Trainer_LLM/scripts/wiki_importer.py

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Module: wiki_importer.py
Beschreibung:
- Importiert Übungen aus dem MediaWiki via FastAPI wiki_router
- Login gegen /import/wiki/login (abschaltbar via --skip-login)
- Titel-Liste via /semantic/pages, Parsing via /parsepage, Info via /info (nur wenn nötig)
- Idempotentes Upsert: external_id="mw:{pageid}", Fingerprint (sha256) über Kernfelder
- Lookup via /exercise/by-external-id, dann create/update/skip inkl. Zählern
- Smoke-Test (--smoke-test): 3 Läufe (create → skip → update)

v2.3.3 – Änderungen ggü. 2.3.2:
- Stabilerer Fingerprint (Kanonisierung & Whitespace-Normalisierung):
  • Titel: _ zu Leerzeichen, Gedankenstriche → Bindestrich
  • summary/execution/notes: Whitespace kollabieren
  • keywords: dedupliziert (case-insensitiv) & sortiert
  • duration_minutes: sicher als int
- Backcompat beim Update-Entscheid: zusätzlich Neu-Berechnung des Fingerprints aus dem gefundenen Payload
  (verhindert False-Positives bei Altbeständen ohne/mit abweichendem Fingerprint)
- Diagnostik: Gründe im Log (not found / unchanged / changed) und Feld-Diff bei Update
- Kein API-/CLI-Bruch
"""

import os
import sys
import argparse
from typing import Dict, Any, Tuple, Optional
from collections.abc import Mapping
import requests
import mwparserfromhell
from dotenv import load_dotenv
import hashlib
import json
import time

# ----- Konfiguration / Defaults -----
load_dotenv()  # .env laden, falls vorhanden

API_BASE_URL   = os.getenv("API_BASE_URL", "http://localhost:8000/import/wiki")  # FastAPI-Wiki-Proxy
EXERCISE_API   = os.getenv("EXERCISE_API_URL", "http://localhost:8000/exercise") # Exercise-Endpoint
DEFAULT_CAT    = os.getenv("WIKI_CATEGORY", "Übungen")
DEFAULT_TITLE  = os.getenv("WIKI_EXERCISE_TITLE", "Affenklatschen")
REQUEST_TIMEOUT = int(os.getenv("REQUEST_TIMEOUT", "60"))

# ---- Hilfsfunktionen für Wiki-Router ----

def wiki_health() -> None:
    r = requests.get(f"{API_BASE_URL}/health", timeout=15)
    r.raise_for_status()
    print("[Sanity] Wiki health OK")


def wiki_login(username: str, password: str) -> None:
    payload = {"username": username, "password": password}
    r = requests.post(f"{API_BASE_URL}/login", json=payload, timeout=30)
    try:
        data = r.json()
    except Exception:
        print(f"[Login] HTTP {r.status_code}: {r.text}")
        r.raise_for_status()
    status = (data or {}).get("status")
    if status != "success":
        msg = (data or {}).get("message", "Login fehlgeschlagen")
        raise RuntimeError(f"[Login] {msg}")
    print("[Login] success")


def fetch_all_pages(category: str) -> Dict[str, Any]:
    resp = requests.get(f"{API_BASE_URL}/semantic/pages", params={"category": category}, timeout=REQUEST_TIMEOUT)
    resp.raise_for_status()
    return resp.json()


def fetch_page_info(title: str) -> Dict[str, Any]:
    r = requests.get(f"{API_BASE_URL}/info", params={"title": title}, timeout=30)
    r.raise_for_status()
    info = r.json()
    return {"pageid": info.get("pageid"), "fullurl": info.get("fullurl")}


def parse_exercise(title: str, pageid: int) -> Dict[str, Any]:
    print(f"[Parse] Lade '{title}' (ID={pageid})")
    resp = requests.get(
        f"{API_BASE_URL}/parsepage",
        params={"pageid": pageid, "title": title},
        timeout=REQUEST_TIMEOUT
    )
    resp.raise_for_status()
    wikitext = resp.json().get("wikitext", "")
    wikicode = mwparserfromhell.parse(wikitext)

    raw: Dict[str, Any] = {"title": title, "source": "MediaWiki", "pageid": pageid}
    for tpl in wikicode.filter_templates():
        name = str(tpl.name).strip()
        if name == "ÜbungInfoBox":
            for p in tpl.params:
                raw[str(p.name).strip()] = str(p.value).strip()
        elif name == "Übungsbeschreibung":
            for p in tpl.params:
                raw[str(p.name).strip()] = str(p.value).strip()
        elif name == "SkillDevelopment":
            raw.setdefault("capabilities", [])
            try:
                cap = str(tpl.get("PrimaryCapability").value).strip()
            except Exception:
                cap = ""
            try:
                lvl = int(str(tpl.get("CapabilityLevel").value).strip())
            except Exception:
                lvl = 0
            if cap:
                raw["capabilities"].append({"capability": cap, "level": lvl})
    raw["wikitext"] = wikitext
    return raw


# ---- Fingerprint-Unterstützung (stabil) ----

def _normalize(v: Any) -> str:
    if v is None:
        return ""
    if isinstance(v, (list, tuple)):
        return ",".join(_normalize(x) for x in v)
    if isinstance(v, dict):
        return json.dumps(v, sort_keys=True, ensure_ascii=False)
    return str(v).strip()


def _norm_text(s: str) -> str:
    if s is None:
        return ""
    s = str(s).replace("\u00a0", " ")  # NBSP → Space
    s = s.strip()
    s = " ".join(s.split())  # Collapse whitespace
    return s


def _canon_title(t: str) -> str:
    t = (t or "").strip().replace("_", " ")
    # Gedankenstriche vereinheitlichen
    return t.replace("–", "-").replace("—", "-")


def compute_fingerprint(payload: Dict[str, Any]) -> str:
    # keywords stabilisieren: trim, dedupe (case-insensitiv), sort
    kws = payload.get("keywords") or []
    kws = sorted({(k or "").strip() for k in kws if (k or "").strip()}, key=str.casefold)

    # dauer als int
    dur = payload.get("duration_minutes") or 0
    try:
        dur = int(round(float(dur)))
    except Exception:
        dur = 0

    fields = [
        _canon_title(payload.get("title", "")),
        _norm_text(payload.get("summary", "")),
        _norm_text(payload.get("execution", "")),
        _norm_text(payload.get("notes", "")),
        dur,
        payload.get("capabilities", {}),
        kws,
    ]
    base = "|".join(_normalize(f) for f in fields)
    return hashlib.sha256(base.encode("utf-8")).hexdigest()


def build_payload(raw: Dict[str, Any], fullurl: str, category: str, *, mutate: bool = False) -> Dict[str, Any]:
    # Exercise.capabilities erwartet Dict[str,int]
    caps_list = raw.get("capabilities", [])
    capabilities = {}
    for c in caps_list:
        cap = c.get("capability")
        lvl = c.get("level")
        if isinstance(cap, str) and cap:
            try:
                capabilities[cap] = int(lvl)
            except Exception:
                pass

    # Defaults/Fallbacks
    try:
        duration = float(raw.get("Dauer", 0) or 0)
    except Exception:
        duration = 0.0

    keywords = []
    kw_raw = raw.get("Schlüsselworte", "")
    if isinstance(kw_raw, str):
        keywords = [k.strip() for k in kw_raw.split(",") if k.strip()]

    equipment = []
    eq_raw = raw.get("equipment", [])
    if isinstance(eq_raw, str):
        equipment = [e.strip() for e in eq_raw.split(",") if e.strip()]
    elif isinstance(eq_raw, list):
        equipment = [str(e).strip() for e in eq_raw if str(e).strip()]

    notes = raw.get("Hinweise", "") or ""
    if mutate:
        notes = (notes + " [auto-update]").strip()

    payload: Dict[str, Any] = {
        "title": raw.get("title") or "",
        "summary": raw.get("Summary", "") or "",
        "short_description": raw.get("Summary", "") or "",
        "keywords": keywords,
        "link": fullurl or "",
        "discipline": raw.get("Übungstyp", "") or "",
        "group": raw.get("Gruppengröße", "") or None,
        "age_group": raw.get("Altersgruppe", "") or "",
        "target_group": raw.get("Zielgruppe", "") or "",
        "min_participants": 1,
        "duration_minutes": int(round(duration)),
        "capabilities": capabilities,
        "category": category or "",
        "purpose": raw.get("Ziel", "") or "",
        "execution": raw.get("Durchführung", "") or "",
        "notes": notes,
        "preparation": raw.get("RefMethode", "") or "",
        "method": raw.get("method", "") or "",
        "equipment": equipment,
        "fullurl": fullurl or "",
        "external_id": f"mw:{raw.get('pageid')}",
        "source": "MediaWiki",
    }
    payload["fingerprint"] = compute_fingerprint(payload)
    return payload


def lookup_by_external_id(external_id: str) -> Tuple[Optional[Dict[str, Any]], Optional[int]]:
    url = f"{EXERCISE_API}/by-external-id"
    try:
        r = requests.get(url, params={"external_id": external_id}, timeout=REQUEST_TIMEOUT)
        if r.status_code == 404:
            return None, 404
        r.raise_for_status()
        return r.json(), r.status_code
    except requests.HTTPError as e:
        return {"error": str(e), "status_code": getattr(e.response, "status_code", None)}, getattr(e.response, "status_code", None)
    except Exception as e:
        return {"error": str(e)}, None


def _payload_subset_for_fp(p: Dict[str, Any]) -> Dict[str, Any]:
    return {
        "title": p.get("title"),
        "summary": p.get("summary"),
        "execution": p.get("execution"),
        "notes": p.get("notes"),
        "duration_minutes": p.get("duration_minutes"),
        "capabilities": p.get("capabilities") or {},
        "keywords": p.get("keywords") or [],
    }


def upsert_exercise(payload: Dict[str, Any], *, dry_run: bool = False) -> str:
    title = payload.get("title", "<ohne Titel>")
    ext_id = payload.get("external_id")
    fp_new = payload.get("fingerprint")

    found, status = lookup_by_external_id(ext_id)

    action = "create"
    reason = "not found (lookup 404)"
    found_payload = {}

    if not (status == 404 or found is None):
        if isinstance(found, dict):
            found_payload = found.get("payload", found)
            fp_old_stored = found.get("fingerprint") or found_payload.get("fingerprint")
            fp_old_recalc = compute_fingerprint(_payload_subset_for_fp(found_payload))
            if fp_new == fp_old_stored or fp_new == fp_old_recalc:
                action, reason = "skip", "fingerprint unchanged"
            else:
                action, reason = "update", "fingerprint changed"
        else:
            action, reason = "create", "unexpected lookup type"

    if dry_run:
        print(f"[DryRun] {action.upper():6} '{title}' ({ext_id}) – {reason}")
        if action == "update":
            _print_diff(found_payload, payload)
        return action

    if action == "create":
        resp = requests.post(EXERCISE_API, json=payload, timeout=REQUEST_TIMEOUT)
        if resp.status_code == 422:
            print(f"[Create] '{title}' -> FAILED 422:\n{resp.text}")
            try:
                resp.raise_for_status()
            except Exception:
                pass
        else:
            resp.raise_for_status()
            print(f"[Create] '{title}' – {reason} -> OK")
    elif action == "update":
        payload2 = dict(payload)
        payload2["imported_at"] = time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime())
        resp = requests.post(EXERCISE_API, json=payload2, timeout=REQUEST_TIMEOUT)
        if resp.status_code == 422:
            print(f"[Update] '{title}' -> FAILED 422:\n{resp.text}")
            try:
                resp.raise_for_status()
            except Exception:
                pass
        else:
            resp.raise_for_status()
            print(f"[Update] '{title}' – {reason} -> OK")
            _print_diff(found_payload, payload)
    else:
        print(f"[Skip]   '{title}' – {reason}")
    return action


def _print_diff(before: Dict[str, Any], after: Dict[str, Any]) -> None:
    """Kleines Feld-Diff für die Hash-Felder (Diagnose)."""
    keys = ["title","summary","execution","notes","duration_minutes","capabilities","keywords"]
    b = {k: before.get(k) for k in keys}
    a = {k: after.get(k)  for k in keys}
    # für bessere Lesbarkeit normalisieren wir die Textfelder
    b_norm = {
        "title": _canon_title(b.get("title")),
        "summary": _norm_text(b.get("summary")),
        "execution": _norm_text(b.get("execution")),
        "notes": _norm_text(b.get("notes")),
        "duration_minutes": b.get("duration_minutes"),
        "capabilities": b.get("capabilities"),
        "keywords": sorted({(k or "").strip() for k in (b.get("keywords") or [])}, key=str.casefold),
    }
    a_norm = {
        "title": _canon_title(a.get("title")),
        "summary": _norm_text(a.get("summary")),
        "execution": _norm_text(a.get("execution")),
        "notes": _norm_text(a.get("notes")),
        "duration_minutes": a.get("duration_minutes"),
        "capabilities": a.get("capabilities"),
        "keywords": sorted({(k or "").strip() for k in (a.get("keywords") or [])}, key=str.casefold),
    }
    diff = {k: (b_norm[k], a_norm[k]) for k in keys if b_norm.get(k) != a_norm.get(k)}
    if diff:
        print("[Diff] changes:", json.dumps(diff, ensure_ascii=False))
    else:
        print("[Diff] (none in hash fields)")


# ----- Orchestrierung -----

def process_one(title: str, category: str, *, mutate: bool = False, dry_run: bool = False) -> str:
    info = fetch_page_info(title)
    pid = info.get("pageid")
    fullurl = info.get("fullurl") or ""
    if not pid:
        print(f"[Error] pageid für '{title}' nicht gefunden.", file=sys.stderr)
        return "failed"
    raw = parse_exercise(title, pid)
    payload = build_payload(raw, fullurl, category, mutate=mutate)
    return upsert_exercise(payload, dry_run=dry_run)


def process_all(category: str, *, dry_run: bool = False) -> Dict[str, int]:
    stats = {"created": 0, "updated": 0, "skipped": 0, "failed": 0}
    print(f"[Main] Lade Liste der Übungen aus Kategorie '{category}'…")
    pages = fetch_all_pages(category)
    print(f"[Main] {len(pages)} Seiten gefunden.")

    for title, entry in pages.items():
        try:
            getter = getattr(entry, "get", None)
            if callable(getter):
                pid = getter("pageid")
                fullurl = getter("fullurl")
            else:
                pid = None
                fullurl = None

            if not pid:
                info = fetch_page_info(title)
                pid = info.get("pageid")
                fullurl = fullurl or info.get("fullurl")
            if not pid:
                print(f"[Skip] '{title}' hat keine pageid")
                stats["failed"] += 1
                continue
            raw = parse_exercise(title, pid)
            payload = build_payload(raw, fullurl or "", category)
            act = upsert_exercise(payload, dry_run=dry_run)
            if act == "create":
                stats["created"] += 1
            elif act == "update":
                stats["updated"] += 1
            elif act == "skip":
                stats["skipped"] += 1
        except requests.HTTPError as e:
            code = getattr(e, "response", None).status_code if getattr(e, "response", None) else None
            if code == 404:
                print(f"[Skip] '{title}': page not found (404)")
                stats["failed"] += 1
            else:
                print(f"[Error] '{title}': {e}")
                stats["failed"] += 1
        except Exception as e:
            print(f"[Error] '{title}': {e}")
            stats["failed"] += 1
    return stats


def run_smoke_test(title: str, category: str) -> None:
    print("\n[SmokeTest] Lauf 1/3: CREATE (Erstimport)")
    act1 = process_one(title, category, mutate=False)
    print("[SmokeTest] Aktion:", act1)

    print("\n[SmokeTest] Lauf 2/3: SKIP (Wiederholung, unverändert)")
    act2 = process_one(title, category, mutate=False)
    print("[SmokeTest] Aktion:", act2)

    print("\n[SmokeTest] Lauf 3/3: UPDATE (simulierte Wiki-Änderung an 'notes')")
    act3 = process_one(title, category, mutate=True)
    print("[SmokeTest] Aktion:", act3)

    print("\n[SmokeTest] Zusammenfassung:")
    print(json.dumps({"run1": act1, "run2": act2, "run3": act3}, ensure_ascii=False, indent=2))


# ----- Main -----

def main() -> None:
    parser = argparse.ArgumentParser(description="Import exercises from Wiki to Qdrant (via FastAPI wiki_router)")
    parser.add_argument("--all", action="store_true", help="Alle Übungen importieren (SMW-Ask)")
    parser.add_argument("--title", type=str, default=DEFAULT_TITLE, help="Einzelimport eines Übungstitels")
    parser.add_argument("--category", type=str, default=DEFAULT_CAT, help="Wiki-Kategorie (z.B. 'Übungen')")
    parser.add_argument("--username", type=str, default=os.getenv("WIKI_BOT_USER"), help="Wiki-Login Benutzer (überschreibt .env)")
    parser.add_argument("--password", type=str, default=os.getenv("WIKI_BOT_PASSWORD"), help="Wiki-Login Passwort (überschreibt .env)")
    parser.add_argument("--skip-login", action="store_true", help="Login-Schritt überspringen (falls Session schon aktiv)")
    parser.add_argument("--dry-run", action="store_true", help="Kein Schreiben; nur Entscheidungen (create/update/skip) + Gründe loggen")
    parser.add_argument("--smoke-test", action="store_true", help="3 Durchläufe (create→skip→update) für --title")
    args = parser.parse_args()

    # Sanity
    wiki_health()

    # Login (sofern nicht explizit übersprungen)
    if not args.skip_login:
        if not args.username or not args.password:
            print("[Login] Fehler: fehlende Credentials. Setze .env (WIKI_BOT_USER/WIKI_BOT_PASSWORD) oder CLI --username/--password.", file=sys.stderr)
            sys.exit(1)
        try:
            wiki_login(args.username, args.password)
        except Exception as e:
            print(str(e), file=sys.stderr)
            sys.exit(1)

    if args.smoke_test:
        run_smoke_test(args.title, args.category)
        return

    if args.all:
        stats = process_all(args.category, dry_run=args.dry_run)
        print("\n[Stats] created={created} updated={updated} skipped={skipped} failed={failed}".format(**stats))
    else:
        print(f"[Main] Import single exercise: {args.title}")
        result = process_one(args.title, args.category, mutate=False, dry_run=args.dry_run)
        print(f"[Result] {result}")


if __name__ == "__main__":
    main()