Hausmeister-Bot: Matomo Analytics Integration — Besucherzahlen, Trend, Top-Seiten, Traffic-Quellen per Chat abfragbar
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4 changed files with 205 additions and 1 deletions
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@ -7,7 +7,7 @@ import re
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sys.path.insert(0, os.path.dirname(__file__))
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from core import config, loki_client, proxmox_client, wordpress_client, prometheus_client
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from core import forgejo_client, seafile_client, pbs_client, mail_client
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from core import forgejo_client, seafile_client, pbs_client, mail_client, matomo_client
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def _load_config():
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@ -180,6 +180,20 @@ def _tool_get_wordpress_stats() -> str:
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return wordpress_client.format_overview(cfg)
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def _tool_get_matomo_analytics() -> str:
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cfg = _load_config()
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if not matomo_client.init(cfg):
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return "Matomo nicht konfiguriert (MATOMO_URL/MATOMO_TOKEN fehlt in homelab.conf)"
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return matomo_client.format_analytics()
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def _tool_get_matomo_trend(days: int = 30) -> str:
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cfg = _load_config()
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if not matomo_client.init(cfg):
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return "Matomo nicht konfiguriert (MATOMO_URL/MATOMO_TOKEN fehlt in homelab.conf)"
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return matomo_client.format_trend(days=days)
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def _tool_create_issue(title: str, body: str = "") -> str:
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cfg = _load_config()
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forgejo_client.init(cfg)
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@ -408,6 +422,8 @@ def get_tool_handlers(session_id: str = None) -> dict:
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"search_mail": lambda query, days=30: _tool_search_mail(query, days=days),
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"get_todays_mails": lambda: _tool_get_todays_mails(),
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"get_smart_mail_digest": lambda hours=24: _tool_get_smart_mail_digest(hours=hours),
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"get_matomo_analytics": lambda: _tool_get_matomo_analytics(),
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"get_matomo_trend": lambda days=30: _tool_get_matomo_trend(days=days),
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"memory_read": lambda scope="": _tool_memory_read(scope),
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"memory_suggest": lambda scope, kind, content, memory_type="fact", confidence="high", expires_at=None: _tool_memory_suggest(scope, kind, content, memory_type=memory_type, confidence=confidence, expires_at=expires_at),
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"session_search": lambda query: _tool_session_search(query),
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163
homelab-ai-bot/core/matomo_client.py
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163
homelab-ai-bot/core/matomo_client.py
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@ -0,0 +1,163 @@
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"""Matomo Analytics API Client — Besucherstatistiken fuer arakavanews.com."""
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import requests
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from datetime import datetime, timedelta
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MATOMO_URL = ""
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MATOMO_TOKEN = ""
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MATOMO_SITE_ID = "1"
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def init(cfg):
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global MATOMO_URL, MATOMO_TOKEN, MATOMO_SITE_ID
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MATOMO_URL = cfg.raw.get("MATOMO_URL", "")
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MATOMO_TOKEN = cfg.raw.get("MATOMO_TOKEN", "")
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MATOMO_SITE_ID = cfg.raw.get("MATOMO_SITE_ID", "1")
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return bool(MATOMO_URL and MATOMO_TOKEN)
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def _api(method: str, **params) -> dict | list | None:
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try:
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p = {
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"module": "API",
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"method": method,
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"idSite": MATOMO_SITE_ID,
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"format": "json",
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"token_auth": MATOMO_TOKEN,
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}
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p.update(params)
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resp = requests.get(f"{MATOMO_URL}/index.php", params=p, timeout=15)
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resp.raise_for_status()
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return resp.json()
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except Exception as e:
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return {"error": str(e)}
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def get_summary(period: str = "day", date: str = "today") -> dict:
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"""Besucher-Zusammenfassung (Visits, Unique, Actions, Bounce, Avg Time)."""
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return _api("VisitsSummary.get", period=period, date=date)
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def get_visitor_trend(days: int = 30) -> dict:
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"""Tageweise Besucherzahlen der letzten N Tage."""
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return _api("VisitsSummary.get", period="day", date=f"last{days}")
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def get_top_pages(period: str = "day", date: str = "today", limit: int = 10) -> list:
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"""Meistbesuchte Seiten."""
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result = _api("Actions.getPageUrls", period=period, date=date,
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filter_limit=limit, flat=1)
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if isinstance(result, dict) and "error" in result:
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return []
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return result if isinstance(result, list) else []
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def get_referrers(period: str = "day", date: str = "today", limit: int = 10) -> list:
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"""Woher kommen Besucher (Suchmaschinen, Social, Direkt)."""
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result = _api("Referrers.getReferrerType", period=period, date=date,
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filter_limit=limit)
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if isinstance(result, dict) and "error" in result:
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return []
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return result if isinstance(result, list) else []
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def get_countries(period: str = "day", date: str = "today", limit: int = 10) -> list:
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"""Besucher nach Laendern."""
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result = _api("UserCountry.getCountry", period=period, date=date,
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filter_limit=limit)
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if isinstance(result, dict) and "error" in result:
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return []
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return result if isinstance(result, list) else []
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def get_devices(period: str = "day", date: str = "today") -> list:
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"""Besucher nach Geraetetyp (Desktop, Mobile, Tablet)."""
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result = _api("DevicesDetection.getType", period=period, date=date)
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if isinstance(result, dict) and "error" in result:
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return []
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return result if isinstance(result, list) else []
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def format_analytics(period: str = "day", date: str = "today") -> str:
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"""Kompakter Analytics-Report fuer den Hausmeister-Bot."""
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lines = []
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summary = get_summary(period, date)
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if isinstance(summary, dict) and "error" not in summary:
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visitors = summary.get("nb_uniq_visitors", 0)
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visits = summary.get("nb_visits", 0)
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actions = summary.get("nb_actions", 0)
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bounce = summary.get("bounce_rate", "?")
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avg_time = summary.get("avg_time_on_site", 0)
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avg_min = int(avg_time) // 60
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avg_sec = int(avg_time) % 60
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lines.append(f"Besucher: {visitors} unique, {visits} visits, {actions} Seitenaufrufe")
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lines.append(f"Bounce Rate: {bounce}, Verweildauer: {avg_min}m {avg_sec}s")
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else:
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return f"Matomo nicht erreichbar: {summary}"
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trend = get_visitor_trend(14)
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if isinstance(trend, dict) and "error" not in trend:
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trend_lines = []
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for date_str, data in sorted(trend.items()):
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if isinstance(data, dict):
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v = data.get("nb_uniq_visitors", 0)
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trend_lines.append(f" {date_str}: {v} Besucher")
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else:
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trend_lines.append(f" {date_str}: 0")
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if trend_lines:
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lines.append("\nTrend (14 Tage):")
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lines.extend(trend_lines)
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pages = get_top_pages(period, "today", 5)
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if pages:
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lines.append("\nTop Seiten (heute):")
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for p in pages[:5]:
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label = p.get("label", "?")
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hits = p.get("nb_hits", 0)
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lines.append(f" {label}: {hits}x")
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referrers = get_referrers(period, "today", 5)
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if referrers:
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lines.append("\nTraffic-Quellen (heute):")
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for r in referrers[:5]:
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label = r.get("label", "?")
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visits = r.get("nb_visits", 0)
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lines.append(f" {label}: {visits} visits")
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countries = get_countries(period, "today", 5)
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if countries:
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lines.append("\nLaender (heute):")
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for c in countries[:5]:
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label = c.get("label", "?")
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visits = c.get("nb_visits", 0)
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lines.append(f" {label}: {visits}")
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return "\n".join(lines) if lines else "Keine Daten verfuegbar."
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def format_trend(days: int = 30) -> str:
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"""Besucherentwicklung ueber N Tage — fuer Trend-Fragen."""
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trend = get_visitor_trend(days)
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if isinstance(trend, dict) and "error" in trend:
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return f"Matomo-Fehler: {trend['error']}"
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lines = [f"Besucherentwicklung (letzte {days} Tage):"]
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total = 0
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day_count = 0
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for date_str, data in sorted(trend.items()):
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if isinstance(data, dict):
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v = data.get("nb_uniq_visitors", 0)
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actions = data.get("nb_actions", 0)
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lines.append(f" {date_str}: {v} Besucher, {actions} Aufrufe")
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total += v
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day_count += 1
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else:
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lines.append(f" {date_str}: 0")
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day_count += 1
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if day_count > 0:
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avg = total / day_count
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lines.append(f"\nDurchschnitt: {avg:.0f} Besucher/Tag, Gesamt: {total}")
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return "\n".join(lines)
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@ -264,6 +264,28 @@ TOOLS = [
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"parameters": {"type": "object", "properties": {}, "required": []},
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},
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},
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{
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"type": "function",
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"function": {
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"name": "get_matomo_analytics",
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"description": "Matomo Website-Analytik: Besucher heute, Trend, Top-Seiten, Traffic-Quellen, Laender. Fuer alle Fragen zu Besucherzahlen, Zuschauern, Traffic, Seitenaufrufen, Bounce Rate, Herkunftslaendern.",
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"parameters": {"type": "object", "properties": {}, "required": []},
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},
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},
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{
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"type": "function",
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"function": {
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"name": "get_matomo_trend",
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"description": "Besucherentwicklung ueber Zeit: Tageweise Besucherzahlen ueber N Tage. Nutze bei Fragen wie 'wie entwickeln sich die Zuschauer', 'Besuchertrend', 'wachsen wir'.",
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"parameters": {
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"type": "object",
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"properties": {
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"days": {"type": "number", "description": "Anzahl Tage zurueckblicken (default: 30)", "default": 30}
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},
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"required": [],
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},
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},
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},
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{
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"type": "function",
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"function": {
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@ -179,6 +179,9 @@ OPENROUTER_KEY="sk-or-v1-f5b2699f4a4708aff73ea0b8bb2653d0d913d57c56472942e510f82
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OPENAI_API_KEY="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"
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MEMORY_API_TOKEN="Ai8eeQibV6Z1RWc7oNPim4PXB4vILU1nRW2-XgRcX2M"
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MEMORY_API_URL="http://100.121.192.94:8400"
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MATOMO_TOKEN="7d3987d48dcd7fdf9776bd81a4da1778"
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MATOMO_URL="http://100.113.244.101"
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MATOMO_SITE_ID="1"
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# --- HOMELAB MCP-SERVER (auf pve-hetzner Host) ---
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MCP_PATH="/root/homelab-mcp"
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