Protokoll #12349
| ID | 12349 |
|---|---|
| Zeitstempel | 2025-12-24 00:55:21.843505 |
| Client | root |
| IP | Warning: Undefined array key "request_ip" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 13 Deprecated: htmlspecialchars(): Passing null to parameter #1 ($string) of type string is deprecated in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 13 |
| Modell | claude-sonnet-4-20250514 |
| Status | completed |
| Tokens | 2,511 (Input: 0, Output: 0) |
| Dauer | 85 ms |
| Request-Zeit | Warning: Undefined array key "request_timestamp" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 18 |
| Response-Zeit | - |
Warning: Undefined array key "error_message" in /var/www/dev.campus.systemische-tools.de/src/View/protokoll/show.php on line 22
Request
{
"event": "PreToolUse",
"tool_name": "Edit",
"tool_input": {
"file_path": "\/var\/www\/scripts\/pipeline\/web_generate.py",
"old_string": "import json\nimport sys\nfrom datetime import datetime\n\nimport pymysql\n\n# Change to pipeline directory and add to path\nPIPELINE_PATH = \"\/var\/www\/scripts\/pipeline\"\nsys.path.insert(0, PIPELINE_PATH)\n\nfrom config import get_db_password\nfrom generate import generate_content, revise_content, run_critique_round\n\n# Database configuration - uses secure password retrieval from config.py\n# (reads from .env file, no need to pass via environment variable)\nDB_CONFIG = {\n \"host\": \"localhost\",\n \"user\": \"root\",\n \"password\": get_db_password(),\n \"database\": \"ki_content\",\n \"charset\": \"utf8mb4\",\n}",
"new_string": "import json\nimport sys\nfrom datetime import datetime\n\nimport mysql.connector\n\n# Change to pipeline directory and add to path\nPIPELINE_PATH = \"\/var\/www\/scripts\/pipeline\"\nsys.path.insert(0, PIPELINE_PATH)\n\nfrom config import DB_CONFIG\nfrom generate import generate_content, revise_content, run_critique_round"
}
}
Response
{
"tool_response": {
"filePath": "\/var\/www\/scripts\/pipeline\/web_generate.py",
"oldString": "import json\nimport sys\nfrom datetime import datetime\n\nimport pymysql\n\n# Change to pipeline directory and add to path\nPIPELINE_PATH = \"\/var\/www\/scripts\/pipeline\"\nsys.path.insert(0, PIPELINE_PATH)\n\nfrom config import get_db_password\nfrom generate import generate_content, revise_content, run_critique_round\n\n# Database configuration - uses secure password retrieval from config.py\n# (reads from .env file, no need to pass via environment variable)\nDB_CONFIG = {\n \"host\": \"localhost\",\n \"user\": \"root\",\n \"password\": get_db_password(),\n \"database\": \"ki_content\",\n \"charset\": \"utf8mb4\",\n}",
"newString": "import json\nimport sys\nfrom datetime import datetime\n\nimport mysql.connector\n\n# Change to pipeline directory and add to path\nPIPELINE_PATH = \"\/var\/www\/scripts\/pipeline\"\nsys.path.insert(0, PIPELINE_PATH)\n\nfrom config import DB_CONFIG\nfrom generate import generate_content, revise_content, run_critique_round",
"originalFile": "#!\/usr\/bin\/env python3\n\"\"\"\nWeb Content Generation Interface for KI-System\nCalled from PHP with command and parameters.\n\nUsage:\n python web_generate.py generate <order_id> [model] [collection] [limit]\n python web_generate.py critique <version_id> [model]\n python web_generate.py revise <version_id> [model]\n\"\"\"\n\nimport json\nimport sys\nfrom datetime import datetime\n\nimport pymysql\n\n# Change to pipeline directory and add to path\nPIPELINE_PATH = \"\/var\/www\/scripts\/pipeline\"\nsys.path.insert(0, PIPELINE_PATH)\n\nfrom config import get_db_password\nfrom generate import generate_content, revise_content, run_critique_round\n\n# Database configuration - uses secure password retrieval from config.py\n# (reads from .env file, no need to pass via environment variable)\nDB_CONFIG = {\n \"host\": \"localhost\",\n \"user\": \"root\",\n \"password\": get_db_password(),\n \"database\": \"ki_content\",\n \"charset\": \"utf8mb4\",\n}\n\n# Max log lines to keep\nMAX_LOG_LINES = 50\n\n\ndef log_step(order_id: int, message: str, step: str | None = None) -> None:\n \"\"\"Append a log line and optionally update current step.\"\"\"\n timestamp = datetime.now().strftime(\"%H:%M:%S\")\n log_line = f\"[{timestamp}] {message}\"\n\n try:\n conn = pymysql.connect(**DB_CONFIG)\n with conn.cursor() as cursor:\n # Get current log\n cursor.execute(\"SELECT generation_log FROM content_orders WHERE id = %s\", (order_id,))\n row = cursor.fetchone()\n current_log = row[0] if row and row[0] else \"\"\n\n # Append new line, keep last N lines\n lines = current_log.split(\"\\n\") if current_log else []\n lines.append(log_line)\n if len(lines) > MAX_LOG_LINES:\n lines = lines[-MAX_LOG_LINES:]\n new_log = \"\\n\".join(lines)\n\n # Update DB\n if step:\n cursor.execute(\n \"UPDATE content_orders SET generation_log = %s, generation_step = %s, updated_at = NOW() WHERE id = %s\",\n (new_log, step, order_id),\n )\n else:\n cursor.execute(\n \"UPDATE content_orders SET generation_log = %s, updated_at = NOW() WHERE id = %s\",\n (new_log, order_id),\n )\n conn.commit()\n except Exception as e:\n print(f\"Log update failed: {e}\", file=sys.stderr)\n finally:\n if \"conn\" in locals():\n conn.close()\n\n\ndef update_generation_status(order_id: int, status: str, error: str | None = None) -> None:\n \"\"\"Update generation_status in content_orders table.\"\"\"\n try:\n conn = pymysql.connect(**DB_CONFIG)\n with conn.cursor() as cursor:\n if status == \"generating\":\n cursor.execute(\n \"UPDATE content_orders SET generation_status = %s, generation_started_at = NOW(), generation_log = NULL, updated_at = NOW() WHERE id = %s\",\n (status, order_id),\n )\n elif error:\n cursor.execute(\n \"UPDATE content_orders SET generation_status = %s, generation_error = %s, updated_at = NOW() WHERE id = %s\",\n (status, error, order_id),\n )\n else:\n cursor.execute(\n \"UPDATE content_orders SET generation_status = %s, generation_error = NULL, updated_at = NOW() WHERE id = %s\",\n (status, order_id),\n )\n conn.commit()\n except Exception as e:\n print(f\"DB update failed: {e}\", file=sys.stderr)\n finally:\n if \"conn\" in locals():\n conn.close()\n\n\ndef main():\n \"\"\"Route CLI commands to content generation functions.\"\"\"\n if len(sys.argv) < 3:\n print(json.dumps({\"error\": \"Usage: web_generate.py <command> <id> [options]\"}))\n return\n\n command = sys.argv[1]\n entity_id = int(sys.argv[2])\n\n try:\n if command == \"generate\":\n model = sys.argv[3] if len(sys.argv) > 3 else \"anthropic\"\n collection = sys.argv[4] if len(sys.argv) > 4 else \"documents\"\n limit = int(sys.argv[5]) if len(sys.argv) > 5 else 5\n\n # Update status to generating\n update_generation_status(entity_id, \"generating\")\n\n # Log start\n model_display = model.replace(\"ollama:\", \"Ollama: \") if model.startswith(\"ollama:\") else f\"Claude ({model})\"\n log_step(entity_id, f\"Starte Content-Generierung...\", \"init\")\n log_step(entity_id, f\"Modell: {model_display}\")\n log_step(entity_id, f\"Collection: {collection}, Kontext-Limit: {limit}\")\n\n # Log RAG search\n log_step(entity_id, \"Suche relevante Dokumente (RAG)...\", \"rag\")\n\n # Run generation with intermediate logging\n result = generate_content(order_id=entity_id, model=model, collection=collection, context_limit=limit)\n\n # Log result\n if result.get(\"error\"):\n log_step(entity_id, f\"Fehler: {result['error']}\", \"error\")\n update_generation_status(entity_id, \"failed\", result[\"error\"])\n else:\n sources = result.get(\"sources\", [])\n log_step(entity_id, f\"{len(sources)} Quellen gefunden\", \"sources\")\n for src in sources[:3]:\n log_step(entity_id, f\" - {src.get('source', 'Unbekannt')} ({int(src.get('score', 0) * 100)}%)\")\n\n log_step(entity_id, \"Generiere Content mit KI...\", \"llm\")\n log_step(entity_id, \"Content erfolgreich generiert!\", \"done\")\n log_step(entity_id, f\"Version {result.get('version_number', '?')} erstellt\")\n update_generation_status(entity_id, \"completed\")\n\n elif command == \"critique\":\n model = sys.argv[3] if len(sys.argv) > 3 else \"anthropic\"\n result = run_critique_round(version_id=entity_id, model=model)\n\n elif command == \"revise\":\n model = sys.argv[3] if len(sys.argv) > 3 else \"anthropic\"\n result = revise_content(version_id=entity_id, model=model)\n\n else:\n result = {\"error\": f\"Unknown command: {command}\"}\n\n print(json.dumps(result, ensure_ascii=False))\n\n except Exception as e:\n # On exception, mark as failed\n if command == \"generate\":\n log_step(entity_id, f\"Fehler: {e}\", \"error\")\n update_generation_status(entity_id, \"failed\", str(e))\n print(json.dumps({\"error\": str(e)}))\n\n\nif __name__ == \"__main__\":\n main()\n",
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"lines": [
" import sys",
" from datetime import datetime",
" ",
"-import pymysql",
"+import mysql.connector",
" ",
" # Change to pipeline directory and add to path",
" PIPELINE_PATH = \"\/var\/www\/scripts\/pipeline\"",
" sys.path.insert(0, PIPELINE_PATH)",
" ",
"-from config import get_db_password",
"+from config import DB_CONFIG",
" from generate import generate_content, revise_content, run_critique_round",
" ",
"-# Database configuration - uses secure password retrieval from config.py",
"-# (reads from .env file, no need to pass via environment variable)",
"-DB_CONFIG = {",
"- \"host\": \"localhost\",",
"- \"user\": \"root\",",
"- \"password\": get_db_password(),",
"- \"database\": \"ki_content\",",
"- \"charset\": \"utf8mb4\",",
"-}",
"-",
" # Max log lines to keep",
" MAX_LOG_LINES = 50",
" "
]
}
],
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"replaceAll": false
}
}