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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:",
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