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claudetools/imported-conversations/general-work/claude-projects/ffbb1d55-48d7-4643-9b87-12eb26d1bfa4/subagents/agent-aadaae7.jsonl
Mike Swanson 75ce1c2fd5 feat: Add Sequential Thinking to Code Review + Frontend Validation 
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>
2026-01-17 16:23:52 -07:00

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{"parentUuid":null,"isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","type":"user","message":{"role":"user","content":"Test the ParallelAgentRunner in Autocoder-2.0.\n\n1. cd to C:/Users/MikeSwanson/claude-projects/Autocode-remix/Autocoder-2.0\n2. Activate venv: call venv/Scripts/activate\n3. Run this Python test:\n\n```python\nimport sys\nsys.path.insert(0, '.')\nfrom pathlib import Path\nfrom parallel_agent import ParallelAgentRunner, AgentResult, ParallelRunResult\n\nprint(\"=== ParallelAgentRunner Test ===\")\n\n# Check class exists and has expected methods\nprint(f\"ParallelAgentRunner defined: {ParallelAgentRunner is not None}\")\n\n# Check the signature\nimport inspect\nsig = inspect.signature(ParallelAgentRunner.__init__)\nprint(f\"Constructor params: {list(sig.parameters.keys())}\")\n\n# Check key methods exist\nmethods = [m for m in dir(ParallelAgentRunner) if not m.startswith('_')]\nprint(f\"Available methods: {methods}\")\n\n# Try to instantiate (this won't run agents, just tests setup)\ntry:\n test_dir = Path(\".\")\n runner = ParallelAgentRunner(\n project_dir=test_dir,\n model=\"claude-sonnet-4-20250514\",\n max_parallel=2,\n yolo_mode=True\n )\n print(f\"Runner instantiated successfully\")\n print(f\" project_dir: {runner.project_dir}\")\n print(f\" model: {runner.model}\")\n print(f\" max_parallel: {runner.max_parallel}\")\n print(f\" yolo_mode: {runner.yolo_mode}\")\nexcept Exception as e:\n print(f\"Instantiation error: {e}\")\n\n# Check if it has the main run method\nif hasattr(ParallelAgentRunner, 'run_parallel'):\n sig = inspect.signature(ParallelAgentRunner.run_parallel)\n print(f\"\\nrun_parallel signature: {sig}\")\nelif hasattr(ParallelAgentRunner, 'run'):\n sig = inspect.signature(ParallelAgentRunner.run)\n print(f\"\\nrun signature: {sig}\")\n```\n\nReport all findings about the parallel agent runner's capabilities."},"uuid":"90a644b9-4978-4d9c-81dd-221f4db81599","timestamp":"2026-01-11T14:16:13.371Z"}
{"parentUuid":"90a644b9-4978-4d9c-81dd-221f4db81599","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_019Mi6UFwxTePuLbGKD8dGdo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WzsGM2ma2jiTS7UcibKQ5r","name":"Bash","input":{"command":"cd \"C:/Users/MikeSwanson/claude-projects/Autocode-remix/Autocoder-2.0\" && call venv/Scripts/activate && python -c \"\nimport sys\nsys.path.insert(0, '.')\nfrom pathlib import Path\nfrom parallel_agent import ParallelAgentRunner, AgentResult, ParallelRunResult\n\nprint('=== ParallelAgentRunner Test ===')\n\n# Check class exists and has expected methods\nprint(f'ParallelAgentRunner defined: {ParallelAgentRunner is not None}')\n\n# Check the signature\nimport inspect\nsig = inspect.signature(ParallelAgentRunner.__init__)\nprint(f'Constructor params: {list(sig.parameters.keys())}')\n\n# Check key methods exist\nmethods = [m for m in dir(ParallelAgentRunner) if not m.startswith('_')]\nprint(f'Available methods: {methods}')\n\n# Try to instantiate (this won't run agents, just tests setup)\ntry:\n test_dir = Path('.')\n runner = ParallelAgentRunner(\n project_dir=test_dir,\n model='claude-sonnet-4-20250514',\n max_parallel=2,\n yolo_mode=True\n )\n print(f'Runner instantiated successfully')\n print(f' project_dir: {runner.project_dir}')\n print(f' model: {runner.model}')\n print(f' max_parallel: {runner.max_parallel}')\n print(f' yolo_mode: {runner.yolo_mode}')\nexcept Exception as e:\n print(f'Instantiation error: {e}')\n\n# Check if it has the main run method\nif hasattr(ParallelAgentRunner, 'run_parallel'):\n sig = inspect.signature(ParallelAgentRunner.run_parallel)\n print(f'\\nrun_parallel signature: {sig}')\nelif hasattr(ParallelAgentRunner, 'run'):\n sig = inspect.signature(ParallelAgentRunner.run)\n print(f'\\nrun signature: {sig}')\n\"","description":"Test ParallelAgentRunner class in Autocoder-2.0"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":6239,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":6239,"ephemeral_1h_input_tokens":0},"output_tokens":607,"service_tier":"standard"}},"requestId":"req_011CX1jSGvQhf1aiahmqVvXu","type":"assistant","uuid":"116170b6-897b-460c-8416-4b2190b4972c","timestamp":"2026-01-11T14:16:20.621Z"}
{"parentUuid":"116170b6-897b-460c-8416-4b2190b4972c","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 127\n/usr/bin/bash: line 45: call: command not found","is_error":true,"tool_use_id":"toolu_01WzsGM2ma2jiTS7UcibKQ5r"}]},"uuid":"ab3fdadb-c3fa-418e-98df-302fd193c6b4","timestamp":"2026-01-11T14:16:48.834Z","toolUseResult":"Error: Exit code 127\n/usr/bin/bash: line 45: call: command not found","sourceToolAssistantUUID":"116170b6-897b-460c-8416-4b2190b4972c"}
{"parentUuid":"ab3fdadb-c3fa-418e-98df-302fd193c6b4","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_017p83rGZauZ7a1ucx8pdrzo","type":"message","role":"assistant","content":[{"type":"text","text":"The `call` command is a Windows batch file command. Let me use the correct approach for activating the venv on Windows."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":651,"cache_read_input_tokens":6239,"cache_creation":{"ephemeral_5m_input_tokens":651,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX1jVRL1Zcc9yw4XSrssf","type":"assistant","uuid":"f6de9abc-3189-4397-9319-5422982784cf","timestamp":"2026-01-11T14:17:01.611Z"}
{"parentUuid":"f6de9abc-3189-4397-9319-5422982784cf","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_017p83rGZauZ7a1ucx8pdrzo","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ARwhfzcRpCHG1TAzaKaVYG","name":"Bash","input":{"command":"cd \"C:/Users/MikeSwanson/claude-projects/Autocode-remix/Autocoder-2.0\" && \"venv/Scripts/python.exe\" -c \"\nimport sys\nsys.path.insert(0, '.')\nfrom pathlib import Path\nfrom parallel_agent import ParallelAgentRunner, AgentResult, ParallelRunResult\n\nprint('=== ParallelAgentRunner Test ===')\n\n# Check class exists and has expected methods\nprint(f'ParallelAgentRunner defined: {ParallelAgentRunner is not None}')\n\n# Check the signature\nimport inspect\nsig = inspect.signature(ParallelAgentRunner.__init__)\nprint(f'Constructor params: {list(sig.parameters.keys())}')\n\n# Check key methods exist\nmethods = [m for m in dir(ParallelAgentRunner) if not m.startswith('_')]\nprint(f'Available methods: {methods}')\n\n# Try to instantiate (this won't run agents, just tests setup)\ntry:\n test_dir = Path('.')\n runner = ParallelAgentRunner(\n project_dir=test_dir,\n model='claude-sonnet-4-20250514',\n max_parallel=2,\n yolo_mode=True\n )\n print(f'Runner instantiated successfully')\n print(f' project_dir: {runner.project_dir}')\n print(f' model: {runner.model}')\n print(f' max_parallel: {runner.max_parallel}')\n print(f' yolo_mode: {runner.yolo_mode}')\nexcept Exception as e:\n print(f'Instantiation error: {e}')\n\n# Check if it has the main run method\nif hasattr(ParallelAgentRunner, 'run_parallel'):\n sig = inspect.signature(ParallelAgentRunner.run_parallel)\n print(f'\\nrun_parallel signature: {sig}')\nelif hasattr(ParallelAgentRunner, 'run'):\n sig = inspect.signature(ParallelAgentRunner.run)\n print(f'\\nrun signature: {sig}')\n\"","description":"Test ParallelAgentRunner class using venv python directly"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":651,"cache_read_input_tokens":6239,"cache_creation":{"ephemeral_5m_input_tokens":651,"ephemeral_1h_input_tokens":0},"output_tokens":633,"service_tier":"standard"}},"requestId":"req_011CX1jVRL1Zcc9yw4XSrssf","type":"assistant","uuid":"0c097871-8077-4743-8c74-eb03847812aa","timestamp":"2026-01-11T14:17:03.954Z"}
{"parentUuid":"0c097871-8077-4743-8c74-eb03847812aa","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"Exit code 1\nTraceback (most recent call last):\r\n File \"<string>\", line 5, in <module>\r\n from parallel_agent import ParallelAgentRunner, AgentResult, ParallelRunResult\r\n File \"C:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\parallel_agent.py\", line 27, in <module>\r\n from progress import has_features, print_progress_summary, get_feature_stats\r\nImportError: cannot import name 'get_feature_stats' from 'progress' (C:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\progress.py)","is_error":true,"tool_use_id":"toolu_01ARwhfzcRpCHG1TAzaKaVYG"}]},"uuid":"a732f3d1-2a60-4d07-b422-f7eb785d85e8","timestamp":"2026-01-11T14:17:19.461Z","toolUseResult":"Error: Exit code 1\nTraceback (most recent call last):\r\n File \"<string>\", line 5, in <module>\r\n from parallel_agent import ParallelAgentRunner, AgentResult, ParallelRunResult\r\n File \"C:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\parallel_agent.py\", line 27, in <module>\r\n from progress import has_features, print_progress_summary, get_feature_stats\r\nImportError: cannot import name 'get_feature_stats' from 'progress' (C:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\progress.py)","sourceToolAssistantUUID":"0c097871-8077-4743-8c74-eb03847812aa"}
{"parentUuid":"a732f3d1-2a60-4d07-b422-f7eb785d85e8","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_01SR23ims6i7YKR5Rynsq6k2","type":"message","role":"assistant","content":[{"type":"text","text":"There is an import error. Let me check what is available in the progress module and what the parallel_agent module expects."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":825,"cache_read_input_tokens":6890,"cache_creation":{"ephemeral_5m_input_tokens":825,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX1jXVpgVDpP6ZuUcyRvj","type":"assistant","uuid":"f53cca6e-e711-41c6-b5c1-bbb4c820fbd2","timestamp":"2026-01-11T14:17:28.051Z"}
{"parentUuid":"f53cca6e-e711-41c6-b5c1-bbb4c820fbd2","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_01SR23ims6i7YKR5Rynsq6k2","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XFsyNP9xUoC75g7gou58XN","name":"Bash","input":{"command":"cd \"C:/Users/MikeSwanson/claude-projects/Autocode-remix/Autocoder-2.0\" && \"venv/Scripts/python.exe\" -c \"\nimport sys\nsys.path.insert(0, '.')\nfrom progress import *\nimport progress\nprint('progress module exports:', [x for x in dir(progress) if not x.startswith('_')])\n\"","description":"Check progress module exports"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":825,"cache_read_input_tokens":6890,"cache_creation":{"ephemeral_5m_input_tokens":825,"ephemeral_1h_input_tokens":0},"output_tokens":192,"service_tier":"standard"}},"requestId":"req_011CX1jXVpgVDpP6ZuUcyRvj","type":"assistant","uuid":"28552f94-3707-4343-a7e6-046044cb65dc","timestamp":"2026-01-11T14:17:30.100Z"}
{"parentUuid":"28552f94-3707-4343-a7e6-046044cb65dc","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XFsyNP9xUoC75g7gou58XN","type":"tool_result","content":"progress module exports: ['PROGRESS_CACHE_FILE', 'Path', 'WEBHOOK_URL', 'count_passing_tests', 'datetime', 'get_all_passing_features', 'has_features', 'json', 'os', 'print_progress_summary', 'print_session_header', 'send_progress_webhook', 'sqlite3', 'urllib']","is_error":false}]},"uuid":"75ac60b3-4324-42af-b846-b1861df036aa","timestamp":"2026-01-11T14:17:39.328Z","toolUseResult":{"stdout":"progress module exports: ['PROGRESS_CACHE_FILE', 'Path', 'WEBHOOK_URL', 'count_passing_tests', 'datetime', 'get_all_passing_features', 'has_features', 'json', 'os', 'print_progress_summary', 'print_session_header', 'send_progress_webhook', 'sqlite3', 'urllib']\r","stderr":"","interrupted":false,"isImage":false},"sourceToolAssistantUUID":"28552f94-3707-4343-a7e6-046044cb65dc"}
{"parentUuid":"75ac60b3-4324-42af-b846-b1861df036aa","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_018KNfZoA4rdPso4GjB1u9zM","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01XG4tpKsUnzD3JjhP52tYee","name":"Bash","input":{"command":"cd \"C:/Users/MikeSwanson/claude-projects/Autocode-remix/Autocoder-2.0\" && \"venv/Scripts/python.exe\" -c \"\nimport sys\nsys.path.insert(0, '.')\n\n# Check what parallel_agent expects from progress\nwith open('parallel_agent.py', 'r') as f:\n content = f.read()\n \n# Find the import line\nfor line in content.split('\\n'):\n if 'from progress import' in line:\n print('parallel_agent imports:', line)\n\"","description":"Check what parallel_agent expects to import from progress"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":297,"cache_read_input_tokens":7715,"cache_creation":{"ephemeral_5m_input_tokens":297,"ephemeral_1h_input_tokens":0},"output_tokens":214,"service_tier":"standard"}},"requestId":"req_011CX1jYgAZoqpzdSV4ofdYT","type":"assistant","uuid":"3912fb25-daf6-4555-9edd-f392c24b3891","timestamp":"2026-01-11T14:17:44.624Z"}
{"parentUuid":"3912fb25-daf6-4555-9edd-f392c24b3891","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01XG4tpKsUnzD3JjhP52tYee","type":"tool_result","content":"parallel_agent imports: from progress import has_features, print_progress_summary, get_feature_stats","is_error":false}]},"uuid":"8061815f-09cb-4ecd-9b5f-7973963e0c69","timestamp":"2026-01-11T14:17:52.990Z","toolUseResult":{"stdout":"parallel_agent imports: from progress import has_features, print_progress_summary, get_feature_stats\r","stderr":"","interrupted":false,"isImage":false},"sourceToolAssistantUUID":"3912fb25-daf6-4555-9edd-f392c24b3891"}
{"parentUuid":"8061815f-09cb-4ecd-9b5f-7973963e0c69","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_01ES6qPoGGBivKahHPtmrCSf","type":"message","role":"assistant","content":[{"type":"text","text":"The `parallel_agent.py` is trying to import `get_feature_stats` from `progress.py`, but that function does not exist. Let me check if `get_feature_stats` is defined elsewhere or if we need to create it."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":249,"cache_read_input_tokens":8012,"cache_creation":{"ephemeral_5m_input_tokens":249,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX1jZtM52U6L4Uoz5vsyU","type":"assistant","uuid":"e84ec2fa-4bde-4706-a0cd-8f641ced9d51","timestamp":"2026-01-11T14:18:01.107Z"}
{"parentUuid":"e84ec2fa-4bde-4706-a0cd-8f641ced9d51","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_01ES6qPoGGBivKahHPtmrCSf","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Vu5TgokJoVd84sxeE38kwh","name":"Bash","input":{"command":"cd \"C:/Users/MikeSwanson/claude-projects/Autocode-remix/Autocoder-2.0\" && \"venv/Scripts/python.exe\" -c \"\nimport sys\nsys.path.insert(0, '.')\n\n# Search for get_feature_stats in all Python files\nimport os\nfor root, dirs, files in os.walk('.'):\n # Skip venv\n if 'venv' in root:\n continue\n for f in files:\n if f.endswith('.py'):\n path = os.path.join(root, f)\n with open(path, 'r', encoding='utf-8', errors='ignore') as file:\n content = file.read()\n if 'get_feature_stats' in content:\n print(f'Found in: {path}')\n # Find the relevant lines\n for i, line in enumerate(content.split('\\n')):\n if 'get_feature_stats' in line:\n print(f' Line {i+1}: {line.strip()[:100]}')\n\"","description":"Search for get_feature_stats function definition"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":249,"cache_read_input_tokens":8012,"cache_creation":{"ephemeral_5m_input_tokens":249,"ephemeral_1h_input_tokens":0},"output_tokens":395,"service_tier":"standard"}},"requestId":"req_011CX1jZtM52U6L4Uoz5vsyU","type":"assistant","uuid":"ba2fbfca-c7e1-4016-b5e9-6d17dc74f052","timestamp":"2026-01-11T14:18:03.418Z"}
{"parentUuid":"ba2fbfca-c7e1-4016-b5e9-6d17dc74f052","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Vu5TgokJoVd84sxeE38kwh","type":"tool_result","content":"Found in: .\\parallel_agent.py\r\n Line 27: from progress import has_features, print_progress_summary, get_feature_stats\r\n Line 344: stats = get_feature_stats(self.project_dir)\r\nFound in: .\\smart_orchestrator.py\r\n Line 21: from progress import get_feature_stats\r\n Line 159: stats = get_feature_stats(self.project_dir) or {}\r\n Line 353: stats = get_feature_stats(self.project_dir)","is_error":false}]},"uuid":"9b467040-517d-4408-9f66-7aa5fc3f168a","timestamp":"2026-01-11T14:18:13.214Z","toolUseResult":{"stdout":"Found in: .\\parallel_agent.py\r\n Line 27: from progress import has_features, print_progress_summary, get_feature_stats\r\n Line 344: stats = get_feature_stats(self.project_dir)\r\nFound in: .\\smart_orchestrator.py\r\n Line 21: from progress import get_feature_stats\r\n Line 159: stats = get_feature_stats(self.project_dir) or {}\r\n Line 353: stats = get_feature_stats(self.project_dir)\r","stderr":"","interrupted":false,"isImage":false},"sourceToolAssistantUUID":"ba2fbfca-c7e1-4016-b5e9-6d17dc74f052"}
{"parentUuid":"9b467040-517d-4408-9f66-7aa5fc3f168a","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_01YYUZ1R4TMsCn21hD63cnpq","type":"message","role":"assistant","content":[{"type":"text","text":"The function `get_feature_stats` is referenced in `parallel_agent.py` and `smart_orchestrator.py` but is missing from `progress.py`. This is a bug. Let me check what the function is expected to return based on its usage."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":528,"cache_read_input_tokens":8261,"cache_creation":{"ephemeral_5m_input_tokens":528,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CX1jb7kFoEAQqH2xgzUPf","type":"assistant","uuid":"03e0f252-da78-4b0a-bec5-41cabbe16b75","timestamp":"2026-01-11T14:18:17.485Z"}
{"parentUuid":"03e0f252-da78-4b0a-bec5-41cabbe16b75","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_01YYUZ1R4TMsCn21hD63cnpq","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NydSYsTNtA7T3Mr27dFwSh","name":"Bash","input":{"command":"cd \"C:/Users/MikeSwanson/claude-projects/Autocode-remix/Autocoder-2.0\" && \"venv/Scripts/python.exe\" -c \"\nimport sys\nsys.path.insert(0, '.')\n\n# Get more context around get_feature_stats usage\nwith open('parallel_agent.py', 'r') as f:\n lines = f.readlines()\n for i, line in enumerate(lines):\n if 'get_feature_stats' in line:\n # Print surrounding context\n start = max(0, i-3)\n end = min(len(lines), i+5)\n print(f'=== parallel_agent.py context around line {i+1} ===')\n for j in range(start, end):\n marker = '>>>' if j == i else ' '\n print(f'{marker} {j+1}: {lines[j].rstrip()}')\n print()\n\nwith open('smart_orchestrator.py', 'r') as f:\n lines = f.readlines()\n for i, line in enumerate(lines):\n if 'get_feature_stats' in line:\n start = max(0, i-3)\n end = min(len(lines), i+5)\n print(f'=== smart_orchestrator.py context around line {i+1} ===')\n for j in range(start, end):\n marker = '>>>' if j == i else ' '\n print(f'{marker} {j+1}: {lines[j].rstrip()}')\n print()\n\"","description":"Check how get_feature_stats is used to understand expected return value"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":528,"cache_read_input_tokens":8261,"cache_creation":{"ephemeral_5m_input_tokens":528,"ephemeral_1h_input_tokens":0},"output_tokens":526,"service_tier":"standard"}},"requestId":"req_011CX1jb7kFoEAQqH2xgzUPf","type":"assistant","uuid":"8d7ad540-a8b3-456b-b4ff-6ea0f28c5354","timestamp":"2026-01-11T14:18:21.235Z"}
{"parentUuid":"8d7ad540-a8b3-456b-b4ff-6ea0f28c5354","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01NydSYsTNtA7T3Mr27dFwSh","type":"tool_result","content":"=== parallel_agent.py context around line 27 ===\r\n 24: from claude_agent_sdk import ClaudeSDKClient\r\n 25: \r\n 26: from client import create_client\r\n>>> 27: from progress import has_features, print_progress_summary, get_feature_stats\r\n 28: from prompts import get_coding_prompt, get_coding_prompt_yolo, copy_spec_to_project, get_initializer_prompt\r\n 29: \r\n 30: # Import server services\r\n 31: import sys as _sys\r\n\r\n=== parallel_agent.py context around line 344 ===\r\n 341: \r\n 342: if not features:\r\n 343: # Check if all done\r\n>>> 344: stats = get_feature_stats(self.project_dir)\r\n 345: if stats and stats.get(\"pending\", 0) == 0 and stats.get(\"in_progress\", 0) == 0:\r\n 346: print(\"\\n All features completed!\")\r\n 347: break\r\n 348: else:\r\n\r\n=== smart_orchestrator.py context around line 21 ===\r\n 18: from parallel_agent import ParallelAgentRunner, AgentResult\r\n 19: from server.services.feature_graph import FeatureGraph, ParallelFeature\r\n 20: from server.services.smart_scheduler import SmartScheduler\r\n>>> 21: from progress import get_feature_stats\r\n 22: \r\n 23: logger = logging.getLogger(__name__)\r\n 24: \r\n 25: \r\n\r\n=== smart_orchestrator.py context around line 159 ===\r\n 156: )\r\n 157: \r\n 158: # Get current stats\r\n>>> 159: stats = get_feature_stats(self.project_dir) or {}\r\n 160: in_progress = stats.get(\"in_progress\", 0)\r\n 161: \r\n 162: # First, try the fast heuristic-based scheduler\r\n 163: features_data = [\r\n\r\n=== smart_orchestrator.py context around line 353 ===\r\n 350: )\r\n 351: \r\n 352: if not features:\r\n>>> 353: stats = get_feature_stats(self.project_dir)\r\n 354: if stats and stats.get(\"pending\", 0) == 0:\r\n 355: print(\"\\n All features completed!\")\r\n 356: break\r\n 357: print(\"\\nNo parallelizable features, waiting...\")","is_error":false}]},"uuid":"ceea6df1-6637-4433-aebe-aa9524aebd9d","timestamp":"2026-01-11T14:18:30.856Z","toolUseResult":{"stdout":"=== parallel_agent.py context around line 27 ===\r\n 24: from claude_agent_sdk import ClaudeSDKClient\r\n 25: \r\n 26: from client import create_client\r\n>>> 27: from progress import has_features, print_progress_summary, get_feature_stats\r\n 28: from prompts import get_coding_prompt, get_coding_prompt_yolo, copy_spec_to_project, get_initializer_prompt\r\n 29: \r\n 30: # Import server services\r\n 31: import sys as _sys\r\n\r\n=== parallel_agent.py context around line 344 ===\r\n 341: \r\n 342: if not features:\r\n 343: # Check if all done\r\n>>> 344: stats = get_feature_stats(self.project_dir)\r\n 345: if stats and stats.get(\"pending\", 0) == 0 and stats.get(\"in_progress\", 0) == 0:\r\n 346: print(\"\\n All features completed!\")\r\n 347: break\r\n 348: else:\r\n\r\n=== smart_orchestrator.py context around line 21 ===\r\n 18: from parallel_agent import ParallelAgentRunner, AgentResult\r\n 19: from server.services.feature_graph import FeatureGraph, ParallelFeature\r\n 20: from server.services.smart_scheduler import SmartScheduler\r\n>>> 21: from progress import get_feature_stats\r\n 22: \r\n 23: logger = logging.getLogger(__name__)\r\n 24: \r\n 25: \r\n\r\n=== smart_orchestrator.py context around line 159 ===\r\n 156: )\r\n 157: \r\n 158: # Get current stats\r\n>>> 159: stats = get_feature_stats(self.project_dir) or {}\r\n 160: in_progress = stats.get(\"in_progress\", 0)\r\n 161: \r\n 162: # First, try the fast heuristic-based scheduler\r\n 163: features_data = [\r\n\r\n=== smart_orchestrator.py context around line 353 ===\r\n 350: )\r\n 351: \r\n 352: if not features:\r\n>>> 353: stats = get_feature_stats(self.project_dir)\r\n 354: if stats and stats.get(\"pending\", 0) == 0:\r\n 355: print(\"\\n All features completed!\")\r\n 356: break\r\n 357: print(\"\\nNo parallelizable features, waiting...\")\r","stderr":"","interrupted":false,"isImage":false},"sourceToolAssistantUUID":"8d7ad540-a8b3-456b-b4ff-6ea0f28c5354"}
{"parentUuid":"ceea6df1-6637-4433-aebe-aa9524aebd9d","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_01KLz1ctsqfsSZ833P18R9Ho","type":"message","role":"assistant","content":[{"type":"text","text":"Now I understand the expected structure. The `get_feature_stats` function should return a dict with at least `pending` and `in_progress` keys. Let me check the `progress.py` file to see if there is a similar function or if we can determine what it should do."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1140,"cache_read_input_tokens":8789,"cache_creation":{"ephemeral_5m_input_tokens":1140,"ephemeral_1h_input_tokens":0},"output_tokens":228,"service_tier":"standard"}},"requestId":"req_011CX1jcRUdm6bGspN2T4n7o","type":"assistant","uuid":"d2268ec3-814b-43f3-9c51-ae6cc969e45d","timestamp":"2026-01-11T14:18:36.492Z"}
{"parentUuid":"d2268ec3-814b-43f3-9c51-ae6cc969e45d","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_01KLz1ctsqfsSZ833P18R9Ho","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01BXPrsqY1fJikvktZyFSC2H","name":"Bash","input":{"command":"cd \"C:/Users/MikeSwanson/claude-projects/Autocode-remix/Autocoder-2.0\" && \"venv/Scripts/python.exe\" -c \"\nimport sys\nsys.path.insert(0, '.')\n\nwith open('progress.py', 'r') as f:\n content = f.read()\n print(content)\n\"","description":"Read progress.py to understand current implementation"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1140,"cache_read_input_tokens":8789,"cache_creation":{"ephemeral_5m_input_tokens":1140,"ephemeral_1h_input_tokens":0},"output_tokens":228,"service_tier":"standard"}},"requestId":"req_011CX1jcRUdm6bGspN2T4n7o","type":"assistant","uuid":"38e9f464-0ee0-4dfc-bef1-a9b59dfbe577","timestamp":"2026-01-11T14:18:37.578Z"}
{"parentUuid":"38e9f464-0ee0-4dfc-bef1-a9b59dfbe577","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01BXPrsqY1fJikvktZyFSC2H","type":"tool_result","content":"\"\"\"\r\nProgress Tracking Utilities\r\n===========================\r\n\r\nFunctions for tracking and displaying progress of the autonomous coding agent.\r\nUses direct SQLite access for database queries.\r\n\"\"\"\r\n\r\nimport json\r\nimport os\r\nimport sqlite3\r\nimport urllib.request\r\nfrom datetime import datetime\r\nfrom pathlib import Path\r\n\r\nWEBHOOK_URL = os.environ.get(\"PROGRESS_N8N_WEBHOOK_URL\")\r\nPROGRESS_CACHE_FILE = \".progress_cache\"\r\n\r\n\r\ndef has_features(project_dir: Path) -> bool:\r\n \"\"\"\r\n Check if the project has features in the database.\r\n\r\n This is used to determine if the initializer agent needs to run.\r\n We check the database directly (not via API) since the API server\r\n may not be running yet when this check is performed.\r\n\r\n Returns True if:\r\n - features.db exists AND has at least 1 feature, OR\r\n - feature_list.json exists (legacy format)\r\n\r\n Returns False if no features exist (initializer needs to run).\r\n \"\"\"\r\n import sqlite3\r\n\r\n # Check legacy JSON file first\r\n json_file = project_dir / \"feature_list.json\"\r\n if json_file.exists():\r\n return True\r\n\r\n # Check SQLite database\r\n db_file = project_dir / \"features.db\"\r\n if not db_file.exists():\r\n return False\r\n\r\n try:\r\n conn = sqlite3.connect(db_file)\r\n cursor = conn.cursor()\r\n cursor.execute(\"SELECT COUNT(*) FROM features\")\r\n count = cursor.fetchone()[0]\r\n conn.close()\r\n return count > 0\r\n except Exception:\r\n # Database exists but can't be read or has no features table\r\n return False\r\n\r\n\r\ndef count_passing_tests(project_dir: Path) -> tuple[int, int, int]:\r\n \"\"\"\r\n Count passing, in_progress, and total tests via direct database access.\r\n\r\n Args:\r\n project_dir: Directory containing the project\r\n\r\n Returns:\r\n (passing_count, in_progress_count, total_count)\r\n \"\"\"\r\n db_file = project_dir / \"features.db\"\r\n if not db_file.exists():\r\n return 0, 0, 0\r\n\r\n try:\r\n conn = sqlite3.connect(db_file)\r\n cursor = conn.cursor()\r\n cursor.execute(\"SELECT COUNT(*) FROM features\")\r\n total = cursor.fetchone()[0]\r\n cursor.execute(\"SELECT COUNT(*) FROM features WHERE passes = 1\")\r\n passing = cursor.fetchone()[0]\r\n # Handle case where in_progress column doesn't exist yet\r\n try:\r\n cursor.execute(\"SELECT COUNT(*) FROM features WHERE in_progress = 1\")\r\n in_progress = cursor.fetchone()[0]\r\n except sqlite3.OperationalError:\r\n in_progress = 0\r\n conn.close()\r\n return passing, in_progress, total\r\n except Exception as e:\r\n print(f\"[Database error in count_passing_tests: {e}]\")\r\n return 0, 0, 0\r\n\r\n\r\ndef get_all_passing_features(project_dir: Path) -> list[dict]:\r\n \"\"\"\r\n Get all passing features for webhook notifications.\r\n\r\n Args:\r\n project_dir: Directory containing the project\r\n\r\n Returns:\r\n List of dicts with id, category, name for each passing feature\r\n \"\"\"\r\n db_file = project_dir / \"features.db\"\r\n if not db_file.exists():\r\n return []\r\n\r\n try:\r\n conn = sqlite3.connect(db_file)\r\n cursor = conn.cursor()\r\n cursor.execute(\r\n \"SELECT id, category, name FROM features WHERE passes = 1 ORDER BY priority ASC\"\r\n )\r\n features = [\r\n {\"id\": row[0], \"category\": row[1], \"name\": row[2]}\r\n for row in cursor.fetchall()\r\n ]\r\n conn.close()\r\n return features\r\n except Exception:\r\n return []\r\n\r\n\r\ndef send_progress_webhook(passing: int, total: int, project_dir: Path) -> None:\r\n \"\"\"Send webhook notification when progress increases.\"\"\"\r\n if not WEBHOOK_URL:\r\n return # Webhook not configured\r\n\r\n cache_file = project_dir / PROGRESS_CACHE_FILE\r\n previous = 0\r\n previous_passing_ids = set()\r\n\r\n # Read previous progress and passing feature IDs\r\n if cache_file.exists():\r\n try:\r\n cache_data = json.loads(cache_file.read_text())\r\n previous = cache_data.get(\"count\", 0)\r\n previous_passing_ids = set(cache_data.get(\"passing_ids\", []))\r\n except Exception:\r\n previous = 0\r\n\r\n # Only notify if progress increased\r\n if passing > previous:\r\n # Find which features are now passing via API\r\n completed_tests = []\r\n current_passing_ids = []\r\n\r\n # Detect transition from old cache format (had count but no passing_ids)\r\n # In this case, we can't reliably identify which specific tests are new\r\n is_old_cache_format = len(previous_passing_ids) == 0 and previous > 0\r\n\r\n # Get all passing features via direct database access\r\n all_passing = get_all_passing_features(project_dir)\r\n for feature in all_passing:\r\n feature_id = feature.get(\"id\")\r\n current_passing_ids.append(feature_id)\r\n # Only identify individual new tests if we have previous IDs to compare\r\n if not is_old_cache_format and feature_id not in previous_passing_ids:\r\n # This feature is newly passing\r\n name = feature.get(\"name\", f\"Feature #{feature_id}\")\r\n category = feature.get(\"category\", \"\")\r\n if category:\r\n completed_tests.append(f\"{category} {name}\")\r\n else:\r\n completed_tests.append(name)\r\n\r\n payload = {\r\n \"event\": \"test_progress\",\r\n \"passing\": passing,\r\n \"total\": total,\r\n \"percentage\": round((passing / total) * 100, 1) if total > 0 else 0,\r\n \"previous_passing\": previous,\r\n \"tests_completed_this_session\": passing - previous,\r\n \"completed_tests\": completed_tests,\r\n \"project\": project_dir.name,\r\n \"timestamp\": datetime.utcnow().isoformat() + \"Z\",\r\n }\r\n\r\n try:\r\n req = urllib.request.Request(\r\n WEBHOOK_URL,\r\n data=json.dumps([payload]).encode(\"utf-8\"), # n8n expects array\r\n headers={\"Content-Type\": \"application/json\"},\r\n )\r\n urllib.request.urlopen(req, timeout=5)\r\n except Exception as e:\r\n print(f\"[Webhook notification failed: {e}]\")\r\n\r\n # Update cache with count and passing IDs\r\n cache_file.write_text(\r\n json.dumps({\"count\": passing, \"passing_ids\": current_passing_ids})\r\n )\r\n else:\r\n # Update cache even if no change (for initial state)\r\n if not cache_file.exists():\r\n all_passing = get_all_passing_features(project_dir)\r\n current_passing_ids = [f.get(\"id\") for f in all_passing]\r\n cache_file.write_text(\r\n json.dumps({\"count\": passing, \"passing_ids\": current_passing_ids})\r\n )\r\n\r\n\r\ndef print_session_header(session_num: int, is_initializer: bool) -> None:\r\n \"\"\"Print a formatted header for the session.\"\"\"\r\n session_type = \"INITIALIZER\" if is_initializer else \"CODING AGENT\"\r\n\r\n print(\"\\n\" + \"=\" * 70)\r\n print(f\" SESSION {session_num}: {session_type}\")\r\n print(\"=\" * 70)\r\n print()\r\n\r\n\r\ndef print_progress_summary(project_dir: Path) -> None:\r\n \"\"\"Print a summary of current progress.\"\"\"\r\n passing, in_progress, total = count_passing_tests(project_dir)\r\n\r\n if total > 0:\r\n percentage = (passing / total) * 100\r\n status_parts = [f\"{passing}/{total} tests passing ({percentage:.1f}%)\"]\r\n if in_progress > 0:\r\n status_parts.append(f\"{in_progress} in progress\")\r\n print(f\"\\nProgress: {', '.join(status_parts)}\")\r\n send_progress_webhook(passing, total, project_dir)\r\n else:\r\n print(\"\\nProgress: No features in database yet\")","is_error":false}]},"uuid":"7aa8c479-9d1e-4b24-8e67-98ccb095a92b","timestamp":"2026-01-11T14:18:45.309Z","toolUseResult":{"stdout":"\"\"\"\r\nProgress Tracking Utilities\r\n===========================\r\n\r\nFunctions for tracking and displaying progress of the autonomous coding agent.\r\nUses direct SQLite access for database queries.\r\n\"\"\"\r\n\r\nimport json\r\nimport os\r\nimport sqlite3\r\nimport urllib.request\r\nfrom datetime import datetime\r\nfrom pathlib import Path\r\n\r\nWEBHOOK_URL = os.environ.get(\"PROGRESS_N8N_WEBHOOK_URL\")\r\nPROGRESS_CACHE_FILE = \".progress_cache\"\r\n\r\n\r\ndef has_features(project_dir: Path) -> bool:\r\n \"\"\"\r\n Check if the project has features in the database.\r\n\r\n This is used to determine if the initializer agent needs to run.\r\n We check the database directly (not via API) since the API server\r\n may not be running yet when this check is performed.\r\n\r\n Returns True if:\r\n - features.db exists AND has at least 1 feature, OR\r\n - feature_list.json exists (legacy format)\r\n\r\n Returns False if no features exist (initializer needs to run).\r\n \"\"\"\r\n import sqlite3\r\n\r\n # Check legacy JSON file first\r\n json_file = project_dir / \"feature_list.json\"\r\n if json_file.exists():\r\n return True\r\n\r\n # Check SQLite database\r\n db_file = project_dir / \"features.db\"\r\n if not db_file.exists():\r\n return False\r\n\r\n try:\r\n conn = sqlite3.connect(db_file)\r\n cursor = conn.cursor()\r\n cursor.execute(\"SELECT COUNT(*) FROM features\")\r\n count = cursor.fetchone()[0]\r\n conn.close()\r\n return count > 0\r\n except Exception:\r\n # Database exists but can't be read or has no features table\r\n return False\r\n\r\n\r\ndef count_passing_tests(project_dir: Path) -> tuple[int, int, int]:\r\n \"\"\"\r\n Count passing, in_progress, and total tests via direct database access.\r\n\r\n Args:\r\n project_dir: Directory containing the project\r\n\r\n Returns:\r\n (passing_count, in_progress_count, total_count)\r\n \"\"\"\r\n db_file = project_dir / \"features.db\"\r\n if not db_file.exists():\r\n return 0, 0, 0\r\n\r\n try:\r\n conn = sqlite3.connect(db_file)\r\n cursor = conn.cursor()\r\n cursor.execute(\"SELECT COUNT(*) FROM features\")\r\n total = cursor.fetchone()[0]\r\n cursor.execute(\"SELECT COUNT(*) FROM features WHERE passes = 1\")\r\n passing = cursor.fetchone()[0]\r\n # Handle case where in_progress column doesn't exist yet\r\n try:\r\n cursor.execute(\"SELECT COUNT(*) FROM features WHERE in_progress = 1\")\r\n in_progress = cursor.fetchone()[0]\r\n except sqlite3.OperationalError:\r\n in_progress = 0\r\n conn.close()\r\n return passing, in_progress, total\r\n except Exception as e:\r\n print(f\"[Database error in count_passing_tests: {e}]\")\r\n return 0, 0, 0\r\n\r\n\r\ndef get_all_passing_features(project_dir: Path) -> list[dict]:\r\n \"\"\"\r\n Get all passing features for webhook notifications.\r\n\r\n Args:\r\n project_dir: Directory containing the project\r\n\r\n Returns:\r\n List of dicts with id, category, name for each passing feature\r\n \"\"\"\r\n db_file = project_dir / \"features.db\"\r\n if not db_file.exists():\r\n return []\r\n\r\n try:\r\n conn = sqlite3.connect(db_file)\r\n cursor = conn.cursor()\r\n cursor.execute(\r\n \"SELECT id, category, name FROM features WHERE passes = 1 ORDER BY priority ASC\"\r\n )\r\n features = [\r\n {\"id\": row[0], \"category\": row[1], \"name\": row[2]}\r\n for row in cursor.fetchall()\r\n ]\r\n conn.close()\r\n return features\r\n except Exception:\r\n return []\r\n\r\n\r\ndef send_progress_webhook(passing: int, total: int, project_dir: Path) -> None:\r\n \"\"\"Send webhook notification when progress increases.\"\"\"\r\n if not WEBHOOK_URL:\r\n return # Webhook not configured\r\n\r\n cache_file = project_dir / PROGRESS_CACHE_FILE\r\n previous = 0\r\n previous_passing_ids = set()\r\n\r\n # Read previous progress and passing feature IDs\r\n if cache_file.exists():\r\n try:\r\n cache_data = json.loads(cache_file.read_text())\r\n previous = cache_data.get(\"count\", 0)\r\n previous_passing_ids = set(cache_data.get(\"passing_ids\", []))\r\n except Exception:\r\n previous = 0\r\n\r\n # Only notify if progress increased\r\n if passing > previous:\r\n # Find which features are now passing via API\r\n completed_tests = []\r\n current_passing_ids = []\r\n\r\n # Detect transition from old cache format (had count but no passing_ids)\r\n # In this case, we can't reliably identify which specific tests are new\r\n is_old_cache_format = len(previous_passing_ids) == 0 and previous > 0\r\n\r\n # Get all passing features via direct database access\r\n all_passing = get_all_passing_features(project_dir)\r\n for feature in all_passing:\r\n feature_id = feature.get(\"id\")\r\n current_passing_ids.append(feature_id)\r\n # Only identify individual new tests if we have previous IDs to compare\r\n if not is_old_cache_format and feature_id not in previous_passing_ids:\r\n # This feature is newly passing\r\n name = feature.get(\"name\", f\"Feature #{feature_id}\")\r\n category = feature.get(\"category\", \"\")\r\n if category:\r\n completed_tests.append(f\"{category} {name}\")\r\n else:\r\n completed_tests.append(name)\r\n\r\n payload = {\r\n \"event\": \"test_progress\",\r\n \"passing\": passing,\r\n \"total\": total,\r\n \"percentage\": round((passing / total) * 100, 1) if total > 0 else 0,\r\n \"previous_passing\": previous,\r\n \"tests_completed_this_session\": passing - previous,\r\n \"completed_tests\": completed_tests,\r\n \"project\": project_dir.name,\r\n \"timestamp\": datetime.utcnow().isoformat() + \"Z\",\r\n }\r\n\r\n try:\r\n req = urllib.request.Request(\r\n WEBHOOK_URL,\r\n data=json.dumps([payload]).encode(\"utf-8\"), # n8n expects array\r\n headers={\"Content-Type\": \"application/json\"},\r\n )\r\n urllib.request.urlopen(req, timeout=5)\r\n except Exception as e:\r\n print(f\"[Webhook notification failed: {e}]\")\r\n\r\n # Update cache with count and passing IDs\r\n cache_file.write_text(\r\n json.dumps({\"count\": passing, \"passing_ids\": current_passing_ids})\r\n )\r\n else:\r\n # Update cache even if no change (for initial state)\r\n if not cache_file.exists():\r\n all_passing = get_all_passing_features(project_dir)\r\n current_passing_ids = [f.get(\"id\") for f in all_passing]\r\n cache_file.write_text(\r\n json.dumps({\"count\": passing, \"passing_ids\": current_passing_ids})\r\n )\r\n\r\n\r\ndef print_session_header(session_num: int, is_initializer: bool) -> None:\r\n \"\"\"Print a formatted header for the session.\"\"\"\r\n session_type = \"INITIALIZER\" if is_initializer else \"CODING AGENT\"\r\n\r\n print(\"\\n\" + \"=\" * 70)\r\n print(f\" SESSION {session_num}: {session_type}\")\r\n print(\"=\" * 70)\r\n print()\r\n\r\n\r\ndef print_progress_summary(project_dir: Path) -> None:\r\n \"\"\"Print a summary of current progress.\"\"\"\r\n passing, in_progress, total = count_passing_tests(project_dir)\r\n\r\n if total > 0:\r\n percentage = (passing / total) * 100\r\n status_parts = [f\"{passing}/{total} tests passing ({percentage:.1f}%)\"]\r\n if in_progress > 0:\r\n status_parts.append(f\"{in_progress} in progress\")\r\n print(f\"\\nProgress: {', '.join(status_parts)}\")\r\n send_progress_webhook(passing, total, project_dir)\r\n else:\r\n print(\"\\nProgress: No features in database yet\")\r","stderr":"","interrupted":false,"isImage":false},"sourceToolAssistantUUID":"38e9f464-0ee0-4dfc-bef1-a9b59dfbe577"}
{"parentUuid":"7aa8c479-9d1e-4b24-8e67-98ccb095a92b","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_016moSaGiRo6jwL3C3SRuvkV","type":"message","role":"assistant","content":[{"type":"text","text":"Now I can see the structure of `progress.py`. The `get_feature_stats` function is missing and needs to be added. Based on the usage in `parallel_agent.py` and `smart_orchestrator.py`, it should return a dict with `pending` and `in_progress` counts. Let me create a workaround to test the ParallelAgentRunner by patching the import."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2275,"cache_read_input_tokens":9929,"cache_creation":{"ephemeral_5m_input_tokens":2275,"ephemeral_1h_input_tokens":0},"output_tokens":2,"service_tier":"standard"}},"requestId":"req_011CX1jdVHMXYGpuB7xDkSpb","type":"assistant","uuid":"de727b5c-56bd-47b6-8620-c2cd5ef7aed5","timestamp":"2026-01-11T14:18:51.353Z"}
{"parentUuid":"de727b5c-56bd-47b6-8620-c2cd5ef7aed5","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_016moSaGiRo6jwL3C3SRuvkV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01B3PvcTZP1He44Ftr8ArEay","name":"Bash","input":{"command":"cd \"C:/Users/MikeSwanson/claude-projects/Autocode-remix/Autocoder-2.0\" && \"venv/Scripts/python.exe\" -c \"\nimport sys\nsys.path.insert(0, '.')\nfrom pathlib import Path\nimport sqlite3\n\n# First, add the missing function to progress module before importing parallel_agent\nimport progress\n\ndef get_feature_stats(project_dir: Path) -> dict:\n '''Get feature statistics from the database.'''\n db_file = project_dir / 'features.db'\n if not db_file.exists():\n return {'pending': 0, 'in_progress': 0, 'completed': 0, 'total': 0}\n \n try:\n conn = sqlite3.connect(db_file)\n cursor = conn.cursor()\n \n # Count total\n cursor.execute('SELECT COUNT(*) FROM features')\n total = cursor.fetchone()[0]\n \n # Count completed (passes = 1)\n cursor.execute('SELECT COUNT(*) FROM features WHERE passes = 1')\n completed = cursor.fetchone()[0]\n \n # Count in_progress\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 \n conn.close()\n \n pending = total - completed - in_progress\n return {\n 'pending': pending,\n 'in_progress': in_progress,\n 'completed': completed,\n 'total': total\n }\n except Exception as e:\n return {'pending': 0, 'in_progress': 0, 'completed': 0, 'total': 0, 'error': str(e)}\n\n# Patch the module\nprogress.get_feature_stats = get_feature_stats\n\n# Now import parallel_agent\nfrom parallel_agent import ParallelAgentRunner, AgentResult, ParallelRunResult\n\nprint('=== ParallelAgentRunner Test ===')\nprint(f'ParallelAgentRunner defined: {ParallelAgentRunner is not None}')\n\nimport inspect\nsig = inspect.signature(ParallelAgentRunner.__init__)\nprint(f'Constructor params: {list(sig.parameters.keys())}')\n\nmethods = [m for m in dir(ParallelAgentRunner) if not m.startswith('_')]\nprint(f'Available methods: {methods}')\n\n# Try to instantiate\ntry:\n test_dir = Path('.')\n runner = ParallelAgentRunner(\n project_dir=test_dir,\n model='claude-sonnet-4-20250514',\n max_parallel=2,\n yolo_mode=True\n )\n print(f'Runner instantiated successfully')\n print(f' project_dir: {runner.project_dir}')\n print(f' model: {runner.model}')\n print(f' max_parallel: {runner.max_parallel}')\n print(f' yolo_mode: {runner.yolo_mode}')\nexcept Exception as e:\n import traceback\n print(f'Instantiation error: {e}')\n traceback.print_exc()\n\n# Check run methods\nif hasattr(ParallelAgentRunner, 'run_parallel'):\n sig = inspect.signature(ParallelAgentRunner.run_parallel)\n print(f'\\nrun_parallel signature: {sig}')\nelif hasattr(ParallelAgentRunner, 'run'):\n sig = inspect.signature(ParallelAgentRunner.run)\n print(f'\\nrun signature: {sig}')\n\n# Check AgentResult and ParallelRunResult\nprint(f'\\n=== Data Classes ===')\nprint(f'AgentResult fields: {list(AgentResult.__annotations__.keys()) if hasattr(AgentResult, \\\"__annotations__\\\") else \\\"N/A\\\"}')\nprint(f'ParallelRunResult fields: {list(ParallelRunResult.__annotations__.keys()) if hasattr(ParallelRunResult, \\\"__annotations__\\\") else \\\"N/A\\\"}')\n\"","description":"Test ParallelAgentRunner with patched get_feature_stats function"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":2275,"cache_read_input_tokens":9929,"cache_creation":{"ephemeral_5m_input_tokens":2275,"ephemeral_1h_input_tokens":0},"output_tokens":1200,"service_tier":"standard"}},"requestId":"req_011CX1jdVHMXYGpuB7xDkSpb","type":"assistant","uuid":"aade8c3b-c562-405a-ae93-c08c3339f961","timestamp":"2026-01-11T14:19:06.209Z"}
{"parentUuid":"aade8c3b-c562-405a-ae93-c08c3339f961","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01B3PvcTZP1He44Ftr8ArEay","type":"tool_result","content":"=== ParallelAgentRunner Test ===\r\nParallelAgentRunner defined: True\r\nConstructor params: ['self', 'project_dir', 'model', 'max_parallel', 'yolo_mode', 'on_feature_start', 'on_feature_complete', 'on_progress']\r\nAvailable methods: ['get_active_features', 'get_results', 'run_parallel', 'run_single_feature', 'stop']\r\nRunner instantiated successfully\r\n project_dir: .\r\n model: claude-sonnet-4-20250514\r\n max_parallel: 2\r\n yolo_mode: True\r\n\r\nrun_parallel signature: (self, max_iterations: Optional[int] = None) -> parallel_agent.ParallelRunResult\r\n\r\n=== Data Classes ===\r\nAgentResult fields: ['feature_id', 'feature_name', 'success', 'error', 'files_touched', 'duration_seconds']\r\nParallelRunResult fields: ['total_features', 'completed', 'failed', 'results', 'duration_seconds']","is_error":false}]},"uuid":"8b8cdc1a-79c3-45f1-a297-fbcde017b692","timestamp":"2026-01-11T14:19:21.851Z","toolUseResult":{"stdout":"=== ParallelAgentRunner Test ===\r\nParallelAgentRunner defined: True\r\nConstructor params: ['self', 'project_dir', 'model', 'max_parallel', 'yolo_mode', 'on_feature_start', 'on_feature_complete', 'on_progress']\r\nAvailable methods: ['get_active_features', 'get_results', 'run_parallel', 'run_single_feature', 'stop']\r\nRunner instantiated successfully\r\n project_dir: .\r\n model: claude-sonnet-4-20250514\r\n max_parallel: 2\r\n yolo_mode: True\r\n\r\nrun_parallel signature: (self, max_iterations: Optional[int] = None) -> parallel_agent.ParallelRunResult\r\n\r\n=== Data Classes ===\r\nAgentResult fields: ['feature_id', 'feature_name', 'success', 'error', 'files_touched', 'duration_seconds']\r\nParallelRunResult fields: ['total_features', 'completed', 'failed', 'results', 'duration_seconds']\r","stderr":"","interrupted":false,"isImage":false},"sourceToolAssistantUUID":"aade8c3b-c562-405a-ae93-c08c3339f961"}
{"parentUuid":"8b8cdc1a-79c3-45f1-a297-fbcde017b692","isSidechain":true,"userType":"external","cwd":"C:\\Users\\MikeSwanson\\claude-projects","sessionId":"ffbb1d55-48d7-4643-9b87-12eb26d1bfa4","version":"2.1.3","gitBranch":"main","agentId":"aadaae7","slug":"mossy-growing-wreath","message":{"model":"claude-opus-4-5-20251101","id":"msg_01SLhFQd2FVxHerJxZFkwAqs","type":"message","role":"assistant","content":[{"type":"text","text":"The test passed successfully after patching the missing `get_feature_stats` function. Here is a summary of the findings:\n\n## ParallelAgentRunner Test Results\n\n### Import Issue\n**Bug Found:** The `parallel_agent.py` module requires a `get_feature_stats` function from `progress.py` that does not exist. This needs to be added to `progress.py` for the module to work properly.\n\n### Class Structure\n\n**Constructor Parameters:**\n- `self`\n- `project_dir` - Path to the project directory\n- `model` - Claude model to use (e.g., 'claude-sonnet-4-20250514')\n- `max_parallel` - Maximum number of parallel agents\n- `yolo_mode` - Boolean for YOLO mode operation\n- `on_feature_start` - Callback for feature start events\n- `on_feature_complete` - Callback for feature completion events\n- `on_progress` - Callback for progress updates\n\n**Available Methods:**\n1. `get_active_features` - Get currently active features\n2. `get_results` - Get results of completed runs\n3. `run_parallel` - Main method to run agents in parallel\n4. `run_single_feature` - Run a single feature\n5. `stop` - Stop the runner\n\n**run_parallel Signature:**\n```python\nrun_parallel(self, max_iterations: Optional[int] = None) -> ParallelRunResult\n```\n\n### Data Classes\n\n**AgentResult fields:**\n- `feature_id` - Identifier for the feature\n- `feature_name` - Name of the feature\n- `success` - Boolean indicating success/failure\n- `error` - Error message if any\n- `files_touched` - List of files modified\n- `duration_seconds` - Time taken\n\n**ParallelRunResult fields:**\n- `total_features` - Total number of features processed\n- `completed` - Number of completed features\n- `failed` - Number of failed features\n- `results` - List of AgentResult objects\n- `duration_seconds` - Total duration\n\n### Missing Function Fix\n\nThe following function needs to be added to `C:\\Users\\MikeSwanson\\claude-projects\\Autocode-remix\\Autocoder-2.0\\progress.py`:\n\n```python\ndef get_feature_stats(project_dir: Path) -> dict:\n \"\"\"Get feature statistics from the database.\"\"\"\n db_file = project_dir / \"features.db\"\n if not db_file.exists():\n return {\"pending\": 0, \"in_progress\": 0, \"completed\": 0, \"total\": 0}\n \n try:\n conn = sqlite3.connect(db_file)\n cursor = conn.cursor()\n \n cursor.execute(\"SELECT COUNT(*) FROM features\")\n total = cursor.fetchone()[0]\n \n cursor.execute(\"SELECT COUNT(*) FROM features WHERE passes = 1\")\n completed = cursor.fetchone()[0]\n \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 \n conn.close()\n \n pending = total - completed - in_progress\n return {\n \"pending\": pending,\n \"in_progress\": in_progress,\n \"completed\": completed,\n \"total\": total\n }\n except Exception:\n return {\"pending\": 0, \"in_progress\": 0, \"completed\": 0, \"total\": 0}\n```"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":1466,"cache_read_input_tokens":12204,"cache_creation":{"ephemeral_5m_input_tokens":1466,"ephemeral_1h_input_tokens":0},"output_tokens":849,"service_tier":"standard"}},"requestId":"req_011CX1jgHUHPHmjQNLUP7Dm5","type":"assistant","uuid":"a385b330-cae5-4cd2-b87a-970d14e58855","timestamp":"2026-01-11T14:19:37.281Z"}
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