WOP

.claude/README.md

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+# Claude Code Configuration
+
+This directory contains Claude Code specific configurations.
+
+## Configuration Files
+
+### Main Controller
+- **Location**: `../CLAUDE.md` (project root)
+- **Purpose**: Main controller configuration for the Swedish Invoice Extraction System
+- **Version**: v1.3.0
+
+### Sub-Agents
+Located in `agents/` directory:
+- `developer.md` - Development agent
+- `code-reviewer.md` - Code review agent
+- `tester.md` - Testing agent
+- `researcher.md` - Research agent
+- `project-manager.md` - Project management agent
+
+### Skills
+Located in `skills/` directory:
+- `code-generation.md` - High-quality code generation skill
+
+## Important Notes
+
+⚠️ **The main CLAUDE.md file is in the project root**, not in this directory.
+
+This is intentional because:
+1. CLAUDE.md is a project-level configuration
+2. It should be visible alongside README.md and other important docs
+3. It serves as the "constitution" for the entire project
+
+When Claude Code starts, it will read:
+1. `../CLAUDE.md` (main controller instructions)
+2. Files in `agents/` (when agents are called)
+3. Files in `skills/` (when skills are used)
+
+---
+
+For the full main controller configuration, see: [../CLAUDE.md](../CLAUDE.md)

.claude/config.toml

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+[permissions]
+read = true
+write = true
+execute = true
+
+[permissions.scope]
+paths = ["."]

.claude/settings.json

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+{
+  "permissions": {
+    "allow": [
+      "Bash(*)",
+      "Read(*)",
+      "Write(*)",
+      "Edit(*)",
+      "Glob(*)",
+      "Grep(*)",
+      "Task(*)"
+    ]
+  }
+}

.claude/settings.local.json

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+{
+  "permissions": {
+    "allow": [
+      "Bash(*)",
+      "Bash(wsl*)",
+      "Bash(wsl -e bash*)",
+      "Read(*)",
+      "Write(*)",
+      "Edit(*)",
+      "Glob(*)",
+      "Grep(*)",
+      "WebFetch(*)",
+      "WebSearch(*)",
+      "Task(*)",
+      "Bash(wsl -e bash -c:*)",
+      "Bash(powershell -c:*)",
+      "Bash(dir \"C:\\\\Users\\\\yaoji\\\\git\\\\ColaCoder\\\\invoice-master-poc-v2\\\\runs\\\\detect\\\\runs\\\\train\\\\invoice_fields_v3\"\")",
+      "Bash(timeout:*)",
+      "Bash(powershell:*)",
+      "Bash(wsl -e bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && nvidia-smi 2>/dev/null | head -10\")",
+      "Bash(wsl -e bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && nohup python3 -m src.cli.train --data data/dataset/dataset.yaml --model yolo11s.pt --epochs 100 --batch 8 --device 0 --name invoice_fields_v4 > training.log 2>&1 &\")",
+      "Bash(wsl -e bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && sleep 10 && tail -20 training.log 2>/dev/null\":*)",
+      "Bash(wsl -e bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && cat training.log 2>/dev/null | head -30\")",
+      "Bash(wsl -e bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && ls -la training.log 2>/dev/null && ps aux | grep python\")",
+      "Bash(wsl -e bash -c \"ps aux | grep -E ''python|train''\")",
+      "Bash(wsl -e bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && python3 -m src.cli.train --data data/dataset/dataset.yaml --model yolo11s.pt --epochs 100 --batch 8 --device 0 --name invoice_fields_v4 2>&1 | tee training.log &\")",
+      "Bash(wsl -e bash -c \"sleep 15 && cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && tail -15 training.log\":*)",
+      "Bash(wsl -e bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && python3 -m src.cli.train --data data/dataset/dataset.yaml --model yolo11s.pt --epochs 100 --batch 8 --device 0 --name invoice_fields_v4\")",
+      "Bash(wsl -e bash -c \"which screen || sudo apt-get install -y screen 2>/dev/null\")",
+      "Bash(wsl -e bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && python3 -c \"\"\nfrom ultralytics import YOLO\n\n# Load model\nmodel = YOLO\\(''runs/detect/runs/train/invoice_fields_v4/weights/best.pt''\\)\n\n# Run inference on a test image\nresults = model.predict\\(\n    ''data/dataset/test/images/36a4fd23-0a66-4428-9149-4f95c93db9cb_page_000.png'',\n    conf=0.5,\n    save=True,\n    project=''results'',\n    name=''test_inference''\n\\)\n\n# Print results\nfor r in results:\n    print\\(''Image:'', r.path\\)\n    print\\(''Boxes:'', len\\(r.boxes\\)\\)\n    for box in r.boxes:\n        cls = int\\(box.cls[0]\\)\n        conf = float\\(box.conf[0]\\)\n        name = model.names[cls]\n        print\\(f''  - {name}: {conf:.2%}''\\)\n\"\"\")",
+      "Bash(python:*)",
+      "Bash(dir:*)",
+      "Bash(timeout 180 tail:*)",
+      "Bash(python3:*)",
+      "Bash(wsl -d Ubuntu-22.04 -- bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && source .venv/bin/activate && python -m src.cli.autolabel --csv ''data/structured_data/document_export_20260110_141554_page1.csv,data/structured_data/document_export_20260110_141612_page2.csv'' --report reports/autolabel_test_2csv.jsonl --workers 2\")",
+      "Bash(wsl -d Ubuntu-22.04 -- bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && source ~/miniconda3/etc/profile.d/conda.sh && conda activate invoice && python -m src.cli.autolabel --csv ''data/structured_data/document_export_20260110_141554_page1.csv,data/structured_data/document_export_20260110_141612_page2.csv'' --report reports/autolabel_test_2csv.jsonl --workers 2\")",
+      "Bash(wsl -d Ubuntu-22.04 -- bash -c \"source ~/miniconda3/etc/profile.d/conda.sh && conda info --envs\":*)",
+      "Bash(wsl:*)",
+      "Bash(for f in reports/autolabel_shard_test_part*.jsonl)",
+      "Bash(done)",
+      "Bash(timeout 10 tail:*)",
+      "Bash(more:*)",
+      "Bash(cmd /c type \"C:\\\\Users\\\\yaoji\\\\AppData\\\\Local\\\\Temp\\\\claude\\\\c--Users-yaoji-git-ColaCoder-invoice-master-poc-v2\\\\tasks\\\\b4d8070.output\")",
+      "Bash(cmd /c \"dir C:\\\\Users\\\\yaoji\\\\git\\\\ColaCoder\\\\invoice-master-poc-v2\\\\reports\\\\autolabel_report_v4*.jsonl\")",
+      "Bash(wsl wc:*)",
+      "Bash(wsl bash:*)",
+      "Bash(wsl bash -c \"ps aux | grep python | grep -v grep\")",
+      "Bash(wsl bash -c \"kill -9 130864 130870 414045 414046\")",
+      "Bash(wsl bash -c \"ps aux | grep python | grep -v grep | grep -v networkd | grep -v unattended\")",
+      "Bash(wsl bash -c \"kill -9 414046 2>/dev/null; pkill -9 -f autolabel 2>/dev/null; sleep 1; ps aux | grep autolabel | grep -v grep\")",
+      "Bash(python -m src.cli.import_report_to_db:*)",
+      "Bash(wsl bash -c \"source ~/miniconda3/etc/profile.d/conda.sh && conda activate invoice-py311 && pip install psycopg2-binary\")",
+      "Bash(conda activate:*)",
+      "Bash(python -m src.cli.analyze_report:*)",
+      "Bash(/c/Users/yaoji/miniconda3/envs/yolo11/python.exe -m src.cli.analyze_report:*)",
+      "Bash(c:/Users/yaoji/miniconda3/envs/yolo11/python.exe -m src.cli.analyze_report:*)",
+      "Bash(cmd /c \"cd /d C:\\\\Users\\\\yaoji\\\\git\\\\ColaCoder\\\\invoice-master-poc-v2 && C:\\\\Users\\\\yaoji\\\\miniconda3\\\\envs\\\\yolo11\\\\python.exe -m src.cli.analyze_report\")",
+      "Bash(cmd /c \"cd /d C:\\\\Users\\\\yaoji\\\\git\\\\ColaCoder\\\\invoice-master-poc-v2 && C:\\\\Users\\\\yaoji\\\\miniconda3\\\\envs\\\\yolo11\\\\python.exe -m src.cli.analyze_report 2>&1\")",
+      "Bash(powershell -Command \"cd C:\\\\Users\\\\yaoji\\\\git\\\\ColaCoder\\\\invoice-master-poc-v2; C:\\\\Users\\\\yaoji\\\\miniconda3\\\\envs\\\\yolo11\\\\python.exe -m src.cli.analyze_report\":*)",
+      "Bash(powershell -Command \"ls C:\\\\Users\\\\yaoji\\\\miniconda3\\\\envs\"\")",
+      "Bash(where:*)",
+      "Bash(\"C:/Users/yaoji/anaconda3/envs/invoice-master/python.exe\" -c \"import psycopg2; print\\(''psycopg2 OK''\\)\")",
+      "Bash(\"C:/Users/yaoji/anaconda3/envs/torch-gpu/python.exe\" -c \"import psycopg2; print\\(''psycopg2 OK''\\)\")",
+      "Bash(\"C:/Users/yaoji/anaconda3/python.exe\" -c \"import psycopg2; print\\(''psycopg2 OK''\\)\")",
+      "Bash(\"C:/Users/yaoji/anaconda3/envs/invoice-master/python.exe\" -m pip install psycopg2-binary)",
+      "Bash(\"C:/Users/yaoji/anaconda3/envs/invoice-master/python.exe\" -m src.cli.analyze_report)",
+      "Bash(wsl -d Ubuntu bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && conda activate invoice-master && python -m src.cli.autolabel --help\":*)",
+      "Bash(wsl -d Ubuntu-22.04 bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && source ~/miniconda3/etc/profile.d/conda.sh && conda activate invoice-extract && python -m src.cli.train --export-only 2>&1\")",
+      "Bash(wsl -d Ubuntu-22.04 bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && ls -la data/dataset/\")",
+      "Bash(wsl -d Ubuntu-22.04 bash -c \"ps aux | grep python | grep -v grep\")",
+      "Bash(wsl -d Ubuntu-22.04 bash -c:*)",
+      "Bash(wsl -e bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && ls -la\")",
+      "Bash(wsl -e bash -c \"cd /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2 && source ~/miniconda3/etc/profile.d/conda.sh && conda activate invoice-master && python -c \"\"\nimport sys\nsys.path.insert\\(0, ''.''\\)\nfrom src.data.db import DocumentDB\nfrom src.yolo.db_dataset import DBYOLODataset\n\n# Connect to database\ndb = DocumentDB\\(\\)\ndb.connect\\(\\)\n\n# Create dataset\ndataset = DBYOLODataset\\(\n    images_dir=''data/dataset'',\n    db=db,\n    split=''train'',\n    train_ratio=0.8,\n    val_ratio=0.1,\n    seed=42,\n    dpi=300\n\\)\n\nprint\\(f''Dataset size: {len\\(dataset\\)}''\\)\n\nif len\\(dataset\\) > 0:\n    # Check first few items\n    for i in range\\(min\\(3, len\\(dataset\\)\\)\\):\n        item = dataset.items[i]\n        print\\(f''\\\\n--- Item {i} ---''\\)\n        print\\(f''Document: {item.document_id}''\\)\n        print\\(f''Is scanned: {item.is_scanned}''\\)\n        print\\(f''Image: {item.image_path.name}''\\)\n        \n        # Get YOLO labels\n        yolo_labels = dataset.get_labels_for_yolo\\(i\\)\n        print\\(f''YOLO labels:''\\)\n        for line in yolo_labels.split\\(''\\\\n''\\)[:3]:\n            print\\(f''  {line}''\\)\n            # Check if values are normalized\n            parts = line.split\\(\\)\n            if len\\(parts\\) == 5:\n                x, y, w, h = float\\(parts[1]\\), float\\(parts[2]\\), float\\(parts[3]\\), float\\(parts[4]\\)\n                if x > 1 or y > 1 or w > 1 or h > 1:\n                    print\\(f''  WARNING: Values not normalized!''\\)\n                elif x == 1.0 or y == 1.0:\n                    print\\(f''  WARNING: Values clamped to 1.0!''\\)\n                else:\n                    print\\(f''  OK: Values properly normalized''\\)\n\ndb.close\\(\\)\n\"\"\")",
+      "Bash(wsl -e bash -c \"ls -la /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2/data/dataset/\")",
+      "Bash(wsl -e bash -c \"ls -la /mnt/c/Users/yaoji/git/ColaCoder/invoice-master-poc-v2/data/dataset/train/\")"
+    ],
+    "deny": [],
+    "ask": [],
+    "defaultMode": "default"
+  }
+}