Auto-Sync: 2026-03-20 23:00
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parent
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6 changed files with 151 additions and 3 deletions
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# Arakava News — Live State
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> Auto-generiert: 2026-03-20 22:45
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> Auto-generiert: 2026-03-20 23:00
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## Service Status
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| Service | CT | Status |
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45
homelab-ai-bot/patch_dr.py
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45
homelab-ai-bot/patch_dr.py
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from pathlib import Path
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p = Path('/root/homelab-brain/homelab-ai-bot/tools/deep_research.py')
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text = p.read_text()
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# 1. Add datetime import
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text = text.replace(
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'import logging\nimport re\nimport time',
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'import logging\nimport re\nimport time\nfrom datetime import date'
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)
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# 2. Add _inject_date_context function before _price_report_quality
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text = text.replace(
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'def _price_report_quality(report: str):',
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'''def _inject_date_context(query):
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today = date.today()
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return (
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f"Heutiges Datum: {today.strftime('%d. %B %Y')}. "
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f"'Letzte 3 Monate' = {(today.replace(day=1) - __import__('datetime').timedelta(days=90)).strftime('%B %Y')} bis {today.strftime('%B %Y')}.\n\n"
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+ query
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)
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def _price_report_quality(report: str):'''
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)
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# 3. Add year check in _price_report_quality before return
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text = text.replace(
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' return len(missing) == 0, missing',
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''' today = date.today()
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ok_years = {str(today.year), str(today.year - 1)}
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found = set(re.findall(r"20\d{2}", text))
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if found and not (found & ok_years):
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missing.append(f"Jahre falsch: {found} statt {ok_years}")
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return len(missing) == 0, missing'''
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)
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# 4. Inject date context in handle_deep_research
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text = text.replace(
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' log.info("deep_research gestartet: %s", query[:120])',
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' query = _inject_date_context(query)\n log.info("deep_research gestartet: %s", query[:200])'
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)
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p.write_text(text)
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print('OK')
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27
homelab-ai-bot/patch_dr2.py
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27
homelab-ai-bot/patch_dr2.py
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from pathlib import Path
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p = Path('/root/homelab-brain/homelab-ai-bot/tools/deep_research.py')
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text = p.read_text()
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# Fix the broken _inject_date_context
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old_fn = '''def _inject_date_context(query):
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today = date.today()
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return (
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f"Heutiges Datum: {today.strftime('%d. %B %Y')}. "
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f"'Letzte 3 Monate' = {(today.replace(day=1) - __import__('datetime').timedelta(days=90)).strftime('%B %Y')} bis {today.strftime('%B %Y')}.\n\n"
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+ query
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)'''
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new_fn = '''def _inject_date_context(query):
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from datetime import timedelta
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today = date.today()
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three_months_ago = today - timedelta(days=90)
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prefix = (
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"Heutiges Datum: " + today.strftime("%d. %B %Y") + ". "
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"'Letzte 3 Monate' = " + three_months_ago.strftime("%B %Y")
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+ " bis " + today.strftime("%B %Y") + ".\n\n"
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)
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return prefix + query'''
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text = text.replace(old_fn, new_fn)
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p.write_text(text)
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print('OK')
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76
homelab-ai-bot/patch_llm.py
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76
homelab-ai-bot/patch_llm.py
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from pathlib import Path
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p = Path('/root/homelab-brain/homelab-ai-bot/llm.py')
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text = p.read_text()
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# 1. Replace model config block
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old_models = '''MODEL = openai/gpt-4o-mini
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VISION_MODEL = openai/gpt-4o
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MAX_TOOL_ROUNDS = 3'''
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new_models = '''OLLAMA_BASE = http://100.84.255.83:11434
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OPENROUTER_BASE = https://openrouter.ai/api/v1
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MODEL = qwen2.5:14b
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VISION_MODEL = openai/gpt-4o
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MAX_TOOL_ROUNDS = 3'''
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text = text.replace(old_models, new_models)
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# 2. Add date to system prompt (right after first line)
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old_prompt_start = 'SYSTEM_PROMPT = """Du bist der Hausmeister-Bot fuer ein Homelab. Deutsch, kurz, direkt, operativ.'
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new_prompt_start = '''SYSTEM_PROMPT = f"""Du bist der Hausmeister-Bot fuer ein Homelab. Deutsch, kurz, direkt, operativ.
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Heutiges Datum: {__import__('datetime').date.today().strftime('%d. %B %Y')}.'''
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text = text.replace(old_prompt_start, new_prompt_start)
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# 3. Replace _call_openrouter to support both backends
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old_call = '''def _call_openrouter(messages: list, api_key: str, use_tools: bool = True,
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model: str = None, max_tokens: int = 600) -> dict:
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payload = {
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model: model or MODEL,
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messages: messages,
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max_tokens: max_tokens,
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}
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if use_tools:
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payload[tools] = TOOLS
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payload[tool_choice] = auto
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r = requests.post(
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https://openrouter.ai/api/v1/chat/completions,
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headers={Authorization: fBearer {api_key}},
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json=payload,
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timeout=90,
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)
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r.raise_for_status()
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return r.json()'''
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new_call = '''def _call_openrouter(messages: list, api_key: str, use_tools: bool = True,
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model: str = None, max_tokens: int = 600) -> dict:
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chosen_model = model or MODEL
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use_ollama = chosen_model == MODEL
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payload = {
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model: chosen_model,
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messages: messages,
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max_tokens: max_tokens,
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}
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if use_tools:
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payload[tools] = TOOLS
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payload[tool_choice] = auto
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if use_ollama:
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url = f{OLLAMA_BASE}/v1/chat/completions
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headers = {}
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timeout = 180
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else:
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url = f{OPENROUTER_BASE}/chat/completions
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headers = {Authorization: fBearer {api_key}}
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timeout = 90
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r = requests.post(url, headers=headers, json=payload, timeout=timeout)
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r.raise_for_status()
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return r.json()'''
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text = text.replace(old_call, new_call)
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p.write_text(text)
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print('OK')
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@ -1,5 +1,5 @@
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# Infrastruktur — Live State
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> Auto-generiert: 2026-03-20 22:45
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> Auto-generiert: 2026-03-20 23:00
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## pve-hetzner Disk
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| Mount | Belegt |
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# Smart Home Muldenstein — Live State
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> Auto-generiert: 2026-03-20 22:45
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> Auto-generiert: 2026-03-20 23:00
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## Backup-Status
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- Letztes Backup: 563MB, 2026-03-20 04:01
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