Lars
76098f5244
- Updated capability level mappings in the backend to reflect new terminology (e.g., "einsteiger" to "basis" and "experte" to "optimierung"). - Refactored the exercise management logic to normalize skill levels using canonical slugs, improving consistency across the application. - Enhanced the ExercisesListPage with additional filtering options for style direction, training type, and target group, along with AI search capabilities. - Incremented application version to 0.7.7 and updated changelog to document these changes.
372 lines
13 KiB
Python
372 lines
13 KiB
Python
"""
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Semantic MediaWiki → Shinkan Field Mapper
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Wandelt SMW-Properties von karatetrainer.net in lokale DB-Felder um.
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Property-Namen wurden via discover_properties() auf echten Wiki-Seiten ermittelt.
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Entdeckte Kategorien:
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Übungen: Kategorie: Übungen (auch "Übungen Karate", "Übungen allgemein")
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Fähigkeiten: Fähigkeitsbeschreibung
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Methoden: Methodenbeschreibung
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"""
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import re
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import logging
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from typing import Optional
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logger = logging.getLogger(__name__)
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# ------------------------------------------------------------------ #
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# CapabilityLevel Integer → benannte Stufen #
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# ------------------------------------------------------------------ #
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# Mapping: SMW-Integer → Shinkan-Stufenname
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CAPABILITY_LEVEL_MAP = {
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"1": "basis",
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"2": "grundlagen",
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"3": "aufbau",
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"4": "fortgeschritten",
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"5": "optimierung",
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}
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# ------------------------------------------------------------------ #
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# SMW Property → lokales Feld #
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# Echte Namen von karatetrainer.net (via discover_properties) #
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# ------------------------------------------------------------------ #
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# Übungen (exercises)
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EXERCISE_PROPERTY_MAP = {
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# Kern-Felder
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"Übungsbezeichnung": "title_override", # Übungsname (bevorzugt ggü. Seitentitel)
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"Ziel": "goal",
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"Durchführung": "execution",
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"Summary": "summary",
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"Hinweise": "trainer_notes",
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"Plandauer": "duration_raw", # Zahl in Minuten z.B. "10"
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"Gruppengröße": "group_size_raw", # Zahl z.B. "2"
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"Hilfsmittel": "equipment_raw", # Komma-Liste / einzelner Wert
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"Schlüsselworte": "keywords_raw", # Keywords (nicht direkt in DB, für spätere Tags)
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# Katalog-Felder (Name → ID Lookup)
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"Übungstyp": "focus_area_names", # "Karate" → focus_area
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"Zielgruppe": "target_group_names",
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"Altersgruppe": "age_group_names",
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"Trainingsmethode": "method_names", # Wiki-Seitenname z.B. "Plyometrisches_Training"
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# Fähigkeiten (als Namen + Level)
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"PrimaryCapability": "skill_names", # Skill-Namen (können mehrere sein)
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"CapabilityLevel": "skill_levels_raw", # Integer-Levels ["3", "2"] → aufbau, grundlagen
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# Weitere Felder (optional)
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"Graduierung": "graduierung", # "0 - Anfänger" (zukünftige Nutzung)
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"Lernstufe": "lernstufe", # "Lernstufe_1_-_Erlernen_und_Festigen"
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}
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# Fähigkeiten (skills) – Kategorie: Fähigkeitsbeschreibung
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SKILL_PROPERTY_MAP = {
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"Summary": "description",
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"KarateRelevanz": "karate_relevance", # Wird in description ergänzt
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"RelevanzLevel": "relevance_level", # 1-3, nicht direkt in skills DB
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}
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# Trainingsmethoden – Kategorie: Methodenbeschreibung
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METHOD_PROPERTY_MAP = {
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"Summary": "description",
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"Kurzbezeichnung": "code", # Abkürzung z.B. "DM"
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"KarateRelevanz": "karate_relevance",
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"PrimaryCapability": "skill_names", # Verknüpfte Fähigkeiten
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}
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# ------------------------------------------------------------------ #
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# Wikitext → Plaintext #
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# ------------------------------------------------------------------ #
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def wikitext_to_plaintext(wikitext: str) -> str:
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"""Entfernt Wikitext-Formatierungen und gibt lesbaren Plaintext zurück."""
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text = wikitext
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# Externe Links: [https://example.com Text] → Text
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text = re.sub(r'\[https?://\S+\s+([^\]]+)\]', r'\1', text)
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# Interne Links mit Alias: [[Link|Text]] → Text
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text = re.sub(r'\[\[([^|\]]+)\|([^\]]+)\]\]', r'\2', text)
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# Interne Links ohne Alias: [[Link]] → Link (Unterstriche → Leerzeichen)
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text = re.sub(r'\[\[([^\]]+)\]\]', lambda m: m.group(1).replace('_', ' '), text)
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# Templates entfernen (einzeilig)
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text = re.sub(r'\{\{[^}]+\}\}', '', text)
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# Fettdruck und Kursiv
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text = re.sub(r"'''(.+?)'''", r'\1', text)
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text = re.sub(r"''(.+?)''", r'\1', text)
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# HTML-Tags entfernen (inkl. <br>)
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text = re.sub(r'<br\s*/?>', '\n', text, flags=re.IGNORECASE)
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text = re.sub(r'<[^>]+>', '', text)
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# Überschriften
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text = re.sub(r'={2,6}\s*(.+?)\s*={2,6}', r'\n\1\n', text)
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# Aufzählungszeichen normalisieren
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text = re.sub(r'^[*#:;]+\s*', '- ', text, flags=re.MULTILINE)
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# Mehrfache Leerzeilen normalisieren
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text = re.sub(r'\n{3,}', '\n\n', text)
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return text.strip()
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def wiki_name_to_label(wiki_name: str) -> str:
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"""Wandelt Wiki-Seitennamen in lesbare Labels um: Plyometrisches_Training → Plyometrisches Training"""
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return wiki_name.replace('_', ' ').strip()
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# ------------------------------------------------------------------ #
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# Parsing-Hilfsfunktionen #
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# ------------------------------------------------------------------ #
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def parse_duration(raw: str) -> tuple[Optional[int], Optional[int]]:
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"""
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"10" → (10, 10) (Plandauer ist immer eine einzelne Zahl in Minuten)
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"10-15" → (10, 15)
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"""
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if not raw:
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return None, None
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numbers = re.findall(r'\d+', raw)
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if not numbers:
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return None, None
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if len(numbers) == 1:
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val = int(numbers[0])
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return val, val
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return int(numbers[0]), int(numbers[1])
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def parse_group_size(raw: str) -> tuple[Optional[int], Optional[int]]:
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"""
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"2" → (2, 2) (Gruppengröße ist immer eine einzelne Zahl)
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"""
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if not raw:
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return None, None
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numbers = re.findall(r'\d+', raw)
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if not numbers:
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return None, None
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val = int(numbers[0])
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if len(numbers) == 1:
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return val, None # Minimum, kein Maximum angegeben
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return int(numbers[0]), int(numbers[1])
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def parse_equipment(raw: list[str]) -> list[str]:
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"""Normalisiert Equipment-Liste: ["Ausdruck"] oder ["Gewicht"] → bereinigt"""
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result = []
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for item in raw:
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for part in re.split(r'[,;/]', item):
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cleaned = wiki_name_to_label(part.strip())
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if cleaned:
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result.append(cleaned)
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return result
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def map_capability_level(level_str: str) -> str:
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"""Wandelt Integer-Level in kanonischen Stufen-Slug: "3" → "aufbau" """
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return CAPABILITY_LEVEL_MAP.get(level_str.strip(), "basis")
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# ------------------------------------------------------------------ #
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# Haupt-Mapping-Funktion #
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# ------------------------------------------------------------------ #
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def map_wiki_to_exercise(
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page_title: str,
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wiki_page_id: Optional[int],
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smw_props: dict,
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) -> dict:
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"""
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Wandelt SMW-Properties einer Wiki-Seite in ein Exercise-Dict um.
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Args:
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page_title: Titel der Wiki-Seite (Fallback für title)
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wiki_page_id: Interne MediaWiki-Seiten-ID
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smw_props: {property_name: [value, ...]} aus SmwClient.browse_subject()
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Returns:
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Dict mit gemappten Feldern + Katalog-Listen für ID-Lookup.
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"""
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mapped: dict = {
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"title": page_title,
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"wiki_page_id": wiki_page_id,
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# Tracking
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"import_source": "mediawiki",
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"import_id": page_title,
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# Defaults
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"visibility": "private",
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"status": "draft",
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# Katalog-Referenzen (Name → ID-Lookup erfolgt im Router)
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"focus_area_names": [],
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"target_group_names": [],
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"age_group_names": [],
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"skill_names": [],
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"skill_levels_raw": [], # Integer-Strings ["3", "2"]
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"method_names": [],
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# Equipment
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"equipment": [],
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# Warnungen für unbekannte Katalog-Werte
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"warnings": [],
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}
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for prop_name, values in smw_props.items():
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if not values:
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continue
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target = EXERCISE_PROPERTY_MAP.get(prop_name)
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if not target:
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continue
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# Ersten Wert oder ganzes Array
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first_value = values[0] if isinstance(values, list) else values
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if target == "title_override":
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mapped["title"] = wiki_name_to_label(first_value)
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elif target in ("goal", "execution", "summary", "trainer_notes"):
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mapped[target] = wikitext_to_plaintext(first_value)
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elif target == "duration_raw":
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dur_min, dur_max = parse_duration(first_value)
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mapped["duration_min"] = dur_min
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mapped["duration_max"] = dur_max
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elif target == "group_size_raw":
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gs_min, gs_max = parse_group_size(first_value)
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mapped["group_size_min"] = gs_min
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mapped["group_size_max"] = gs_max
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elif target == "equipment_raw":
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mapped["equipment"] = parse_equipment(values if isinstance(values, list) else [values])
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elif target == "keywords_raw":
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# Keywords für spätere Tag-Implementierung speichern
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mapped["keywords"] = [wiki_name_to_label(v) for v in (values if isinstance(values, list) else [values])]
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elif target == "focus_area_names":
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mapped["focus_area_names"] = [wiki_name_to_label(v) for v in (values if isinstance(values, list) else [values])]
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elif target == "target_group_names":
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mapped["target_group_names"] = [wiki_name_to_label(v) for v in (values if isinstance(values, list) else [values])]
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elif target == "age_group_names":
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mapped["age_group_names"] = [wiki_name_to_label(v) for v in (values if isinstance(values, list) else [values])]
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elif target == "method_names":
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mapped["method_names"] = [wiki_name_to_label(v) for v in (values if isinstance(values, list) else [values])]
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elif target == "skill_names":
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mapped["skill_names"] = [wiki_name_to_label(v) for v in (values if isinstance(values, list) else [values])]
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elif target == "skill_levels_raw":
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mapped["skill_levels_raw"] = list(values) if isinstance(values, list) else [values]
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return mapped
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def build_skill_assignments(mapped: dict) -> list[dict]:
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"""
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Erstellt Skill-Zuordnungen aus PrimaryCapability + CapabilityLevel.
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CapabilityLevel [3, 2] korrespondiert mit PrimaryCapability [Schnellkraft, Schnelligkeitsausdauer]
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→ target_level als kanonischer Slug (basis … optimierung), DB VARCHAR.
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"""
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skills = mapped.get("skill_names", [])
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levels = mapped.get("skill_levels_raw", [])
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assignments = []
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for idx, skill_name in enumerate(skills):
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level_str = levels[idx] if idx < len(levels) else "1"
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try:
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raw = str(level_str).strip()
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except (TypeError, AttributeError):
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raw = "1"
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target_slug = map_capability_level(raw) if raw else "basis"
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assignments.append({
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"skill_name": skill_name,
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"target_level": target_slug,
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"required_level": None,
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"intensity": None,
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"is_primary": idx == 0,
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})
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return assignments
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def map_wiki_to_skill(
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page_title: str,
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wiki_page_id: Optional[int],
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smw_props: dict,
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) -> dict:
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"""Wandelt SMW-Properties einer Fähigkeitsbeschreibung-Seite in ein Skill-Dict um."""
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mapped = {
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"name": page_title,
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"wiki_page_id": wiki_page_id,
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"import_source": "mediawiki",
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"import_id": page_title,
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"warnings": [],
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}
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description_parts = []
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for prop_name, values in smw_props.items():
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if not values:
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continue
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target = SKILL_PROPERTY_MAP.get(prop_name)
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if not target:
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continue
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first_value = values[0] if isinstance(values, list) else values
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if target == "description":
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description_parts.insert(0, wikitext_to_plaintext(first_value))
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elif target == "karate_relevance":
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rel = wikitext_to_plaintext(first_value)
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description_parts.append(f"\nKarate-Relevanz: {rel}")
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if description_parts:
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mapped["description"] = "\n".join(description_parts).strip()
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return mapped
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def map_wiki_to_method(
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page_title: str,
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wiki_page_id: Optional[int],
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smw_props: dict,
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) -> dict:
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"""Wandelt SMW-Properties einer Methodenbeschreibung-Seite in ein Method-Dict um."""
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mapped = {
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"name": page_title,
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"wiki_page_id": wiki_page_id,
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"import_source": "mediawiki",
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"import_id": page_title,
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"warnings": [],
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}
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description_parts = []
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for prop_name, values in smw_props.items():
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if not values:
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continue
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target = METHOD_PROPERTY_MAP.get(prop_name)
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if not target:
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continue
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first_value = values[0] if isinstance(values, list) else values
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if target == "description":
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description_parts.insert(0, wikitext_to_plaintext(first_value))
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elif target == "code":
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mapped["code"] = first_value.strip()
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elif target == "karate_relevance":
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rel = wikitext_to_plaintext(first_value)
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description_parts.append(f"\nKarate-Relevanz: {rel}")
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if description_parts:
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mapped["description"] = "\n".join(description_parts).strip()
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return mapped
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