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410 lines
16 KiB
Python
410 lines
16 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Module: wiki_importer.py
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Status: stable
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Kurzbeschreibung:
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- Import von einzeln Übungen funktioniert
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- Import von allen Übungen funktioniert
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- Änderungsvergleich gegen Änderungen im Wiki funktioniert
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- Neue Übungen gegen die in qdrant gespeicherten werden identifiziert und angelegt
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Beschreibung:
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- Importiert Übungen aus dem MediaWiki via FastAPI wiki_router
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- Führt vor dem Import einen Login gegen /import/wiki/login durch (falls nicht via --skip-login deaktiviert)
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- Holt Liste aller Übungs-Titel (SMW-Ask) via `/semantic/pages`
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- Für jede Übung:
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* Fetch pageinfo (pageid, fullurl) via `/info` (nur wenn nicht bereits geliefert)
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* Parse Wikitext (Templates: ÜbungInfoBox, Übungsbeschreibung, SkillDevelopment) via `/parsepage`
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* Baut Payload entsprechend Exercise-Datenmodell
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* Idempotentes Upsert: external_id="mw:{pageid}", Fingerprint (sha256) über Kernfelder,
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Lookup via `/exercise/by-external-id`, dann create/update/skip inkl. Zählern.
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- Unterstützt Single-Import via `--title` (oder ENV `WIKI_EXERCISE_TITLE`) und Full-Import via `--all`
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- Optional: Credentials via CLI (--username/--password) oder `.env` (WIKI_BOT_USER / WIKI_BOT_PASSWORD)
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- Smoke-Test (`--smoke-test`): 3 Läufe nacheinander (create → skip → update), ohne API-Signaturen zu ändern.
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Version: 2.3.2
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Änderung: Regressionsfix in `process_all()` statt `isinstance(entry, dict)` wird nun generisch über
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`getattr(entry, "get", None)` auf `pageid/fullurl` zugegriffen (unterstützt Mappingähnliche Typen
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wie pydantic/OrderedDict/Mapping). So werden vorhandene pageids aus `/semantic/pages` wieder zuverlässig
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genutzt und unnötige `/info`Aufrufe vermieden.
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"""
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import os
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import sys
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import argparse
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from typing import Dict, Any, Tuple, Optional
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from collections.abc import Mapping
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import requests
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import mwparserfromhell
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from dotenv import load_dotenv
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import hashlib
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import json
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import time
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# ----- Konfiguration / Defaults -----
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load_dotenv() # .env laden, falls vorhanden
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API_BASE_URL = os.getenv("API_BASE_URL", "http://localhost:8000/import/wiki") # FastAPI-Wiki-Proxy
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EXERCISE_API = os.getenv("EXERCISE_API_URL", "http://localhost:8000/exercise") # Exercise-Endpoint (Basis, ohne Slash am Ende)
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DEFAULT_CAT = os.getenv("WIKI_CATEGORY", "Übungen")
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DEFAULT_TITLE = os.getenv("WIKI_EXERCISE_TITLE", "Affenklatschen")
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REQUEST_TIMEOUT = int(os.getenv("REQUEST_TIMEOUT", "60"))
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# ---- Hilfsfunktionen für Wiki-Router ----
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def wiki_health() -> None:
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r = requests.get(f"{API_BASE_URL}/health", timeout=15)
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r.raise_for_status()
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print("[Sanity] Wiki health OK")
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def wiki_login(username: str, password: str) -> None:
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"""
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Führt einen Login gegen den wiki_router durch.
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Erwartet: {"status":"success"} bei Erfolg.
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"""
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payload = {"username": username, "password": password}
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r = requests.post(f"{API_BASE_URL}/login", json=payload, timeout=30)
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try:
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data = r.json()
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except Exception:
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print(f"[Login] HTTP {r.status_code}: {r.text}")
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r.raise_for_status()
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status = (data or {}).get("status")
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if status != "success":
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msg = (data or {}).get("message", "Login fehlgeschlagen")
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raise RuntimeError(f"[Login] {msg}")
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print("[Login] success")
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def fetch_all_pages(category: str) -> Dict[str, Any]:
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resp = requests.get(f"{API_BASE_URL}/semantic/pages", params={"category": category}, timeout=REQUEST_TIMEOUT)
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resp.raise_for_status()
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return resp.json()
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def fetch_page_info(title: str) -> Dict[str, Any]:
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r = requests.get(f"{API_BASE_URL}/info", params={"title": title}, timeout=30)
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r.raise_for_status()
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info = r.json()
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return {"pageid": info.get("pageid"), "fullurl": info.get("fullurl")}
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def parse_exercise(title: str, pageid: int) -> Dict[str, Any]:
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print(f"[Parse] Lade '{title}' (ID={pageid})")
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resp = requests.get(
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f"{API_BASE_URL}/parsepage",
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params={"pageid": pageid, "title": title},
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timeout=REQUEST_TIMEOUT
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)
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resp.raise_for_status()
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wikitext = resp.json().get("wikitext", "")
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wikicode = mwparserfromhell.parse(wikitext)
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raw: Dict[str, Any] = {"title": title, "source": "MediaWiki", "pageid": pageid}
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for tpl in wikicode.filter_templates():
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name = str(tpl.name).strip()
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if name == "ÜbungInfoBox":
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for p in tpl.params:
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raw[str(p.name).strip()] = str(p.value).strip()
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elif name == "Übungsbeschreibung":
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for p in tpl.params:
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raw[str(p.name).strip()] = str(p.value).strip()
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elif name == "SkillDevelopment":
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raw.setdefault("capabilities", [])
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try:
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cap = str(tpl.get("PrimaryCapability").value).strip()
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except Exception:
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cap = ""
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try:
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lvl = int(str(tpl.get("CapabilityLevel").value).strip())
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except Exception:
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lvl = 0
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if cap:
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raw["capabilities"].append({"capability": cap, "level": lvl})
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raw["wikitext"] = wikitext
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return raw
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# ---- Fingerprint-Unterstützung ----
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def _normalize(v: Any) -> str:
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if v is None:
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return ""
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if isinstance(v, (list, tuple)):
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return ",".join(_normalize(x) for x in v)
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if isinstance(v, dict):
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return json.dumps(v, sort_keys=True, ensure_ascii=False)
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return str(v).strip()
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def compute_fingerprint(payload: Dict[str, Any]) -> str:
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"""sha256 über Kernfelder: title, summary, execution, notes, duration_minutes, capabilities, keywords"""
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fields = [
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payload.get("title", ""),
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payload.get("summary", ""),
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payload.get("execution", ""),
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payload.get("notes", ""),
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payload.get("duration_minutes", 0),
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payload.get("capabilities", {}),
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payload.get("keywords", []),
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]
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base = "|".join(_normalize(f) for f in fields)
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return hashlib.sha256(base.encode("utf-8")).hexdigest()
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def build_payload(raw: Dict[str, Any], fullurl: str, category: str, *, mutate: bool = False) -> Dict[str, Any]:
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# Exercise.capabilities erwartet Dict[str,int]
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caps_list = raw.get("capabilities", [])
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capabilities = {}
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for c in caps_list:
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cap = c.get("capability")
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lvl = c.get("level")
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if isinstance(cap, str) and cap:
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try:
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capabilities[cap] = int(lvl)
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except Exception:
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pass
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# Defaults/Fallbacks
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duration = 0.0
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try:
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duration = float(raw.get("Dauer", 0) or 0)
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except Exception:
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duration = 0.0
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keywords = []
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kw_raw = raw.get("Schlüsselworte", "")
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if isinstance(kw_raw, str):
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keywords = [k.strip() for k in kw_raw.split(",") if k.strip()]
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equipment = []
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eq_raw = raw.get("equipment", [])
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if isinstance(eq_raw, str):
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equipment = [e.strip() for e in eq_raw.split(",") if e.strip()]
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elif isinstance(eq_raw, list):
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equipment = [str(e).strip() for e in eq_raw if str(e).strip()]
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notes = raw.get("Hinweise", "") or ""
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if mutate:
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# Für Smoke-Test (3. Lauf) geringfügige Änderung erzeugen
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notes = (notes + " [auto-update]").strip()
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payload: Dict[str, Any] = {
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"title": raw.get("title") or "",
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"summary": raw.get("Summary", "") or "",
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"short_description": raw.get("Summary", "") or "",
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"keywords": keywords,
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"link": fullurl or "",
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"discipline": raw.get("Übungstyp", "") or "",
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"group": raw.get("Gruppengröße", "") or None,
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"age_group": raw.get("Altersgruppe", "") or "",
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"target_group": raw.get("Zielgruppe", "") or "",
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"min_participants": 1,
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"duration_minutes": int(round(duration)),
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"capabilities": capabilities,
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"category": category or "",
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"purpose": raw.get("Ziel", "") or "",
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"execution": raw.get("Durchführung", "") or "",
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"notes": notes,
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"preparation": raw.get("RefMethode", "") or "",
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"method": raw.get("method", "") or "",
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"equipment": equipment,
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"fullurl": fullurl or "",
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"external_id": f"mw:{raw.get('pageid')}",
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"source": "MediaWiki",
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}
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payload["fingerprint"] = compute_fingerprint(payload)
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return payload
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def lookup_by_external_id(external_id: str) -> Tuple[Optional[Dict[str, Any]], Optional[int]]:
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url = f"{EXERCISE_API}/by-external-id"
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try:
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r = requests.get(url, params={"external_id": external_id}, timeout=REQUEST_TIMEOUT)
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if r.status_code == 404:
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return None, 404
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r.raise_for_status()
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return r.json(), r.status_code
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except requests.HTTPError as e:
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return {"error": str(e), "status_code": getattr(e.response, "status_code", None)}, getattr(e.response, "status_code", None)
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except Exception as e:
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return {"error": str(e)}, None
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def upsert_exercise(payload: Dict[str, Any], *, dry_run: bool = False) -> str:
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title = payload.get("title", "<ohne Titel>")
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ext_id = payload.get("external_id")
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fp_new = payload.get("fingerprint")
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found, status = lookup_by_external_id(ext_id)
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action = "create"
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if status == 404 or found is None:
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action = "create"
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elif isinstance(found, dict):
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fp_old = found.get("fingerprint") or found.get("payload", {}).get("fingerprint")
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if fp_old == fp_new:
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action = "skip"
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else:
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action = "update"
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else:
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action = "create"
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if dry_run:
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print(f"[DryRun] {action.upper():6} '{title}' ({ext_id})")
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return action
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if action == "create":
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resp = requests.post(EXERCISE_API, json=payload, timeout=REQUEST_TIMEOUT)
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if resp.status_code == 422:
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print(f"[Create] '{title}' -> FAILED 422:\n{resp.text}")
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try:
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resp.raise_for_status()
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except Exception:
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pass
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else:
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resp.raise_for_status()
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print(f"[Create] '{title}' -> OK")
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elif action == "update":
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payload2 = dict(payload)
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payload2["imported_at"] = time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
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resp = requests.post(EXERCISE_API, json=payload2, timeout=REQUEST_TIMEOUT)
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if resp.status_code == 422:
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print(f"[Update] '{title}' -> FAILED 422:\n{resp.text}")
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try:
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resp.raise_for_status()
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except Exception:
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pass
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else:
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resp.raise_for_status()
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print(f"[Update] '{title}' -> OK")
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else:
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print(f"[Skip] '{title}' (unverändert)")
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return action
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def process_one(title: str, category: str, *, mutate: bool = False, dry_run: bool = False) -> str:
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info = fetch_page_info(title)
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pid = info.get("pageid")
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fullurl = info.get("fullurl") or ""
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if not pid:
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print(f"[Error] pageid für '{title}' nicht gefunden.", file=sys.stderr)
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return "failed"
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raw = parse_exercise(title, pid)
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payload = build_payload(raw, fullurl, category, mutate=mutate)
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return upsert_exercise(payload, dry_run=dry_run)
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def process_all(category: str, *, dry_run: bool = False) -> Dict[str, int]:
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stats = {"created": 0, "updated": 0, "skipped": 0, "failed": 0}
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print(f"[Main] Lade Liste der Übungen aus Kategorie '{category}'…")
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pages = fetch_all_pages(category)
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print(f"[Main] {len(pages)} Seiten gefunden.")
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for title, entry in pages.items():
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try:
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# Regressionsfix: generischer Zugriff auf Mapping‑ähnliche Einträge
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getter = getattr(entry, "get", None)
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if callable(getter):
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pid = getter("pageid")
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fullurl = getter("fullurl")
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else:
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pid = None
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fullurl = None
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if not pid:
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info = fetch_page_info(title)
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pid = info.get("pageid")
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fullurl = fullurl or info.get("fullurl")
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if not pid:
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print(f"[Skip] '{title}' hat keine pageid")
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stats["failed"] += 1
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continue
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raw = parse_exercise(title, pid)
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payload = build_payload(raw, fullurl or "", category)
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act = upsert_exercise(payload, dry_run=dry_run)
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if act == "create":
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stats["created"] += 1
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elif act == "update":
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stats["updated"] += 1
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elif act == "skip":
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stats["skipped"] += 1
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except requests.HTTPError as e:
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code = getattr(e, "response", None).status_code if getattr(e, "response", None) else None
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if code == 404:
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print(f"[Skip] '{title}': page not found (404)")
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stats["failed"] += 1
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else:
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print(f"[Error] '{title}': {e}")
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stats["failed"] += 1
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except Exception as e:
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print(f"[Error] '{title}': {e}")
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stats["failed"] += 1
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return stats
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def run_smoke_test(title: str, category: str) -> None:
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print("\n[SmokeTest] Lauf 1/3: CREATE (Erstimport)")
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act1 = process_one(title, category, mutate=False)
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print("[SmokeTest] Aktion:", act1)
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print("\n[SmokeTest] Lauf 2/3: SKIP (Wiederholung, unverändert)")
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act2 = process_one(title, category, mutate=False)
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print("[SmokeTest] Aktion:", act2)
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print("\n[SmokeTest] Lauf 3/3: UPDATE (simulierte Wiki-Änderung an 'notes')")
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act3 = process_one(title, category, mutate=True)
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print("[SmokeTest] Aktion:", act3)
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print("\n[SmokeTest] Zusammenfassung:")
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print(json.dumps({"run1": act1, "run2": act2, "run3": act3}, ensure_ascii=False, indent=2))
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# ----- Main -----
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def main() -> None:
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parser = argparse.ArgumentParser(description="Import exercises from Wiki to Qdrant (via FastAPI wiki_router)")
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parser.add_argument("--all", action="store_true", help="Alle Übungen importieren (SMW-Ask)")
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parser.add_argument("--title", type=str, default=DEFAULT_TITLE, help="Einzelimport eines Übungstitels")
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parser.add_argument("--category", type=str, default=DEFAULT_CAT, help="Wiki-Kategorie (z.B. 'Übungen')")
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parser.add_argument("--username", type=str, default=os.getenv("WIKI_BOT_USER"), help="Wiki-Login Benutzer (überschreibt .env)")
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parser.add_argument("--password", type=str, default=os.getenv("WIKI_BOT_PASSWORD"), help="Wiki-Login Passwort (überschreibt .env)")
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parser.add_argument("--skip-login", action="store_true", help="Login-Schritt überspringen (falls Session schon aktiv)")
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parser.add_argument("--dry-run", action="store_true", help="Kein Schreiben; nur Entscheidungen (create/update/skip) loggen")
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parser.add_argument("--smoke-test", action="store_true", help="3 Durchläufe (create→skip→update) für --title")
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args = parser.parse_args()
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# Sanity
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wiki_health()
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# Login (sofern nicht explizit übersprungen)
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if not args.skip_login:
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if not args.username or not args.password:
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print("[Login] Fehler: fehlende Credentials. Setze .env (WIKI_BOT_USER/WIKI_BOT_PASSWORD) oder CLI --username/--password.", file=sys.stderr)
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sys.exit(1)
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try:
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wiki_login(args.username, args.password)
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except Exception as e:
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print(str(e), file=sys.stderr)
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sys.exit(1)
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if args.smoke_test:
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run_smoke_test(args.title, args.category)
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return
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if args.all:
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stats = process_all(args.category, dry_run=args.dry_run)
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print("\n[Stats] created={created} updated={updated} skipped={skipped} failed={failed}".format(**stats))
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else:
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print(f"[Main] Import single exercise: {args.title}")
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result = process_one(args.title, args.category, mutate=False, dry_run=args.dry_run)
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print(f"[Result] {result}")
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if __name__ == "__main__":
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main()
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