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"content": "\"\"\"\nContent Generator - Core content generation with LLM calls.\n\"\"\"\n\nimport json\nimport sys\nimport time\n\nsys.path.insert(0, \"\/var\/www\/scripts\/pipeline\")\n\nfrom config import ANTHROPIC_API_KEY, ANTHROPIC_MODEL, OLLAMA_CHAT_MODEL, OLLAMA_HOST\nfrom constants import MS_PER_SECOND\nfrom db import db\n\nfrom .config_loader import get_order, get_prompt, parse_author_profile, parse_structure\nfrom .persistence import save_sources, save_version, update_order_status\nfrom .rag_context import get_rag_context, get_semantic_context, get_taxonomy_context\n\n\ndef build_generation_prompt(\n briefing: str,\n context: list[dict],\n profile: dict | None,\n contract: dict | None,\n structure: dict | None = None,\n semantic: dict | None = None,\n taxonomy: list | None = None,\n) -> str:\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 semantic context (entities and relations)\n semantic_text = \"\"\n if semantic:\n if semantic.get(\"entities\"):\n semantic_text += \"\\n## Relevante Konzepte\\n\"\n for e in semantic[\"entities\"][:10]:\n desc = e.get(\"description\") or \"\"\n if desc:\n semantic_text += f\"- **{e['name']}** ({e['type']}): {desc[:100]}\\n\"\n else:\n semantic_text += f\"- **{e['name']}** ({e['type']})\\n\"\n\n if semantic.get(\"relations\"):\n semantic_text += \"\\n## Konzept-Beziehungen\\n\"\n for r in semantic[\"relations\"][:10]:\n semantic_text += f\"- {r['source']} → {r['relation_type']} → {r['target']}\\n\"\n\n # Build taxonomy context\n taxonomy_text = \"\"\n if taxonomy:\n taxonomy_text = \"\\n## Thematische Einordnung\\n\"\n taxonomy_text += \", \".join([t[\"name\"] for t in taxonomy])\n\n # Build profile instructions - detect new vs old format\n profile_text = \"\"\n if profile:\n config = profile.get(\"config\", {})\n\n # Detect new format (has \"haltung\" or \"tonalitaet\" at top level)\n if \"haltung\" in config or \"tonalitaet\" in config or \"grammatik_und_satzbau\" in config:\n # New Cary-style profile\n profile_text = f\"\"\"\n## Autorenprofil: {profile.get(\"name\", \"Standard\")}\n\n{parse_author_profile(config)}\n\"\"\"\n else:\n # Old format - keep backwards compatibility\n autorenprofil = config.get(\"autorenprofil\", config)\n\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\n stil = autorenprofil.get(\"stil\", {})\n stil_text = \"\"\n if stil:\n stil_text = f\"\"\"\n### Stil:\n- Fachsprache: {\"Ja\" if stil.get(\"fachsprache\", False) else \"Nein\"}\n- Satzlänge: {stil.get(\"satzlaenge\", \"mittel\")}\"\"\"\n\n tabus = autorenprofil.get(\"tabus\", [])\n tabus_text = \"\"\n if tabus:\n tabus_text = f\"\"\"\n### Zu vermeiden:\n{\", \".join(tabus[:5])}\"\"\"\n\n profile_text = f\"\"\"",
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