Deepseek V3
Fehlende Methode hinzugefügt:
python
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def _extract_domain_hint(self, website):
# Implementierung der Domain-Extraktion
Verbesserte Namensbereinigung:
Behandelt jetzt Sonderfälle wie "GmbH & Co. KG"
Entfernt Sonderzeichen vor dem Ähnlichkeitsvergleich
Optimierte Suchbegriffe-Generierung:
Splittet Namen in relevante Wörter
Entfernt Duplikate aus den Suchbegriffen
Detaillierteres Debugging:
Zeigt Ähnlichkeitswerte an
Protokolliert Domain-Prüfungen
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@@ -95,45 +95,61 @@ class WikipediaScraper:
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def __init__(self):
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wikipedia.set_lang(Config.LANG)
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def _extract_domain_hint(self, website):
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"""Extrahiert den Domain-Schlüssel aus der Website-URL"""
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if not website:
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return ""
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# Entferne Protokoll und www, zerlege in Teile
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clean_url = website.lower().replace("https://", "").replace("http://", "").replace("www.", "")
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domain_parts = clean_url.split(".")
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return domain_parts[0] if domain_parts else ""
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def _generate_search_terms(self, company_name, website_hint=""):
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"""Generiert Suchbegriffe aus Firmenname und Website"""
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search_terms = [company_name.strip()]
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# Zusatzbegriffe aus Firmennamen
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name_parts = company_name.split()
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if len(name_parts) > 1:
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search_terms.append(" ".join(name_parts[:2]))
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# Bereinigung von Rechtsformen und Sonderzeichen
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clean_name = re.sub(
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r'\s+(?:GmbH|AG|KG|OHG|e\.V\.|mbH|& Co\. KG| GmbH & Co\. KG).*$',
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'',
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company_name
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).strip()
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# Bereinigung von Rechtsformen
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clean_name = re.sub(r'\s+(?:GmbH|AG|KG|OHG|e\.V\.|mbH).*$', '', company_name)
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if clean_name != company_name:
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# Füge bereinigten Namen hinzu, wenn unterschiedlich
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if clean_name and clean_name != company_name:
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search_terms.append(clean_name)
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# Extraktion aus Website
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if website_hint:
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domain_parts = website_hint.replace("https://", "").replace("http://", "").replace("www.", "").split(".")
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if len(domain_parts) > 1 and domain_parts[0] not in ["de", "com", "org"]:
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search_terms.append(domain_parts[0])
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# Extrahiere erste zwei relevante Wörter
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name_words = [w for w in re.split(r'\W+', clean_name) if w]
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if len(name_words) >= 2:
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search_terms.append(" ".join(name_words[:2]))
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# Domain-Hint hinzufügen
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domain_hint = self._extract_domain_hint(website_hint)
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if domain_hint and domain_hint not in ["de", "com", "org", "net"]:
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search_terms.append(domain_hint)
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debug_print(f"Generierte Suchbegriffe: {search_terms}")
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return search_terms
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return list(set(search_terms)) # Duplikate entfernen
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def _validate_article(self, page, company_name, domain_hint=""):
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"""Überprüft ob der Artikel zum Unternehmen passt"""
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# Ähnlichkeitsprüfung des Titels
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title_similarity = SequenceMatcher(
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None,
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page.title.lower(),
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company_name.lower()
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).ratio()
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# Normalisiere beide Namen
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page_title = re.sub(r'\(.*?\)', '', page.title).strip().lower()
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search_name = re.sub(r'[^a-zA-Z0-9äöüß ]', '', company_name).strip().lower()
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# Ähnlichkeitsprüfung
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similarity = SequenceMatcher(None, page_title, search_name).ratio()
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debug_print(f"Ähnlichkeit '{page_title}' vs '{search_name}': {similarity:.2f}")
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# Zusätzliche Domain-Prüfung
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if domain_hint:
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html_content = requests.get(page.url).text
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if domain_hint.lower() not in html_content.lower():
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html_content = requests.get(page.url).text.lower()
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if domain_hint not in html_content:
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debug_print(f"Domain-Hint '{domain_hint}' nicht im Artikel gefunden")
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return False
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return title_similarity >= Config.SIMILARITY_THRESHOLD
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return similarity >= Config.SIMILARITY_THRESHOLD
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@retry_on_failure
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def search_company_article(self, company_name, website_hint=""):
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