Protokoll #11600
| ID | 11600 |
|---|---|
| Zeitstempel | 2025-12-23 20:19:40.657088 |
| 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 | 2,747 (Input: 0, Output: 0) |
| Dauer | 305 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": "Read",
"tool_input": {
"file_path": "\/opt\/scripts\/pipeline\/generate.py"
}
}
Response
{
"tool_response": {
"type": "text",
"file": {
"filePath": "\/opt\/scripts\/pipeline\/generate.py",
"content": "#!\/usr\/bin\/env python3\n\"\"\"\nContent Generation for KI-System\nGenerates content using RAG context, author profiles, and contracts.\n\"\"\"\n\nimport json\nimport sys\n\nsys.path.insert(0, \"\/opt\/scripts\/pipeline\")\n\nfrom config import ANTHROPIC_API_KEY, ANTHROPIC_MODEL, OLLAMA_CHAT_MODEL, OLLAMA_HOST # noqa: I001, E402\nfrom db import db # noqa: E402\nfrom embed import search_similar # noqa: E402\n\n\ndef _repair_json(json_str):\n \"\"\"\n Attempt to repair common JSON issues from LLM output.\n\n Fixes:\n - Unescaped quotes in strings\n - Missing commas between array elements\n - Trailing commas\n - Control characters in strings\n \"\"\"\n import re\n\n # Remove control characters except newlines and tabs\n json_str = re.sub(r\"[\\x00-\\x08\\x0b\\x0c\\x0e-\\x1f]\", \"\", json_str)\n\n # Fix common issue: missing comma before closing bracket in arrays\n json_str = re.sub(r'\"\\s*\\n\\s*]', '\"\\n]', json_str)\n\n # Fix trailing commas before closing brackets\/braces\n json_str = re.sub(r\",\\s*}\", \"}\", json_str)\n json_str = re.sub(r\",\\s*]\", \"]\", json_str)\n\n # Fix missing commas between array elements (string followed by string)\n json_str = re.sub(r'\"\\s*\\n\\s*\"', '\",\\n\"', json_str)\n\n # Fix unescaped quotes within strings (heuristic: quotes not at boundaries)\n # This is tricky, so we do a simple fix for common patterns\n lines = json_str.split(\"\\n\")\n fixed_lines = []\n for line in lines:\n # Count quotes - if odd number and line has content, try to fix\n quote_count = line.count('\"') - line.count('\\\\\"')\n if quote_count % 2 != 0 and \":\" in line:\n # Try to escape internal quotes (very basic heuristic)\n parts = line.split(\":\", 1)\n if len(parts) == 2:\n key_part = parts[0]\n value_part = parts[1]\n # If value has odd quotes, try to balance\n if value_part.count('\"') % 2 != 0:\n # Add escaped quote or remove problematic char\n value_part = value_part.rstrip().rstrip(\",\")\n if not value_part.endswith('\"'):\n value_part += '\"'\n line = key_part + \":\" + value_part\n fixed_lines.append(line)\n\n return \"\\n\".join(fixed_lines)\n\n\ndef get_prompt(name):\n \"\"\"Load prompt from database by name.\"\"\"\n cursor = db.execute(\n \"\"\"SELECT content FROM prompts WHERE name = %s AND is_active = 1 ORDER BY version DESC LIMIT 1\"\"\",\n (name,),\n )\n result = cursor.fetchone()\n cursor.close()\n return result[\"content\"] if result else None\n\n\ndef get_rag_context(briefing, collection=\"documents\", limit=5):\n \"\"\"\n Get relevant context from Qdrant based on briefing.\n Returns list of chunks with content and metadata.\n \"\"\"\n results = search_similar(briefing, collection=collection, limit=limit)\n\n context_items = []\n for result in results:\n context_items.append(\n {\n \"content\": result[\"payload\"].get(\"content\", \"\"),\n \"source\": result[\"payload\"].get(\"document_title\", \"Unknown\"),\n \"score\": round(result[\"score\"], 4),\n }\n )\n\n return context_items\n\n\ndef get_config_item(item_id, item_type):\n \"\"\"Load configuration item from content_config table.\"\"\"\n if not item_id:\n return None\n\n cursor = db.execute(\n \"SELECT name, content FROM content_config WHERE id = %s AND type = %s AND status = 'active'\",\n (item_id, item_type),\n )\n result = cursor.fetchone()\n cursor.close()\n\n if result:\n config = json.loads(result[\"content\"]) if isinstance(result[\"content\"], str) else result[\"content\"]\n return {\"name\": result[\"name\"], \"config\": config}\n return None\n\n\ndef get_author_profile(profile_id):\n \"\"\"Load author profile from database.\"\"\"\n return get_config_item(profile_id, \"author_profile\")\n\n\ndef get_contract(contract_id):\n \"\"\"Load content contract from database.\"\"\"\n return get_config_item(contract_id, \"contract\")\n\n\ndef get_structure(structure_id):\n \"\"\"Load content structure from database.\"\"\"\n result = get_config_item(structure_id, \"structure\")\n if result:\n # Structure has additional 'type' field in config\n result[\"type\"] = result[\"config\"].get(\"type\", \"article\")\n return result\n\n\ndef get_order(order_id):\n \"\"\"Load content order with all related data.\"\"\"\n cursor = db.execute(\n \"\"\"SELECT co.*,\n ap.name as profile_name, ap.content as profile_config,\n cc.name as contract_name, cc.content as contract_config,\n cs.name as structure_name, cs.content as structure_config\n FROM content_orders co\n LEFT JOIN content_config ap ON co.author_profile_id = ap.id AND ap.type = 'author_profile'\n LEFT JOIN content_config cc ON co.contract_id = cc.id AND cc.type = 'contract'\n LEFT JOIN content_config cs ON co.structure_id = cs.id AND cs.type = 'structure'\n WHERE co.id = %s\"\"\",\n (order_id,),\n )\n result = cursor.fetchone()\n cursor.close()\n return result\n\n\ndef build_generation_prompt(briefing, context, profile, contract, structure=None):\n \"\"\"Build the content generation prompt.\"\"\"\n\n # Format context\n context_text = \"\"\n for i, ctx in enumerate(context, 1):\n context_text += f\"\\n[Quelle {i}: {ctx['source']}]\\n{ctx['content']}\\n\"\n\n # Build rich profile instructions\n profile_text = \"\"\n if profile:\n config = profile.get(\"config\", {})\n autorenprofil = config.get(\"autorenprofil\", config) # Support both structures\n\n # Extract voice\/stimme\n stimme = autorenprofil.get(\"stimme\", {})\n stimme_text = \"\"\n if stimme:\n stimme_text = f\"\"\"\n### Stimme\/Tonalität:\n- Ton: {stimme.get(\"ton\", \"neutral\")}\n- Perspektive: {stimme.get(\"perspektive\", \"neutral\")}\n- Komplexität: {stimme.get(\"komplexitaet\", \"mittel\")}\n- Autorität: {stimme.get(\"autoritaet\", \"Experte\")}\"\"\"\n\n # Extract style\/stil\n stil = autorenprofil.get(\"stil\", {})\n stil_text = \"\"\n if stil:\n fachsprache_beispiele = stil.get(\"fachsprache_beispiele\", [])\n fachsprache_str = \", \".join(fachsprache_beispiele[:5]) if fachsprache_beispiele else \"\"\n stil_text = f\"\"\"\n### Stil:\n- Fachsprache: {\"Ja\" if stil.get(\"fachsprache\", False) else \"Nein\"}\n- Fachbegriffe: {fachsprache_str}\n- Satzlänge: {stil.get(\"satzlaenge\", \"mittel\")}\n- Absatzstruktur: {stil.get(\"absatzstruktur\", \"klar gegliedert\")}\"\"\"\n\n # Extract language patterns\/sprachliche_muster\n muster = autorenprofil.get(\"sprachliche_muster\", {})\n muster_text = \"\"\n if muster:\n phrasen = muster.get(\"phrasen\", [])\n phrasen_str = \", \".join([f'\"{p}\"' for p in phrasen[:4]]) if phrasen else \"\"\n uebergaenge = muster.get(\"uebergaenge\", [])\n uebergaenge_str = \", \".join([f'\"{u}\"' for u in uebergaenge[:3]]) if uebergaenge else \"\"\n muster_text = f\"\"\"\n### Sprachliche Muster:\n- Typische Phrasen: {phrasen_str}\n- Übergangsformulierungen: {uebergaenge_str}\"\"\"\n\n # Extract taboos\/tabus\n tabus = autorenprofil.get(\"tabus\", [])\n tabus_text = \"\"\n if tabus:\n tabus_str = \", \".join(tabus[:5])\n tabus_text = f\"\"\"\n### Zu vermeiden (Tabus):\n{tabus_str}\"\"\"\n\n # Extract core messages\/kernbotschaften\n kernbotschaften = autorenprofil.get(\"kernbotschaften\", [])\n kern_text = \"\"\n if kernbotschaften:\n kern_str = \"\\n\".join([f\"- {k}\" for k in kernbotschaften[:4]])\n kern_text = f\"\"\"\n### Kernbotschaften (implizit vermitteln):\n{kern_str}\"\"\"\n\n # Extract output format (HTML for web profiles)\n output_format = autorenprofil.get(\"output_format\", {})\n format_text = \"\"\n if output_format and output_format.get(\"typ\") == \"html\":\n erlaubte = output_format.get(\"erlaubte_elemente\", {})\n verboten = output_format.get(\"verbotene_elemente\", [])\n regeln = output_format.get(\"struktur_regeln\", [])\n\n erlaubte_str = []\n for _kategorie, elemente in erlaubte.items():\n erlaubte_str.extend(elemente[:3])\n\n format_text = f\"\"\"\n### Output-Format: HTML\n**Erlaubte Elemente:**\n{\", \".join(erlaubte_str[:10])}\n\n**Struktur-Regeln:**\n- {chr(10).join(\"- \" + r for r in regeln[:4]) if regeln else \"Semantisches HTML verwenden\"}\n\n**Verboten:** {\", \".join(verboten[:4]) if verboten else \"div, span, br, style\"}\"\"\"\n\n # Combine all profile sections\n profile_text = f\"\"\"\n## Autorenprofil: {profile.get(\"name\", \"Standard\")}\n{stimme_text}\n{stil_text}\n{muster_text}\n{tabus_text}\n{kern_text}\n{format_text}\n\"\"\"\n\n # Build contract requirements\n contract_text = \"\"\n if contract:\n config = contract.get(\"config\", {})\n req = config.get(\"requirements\", {})\n contract_text = f\"\"\"\nContract: {contract.get(\"name\", \"Standard\")}\n- Wortanzahl: {req.get(\"min_words\", 500)} - {req.get(\"max_words\", 5000)} Wörter\n- Struktur-Validierung: {req.get(\"structure_validation\", True)}\n\"\"\"\n\n # Build structure instructions\n structure_text = \"\"\n if structure:\n config = structure.get(\"config\", {})\n structure_text = f\"\"\"\nStruktur-Template: {structure.get(\"name\", \"\")}\n- Typ: {structure.get(\"type\", \"\")}\n- Abschnitte: {json.dumps(config.get(\"sections\", []), ensure_ascii=False)}\n\"\"\"\n\n # Determine if HTML output is required\n html_output = False\n if profile:\n config = profile.get(\"config\", {})\n autorenprofil = config.get(\"autorenprofil\", config)\n output_format = autorenprofil.get(\"output_format\", {})\n html_output = output_format.get(\"typ\") == \"html\"\n\n format_instruction = \"\"\n if html_output:\n format_instruction = \"\"\"7. **WICHTIG: Ausgabe als wohlformatiertes HTML**\n - Verwende nur: h1, h2, h3, h4, p, ul, ol, li, strong, a, section, table, tr, td\n - Jeder h2-Abschnitt mu... [TRUNCATED-b1a598d104e1d301]",
"numLines": 863,
"startLine": 1,
"totalLines": 863
}
}
}