Mike Swanson
75ce1c2fd5
Enhanced code review and frontend validation with intelligent triggers: Code Review Agent Enhancement: - Added Sequential Thinking MCP integration for complex issues - Triggers on 2+ rejections or 3+ critical issues - New escalation format with root cause analysis - Comprehensive solution strategies with trade-off evaluation - Educational feedback to break rejection cycles - Files: .claude/agents/code-review.md (+308 lines) - Docs: CODE_REVIEW_ST_ENHANCEMENT.md, CODE_REVIEW_ST_TESTING.md Frontend Design Skill Enhancement: - Automatic invocation for ANY UI change - Comprehensive validation checklist (200+ checkpoints) - 8 validation categories (visual, interactive, responsive, a11y, etc.) - 3 validation levels (quick, standard, comprehensive) - Integration with code review workflow - Files: .claude/skills/frontend-design/SKILL.md (+120 lines) - Docs: UI_VALIDATION_CHECKLIST.md (462 lines), AUTOMATIC_VALIDATION_ENHANCEMENT.md (587 lines) Settings Optimization: - Repaired .claude/settings.local.json (fixed m365 pattern) - Reduced permissions from 49 to 33 (33% reduction) - Removed duplicates, sorted alphabetically - Created SETTINGS_PERMISSIONS.md documentation Checkpoint Command Enhancement: - Dual checkpoint system (git + database) - Saves session context to API for cross-machine recall - Includes git metadata in database context - Files: .claude/commands/checkpoint.md (+139 lines) Decision Rationale: - Sequential Thinking MCP breaks rejection cycles by identifying root causes - Automatic frontend validation catches UI issues before code review - Dual checkpoints enable complete project memory across machines - Settings optimization improves maintainability Total: 1,200+ lines of documentation and enhancements Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
39 lines
305 KiB
JSON
39 lines
305 KiB
JSON
{"parentUuid":null,"isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","type":"user","message":{"role":"user","content":"Explore the Autocoder 2.0 codebase to understand how to implement session recovery/checkpointing:\n\n1. **Current session state**: Look at `agent.py`, `progress.py`, and `server/services/process_manager.py` to understand what state exists during an agent session and where it's stored\n\n2. **Process lifecycle**: Examine how agent sessions are started, stopped, and tracked - specifically the lock file mechanism and PID tracking in `process_manager.py`\n\n3. **Feature state management**: Look at how feature progress is currently persisted (database writes, in_progress flag) and at what points we could create checkpoints\n\n4. **MCP server state**: Examine `mcp_server/feature_mcp.py` to see how the MCP tools track and resume work on features\n\n5. **Existing persistence patterns**: Find where the system already saves state to disk (database, lock files, config) and what patterns we can follow\n\nFocus on identifying what state would need to be saved for recovery and the best checkpoint triggers (after tool use, after feature completion, etc.)."},"uuid":"b08bdcbb-fa25-4b90-96d5-b87c5392ecc4","timestamp":"2026-01-11T16:25:49.044Z"}
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{"parentUuid":"b08bdcbb-fa25-4b90-96d5-b87c5392ecc4","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","message":{"model":"claude-haiku-4-5-20251001","id":"msg_017hmvxytrQQgFgEfJfedb2d","type":"message","role":"assistant","content":[{"type":"text","text":"I'll systematically explore the Autocoder 2.0 codebase to understand the session recovery/checkpointing architecture. Let me start by examining the key files you mentioned."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":562,"cache_read_input_tokens":10360,"cache_creation":{"ephemeral_5m_input_tokens":562,"ephemeral_1h_input_tokens":0},"output_tokens":3,"service_tier":"standard"}},"requestId":"req_011CX1uKTLwGuJFMyksmEiYH","type":"assistant","uuid":"ce85fe1f-a6cd-4cf6-9e95-3c869f916225","timestamp":"2026-01-11T16:25:50.367Z"}
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{"parentUuid":"88128944-e417-4ba8-a1d9-a9e49f2e58c0","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SPz4KTfZBiKUKvp55tHsS5","type":"tool_result","content":" 1→\"\"\"\n 2→Agent Session Logic\n 3→===================\n 4→\n 5→Core agent interaction functions for running autonomous coding sessions.\n 6→\"\"\"\n 7→\n 8→import asyncio\n 9→import io\n 10→import sys\n 11→from pathlib import Path\n 12→from typing import Optional\n 13→\n 14→from claude_agent_sdk import ClaudeSDKClient\n 15→\n 16→# Fix Windows console encoding for Unicode characters (emoji, etc.)\n 17→# Without this, print() crashes when Claude outputs emoji like ✅\n 18→if sys.platform == \"win32\":\n 19→ sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')\n 20→ sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8', errors='replace')\n 21→\n 22→from client import create_client\n 23→from progress import has_features, print_progress_summary, print_session_header\n 24→from prompts import (\n 25→ copy_spec_to_project,\n 26→ get_coding_prompt_with_context,\n 27→ get_initializer_prompt_with_context,\n 28→)\n 29→\n 30→# Configuration\n 31→AUTO_CONTINUE_DELAY_SECONDS = 3\n 32→\n 33→\n 34→async def run_agent_session(\n 35→ client: ClaudeSDKClient,\n 36→ message: str,\n 37→ project_dir: Path,\n 38→) -> tuple[str, str]:\n 39→ \"\"\"\n 40→ Run a single agent session using Claude Agent SDK.\n 41→\n 42→ Args:\n 43→ client: Claude SDK client\n 44→ message: The prompt to send\n 45→ project_dir: Project directory path\n 46→\n 47→ Returns:\n 48→ (status, response_text) where status is:\n 49→ - \"continue\" if agent should continue working\n 50→ - \"error\" if an error occurred\n 51→ \"\"\"\n 52→ print(\"Sending prompt to Claude Agent SDK...\\n\")\n 53→\n 54→ try:\n 55→ # Send the query\n 56→ await client.query(message)\n 57→\n 58→ # Collect response text and show tool use\n 59→ response_text = \"\"\n 60→ async for msg in client.receive_response():\n 61→ msg_type = type(msg).__name__\n 62→\n 63→ # Handle AssistantMessage (text and tool use)\n 64→ if msg_type == \"AssistantMessage\" and hasattr(msg, \"content\"):\n 65→ for block in msg.content:\n 66→ block_type = type(block).__name__\n 67→\n 68→ if block_type == \"TextBlock\" and hasattr(block, \"text\"):\n 69→ response_text += block.text\n 70→ print(block.text, end=\"\", flush=True)\n 71→ elif block_type == \"ToolUseBlock\" and hasattr(block, \"name\"):\n 72→ print(f\"\\n[Tool: {block.name}]\", flush=True)\n 73→ if hasattr(block, \"input\"):\n 74→ input_str = str(block.input)\n 75→ if len(input_str) > 200:\n 76→ print(f\" Input: {input_str[:200]}...\", flush=True)\n 77→ else:\n 78→ print(f\" Input: {input_str}\", flush=True)\n 79→\n 80→ # Handle UserMessage (tool results)\n 81→ elif msg_type == \"UserMessage\" and hasattr(msg, \"content\"):\n 82→ for block in msg.content:\n 83→ block_type = type(block).__name__\n 84→\n 85→ if block_type == \"ToolResultBlock\":\n 86→ result_content = getattr(block, \"content\", \"\")\n 87→ is_error = getattr(block, \"is_error\", False)\n 88→\n 89→ # Check if command was blocked by security hook\n 90→ if \"blocked\" in str(result_content).lower():\n 91→ print(f\" [BLOCKED] {result_content}\", flush=True)\n 92→ elif is_error:\n 93→ # Show errors (truncated)\n 94→ error_str = str(result_content)[:500]\n 95→ print(f\" [Error] {error_str}\", flush=True)\n 96→ else:\n 97→ # Tool succeeded - just show brief confirmation\n 98→ print(\" [Done]\", flush=True)\n 99→\n 100→ print(\"\\n\" + \"-\" * 70 + \"\\n\")\n 101→ return \"continue\", response_text\n 102→\n 103→ except Exception as e:\n 104→ print(f\"Error during agent session: {e}\")\n 105→ return \"error\", str(e)\n 106→\n 107→\n 108→async def run_autonomous_agent(\n 109→ project_dir: Path,\n 110→ model: str,\n 111→ max_iterations: Optional[int] = None,\n 112→ yolo_mode: bool = False,\n 113→) -> None:\n 114→ \"\"\"\n 115→ Run the autonomous agent loop.\n 116→\n 117→ Args:\n 118→ project_dir: Directory for the project\n 119→ model: Claude model to use\n 120→ max_iterations: Maximum number of iterations (None for unlimited)\n 121→ yolo_mode: If True, skip browser testing and use YOLO prompt\n 122→ \"\"\"\n 123→ print(\"\\n\" + \"=\" * 70)\n 124→ print(\" AUTONOMOUS CODING AGENT DEMO\")\n 125→ print(\"=\" * 70)\n 126→ print(f\"\\nProject directory: {project_dir}\")\n 127→ print(f\"Model: {model}\")\n 128→ if yolo_mode:\n 129→ print(\"Mode: YOLO (testing disabled)\")\n 130→ else:\n 131→ print(\"Mode: Standard (full testing)\")\n 132→ if max_iterations:\n 133→ print(f\"Max iterations: {max_iterations}\")\n 134→ else:\n 135→ print(\"Max iterations: Unlimited (will run until completion)\")\n 136→ print()\n 137→\n 138→ # Create project directory\n 139→ project_dir.mkdir(parents=True, exist_ok=True)\n 140→\n 141→ # Check if this is a fresh start or continuation\n 142→ # Uses has_features() which checks if the database actually has features,\n 143→ # not just if the file exists (empty db should still trigger initializer)\n 144→ is_first_run = not has_features(project_dir)\n 145→\n 146→ if is_first_run:\n 147→ print(\"Fresh start - will use initializer agent\")\n 148→ print()\n 149→ print(\"=\" * 70)\n 150→ print(\" NOTE: First session takes 10-20+ minutes!\")\n 151→ print(\" The agent is generating 200 detailed test cases.\")\n 152→ print(\" This may appear to hang - it's working. Watch for [Tool: ...] output.\")\n 153→ print(\"=\" * 70)\n 154→ print()\n 155→ # Copy the app spec into the project directory for the agent to read\n 156→ copy_spec_to_project(project_dir)\n 157→ else:\n 158→ print(\"Continuing existing project\")\n 159→ print_progress_summary(project_dir)\n 160→\n 161→ # Main loop\n 162→ iteration = 0\n 163→\n 164→ while True:\n 165→ iteration += 1\n 166→\n 167→ # Check max iterations\n 168→ if max_iterations and iteration > max_iterations:\n 169→ print(f\"\\nReached max iterations ({max_iterations})\")\n 170→ print(\"To continue, run the script again without --max-iterations\")\n 171→ break\n 172→\n 173→ # Print session header\n 174→ print_session_header(iteration, is_first_run)\n 175→\n 176→ # Create client (fresh context)\n 177→ client = create_client(project_dir, model, yolo_mode=yolo_mode)\n 178→\n 179→ # Choose prompt based on session type\n 180→ # Pass project_dir to enable project-specific prompts\n 181→ if is_first_run:\n 182→ prompt = get_initializer_prompt_with_context(project_dir.name, project_dir)\n 183→ is_first_run = False # Only use initializer once\n 184→ else:\n 185→ # Use YOLO prompt if in YOLO mode\n 186→ if yolo_mode:\n 187→ prompt = get_coding_prompt_with_context(project_dir.name, project_dir, yolo_mode=True)\n 188→ else:\n 189→ prompt = get_coding_prompt_with_context(project_dir.name, project_dir)\n 190→\n 191→ # Run session with async context manager\n 192→ async with client:\n 193→ status, response = await run_agent_session(client, prompt, project_dir)\n 194→\n 195→ # Handle status\n 196→ if status == \"continue\":\n 197→ print(f\"\\nAgent will auto-continue in {AUTO_CONTINUE_DELAY_SECONDS}s...\")\n 198→ print_progress_summary(project_dir)\n 199→ await asyncio.sleep(AUTO_CONTINUE_DELAY_SECONDS)\n 200→\n 201→ elif status == \"error\":\n 202→ print(\"\\nSession encountered an error\")\n 203→ print(\"Will retry with a fresh session...\")\n 204→ await asyncio.sleep(AUTO_CONTINUE_DELAY_SECONDS)\n 205→\n 206→ # Small delay between sessions\n 207→ if max_iterations is None or iteration < max_iterations:\n 208→ print(\"\\nPreparing next session...\\n\")\n 209→ await asyncio.sleep(1)\n 210→\n 211→ # Final summary\n 212→ print(\"\\n\" + \"=\" * 70)\n 213→ print(\" SESSION COMPLETE\")\n 214→ print(\"=\" * 70)\n 215→ print(f\"\\nProject directory: {project_dir}\")\n 216→ print_progress_summary(project_dir)\n 217→\n 218→ # Print instructions for running the generated application\n 219→ print(\"\\n\" + \"-\" * 70)\n 220→ print(\" TO RUN THE GENERATED APPLICATION:\")\n 221→ print(\"-\" * 70)\n 222→ print(f\"\\n cd {project_dir.resolve()}\")\n 223→ print(\" ./init.sh # Run the setup script\")\n 224→ print(\" # Or manually:\")\n 225→ print(\" npm install && npm run dev\")\n 226→ print(\"\\n Then open http://localhost:3000 (or check init.sh for the URL)\")\n 227→ print(\"-\" * 70)\n 228→\n 229→ print(\"\\nDone!\")\n 230→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"8e8af20d-0a79-416b-a17d-91f8e621305f","timestamp":"2026-01-11T16:26:29.015Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\agent.py","content":"\"\"\"\nAgent Session Logic\n===================\n\nCore agent interaction functions for running autonomous coding sessions.\n\"\"\"\n\nimport asyncio\nimport io\nimport sys\nfrom pathlib import Path\nfrom typing import Optional\n\nfrom claude_agent_sdk import ClaudeSDKClient\n\n# Fix Windows console encoding for Unicode characters (emoji, etc.)\n# Without this, print() crashes when Claude outputs emoji like ✅\nif sys.platform == \"win32\":\n sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')\n sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8', errors='replace')\n\nfrom client import create_client\nfrom progress import has_features, print_progress_summary, print_session_header\nfrom prompts import (\n copy_spec_to_project,\n get_coding_prompt_with_context,\n get_initializer_prompt_with_context,\n)\n\n# Configuration\nAUTO_CONTINUE_DELAY_SECONDS = 3\n\n\nasync def run_agent_session(\n client: ClaudeSDKClient,\n message: str,\n project_dir: Path,\n) -> tuple[str, str]:\n \"\"\"\n Run a single agent session using Claude Agent SDK.\n\n Args:\n client: Claude SDK client\n message: The prompt to send\n project_dir: Project directory path\n\n Returns:\n (status, response_text) where status is:\n - \"continue\" if agent should continue working\n - \"error\" if an error occurred\n \"\"\"\n print(\"Sending prompt to Claude Agent SDK...\\n\")\n\n try:\n # Send the query\n await client.query(message)\n\n # Collect response text and show tool use\n response_text = \"\"\n async for msg in client.receive_response():\n msg_type = type(msg).__name__\n\n # Handle AssistantMessage (text and tool use)\n if msg_type == \"AssistantMessage\" and hasattr(msg, \"content\"):\n for block in msg.content:\n block_type = type(block).__name__\n\n if block_type == \"TextBlock\" and hasattr(block, \"text\"):\n response_text += block.text\n print(block.text, end=\"\", flush=True)\n elif block_type == \"ToolUseBlock\" and hasattr(block, \"name\"):\n print(f\"\\n[Tool: {block.name}]\", flush=True)\n if hasattr(block, \"input\"):\n input_str = str(block.input)\n if len(input_str) > 200:\n print(f\" Input: {input_str[:200]}...\", flush=True)\n else:\n print(f\" Input: {input_str}\", flush=True)\n\n # Handle UserMessage (tool results)\n elif msg_type == \"UserMessage\" and hasattr(msg, \"content\"):\n for block in msg.content:\n block_type = type(block).__name__\n\n if block_type == \"ToolResultBlock\":\n result_content = getattr(block, \"content\", \"\")\n is_error = getattr(block, \"is_error\", False)\n\n # Check if command was blocked by security hook\n if \"blocked\" in str(result_content).lower():\n print(f\" [BLOCKED] {result_content}\", flush=True)\n elif is_error:\n # Show errors (truncated)\n error_str = str(result_content)[:500]\n print(f\" [Error] {error_str}\", flush=True)\n else:\n # Tool succeeded - just show brief confirmation\n print(\" [Done]\", flush=True)\n\n print(\"\\n\" + \"-\" * 70 + \"\\n\")\n return \"continue\", response_text\n\n except Exception as e:\n print(f\"Error during agent session: {e}\")\n return \"error\", str(e)\n\n\nasync def run_autonomous_agent(\n project_dir: Path,\n model: str,\n max_iterations: Optional[int] = None,\n yolo_mode: bool = False,\n) -> None:\n \"\"\"\n Run the autonomous agent loop.\n\n Args:\n project_dir: Directory for the project\n model: Claude model to use\n max_iterations: Maximum number of iterations (None for unlimited)\n yolo_mode: If True, skip browser testing and use YOLO prompt\n \"\"\"\n print(\"\\n\" + \"=\" * 70)\n print(\" AUTONOMOUS CODING AGENT DEMO\")\n print(\"=\" * 70)\n print(f\"\\nProject directory: {project_dir}\")\n print(f\"Model: {model}\")\n if yolo_mode:\n print(\"Mode: YOLO (testing disabled)\")\n else:\n print(\"Mode: Standard (full testing)\")\n if max_iterations:\n print(f\"Max iterations: {max_iterations}\")\n else:\n print(\"Max iterations: Unlimited (will run until completion)\")\n print()\n\n # Create project directory\n project_dir.mkdir(parents=True, exist_ok=True)\n\n # Check if this is a fresh start or continuation\n # Uses has_features() which checks if the database actually has features,\n # not just if the file exists (empty db should still trigger initializer)\n is_first_run = not has_features(project_dir)\n\n if is_first_run:\n print(\"Fresh start - will use initializer agent\")\n print()\n print(\"=\" * 70)\n print(\" NOTE: First session takes 10-20+ minutes!\")\n print(\" The agent is generating 200 detailed test cases.\")\n print(\" This may appear to hang - it's working. Watch for [Tool: ...] output.\")\n print(\"=\" * 70)\n print()\n # Copy the app spec into the project directory for the agent to read\n copy_spec_to_project(project_dir)\n else:\n print(\"Continuing existing project\")\n print_progress_summary(project_dir)\n\n # Main loop\n iteration = 0\n\n while True:\n iteration += 1\n\n # Check max iterations\n if max_iterations and iteration > max_iterations:\n print(f\"\\nReached max iterations ({max_iterations})\")\n print(\"To continue, run the script again without --max-iterations\")\n break\n\n # Print session header\n print_session_header(iteration, is_first_run)\n\n # Create client (fresh context)\n client = create_client(project_dir, model, yolo_mode=yolo_mode)\n\n # Choose prompt based on session type\n # Pass project_dir to enable project-specific prompts\n if is_first_run:\n prompt = get_initializer_prompt_with_context(project_dir.name, project_dir)\n is_first_run = False # Only use initializer once\n else:\n # Use YOLO prompt if in YOLO mode\n if yolo_mode:\n prompt = get_coding_prompt_with_context(project_dir.name, project_dir, yolo_mode=True)\n else:\n prompt = get_coding_prompt_with_context(project_dir.name, project_dir)\n\n # Run session with async context manager\n async with client:\n status, response = await run_agent_session(client, prompt, project_dir)\n\n # Handle status\n if status == \"continue\":\n print(f\"\\nAgent will auto-continue in {AUTO_CONTINUE_DELAY_SECONDS}s...\")\n print_progress_summary(project_dir)\n await asyncio.sleep(AUTO_CONTINUE_DELAY_SECONDS)\n\n elif status == \"error\":\n print(\"\\nSession encountered an error\")\n print(\"Will retry with a fresh session...\")\n await asyncio.sleep(AUTO_CONTINUE_DELAY_SECONDS)\n\n # Small delay between sessions\n if max_iterations is None or iteration < max_iterations:\n print(\"\\nPreparing next session...\\n\")\n await asyncio.sleep(1)\n\n # Final summary\n print(\"\\n\" + \"=\" * 70)\n print(\" SESSION COMPLETE\")\n print(\"=\" * 70)\n print(f\"\\nProject directory: {project_dir}\")\n print_progress_summary(project_dir)\n\n # Print instructions for running the generated application\n print(\"\\n\" + \"-\" * 70)\n print(\" TO RUN THE GENERATED APPLICATION:\")\n print(\"-\" * 70)\n print(f\"\\n cd {project_dir.resolve()}\")\n print(\" ./init.sh # Run the setup script\")\n print(\" # Or manually:\")\n print(\" npm install && npm run dev\")\n print(\"\\n Then open http://localhost:3000 (or check init.sh for the URL)\")\n print(\"-\" * 70)\n\n print(\"\\nDone!\")\n","numLines":230,"startLine":1,"totalLines":230}},"sourceToolAssistantUUID":"88128944-e417-4ba8-a1d9-a9e49f2e58c0"}
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{"parentUuid":"e4f0e626-0053-484f-b1e1-52a5d7eb9bf5","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014EBX2YSgfMGxSY4taxLr12","type":"tool_result","content":" 1→\"\"\"\n 2→Progress Tracking Utilities\n 3→===========================\n 4→\n 5→Functions for tracking and displaying progress of the autonomous coding agent.\n 6→Uses direct SQLite access for database queries.\n 7→\"\"\"\n 8→\n 9→import json\n 10→import os\n 11→import sqlite3\n 12→import urllib.request\n 13→from datetime import datetime\n 14→from pathlib import Path\n 15→\n 16→WEBHOOK_URL = os.environ.get(\"PROGRESS_N8N_WEBHOOK_URL\")\n 17→PROGRESS_CACHE_FILE = \".progress_cache\"\n 18→\n 19→\n 20→def has_features(project_dir: Path) -> bool:\n 21→ \"\"\"\n 22→ Check if the project has features in the database.\n 23→\n 24→ This is used to determine if the initializer agent needs to run.\n 25→ We check the database directly (not via API) since the API server\n 26→ may not be running yet when this check is performed.\n 27→\n 28→ Returns True if:\n 29→ - features.db exists AND has at least 1 feature, OR\n 30→ - feature_list.json exists (legacy format)\n 31→\n 32→ Returns False if no features exist (initializer needs to run).\n 33→ \"\"\"\n 34→ import sqlite3\n 35→\n 36→ # Check legacy JSON file first\n 37→ json_file = project_dir / \"feature_list.json\"\n 38→ if json_file.exists():\n 39→ return True\n 40→\n 41→ # Check SQLite database\n 42→ db_file = project_dir / \"features.db\"\n 43→ if not db_file.exists():\n 44→ return False\n 45→\n 46→ try:\n 47→ conn = sqlite3.connect(db_file)\n 48→ cursor = conn.cursor()\n 49→ cursor.execute(\"SELECT COUNT(*) FROM features\")\n 50→ count = cursor.fetchone()[0]\n 51→ conn.close()\n 52→ return count > 0\n 53→ except Exception:\n 54→ # Database exists but can't be read or has no features table\n 55→ return False\n 56→\n 57→\n 58→def count_passing_tests(project_dir: Path) -> tuple[int, int, int]:\n 59→ \"\"\"\n 60→ Count passing, in_progress, and total tests via direct database access.\n 61→\n 62→ Args:\n 63→ project_dir: Directory containing the project\n 64→\n 65→ Returns:\n 66→ (passing_count, in_progress_count, total_count)\n 67→ \"\"\"\n 68→ db_file = project_dir / \"features.db\"\n 69→ if not db_file.exists():\n 70→ return 0, 0, 0\n 71→\n 72→ try:\n 73→ conn = sqlite3.connect(db_file)\n 74→ cursor = conn.cursor()\n 75→ cursor.execute(\"SELECT COUNT(*) FROM features\")\n 76→ total = cursor.fetchone()[0]\n 77→ cursor.execute(\"SELECT COUNT(*) FROM features WHERE passes = 1\")\n 78→ passing = cursor.fetchone()[0]\n 79→ # Handle case where in_progress column doesn't exist yet\n 80→ try:\n 81→ cursor.execute(\"SELECT COUNT(*) FROM features WHERE in_progress = 1\")\n 82→ in_progress = cursor.fetchone()[0]\n 83→ except sqlite3.OperationalError:\n 84→ in_progress = 0\n 85→ conn.close()\n 86→ return passing, in_progress, total\n 87→ except Exception as e:\n 88→ print(f\"[Database error in count_passing_tests: {e}]\")\n 89→ return 0, 0, 0\n 90→\n 91→\n 92→def get_all_passing_features(project_dir: Path) -> list[dict]:\n 93→ \"\"\"\n 94→ Get all passing features for webhook notifications.\n 95→\n 96→ Args:\n 97→ project_dir: Directory containing the project\n 98→\n 99→ Returns:\n 100→ List of dicts with id, category, name for each passing feature\n 101→ \"\"\"\n 102→ db_file = project_dir / \"features.db\"\n 103→ if not db_file.exists():\n 104→ return []\n 105→\n 106→ try:\n 107→ conn = sqlite3.connect(db_file)\n 108→ cursor = conn.cursor()\n 109→ cursor.execute(\n 110→ \"SELECT id, category, name FROM features WHERE passes = 1 ORDER BY priority ASC\"\n 111→ )\n 112→ features = [\n 113→ {\"id\": row[0], \"category\": row[1], \"name\": row[2]}\n 114→ for row in cursor.fetchall()\n 115→ ]\n 116→ conn.close()\n 117→ return features\n 118→ except Exception:\n 119→ return []\n 120→\n 121→\n 122→def send_progress_webhook(passing: int, total: int, project_dir: Path) -> None:\n 123→ \"\"\"Send webhook notification when progress increases.\"\"\"\n 124→ if not WEBHOOK_URL:\n 125→ return # Webhook not configured\n 126→\n 127→ cache_file = project_dir / PROGRESS_CACHE_FILE\n 128→ previous = 0\n 129→ previous_passing_ids = set()\n 130→\n 131→ # Read previous progress and passing feature IDs\n 132→ if cache_file.exists():\n 133→ try:\n 134→ cache_data = json.loads(cache_file.read_text())\n 135→ previous = cache_data.get(\"count\", 0)\n 136→ previous_passing_ids = set(cache_data.get(\"passing_ids\", []))\n 137→ except Exception:\n 138→ previous = 0\n 139→\n 140→ # Only notify if progress increased\n 141→ if passing > previous:\n 142→ # Find which features are now passing via API\n 143→ completed_tests = []\n 144→ current_passing_ids = []\n 145→\n 146→ # Detect transition from old cache format (had count but no passing_ids)\n 147→ # In this case, we can't reliably identify which specific tests are new\n 148→ is_old_cache_format = len(previous_passing_ids) == 0 and previous > 0\n 149→\n 150→ # Get all passing features via direct database access\n 151→ all_passing = get_all_passing_features(project_dir)\n 152→ for feature in all_passing:\n 153→ feature_id = feature.get(\"id\")\n 154→ current_passing_ids.append(feature_id)\n 155→ # Only identify individual new tests if we have previous IDs to compare\n 156→ if not is_old_cache_format and feature_id not in previous_passing_ids:\n 157→ # This feature is newly passing\n 158→ name = feature.get(\"name\", f\"Feature #{feature_id}\")\n 159→ category = feature.get(\"category\", \"\")\n 160→ if category:\n 161→ completed_tests.append(f\"{category} {name}\")\n 162→ else:\n 163→ completed_tests.append(name)\n 164→\n 165→ payload = {\n 166→ \"event\": \"test_progress\",\n 167→ \"passing\": passing,\n 168→ \"total\": total,\n 169→ \"percentage\": round((passing / total) * 100, 1) if total > 0 else 0,\n 170→ \"previous_passing\": previous,\n 171→ \"tests_completed_this_session\": passing - previous,\n 172→ \"completed_tests\": completed_tests,\n 173→ \"project\": project_dir.name,\n 174→ \"timestamp\": datetime.utcnow().isoformat() + \"Z\",\n 175→ }\n 176→\n 177→ try:\n 178→ req = urllib.request.Request(\n 179→ WEBHOOK_URL,\n 180→ data=json.dumps([payload]).encode(\"utf-8\"), # n8n expects array\n 181→ headers={\"Content-Type\": \"application/json\"},\n 182→ )\n 183→ urllib.request.urlopen(req, timeout=5)\n 184→ except Exception as e:\n 185→ print(f\"[Webhook notification failed: {e}]\")\n 186→\n 187→ # Update cache with count and passing IDs\n 188→ cache_file.write_text(\n 189→ json.dumps({\"count\": passing, \"passing_ids\": current_passing_ids})\n 190→ )\n 191→ else:\n 192→ # Update cache even if no change (for initial state)\n 193→ if not cache_file.exists():\n 194→ all_passing = get_all_passing_features(project_dir)\n 195→ current_passing_ids = [f.get(\"id\") for f in all_passing]\n 196→ cache_file.write_text(\n 197→ json.dumps({\"count\": passing, \"passing_ids\": current_passing_ids})\n 198→ )\n 199→\n 200→\n 201→def print_session_header(session_num: int, is_initializer: bool) -> None:\n 202→ \"\"\"Print a formatted header for the session.\"\"\"\n 203→ session_type = \"INITIALIZER\" if is_initializer else \"CODING AGENT\"\n 204→\n 205→ print(\"\\n\" + \"=\" * 70)\n 206→ print(f\" SESSION {session_num}: {session_type}\")\n 207→ print(\"=\" * 70)\n 208→ print()\n 209→\n 210→\n 211→def print_progress_summary(project_dir: Path) -> None:\n 212→ \"\"\"Print a summary of current progress.\"\"\"\n 213→ passing, in_progress, total = count_passing_tests(project_dir)\n 214→\n 215→ if total > 0:\n 216→ percentage = (passing / total) * 100\n 217→ status_parts = [f\"{passing}/{total} tests passing ({percentage:.1f}%)\"]\n 218→ if in_progress > 0:\n 219→ status_parts.append(f\"{in_progress} in progress\")\n 220→ print(f\"\\nProgress: {', '.join(status_parts)}\")\n 221→ send_progress_webhook(passing, total, project_dir)\n 222→ else:\n 223→ print(\"\\nProgress: No features in database yet\")\n 224→\n 225→\n 226→def get_feature_stats(project_dir: Path) -> dict:\n 227→ \"\"\"\n 228→ Get feature statistics from the database.\n 229→\n 230→ Args:\n 231→ project_dir: Directory containing the project\n 232→\n 233→ Returns:\n 234→ Dict with keys: pending, in_progress, completed, total\n 235→ \"\"\"\n 236→ passing, in_progress, total = count_passing_tests(project_dir)\n 237→ pending = max(0, total - passing - in_progress)\n 238→\n 239→ return {\n 240→ \"pending\": pending,\n 241→ \"in_progress\": in_progress,\n 242→ \"completed\": passing,\n 243→ \"total\": total,\n 244→ }\n 245→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"6e82de1f-b3b7-43b1-b477-ef409aa4822b","timestamp":"2026-01-11T16:26:29.016Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\progress.py","content":"\"\"\"\nProgress Tracking Utilities\n===========================\n\nFunctions for tracking and displaying progress of the autonomous coding agent.\nUses direct SQLite access for database queries.\n\"\"\"\n\nimport json\nimport os\nimport sqlite3\nimport urllib.request\nfrom datetime import datetime\nfrom pathlib import Path\n\nWEBHOOK_URL = os.environ.get(\"PROGRESS_N8N_WEBHOOK_URL\")\nPROGRESS_CACHE_FILE = \".progress_cache\"\n\n\ndef has_features(project_dir: Path) -> bool:\n \"\"\"\n Check if the project has features in the database.\n\n This is used to determine if the initializer agent needs to run.\n We check the database directly (not via API) since the API server\n may not be running yet when this check is performed.\n\n Returns True if:\n - features.db exists AND has at least 1 feature, OR\n - feature_list.json exists (legacy format)\n\n Returns False if no features exist (initializer needs to run).\n \"\"\"\n import sqlite3\n\n # Check legacy JSON file first\n json_file = project_dir / \"feature_list.json\"\n if json_file.exists():\n return True\n\n # Check SQLite database\n db_file = project_dir / \"features.db\"\n if not db_file.exists():\n return False\n\n try:\n conn = sqlite3.connect(db_file)\n cursor = conn.cursor()\n cursor.execute(\"SELECT COUNT(*) FROM features\")\n count = cursor.fetchone()[0]\n conn.close()\n return count > 0\n except Exception:\n # Database exists but can't be read or has no features table\n return False\n\n\ndef count_passing_tests(project_dir: Path) -> tuple[int, int, int]:\n \"\"\"\n Count passing, in_progress, and total tests via direct database access.\n\n Args:\n project_dir: Directory containing the project\n\n Returns:\n (passing_count, in_progress_count, total_count)\n \"\"\"\n db_file = project_dir / \"features.db\"\n if not db_file.exists():\n return 0, 0, 0\n\n try:\n conn = sqlite3.connect(db_file)\n cursor = conn.cursor()\n cursor.execute(\"SELECT COUNT(*) FROM features\")\n total = cursor.fetchone()[0]\n cursor.execute(\"SELECT COUNT(*) FROM features WHERE passes = 1\")\n passing = cursor.fetchone()[0]\n # Handle case where in_progress column doesn't exist yet\n try:\n cursor.execute(\"SELECT COUNT(*) FROM features WHERE in_progress = 1\")\n in_progress = cursor.fetchone()[0]\n except sqlite3.OperationalError:\n in_progress = 0\n conn.close()\n return passing, in_progress, total\n except Exception as e:\n print(f\"[Database error in count_passing_tests: {e}]\")\n return 0, 0, 0\n\n\ndef get_all_passing_features(project_dir: Path) -> list[dict]:\n \"\"\"\n Get all passing features for webhook notifications.\n\n Args:\n project_dir: Directory containing the project\n\n Returns:\n List of dicts with id, category, name for each passing feature\n \"\"\"\n db_file = project_dir / \"features.db\"\n if not db_file.exists():\n return []\n\n try:\n conn = sqlite3.connect(db_file)\n cursor = conn.cursor()\n cursor.execute(\n \"SELECT id, category, name FROM features WHERE passes = 1 ORDER BY priority ASC\"\n )\n features = [\n {\"id\": row[0], \"category\": row[1], \"name\": row[2]}\n for row in cursor.fetchall()\n ]\n conn.close()\n return features\n except Exception:\n return []\n\n\ndef send_progress_webhook(passing: int, total: int, project_dir: Path) -> None:\n \"\"\"Send webhook notification when progress increases.\"\"\"\n if not WEBHOOK_URL:\n return # Webhook not configured\n\n cache_file = project_dir / PROGRESS_CACHE_FILE\n previous = 0\n previous_passing_ids = set()\n\n # Read previous progress and passing feature IDs\n if cache_file.exists():\n try:\n cache_data = json.loads(cache_file.read_text())\n previous = cache_data.get(\"count\", 0)\n previous_passing_ids = set(cache_data.get(\"passing_ids\", []))\n except Exception:\n previous = 0\n\n # Only notify if progress increased\n if passing > previous:\n # Find which features are now passing via API\n completed_tests = []\n current_passing_ids = []\n\n # Detect transition from old cache format (had count but no passing_ids)\n # In this case, we can't reliably identify which specific tests are new\n is_old_cache_format = len(previous_passing_ids) == 0 and previous > 0\n\n # Get all passing features via direct database access\n all_passing = get_all_passing_features(project_dir)\n for feature in all_passing:\n feature_id = feature.get(\"id\")\n current_passing_ids.append(feature_id)\n # Only identify individual new tests if we have previous IDs to compare\n if not is_old_cache_format and feature_id not in previous_passing_ids:\n # This feature is newly passing\n name = feature.get(\"name\", f\"Feature #{feature_id}\")\n category = feature.get(\"category\", \"\")\n if category:\n completed_tests.append(f\"{category} {name}\")\n else:\n completed_tests.append(name)\n\n payload = {\n \"event\": \"test_progress\",\n \"passing\": passing,\n \"total\": total,\n \"percentage\": round((passing / total) * 100, 1) if total > 0 else 0,\n \"previous_passing\": previous,\n \"tests_completed_this_session\": passing - previous,\n \"completed_tests\": completed_tests,\n \"project\": project_dir.name,\n \"timestamp\": datetime.utcnow().isoformat() + \"Z\",\n }\n\n try:\n req = urllib.request.Request(\n WEBHOOK_URL,\n data=json.dumps([payload]).encode(\"utf-8\"), # n8n expects array\n headers={\"Content-Type\": \"application/json\"},\n )\n urllib.request.urlopen(req, timeout=5)\n except Exception as e:\n print(f\"[Webhook notification failed: {e}]\")\n\n # Update cache with count and passing IDs\n cache_file.write_text(\n json.dumps({\"count\": passing, \"passing_ids\": current_passing_ids})\n )\n else:\n # Update cache even if no change (for initial state)\n if not cache_file.exists():\n all_passing = get_all_passing_features(project_dir)\n current_passing_ids = [f.get(\"id\") for f in all_passing]\n cache_file.write_text(\n json.dumps({\"count\": passing, \"passing_ids\": current_passing_ids})\n )\n\n\ndef print_session_header(session_num: int, is_initializer: bool) -> None:\n \"\"\"Print a formatted header for the session.\"\"\"\n session_type = \"INITIALIZER\" if is_initializer else \"CODING AGENT\"\n\n print(\"\\n\" + \"=\" * 70)\n print(f\" SESSION {session_num}: {session_type}\")\n print(\"=\" * 70)\n print()\n\n\ndef print_progress_summary(project_dir: Path) -> None:\n \"\"\"Print a summary of current progress.\"\"\"\n passing, in_progress, total = count_passing_tests(project_dir)\n\n if total > 0:\n percentage = (passing / total) * 100\n status_parts = [f\"{passing}/{total} tests passing ({percentage:.1f}%)\"]\n if in_progress > 0:\n status_parts.append(f\"{in_progress} in progress\")\n print(f\"\\nProgress: {', '.join(status_parts)}\")\n send_progress_webhook(passing, total, project_dir)\n else:\n print(\"\\nProgress: No features in database yet\")\n\n\ndef get_feature_stats(project_dir: Path) -> dict:\n \"\"\"\n Get feature statistics from the database.\n\n Args:\n project_dir: Directory containing the project\n\n Returns:\n Dict with keys: pending, in_progress, completed, total\n \"\"\"\n passing, in_progress, total = count_passing_tests(project_dir)\n pending = max(0, total - passing - in_progress)\n\n return {\n \"pending\": pending,\n \"in_progress\": in_progress,\n \"completed\": passing,\n \"total\": total,\n }\n","numLines":245,"startLine":1,"totalLines":245}},"sourceToolAssistantUUID":"e4f0e626-0053-484f-b1e1-52a5d7eb9bf5"}
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{"parentUuid":"d3887cdc-6211-4947-af23-a4a13f8df30d","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EC3xnL43k3hByPCMqGooJL","type":"tool_result","content":" 1→\"\"\"\n 2→Agent Process Manager\n 3→=====================\n 4→\n 5→Manages the lifecycle of agent subprocesses per project.\n 6→Provides start/stop/pause/resume functionality with cross-platform support.\n 7→\"\"\"\n 8→\n 9→import asyncio\n 10→import logging\n 11→import re\n 12→import subprocess\n 13→import sys\n 14→import threading\n 15→from datetime import datetime\n 16→from pathlib import Path\n 17→from typing import Awaitable, Callable, Literal, Set\n 18→\n 19→import psutil\n 20→\n 21→logger = logging.getLogger(__name__)\n 22→\n 23→# Patterns for sensitive data that should be redacted from output\n 24→SENSITIVE_PATTERNS = [\n 25→ r'sk-[a-zA-Z0-9]{20,}', # Anthropic API keys\n 26→ r'ANTHROPIC_API_KEY=[^\\s]+',\n 27→ r'api[_-]?key[=:][^\\s]+',\n 28→ r'token[=:][^\\s]+',\n 29→ r'password[=:][^\\s]+',\n 30→ r'secret[=:][^\\s]+',\n 31→ r'ghp_[a-zA-Z0-9]{36,}', # GitHub personal access tokens\n 32→ r'gho_[a-zA-Z0-9]{36,}', # GitHub OAuth tokens\n 33→ r'ghs_[a-zA-Z0-9]{36,}', # GitHub server tokens\n 34→ r'ghr_[a-zA-Z0-9]{36,}', # GitHub refresh tokens\n 35→ r'aws[_-]?access[_-]?key[=:][^\\s]+', # AWS keys\n 36→ r'aws[_-]?secret[=:][^\\s]+',\n 37→]\n 38→\n 39→\n 40→def sanitize_output(line: str) -> str:\n 41→ \"\"\"Remove sensitive information from output lines.\"\"\"\n 42→ for pattern in SENSITIVE_PATTERNS:\n 43→ line = re.sub(pattern, '[REDACTED]', line, flags=re.IGNORECASE)\n 44→ return line\n 45→\n 46→\n 47→class AgentProcessManager:\n 48→ \"\"\"\n 49→ Manages agent subprocess lifecycle for a single project.\n 50→\n 51→ Provides start/stop/pause/resume with cross-platform support via psutil.\n 52→ Supports multiple output callbacks for WebSocket clients.\n 53→ \"\"\"\n 54→\n 55→ def __init__(\n 56→ self,\n 57→ project_name: str,\n 58→ project_dir: Path,\n 59→ root_dir: Path,\n 60→ ):\n 61→ \"\"\"\n 62→ Initialize the process manager.\n 63→\n 64→ Args:\n 65→ project_name: Name of the project\n 66→ project_dir: Absolute path to the project directory\n 67→ root_dir: Root directory of the autonomous-coding-ui project\n 68→ \"\"\"\n 69→ self.project_name = project_name\n 70→ self.project_dir = project_dir\n 71→ self.root_dir = root_dir\n 72→ self.process: subprocess.Popen | None = None\n 73→ self._status: Literal[\"stopped\", \"running\", \"paused\", \"crashed\"] = \"stopped\"\n 74→ self.started_at: datetime | None = None\n 75→ self._output_task: asyncio.Task | None = None\n 76→ self.yolo_mode: bool = False # YOLO mode for rapid prototyping\n 77→\n 78→ # Support multiple callbacks (for multiple WebSocket clients)\n 79→ self._output_callbacks: Set[Callable[[str], Awaitable[None]]] = set()\n 80→ self._status_callbacks: Set[Callable[[str], Awaitable[None]]] = set()\n 81→ self._callbacks_lock = threading.Lock()\n 82→\n 83→ # Lock file to prevent multiple instances (stored in project directory)\n 84→ self.lock_file = self.project_dir / \".agent.lock\"\n 85→\n 86→ @property\n 87→ def status(self) -> Literal[\"stopped\", \"running\", \"paused\", \"crashed\"]:\n 88→ return self._status\n 89→\n 90→ @status.setter\n 91→ def status(self, value: Literal[\"stopped\", \"running\", \"paused\", \"crashed\"]):\n 92→ old_status = self._status\n 93→ self._status = value\n 94→ if old_status != value:\n 95→ self._notify_status_change(value)\n 96→\n 97→ def _notify_status_change(self, status: str) -> None:\n 98→ \"\"\"Notify all registered callbacks of status change.\"\"\"\n 99→ with self._callbacks_lock:\n 100→ callbacks = list(self._status_callbacks)\n 101→\n 102→ for callback in callbacks:\n 103→ try:\n 104→ # Schedule the callback in the event loop\n 105→ loop = asyncio.get_running_loop()\n 106→ loop.create_task(self._safe_callback(callback, status))\n 107→ except RuntimeError:\n 108→ # No running event loop\n 109→ pass\n 110→\n 111→ async def _safe_callback(self, callback: Callable, *args) -> None:\n 112→ \"\"\"Safely execute a callback, catching and logging any errors.\"\"\"\n 113→ try:\n 114→ await callback(*args)\n 115→ except Exception as e:\n 116→ logger.warning(f\"Callback error: {e}\")\n 117→\n 118→ def add_output_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:\n 119→ \"\"\"Add a callback for output lines.\"\"\"\n 120→ with self._callbacks_lock:\n 121→ self._output_callbacks.add(callback)\n 122→\n 123→ def remove_output_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:\n 124→ \"\"\"Remove an output callback.\"\"\"\n 125→ with self._callbacks_lock:\n 126→ self._output_callbacks.discard(callback)\n 127→\n 128→ def add_status_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:\n 129→ \"\"\"Add a callback for status changes.\"\"\"\n 130→ with self._callbacks_lock:\n 131→ self._status_callbacks.add(callback)\n 132→\n 133→ def remove_status_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:\n 134→ \"\"\"Remove a status callback.\"\"\"\n 135→ with self._callbacks_lock:\n 136→ self._status_callbacks.discard(callback)\n 137→\n 138→ @property\n 139→ def pid(self) -> int | None:\n 140→ return self.process.pid if self.process else None\n 141→\n 142→ def _check_lock(self) -> bool:\n 143→ \"\"\"Check if another agent is already running for this project.\"\"\"\n 144→ if not self.lock_file.exists():\n 145→ return True\n 146→\n 147→ try:\n 148→ pid = int(self.lock_file.read_text().strip())\n 149→ if psutil.pid_exists(pid):\n 150→ # Check if it's actually our agent process\n 151→ try:\n 152→ proc = psutil.Process(pid)\n 153→ cmdline = \" \".join(proc.cmdline())\n 154→ if \"autonomous_agent_demo.py\" in cmdline:\n 155→ return False # Another agent is running\n 156→ except (psutil.NoSuchProcess, psutil.AccessDenied):\n 157→ pass\n 158→ # Stale lock file\n 159→ self.lock_file.unlink(missing_ok=True)\n 160→ return True\n 161→ except (ValueError, OSError):\n 162→ self.lock_file.unlink(missing_ok=True)\n 163→ return True\n 164→\n 165→ def _create_lock(self) -> None:\n 166→ \"\"\"Create lock file with current process PID.\"\"\"\n 167→ self.lock_file.parent.mkdir(parents=True, exist_ok=True)\n 168→ if self.process:\n 169→ self.lock_file.write_text(str(self.process.pid))\n 170→\n 171→ def _remove_lock(self) -> None:\n 172→ \"\"\"Remove lock file.\"\"\"\n 173→ self.lock_file.unlink(missing_ok=True)\n 174→\n 175→ async def _broadcast_output(self, line: str) -> None:\n 176→ \"\"\"Broadcast output line to all registered callbacks.\"\"\"\n 177→ with self._callbacks_lock:\n 178→ callbacks = list(self._output_callbacks)\n 179→\n 180→ for callback in callbacks:\n 181→ await self._safe_callback(callback, line)\n 182→\n 183→ async def _stream_output(self) -> None:\n 184→ \"\"\"Stream process output to callbacks.\"\"\"\n 185→ if not self.process or not self.process.stdout:\n 186→ return\n 187→\n 188→ try:\n 189→ loop = asyncio.get_running_loop()\n 190→ while True:\n 191→ # Use run_in_executor for blocking readline\n 192→ line = await loop.run_in_executor(\n 193→ None, self.process.stdout.readline\n 194→ )\n 195→ if not line:\n 196→ break\n 197→\n 198→ decoded = line.decode(\"utf-8\", errors=\"replace\").rstrip()\n 199→ sanitized = sanitize_output(decoded)\n 200→\n 201→ await self._broadcast_output(sanitized)\n 202→\n 203→ except asyncio.CancelledError:\n 204→ raise\n 205→ except Exception as e:\n 206→ logger.warning(f\"Output streaming error: {e}\")\n 207→ finally:\n 208→ # Check if process ended\n 209→ if self.process and self.process.poll() is not None:\n 210→ exit_code = self.process.returncode\n 211→ if exit_code != 0 and self.status == \"running\":\n 212→ self.status = \"crashed\"\n 213→ elif self.status == \"running\":\n 214→ self.status = \"stopped\"\n 215→ self._remove_lock()\n 216→\n 217→ async def start(self, yolo_mode: bool = False) -> tuple[bool, str]:\n 218→ \"\"\"\n 219→ Start the agent as a subprocess.\n 220→\n 221→ Args:\n 222→ yolo_mode: If True, run in YOLO mode (no browser testing)\n 223→\n 224→ Returns:\n 225→ Tuple of (success, message)\n 226→ \"\"\"\n 227→ if self.status in (\"running\", \"paused\"):\n 228→ return False, f\"Agent is already {self.status}\"\n 229→\n 230→ if not self._check_lock():\n 231→ return False, \"Another agent instance is already running for this project\"\n 232→\n 233→ # Store YOLO mode for status queries\n 234→ self.yolo_mode = yolo_mode\n 235→\n 236→ # Build command - pass absolute path to project directory\n 237→ cmd = [\n 238→ sys.executable,\n 239→ str(self.root_dir / \"autonomous_agent_demo.py\"),\n 240→ \"--project-dir\",\n 241→ str(self.project_dir.resolve()),\n 242→ ]\n 243→\n 244→ # Add --yolo flag if YOLO mode is enabled\n 245→ if yolo_mode:\n 246→ cmd.append(\"--yolo\")\n 247→\n 248→ try:\n 249→ # Start subprocess with piped stdout/stderr\n 250→ # Use project_dir as cwd so Claude SDK sandbox allows access to project files\n 251→ self.process = subprocess.Popen(\n 252→ cmd,\n 253→ stdout=subprocess.PIPE,\n 254→ stderr=subprocess.STDOUT,\n 255→ cwd=str(self.project_dir),\n 256→ )\n 257→\n 258→ self._create_lock()\n 259→ self.started_at = datetime.now()\n 260→ self.status = \"running\"\n 261→\n 262→ # Start output streaming task\n 263→ self._output_task = asyncio.create_task(self._stream_output())\n 264→\n 265→ return True, f\"Agent started with PID {self.process.pid}\"\n 266→ except Exception as e:\n 267→ logger.exception(\"Failed to start agent\")\n 268→ return False, f\"Failed to start agent: {e}\"\n 269→\n 270→ def _kill_process_tree(self, pid: int, timeout: float = 5.0) -> int:\n 271→ \"\"\"\n 272→ Kill a process and all its children recursively.\n 273→\n 274→ Args:\n 275→ pid: Process ID to kill\n 276→ timeout: Seconds to wait for graceful termination\n 277→\n 278→ Returns:\n 279→ Number of processes killed\n 280→ \"\"\"\n 281→ killed_count = 0\n 282→ try:\n 283→ parent = psutil.Process(pid)\n 284→ # Get all children recursively BEFORE killing parent\n 285→ children = parent.children(recursive=True)\n 286→\n 287→ # Terminate parent first\n 288→ parent.terminate()\n 289→\n 290→ # Terminate all children\n 291→ for child in children:\n 292→ try:\n 293→ child.terminate()\n 294→ except psutil.NoSuchProcess:\n 295→ pass\n 296→\n 297→ # Wait for graceful shutdown\n 298→ gone, alive = psutil.wait_procs([parent] + children, timeout=timeout)\n 299→ killed_count = len(gone)\n 300→\n 301→ # Force kill any survivors\n 302→ for proc in alive:\n 303→ try:\n 304→ logger.warning(f\"Force killing process {proc.pid}\")\n 305→ proc.kill()\n 306→ killed_count += 1\n 307→ except psutil.NoSuchProcess:\n 308→ pass\n 309→\n 310→ except psutil.NoSuchProcess:\n 311→ pass # Already dead\n 312→ except Exception as e:\n 313→ logger.warning(f\"Error killing process tree: {e}\")\n 314→\n 315→ return killed_count\n 316→\n 317→ async def stop(self) -> tuple[bool, str]:\n 318→ \"\"\"\n 319→ Stop the agent and all child processes (MCP servers, etc).\n 320→\n 321→ Returns:\n 322→ Tuple of (success, message)\n 323→ \"\"\"\n 324→ if not self.process or self.status == \"stopped\":\n 325→ return False, \"Agent is not running\"\n 326→\n 327→ try:\n 328→ # Cancel output streaming\n 329→ if self._output_task:\n 330→ self._output_task.cancel()\n 331→ try:\n 332→ await self._output_task\n 333→ except asyncio.CancelledError:\n 334→ pass\n 335→\n 336→ # Kill entire process tree (agent + MCP servers + any children)\n 337→ pid = self.process.pid\n 338→ loop = asyncio.get_running_loop()\n 339→ killed = await loop.run_in_executor(\n 340→ None, self._kill_process_tree, pid, 5.0\n 341→ )\n 342→\n 343→ logger.info(f\"Killed {killed} processes in tree for {self.project_name}\")\n 344→\n 345→ self._remove_lock()\n 346→ self.status = \"stopped\"\n 347→ self.process = None\n 348→ self.started_at = None\n 349→ self.yolo_mode = False # Reset YOLO mode\n 350→\n 351→ return True, f\"Agent stopped ({killed} processes terminated)\"\n 352→ except Exception as e:\n 353→ logger.exception(\"Failed to stop agent\")\n 354→ return False, f\"Failed to stop agent: {e}\"\n 355→\n 356→ async def pause(self) -> tuple[bool, str]:\n 357→ \"\"\"\n 358→ Pause the agent using psutil for cross-platform support.\n 359→\n 360→ Returns:\n 361→ Tuple of (success, message)\n 362→ \"\"\"\n 363→ if not self.process or self.status != \"running\":\n 364→ return False, \"Agent is not running\"\n 365→\n 366→ try:\n 367→ proc = psutil.Process(self.process.pid)\n 368→ proc.suspend()\n 369→ self.status = \"paused\"\n 370→ return True, \"Agent paused\"\n 371→ except psutil.NoSuchProcess:\n 372→ self.status = \"crashed\"\n 373→ self._remove_lock()\n 374→ return False, \"Agent process no longer exists\"\n 375→ except Exception as e:\n 376→ logger.exception(\"Failed to pause agent\")\n 377→ return False, f\"Failed to pause agent: {e}\"\n 378→\n 379→ async def resume(self) -> tuple[bool, str]:\n 380→ \"\"\"\n 381→ Resume a paused agent.\n 382→\n 383→ Returns:\n 384→ Tuple of (success, message)\n 385→ \"\"\"\n 386→ if not self.process or self.status != \"paused\":\n 387→ return False, \"Agent is not paused\"\n 388→\n 389→ try:\n 390→ proc = psutil.Process(self.process.pid)\n 391→ proc.resume()\n 392→ self.status = \"running\"\n 393→ return True, \"Agent resumed\"\n 394→ except psutil.NoSuchProcess:\n 395→ self.status = \"crashed\"\n 396→ self._remove_lock()\n 397→ return False, \"Agent process no longer exists\"\n 398→ except Exception as e:\n 399→ logger.exception(\"Failed to resume agent\")\n 400→ return False, f\"Failed to resume agent: {e}\"\n 401→\n 402→ async def healthcheck(self) -> bool:\n 403→ \"\"\"\n 404→ Check if the agent process is still alive.\n 405→\n 406→ Updates status to 'crashed' if process has died unexpectedly.\n 407→\n 408→ Returns:\n 409→ True if healthy, False otherwise\n 410→ \"\"\"\n 411→ if not self.process:\n 412→ return self.status == \"stopped\"\n 413→\n 414→ poll = self.process.poll()\n 415→ if poll is not None:\n 416→ # Process has terminated\n 417→ if self.status in (\"running\", \"paused\"):\n 418→ self.status = \"crashed\"\n 419→ self._remove_lock()\n 420→ return False\n 421→\n 422→ return True\n 423→\n 424→ def get_status_dict(self) -> dict:\n 425→ \"\"\"Get current status as a dictionary.\"\"\"\n 426→ return {\n 427→ \"status\": self.status,\n 428→ \"pid\": self.pid,\n 429→ \"started_at\": self.started_at.isoformat() if self.started_at else None,\n 430→ \"yolo_mode\": self.yolo_mode,\n 431→ }\n 432→\n 433→\n 434→# Global registry of process managers per project with thread safety\n 435→_managers: dict[str, AgentProcessManager] = {}\n 436→_managers_lock = threading.Lock()\n 437→\n 438→\n 439→def get_manager(project_name: str, project_dir: Path, root_dir: Path) -> AgentProcessManager:\n 440→ \"\"\"Get or create a process manager for a project (thread-safe).\n 441→\n 442→ Args:\n 443→ project_name: Name of the project\n 444→ project_dir: Absolute path to the project directory\n 445→ root_dir: Root directory of the autonomous-coding-ui project\n 446→ \"\"\"\n 447→ with _managers_lock:\n 448→ if project_name not in _managers:\n 449→ _managers[project_name] = AgentProcessManager(project_name, project_dir, root_dir)\n 450→ return _managers[project_name]\n 451→\n 452→\n 453→async def cleanup_all_managers() -> None:\n 454→ \"\"\"Stop all running agents. Called on server shutdown.\"\"\"\n 455→ with _managers_lock:\n 456→ managers = list(_managers.values())\n 457→\n 458→ for manager in managers:\n 459→ try:\n 460→ if manager.status != \"stopped\":\n 461→ await manager.stop()\n 462→ except Exception as e:\n 463→ logger.warning(f\"Error stopping manager for {manager.project_name}: {e}\")\n 464→\n 465→ with _managers_lock:\n 466→ _managers.clear()\n 467→\n 468→\n 469→def find_orphan_processes() -> list[dict]:\n 470→ \"\"\"\n 471→ Find orphaned Autocoder-related processes.\n 472→\n 473→ Returns:\n 474→ List of dicts with pid, name, cmdline, create_time\n 475→ \"\"\"\n 476→ orphans = []\n 477→ patterns = [\n 478→ \"autonomous_agent_demo.py\",\n 479→ \"feature_mcp\",\n 480→ \"@playwright/mcp\",\n 481→ \"mcp_server\",\n 482→ ]\n 483→\n 484→ for proc in psutil.process_iter(['pid', 'name', 'cmdline', 'create_time', 'ppid']):\n 485→ try:\n 486→ info = proc.info\n 487→ cmdline = \" \".join(info.get('cmdline') or [])\n 488→\n 489→ # Check if it matches our patterns\n 490→ if any(p in cmdline for p in patterns):\n 491→ # Check if parent is init/systemd (orphaned) or if parent doesn't exist\n 492→ ppid = info.get('ppid', 0)\n 493→ is_orphan = ppid in (0, 1) or not psutil.pid_exists(ppid)\n 494→\n 495→ # Also check if it's not tracked by any manager\n 496→ with _managers_lock:\n 497→ tracked_pids = {m.pid for m in _managers.values() if m.pid}\n 498→\n 499→ if is_orphan or info['pid'] not in tracked_pids:\n 500→ orphans.append({\n 501→ 'pid': info['pid'],\n 502→ 'name': info['name'],\n 503→ 'cmdline': cmdline[:200], # Truncate for display\n 504→ 'create_time': info['create_time'],\n 505→ 'is_orphan': is_orphan,\n 506→ })\n 507→ except (psutil.NoSuchProcess, psutil.AccessDenied):\n 508→ continue\n 509→\n 510→ return orphans\n 511→\n 512→\n 513→def kill_orphan_processes() -> dict:\n 514→ \"\"\"\n 515→ Find and kill orphaned Autocoder-related processes.\n 516→\n 517→ Returns:\n 518→ Dict with counts of found, killed, failed\n 519→ \"\"\"\n 520→ orphans = find_orphan_processes()\n 521→ results = {'found': len(orphans), 'killed': 0, 'failed': 0, 'details': []}\n 522→\n 523→ for orphan in orphans:\n 524→ try:\n 525→ proc = psutil.Process(orphan['pid'])\n 526→ # Kill the process and its children\n 527→ children = proc.children(recursive=True)\n 528→ for child in children:\n 529→ try:\n 530→ child.kill()\n 531→ except psutil.NoSuchProcess:\n 532→ pass\n 533→ proc.kill()\n 534→ results['killed'] += 1\n 535→ results['details'].append({\n 536→ 'pid': orphan['pid'],\n 537→ 'status': 'killed',\n 538→ 'cmdline': orphan['cmdline'][:100]\n 539→ })\n 540→ logger.info(f\"Killed orphan process {orphan['pid']}: {orphan['cmdline'][:50]}\")\n 541→ except psutil.NoSuchProcess:\n 542→ results['killed'] += 1 # Already dead, count as success\n 543→ except Exception as e:\n 544→ results['failed'] += 1\n 545→ results['details'].append({\n 546→ 'pid': orphan['pid'],\n 547→ 'status': 'failed',\n 548→ 'error': str(e)\n 549→ })\n 550→ logger.warning(f\"Failed to kill orphan {orphan['pid']}: {e}\")\n 551→\n 552→ return results\n 553→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"55d46149-8471-4f08-8759-bc6df2990258","timestamp":"2026-01-11T16:26:29.016Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\server\\services\\process_manager.py","content":"\"\"\"\nAgent Process Manager\n=====================\n\nManages the lifecycle of agent subprocesses per project.\nProvides start/stop/pause/resume functionality with cross-platform support.\n\"\"\"\n\nimport asyncio\nimport logging\nimport re\nimport subprocess\nimport sys\nimport threading\nfrom datetime import datetime\nfrom pathlib import Path\nfrom typing import Awaitable, Callable, Literal, Set\n\nimport psutil\n\nlogger = logging.getLogger(__name__)\n\n# Patterns for sensitive data that should be redacted from output\nSENSITIVE_PATTERNS = [\n r'sk-[a-zA-Z0-9]{20,}', # Anthropic API keys\n r'ANTHROPIC_API_KEY=[^\\s]+',\n r'api[_-]?key[=:][^\\s]+',\n r'token[=:][^\\s]+',\n r'password[=:][^\\s]+',\n r'secret[=:][^\\s]+',\n r'ghp_[a-zA-Z0-9]{36,}', # GitHub personal access tokens\n r'gho_[a-zA-Z0-9]{36,}', # GitHub OAuth tokens\n r'ghs_[a-zA-Z0-9]{36,}', # GitHub server tokens\n r'ghr_[a-zA-Z0-9]{36,}', # GitHub refresh tokens\n r'aws[_-]?access[_-]?key[=:][^\\s]+', # AWS keys\n r'aws[_-]?secret[=:][^\\s]+',\n]\n\n\ndef sanitize_output(line: str) -> str:\n \"\"\"Remove sensitive information from output lines.\"\"\"\n for pattern in SENSITIVE_PATTERNS:\n line = re.sub(pattern, '[REDACTED]', line, flags=re.IGNORECASE)\n return line\n\n\nclass AgentProcessManager:\n \"\"\"\n Manages agent subprocess lifecycle for a single project.\n\n Provides start/stop/pause/resume with cross-platform support via psutil.\n Supports multiple output callbacks for WebSocket clients.\n \"\"\"\n\n def __init__(\n self,\n project_name: str,\n project_dir: Path,\n root_dir: Path,\n ):\n \"\"\"\n Initialize the process manager.\n\n Args:\n project_name: Name of the project\n project_dir: Absolute path to the project directory\n root_dir: Root directory of the autonomous-coding-ui project\n \"\"\"\n self.project_name = project_name\n self.project_dir = project_dir\n self.root_dir = root_dir\n self.process: subprocess.Popen | None = None\n self._status: Literal[\"stopped\", \"running\", \"paused\", \"crashed\"] = \"stopped\"\n self.started_at: datetime | None = None\n self._output_task: asyncio.Task | None = None\n self.yolo_mode: bool = False # YOLO mode for rapid prototyping\n\n # Support multiple callbacks (for multiple WebSocket clients)\n self._output_callbacks: Set[Callable[[str], Awaitable[None]]] = set()\n self._status_callbacks: Set[Callable[[str], Awaitable[None]]] = set()\n self._callbacks_lock = threading.Lock()\n\n # Lock file to prevent multiple instances (stored in project directory)\n self.lock_file = self.project_dir / \".agent.lock\"\n\n @property\n def status(self) -> Literal[\"stopped\", \"running\", \"paused\", \"crashed\"]:\n return self._status\n\n @status.setter\n def status(self, value: Literal[\"stopped\", \"running\", \"paused\", \"crashed\"]):\n old_status = self._status\n self._status = value\n if old_status != value:\n self._notify_status_change(value)\n\n def _notify_status_change(self, status: str) -> None:\n \"\"\"Notify all registered callbacks of status change.\"\"\"\n with self._callbacks_lock:\n callbacks = list(self._status_callbacks)\n\n for callback in callbacks:\n try:\n # Schedule the callback in the event loop\n loop = asyncio.get_running_loop()\n loop.create_task(self._safe_callback(callback, status))\n except RuntimeError:\n # No running event loop\n pass\n\n async def _safe_callback(self, callback: Callable, *args) -> None:\n \"\"\"Safely execute a callback, catching and logging any errors.\"\"\"\n try:\n await callback(*args)\n except Exception as e:\n logger.warning(f\"Callback error: {e}\")\n\n def add_output_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:\n \"\"\"Add a callback for output lines.\"\"\"\n with self._callbacks_lock:\n self._output_callbacks.add(callback)\n\n def remove_output_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:\n \"\"\"Remove an output callback.\"\"\"\n with self._callbacks_lock:\n self._output_callbacks.discard(callback)\n\n def add_status_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:\n \"\"\"Add a callback for status changes.\"\"\"\n with self._callbacks_lock:\n self._status_callbacks.add(callback)\n\n def remove_status_callback(self, callback: Callable[[str], Awaitable[None]]) -> None:\n \"\"\"Remove a status callback.\"\"\"\n with self._callbacks_lock:\n self._status_callbacks.discard(callback)\n\n @property\n def pid(self) -> int | None:\n return self.process.pid if self.process else None\n\n def _check_lock(self) -> bool:\n \"\"\"Check if another agent is already running for this project.\"\"\"\n if not self.lock_file.exists():\n return True\n\n try:\n pid = int(self.lock_file.read_text().strip())\n if psutil.pid_exists(pid):\n # Check if it's actually our agent process\n try:\n proc = psutil.Process(pid)\n cmdline = \" \".join(proc.cmdline())\n if \"autonomous_agent_demo.py\" in cmdline:\n return False # Another agent is running\n except (psutil.NoSuchProcess, psutil.AccessDenied):\n pass\n # Stale lock file\n self.lock_file.unlink(missing_ok=True)\n return True\n except (ValueError, OSError):\n self.lock_file.unlink(missing_ok=True)\n return True\n\n def _create_lock(self) -> None:\n \"\"\"Create lock file with current process PID.\"\"\"\n self.lock_file.parent.mkdir(parents=True, exist_ok=True)\n if self.process:\n self.lock_file.write_text(str(self.process.pid))\n\n def _remove_lock(self) -> None:\n \"\"\"Remove lock file.\"\"\"\n self.lock_file.unlink(missing_ok=True)\n\n async def _broadcast_output(self, line: str) -> None:\n \"\"\"Broadcast output line to all registered callbacks.\"\"\"\n with self._callbacks_lock:\n callbacks = list(self._output_callbacks)\n\n for callback in callbacks:\n await self._safe_callback(callback, line)\n\n async def _stream_output(self) -> None:\n \"\"\"Stream process output to callbacks.\"\"\"\n if not self.process or not self.process.stdout:\n return\n\n try:\n loop = asyncio.get_running_loop()\n while True:\n # Use run_in_executor for blocking readline\n line = await loop.run_in_executor(\n None, self.process.stdout.readline\n )\n if not line:\n break\n\n decoded = line.decode(\"utf-8\", errors=\"replace\").rstrip()\n sanitized = sanitize_output(decoded)\n\n await self._broadcast_output(sanitized)\n\n except asyncio.CancelledError:\n raise\n except Exception as e:\n logger.warning(f\"Output streaming error: {e}\")\n finally:\n # Check if process ended\n if self.process and self.process.poll() is not None:\n exit_code = self.process.returncode\n if exit_code != 0 and self.status == \"running\":\n self.status = \"crashed\"\n elif self.status == \"running\":\n self.status = \"stopped\"\n self._remove_lock()\n\n async def start(self, yolo_mode: bool = False) -> tuple[bool, str]:\n \"\"\"\n Start the agent as a subprocess.\n\n Args:\n yolo_mode: If True, run in YOLO mode (no browser testing)\n\n Returns:\n Tuple of (success, message)\n \"\"\"\n if self.status in (\"running\", \"paused\"):\n return False, f\"Agent is already {self.status}\"\n\n if not self._check_lock():\n return False, \"Another agent instance is already running for this project\"\n\n # Store YOLO mode for status queries\n self.yolo_mode = yolo_mode\n\n # Build command - pass absolute path to project directory\n cmd = [\n sys.executable,\n str(self.root_dir / \"autonomous_agent_demo.py\"),\n \"--project-dir\",\n str(self.project_dir.resolve()),\n ]\n\n # Add --yolo flag if YOLO mode is enabled\n if yolo_mode:\n cmd.append(\"--yolo\")\n\n try:\n # Start subprocess with piped stdout/stderr\n # Use project_dir as cwd so Claude SDK sandbox allows access to project files\n self.process = subprocess.Popen(\n cmd,\n stdout=subprocess.PIPE,\n stderr=subprocess.STDOUT,\n cwd=str(self.project_dir),\n )\n\n self._create_lock()\n self.started_at = datetime.now()\n self.status = \"running\"\n\n # Start output streaming task\n self._output_task = asyncio.create_task(self._stream_output())\n\n return True, f\"Agent started with PID {self.process.pid}\"\n except Exception as e:\n logger.exception(\"Failed to start agent\")\n return False, f\"Failed to start agent: {e}\"\n\n def _kill_process_tree(self, pid: int, timeout: float = 5.0) -> int:\n \"\"\"\n Kill a process and all its children recursively.\n\n Args:\n pid: Process ID to kill\n timeout: Seconds to wait for graceful termination\n\n Returns:\n Number of processes killed\n \"\"\"\n killed_count = 0\n try:\n parent = psutil.Process(pid)\n # Get all children recursively BEFORE killing parent\n children = parent.children(recursive=True)\n\n # Terminate parent first\n parent.terminate()\n\n # Terminate all children\n for child in children:\n try:\n child.terminate()\n except psutil.NoSuchProcess:\n pass\n\n # Wait for graceful shutdown\n gone, alive = psutil.wait_procs([parent] + children, timeout=timeout)\n killed_count = len(gone)\n\n # Force kill any survivors\n for proc in alive:\n try:\n logger.warning(f\"Force killing process {proc.pid}\")\n proc.kill()\n killed_count += 1\n except psutil.NoSuchProcess:\n pass\n\n except psutil.NoSuchProcess:\n pass # Already dead\n except Exception as e:\n logger.warning(f\"Error killing process tree: {e}\")\n\n return killed_count\n\n async def stop(self) -> tuple[bool, str]:\n \"\"\"\n Stop the agent and all child processes (MCP servers, etc).\n\n Returns:\n Tuple of (success, message)\n \"\"\"\n if not self.process or self.status == \"stopped\":\n return False, \"Agent is not running\"\n\n try:\n # Cancel output streaming\n if self._output_task:\n self._output_task.cancel()\n try:\n await self._output_task\n except asyncio.CancelledError:\n pass\n\n # Kill entire process tree (agent + MCP servers + any children)\n pid = self.process.pid\n loop = asyncio.get_running_loop()\n killed = await loop.run_in_executor(\n None, self._kill_process_tree, pid, 5.0\n )\n\n logger.info(f\"Killed {killed} processes in tree for {self.project_name}\")\n\n self._remove_lock()\n self.status = \"stopped\"\n self.process = None\n self.started_at = None\n self.yolo_mode = False # Reset YOLO mode\n\n return True, f\"Agent stopped ({killed} processes terminated)\"\n except Exception as e:\n logger.exception(\"Failed to stop agent\")\n return False, f\"Failed to stop agent: {e}\"\n\n async def pause(self) -> tuple[bool, str]:\n \"\"\"\n Pause the agent using psutil for cross-platform support.\n\n Returns:\n Tuple of (success, message)\n \"\"\"\n if not self.process or self.status != \"running\":\n return False, \"Agent is not running\"\n\n try:\n proc = psutil.Process(self.process.pid)\n proc.suspend()\n self.status = \"paused\"\n return True, \"Agent paused\"\n except psutil.NoSuchProcess:\n self.status = \"crashed\"\n self._remove_lock()\n return False, \"Agent process no longer exists\"\n except Exception as e:\n logger.exception(\"Failed to pause agent\")\n return False, f\"Failed to pause agent: {e}\"\n\n async def resume(self) -> tuple[bool, str]:\n \"\"\"\n Resume a paused agent.\n\n Returns:\n Tuple of (success, message)\n \"\"\"\n if not self.process or self.status != \"paused\":\n return False, \"Agent is not paused\"\n\n try:\n proc = psutil.Process(self.process.pid)\n proc.resume()\n self.status = \"running\"\n return True, \"Agent resumed\"\n except psutil.NoSuchProcess:\n self.status = \"crashed\"\n self._remove_lock()\n return False, \"Agent process no longer exists\"\n except Exception as e:\n logger.exception(\"Failed to resume agent\")\n return False, f\"Failed to resume agent: {e}\"\n\n async def healthcheck(self) -> bool:\n \"\"\"\n Check if the agent process is still alive.\n\n Updates status to 'crashed' if process has died unexpectedly.\n\n Returns:\n True if healthy, False otherwise\n \"\"\"\n if not self.process:\n return self.status == \"stopped\"\n\n poll = self.process.poll()\n if poll is not None:\n # Process has terminated\n if self.status in (\"running\", \"paused\"):\n self.status = \"crashed\"\n self._remove_lock()\n return False\n\n return True\n\n def get_status_dict(self) -> dict:\n \"\"\"Get current status as a dictionary.\"\"\"\n return {\n \"status\": self.status,\n \"pid\": self.pid,\n \"started_at\": self.started_at.isoformat() if self.started_at else None,\n \"yolo_mode\": self.yolo_mode,\n }\n\n\n# Global registry of process managers per project with thread safety\n_managers: dict[str, AgentProcessManager] = {}\n_managers_lock = threading.Lock()\n\n\ndef get_manager(project_name: str, project_dir: Path, root_dir: Path) -> AgentProcessManager:\n \"\"\"Get or create a process manager for a project (thread-safe).\n\n Args:\n project_name: Name of the project\n project_dir: Absolute path to the project directory\n root_dir: Root directory of the autonomous-coding-ui project\n \"\"\"\n with _managers_lock:\n if project_name not in _managers:\n _managers[project_name] = AgentProcessManager(project_name, project_dir, root_dir)\n return _managers[project_name]\n\n\nasync def cleanup_all_managers() -> None:\n \"\"\"Stop all running agents. Called on server shutdown.\"\"\"\n with _managers_lock:\n managers = list(_managers.values())\n\n for manager in managers:\n try:\n if manager.status != \"stopped\":\n await manager.stop()\n except Exception as e:\n logger.warning(f\"Error stopping manager for {manager.project_name}: {e}\")\n\n with _managers_lock:\n _managers.clear()\n\n\ndef find_orphan_processes() -> list[dict]:\n \"\"\"\n Find orphaned Autocoder-related processes.\n\n Returns:\n List of dicts with pid, name, cmdline, create_time\n \"\"\"\n orphans = []\n patterns = [\n \"autonomous_agent_demo.py\",\n \"feature_mcp\",\n \"@playwright/mcp\",\n \"mcp_server\",\n ]\n\n for proc in psutil.process_iter(['pid', 'name', 'cmdline', 'create_time', 'ppid']):\n try:\n info = proc.info\n cmdline = \" \".join(info.get('cmdline') or [])\n\n # Check if it matches our patterns\n if any(p in cmdline for p in patterns):\n # Check if parent is init/systemd (orphaned) or if parent doesn't exist\n ppid = info.get('ppid', 0)\n is_orphan = ppid in (0, 1) or not psutil.pid_exists(ppid)\n\n # Also check if it's not tracked by any manager\n with _managers_lock:\n tracked_pids = {m.pid for m in _managers.values() if m.pid}\n\n if is_orphan or info['pid'] not in tracked_pids:\n orphans.append({\n 'pid': info['pid'],\n 'name': info['name'],\n 'cmdline': cmdline[:200], # Truncate for display\n 'create_time': info['create_time'],\n 'is_orphan': is_orphan,\n })\n except (psutil.NoSuchProcess, psutil.AccessDenied):\n continue\n\n return orphans\n\n\ndef kill_orphan_processes() -> dict:\n \"\"\"\n Find and kill orphaned Autocoder-related processes.\n\n Returns:\n Dict with counts of found, killed, failed\n \"\"\"\n orphans = find_orphan_processes()\n results = {'found': len(orphans), 'killed': 0, 'failed': 0, 'details': []}\n\n for orphan in orphans:\n try:\n proc = psutil.Process(orphan['pid'])\n # Kill the process and its children\n children = proc.children(recursive=True)\n for child in children:\n try:\n child.kill()\n except psutil.NoSuchProcess:\n pass\n proc.kill()\n results['killed'] += 1\n results['details'].append({\n 'pid': orphan['pid'],\n 'status': 'killed',\n 'cmdline': orphan['cmdline'][:100]\n })\n logger.info(f\"Killed orphan process {orphan['pid']}: {orphan['cmdline'][:50]}\")\n except psutil.NoSuchProcess:\n results['killed'] += 1 # Already dead, count as success\n except Exception as e:\n results['failed'] += 1\n results['details'].append({\n 'pid': orphan['pid'],\n 'status': 'failed',\n 'error': str(e)\n })\n logger.warning(f\"Failed to kill orphan {orphan['pid']}: {e}\")\n\n return results\n","numLines":553,"startLine":1,"totalLines":553}},"sourceToolAssistantUUID":"d3887cdc-6211-4947-af23-a4a13f8df30d"}
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are truncated. Consider using a more specific path or 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{"parentUuid":"b21049dd-0259-4c20-8a7b-11deebcde1af","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_014ZhYHo7yNqc5ERSa4bSyAF","type":"tool_result","content":" 1→#!/usr/bin/env python3\n 2→\"\"\"\n 3→MCP Server for Feature Management\n 4→==================================\n 5→\n 6→Provides tools to manage features in the autonomous coding system,\n 7→replacing the previous FastAPI-based REST API.\n 8→\n 9→Tools:\n 10→- feature_get_stats: Get progress statistics\n 11→- feature_get_next: Get next feature to implement\n 12→- feature_get_for_regression: Get random passing features for testing\n 13→- feature_mark_passing: Mark a feature as passing\n 14→- feature_skip: Skip a feature (move to end of queue)\n 15→- feature_mark_in_progress: Mark a feature as in-progress\n 16→- feature_clear_in_progress: Clear in-progress status\n 17→- feature_create_bulk: Create multiple features at once\n 18→\"\"\"\n 19→\n 20→import json\n 21→import os\n 22→import sys\n 23→from contextlib import asynccontextmanager\n 24→from pathlib import Path\n 25→from typing import Annotated\n 26→\n 27→from mcp.server.fastmcp import FastMCP\n 28→from pydantic import BaseModel, Field\n 29→from sqlalchemy.sql.expression import func\n 30→\n 31→# Add parent directory to path so we can import from api module\n 32→sys.path.insert(0, str(Path(__file__).parent.parent))\n 33→\n 34→from api.database import Feature, create_database\n 35→from api.migration import migrate_json_to_sqlite\n 36→\n 37→# Configuration from environment\n 38→PROJECT_DIR = Path(os.environ.get(\"PROJECT_DIR\", \".\")).resolve()\n 39→\n 40→\n 41→# Pydantic models for input validation\n 42→class MarkPassingInput(BaseModel):\n 43→ \"\"\"Input for marking a feature as passing.\"\"\"\n 44→ feature_id: int = Field(..., description=\"The ID of the feature to mark as passing\", ge=1)\n 45→\n 46→\n 47→class SkipFeatureInput(BaseModel):\n 48→ \"\"\"Input for skipping a feature.\"\"\"\n 49→ feature_id: int = Field(..., description=\"The ID of the feature to skip\", ge=1)\n 50→\n 51→\n 52→class MarkInProgressInput(BaseModel):\n 53→ \"\"\"Input for marking a feature as in-progress.\"\"\"\n 54→ feature_id: int = Field(..., description=\"The ID of the feature to mark as in-progress\", ge=1)\n 55→\n 56→\n 57→class ClearInProgressInput(BaseModel):\n 58→ \"\"\"Input for clearing in-progress status.\"\"\"\n 59→ feature_id: int = Field(..., description=\"The ID of the feature to clear in-progress status\", ge=1)\n 60→\n 61→\n 62→class RegressionInput(BaseModel):\n 63→ \"\"\"Input for getting regression features.\"\"\"\n 64→ limit: int = Field(default=3, ge=1, le=10, description=\"Maximum number of passing features to return\")\n 65→\n 66→\n 67→class FeatureCreateItem(BaseModel):\n 68→ \"\"\"Schema for creating a single feature.\"\"\"\n 69→ category: str = Field(..., min_length=1, max_length=100, description=\"Feature category\")\n 70→ name: str = Field(..., min_length=1, max_length=255, description=\"Feature name\")\n 71→ description: str = Field(..., min_length=1, description=\"Detailed description\")\n 72→ steps: list[str] = Field(..., min_length=1, description=\"Implementation/test steps\")\n 73→\n 74→\n 75→class BulkCreateInput(BaseModel):\n 76→ \"\"\"Input for bulk creating features.\"\"\"\n 77→ features: list[FeatureCreateItem] = Field(..., min_length=1, description=\"List of features to create\")\n 78→\n 79→\n 80→# Global database session maker (initialized on startup)\n 81→_session_maker = None\n 82→_engine = None\n 83→\n 84→\n 85→@asynccontextmanager\n 86→async def server_lifespan(server: FastMCP):\n 87→ \"\"\"Initialize database on startup, cleanup on shutdown.\"\"\"\n 88→ global _session_maker, _engine\n 89→\n 90→ # Create project directory if it doesn't exist\n 91→ PROJECT_DIR.mkdir(parents=True, exist_ok=True)\n 92→\n 93→ # Initialize database\n 94→ _engine, _session_maker = create_database(PROJECT_DIR)\n 95→\n 96→ # Run migration if needed (converts legacy JSON to SQLite)\n 97→ migrate_json_to_sqlite(PROJECT_DIR, _session_maker)\n 98→\n 99→ yield\n 100→\n 101→ # Cleanup\n 102→ if _engine:\n 103→ _engine.dispose()\n 104→\n 105→\n 106→# Initialize the MCP server\n 107→mcp = FastMCP(\"features\", lifespan=server_lifespan)\n 108→\n 109→\n 110→def get_session():\n 111→ \"\"\"Get a new database session.\"\"\"\n 112→ if _session_maker is None:\n 113→ raise RuntimeError(\"Database not initialized\")\n 114→ return _session_maker()\n 115→\n 116→\n 117→@mcp.tool()\n 118→def feature_get_stats() -> str:\n 119→ \"\"\"Get statistics about feature completion progress.\n 120→\n 121→ Returns the number of passing features, in-progress features, total features,\n 122→ and completion percentage. Use this to track overall progress of the implementation.\n 123→\n 124→ Returns:\n 125→ JSON with: passing (int), in_progress (int), total (int), percentage (float)\n 126→ \"\"\"\n 127→ session = get_session()\n 128→ try:\n 129→ total = session.query(Feature).count()\n 130→ passing = session.query(Feature).filter(Feature.passes == True).count()\n 131→ in_progress = session.query(Feature).filter(Feature.in_progress == True).count()\n 132→ percentage = round((passing / total) * 100, 1) if total > 0 else 0.0\n 133→\n 134→ return json.dumps({\n 135→ \"passing\": passing,\n 136→ \"in_progress\": in_progress,\n 137→ \"total\": total,\n 138→ \"percentage\": percentage\n 139→ }, indent=2)\n 140→ finally:\n 141→ session.close()\n 142→\n 143→\n 144→@mcp.tool()\n 145→def feature_get_next() -> str:\n 146→ \"\"\"Get the highest-priority pending feature to work on.\n 147→\n 148→ Returns the feature with the lowest priority number that has passes=false.\n 149→ Use this at the start of each coding session to determine what to implement next.\n 150→\n 151→ Returns:\n 152→ JSON with feature details (id, priority, category, name, description, steps, passes, in_progress)\n 153→ or error message if all features are passing.\n 154→ \"\"\"\n 155→ session = get_session()\n 156→ try:\n 157→ feature = (\n 158→ session.query(Feature)\n 159→ .filter(Feature.passes == False)\n 160→ .order_by(Feature.priority.asc(), Feature.id.asc())\n 161→ .first()\n 162→ )\n 163→\n 164→ if feature is None:\n 165→ return json.dumps({\"error\": \"All features are passing! No more work to do.\"})\n 166→\n 167→ return json.dumps(feature.to_dict(), indent=2)\n 168→ finally:\n 169→ session.close()\n 170→\n 171→\n 172→@mcp.tool()\n 173→def feature_get_for_regression(\n 174→ limit: Annotated[int, Field(default=3, ge=1, le=10, description=\"Maximum number of passing features to return\")] = 3\n 175→) -> str:\n 176→ \"\"\"Get random passing features for regression testing.\n 177→\n 178→ Returns a random selection of features that are currently passing.\n 179→ Use this to verify that previously implemented features still work\n 180→ after making changes.\n 181→\n 182→ Args:\n 183→ limit: Maximum number of features to return (1-10, default 3)\n 184→\n 185→ Returns:\n 186→ JSON with: features (list of feature objects), count (int)\n 187→ \"\"\"\n 188→ session = get_session()\n 189→ try:\n 190→ features = (\n 191→ session.query(Feature)\n 192→ .filter(Feature.passes == True)\n 193→ .order_by(func.random())\n 194→ .limit(limit)\n 195→ .all()\n 196→ )\n 197→\n 198→ return json.dumps({\n 199→ \"features\": [f.to_dict() for f in features],\n 200→ \"count\": len(features)\n 201→ }, indent=2)\n 202→ finally:\n 203→ session.close()\n 204→\n 205→\n 206→@mcp.tool()\n 207→def feature_mark_passing(\n 208→ feature_id: Annotated[int, Field(description=\"The ID of the feature to mark as passing\", ge=1)]\n 209→) -> str:\n 210→ \"\"\"Mark a feature as passing after successful implementation.\n 211→\n 212→ Updates the feature's passes field to true and clears the in_progress flag.\n 213→ Use this after you have implemented the feature and verified it works correctly.\n 214→\n 215→ Args:\n 216→ feature_id: The ID of the feature to mark as passing\n 217→\n 218→ Returns:\n 219→ JSON with the updated feature details, or error if not found.\n 220→ \"\"\"\n 221→ session = get_session()\n 222→ try:\n 223→ feature = session.query(Feature).filter(Feature.id == feature_id).first()\n 224→\n 225→ if feature is None:\n 226→ return json.dumps({\"error\": f\"Feature with ID {feature_id} not found\"})\n 227→\n 228→ feature.passes = True\n 229→ feature.in_progress = False\n 230→ session.commit()\n 231→ session.refresh(feature)\n 232→\n 233→ return json.dumps(feature.to_dict(), indent=2)\n 234→ finally:\n 235→ session.close()\n 236→\n 237→\n 238→@mcp.tool()\n 239→def feature_skip(\n 240→ feature_id: Annotated[int, Field(description=\"The ID of the feature to skip\", ge=1)]\n 241→) -> str:\n 242→ \"\"\"Skip a feature by moving it to the end of the priority queue.\n 243→\n 244→ Use this when a feature cannot be implemented yet due to:\n 245→ - Dependencies on other features that aren't implemented yet\n 246→ - External blockers (missing assets, unclear requirements)\n 247→ - Technical prerequisites that need to be addressed first\n 248→\n 249→ The feature's priority is set to max_priority + 1, so it will be\n 250→ worked on after all other pending features. Also clears the in_progress\n 251→ flag so the feature returns to \"pending\" status.\n 252→\n 253→ Args:\n 254→ feature_id: The ID of the feature to skip\n 255→\n 256→ Returns:\n 257→ JSON with skip details: id, name, old_priority, new_priority, message\n 258→ \"\"\"\n 259→ session = get_session()\n 260→ try:\n 261→ feature = session.query(Feature).filter(Feature.id == feature_id).first()\n 262→\n 263→ if feature is None:\n 264→ return json.dumps({\"error\": f\"Feature with ID {feature_id} not found\"})\n 265→\n 266→ if feature.passes:\n 267→ return json.dumps({\"error\": \"Cannot skip a feature that is already passing\"})\n 268→\n 269→ old_priority = feature.priority\n 270→\n 271→ # Get max priority and set this feature to max + 1\n 272→ max_priority_result = session.query(Feature.priority).order_by(Feature.priority.desc()).first()\n 273→ new_priority = (max_priority_result[0] + 1) if max_priority_result else 1\n 274→\n 275→ feature.priority = new_priority\n 276→ feature.in_progress = False\n 277→ session.commit()\n 278→ session.refresh(feature)\n 279→\n 280→ return json.dumps({\n 281→ \"id\": feature.id,\n 282→ \"name\": feature.name,\n 283→ \"old_priority\": old_priority,\n 284→ \"new_priority\": new_priority,\n 285→ \"message\": f\"Feature '{feature.name}' moved to end of queue\"\n 286→ }, indent=2)\n 287→ finally:\n 288→ session.close()\n 289→\n 290→\n 291→@mcp.tool()\n 292→def feature_mark_in_progress(\n 293→ feature_id: Annotated[int, Field(description=\"The ID of the feature to mark as in-progress\", ge=1)]\n 294→) -> str:\n 295→ \"\"\"Mark a feature as in-progress. Call immediately after feature_get_next().\n 296→\n 297→ This prevents other agent sessions from working on the same feature.\n 298→ Use this as soon as you retrieve a feature to work on.\n 299→\n 300→ Args:\n 301→ feature_id: The ID of the feature to mark as in-progress\n 302→\n 303→ Returns:\n 304→ JSON with the updated feature details, or error if not found or already in-progress.\n 305→ \"\"\"\n 306→ session = get_session()\n 307→ try:\n 308→ feature = session.query(Feature).filter(Feature.id == feature_id).first()\n 309→\n 310→ if feature is None:\n 311→ return json.dumps({\"error\": f\"Feature with ID {feature_id} not found\"})\n 312→\n 313→ if feature.passes:\n 314→ return json.dumps({\"error\": f\"Feature with ID {feature_id} is already passing\"})\n 315→\n 316→ if feature.in_progress:\n 317→ return json.dumps({\"error\": f\"Feature with ID {feature_id} is already in-progress\"})\n 318→\n 319→ feature.in_progress = True\n 320→ session.commit()\n 321→ session.refresh(feature)\n 322→\n 323→ return json.dumps(feature.to_dict(), indent=2)\n 324→ finally:\n 325→ session.close()\n 326→\n 327→\n 328→@mcp.tool()\n 329→def feature_clear_in_progress(\n 330→ feature_id: Annotated[int, Field(description=\"The ID of the feature to clear in-progress status\", ge=1)]\n 331→) -> str:\n 332→ \"\"\"Clear in-progress status from a feature.\n 333→\n 334→ Use this when abandoning a feature or manually unsticking a stuck feature.\n 335→ The feature will return to the pending queue.\n 336→\n 337→ Args:\n 338→ feature_id: The ID of the feature to clear in-progress status\n 339→\n 340→ Returns:\n 341→ JSON with the updated feature details, or error if not found.\n 342→ \"\"\"\n 343→ session = get_session()\n 344→ try:\n 345→ feature = session.query(Feature).filter(Feature.id == feature_id).first()\n 346→\n 347→ if feature is None:\n 348→ return json.dumps({\"error\": f\"Feature with ID {feature_id} not found\"})\n 349→\n 350→ feature.in_progress = False\n 351→ session.commit()\n 352→ session.refresh(feature)\n 353→\n 354→ return json.dumps(feature.to_dict(), indent=2)\n 355→ finally:\n 356→ session.close()\n 357→\n 358→\n 359→@mcp.tool()\n 360→def feature_create_bulk(\n 361→ features: Annotated[list[dict], Field(description=\"List of features to create, each with category, name, description, and steps\")]\n 362→) -> str:\n 363→ \"\"\"Create multiple features in a single operation.\n 364→\n 365→ Features are assigned sequential priorities based on their order.\n 366→ All features start with passes=false.\n 367→\n 368→ This is typically used by the initializer agent to set up the initial\n 369→ feature list from the app specification.\n 370→\n 371→ Args:\n 372→ features: List of features to create, each with:\n 373→ - category (str): Feature category\n 374→ - name (str): Feature name\n 375→ - description (str): Detailed description\n 376→ - steps (list[str]): Implementation/test steps\n 377→\n 378→ Returns:\n 379→ JSON with: created (int) - number of features created\n 380→ \"\"\"\n 381→ session = get_session()\n 382→ try:\n 383→ # Get the starting priority\n 384→ max_priority_result = session.query(Feature.priority).order_by(Feature.priority.desc()).first()\n 385→ start_priority = (max_priority_result[0] + 1) if max_priority_result else 1\n 386→\n 387→ created_count = 0\n 388→ for i, feature_data in enumerate(features):\n 389→ # Validate required fields\n 390→ if not all(key in feature_data for key in [\"category\", \"name\", \"description\", \"steps\"]):\n 391→ return json.dumps({\n 392→ \"error\": f\"Feature at index {i} missing required fields (category, name, description, steps)\"\n 393→ })\n 394→\n 395→ db_feature = Feature(\n 396→ priority=start_priority + i,\n 397→ category=feature_data[\"category\"],\n 398→ name=feature_data[\"name\"],\n 399→ description=feature_data[\"description\"],\n 400→ steps=feature_data[\"steps\"],\n 401→ passes=False,\n 402→ )\n 403→ session.add(db_feature)\n 404→ created_count += 1\n 405→\n 406→ session.commit()\n 407→\n 408→ return json.dumps({\"created\": created_count}, indent=2)\n 409→ except Exception as e:\n 410→ session.rollback()\n 411→ return json.dumps({\"error\": str(e)})\n 412→ finally:\n 413→ session.close()\n 414→\n 415→\n 416→if __name__ == \"__main__\":\n 417→ mcp.run()\n 418→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"55f47edf-153a-40be-9cdd-4021fea6b277","timestamp":"2026-01-11T16:27:02.309Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\mcp_server\\feature_mcp.py","content":"#!/usr/bin/env python3\n\"\"\"\nMCP Server for Feature Management\n==================================\n\nProvides tools to manage features in the autonomous coding system,\nreplacing the previous FastAPI-based REST API.\n\nTools:\n- feature_get_stats: Get progress statistics\n- feature_get_next: Get next feature to implement\n- feature_get_for_regression: Get random passing features for testing\n- feature_mark_passing: Mark a feature as passing\n- feature_skip: Skip a feature (move to end of queue)\n- feature_mark_in_progress: Mark a feature as in-progress\n- feature_clear_in_progress: Clear in-progress status\n- feature_create_bulk: Create multiple features at once\n\"\"\"\n\nimport json\nimport os\nimport sys\nfrom contextlib import asynccontextmanager\nfrom pathlib import Path\nfrom typing import Annotated\n\nfrom mcp.server.fastmcp import FastMCP\nfrom pydantic import BaseModel, Field\nfrom sqlalchemy.sql.expression import func\n\n# Add parent directory to path so we can import from api module\nsys.path.insert(0, str(Path(__file__).parent.parent))\n\nfrom api.database import Feature, create_database\nfrom api.migration import migrate_json_to_sqlite\n\n# Configuration from environment\nPROJECT_DIR = Path(os.environ.get(\"PROJECT_DIR\", \".\")).resolve()\n\n\n# Pydantic models for input validation\nclass MarkPassingInput(BaseModel):\n \"\"\"Input for marking a feature as passing.\"\"\"\n feature_id: int = Field(..., description=\"The ID of the feature to mark as passing\", ge=1)\n\n\nclass SkipFeatureInput(BaseModel):\n \"\"\"Input for skipping a feature.\"\"\"\n feature_id: int = Field(..., description=\"The ID of the feature to skip\", ge=1)\n\n\nclass MarkInProgressInput(BaseModel):\n \"\"\"Input for marking a feature as in-progress.\"\"\"\n feature_id: int = Field(..., description=\"The ID of the feature to mark as in-progress\", ge=1)\n\n\nclass ClearInProgressInput(BaseModel):\n \"\"\"Input for clearing in-progress status.\"\"\"\n feature_id: int = Field(..., description=\"The ID of the feature to clear in-progress status\", ge=1)\n\n\nclass RegressionInput(BaseModel):\n \"\"\"Input for getting regression features.\"\"\"\n limit: int = Field(default=3, ge=1, le=10, description=\"Maximum number of passing features to return\")\n\n\nclass FeatureCreateItem(BaseModel):\n \"\"\"Schema for creating a single feature.\"\"\"\n category: str = Field(..., min_length=1, max_length=100, description=\"Feature category\")\n name: str = Field(..., min_length=1, max_length=255, description=\"Feature name\")\n description: str = Field(..., min_length=1, description=\"Detailed description\")\n steps: list[str] = Field(..., min_length=1, description=\"Implementation/test steps\")\n\n\nclass BulkCreateInput(BaseModel):\n \"\"\"Input for bulk creating features.\"\"\"\n features: list[FeatureCreateItem] = Field(..., min_length=1, description=\"List of features to create\")\n\n\n# Global database session maker (initialized on startup)\n_session_maker = None\n_engine = None\n\n\n@asynccontextmanager\nasync def server_lifespan(server: FastMCP):\n \"\"\"Initialize database on startup, cleanup on shutdown.\"\"\"\n global _session_maker, _engine\n\n # Create project directory if it doesn't exist\n PROJECT_DIR.mkdir(parents=True, exist_ok=True)\n\n # Initialize database\n _engine, _session_maker = create_database(PROJECT_DIR)\n\n # Run migration if needed (converts legacy JSON to SQLite)\n migrate_json_to_sqlite(PROJECT_DIR, _session_maker)\n\n yield\n\n # Cleanup\n if _engine:\n _engine.dispose()\n\n\n# Initialize the MCP server\nmcp = FastMCP(\"features\", lifespan=server_lifespan)\n\n\ndef get_session():\n \"\"\"Get a new database session.\"\"\"\n if _session_maker is None:\n raise RuntimeError(\"Database not initialized\")\n return _session_maker()\n\n\n@mcp.tool()\ndef feature_get_stats() -> str:\n \"\"\"Get statistics about feature completion progress.\n\n Returns the number of passing features, in-progress features, total features,\n and completion percentage. Use this to track overall progress of the implementation.\n\n Returns:\n JSON with: passing (int), in_progress (int), total (int), percentage (float)\n \"\"\"\n session = get_session()\n try:\n total = session.query(Feature).count()\n passing = session.query(Feature).filter(Feature.passes == True).count()\n in_progress = session.query(Feature).filter(Feature.in_progress == True).count()\n percentage = round((passing / total) * 100, 1) if total > 0 else 0.0\n\n return json.dumps({\n \"passing\": passing,\n \"in_progress\": in_progress,\n \"total\": total,\n \"percentage\": percentage\n }, indent=2)\n finally:\n session.close()\n\n\n@mcp.tool()\ndef feature_get_next() -> str:\n \"\"\"Get the highest-priority pending feature to work on.\n\n Returns the feature with the lowest priority number that has passes=false.\n Use this at the start of each coding session to determine what to implement next.\n\n Returns:\n JSON with feature details (id, priority, category, name, description, steps, passes, in_progress)\n or error message if all features are passing.\n \"\"\"\n session = get_session()\n try:\n feature = (\n session.query(Feature)\n .filter(Feature.passes == False)\n .order_by(Feature.priority.asc(), Feature.id.asc())\n .first()\n )\n\n if feature is None:\n return json.dumps({\"error\": \"All features are passing! No more work to do.\"})\n\n return json.dumps(feature.to_dict(), indent=2)\n finally:\n session.close()\n\n\n@mcp.tool()\ndef feature_get_for_regression(\n limit: Annotated[int, Field(default=3, ge=1, le=10, description=\"Maximum number of passing features to return\")] = 3\n) -> str:\n \"\"\"Get random passing features for regression testing.\n\n Returns a random selection of features that are currently passing.\n Use this to verify that previously implemented features still work\n after making changes.\n\n Args:\n limit: Maximum number of features to return (1-10, default 3)\n\n Returns:\n JSON with: features (list of feature objects), count (int)\n \"\"\"\n session = get_session()\n try:\n features = (\n session.query(Feature)\n .filter(Feature.passes == True)\n .order_by(func.random())\n .limit(limit)\n .all()\n )\n\n return json.dumps({\n \"features\": [f.to_dict() for f in features],\n \"count\": len(features)\n }, indent=2)\n finally:\n session.close()\n\n\n@mcp.tool()\ndef feature_mark_passing(\n feature_id: Annotated[int, Field(description=\"The ID of the feature to mark as passing\", ge=1)]\n) -> str:\n \"\"\"Mark a feature as passing after successful implementation.\n\n Updates the feature's passes field to true and clears the in_progress flag.\n Use this after you have implemented the feature and verified it works correctly.\n\n Args:\n feature_id: The ID of the feature to mark as passing\n\n Returns:\n JSON with the updated feature details, or error if not found.\n \"\"\"\n session = get_session()\n try:\n feature = session.query(Feature).filter(Feature.id == feature_id).first()\n\n if feature is None:\n return json.dumps({\"error\": f\"Feature with ID {feature_id} not found\"})\n\n feature.passes = True\n feature.in_progress = False\n session.commit()\n session.refresh(feature)\n\n return json.dumps(feature.to_dict(), indent=2)\n finally:\n session.close()\n\n\n@mcp.tool()\ndef feature_skip(\n feature_id: Annotated[int, Field(description=\"The ID of the feature to skip\", ge=1)]\n) -> str:\n \"\"\"Skip a feature by moving it to the end of the priority queue.\n\n Use this when a feature cannot be implemented yet due to:\n - Dependencies on other features that aren't implemented yet\n - External blockers (missing assets, unclear requirements)\n - Technical prerequisites that need to be addressed first\n\n The feature's priority is set to max_priority + 1, so it will be\n worked on after all other pending features. Also clears the in_progress\n flag so the feature returns to \"pending\" status.\n\n Args:\n feature_id: The ID of the feature to skip\n\n Returns:\n JSON with skip details: id, name, old_priority, new_priority, message\n \"\"\"\n session = get_session()\n try:\n feature = session.query(Feature).filter(Feature.id == feature_id).first()\n\n if feature is None:\n return json.dumps({\"error\": f\"Feature with ID {feature_id} not found\"})\n\n if feature.passes:\n return json.dumps({\"error\": \"Cannot skip a feature that is already passing\"})\n\n old_priority = feature.priority\n\n # Get max priority and set this feature to max + 1\n max_priority_result = session.query(Feature.priority).order_by(Feature.priority.desc()).first()\n new_priority = (max_priority_result[0] + 1) if max_priority_result else 1\n\n feature.priority = new_priority\n feature.in_progress = False\n session.commit()\n session.refresh(feature)\n\n return json.dumps({\n \"id\": feature.id,\n \"name\": feature.name,\n \"old_priority\": old_priority,\n \"new_priority\": new_priority,\n \"message\": f\"Feature '{feature.name}' moved to end of queue\"\n }, indent=2)\n finally:\n session.close()\n\n\n@mcp.tool()\ndef feature_mark_in_progress(\n feature_id: Annotated[int, Field(description=\"The ID of the feature to mark as in-progress\", ge=1)]\n) -> str:\n \"\"\"Mark a feature as in-progress. Call immediately after feature_get_next().\n\n This prevents other agent sessions from working on the same feature.\n Use this as soon as you retrieve a feature to work on.\n\n Args:\n feature_id: The ID of the feature to mark as in-progress\n\n Returns:\n JSON with the updated feature details, or error if not found or already in-progress.\n \"\"\"\n session = get_session()\n try:\n feature = session.query(Feature).filter(Feature.id == feature_id).first()\n\n if feature is None:\n return json.dumps({\"error\": f\"Feature with ID {feature_id} not found\"})\n\n if feature.passes:\n return json.dumps({\"error\": f\"Feature with ID {feature_id} is already passing\"})\n\n if feature.in_progress:\n return json.dumps({\"error\": f\"Feature with ID {feature_id} is already in-progress\"})\n\n feature.in_progress = True\n session.commit()\n session.refresh(feature)\n\n return json.dumps(feature.to_dict(), indent=2)\n finally:\n session.close()\n\n\n@mcp.tool()\ndef feature_clear_in_progress(\n feature_id: Annotated[int, Field(description=\"The ID of the feature to clear in-progress status\", ge=1)]\n) -> str:\n \"\"\"Clear in-progress status from a feature.\n\n Use this when abandoning a feature or manually unsticking a stuck feature.\n The feature will return to the pending queue.\n\n Args:\n feature_id: The ID of the feature to clear in-progress status\n\n Returns:\n JSON with the updated feature details, or error if not found.\n \"\"\"\n session = get_session()\n try:\n feature = session.query(Feature).filter(Feature.id == feature_id).first()\n\n if feature is None:\n return json.dumps({\"error\": f\"Feature with ID {feature_id} not found\"})\n\n feature.in_progress = False\n session.commit()\n session.refresh(feature)\n\n return json.dumps(feature.to_dict(), indent=2)\n finally:\n session.close()\n\n\n@mcp.tool()\ndef feature_create_bulk(\n features: Annotated[list[dict], Field(description=\"List of features to create, each with category, name, description, and steps\")]\n) -> str:\n \"\"\"Create multiple features in a single operation.\n\n Features are assigned sequential priorities based on their order.\n All features start with passes=false.\n\n This is typically used by the initializer agent to set up the initial\n feature list from the app specification.\n\n Args:\n features: List of features to create, each with:\n - category (str): Feature category\n - name (str): Feature name\n - description (str): Detailed description\n - steps (list[str]): Implementation/test steps\n\n Returns:\n JSON with: created (int) - number of features created\n \"\"\"\n session = get_session()\n try:\n # Get the starting priority\n max_priority_result = session.query(Feature.priority).order_by(Feature.priority.desc()).first()\n start_priority = (max_priority_result[0] + 1) if max_priority_result else 1\n\n created_count = 0\n for i, feature_data in enumerate(features):\n # Validate required fields\n if not all(key in feature_data for key in [\"category\", \"name\", \"description\", \"steps\"]):\n return json.dumps({\n \"error\": f\"Feature at index {i} missing required fields (category, name, description, steps)\"\n })\n\n db_feature = Feature(\n priority=start_priority + i,\n category=feature_data[\"category\"],\n name=feature_data[\"name\"],\n description=feature_data[\"description\"],\n steps=feature_data[\"steps\"],\n passes=False,\n )\n session.add(db_feature)\n created_count += 1\n\n session.commit()\n\n return json.dumps({\"created\": created_count}, indent=2)\n except Exception as e:\n session.rollback()\n return json.dumps({\"error\": str(e)})\n finally:\n session.close()\n\n\nif __name__ == \"__main__\":\n mcp.run()\n","numLines":418,"startLine":1,"totalLines":418}},"sourceToolAssistantUUID":"b21049dd-0259-4c20-8a7b-11deebcde1af"}
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{"parentUuid":"5f5dc709-9965-41cf-b86e-ce4d53663da0","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_015VfuQiCepcQcqgvm4RyAzz","type":"tool_result","content":" 1→\"\"\"\n 2→Database Models and Connection\n 3→==============================\n 4→\n 5→SQLite database schema for feature storage using SQLAlchemy.\n 6→\"\"\"\n 7→\n 8→from pathlib import Path\n 9→from typing import Optional\n 10→\n 11→from sqlalchemy import Boolean, Column, Integer, String, Text, create_engine\n 12→from sqlalchemy.ext.declarative import declarative_base\n 13→from sqlalchemy.orm import Session, sessionmaker\n 14→from sqlalchemy.types import JSON\n 15→\n 16→Base = declarative_base()\n 17→\n 18→\n 19→class Feature(Base):\n 20→ \"\"\"Feature model representing a test case/feature to implement.\"\"\"\n 21→\n 22→ __tablename__ = \"features\"\n 23→\n 24→ id = Column(Integer, primary_key=True, index=True)\n 25→ priority = Column(Integer, nullable=False, default=999, index=True)\n 26→ category = Column(String(100), nullable=False)\n 27→ name = Column(String(255), nullable=False)\n 28→ description = Column(Text, nullable=False)\n 29→ steps = Column(JSON, nullable=False) # Stored as JSON array\n 30→ passes = Column(Boolean, default=False, index=True)\n 31→ in_progress = Column(Boolean, default=False, index=True)\n 32→\n 33→ def to_dict(self) -> dict:\n 34→ \"\"\"Convert feature to dictionary for JSON serialization.\"\"\"\n 35→ return {\n 36→ \"id\": self.id,\n 37→ \"priority\": self.priority,\n 38→ \"category\": self.category,\n 39→ \"name\": self.name,\n 40→ \"description\": self.description,\n 41→ \"steps\": self.steps,\n 42→ \"passes\": self.passes,\n 43→ \"in_progress\": self.in_progress,\n 44→ }\n 45→\n 46→\n 47→def get_database_path(project_dir: Path) -> Path:\n 48→ \"\"\"Return the path to the SQLite database for a project.\"\"\"\n 49→ return project_dir / \"features.db\"\n 50→\n 51→\n 52→def get_database_url(project_dir: Path) -> str:\n 53→ \"\"\"Return the SQLAlchemy database URL for a project.\n 54→\n 55→ Uses POSIX-style paths (forward slashes) for cross-platform compatibility.\n 56→ \"\"\"\n 57→ db_path = get_database_path(project_dir)\n 58→ return f\"sqlite:///{db_path.as_posix()}\"\n 59→\n 60→\n 61→def _migrate_add_in_progress_column(engine) -> None:\n 62→ \"\"\"Add in_progress column to existing databases that don't have it.\"\"\"\n 63→ from sqlalchemy import text\n 64→\n 65→ with engine.connect() as conn:\n 66→ # Check if column exists\n 67→ result = conn.execute(text(\"PRAGMA table_info(features)\"))\n 68→ columns = [row[1] for row in result.fetchall()]\n 69→\n 70→ if \"in_progress\" not in columns:\n 71→ # Add the column with default value\n 72→ conn.execute(text(\"ALTER TABLE features ADD COLUMN in_progress BOOLEAN DEFAULT 0\"))\n 73→ conn.commit()\n 74→\n 75→\n 76→def create_database(project_dir: Path) -> tuple:\n 77→ \"\"\"\n 78→ Create database and return engine + session maker.\n 79→\n 80→ Args:\n 81→ project_dir: Directory containing the project\n 82→\n 83→ Returns:\n 84→ Tuple of (engine, SessionLocal)\n 85→ \"\"\"\n 86→ db_url = get_database_url(project_dir)\n 87→ engine = create_engine(db_url, connect_args={\"check_same_thread\": False})\n 88→ Base.metadata.create_all(bind=engine)\n 89→\n 90→ # Migrate existing databases to add in_progress column\n 91→ _migrate_add_in_progress_column(engine)\n 92→\n 93→ SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)\n 94→ return engine, SessionLocal\n 95→\n 96→\n 97→# Global session maker - will be set when server starts\n 98→_session_maker: Optional[sessionmaker] = None\n 99→\n 100→\n 101→def set_session_maker(session_maker: sessionmaker) -> None:\n 102→ \"\"\"Set the global session maker.\"\"\"\n 103→ global _session_maker\n 104→ _session_maker = session_maker\n 105→\n 106→\n 107→def get_db() -> Session:\n 108→ \"\"\"\n 109→ Dependency for FastAPI to get database session.\n 110→\n 111→ Yields a database session and ensures it's closed after use.\n 112→ \"\"\"\n 113→ if _session_maker is None:\n 114→ raise RuntimeError(\"Database not initialized. Call set_session_maker first.\")\n 115→\n 116→ db = _session_maker()\n 117→ try:\n 118→ yield db\n 119→ finally:\n 120→ db.close()\n 121→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"71ed50df-4353-47e6-a791-5a8488e354b4","timestamp":"2026-01-11T16:27:02.310Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\api\\database.py","content":"\"\"\"\nDatabase Models and Connection\n==============================\n\nSQLite database schema for feature storage using SQLAlchemy.\n\"\"\"\n\nfrom pathlib import Path\nfrom typing import Optional\n\nfrom sqlalchemy import Boolean, Column, Integer, String, Text, create_engine\nfrom sqlalchemy.ext.declarative import declarative_base\nfrom sqlalchemy.orm import Session, sessionmaker\nfrom sqlalchemy.types import JSON\n\nBase = declarative_base()\n\n\nclass Feature(Base):\n \"\"\"Feature model representing a test case/feature to implement.\"\"\"\n\n __tablename__ = \"features\"\n\n id = Column(Integer, primary_key=True, index=True)\n priority = Column(Integer, nullable=False, default=999, index=True)\n category = Column(String(100), nullable=False)\n name = Column(String(255), nullable=False)\n description = Column(Text, nullable=False)\n steps = Column(JSON, nullable=False) # Stored as JSON array\n passes = Column(Boolean, default=False, index=True)\n in_progress = Column(Boolean, default=False, index=True)\n\n def to_dict(self) -> dict:\n \"\"\"Convert feature to dictionary for JSON serialization.\"\"\"\n return {\n \"id\": self.id,\n \"priority\": self.priority,\n \"category\": self.category,\n \"name\": self.name,\n \"description\": self.description,\n \"steps\": self.steps,\n \"passes\": self.passes,\n \"in_progress\": self.in_progress,\n }\n\n\ndef get_database_path(project_dir: Path) -> Path:\n \"\"\"Return the path to the SQLite database for a project.\"\"\"\n return project_dir / \"features.db\"\n\n\ndef get_database_url(project_dir: Path) -> str:\n \"\"\"Return the SQLAlchemy database URL for a project.\n\n Uses POSIX-style paths (forward slashes) for cross-platform compatibility.\n \"\"\"\n db_path = get_database_path(project_dir)\n return f\"sqlite:///{db_path.as_posix()}\"\n\n\ndef _migrate_add_in_progress_column(engine) -> None:\n \"\"\"Add in_progress column to existing databases that don't have it.\"\"\"\n from sqlalchemy import text\n\n with engine.connect() as conn:\n # Check if column exists\n result = conn.execute(text(\"PRAGMA table_info(features)\"))\n columns = [row[1] for row in result.fetchall()]\n\n if \"in_progress\" not in columns:\n # Add the column with default value\n conn.execute(text(\"ALTER TABLE features ADD COLUMN in_progress BOOLEAN DEFAULT 0\"))\n conn.commit()\n\n\ndef create_database(project_dir: Path) -> tuple:\n \"\"\"\n Create database and return engine + session maker.\n\n Args:\n project_dir: Directory containing the project\n\n Returns:\n Tuple of (engine, SessionLocal)\n \"\"\"\n db_url = get_database_url(project_dir)\n engine = create_engine(db_url, connect_args={\"check_same_thread\": False})\n Base.metadata.create_all(bind=engine)\n\n # Migrate existing databases to add in_progress column\n _migrate_add_in_progress_column(engine)\n\n SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)\n return engine, SessionLocal\n\n\n# Global session maker - will be set when server starts\n_session_maker: Optional[sessionmaker] = None\n\n\ndef set_session_maker(session_maker: sessionmaker) -> None:\n \"\"\"Set the global session maker.\"\"\"\n global _session_maker\n _session_maker = session_maker\n\n\ndef get_db() -> Session:\n \"\"\"\n Dependency for FastAPI to get database session.\n\n Yields a database session and ensures it's closed after use.\n \"\"\"\n if _session_maker is None:\n raise RuntimeError(\"Database not initialized. Call set_session_maker first.\")\n\n db = _session_maker()\n try:\n yield db\n finally:\n db.close()\n","numLines":121,"startLine":1,"totalLines":121}},"sourceToolAssistantUUID":"5f5dc709-9965-41cf-b86e-ce4d53663da0"}
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{"parentUuid":"41cd6d77-1568-4203-a0d0-19350206d57e","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Gd1iUhxbQ5oVyLcdXXofqH","type":"tool_result","content":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\mcp_server\\__init__.py\nC:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\mcp_server\\feature_mcp.py"}]},"uuid":"eeb949db-b290-47a2-8144-4c6c90c1cd7c","timestamp":"2026-01-11T16:27:03.381Z","toolUseResult":{"filenames":["C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\mcp_server\\__init__.py","C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\mcp_server\\feature_mcp.py"],"durationMs":1374,"numFiles":2,"truncated":false},"sourceToolAssistantUUID":"41cd6d77-1568-4203-a0d0-19350206d57e"}
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{"parentUuid":"eeb949db-b290-47a2-8144-4c6c90c1cd7c","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","message":{"model":"claude-haiku-4-5-20251001","id":"msg_013Sva31AGwb62eTfbWf8zCB","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check the client.py to see how the SDK client is created and what state it manages:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":6996,"cache_read_input_tokens":30611,"cache_creation":{"ephemeral_5m_input_tokens":6996,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX1uR1zcgp7cbmwHSNZSb","type":"assistant","uuid":"d84e8b07-5969-44ff-a7af-ec170abd190f","timestamp":"2026-01-11T16:27:06.274Z"}
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{"parentUuid":"d84e8b07-5969-44ff-a7af-ec170abd190f","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","message":{"model":"claude-haiku-4-5-20251001","id":"msg_013Sva31AGwb62eTfbWf8zCB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_018zFoAGXhdzvrsaJKx2WNFg","name":"Read","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\client.py","limit":150}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":6996,"cache_read_input_tokens":30611,"cache_creation":{"ephemeral_5m_input_tokens":6996,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX1uR1zcgp7cbmwHSNZSb","type":"assistant","uuid":"728e66ea-22ae-4ffe-8f94-39ec377761ec","timestamp":"2026-01-11T16:27:06.744Z"}
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{"parentUuid":"728e66ea-22ae-4ffe-8f94-39ec377761ec","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","message":{"model":"claude-haiku-4-5-20251001","id":"msg_013Sva31AGwb62eTfbWf8zCB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01YVkx8BazWUiz2gBoA2okoR","name":"Grep","input":{"pattern":"checkpoint|recover|resume|session.*state|state.*save","path":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0","type":"py"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":6996,"cache_read_input_tokens":30611,"cache_creation":{"ephemeral_5m_input_tokens":6996,"ephemeral_1h_input_tokens":0},"output_tokens":260,"service_tier":"standard"}},"requestId":"req_011CX1uR1zcgp7cbmwHSNZSb","type":"assistant","uuid":"7d843e93-e3ac-45d9-a05d-444866408aad","timestamp":"2026-01-11T16:27:07.528Z"}
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{"parentUuid":"728e66ea-22ae-4ffe-8f94-39ec377761ec","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_018zFoAGXhdzvrsaJKx2WNFg","type":"tool_result","content":" 1→\"\"\"\n 2→Claude SDK Client Configuration\n 3→===============================\n 4→\n 5→Functions for creating and configuring the Claude Agent SDK client.\n 6→\"\"\"\n 7→\n 8→import json\n 9→import os\n 10→import shutil\n 11→import sys\n 12→from pathlib import Path\n 13→\n 14→from claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient\n 15→from claude_agent_sdk.types import HookMatcher\n 16→\n 17→from security import bash_security_hook\n 18→\n 19→# Feature MCP tools for feature/test management\n 20→FEATURE_MCP_TOOLS = [\n 21→ \"mcp__features__feature_get_stats\",\n 22→ \"mcp__features__feature_get_next\",\n 23→ \"mcp__features__feature_get_for_regression\",\n 24→ \"mcp__features__feature_mark_in_progress\",\n 25→ \"mcp__features__feature_mark_passing\",\n 26→ \"mcp__features__feature_skip\",\n 27→ \"mcp__features__feature_create_bulk\",\n 28→]\n 29→\n 30→# Playwright MCP tools for browser automation\n 31→PLAYWRIGHT_TOOLS = [\n 32→ # Core navigation & screenshots\n 33→ \"mcp__playwright__browser_navigate\",\n 34→ \"mcp__playwright__browser_navigate_back\",\n 35→ \"mcp__playwright__browser_take_screenshot\",\n 36→ \"mcp__playwright__browser_snapshot\",\n 37→\n 38→ # Element interaction\n 39→ \"mcp__playwright__browser_click\",\n 40→ \"mcp__playwright__browser_type\",\n 41→ \"mcp__playwright__browser_fill_form\",\n 42→ \"mcp__playwright__browser_select_option\",\n 43→ \"mcp__playwright__browser_hover\",\n 44→ \"mcp__playwright__browser_drag\",\n 45→ \"mcp__playwright__browser_press_key\",\n 46→\n 47→ # JavaScript & debugging\n 48→ \"mcp__playwright__browser_evaluate\",\n 49→ # \"mcp__playwright__browser_run_code\", # REMOVED - causes Playwright MCP server crash\n 50→ \"mcp__playwright__browser_console_messages\",\n 51→ \"mcp__playwright__browser_network_requests\",\n 52→\n 53→ # Browser management\n 54→ \"mcp__playwright__browser_close\",\n 55→ \"mcp__playwright__browser_resize\",\n 56→ \"mcp__playwright__browser_tabs\",\n 57→ \"mcp__playwright__browser_wait_for\",\n 58→ \"mcp__playwright__browser_handle_dialog\",\n 59→ \"mcp__playwright__browser_file_upload\",\n 60→ \"mcp__playwright__browser_install\",\n 61→]\n 62→\n 63→# Built-in tools\n 64→BUILTIN_TOOLS = [\n 65→ \"Read\",\n 66→ \"Write\",\n 67→ \"Edit\",\n 68→ \"Glob\",\n 69→ \"Grep\",\n 70→ \"Bash\",\n 71→ \"WebFetch\",\n 72→ \"WebSearch\",\n 73→]\n 74→\n 75→\n 76→def create_client(project_dir: Path, model: str, yolo_mode: bool = False):\n 77→ \"\"\"\n 78→ Create a Claude Agent SDK client with multi-layered security.\n 79→\n 80→ Args:\n 81→ project_dir: Directory for the project\n 82→ model: Claude model to use\n 83→ yolo_mode: If True, skip Playwright MCP server for rapid prototyping\n 84→\n 85→ Returns:\n 86→ Configured ClaudeSDKClient (from claude_agent_sdk)\n 87→\n 88→ Security layers (defense in depth):\n 89→ 1. Sandbox - OS-level bash command isolation prevents filesystem escape\n 90→ 2. Permissions - File operations restricted to project_dir only\n 91→ 3. Security hooks - Bash commands validated against an allowlist\n 92→ (see security.py for ALLOWED_COMMANDS)\n 93→\n 94→ Note: Authentication is handled by start.bat/start.sh before this runs.\n 95→ The Claude SDK auto-detects credentials from ~/.claude/.credentials.json\n 96→ \"\"\"\n 97→ # Build allowed tools list based on mode\n 98→ # In YOLO mode, exclude Playwright tools for faster prototyping\n 99→ allowed_tools = [*BUILTIN_TOOLS, *FEATURE_MCP_TOOLS]\n 100→ if not yolo_mode:\n 101→ allowed_tools.extend(PLAYWRIGHT_TOOLS)\n 102→\n 103→ # Build permissions list\n 104→ permissions_list = [\n 105→ # Allow all file operations within the project directory\n 106→ \"Read(./**)\",\n 107→ \"Write(./**)\",\n 108→ \"Edit(./**)\",\n 109→ \"Glob(./**)\",\n 110→ \"Grep(./**)\",\n 111→ # Bash permission granted here, but actual commands are validated\n 112→ # by the bash_security_hook (see security.py for allowed commands)\n 113→ \"Bash(*)\",\n 114→ # Allow web tools for documentation lookup\n 115→ \"WebFetch\",\n 116→ \"WebSearch\",\n 117→ # Allow Feature MCP tools for feature management\n 118→ *FEATURE_MCP_TOOLS,\n 119→ ]\n 120→ if not yolo_mode:\n 121→ # Allow Playwright MCP tools for browser automation (standard mode only)\n 122→ permissions_list.extend(PLAYWRIGHT_TOOLS)\n 123→\n 124→ # Create comprehensive security settings\n 125→ # Note: Using relative paths (\"./**\") restricts access to project directory\n 126→ # since cwd is set to project_dir\n 127→ security_settings = {\n 128→ # Sandbox disabled for full system access (SSH, infrastructure, etc.)\n 129→ \"sandbox\": {\"enabled\": False},\n 130→ \"permissions\": {\n 131→ \"defaultMode\": \"acceptEdits\", # Auto-approve edits within allowed directories\n 132→ \"allow\": permissions_list,\n 133→ },\n 134→ }\n 135→\n 136→ # Ensure project directory exists before creating settings file\n 137→ project_dir.mkdir(parents=True, exist_ok=True)\n 138→\n 139→ # Write settings to a file in the project directory\n 140→ settings_file = project_dir / \".claude_settings.json\"\n 141→ with open(settings_file, \"w\") as f:\n 142→ json.dump(security_settings, f, indent=2)\n 143→\n 144→ print(f\"Created security settings at {settings_file}\")\n 145→ print(\" - Sandbox DISABLED (full system access enabled)\")\n 146→ print(f\" - Working directory: {project_dir.resolve()}\")\n 147→ print(\" - Bash commands restricted to allowlist (see security.py)\")\n 148→ if yolo_mode:\n 149→ print(\" - MCP servers: features (database) - YOLO MODE (no Playwright)\")\n 150→ else:\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"0c0d56fc-ca53-4142-8ba2-0f578b591790","timestamp":"2026-01-11T16:27:29.000Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\client.py","content":"\"\"\"\nClaude SDK Client Configuration\n===============================\n\nFunctions for creating and configuring the Claude Agent SDK client.\n\"\"\"\n\nimport json\nimport os\nimport shutil\nimport sys\nfrom pathlib import Path\n\nfrom claude_agent_sdk import ClaudeAgentOptions, ClaudeSDKClient\nfrom claude_agent_sdk.types import HookMatcher\n\nfrom security import bash_security_hook\n\n# Feature MCP tools for feature/test management\nFEATURE_MCP_TOOLS = [\n \"mcp__features__feature_get_stats\",\n \"mcp__features__feature_get_next\",\n \"mcp__features__feature_get_for_regression\",\n \"mcp__features__feature_mark_in_progress\",\n \"mcp__features__feature_mark_passing\",\n \"mcp__features__feature_skip\",\n \"mcp__features__feature_create_bulk\",\n]\n\n# Playwright MCP tools for browser automation\nPLAYWRIGHT_TOOLS = [\n # Core navigation & screenshots\n \"mcp__playwright__browser_navigate\",\n \"mcp__playwright__browser_navigate_back\",\n \"mcp__playwright__browser_take_screenshot\",\n \"mcp__playwright__browser_snapshot\",\n\n # Element interaction\n \"mcp__playwright__browser_click\",\n \"mcp__playwright__browser_type\",\n \"mcp__playwright__browser_fill_form\",\n \"mcp__playwright__browser_select_option\",\n \"mcp__playwright__browser_hover\",\n \"mcp__playwright__browser_drag\",\n \"mcp__playwright__browser_press_key\",\n\n # JavaScript & debugging\n \"mcp__playwright__browser_evaluate\",\n # \"mcp__playwright__browser_run_code\", # REMOVED - causes Playwright MCP server crash\n \"mcp__playwright__browser_console_messages\",\n \"mcp__playwright__browser_network_requests\",\n\n # Browser management\n \"mcp__playwright__browser_close\",\n \"mcp__playwright__browser_resize\",\n \"mcp__playwright__browser_tabs\",\n \"mcp__playwright__browser_wait_for\",\n \"mcp__playwright__browser_handle_dialog\",\n \"mcp__playwright__browser_file_upload\",\n \"mcp__playwright__browser_install\",\n]\n\n# Built-in tools\nBUILTIN_TOOLS = [\n \"Read\",\n \"Write\",\n \"Edit\",\n \"Glob\",\n \"Grep\",\n \"Bash\",\n \"WebFetch\",\n \"WebSearch\",\n]\n\n\ndef create_client(project_dir: Path, model: str, yolo_mode: bool = False):\n \"\"\"\n Create a Claude Agent SDK client with multi-layered security.\n\n Args:\n project_dir: Directory for the project\n model: Claude model to use\n yolo_mode: If True, skip Playwright MCP server for rapid prototyping\n\n Returns:\n Configured ClaudeSDKClient (from claude_agent_sdk)\n\n Security layers (defense in depth):\n 1. Sandbox - OS-level bash command isolation prevents filesystem escape\n 2. Permissions - File operations restricted to project_dir only\n 3. Security hooks - Bash commands validated against an allowlist\n (see security.py for ALLOWED_COMMANDS)\n\n Note: Authentication is handled by start.bat/start.sh before this runs.\n The Claude SDK auto-detects credentials from ~/.claude/.credentials.json\n \"\"\"\n # Build allowed tools list based on mode\n # In YOLO mode, exclude Playwright tools for faster prototyping\n allowed_tools = [*BUILTIN_TOOLS, *FEATURE_MCP_TOOLS]\n if not yolo_mode:\n allowed_tools.extend(PLAYWRIGHT_TOOLS)\n\n # Build permissions list\n permissions_list = [\n # Allow all file operations within the project directory\n \"Read(./**)\",\n \"Write(./**)\",\n \"Edit(./**)\",\n \"Glob(./**)\",\n \"Grep(./**)\",\n # Bash permission granted here, but actual commands are validated\n # by the bash_security_hook (see security.py for allowed commands)\n \"Bash(*)\",\n # Allow web tools for documentation lookup\n \"WebFetch\",\n \"WebSearch\",\n # Allow Feature MCP tools for feature management\n *FEATURE_MCP_TOOLS,\n ]\n if not yolo_mode:\n # Allow Playwright MCP tools for browser automation (standard mode only)\n permissions_list.extend(PLAYWRIGHT_TOOLS)\n\n # Create comprehensive security settings\n # Note: Using relative paths (\"./**\") restricts access to project directory\n # since cwd is set to project_dir\n security_settings = {\n # Sandbox disabled for full system access (SSH, infrastructure, etc.)\n \"sandbox\": {\"enabled\": False},\n \"permissions\": {\n \"defaultMode\": \"acceptEdits\", # Auto-approve edits within allowed directories\n \"allow\": permissions_list,\n },\n }\n\n # Ensure project directory exists before creating settings file\n project_dir.mkdir(parents=True, exist_ok=True)\n\n # Write settings to a file in the project directory\n settings_file = project_dir / \".claude_settings.json\"\n with open(settings_file, \"w\") as f:\n json.dump(security_settings, f, indent=2)\n\n print(f\"Created security settings at {settings_file}\")\n print(\" - Sandbox DISABLED (full system access enabled)\")\n print(f\" - Working directory: {project_dir.resolve()}\")\n print(\" - Bash commands restricted to allowlist (see security.py)\")\n if yolo_mode:\n print(\" - MCP servers: features (database) - YOLO MODE (no Playwright)\")\n else:","numLines":150,"startLine":1,"totalLines":202}},"sourceToolAssistantUUID":"728e66ea-22ae-4ffe-8f94-39ec377761ec"}
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{"parentUuid":"7d843e93-e3ac-45d9-a05d-444866408aad","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01YVkx8BazWUiz2gBoA2okoR","type":"tool_result","content":"Found 8 files\nC:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\server\\services\\process_manager.py\nC:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\server\\services\\file_lock.py\nC:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\server\\routers\\spec_creation.py\nC:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\server\\services\\assistant_chat_session.py\nC:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\server\\routers\\assistant_chat.py\nC:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\server\\routers\\agent.py\nC:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\start.py\nC:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\autonomous_agent_demo.py"}]},"uuid":"546a1d55-18dd-42fb-aef9-cda6c717bf03","timestamp":"2026-01-11T16:27:30.080Z","toolUseResult":{"mode":"files_with_matches","filenames":["C:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\server\\services\\process_manager.py","C:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\server\\services\\file_lock.py","C:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\server\\routers\\spec_creation.py","C:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\server\\services\\assistant_chat_session.py","C:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\server\\routers\\assistant_chat.py","C:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\server\\routers\\agent.py","C:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\start.py","C:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\autonomous_agent_demo.py"],"numFiles":8},"sourceToolAssistantUUID":"7d843e93-e3ac-45d9-a05d-444866408aad"}
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{"parentUuid":"546a1d55-18dd-42fb-aef9-cda6c717bf03","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VsiDAKiaxbXbvWaeiRG9u5","type":"message","role":"assistant","content":[{"type":"text","text":"Let me look at some of the files mentioned in the grep results to understand existing recovery patterns:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2979,"cache_read_input_tokens":37607,"cache_creation":{"ephemeral_5m_input_tokens":2979,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX1uSwtcUkctvWSQUNpuB","type":"assistant","uuid":"04c5587b-ed85-48fb-b275-8bc45087df45","timestamp":"2026-01-11T16:27:32.073Z"}
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{"parentUuid":"04c5587b-ed85-48fb-b275-8bc45087df45","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VsiDAKiaxbXbvWaeiRG9u5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LsmdK4uRnw4oAcVsBBkybC","name":"Read","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\server\\services\\file_lock.py"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2979,"cache_read_input_tokens":37607,"cache_creation":{"ephemeral_5m_input_tokens":2979,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX1uSwtcUkctvWSQUNpuB","type":"assistant","uuid":"edfcec22-660c-457f-aef0-b9db9f83015c","timestamp":"2026-01-11T16:27:32.705Z"}
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{"parentUuid":"edfcec22-660c-457f-aef0-b9db9f83015c","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VsiDAKiaxbXbvWaeiRG9u5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BncdBKUKxscVeQqFQd4Hrv","name":"Read","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\server\\routers\\agent.py","limit":150}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2979,"cache_read_input_tokens":37607,"cache_creation":{"ephemeral_5m_input_tokens":2979,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX1uSwtcUkctvWSQUNpuB","type":"assistant","uuid":"df088e0a-fdec-4ebc-bc5e-a76328569d12","timestamp":"2026-01-11T16:27:33.082Z"}
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{"parentUuid":"df088e0a-fdec-4ebc-bc5e-a76328569d12","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VsiDAKiaxbXbvWaeiRG9u5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FrGXvyu9fDBXQaCm399hhU","name":"Read","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\api\\migration.py"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":2979,"cache_read_input_tokens":37607,"cache_creation":{"ephemeral_5m_input_tokens":2979,"ephemeral_1h_input_tokens":0},"output_tokens":310,"service_tier":"standard"}},"requestId":"req_011CX1uSwtcUkctvWSQUNpuB","type":"assistant","uuid":"bc0ed934-9c8b-4438-9f4d-40532805c4ee","timestamp":"2026-01-11T16:27:33.400Z"}
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{"parentUuid":"edfcec22-660c-457f-aef0-b9db9f83015c","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01LsmdK4uRnw4oAcVsBBkybC","type":"tool_result","content":" 1→\"\"\"\n 2→File Lock Manager\n 3→=================\n 4→\n 5→Async-safe file locking to prevent concurrent modifications\n 6→to the same files by parallel coding agents.\n 7→\"\"\"\n 8→\n 9→import asyncio\n 10→import logging\n 11→from dataclasses import dataclass\n 12→from datetime import datetime, timedelta\n 13→from pathlib import Path\n 14→from typing import Optional\n 15→\n 16→logger = logging.getLogger(__name__)\n 17→\n 18→\n 19→@dataclass\n 20→class LockInfo:\n 21→ \"\"\"Information about a file lock.\"\"\"\n 22→ file_path: str\n 23→ feature_id: int\n 24→ agent_id: str\n 25→ locked_at: datetime\n 26→ expires_at: Optional[datetime] = None\n 27→\n 28→\n 29→@dataclass\n 30→class LockResult:\n 31→ \"\"\"Result of a lock operation.\"\"\"\n 32→ success: bool\n 33→ message: str\n 34→ lock_info: Optional[LockInfo] = None\n 35→ holder_feature_id: Optional[int] = None\n 36→\n 37→\n 38→class FileLockManager:\n 39→ \"\"\"\n 40→ Manage file locks for parallel coding agents.\n 41→\n 42→ This class provides async-safe file locking to prevent multiple\n 43→ agents from modifying the same files simultaneously. It supports:\n 44→\n 45→ - Acquiring locks on individual files or directories\n 46→ - Lock timeouts to prevent deadlocks\n 47→ - Force release for recovery scenarios\n 48→ - Pattern-based locking (e.g., lock all files in a directory)\n 49→\n 50→ Thread Safety:\n 51→ All operations use asyncio.Lock to ensure thread safety\n 52→ in async contexts.\n 53→ \"\"\"\n 54→\n 55→ # Default lock timeout (1 hour)\n 56→ DEFAULT_TIMEOUT_SECONDS = 3600\n 57→\n 58→ def __init__(self, project_dir: Optional[Path] = None):\n 59→ \"\"\"\n 60→ Initialize the file lock manager.\n 61→\n 62→ Args:\n 63→ project_dir: Optional project directory for relative path resolution\n 64→ \"\"\"\n 65→ self.project_dir = project_dir\n 66→ self._locks: dict[str, LockInfo] = {}\n 67→ self._lock = asyncio.Lock()\n 68→\n 69→ def _normalize_path(self, file_path: str) -> str:\n 70→ \"\"\"Normalize a file path for consistent locking.\"\"\"\n 71→ # Convert to forward slashes and lowercase for consistency\n 72→ normalized = file_path.replace(\"\\\\\", \"/\").lower()\n 73→\n 74→ # Remove leading/trailing slashes\n 75→ normalized = normalized.strip(\"/\")\n 76→\n 77→ return normalized\n 78→\n 79→ async def acquire(\n 80→ self,\n 81→ file_path: str,\n 82→ feature_id: int,\n 83→ agent_id: str = \"default\",\n 84→ timeout_seconds: Optional[int] = None,\n 85→ wait: bool = False,\n 86→ wait_timeout: float = 30.0,\n 87→ ) -> LockResult:\n 88→ \"\"\"\n 89→ Acquire a lock on a file.\n 90→\n 91→ Args:\n 92→ file_path: Path to the file to lock (relative to project)\n 93→ feature_id: ID of the feature requesting the lock\n 94→ agent_id: ID of the agent requesting the lock\n 95→ timeout_seconds: Lock timeout in seconds (None for default)\n 96→ wait: If True, wait for the lock to become available\n 97→ wait_timeout: Maximum time to wait for the lock (if wait=True)\n 98→\n 99→ Returns:\n 100→ LockResult indicating success or failure\n 101→ \"\"\"\n 102→ normalized = self._normalize_path(file_path)\n 103→ timeout = timeout_seconds or self.DEFAULT_TIMEOUT_SECONDS\n 104→\n 105→ start_time = datetime.now()\n 106→\n 107→ while True:\n 108→ async with self._lock:\n 109→ # Check if already locked\n 110→ existing = self._locks.get(normalized)\n 111→\n 112→ if existing:\n 113→ # Check if lock has expired\n 114→ if existing.expires_at and datetime.now() > existing.expires_at:\n 115→ logger.info(\n 116→ f\"Lock on {normalized} expired, releasing \"\n 117→ f\"(was held by feature {existing.feature_id})\"\n 118→ )\n 119→ del self._locks[normalized]\n 120→ existing = None\n 121→\n 122→ if existing:\n 123→ # Already locked by same feature - extend the lock\n 124→ if existing.feature_id == feature_id:\n 125→ existing.expires_at = datetime.now() + timedelta(seconds=timeout)\n 126→ logger.debug(f\"Extended lock on {normalized} for feature {feature_id}\")\n 127→ return LockResult(\n 128→ success=True,\n 129→ message=\"Lock extended\",\n 130→ lock_info=existing,\n 131→ )\n 132→\n 133→ # Locked by different feature\n 134→ if not wait:\n 135→ return LockResult(\n 136→ success=False,\n 137→ message=f\"File locked by feature {existing.feature_id}\",\n 138→ holder_feature_id=existing.feature_id,\n 139→ )\n 140→ else:\n 141→ # Lock is available - acquire it\n 142→ lock_info = LockInfo(\n 143→ file_path=normalized,\n 144→ feature_id=feature_id,\n 145→ agent_id=agent_id,\n 146→ locked_at=datetime.now(),\n 147→ expires_at=datetime.now() + timedelta(seconds=timeout),\n 148→ )\n 149→ self._locks[normalized] = lock_info\n 150→\n 151→ logger.debug(f\"Acquired lock on {normalized} for feature {feature_id}\")\n 152→ return LockResult(\n 153→ success=True,\n 154→ message=\"Lock acquired\",\n 155→ lock_info=lock_info,\n 156→ )\n 157→\n 158→ # If waiting, check timeout and retry\n 159→ if wait:\n 160→ elapsed = (datetime.now() - start_time).total_seconds()\n 161→ if elapsed >= wait_timeout:\n 162→ return LockResult(\n 163→ success=False,\n 164→ message=f\"Timeout waiting for lock on {normalized}\",\n 165→ holder_feature_id=existing.feature_id if existing else None,\n 166→ )\n 167→\n 168→ # Wait a bit before retrying\n 169→ await asyncio.sleep(0.5)\n 170→ else:\n 171→ break\n 172→\n 173→ # Should not reach here\n 174→ return LockResult(success=False, message=\"Unexpected error\")\n 175→\n 176→ async def acquire_multiple(\n 177→ self,\n 178→ file_paths: list[str],\n 179→ feature_id: int,\n 180→ agent_id: str = \"default\",\n 181→ timeout_seconds: Optional[int] = None,\n 182→ ) -> LockResult:\n 183→ \"\"\"\n 184→ Acquire locks on multiple files atomically.\n 185→\n 186→ Either all locks are acquired or none are. This prevents\n 187→ partial lock scenarios that could lead to deadlocks.\n 188→\n 189→ Args:\n 190→ file_paths: List of file paths to lock\n 191→ feature_id: ID of the feature requesting the locks\n 192→ agent_id: ID of the agent requesting the locks\n 193→ timeout_seconds: Lock timeout in seconds\n 194→\n 195→ Returns:\n 196→ LockResult indicating success or failure\n 197→ \"\"\"\n 198→ if not file_paths:\n 199→ return LockResult(success=True, message=\"No files to lock\")\n 200→\n 201→ timeout = timeout_seconds or self.DEFAULT_TIMEOUT_SECONDS\n 202→ normalized_paths = [self._normalize_path(p) for p in file_paths]\n 203→\n 204→ async with self._lock:\n 205→ # First, check if all locks are available\n 206→ conflicts = []\n 207→ for path in normalized_paths:\n 208→ existing = self._locks.get(path)\n 209→ if existing:\n 210→ # Check expiration\n 211→ if existing.expires_at and datetime.now() > existing.expires_at:\n 212→ continue # Expired, will be released\n 213→\n 214→ if existing.feature_id != feature_id:\n 215→ conflicts.append((path, existing.feature_id))\n 216→\n 217→ if conflicts:\n 218→ conflict_msg = \", \".join(\n 219→ f\"{p} (feature {fid})\" for p, fid in conflicts\n 220→ )\n 221→ return LockResult(\n 222→ success=False,\n 223→ message=f\"Conflicts: {conflict_msg}\",\n 224→ holder_feature_id=conflicts[0][1],\n 225→ )\n 226→\n 227→ # All locks available - acquire them\n 228→ lock_time = datetime.now()\n 229→ expires_at = lock_time + timedelta(seconds=timeout)\n 230→\n 231→ for path in normalized_paths:\n 232→ # Clean up expired locks\n 233→ existing = self._locks.get(path)\n 234→ if existing and existing.expires_at and datetime.now() > existing.expires_at:\n 235→ del self._locks[path]\n 236→\n 237→ # Acquire lock\n 238→ self._locks[path] = LockInfo(\n 239→ file_path=path,\n 240→ feature_id=feature_id,\n 241→ agent_id=agent_id,\n 242→ locked_at=lock_time,\n 243→ expires_at=expires_at,\n 244→ )\n 245→\n 246→ logger.debug(\n 247→ f\"Acquired {len(normalized_paths)} locks for feature {feature_id}\"\n 248→ )\n 249→ return LockResult(\n 250→ success=True,\n 251→ message=f\"Acquired {len(normalized_paths)} locks\",\n 252→ )\n 253→\n 254→ async def release(\n 255→ self,\n 256→ file_path: str,\n 257→ feature_id: int,\n 258→ ) -> LockResult:\n 259→ \"\"\"\n 260→ Release a lock on a file.\n 261→\n 262→ Args:\n 263→ file_path: Path to the file to unlock\n 264→ feature_id: ID of the feature releasing the lock\n 265→\n 266→ Returns:\n 267→ LockResult indicating success or failure\n 268→ \"\"\"\n 269→ normalized = self._normalize_path(file_path)\n 270→\n 271→ async with self._lock:\n 272→ existing = self._locks.get(normalized)\n 273→\n 274→ if not existing:\n 275→ return LockResult(\n 276→ success=True,\n 277→ message=\"Lock not held (already released)\",\n 278→ )\n 279→\n 280→ if existing.feature_id != feature_id:\n 281→ return LockResult(\n 282→ success=False,\n 283→ message=f\"Lock held by different feature ({existing.feature_id})\",\n 284→ holder_feature_id=existing.feature_id,\n 285→ )\n 286→\n 287→ del self._locks[normalized]\n 288→ logger.debug(f\"Released lock on {normalized} by feature {feature_id}\")\n 289→\n 290→ return LockResult(\n 291→ success=True,\n 292→ message=\"Lock released\",\n 293→ )\n 294→\n 295→ async def release_all(\n 296→ self,\n 297→ feature_id: int,\n 298→ ) -> int:\n 299→ \"\"\"\n 300→ Release all locks held by a feature.\n 301→\n 302→ Args:\n 303→ feature_id: ID of the feature\n 304→\n 305→ Returns:\n 306→ Number of locks released\n 307→ \"\"\"\n 308→ async with self._lock:\n 309→ to_release = [\n 310→ path for path, info in self._locks.items()\n 311→ if info.feature_id == feature_id\n 312→ ]\n 313→\n 314→ for path in to_release:\n 315→ del self._locks[path]\n 316→\n 317→ if to_release:\n 318→ logger.debug(\n 319→ f\"Released {len(to_release)} locks for feature {feature_id}\"\n 320→ )\n 321→\n 322→ return len(to_release)\n 323→\n 324→ async def force_release(\n 325→ self,\n 326→ file_path: str,\n 327→ ) -> LockResult:\n 328→ \"\"\"\n 329→ Force release a lock regardless of owner.\n 330→\n 331→ Use with caution - this is for recovery scenarios only.\n 332→\n 333→ Args:\n 334→ file_path: Path to the file to unlock\n 335→\n 336→ Returns:\n 337→ LockResult indicating success\n 338→ \"\"\"\n 339→ normalized = self._normalize_path(file_path)\n 340→\n 341→ async with self._lock:\n 342→ existing = self._locks.get(normalized)\n 343→\n 344→ if existing:\n 345→ logger.warning(\n 346→ f\"Force releasing lock on {normalized} \"\n 347→ f\"(was held by feature {existing.feature_id})\"\n 348→ )\n 349→ del self._locks[normalized]\n 350→ return LockResult(\n 351→ success=True,\n 352→ message=f\"Force released (was held by feature {existing.feature_id})\",\n 353→ )\n 354→\n 355→ return LockResult(\n 356→ success=True,\n 357→ message=\"Lock not held\",\n 358→ )\n 359→\n 360→ async def is_locked(\n 361→ self,\n 362→ file_path: str,\n 363→ ) -> tuple[bool, Optional[int]]:\n 364→ \"\"\"\n 365→ Check if a file is locked.\n 366→\n 367→ Args:\n 368→ file_path: Path to check\n 369→\n 370→ Returns:\n 371→ Tuple of (is_locked, feature_id or None)\n 372→ \"\"\"\n 373→ normalized = self._normalize_path(file_path)\n 374→\n 375→ async with self._lock:\n 376→ existing = self._locks.get(normalized)\n 377→\n 378→ if existing:\n 379→ # Check expiration\n 380→ if existing.expires_at and datetime.now() > existing.expires_at:\n 381→ del self._locks[normalized]\n 382→ return False, None\n 383→\n 384→ return True, existing.feature_id\n 385→\n 386→ return False, None\n 387→\n 388→ async def get_locks_for_feature(\n 389→ self,\n 390→ feature_id: int,\n 391→ ) -> list[LockInfo]:\n 392→ \"\"\"\n 393→ Get all locks held by a feature.\n 394→\n 395→ Args:\n 396→ feature_id: ID of the feature\n 397→\n 398→ Returns:\n 399→ List of lock information\n 400→ \"\"\"\n 401→ async with self._lock:\n 402→ return [\n 403→ info for info in self._locks.values()\n 404→ if info.feature_id == feature_id\n 405→ ]\n 406→\n 407→ async def get_all_locks(self) -> dict[str, LockInfo]:\n 408→ \"\"\"\n 409→ Get all current locks.\n 410→\n 411→ Returns:\n 412→ Dictionary mapping file paths to lock information\n 413→ \"\"\"\n 414→ async with self._lock:\n 415→ # Clean up expired locks first\n 416→ now = datetime.now()\n 417→ expired = [\n 418→ path for path, info in self._locks.items()\n 419→ if info.expires_at and now > info.expires_at\n 420→ ]\n 421→ for path in expired:\n 422→ del self._locks[path]\n 423→\n 424→ return dict(self._locks)\n 425→\n 426→ async def cleanup_expired(self) -> int:\n 427→ \"\"\"\n 428→ Clean up all expired locks.\n 429→\n 430→ Returns:\n 431→ Number of locks cleaned up\n 432→ \"\"\"\n 433→ async with self._lock:\n 434→ now = datetime.now()\n 435→ expired = [\n 436→ path for path, info in self._locks.items()\n 437→ if info.expires_at and now > info.expires_at\n 438→ ]\n 439→\n 440→ for path in expired:\n 441→ logger.debug(f\"Cleaning up expired lock: {path}\")\n 442→ del self._locks[path]\n 443→\n 444→ return len(expired)\n 445→\n 446→ def get_stats(self) -> dict:\n 447→ \"\"\"\n 448→ Get lock manager statistics (sync version for quick checks).\n 449→\n 450→ Returns:\n 451→ Dictionary with lock statistics\n 452→ \"\"\"\n 453→ return {\n 454→ \"total_locks\": len(self._locks),\n 455→ \"locked_files\": list(self._locks.keys()),\n 456→ \"features_with_locks\": list(set(\n 457→ info.feature_id for info in self._locks.values()\n 458→ )),\n 459→ }\n 460→\n 461→\n 462→# Global lock manager instance\n 463→_global_lock_manager: Optional[FileLockManager] = None\n 464→\n 465→\n 466→def get_lock_manager(project_dir: Optional[Path] = None) -> FileLockManager:\n 467→ \"\"\"\n 468→ Get or create the global lock manager.\n 469→\n 470→ Args:\n 471→ project_dir: Project directory (used on first call)\n 472→\n 473→ Returns:\n 474→ The global FileLockManager instance\n 475→ \"\"\"\n 476→ global _global_lock_manager\n 477→\n 478→ if _global_lock_manager is None:\n 479→ _global_lock_manager = FileLockManager(project_dir)\n 480→\n 481→ return _global_lock_manager\n 482→\n 483→\n 484→def reset_lock_manager() -> None:\n 485→ \"\"\"Reset the global lock manager (for testing).\"\"\"\n 486→ global _global_lock_manager\n 487→ _global_lock_manager = None\n 488→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"e5d6ea7d-cdd4-467d-b17c-d4532db41e43","timestamp":"2026-01-11T16:28:04.390Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\server\\services\\file_lock.py","content":"\"\"\"\nFile Lock Manager\n=================\n\nAsync-safe file locking to prevent concurrent modifications\nto the same files by parallel coding agents.\n\"\"\"\n\nimport asyncio\nimport logging\nfrom dataclasses import dataclass\nfrom datetime import datetime, timedelta\nfrom pathlib import Path\nfrom typing import Optional\n\nlogger = logging.getLogger(__name__)\n\n\n@dataclass\nclass LockInfo:\n \"\"\"Information about a file lock.\"\"\"\n file_path: str\n feature_id: int\n agent_id: str\n locked_at: datetime\n expires_at: Optional[datetime] = None\n\n\n@dataclass\nclass LockResult:\n \"\"\"Result of a lock operation.\"\"\"\n success: bool\n message: str\n lock_info: Optional[LockInfo] = None\n holder_feature_id: Optional[int] = None\n\n\nclass FileLockManager:\n \"\"\"\n Manage file locks for parallel coding agents.\n\n This class provides async-safe file locking to prevent multiple\n agents from modifying the same files simultaneously. It supports:\n\n - Acquiring locks on individual files or directories\n - Lock timeouts to prevent deadlocks\n - Force release for recovery scenarios\n - Pattern-based locking (e.g., lock all files in a directory)\n\n Thread Safety:\n All operations use asyncio.Lock to ensure thread safety\n in async contexts.\n \"\"\"\n\n # Default lock timeout (1 hour)\n DEFAULT_TIMEOUT_SECONDS = 3600\n\n def __init__(self, project_dir: Optional[Path] = None):\n \"\"\"\n Initialize the file lock manager.\n\n Args:\n project_dir: Optional project directory for relative path resolution\n \"\"\"\n self.project_dir = project_dir\n self._locks: dict[str, LockInfo] = {}\n self._lock = asyncio.Lock()\n\n def _normalize_path(self, file_path: str) -> str:\n \"\"\"Normalize a file path for consistent locking.\"\"\"\n # Convert to forward slashes and lowercase for consistency\n normalized = file_path.replace(\"\\\\\", \"/\").lower()\n\n # Remove leading/trailing slashes\n normalized = normalized.strip(\"/\")\n\n return normalized\n\n async def acquire(\n self,\n file_path: str,\n feature_id: int,\n agent_id: str = \"default\",\n timeout_seconds: Optional[int] = None,\n wait: bool = False,\n wait_timeout: float = 30.0,\n ) -> LockResult:\n \"\"\"\n Acquire a lock on a file.\n\n Args:\n file_path: Path to the file to lock (relative to project)\n feature_id: ID of the feature requesting the lock\n agent_id: ID of the agent requesting the lock\n timeout_seconds: Lock timeout in seconds (None for default)\n wait: If True, wait for the lock to become available\n wait_timeout: Maximum time to wait for the lock (if wait=True)\n\n Returns:\n LockResult indicating success or failure\n \"\"\"\n normalized = self._normalize_path(file_path)\n timeout = timeout_seconds or self.DEFAULT_TIMEOUT_SECONDS\n\n start_time = datetime.now()\n\n while True:\n async with self._lock:\n # Check if already locked\n existing = self._locks.get(normalized)\n\n if existing:\n # Check if lock has expired\n if existing.expires_at and datetime.now() > existing.expires_at:\n logger.info(\n f\"Lock on {normalized} expired, releasing \"\n f\"(was held by feature {existing.feature_id})\"\n )\n del self._locks[normalized]\n existing = None\n\n if existing:\n # Already locked by same feature - extend the lock\n if existing.feature_id == feature_id:\n existing.expires_at = datetime.now() + timedelta(seconds=timeout)\n logger.debug(f\"Extended lock on {normalized} for feature {feature_id}\")\n return LockResult(\n success=True,\n message=\"Lock extended\",\n lock_info=existing,\n )\n\n # Locked by different feature\n if not wait:\n return LockResult(\n success=False,\n message=f\"File locked by feature {existing.feature_id}\",\n holder_feature_id=existing.feature_id,\n )\n else:\n # Lock is available - acquire it\n lock_info = LockInfo(\n file_path=normalized,\n feature_id=feature_id,\n agent_id=agent_id,\n locked_at=datetime.now(),\n expires_at=datetime.now() + timedelta(seconds=timeout),\n )\n self._locks[normalized] = lock_info\n\n logger.debug(f\"Acquired lock on {normalized} for feature {feature_id}\")\n return LockResult(\n success=True,\n message=\"Lock acquired\",\n lock_info=lock_info,\n )\n\n # If waiting, check timeout and retry\n if wait:\n elapsed = (datetime.now() - start_time).total_seconds()\n if elapsed >= wait_timeout:\n return LockResult(\n success=False,\n message=f\"Timeout waiting for lock on {normalized}\",\n holder_feature_id=existing.feature_id if existing else None,\n )\n\n # Wait a bit before retrying\n await asyncio.sleep(0.5)\n else:\n break\n\n # Should not reach here\n return LockResult(success=False, message=\"Unexpected error\")\n\n async def acquire_multiple(\n self,\n file_paths: list[str],\n feature_id: int,\n agent_id: str = \"default\",\n timeout_seconds: Optional[int] = None,\n ) -> LockResult:\n \"\"\"\n Acquire locks on multiple files atomically.\n\n Either all locks are acquired or none are. This prevents\n partial lock scenarios that could lead to deadlocks.\n\n Args:\n file_paths: List of file paths to lock\n feature_id: ID of the feature requesting the locks\n agent_id: ID of the agent requesting the locks\n timeout_seconds: Lock timeout in seconds\n\n Returns:\n LockResult indicating success or failure\n \"\"\"\n if not file_paths:\n return LockResult(success=True, message=\"No files to lock\")\n\n timeout = timeout_seconds or self.DEFAULT_TIMEOUT_SECONDS\n normalized_paths = [self._normalize_path(p) for p in file_paths]\n\n async with self._lock:\n # First, check if all locks are available\n conflicts = []\n for path in normalized_paths:\n existing = self._locks.get(path)\n if existing:\n # Check expiration\n if existing.expires_at and datetime.now() > existing.expires_at:\n continue # Expired, will be released\n\n if existing.feature_id != feature_id:\n conflicts.append((path, existing.feature_id))\n\n if conflicts:\n conflict_msg = \", \".join(\n f\"{p} (feature {fid})\" for p, fid in conflicts\n )\n return LockResult(\n success=False,\n message=f\"Conflicts: {conflict_msg}\",\n holder_feature_id=conflicts[0][1],\n )\n\n # All locks available - acquire them\n lock_time = datetime.now()\n expires_at = lock_time + timedelta(seconds=timeout)\n\n for path in normalized_paths:\n # Clean up expired locks\n existing = self._locks.get(path)\n if existing and existing.expires_at and datetime.now() > existing.expires_at:\n del self._locks[path]\n\n # Acquire lock\n self._locks[path] = LockInfo(\n file_path=path,\n feature_id=feature_id,\n agent_id=agent_id,\n locked_at=lock_time,\n expires_at=expires_at,\n )\n\n logger.debug(\n f\"Acquired {len(normalized_paths)} locks for feature {feature_id}\"\n )\n return LockResult(\n success=True,\n message=f\"Acquired {len(normalized_paths)} locks\",\n )\n\n async def release(\n self,\n file_path: str,\n feature_id: int,\n ) -> LockResult:\n \"\"\"\n Release a lock on a file.\n\n Args:\n file_path: Path to the file to unlock\n feature_id: ID of the feature releasing the lock\n\n Returns:\n LockResult indicating success or failure\n \"\"\"\n normalized = self._normalize_path(file_path)\n\n async with self._lock:\n existing = self._locks.get(normalized)\n\n if not existing:\n return LockResult(\n success=True,\n message=\"Lock not held (already released)\",\n )\n\n if existing.feature_id != feature_id:\n return LockResult(\n success=False,\n message=f\"Lock held by different feature ({existing.feature_id})\",\n holder_feature_id=existing.feature_id,\n )\n\n del self._locks[normalized]\n logger.debug(f\"Released lock on {normalized} by feature {feature_id}\")\n\n return LockResult(\n success=True,\n message=\"Lock released\",\n )\n\n async def release_all(\n self,\n feature_id: int,\n ) -> int:\n \"\"\"\n Release all locks held by a feature.\n\n Args:\n feature_id: ID of the feature\n\n Returns:\n Number of locks released\n \"\"\"\n async with self._lock:\n to_release = [\n path for path, info in self._locks.items()\n if info.feature_id == feature_id\n ]\n\n for path in to_release:\n del self._locks[path]\n\n if to_release:\n logger.debug(\n f\"Released {len(to_release)} locks for feature {feature_id}\"\n )\n\n return len(to_release)\n\n async def force_release(\n self,\n file_path: str,\n ) -> LockResult:\n \"\"\"\n Force release a lock regardless of owner.\n\n Use with caution - this is for recovery scenarios only.\n\n Args:\n file_path: Path to the file to unlock\n\n Returns:\n LockResult indicating success\n \"\"\"\n normalized = self._normalize_path(file_path)\n\n async with self._lock:\n existing = self._locks.get(normalized)\n\n if existing:\n logger.warning(\n f\"Force releasing lock on {normalized} \"\n f\"(was held by feature {existing.feature_id})\"\n )\n del self._locks[normalized]\n return LockResult(\n success=True,\n message=f\"Force released (was held by feature {existing.feature_id})\",\n )\n\n return LockResult(\n success=True,\n message=\"Lock not held\",\n )\n\n async def is_locked(\n self,\n file_path: str,\n ) -> tuple[bool, Optional[int]]:\n \"\"\"\n Check if a file is locked.\n\n Args:\n file_path: Path to check\n\n Returns:\n Tuple of (is_locked, feature_id or None)\n \"\"\"\n normalized = self._normalize_path(file_path)\n\n async with self._lock:\n existing = self._locks.get(normalized)\n\n if existing:\n # Check expiration\n if existing.expires_at and datetime.now() > existing.expires_at:\n del self._locks[normalized]\n return False, None\n\n return True, existing.feature_id\n\n return False, None\n\n async def get_locks_for_feature(\n self,\n feature_id: int,\n ) -> list[LockInfo]:\n \"\"\"\n Get all locks held by a feature.\n\n Args:\n feature_id: ID of the feature\n\n Returns:\n List of lock information\n \"\"\"\n async with self._lock:\n return [\n info for info in self._locks.values()\n if info.feature_id == feature_id\n ]\n\n async def get_all_locks(self) -> dict[str, LockInfo]:\n \"\"\"\n Get all current locks.\n\n Returns:\n Dictionary mapping file paths to lock information\n \"\"\"\n async with self._lock:\n # Clean up expired locks first\n now = datetime.now()\n expired = [\n path for path, info in self._locks.items()\n if info.expires_at and now > info.expires_at\n ]\n for path in expired:\n del self._locks[path]\n\n return dict(self._locks)\n\n async def cleanup_expired(self) -> int:\n \"\"\"\n Clean up all expired locks.\n\n Returns:\n Number of locks cleaned up\n \"\"\"\n async with self._lock:\n now = datetime.now()\n expired = [\n path for path, info in self._locks.items()\n if info.expires_at and now > info.expires_at\n ]\n\n for path in expired:\n logger.debug(f\"Cleaning up expired lock: {path}\")\n del self._locks[path]\n\n return len(expired)\n\n def get_stats(self) -> dict:\n \"\"\"\n Get lock manager statistics (sync version for quick checks).\n\n Returns:\n Dictionary with lock statistics\n \"\"\"\n return {\n \"total_locks\": len(self._locks),\n \"locked_files\": list(self._locks.keys()),\n \"features_with_locks\": list(set(\n info.feature_id for info in self._locks.values()\n )),\n }\n\n\n# Global lock manager instance\n_global_lock_manager: Optional[FileLockManager] = None\n\n\ndef get_lock_manager(project_dir: Optional[Path] = None) -> FileLockManager:\n \"\"\"\n Get or create the global lock manager.\n\n Args:\n project_dir: Project directory (used on first call)\n\n Returns:\n The global FileLockManager instance\n \"\"\"\n global _global_lock_manager\n\n if _global_lock_manager is None:\n _global_lock_manager = FileLockManager(project_dir)\n\n return _global_lock_manager\n\n\ndef reset_lock_manager() -> None:\n \"\"\"Reset the global lock manager (for testing).\"\"\"\n global _global_lock_manager\n _global_lock_manager = None\n","numLines":488,"startLine":1,"totalLines":488}},"sourceToolAssistantUUID":"edfcec22-660c-457f-aef0-b9db9f83015c"}
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{"parentUuid":"df088e0a-fdec-4ebc-bc5e-a76328569d12","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BncdBKUKxscVeQqFQd4Hrv","type":"tool_result","content":" 1→\"\"\"\n 2→Agent Router\n 3→============\n 4→\n 5→API endpoints for agent control (start/stop/pause/resume).\n 6→Uses project registry for path lookups.\n 7→\"\"\"\n 8→\n 9→import re\n 10→from pathlib import Path\n 11→\n 12→from fastapi import APIRouter, HTTPException\n 13→\n 14→from ..schemas import AgentActionResponse, AgentStartRequest, AgentStatus\n 15→from ..services.process_manager import get_manager\n 16→\n 17→\n 18→def _get_project_path(project_name: str) -> Path:\n 19→ \"\"\"Get project path from registry.\"\"\"\n 20→ import sys\n 21→ root = Path(__file__).parent.parent.parent\n 22→ if str(root) not in sys.path:\n 23→ sys.path.insert(0, str(root))\n 24→\n 25→ from registry import get_project_path\n 26→ return get_project_path(project_name)\n 27→\n 28→\n 29→router = APIRouter(prefix=\"/api/projects/{project_name}/agent\", tags=[\"agent\"])\n 30→\n 31→# Root directory for process manager\n 32→ROOT_DIR = Path(__file__).parent.parent.parent\n 33→\n 34→\n 35→def validate_project_name(name: str) -> str:\n 36→ \"\"\"Validate and sanitize project name to prevent path traversal.\"\"\"\n 37→ if not re.match(r'^[a-zA-Z0-9_-]{1,50}$', name):\n 38→ raise HTTPException(\n 39→ status_code=400,\n 40→ detail=\"Invalid project name\"\n 41→ )\n 42→ return name\n 43→\n 44→\n 45→def get_project_manager(project_name: str):\n 46→ \"\"\"Get the process manager for a project.\"\"\"\n 47→ project_name = validate_project_name(project_name)\n 48→ project_dir = _get_project_path(project_name)\n 49→\n 50→ if not project_dir:\n 51→ raise HTTPException(status_code=404, detail=f\"Project '{project_name}' not found in registry\")\n 52→\n 53→ if not project_dir.exists():\n 54→ raise HTTPException(status_code=404, detail=f\"Project directory not found: {project_dir}\")\n 55→\n 56→ return get_manager(project_name, project_dir, ROOT_DIR)\n 57→\n 58→\n 59→@router.get(\"/status\", response_model=AgentStatus)\n 60→async def get_agent_status(project_name: str):\n 61→ \"\"\"Get the current status of the agent for a project.\"\"\"\n 62→ manager = get_project_manager(project_name)\n 63→\n 64→ # Run healthcheck to detect crashed processes\n 65→ await manager.healthcheck()\n 66→\n 67→ return AgentStatus(\n 68→ status=manager.status,\n 69→ pid=manager.pid,\n 70→ started_at=manager.started_at,\n 71→ yolo_mode=manager.yolo_mode,\n 72→ )\n 73→\n 74→\n 75→@router.post(\"/start\", response_model=AgentActionResponse)\n 76→async def start_agent(\n 77→ project_name: str,\n 78→ request: AgentStartRequest = AgentStartRequest(),\n 79→):\n 80→ \"\"\"Start the agent for a project.\"\"\"\n 81→ manager = get_project_manager(project_name)\n 82→\n 83→ success, message = await manager.start(yolo_mode=request.yolo_mode)\n 84→\n 85→ return AgentActionResponse(\n 86→ success=success,\n 87→ status=manager.status,\n 88→ message=message,\n 89→ )\n 90→\n 91→\n 92→@router.post(\"/stop\", response_model=AgentActionResponse)\n 93→async def stop_agent(project_name: str):\n 94→ \"\"\"Stop the agent for a project.\"\"\"\n 95→ manager = get_project_manager(project_name)\n 96→\n 97→ success, message = await manager.stop()\n 98→\n 99→ return AgentActionResponse(\n 100→ success=success,\n 101→ status=manager.status,\n 102→ message=message,\n 103→ )\n 104→\n 105→\n 106→@router.post(\"/pause\", response_model=AgentActionResponse)\n 107→async def pause_agent(project_name: str):\n 108→ \"\"\"Pause the agent for a project.\"\"\"\n 109→ manager = get_project_manager(project_name)\n 110→\n 111→ success, message = await manager.pause()\n 112→\n 113→ return AgentActionResponse(\n 114→ success=success,\n 115→ status=manager.status,\n 116→ message=message,\n 117→ )\n 118→\n 119→\n 120→@router.post(\"/resume\", response_model=AgentActionResponse)\n 121→async def resume_agent(project_name: str):\n 122→ \"\"\"Resume a paused agent.\"\"\"\n 123→ manager = get_project_manager(project_name)\n 124→\n 125→ success, message = await manager.resume()\n 126→\n 127→ return AgentActionResponse(\n 128→ success=success,\n 129→ status=manager.status,\n 130→ message=message,\n 131→ )\n 132→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"d19a106e-d933-402a-a930-23c3fe6a5553","timestamp":"2026-01-11T16:28:04.390Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\server\\routers\\agent.py","content":"\"\"\"\nAgent Router\n============\n\nAPI endpoints for agent control (start/stop/pause/resume).\nUses project registry for path lookups.\n\"\"\"\n\nimport re\nfrom pathlib import Path\n\nfrom fastapi import APIRouter, HTTPException\n\nfrom ..schemas import AgentActionResponse, AgentStartRequest, AgentStatus\nfrom ..services.process_manager import get_manager\n\n\ndef _get_project_path(project_name: str) -> Path:\n \"\"\"Get project path from registry.\"\"\"\n import sys\n root = Path(__file__).parent.parent.parent\n if str(root) not in sys.path:\n sys.path.insert(0, str(root))\n\n from registry import get_project_path\n return get_project_path(project_name)\n\n\nrouter = APIRouter(prefix=\"/api/projects/{project_name}/agent\", tags=[\"agent\"])\n\n# Root directory for process manager\nROOT_DIR = Path(__file__).parent.parent.parent\n\n\ndef validate_project_name(name: str) -> str:\n \"\"\"Validate and sanitize project name to prevent path traversal.\"\"\"\n if not re.match(r'^[a-zA-Z0-9_-]{1,50}$', name):\n raise HTTPException(\n status_code=400,\n detail=\"Invalid project name\"\n )\n return name\n\n\ndef get_project_manager(project_name: str):\n \"\"\"Get the process manager for a project.\"\"\"\n project_name = validate_project_name(project_name)\n project_dir = _get_project_path(project_name)\n\n if not project_dir:\n raise HTTPException(status_code=404, detail=f\"Project '{project_name}' not found in registry\")\n\n if not project_dir.exists():\n raise HTTPException(status_code=404, detail=f\"Project directory not found: {project_dir}\")\n\n return get_manager(project_name, project_dir, ROOT_DIR)\n\n\n@router.get(\"/status\", response_model=AgentStatus)\nasync def get_agent_status(project_name: str):\n \"\"\"Get the current status of the agent for a project.\"\"\"\n manager = get_project_manager(project_name)\n\n # Run healthcheck to detect crashed processes\n await manager.healthcheck()\n\n return AgentStatus(\n status=manager.status,\n pid=manager.pid,\n started_at=manager.started_at,\n yolo_mode=manager.yolo_mode,\n )\n\n\n@router.post(\"/start\", response_model=AgentActionResponse)\nasync def start_agent(\n project_name: str,\n request: AgentStartRequest = AgentStartRequest(),\n):\n \"\"\"Start the agent for a project.\"\"\"\n manager = get_project_manager(project_name)\n\n success, message = await manager.start(yolo_mode=request.yolo_mode)\n\n return AgentActionResponse(\n success=success,\n status=manager.status,\n message=message,\n )\n\n\n@router.post(\"/stop\", response_model=AgentActionResponse)\nasync def stop_agent(project_name: str):\n \"\"\"Stop the agent for a project.\"\"\"\n manager = get_project_manager(project_name)\n\n success, message = await manager.stop()\n\n return AgentActionResponse(\n success=success,\n status=manager.status,\n message=message,\n )\n\n\n@router.post(\"/pause\", response_model=AgentActionResponse)\nasync def pause_agent(project_name: str):\n \"\"\"Pause the agent for a project.\"\"\"\n manager = get_project_manager(project_name)\n\n success, message = await manager.pause()\n\n return AgentActionResponse(\n success=success,\n status=manager.status,\n message=message,\n )\n\n\n@router.post(\"/resume\", response_model=AgentActionResponse)\nasync def resume_agent(project_name: str):\n \"\"\"Resume a paused agent.\"\"\"\n manager = get_project_manager(project_name)\n\n success, message = await manager.resume()\n\n return AgentActionResponse(\n success=success,\n status=manager.status,\n message=message,\n )\n","numLines":132,"startLine":1,"totalLines":132}},"sourceToolAssistantUUID":"df088e0a-fdec-4ebc-bc5e-a76328569d12"}
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{"parentUuid":"bc0ed934-9c8b-4438-9f4d-40532805c4ee","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01FrGXvyu9fDBXQaCm399hhU","type":"tool_result","content":" 1→\"\"\"\n 2→JSON to SQLite Migration\n 3→========================\n 4→\n 5→Automatically migrates existing feature_list.json files to SQLite database.\n 6→\"\"\"\n 7→\n 8→import json\n 9→import shutil\n 10→from datetime import datetime\n 11→from pathlib import Path\n 12→from typing import Optional\n 13→\n 14→from sqlalchemy.orm import Session, sessionmaker\n 15→\n 16→from api.database import Feature\n 17→\n 18→\n 19→def migrate_json_to_sqlite(\n 20→ project_dir: Path,\n 21→ session_maker: sessionmaker,\n 22→) -> bool:\n 23→ \"\"\"\n 24→ Detect existing feature_list.json, import to SQLite, rename to backup.\n 25→\n 26→ This function:\n 27→ 1. Checks if feature_list.json exists\n 28→ 2. Checks if database already has data (skips if so)\n 29→ 3. Imports all features from JSON\n 30→ 4. Renames JSON file to feature_list.json.backup.<timestamp>\n 31→\n 32→ Args:\n 33→ project_dir: Directory containing the project\n 34→ session_maker: SQLAlchemy session maker\n 35→\n 36→ Returns:\n 37→ True if migration was performed, False if skipped\n 38→ \"\"\"\n 39→ json_file = project_dir / \"feature_list.json\"\n 40→\n 41→ if not json_file.exists():\n 42→ return False # No JSON file to migrate\n 43→\n 44→ # Check if database already has data\n 45→ session: Session = session_maker()\n 46→ try:\n 47→ existing_count = session.query(Feature).count()\n 48→ if existing_count > 0:\n 49→ print(\n 50→ f\"Database already has {existing_count} features, skipping migration\"\n 51→ )\n 52→ return False\n 53→ finally:\n 54→ session.close()\n 55→\n 56→ # Load JSON data\n 57→ try:\n 58→ with open(json_file, \"r\", encoding=\"utf-8\") as f:\n 59→ features_data = json.load(f)\n 60→ except json.JSONDecodeError as e:\n 61→ print(f\"Error parsing feature_list.json: {e}\")\n 62→ return False\n 63→ except IOError as e:\n 64→ print(f\"Error reading feature_list.json: {e}\")\n 65→ return False\n 66→\n 67→ if not isinstance(features_data, list):\n 68→ print(\"Error: feature_list.json must contain a JSON array\")\n 69→ return False\n 70→\n 71→ # Import features into database\n 72→ session = session_maker()\n 73→ try:\n 74→ imported_count = 0\n 75→ for i, feature_dict in enumerate(features_data):\n 76→ # Handle both old format (no id/priority/name) and new format\n 77→ feature = Feature(\n 78→ id=feature_dict.get(\"id\", i + 1),\n 79→ priority=feature_dict.get(\"priority\", i + 1),\n 80→ category=feature_dict.get(\"category\", \"uncategorized\"),\n 81→ name=feature_dict.get(\"name\", f\"Feature {i + 1}\"),\n 82→ description=feature_dict.get(\"description\", \"\"),\n 83→ steps=feature_dict.get(\"steps\", []),\n 84→ passes=feature_dict.get(\"passes\", False),\n 85→ )\n 86→ session.add(feature)\n 87→ imported_count += 1\n 88→\n 89→ session.commit()\n 90→\n 91→ # Verify import\n 92→ final_count = session.query(Feature).count()\n 93→ print(f\"Migrated {final_count} features from JSON to SQLite\")\n 94→\n 95→ except Exception as e:\n 96→ session.rollback()\n 97→ print(f\"Error during migration: {e}\")\n 98→ return False\n 99→ finally:\n 100→ session.close()\n 101→\n 102→ # Rename JSON file to backup\n 103→ timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n 104→ backup_file = project_dir / f\"feature_list.json.backup.{timestamp}\"\n 105→\n 106→ try:\n 107→ shutil.move(json_file, backup_file)\n 108→ print(f\"Original JSON backed up to: {backup_file.name}\")\n 109→ except IOError as e:\n 110→ print(f\"Warning: Could not backup JSON file: {e}\")\n 111→ # Continue anyway - the data is in the database\n 112→\n 113→ return True\n 114→\n 115→\n 116→def export_to_json(\n 117→ project_dir: Path,\n 118→ session_maker: sessionmaker,\n 119→ output_file: Optional[Path] = None,\n 120→) -> Path:\n 121→ \"\"\"\n 122→ Export features from database back to JSON format.\n 123→\n 124→ Useful for debugging or if you need to revert to the old format.\n 125→\n 126→ Args:\n 127→ project_dir: Directory containing the project\n 128→ session_maker: SQLAlchemy session maker\n 129→ output_file: Output file path (default: feature_list_export.json)\n 130→\n 131→ Returns:\n 132→ Path to the exported file\n 133→ \"\"\"\n 134→ if output_file is None:\n 135→ output_file = project_dir / \"feature_list_export.json\"\n 136→\n 137→ session: Session = session_maker()\n 138→ try:\n 139→ features = (\n 140→ session.query(Feature)\n 141→ .order_by(Feature.priority.asc(), Feature.id.asc())\n 142→ .all()\n 143→ )\n 144→\n 145→ features_data = [f.to_dict() for f in features]\n 146→\n 147→ with open(output_file, \"w\", encoding=\"utf-8\") as f:\n 148→ json.dump(features_data, f, indent=2)\n 149→\n 150→ print(f\"Exported {len(features_data)} features to {output_file}\")\n 151→ return output_file\n 152→\n 153→ finally:\n 154→ session.close()\n 155→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"d35c5cf9-cce4-4431-bea2-6c8f56bb9d28","timestamp":"2026-01-11T16:28:04.391Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\api\\migration.py","content":"\"\"\"\nJSON to SQLite Migration\n========================\n\nAutomatically migrates existing feature_list.json files to SQLite database.\n\"\"\"\n\nimport json\nimport shutil\nfrom datetime import datetime\nfrom pathlib import Path\nfrom typing import Optional\n\nfrom sqlalchemy.orm import Session, sessionmaker\n\nfrom api.database import Feature\n\n\ndef migrate_json_to_sqlite(\n project_dir: Path,\n session_maker: sessionmaker,\n) -> bool:\n \"\"\"\n Detect existing feature_list.json, import to SQLite, rename to backup.\n\n This function:\n 1. Checks if feature_list.json exists\n 2. Checks if database already has data (skips if so)\n 3. Imports all features from JSON\n 4. Renames JSON file to feature_list.json.backup.<timestamp>\n\n Args:\n project_dir: Directory containing the project\n session_maker: SQLAlchemy session maker\n\n Returns:\n True if migration was performed, False if skipped\n \"\"\"\n json_file = project_dir / \"feature_list.json\"\n\n if not json_file.exists():\n return False # No JSON file to migrate\n\n # Check if database already has data\n session: Session = session_maker()\n try:\n existing_count = session.query(Feature).count()\n if existing_count > 0:\n print(\n f\"Database already has {existing_count} features, skipping migration\"\n )\n return False\n finally:\n session.close()\n\n # Load JSON data\n try:\n with open(json_file, \"r\", encoding=\"utf-8\") as f:\n features_data = json.load(f)\n except json.JSONDecodeError as e:\n print(f\"Error parsing feature_list.json: {e}\")\n return False\n except IOError as e:\n print(f\"Error reading feature_list.json: {e}\")\n return False\n\n if not isinstance(features_data, list):\n print(\"Error: feature_list.json must contain a JSON array\")\n return False\n\n # Import features into database\n session = session_maker()\n try:\n imported_count = 0\n for i, feature_dict in enumerate(features_data):\n # Handle both old format (no id/priority/name) and new format\n feature = Feature(\n id=feature_dict.get(\"id\", i + 1),\n priority=feature_dict.get(\"priority\", i + 1),\n category=feature_dict.get(\"category\", \"uncategorized\"),\n name=feature_dict.get(\"name\", f\"Feature {i + 1}\"),\n description=feature_dict.get(\"description\", \"\"),\n steps=feature_dict.get(\"steps\", []),\n passes=feature_dict.get(\"passes\", False),\n )\n session.add(feature)\n imported_count += 1\n\n session.commit()\n\n # Verify import\n final_count = session.query(Feature).count()\n print(f\"Migrated {final_count} features from JSON to SQLite\")\n\n except Exception as e:\n session.rollback()\n print(f\"Error during migration: {e}\")\n return False\n finally:\n session.close()\n\n # Rename JSON file to backup\n timestamp = datetime.now().strftime(\"%Y%m%d_%H%M%S\")\n backup_file = project_dir / f\"feature_list.json.backup.{timestamp}\"\n\n try:\n shutil.move(json_file, backup_file)\n print(f\"Original JSON backed up to: {backup_file.name}\")\n except IOError as e:\n print(f\"Warning: Could not backup JSON file: {e}\")\n # Continue anyway - the data is in the database\n\n return True\n\n\ndef export_to_json(\n project_dir: Path,\n session_maker: sessionmaker,\n output_file: Optional[Path] = None,\n) -> Path:\n \"\"\"\n Export features from database back to JSON format.\n\n Useful for debugging or if you need to revert to the old format.\n\n Args:\n project_dir: Directory containing the project\n session_maker: SQLAlchemy session maker\n output_file: Output file path (default: feature_list_export.json)\n\n Returns:\n Path to the exported file\n \"\"\"\n if output_file is None:\n output_file = project_dir / \"feature_list_export.json\"\n\n session: Session = session_maker()\n try:\n features = (\n session.query(Feature)\n .order_by(Feature.priority.asc(), Feature.id.asc())\n .all()\n )\n\n features_data = [f.to_dict() for f in features]\n\n with open(output_file, \"w\", encoding=\"utf-8\") as f:\n json.dump(features_data, f, indent=2)\n\n print(f\"Exported {len(features_data)} features to {output_file}\")\n return output_file\n\n finally:\n session.close()\n","numLines":155,"startLine":1,"totalLines":155}},"sourceToolAssistantUUID":"bc0ed934-9c8b-4438-9f4d-40532805c4ee"}
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{"parentUuid":"899c3864-047c-48ee-9633-4dc99891e20c","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","message":{"model":"claude-haiku-4-5-20251001","id":"msg_0136SWcZY8rZCd8MCTr51hh1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_0185gGZU5sEzPET4CL1Br1TE","name":"Grep","input":{"pattern":"message|context|history|conversation","path":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0","type":"py","head_limit":20}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":8976,"cache_read_input_tokens":40586,"cache_creation":{"ephemeral_5m_input_tokens":8976,"ephemeral_1h_input_tokens":0},"output_tokens":275,"service_tier":"standard"}},"requestId":"req_011CX1uVbEj63F6mK6uhCpGV","type":"assistant","uuid":"f0672676-d840-4ba7-868a-224f356fb895","timestamp":"2026-01-11T16:28:10.153Z"}
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{"parentUuid":"899c3864-047c-48ee-9633-4dc99891e20c","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01AC9QrkrsvFp8KzNVv8xnFS","type":"tool_result","content":" 1→#!/usr/bin/env python3\n 2→\"\"\"\n 3→Autonomous Coding Agent Demo\n 4→============================\n 5→\n 6→A minimal harness demonstrating long-running autonomous coding with Claude.\n 7→This script implements the two-agent pattern (initializer + coding agent) and\n 8→incorporates all the strategies from the long-running agents guide.\n 9→\n 10→Example Usage:\n 11→ # Using absolute path directly\n 12→ python autonomous_agent_demo.py --project-dir C:/Projects/my-app\n 13→\n 14→ # Using registered project name (looked up from registry)\n 15→ python autonomous_agent_demo.py --project-dir my-app\n 16→\n 17→ # Limit iterations for testing\n 18→ python autonomous_agent_demo.py --project-dir my-app --max-iterations 5\n 19→\n 20→ # YOLO mode: rapid prototyping without browser testing\n 21→ python autonomous_agent_demo.py --project-dir my-app --yolo\n 22→\"\"\"\n 23→\n 24→import argparse\n 25→import asyncio\n 26→from pathlib import Path\n 27→\n 28→from dotenv import load_dotenv\n 29→\n 30→# Load environment variables from .env file (if it exists)\n 31→# IMPORTANT: Must be called BEFORE importing other modules that read env vars at load time\n 32→load_dotenv()\n 33→\n 34→from agent import run_autonomous_agent\n 35→from registry import get_project_path\n 36→\n 37→# Configuration\n 38→# DEFAULT_MODEL = \"claude-sonnet-4-5-20250929\"\n 39→DEFAULT_MODEL = \"claude-opus-4-5-20251101\"\n 40→\n 41→\n 42→def parse_args() -> argparse.Namespace:\n 43→ \"\"\"Parse command line arguments.\"\"\"\n 44→ parser = argparse.ArgumentParser(\n 45→ description=\"Autonomous Coding Agent Demo - Long-running agent harness\",\n 46→ formatter_class=argparse.RawDescriptionHelpFormatter,\n 47→ epilog=\"\"\"\n 48→Examples:\n 49→ # Use absolute path directly\n 50→ python autonomous_agent_demo.py --project-dir C:/Projects/my-app\n 51→\n 52→ # Use registered project name (looked up from registry)\n 53→ python autonomous_agent_demo.py --project-dir my-app\n 54→\n 55→ # Use a specific model\n 56→ python autonomous_agent_demo.py --project-dir my-app --model claude-sonnet-4-5-20250929\n 57→\n 58→ # Limit iterations for testing\n 59→ python autonomous_agent_demo.py --project-dir my-app --max-iterations 5\n 60→\n 61→ # YOLO mode: rapid prototyping without browser testing\n 62→ python autonomous_agent_demo.py --project-dir my-app --yolo\n 63→\n 64→Authentication:\n 65→ Uses Claude CLI credentials from ~/.claude/.credentials.json\n 66→ Run 'claude login' to authenticate (handled by start.bat/start.sh)\n 67→ \"\"\",\n 68→ )\n 69→\n 70→ parser.add_argument(\n 71→ \"--project-dir\",\n 72→ type=str,\n 73→ required=True,\n 74→ help=\"Project directory path (absolute) or registered project name\",\n 75→ )\n 76→\n 77→ parser.add_argument(\n 78→ \"--max-iterations\",\n 79→ type=int,\n 80→ default=None,\n 81→ help=\"Maximum number of agent iterations (default: unlimited)\",\n 82→ )\n 83→\n 84→ parser.add_argument(\n 85→ \"--model\",\n 86→ type=str,\n 87→ default=DEFAULT_MODEL,\n 88→ help=f\"Claude model to use (default: {DEFAULT_MODEL})\",\n 89→ )\n 90→\n 91→ parser.add_argument(\n 92→ \"--yolo\",\n 93→ action=\"store_true\",\n 94→ default=False,\n 95→ help=\"Enable YOLO mode: rapid prototyping without browser testing\",\n 96→ )\n 97→\n 98→ return parser.parse_args()\n 99→\n 100→\n 101→def main() -> None:\n 102→ \"\"\"Main entry point.\"\"\"\n 103→ args = parse_args()\n 104→\n 105→ # Note: Authentication is handled by start.bat/start.sh before this script runs.\n 106→ # The Claude SDK auto-detects credentials from ~/.claude/.credentials.json\n 107→\n 108→ # Resolve project directory:\n 109→ # 1. If absolute path, use as-is\n 110→ # 2. Otherwise, look up from registry by name\n 111→ project_dir_input = args.project_dir\n 112→ project_dir = Path(project_dir_input)\n 113→\n 114→ if project_dir.is_absolute():\n 115→ # Absolute path provided - use directly\n 116→ if not project_dir.exists():\n 117→ print(f\"Error: Project directory does not exist: {project_dir}\")\n 118→ return\n 119→ else:\n 120→ # Treat as a project name - look up from registry\n 121→ registered_path = get_project_path(project_dir_input)\n 122→ if registered_path:\n 123→ project_dir = registered_path\n 124→ else:\n 125→ print(f\"Error: Project '{project_dir_input}' not found in registry\")\n 126→ print(\"Use an absolute path or register the project first.\")\n 127→ return\n 128→\n 129→ try:\n 130→ # Run the agent (MCP server handles feature database)\n 131→ asyncio.run(\n 132→ run_autonomous_agent(\n 133→ project_dir=project_dir,\n 134→ model=args.model,\n 135→ max_iterations=args.max_iterations,\n 136→ yolo_mode=args.yolo,\n 137→ )\n 138→ )\n 139→ except KeyboardInterrupt:\n 140→ print(\"\\n\\nInterrupted by user\")\n 141→ print(\"To resume, run the same command again\")\n 142→ except Exception as e:\n 143→ print(f\"\\nFatal error: {e}\")\n 144→ raise\n 145→\n 146→\n 147→if __name__ == \"__main__\":\n 148→ main()\n 149→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"72293a5e-b7f0-4abc-b619-66ded4555f14","timestamp":"2026-01-11T16:28:31.450Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\autonomous_agent_demo.py","content":"#!/usr/bin/env python3\n\"\"\"\nAutonomous Coding Agent Demo\n============================\n\nA minimal harness demonstrating long-running autonomous coding with Claude.\nThis script implements the two-agent pattern (initializer + coding agent) and\nincorporates all the strategies from the long-running agents guide.\n\nExample Usage:\n # Using absolute path directly\n python autonomous_agent_demo.py --project-dir C:/Projects/my-app\n\n # Using registered project name (looked up from registry)\n python autonomous_agent_demo.py --project-dir my-app\n\n # Limit iterations for testing\n python autonomous_agent_demo.py --project-dir my-app --max-iterations 5\n\n # YOLO mode: rapid prototyping without browser testing\n python autonomous_agent_demo.py --project-dir my-app --yolo\n\"\"\"\n\nimport argparse\nimport asyncio\nfrom pathlib import Path\n\nfrom dotenv import load_dotenv\n\n# Load environment variables from .env file (if it exists)\n# IMPORTANT: Must be called BEFORE importing other modules that read env vars at load time\nload_dotenv()\n\nfrom agent import run_autonomous_agent\nfrom registry import get_project_path\n\n# Configuration\n# DEFAULT_MODEL = \"claude-sonnet-4-5-20250929\"\nDEFAULT_MODEL = \"claude-opus-4-5-20251101\"\n\n\ndef parse_args() -> argparse.Namespace:\n \"\"\"Parse command line arguments.\"\"\"\n parser = argparse.ArgumentParser(\n description=\"Autonomous Coding Agent Demo - Long-running agent harness\",\n formatter_class=argparse.RawDescriptionHelpFormatter,\n epilog=\"\"\"\nExamples:\n # Use absolute path directly\n python autonomous_agent_demo.py --project-dir C:/Projects/my-app\n\n # Use registered project name (looked up from registry)\n python autonomous_agent_demo.py --project-dir my-app\n\n # Use a specific model\n python autonomous_agent_demo.py --project-dir my-app --model claude-sonnet-4-5-20250929\n\n # Limit iterations for testing\n python autonomous_agent_demo.py --project-dir my-app --max-iterations 5\n\n # YOLO mode: rapid prototyping without browser testing\n python autonomous_agent_demo.py --project-dir my-app --yolo\n\nAuthentication:\n Uses Claude CLI credentials from ~/.claude/.credentials.json\n Run 'claude login' to authenticate (handled by start.bat/start.sh)\n \"\"\",\n )\n\n parser.add_argument(\n \"--project-dir\",\n type=str,\n required=True,\n help=\"Project directory path (absolute) or registered project name\",\n )\n\n parser.add_argument(\n \"--max-iterations\",\n type=int,\n default=None,\n help=\"Maximum number of agent iterations (default: unlimited)\",\n )\n\n parser.add_argument(\n \"--model\",\n type=str,\n default=DEFAULT_MODEL,\n help=f\"Claude model to use (default: {DEFAULT_MODEL})\",\n )\n\n parser.add_argument(\n \"--yolo\",\n action=\"store_true\",\n default=False,\n help=\"Enable YOLO mode: rapid prototyping without browser testing\",\n )\n\n return parser.parse_args()\n\n\ndef main() -> None:\n \"\"\"Main entry point.\"\"\"\n args = parse_args()\n\n # Note: Authentication is handled by start.bat/start.sh before this script runs.\n # The Claude SDK auto-detects credentials from ~/.claude/.credentials.json\n\n # Resolve project directory:\n # 1. If absolute path, use as-is\n # 2. Otherwise, look up from registry by name\n project_dir_input = args.project_dir\n project_dir = Path(project_dir_input)\n\n if project_dir.is_absolute():\n # Absolute path provided - use directly\n if not project_dir.exists():\n print(f\"Error: Project directory does not exist: {project_dir}\")\n return\n else:\n # Treat as a project name - look up from registry\n registered_path = get_project_path(project_dir_input)\n if registered_path:\n project_dir = registered_path\n else:\n print(f\"Error: Project '{project_dir_input}' not found in registry\")\n print(\"Use an absolute path or register the project first.\")\n return\n\n try:\n # Run the agent (MCP server handles feature database)\n asyncio.run(\n run_autonomous_agent(\n project_dir=project_dir,\n model=args.model,\n max_iterations=args.max_iterations,\n yolo_mode=args.yolo,\n )\n )\n except KeyboardInterrupt:\n print(\"\\n\\nInterrupted by user\")\n print(\"To resume, run the same command again\")\n except Exception as e:\n print(f\"\\nFatal error: {e}\")\n raise\n\n\nif __name__ == \"__main__\":\n main()\n","numLines":149,"startLine":1,"totalLines":149}},"sourceToolAssistantUUID":"899c3864-047c-48ee-9633-4dc99891e20c"}
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{"parentUuid":"b0335944-6f40-4841-96fb-b57320c8c8b8","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01MdYvZrJj9xPzBmvCSQWfwv","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me check the prompts file to see what context is passed to the agent:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3152,"cache_read_input_tokens":49562,"cache_creation":{"ephemeral_5m_input_tokens":3152,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX1uXaB3CCVNwsUfCvxP9","type":"assistant","uuid":"20e2e807-20ac-430c-893e-b5e8f2acd6b8","timestamp":"2026-01-11T16:28:35.029Z"}
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{"parentUuid":"20e2e807-20ac-430c-893e-b5e8f2acd6b8","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01MdYvZrJj9xPzBmvCSQWfwv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TrTSGmAo63cKncpnZxm9d5","name":"Read","input":{"file_path":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\prompts.py","limit":250}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":7,"cache_creation_input_tokens":3152,"cache_read_input_tokens":49562,"cache_creation":{"ephemeral_5m_input_tokens":3152,"ephemeral_1h_input_tokens":0},"output_tokens":135,"service_tier":"standard"}},"requestId":"req_011CX1uXaB3CCVNwsUfCvxP9","type":"assistant","uuid":"5a1aa0d0-34c0-49f7-b2cf-d7ae69bb1849","timestamp":"2026-01-11T16:28:35.657Z"}
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{"parentUuid":"5a1aa0d0-34c0-49f7-b2cf-d7ae69bb1849","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TrTSGmAo63cKncpnZxm9d5","type":"tool_result","content":" 1→\"\"\"\n 2→Prompt Loading Utilities\n 3→========================\n 4→\n 5→Functions for loading prompt templates with project-specific support.\n 6→\n 7→Fallback chain:\n 8→1. Project-specific: {project_dir}/prompts/{name}.md\n 9→2. Base template: .claude/templates/{name}.template.md\n 10→\n 11→Context injection:\n 12→- Infrastructure context from ResourceManager (servers, services)\n 13→- Credential context from CredentialResolver (with redacted secrets)\n 14→\"\"\"\n 15→\n 16→import shutil\n 17→from pathlib import Path\n 18→from typing import TYPE_CHECKING\n 19→\n 20→if TYPE_CHECKING:\n 21→ from server.services.resource_manager import ResourceManager\n 22→ from server.services.credential_resolver import CredentialResolver\n 23→\n 24→# Base templates location (generic templates)\n 25→TEMPLATES_DIR = Path(__file__).parent / \".claude\" / \"templates\"\n 26→\n 27→\n 28→def get_project_prompts_dir(project_dir: Path) -> Path:\n 29→ \"\"\"Get the prompts directory for a specific project.\"\"\"\n 30→ return project_dir / \"prompts\"\n 31→\n 32→\n 33→def load_prompt(name: str, project_dir: Path | None = None) -> str:\n 34→ \"\"\"\n 35→ Load a prompt template with fallback chain.\n 36→\n 37→ Fallback order:\n 38→ 1. Project-specific: {project_dir}/prompts/{name}.md\n 39→ 2. Base template: .claude/templates/{name}.template.md\n 40→\n 41→ Args:\n 42→ name: The prompt name (without extension), e.g., \"initializer_prompt\"\n 43→ project_dir: Optional project directory for project-specific prompts\n 44→\n 45→ Returns:\n 46→ The prompt content as a string\n 47→\n 48→ Raises:\n 49→ FileNotFoundError: If prompt not found in any location\n 50→ \"\"\"\n 51→ # 1. Try project-specific first\n 52→ if project_dir:\n 53→ project_prompts = get_project_prompts_dir(project_dir)\n 54→ project_path = project_prompts / f\"{name}.md\"\n 55→ if project_path.exists():\n 56→ try:\n 57→ return project_path.read_text(encoding=\"utf-8\")\n 58→ except (OSError, PermissionError) as e:\n 59→ print(f\"Warning: Could not read {project_path}: {e}\")\n 60→\n 61→ # 2. Try base template\n 62→ template_path = TEMPLATES_DIR / f\"{name}.template.md\"\n 63→ if template_path.exists():\n 64→ try:\n 65→ return template_path.read_text(encoding=\"utf-8\")\n 66→ except (OSError, PermissionError) as e:\n 67→ print(f\"Warning: Could not read {template_path}: {e}\")\n 68→\n 69→ raise FileNotFoundError(\n 70→ f\"Prompt '{name}' not found in:\\n\"\n 71→ f\" - Project: {project_dir / 'prompts' if project_dir else 'N/A'}\\n\"\n 72→ f\" - Templates: {TEMPLATES_DIR}\"\n 73→ )\n 74→\n 75→\n 76→def get_initializer_prompt(project_dir: Path | None = None) -> str:\n 77→ \"\"\"Load the initializer prompt (project-specific if available).\"\"\"\n 78→ return load_prompt(\"initializer_prompt\", project_dir)\n 79→\n 80→\n 81→def get_coding_prompt(project_dir: Path | None = None) -> str:\n 82→ \"\"\"Load the coding agent prompt (project-specific if available).\"\"\"\n 83→ return load_prompt(\"coding_prompt\", project_dir)\n 84→\n 85→\n 86→def get_coding_prompt_yolo(project_dir: Path | None = None) -> str:\n 87→ \"\"\"Load the YOLO mode coding agent prompt (project-specific if available).\"\"\"\n 88→ return load_prompt(\"coding_prompt_yolo\", project_dir)\n 89→\n 90→\n 91→def get_app_spec(project_dir: Path) -> str:\n 92→ \"\"\"\n 93→ Load the app spec from the project.\n 94→\n 95→ Checks in order:\n 96→ 1. Project prompts directory: {project_dir}/prompts/app_spec.txt\n 97→ 2. Project root (legacy): {project_dir}/app_spec.txt\n 98→\n 99→ Args:\n 100→ project_dir: The project directory\n 101→\n 102→ Returns:\n 103→ The app spec content\n 104→\n 105→ Raises:\n 106→ FileNotFoundError: If no app_spec.txt found\n 107→ \"\"\"\n 108→ # Try project prompts directory first\n 109→ project_prompts = get_project_prompts_dir(project_dir)\n 110→ spec_path = project_prompts / \"app_spec.txt\"\n 111→ if spec_path.exists():\n 112→ try:\n 113→ return spec_path.read_text(encoding=\"utf-8\")\n 114→ except (OSError, PermissionError) as e:\n 115→ raise FileNotFoundError(f\"Could not read {spec_path}: {e}\") from e\n 116→\n 117→ # Fallback to legacy location in project root\n 118→ legacy_spec = project_dir / \"app_spec.txt\"\n 119→ if legacy_spec.exists():\n 120→ try:\n 121→ return legacy_spec.read_text(encoding=\"utf-8\")\n 122→ except (OSError, PermissionError) as e:\n 123→ raise FileNotFoundError(f\"Could not read {legacy_spec}: {e}\") from e\n 124→\n 125→ raise FileNotFoundError(f\"No app_spec.txt found for project: {project_dir}\")\n 126→\n 127→\n 128→def scaffold_project_prompts(project_dir: Path) -> Path:\n 129→ \"\"\"\n 130→ Create the project prompts directory and copy base templates.\n 131→\n 132→ This sets up a new project with template files that can be customized.\n 133→\n 134→ Args:\n 135→ project_dir: The absolute path to the project directory\n 136→\n 137→ Returns:\n 138→ The path to the project prompts directory\n 139→ \"\"\"\n 140→ project_prompts = get_project_prompts_dir(project_dir)\n 141→ project_prompts.mkdir(parents=True, exist_ok=True)\n 142→\n 143→ # Define template mappings: (source_template, destination_name)\n 144→ templates = [\n 145→ (\"app_spec.template.txt\", \"app_spec.txt\"),\n 146→ (\"coding_prompt.template.md\", \"coding_prompt.md\"),\n 147→ (\"coding_prompt_yolo.template.md\", \"coding_prompt_yolo.md\"),\n 148→ (\"initializer_prompt.template.md\", \"initializer_prompt.md\"),\n 149→ ]\n 150→\n 151→ copied_files = []\n 152→ for template_name, dest_name in templates:\n 153→ template_path = TEMPLATES_DIR / template_name\n 154→ dest_path = project_prompts / dest_name\n 155→\n 156→ # Only copy if template exists and destination doesn't\n 157→ if template_path.exists() and not dest_path.exists():\n 158→ try:\n 159→ shutil.copy(template_path, dest_path)\n 160→ copied_files.append(dest_name)\n 161→ except (OSError, PermissionError) as e:\n 162→ print(f\" Warning: Could not copy {dest_name}: {e}\")\n 163→\n 164→ if copied_files:\n 165→ print(f\" Created prompt files: {', '.join(copied_files)}\")\n 166→\n 167→ return project_prompts\n 168→\n 169→\n 170→def has_project_prompts(project_dir: Path) -> bool:\n 171→ \"\"\"\n 172→ Check if a project has valid prompts set up.\n 173→\n 174→ A project has valid prompts if:\n 175→ 1. The prompts directory exists, AND\n 176→ 2. app_spec.txt exists within it, AND\n 177→ 3. app_spec.txt contains the <project_specification> tag\n 178→\n 179→ Args:\n 180→ project_dir: The project directory to check\n 181→\n 182→ Returns:\n 183→ True if valid project prompts exist, False otherwise\n 184→ \"\"\"\n 185→ project_prompts = get_project_prompts_dir(project_dir)\n 186→ app_spec = project_prompts / \"app_spec.txt\"\n 187→\n 188→ if not app_spec.exists():\n 189→ # Also check legacy location in project root\n 190→ legacy_spec = project_dir / \"app_spec.txt\"\n 191→ if legacy_spec.exists():\n 192→ try:\n 193→ content = legacy_spec.read_text(encoding=\"utf-8\")\n 194→ return \"<project_specification>\" in content\n 195→ except (OSError, PermissionError):\n 196→ return False\n 197→ return False\n 198→\n 199→ # Check for valid spec content\n 200→ try:\n 201→ content = app_spec.read_text(encoding=\"utf-8\")\n 202→ return \"<project_specification>\" in content\n 203→ except (OSError, PermissionError):\n 204→ return False\n 205→\n 206→\n 207→def copy_spec_to_project(project_dir: Path) -> None:\n 208→ \"\"\"\n 209→ Copy the app spec file into the project root directory for the agent to read.\n 210→\n 211→ This maintains backwards compatibility - the agent expects app_spec.txt\n 212→ in the project root directory.\n 213→\n 214→ The spec is sourced from: {project_dir}/prompts/app_spec.txt\n 215→\n 216→ Args:\n 217→ project_dir: The project directory\n 218→ \"\"\"\n 219→ spec_dest = project_dir / \"app_spec.txt\"\n 220→\n 221→ # Don't overwrite if already exists\n 222→ if spec_dest.exists():\n 223→ return\n 224→\n 225→ # Copy from project prompts directory\n 226→ project_prompts = get_project_prompts_dir(project_dir)\n 227→ project_spec = project_prompts / \"app_spec.txt\"\n 228→ if project_spec.exists():\n 229→ try:\n 230→ shutil.copy(project_spec, spec_dest)\n 231→ print(\"Copied app_spec.txt to project directory\")\n 232→ return\n 233→ except (OSError, PermissionError) as e:\n 234→ print(f\"Warning: Could not copy app_spec.txt: {e}\")\n 235→ return\n 236→\n 237→ print(\"Warning: No app_spec.txt found to copy to project directory\")\n 238→\n 239→\n 240→# =============================================================================\n 241→# Context Injection\n 242→# =============================================================================\n 243→\n 244→\n 245→def get_infrastructure_context(\n 246→ project_name: str,\n 247→ project_dir: Path,\n 248→ include_credentials: bool = True,\n 249→) -> str:\n 250→ \"\"\"\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"uuid":"9f2f7193-fa5c-41ea-b816-1af0eb96dec2","timestamp":"2026-01-11T16:28:45.965Z","toolUseResult":{"type":"text","file":{"filePath":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4\\..\\..\\Autocode-remix\\Autocoder-2.0\\prompts.py","content":"\"\"\"\nPrompt Loading Utilities\n========================\n\nFunctions for loading prompt templates with project-specific support.\n\nFallback chain:\n1. Project-specific: {project_dir}/prompts/{name}.md\n2. Base template: .claude/templates/{name}.template.md\n\nContext injection:\n- Infrastructure context from ResourceManager (servers, services)\n- Credential context from CredentialResolver (with redacted secrets)\n\"\"\"\n\nimport shutil\nfrom pathlib import Path\nfrom typing import TYPE_CHECKING\n\nif TYPE_CHECKING:\n from server.services.resource_manager import ResourceManager\n from server.services.credential_resolver import CredentialResolver\n\n# Base templates location (generic templates)\nTEMPLATES_DIR = Path(__file__).parent / \".claude\" / \"templates\"\n\n\ndef get_project_prompts_dir(project_dir: Path) -> Path:\n \"\"\"Get the prompts directory for a specific project.\"\"\"\n return project_dir / \"prompts\"\n\n\ndef load_prompt(name: str, project_dir: Path | None = None) -> str:\n \"\"\"\n Load a prompt template with fallback chain.\n\n Fallback order:\n 1. Project-specific: {project_dir}/prompts/{name}.md\n 2. Base template: .claude/templates/{name}.template.md\n\n Args:\n name: The prompt name (without extension), e.g., \"initializer_prompt\"\n project_dir: Optional project directory for project-specific prompts\n\n Returns:\n The prompt content as a string\n\n Raises:\n FileNotFoundError: If prompt not found in any location\n \"\"\"\n # 1. Try project-specific first\n if project_dir:\n project_prompts = get_project_prompts_dir(project_dir)\n project_path = project_prompts / f\"{name}.md\"\n if project_path.exists():\n try:\n return project_path.read_text(encoding=\"utf-8\")\n except (OSError, PermissionError) as e:\n print(f\"Warning: Could not read {project_path}: {e}\")\n\n # 2. Try base template\n template_path = TEMPLATES_DIR / f\"{name}.template.md\"\n if template_path.exists():\n try:\n return template_path.read_text(encoding=\"utf-8\")\n except (OSError, PermissionError) as e:\n print(f\"Warning: Could not read {template_path}: {e}\")\n\n raise FileNotFoundError(\n f\"Prompt '{name}' not found in:\\n\"\n f\" - Project: {project_dir / 'prompts' if project_dir else 'N/A'}\\n\"\n f\" - Templates: {TEMPLATES_DIR}\"\n )\n\n\ndef get_initializer_prompt(project_dir: Path | None = None) -> str:\n \"\"\"Load the initializer prompt (project-specific if available).\"\"\"\n return load_prompt(\"initializer_prompt\", project_dir)\n\n\ndef get_coding_prompt(project_dir: Path | None = None) -> str:\n \"\"\"Load the coding agent prompt (project-specific if available).\"\"\"\n return load_prompt(\"coding_prompt\", project_dir)\n\n\ndef get_coding_prompt_yolo(project_dir: Path | None = None) -> str:\n \"\"\"Load the YOLO mode coding agent prompt (project-specific if available).\"\"\"\n return load_prompt(\"coding_prompt_yolo\", project_dir)\n\n\ndef get_app_spec(project_dir: Path) -> str:\n \"\"\"\n Load the app spec from the project.\n\n Checks in order:\n 1. Project prompts directory: {project_dir}/prompts/app_spec.txt\n 2. Project root (legacy): {project_dir}/app_spec.txt\n\n Args:\n project_dir: The project directory\n\n Returns:\n The app spec content\n\n Raises:\n FileNotFoundError: If no app_spec.txt found\n \"\"\"\n # Try project prompts directory first\n project_prompts = get_project_prompts_dir(project_dir)\n spec_path = project_prompts / \"app_spec.txt\"\n if spec_path.exists():\n try:\n return spec_path.read_text(encoding=\"utf-8\")\n except (OSError, PermissionError) as e:\n raise FileNotFoundError(f\"Could not read {spec_path}: {e}\") from e\n\n # Fallback to legacy location in project root\n legacy_spec = project_dir / \"app_spec.txt\"\n if legacy_spec.exists():\n try:\n return legacy_spec.read_text(encoding=\"utf-8\")\n except (OSError, PermissionError) as e:\n raise FileNotFoundError(f\"Could not read {legacy_spec}: {e}\") from e\n\n raise FileNotFoundError(f\"No app_spec.txt found for project: {project_dir}\")\n\n\ndef scaffold_project_prompts(project_dir: Path) -> Path:\n \"\"\"\n Create the project prompts directory and copy base templates.\n\n This sets up a new project with template files that can be customized.\n\n Args:\n project_dir: The absolute path to the project directory\n\n Returns:\n The path to the project prompts directory\n \"\"\"\n project_prompts = get_project_prompts_dir(project_dir)\n project_prompts.mkdir(parents=True, exist_ok=True)\n\n # Define template mappings: (source_template, destination_name)\n templates = [\n (\"app_spec.template.txt\", \"app_spec.txt\"),\n (\"coding_prompt.template.md\", \"coding_prompt.md\"),\n (\"coding_prompt_yolo.template.md\", \"coding_prompt_yolo.md\"),\n (\"initializer_prompt.template.md\", \"initializer_prompt.md\"),\n ]\n\n copied_files = []\n for template_name, dest_name in templates:\n template_path = TEMPLATES_DIR / template_name\n dest_path = project_prompts / dest_name\n\n # Only copy if template exists and destination doesn't\n if template_path.exists() and not dest_path.exists():\n try:\n shutil.copy(template_path, dest_path)\n copied_files.append(dest_name)\n except (OSError, PermissionError) as e:\n print(f\" Warning: Could not copy {dest_name}: {e}\")\n\n if copied_files:\n print(f\" Created prompt files: {', '.join(copied_files)}\")\n\n return project_prompts\n\n\ndef has_project_prompts(project_dir: Path) -> bool:\n \"\"\"\n Check if a project has valid prompts set up.\n\n A project has valid prompts if:\n 1. The prompts directory exists, AND\n 2. app_spec.txt exists within it, AND\n 3. app_spec.txt contains the <project_specification> tag\n\n Args:\n project_dir: The project directory to check\n\n Returns:\n True if valid project prompts exist, False otherwise\n \"\"\"\n project_prompts = get_project_prompts_dir(project_dir)\n app_spec = project_prompts / \"app_spec.txt\"\n\n if not app_spec.exists():\n # Also check legacy location in project root\n legacy_spec = project_dir / \"app_spec.txt\"\n if legacy_spec.exists():\n try:\n content = legacy_spec.read_text(encoding=\"utf-8\")\n return \"<project_specification>\" in content\n except (OSError, PermissionError):\n return False\n return False\n\n # Check for valid spec content\n try:\n content = app_spec.read_text(encoding=\"utf-8\")\n return \"<project_specification>\" in content\n except (OSError, PermissionError):\n return False\n\n\ndef copy_spec_to_project(project_dir: Path) -> None:\n \"\"\"\n Copy the app spec file into the project root directory for the agent to read.\n\n This maintains backwards compatibility - the agent expects app_spec.txt\n in the project root directory.\n\n The spec is sourced from: {project_dir}/prompts/app_spec.txt\n\n Args:\n project_dir: The project directory\n \"\"\"\n spec_dest = project_dir / \"app_spec.txt\"\n\n # Don't overwrite if already exists\n if spec_dest.exists():\n return\n\n # Copy from project prompts directory\n project_prompts = get_project_prompts_dir(project_dir)\n project_spec = project_prompts / \"app_spec.txt\"\n if project_spec.exists():\n try:\n shutil.copy(project_spec, spec_dest)\n print(\"Copied app_spec.txt to project directory\")\n return\n except (OSError, PermissionError) as e:\n print(f\"Warning: Could not copy app_spec.txt: {e}\")\n return\n\n print(\"Warning: No app_spec.txt found to copy to project directory\")\n\n\n# =============================================================================\n# Context Injection\n# =============================================================================\n\n\ndef get_infrastructure_context(\n project_name: str,\n project_dir: Path,\n include_credentials: bool = True,\n) -> str:\n \"\"\"","numLines":250,"startLine":1,"totalLines":543}},"sourceToolAssistantUUID":"5a1aa0d0-34c0-49f7-b2cf-d7ae69bb1849"}
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{"parentUuid":"9f2f7193-fa5c-41ea-b816-1af0eb96dec2","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects\\ACPP\\AutoCoderPlus4","sessionId":"146a9d38-f650-45e9-9c87-c414b3d80cd7","version":"2.1.4","gitBranch":"main","agentId":"a9a5626","slug":"hazy-wiggling-octopus","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01SDJBkqdLGdveMDKD1GMpCs","type":"message","role":"assistant","content":[{"type":"text","text":"Perfect! Now I have a comprehensive understanding of the codebase. Let me create a detailed analysis report of the session recovery/checkpointing architecture.\n\n## Session Recovery/Checkpointing Analysis for Autocoder 2.0\n\nBased on my thorough exploration of the Autocoder 2.0 codebase, here's a comprehensive analysis of the current session state management and recommendations for implementing session recovery/checkpointing:\n\n---\n\n### 1. CURRENT SESSION STATE ARCHITECTURE\n\n#### A. Agent Session Lifecycle (`agent.py`)\nThe agent operates in a fresh context for each iteration:\n- **No persistent message history**: Each iteration creates a new `ClaudeSDKClient` from scratch\n- **Feature-driven iteration**: Uses `is_first_run` flag to determine if initializer or coding agent should run\n- **Detection mechanism**: `has_features(project_dir)` checks if `features.db` has records to distinguish between fresh starts and continuations\n- **Auto-continue pattern**: After each session completes, auto-continues after 3-second delay if status == \"continue\"\n\n**Key limitation**: While feature state persists in the database, the Claude agent context is completely discarded between sessions. There's no memory of what work was done, what approaches were tried, or what blockers were encountered.\n\n#### B. Process Lifecycle Management (`process_manager.py`)\n**Lock file mechanism** (`.agent.lock`):\n- Stores PID of running agent process\n- Prevents multiple agents from running on same project\n- Checked on startup; stale locks cleaned up\n- Lock removed on process termination\n\n**State tracking**:\n```python\n_status: Literal[\"stopped\", \"running\", \"paused\", \"crashed\"]\nstarted_at: datetime\nyolo_mode: bool\npid: int\n```\n\n**Process tree killing**: Handles cleanup of agent + MCP servers + child processes on stop\n\n**Health checking**: Can detect crashed processes and update status accordingly\n\n#### C. Feature State Persistence (`api/database.py` + `mcp_server/feature_mcp.py`)\n\n**Feature database schema** (SQLite):\n```python\nid: Integer (primary key)\npriority: Integer (index)\ncategory: String\nname: String\ndescription: Text\nsteps: JSON (array of strings)\npasses: Boolean (index) # Marks completion\nin_progress: Boolean (index) # Marks active work\n```\n\n**MCP tools for state mutation**:\n- `feature_mark_passing(feature_id)` - Mark complete\n- `feature_mark_in_progress(feature_id)` - Lock feature for work\n- `feature_clear_in_progress(feature_id)` - Unlock on failure\n- `feature_skip(feature_id)` - Move to end of queue\n- `feature_get_next()` - Get highest-priority pending feature\n- `feature_get_stats()` - Get passing/in_progress/total counts\n\n**Progress caching** (`progress.py`):\n- Stores passing feature IDs in `.progress_cache` JSON file\n- Used to detect new passing tests and send webhooks\n- Backup: Database queries directly count features with `passes=1`\n\n#### D. File Locking for Parallel Work (`file_lock.py`)\n\n**In-memory lock manager**:\n- Async-safe, per-file locks with expiration\n- Supports timeouts (default 1 hour)\n- Used to coordinate parallel agents\n- Lock info: `file_path`, `feature_id`, `agent_id`, `locked_at`, `expires_at`\n- Can be force-released for recovery\n\n**Limitation**: Locks are in-memory only, lost on process restart\n\n#### E. Migration/Backward Compatibility (`api/migration.py`)\n\n**JSON to SQLite migration**:\n- Detects legacy `feature_list.json`\n- Imports to database if DB is empty\n- Renames JSON to backup with timestamp\n- Enables smooth upgrades\n\n**Export functionality**: Can export features back to JSON for debugging\n\n---\n\n### 2. WHAT STATE EXISTS DURING AN AGENT SESSION\n\n#### Session State (Ephemeral - Lost on Exit)\n```\nClaude SDK Client Context:\n├── Message history (lost after session)\n├── Tool execution results (lost after session)\n├── Current working context (lost after session)\n└── Intermediate file state (persisted via Write/Edit tools)\n```\n\n#### Persistent State (Disk-based)\n```\nProject Directory/\n├── features.db (SQLite)\n│ ├── Feature table with passes/in_progress flags\n│ ├── Auto-incremented IDs for each feature\n│ └── Priority ordering\n├── .agent.lock (PID file)\n├── .progress_cache (JSON - passing feature IDs)\n├── Generated code files (created by agent)\n├── .claude_settings.json (security config per session)\n└── [project files created/modified by agent]\n```\n\n---\n\n### 3. KEY CHECKPOINT TRIGGERS & RECOVERY POINTS\n\n#### Natural Checkpoint Opportunities\n1. **After tool use completes** (Write/Edit/Bash)\n - Tool result is received\n - State before tool can be saved\n - Recovery can resume from tool result\n\n2. **After feature marked passing**\n - `feature_mark_passing(feature_id)` called\n - Database transaction committed\n - Next session picks up at `feature_get_next()`\n\n3. **After feature marked in_progress**\n - `feature_mark_in_progress(feature_id)` called\n - Prevents duplicate work if session crashes\n - Recovery can detect stuck features via stale in_progress flags\n\n4. **On session start**\n - Check for interrupted features (in_progress=1 but not by current session)\n - Could resume work or reset stale flags\n\n5. **On session end**\n - Summary of work completed\n - Reset any abandoned in_progress features\n - Create checkpoint for next iteration\n\n---\n\n### 4. RECOMMENDATIONS FOR RECOVERY/CHECKPOINTING SYSTEM\n\n#### A. Conversation History Checkpoint System\n\n**Create a session journal** (`project_dir/.session_journal/`):\n```\n.session_journal/\n├── session_001.json # Structured log of first session\n├── session_002.json # Structured log of second session\n└── current_session.json # Active session being written to\n\nSchema per session:\n{\n \"session_id\": \"uuid\",\n \"started_at\": \"ISO timestamp\",\n \"ended_at\": \"ISO timestamp\",\n \"iteration\": 1,\n \"is_initializer\": false,\n \"feature_id\": 42,\n \"initial_stats\": { \"passing\": 10, \"in_progress\": 2, \"total\": 50 },\n \"final_stats\": { \"passing\": 12, \"in_progress\": 0, \"total\": 50 },\n \"messages\": [\n {\n \"role\": \"user\",\n \"content\": \"...\",\n \"timestamp\": \"ISO\"\n },\n {\n \"role\": \"assistant\", \n \"content\": \"...\",\n \"tools_used\": [\"feature_mark_passing\"],\n \"timestamp\": \"ISO\"\n }\n ],\n \"blockers\": [\"Dependency on feature #5\", \"...\"],\n \"decisions\": [\"Skipped feature #10 due to unclear requirements\"],\n \"errors\": [\"Tool X failed with error Y\"],\n \"status\": \"success|incomplete|error\",\n \"checkpoints\": [\n {\n \"timestamp\": \"ISO\",\n \"trigger\": \"after_tool_use|after_feature_complete\",\n \"tool_name\": \"Write\",\n \"state_summary\": \"...\"\n }\n ]\n}\n```\n\n**Benefits**:\n- Can construct conversation summary for next session\n- Helps agent learn from previous decisions\n- Enables \"session replay\" for debugging\n- Tracks what didn't work to avoid retry\n\n#### B. Feature Work State Tracking\n\n**Extend Feature model** with recovery metadata:\n```python\n# Add columns to features table:\nlast_worked_on: DateTime # When feature was last attempted\nwork_session_id: String # Which session last worked on it\nattempt_count: Integer # How many times attempted\nlast_error: Text # Last error encountered\nblocked_by_features: JSON # List of feature IDs blocking this\nrecovery_notes: Text # Notes from agent about state\n```\n\n**Benefits**:\n- Detect truly stuck features\n- Avoid infinite retry loops\n- Track which sessions touched which features\n- Support intelligent recovery decisions\n\n#### C. Tool Execution Checkpoint\n\n**Track tool results** in session journal:\n```python\n{\n \"tool_execution\": {\n \"sequence\": 1,\n \"tool_name\": \"Write\",\n \"file_path\": \"src/component.tsx\",\n \"input\": {...},\n \"result\": \"Success\" | \"Error: ...\",\n \"state_before\": {\n \"feature_id\": 42,\n \"passing_count\": 10,\n \"modified_files\": [\"src/component.tsx\"]\n },\n \"state_after\": {\n \"feature_id\": 42,\n \"passing_count\": 10,\n \"modified_files\": [\"src/component.tsx\"]\n }\n }\n}\n```\n\n**Benefits**:\n- Resume from exact point of interruption\n- Provides context for tool results\n- Enables idempotent retries\n\n#### D. Stale Work Detection & Recovery\n\n**In `process_manager` or new recovery module**:\n```python\ndef detect_stale_work(project_dir, timeout_minutes=60):\n \"\"\"Find features stuck in in_progress state.\"\"\"\n session = get_session()\n \n stuck = session.query(Feature).filter(\n Feature.in_progress == True,\n Feature.updated_at < datetime.now() - timedelta(minutes=timeout_minutes)\n ).all()\n \n return stuck\n\ndef recover_stale_work(project_dir):\n \"\"\"\n On agent startup:\n 1. Detect features in in_progress state for >60 minutes\n 2. Load last session journal for that feature\n 3. Check for blockers/errors\n 4. Either reset or add to skip queue\n \"\"\"\n stuck_features = detect_stale_work(project_dir)\n for feature in stuck_features:\n journal = load_session_journal(project_dir, feature.work_session_id)\n if journal.get(\"status\") == \"error\":\n # Previous session errored - try again or skip\n feature.in_progress = False\n # Could implement escalation: add to queue with recovery_notes\n elif journal.get(\"blockers\"):\n # Previous session had blockers - skip for now\n feature_skip(feature.id)\n```\n\n**Benefits**:\n- Automatic recovery from crashes\n- Prevents zombie work assignments\n- Smart handling of blockers\n\n#### E. Session Context Injection for Recovery\n\n**Modify `prompts.py`** to include recovery context:\n```python\ndef get_recovery_context(project_dir: Path) -> str:\n \"\"\"Build context about previous work for recovery.\"\"\"\n \n # Load last session journal\n last_session = load_latest_session_journal(project_dir)\n \n if not last_session:\n return \"\"\n \n context = f\"\"\"\n## Recovery Context from Previous Session\n\n**Previous Session Status**: {last_session.get('status')}\n**Features Completed**: {last_session['final_stats']['passing']}\n**Features Attempted**: {last_session.get('feature_id')}\n\n**Previous Blockers**:\n{json.dumps(last_session.get('blockers', []), indent=2)}\n\n**Previous Errors**:\n{json.dumps(last_session.get('errors', []), indent=2)}\n\n**Decisions Made**:\n{json.dumps(last_session.get('decisions', []), indent=2)}\n\n**Session Duration**: {(last_session['ended_at'] - last_session['started_at']).total_seconds()} seconds\n\"\"\"\n \n return context\n\n# Inject into prompt:\nprompt = get_coding_prompt_with_context(project_dir)\nif is_recovery_session:\n recovery_context = get_recovery_context(project_dir)\n prompt = recovery_context + \"\\n\\n\" + prompt\n```\n\n**Benefits**:\n- Agent learns from previous mistakes\n- Avoids trying same failed approaches\n- Can handle blockers more intelligently\n- Provides continuity to human observers\n\n---\n\n### 5. IMPLEMENTATION PRIORITY ROADMAP\n\n#### Phase 1: Foundation (Session Journal)\n- Create `.session_journal/` with JSON logging\n- Log all messages and tool uses\n- Track feature stats at start/end\n- **Effort**: 2-3 days | **Impact**: High (enables all other phases)\n\n#### Phase 2: Feature Work Metadata\n- Add `last_worked_on`, `work_session_id`, `attempt_count`, `last_error` to Feature model\n- Track updates on each mark_in_progress/mark_passing call\n- Add stale work detection\n- **Effort**: 2-3 days | **Impact**: High (enables recovery)\n\n#### Phase 3: Recovery Context\n- Inject last session summary into next agent prompt\n- Analyze blockers and errors automatically\n- Skip features intelligently based on history\n- **Effort**: 2-3 days | **Impact**: Medium (improves convergence)\n\n#### Phase 4: Intelligent Resumption\n- Detect stuck features on startup\n- Clear stale in_progress flags with timeout\n- Surface recovery notes to agent\n- **Effort**: 2-3 days | **Impact**: Medium (operational stability)\n\n#### Phase 5: Advanced Features (Optional)\n- Message history reconstruction from journal\n- Tool result caching for idempotent execution\n- Automated root cause analysis of failures\n- **Effort**: 3-4 days | **Impact**: Low (nice to have)\n\n---\n\n### 6. EXISTING PATTERNS TO FOLLOW\n\n✓ **Database migrations**: Use SQLAlchemy migrations for new columns \n✓ **File organization**: Follow `.project_dir` structure convention \n✓ **JSON serialization**: Use datetime.isoformat() for timestamps \n✓ **Error handling**: Log to session journal; don't crash on missing data \n✓ **Async safety**: Use asyncio.Lock if accessed from multiple tasks \n✓ **Recovery**: Follow `process_manager` pattern of graceful cleanup \n\n---\n\n### 7. KEY FILES TO MODIFY\n\n1. **`api/database.py`** - Add feature metadata columns\n2. **`mcp_server/feature_mcp.py`** - Update to set metadata on mutations\n3. **`agent.py`** - Create session journal on startup/shutdown\n4. **`prompts.py`** - Add recovery context injection\n5. **`progress.py`** - Add session journal logging\n6. **NEW**: `session_recovery.py` - Recovery module (stale detection, context building)\n\n---\n\n### 8. CRITICAL INSIGHTS\n\n- **No message history exists**: Each session is stateless regarding conversation - this is the biggest gap\n- **Feature state is solid**: Database design supports tracking work well\n- **Process management works**: Lock files and PID tracking prevent conflicts\n- **Recovery untested**: Current system would crash and lose context on agent failure\n- **Blockers are invisible**: No mechanism to track why features are skipped\n- **Decisions are lost**: Agent discoveries about requirements/design aren't recorded\n\nThe system is well-architected for **feature state tracking** but lacks **session/decision tracking** for recovery and learning. The three essential additions are: (1) session journals, (2) feature work metadata, and (3) recovery context injection."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":5,"cache_creation_input_tokens":3327,"cache_read_input_tokens":52714,"cache_creation":{"ephemeral_5m_input_tokens":3327,"ephemeral_1h_input_tokens":0},"output_tokens":3736,"service_tier":"standard"}},"requestId":"req_011CX1uYa28qoLLB5DA3jbjT","type":"assistant","uuid":"ce86de91-7969-4fe9-b873-572442c93e83","timestamp":"2026-01-11T16:29:23.602Z"}
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