e.g., set up a mock board with a valid move, run it, and assert the state change). ++4. Verify `undo` reverts the mock state change. ++5. Create a nearly complete foundation set, execute the final winning move, and assert that `check_win()` detects the win. ++6. Print a clean summary of actions taken and exit with code 0 on success. ++ ++--- ++ ++## 6. Testing (tests/test_game_logic.py) ++ ++We will use `pytest` to test rules and operations. Tests will include: ++- `test_game_initialization`: Proper card counts, correct dealing distribution. ++- `test_draw_and_recycle`: Correct handling of stock depletion and recycling. ++- `test_legal_tableau_moves`: Rules on opposite color and rank subtraction. ++- `test_foundation_moves`: Building same-suit foundation piles from A to K. ++- `test_invalid_moves`: Rejection of illegal moves (e.g., King on non-empty, wrong colors, wrong order). ++- `test_undo`: Multi-step undo stability. ++- `test_win_detection`: Assuring win status updates correctly on foundation completion. ++ ++--- ++ ++## 7. Plan Execution Steps ++ ++1. **Step 1**: Create folder `solitaire-app/` and establish `requirements.txt`. ++2. **Step 2**: Implement the engine in `solitaire-app/game_logic.py`. ++3. **Step 3**: Implement unit tests in `solitaire-app/tests/test_game_logic.py` and run them with `pytest` to verify absolute correctness of the core game engine. ++4. **Step 4**: Implement the non-interactive demo code in `solitaire-app/main.py` controlled by the `--smoke` flag. ++5. **Step 5**: Implement the Curses UI layout and loop in `solitaire-app/tui.py` and hook it into `main.py`. ++6. **Step 6**: Validate the entire application interactive interface and verify `--smoke` demo exits successfully. +diff --git a/status.json b/status.json +new file mode 100644 +index 000000000..905fb370f +--- /dev/null ++++ b/status.json +@@ -0,0 +1,3 @@ ++{ ++ "outcome": "succeeded" ++} diff --git a/stages/002-plan_app@1/response.md b/stages/002-plan_app@1/response.md new file mode 100644 index 000000000..71845bde8 --- /dev/null +++ b/stages/002-plan_app@1/response.md @@ -0,0 +1,7 @@ +I have successfully created and documented a concise implementation plan for a Python Klondike Solitaire terminal-based game (with standard-library `curses` TUI). + +The plan has been written to: +* **`.ai/solitaire-fast-plan.md`** + +And the required status file has been written to the workspace root: +* **`status.json`** (`{"outcome": "succeeded"}`) \ No newline at end of file diff --git a/stages/002-plan_app@1/status.json b/stages/002-plan_app@1/status.json new file mode 100644 index 000000000..696ca66e1 --- /dev/null +++ b/stages/002-plan_app@1/status.json @@ -0,0 +1,6 @@ +{ + "outcome": "succeeded", + "notes": "Stage completed: plan_app", + "failure_reason": null, + "timestamp": "2026-06-04T18:05:19.277283Z" +} \ No newline at end of file diff --git a/stages/003-implement_app@1/prompt.md b/stages/003-implement_app@1/prompt.md new file mode 100644 index 000000000..a426c36c8 --- /dev/null +++ b/stages/003-implement_app@1/prompt.md @@ -0,0 +1,31 @@ +Goal: Quickly build a terminal-based Klondike solitaire game in Python with a curses TUI + +## Completed stages +- **plan_app**: succeeded + - Model: gemini-3.5-flash, 61.9k tokens in / 4.6k out + - Files: /home/daytona/workspace/fabro/.ai/solitaire-fast-plan.md, /home/daytona/workspace/fabro/status.json + + +Read .ai/solitaire-fast-plan.md. + +Build the complete app under solitaire-app/ in one focused pass: +- pyproject.toml +- main.py +- src/solitaire_tui/ package +- tests/ package +- README.md + +Implement: +- Card, deck, pile, and GameState types +- Initial Klondike deal +- Move validation and execution +- Stock/waste draw and recycle +- Undo +- Win detection +- Curses UI with board rendering, keyboard navigation, help, new game, and quit +- --smoke mode that imports the app, creates a game, renders a text snapshot or summary, and exits without curses interaction + +Run: +cd solitaire-app && python3 -m pytest tests/ -v && python3 -m py_compile main.py src/solitaire_tui/*.py && python3 main.py --smoke + +Write status.json at workspace root: outcome=succeeded if the app builds, tests pass, and smoke mode works, outcome=failed with failure_reason otherwise. \ No newline at end of file diff --git a/stages/003-implement_app@1/provider_used.json b/stages/003-implement_app@1/provider_used.json new file mode 100644 index 000000000..0bb716dde --- /dev/null +++ b/stages/003-implement_app@1/provider_used.json @@ -0,0 +1,5 @@ +{ + "mode": "agent", + "provider": "gemini", + "model": "gemini-3.5-flash" +} \ No newline at end of file