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341 lines
9.5 KiB
Python
341 lines
9.5 KiB
Python
#!/usr/bin/env python3
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"""
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scripts/health_check_mindnet.py
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Health-Check für den mindnet-Retriever-/Query-Endpoint.
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Funktion:
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- Führt POST-Requests auf /query in verschiedenen Modi aus (standard: semantic + hybrid).
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- Prüft Status-Code, JSON-Struktur und Anzahl der Treffer.
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- Kennzeichnet Probleme als:
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- status="ok"
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- status="warning" (z.B. Timeout)
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- status="error" (harte Fehler wie HTTP-Fehler, JSON-Fehler etc.)
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Exit-Code:
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- Default (tolerant):
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- overall_status = "ok" (inkl. warnings) → Exit-Code 0
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- overall_status = "error" → Exit-Code 1
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- Mit --strict:
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- warnings werden wie errors behandelt → Exit-Code 1
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Beispiele:
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python scripts/health_check_mindnet.py \
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--url http://127.0.0.1:8001/query \
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--query "embeddings" \
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--top-k 3
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python scripts/health_check_mindnet.py \
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--url http://127.0.0.1:8001/query \
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--query "embeddings" \
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--top-k 3 \
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--timeout 15 \
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--modes hybrid
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# Strenger Modus (warnings → Exit-Code 1)
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python scripts/health_check_mindnet.py --strict
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"""
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from __future__ import annotations
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import argparse
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import json
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import socket
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import sys
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import time
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import urllib.error
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import urllib.request
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from typing import Any, Dict, List
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def _post_query(
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url: str,
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mode: str,
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query: str,
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top_k: int,
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timeout: float,
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) -> Dict[str, Any]:
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"""
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Führt einen POST auf den /query-Endpoint aus und gibt das dekodierte JSON zurück.
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Raises:
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urllib.error.URLError, urllib.error.HTTPError, RuntimeError
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"""
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payload = {
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"mode": mode,
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"query": query,
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"top_k": top_k,
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"expand": {
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"depth": 1 if mode == "hybrid" else 0,
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"edge_types": ["references", "belongs_to", "prev", "next"],
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},
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"ret": {
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"with_paths": True,
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"with_notes": True,
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"with_chunks": True,
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},
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}
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data = json.dumps(payload).encode("utf-8")
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req = urllib.request.Request(
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url=url,
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data=data,
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headers={"Content-Type": "application/json"},
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method="POST",
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)
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start = time.monotonic()
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with urllib.request.urlopen(req, timeout=timeout) as resp:
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status_code = resp.getcode()
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body = resp.read().decode("utf-8")
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end = time.monotonic()
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latency_ms = int((end - start) * 1000)
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if status_code != 200:
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raise RuntimeError(f"HTTP {status_code}: {body}")
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try:
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doc = json.loads(body)
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except json.JSONDecodeError as exc:
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raise RuntimeError(f"Antwort ist kein gültiges JSON: {exc}") from exc
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if not isinstance(doc, dict):
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raise RuntimeError("Antwort ist kein JSON-Objekt")
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doc["_latency_ms"] = latency_ms
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return doc
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def _validate_response(
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mode: str,
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doc: Dict[str, Any],
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min_results: int,
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) -> Dict[str, Any]:
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"""
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Prüft die wichtigsten Invarianten des Query-Responses.
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Rückgabe-Format:
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{
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"status": "ok" | "warning" | "error",
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"message": str,
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"latency_ms": int,
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"used_mode": str,
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"result_count": int
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}
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"""
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latency_ms = int(doc.get("_latency_ms", -1))
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used_mode = str(doc.get("used_mode", "unknown"))
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results = doc.get("results", [])
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if not isinstance(results, list):
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return {
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"status": "error",
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"message": "results ist kein Array",
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"latency_ms": latency_ms,
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"used_mode": used_mode,
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"result_count": -1,
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}
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result_count = len(results)
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if result_count < min_results:
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# Zu wenige Ergebnisse sind aus Sicht eines Health-Checks eher ein Error,
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# da die Retrieval-Qualität nicht gewährleistet ist.
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return {
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"status": "error",
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"message": f"zu wenige Ergebnisse: {result_count} < {min_results}",
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"latency_ms": latency_ms,
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"used_mode": used_mode,
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"result_count": result_count,
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}
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sample_msg = "OK"
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if result_count > 0:
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first = results[0]
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if not isinstance(first, dict):
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sample_msg = "first result ist kein Objekt"
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else:
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# einfache Plausibilitätschecks (nur Zugriff, kein strikter Typcheck)
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_ = first.get("note_id")
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_ = first.get("chunk_id")
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_ = first.get("total_score")
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status = "ok" if sample_msg == "OK" else "warning"
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return {
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"status": status,
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"message": sample_msg,
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"latency_ms": latency_ms,
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"used_mode": used_mode,
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"result_count": result_count,
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}
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def run_health_check(
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url: str,
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query: str,
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top_k: int,
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timeout: float,
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modes: List[str],
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min_results: int,
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) -> Dict[str, Any]:
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"""
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Führt den Health-Check für die angegebenen Modi aus.
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"""
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report: Dict[str, Any] = {
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"url": url,
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"query": query,
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"top_k": top_k,
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"timeout_s": timeout,
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"checks": [],
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"overall_status": "ok", # wird unten ggf. auf warning oder error gesetzt
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}
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overall_status = "ok"
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for mode in modes:
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entry: Dict[str, Any] = {
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"mode": mode,
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"status": "error",
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"message": "",
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}
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try:
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doc = _post_query(url=url, mode=mode, query=query, top_k=top_k, timeout=timeout)
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validation = _validate_response(mode=mode, doc=doc, min_results=min_results)
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entry.update(validation)
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except urllib.error.HTTPError as exc:
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entry["status"] = "error"
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entry["message"] = f"HTTP-Fehler: {exc}"
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entry["latency_ms"] = -1
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entry["used_mode"] = mode
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entry["result_count"] = -1
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except urllib.error.URLError as exc:
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# URLError kann u.a. socket.timeout enthalten.
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lat = -1
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entry["latency_ms"] = lat
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entry["used_mode"] = mode
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entry["result_count"] = -1
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if isinstance(exc.reason, socket.timeout):
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entry["status"] = "warning"
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entry["message"] = f"Timeout (URLError/socket.timeout): {exc}"
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else:
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entry["status"] = "error"
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entry["message"] = f"HTTP/Netzwerkfehler: {exc}"
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except socket.timeout as exc:
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# Direkter Timeout (falls nicht in URLError verpackt)
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entry["status"] = "warning"
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entry["message"] = f"Timeout (socket.timeout): {exc}"
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entry["latency_ms"] = -1
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entry["used_mode"] = mode
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entry["result_count"] = -1
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except Exception as exc: # noqa: BLE001
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entry["status"] = "error"
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entry["message"] = f"unerwarteter Fehler: {exc}"
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entry["latency_ms"] = -1
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entry["used_mode"] = mode
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entry["result_count"] = -1
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# overall_status bestimmen:
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# - error > warning > ok
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if entry["status"] == "error":
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overall_status = "error"
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elif entry["status"] == "warning" and overall_status == "ok":
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overall_status = "warning"
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report["checks"].append(entry)
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report["overall_status"] = overall_status
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return report
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def parse_args(argv: List[str]) -> argparse.Namespace:
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parser = argparse.ArgumentParser(
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description="Health-Check für mindnet /query-Retriever",
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)
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parser.add_argument(
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"--url",
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default="http://127.0.0.1:8001/query",
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help="Vollständige URL des /query-Endpunkts (Default: %(default)s)",
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)
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parser.add_argument(
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"--query",
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default="embeddings",
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help="Test-Query für den Health-Check (Default: %(default)s)",
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)
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parser.add_argument(
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"--top-k",
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type=int,
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default=3,
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help="Top-K für die Testabfrage (Default: %(default)s)",
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)
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parser.add_argument(
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"--timeout",
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type=float,
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default=5.0,
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help="Timeout in Sekunden pro Request (Default: %(default)s)",
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)
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parser.add_argument(
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"--modes",
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nargs="+",
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default=["semantic", "hybrid"],
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help="Zu prüfende Modi (Default: semantic hybrid)",
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)
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parser.add_argument(
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"--min-results",
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type=int,
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default=1,
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help="Minimale Anzahl erwarteter Ergebnisse (Default: %(default)s)",
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)
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parser.add_argument(
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"--strict",
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action="store_true",
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help="Warnings als Fehler behandeln (overall_status=warning führt zu Exit-Code 1)",
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)
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return parser.parse_args(argv)
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def main(argv: List[str]) -> int:
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args = parse_args(argv)
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report = run_health_check(
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url=args.url,
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query=args.query,
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top_k=args.top_k,
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timeout=args.timeout,
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modes=args.modes,
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min_results=args.min_results,
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)
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overall = report.get("overall_status", "error")
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# Menschlich lesbare Zusammenfassung:
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print(f"mindnet health: {overall}")
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for c in report["checks"]:
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mode = c.get("mode")
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status = c.get("status")
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latency = c.get("latency_ms")
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result_count = c.get("result_count")
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msg = c.get("message", "")
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print(f" - {mode}: {status} (latency={latency} ms, results={result_count}) {msg}")
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# JSON-Ausgabe (z.B. für n8n):
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print(json.dumps(report, ensure_ascii=False))
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if args.strict:
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# strict: warning wird wie error behandelt
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return 0 if overall == "ok" else 1
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else:
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# tolerant: nur echte errors führen zu Exit-Code 1
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return 0 if overall in ("ok", "warning") else 1
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if __name__ == "__main__":
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raise SystemExit(main(sys.argv[1:]))
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