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data_processor.py aktualisiert

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Floke
2025-07-20 08:47:54 +00:00
parent 1fb722ac56
commit 8684db60ce
1 changed files with 105 additions and 99 deletions
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data_processor.py
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@@ -2070,114 +2070,123 @@ class DataProcessor:
} }
def process_website_scraping_batch(self, start_sheet_row=None, end_sheet_row=None, limit=None): def process_website_scraping_batch(self, start_sheet_row=None, end_sheet_row=None, limit=None):
""" """
Stabiler und robuster Batch-Prozess für Website-Scraping. Batch-Prozess NUR für Website-Scraping (Rohtext). Basiert auf der
Führt Scraping, Meta-Extraktion und Zusammenfassung in einem parallelen Lauf aus. bewährten Logik aus v1.7.9, angepasst an die neue modulare Struktur und fehlerbereinigt.
FINALE, GETESTETE VERSION.
""" """
self.logger.info(f"Starte Website-Scraping & Summarizing (Batch). Limit: {limit or 'Unbegrenzt'}") self.logger.info(f"Starte Website-Scraping (Batch). Bereich: {start_sheet_row or 'Start'}-{end_sheet_row or 'Ende'}, Limit: {limit or 'Unbegrenzt'}")
# --- 1. Tasks sammeln --- # --- Daten laden und Startzeile ermitteln ---
if start_sheet_row is None: if start_sheet_row is None:
start_data_idx = self.sheet_handler.get_start_row_index("Website Scrape Timestamp") self.logger.info("Automatische Ermittlung der Startzeile basierend auf leeren Timestamp...")
if start_data_idx == -1: return start_data_idx = self.sheet_handler.get_start_row_index(check_column_key="Website Scrape Timestamp")
if start_data_idx == -1:
self.logger.error("FEHLER bei automatischer Ermittlung der Startzeile. Breche Batch ab.")
return
start_sheet_row = start_data_idx + self.sheet_handler._header_rows + 1 start_sheet_row = start_data_idx + self.sheet_handler._header_rows + 1
self.logger.info(f"Automatisch ermittelte Startzeile: {start_sheet_row}")
if not self.sheet_handler.load_data(): return if not self.sheet_handler.load_data():
all_data = self.sheet_handler.get_all_data_with_headers() self.logger.error("FEHLER beim Laden der Daten für Batch-Verarbeitung.")
tasks = []
for i in range(start_sheet_row - 1, len(all_data)):
if limit is not None and len(tasks) >= limit: break
row_data = all_data[i]
# VERWENDET IHRE EXAKTE LOGIK:
if self._needs_website_processing(row_data, force_reeval=False):
tasks.append({
'row_num': i + 1,
'company_name': self._get_cell_value_safe(row_data, "CRM Name"),
'url': self._get_cell_value_safe(row_data, "CRM Website")
})
if not tasks:
self.logger.info("Keine Zeilen gefunden, die Website-Verarbeitung erfordern.")
return return
# --- 2. Worker-Funktion definieren --- all_data = self.sheet_handler.get_all_data_with_headers()
def _scrape_worker(task): header_rows = self.sheet_handler._header_rows
"""Interne Worker-Funktion. Gibt IMMER ein Dictionary zurück.""" total_sheet_rows = len(all_data)
company_name = task['company_name'] effective_end_row = end_sheet_row if end_sheet_row is not None else total_sheet_rows
website_url = task['url']
result = {'raw_text': 'k.A.', 'meta_text': 'k.A.', 'summary': 'k.A.', 'url_pruefstatus': 'URL_UNPROCESSED', 'final_url': website_url} self.logger.info(f"Verarbeitungsbereich: Sheet-Zeilen {start_sheet_row} bis {effective_end_row}.")
if start_sheet_row > effective_end_row:
self.logger.info("Start liegt nach dem Ende. Keine Zeilen zu verarbeiten.")
return
try: # --- Indizes und Buchstaben ---
if not website_url or website_url.lower() == 'k.a.': rohtext_col_letter = self.sheet_handler._get_col_letter(get_col_idx("Website Rohtext") + 1)
found_url = serp_website_lookup(company_name) version_col_letter = self.sheet_handler._get_col_letter(get_col_idx("Version") + 1)
if found_url and 'k.a.' not in found_url.lower(): timestamp_col_letter = self.sheet_handler._get_col_letter(get_col_idx("Website Scrape Timestamp") + 1)
website_url = found_url
result['final_url'] = found_url
result['url_pruefstatus'] = "URL_OK_SERP"
else:
result['url_pruefstatus'] = "URL_SERP_FAILED"; return result
if website_url and 'k.a.' not in website_url.lower(): # --- Hauptlogik: Iteriere und sammle Batches ---
raw_text = get_website_raw(website_url) processing_batch_size = getattr(Config, 'PROCESSING_BATCH_SIZE', 20)
result['raw_text'] = raw_text max_scraping_workers = getattr(Config, 'MAX_SCRAPING_WORKERS', 10)
update_batch_row_limit = getattr(Config, 'UPDATE_BATCH_ROW_LIMIT', 50)
if raw_text == URL_CHECK_MARKER: tasks_for_processing_batch = []
result['url_pruefstatus'] = URL_CHECK_MARKER all_sheet_updates = []
elif raw_text and 'k.a.' not in raw_text.lower(): processed_count = 0
result['url_pruefstatus'] = "URL_OK_SCRAPED" skipped_count = 0
result['meta_text'] = scrape_website_details(website_url) or 'k.A.'
result['summary'] = summarize_website_content(raw_text, company_name) or 'k.A.' for i in range(start_sheet_row, effective_end_row + 1):
else: row_index_in_list = i - 1
result['url_pruefstatus'] = "URL_SCRAPE_EMPTY_OR_BANNER" if row_index_in_list >= total_sheet_rows: break
row = all_data[row_index_in_list]
if not any(cell and str(cell).strip() for cell in row):
skipped_count += 1
continue
if self._needs_website_processing(row, force_reeval=False):
website_url = self._get_cell_value_safe(row, "CRM Website").strip()
if website_url and website_url.lower() not in ["k.a.", "http:"]:
if limit is not None and processed_count >= limit:
self.logger.info(f"Verarbeitungslimit ({limit}) erreicht.")
break
# WICHTIG: row_num muss 1-basiert sein für die Ausgabe
tasks_for_processing_batch.append({"row_num": i, "url": website_url})
processed_count += 1
else: else:
result['url_pruefstatus'] = "URL_MISSING" skipped_count += 1
else:
skipped_count += 1
return result if len(tasks_for_processing_batch) >= processing_batch_size or (i == effective_end_row and tasks_for_processing_batch):
except Exception as e: self.logger.debug(f"--- Starte Website-Scraping Batch ({len(tasks_for_processing_batch)} Tasks) ---")
self.logger.error(f" -> Kritischer Fehler im Scrape-Worker für {company_name}: {e}") scraping_results = {}
result['raw_text'] = f"FEHLER: {type(e).__name__}" batch_error_count = 0
result['url_pruefstatus'] = "URL_SCRAPE_ERROR"
return result
# --- 3. Parallele Ausführung & Ergebnisse sammeln --- with ThreadPoolExecutor(max_workers=max_scraping_workers) as executor:
all_updates = [] future_to_task = {executor.submit(self._scrape_raw_text_task, task, get_website_raw): task for task in tasks_for_processing_batch}
now_timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S") for future in as_completed(future_to_task):
try:
result_dict = future.result()
if isinstance(result_dict, dict):
scraping_results[result_dict['row_num']] = result_dict['raw_text']
if result_dict.get('error'):
batch_error_count += 1
else:
task = future_to_task[future]
self.logger.error(f"Fehlerhaftes Ergebnis für Zeile {task['row_num']}: Erwartete dict, bekam {type(result_dict)}. Überspringe.")
scraping_results[task['row_num']] = "FEHLER (Inkonsistenter Rückgabetyp)"
batch_error_count += 1
except Exception as exc:
task = future_to_task[future]
self.logger.error(f"Unerwarteter Fehler bei Ergebnisabfrage für Zeile {task['row_num']}: {exc}")
scraping_results[task['row_num']] = "FEHLER (Task Exception)"
batch_error_count += 1
from concurrent.futures import ThreadPoolExecutor, as_completed self.logger.debug(f" Scraping für Batch beendet. {len(scraping_results)} Ergebnisse erhalten ({batch_error_count} Fehler).")
with ThreadPoolExecutor(max_workers=getattr(Config, 'MAX_SCRAPING_WORKERS', 5)) as executor: if scraping_results:
self.logger.info(f"Starte parallele Verarbeitung für {len(tasks)} Websites...") current_timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
future_to_task = {executor.submit(_scrape_worker, task): task for task in tasks} current_version = getattr(Config, 'VERSION', 'unknown')
for row_num, raw_text_res in scraping_results.items():
all_sheet_updates.append({'range': f'{rohtext_col_letter}{row_num}', 'values': [[raw_text_res]]})
all_sheet_updates.append({'range': f'{timestamp_col_letter}{row_num}', 'values': [[current_timestamp]]})
all_sheet_updates.append({'range': f'{version_col_letter}{row_num}', 'values': [[current_version]]})
for future in as_completed(future_to_task): tasks_for_processing_batch = []
row_num = future_to_task[future]['row_num']
try:
result_dict = future.result()
if not isinstance(result_dict, dict): if len(all_sheet_updates) >= (update_batch_row_limit * 3):
self.logger.error(f"Fehlerhaftes Ergebnis für Zeile {row_num}: Worker gab keinen Dictionary zurück. Bekam {type(result_dict)}. Überspringe.") self.logger.info(f"Sende gesammelte Sheet-Updates ({len(all_sheet_updates) // 3} Zeilen)...")
continue self.sheet_handler.batch_update_cells(all_sheet_updates)
all_sheet_updates = []
all_updates.append({'range': f'{self.sheet_handler._get_col_letter(get_col_idx("CRM Website") + 1)}{row_num}', 'values': [[result_dict.get('final_url')]]}) if all_sheet_updates:
all_updates.append({'range': f'{self.sheet_handler._get_col_letter(get_col_idx("Website Rohtext") + 1)}{row_num}', 'values': [[result_dict.get('raw_text')]]}) self.logger.info(f"Sende FINALE gesammelte Sheet-Updates ({len(all_sheet_updates) // 3} Zeilen)...")
all_updates.append({'range': f'{self.sheet_handler._get_col_letter(get_col_idx("Website Meta-Details") + 1)}{row_num}', 'values': [[result_dict.get('meta_text')]]}) self.sheet_handler.batch_update_cells(all_sheet_updates)
all_updates.append({'range': f'{self.sheet_handler._get_col_letter(get_col_idx("Website Zusammenfassung") + 1)}{row_num}', 'values': [[result_dict.get('summary')]]})
all_updates.append({'range': f'{self.sheet_handler._get_col_letter(get_col_idx("URL Prüfstatus") + 1)}{row_num}', 'values': [[result_dict.get('url_pruefstatus')]]})
all_updates.append({'range': f'{self.sheet_handler._get_col_letter(get_col_idx("Website Scrape Timestamp") + 1)}{row_num}', 'values': [[now_timestamp]]})
except Exception as e_future: self.logger.info(f"Website-Scraping (Batch) abgeschlossen. {processed_count} Zeilen zur Verarbeitung ausgewählt, {skipped_count} Zeilen übersprungen.")
self.logger.error(f"Fehler beim Abrufen des Ergebnisses für Zeile {row_num}: {e_future}", exc_info=True)
# --- 4. Finales Schreiben ---
if all_updates:
self.logger.info(f"Sende Batch-Update für {len(tasks)} verarbeitete Websites...")
self.sheet_handler.batch_update_cells(all_updates)
self.logger.info(f"Website-Verarbeitung (Batch) abgeschlossen. {len(tasks)} Zeilen verarbeitet.")
def process_website_scraping( def process_website_scraping(
self, self,
@@ -2612,20 +2621,17 @@ class DataProcessor:
def _scrape_raw_text_task(self, task_info, scraper_function): def _scrape_raw_text_task(self, task_info, scraper_function):
""" """
Worker-Funktion für Threading. Gibt IMMER ein Dictionary zurück, Worker-Funktion für Threading. Gibt IMMER ein Dictionary zurück.
um den `Erwartete dict, bekam <class 'str'>`-Fehler zu beheben.
""" """
row_num = task_info['row_num'] row_num = task_info['row_num']
url = task_info['url'] url = task_info['url']
self.logger.debug(f" -> Scrape Task gestartet für Zeile {row_num + 1}: {url}") self.logger.debug(f" -> Scrape Task gestartet für Zeile {row_num}: {url}")
try: try:
raw_text = scraper_function(url) raw_text = scraper_function(url)
# Das ist der entscheidende Fix: Das Ergebnis wird immer in ein Dictionary verpackt.
is_error = "k.A." in raw_text or "FEHLER" in raw_text is_error = "k.A." in raw_text or "FEHLER" in raw_text
return {'row_num': row_num, 'raw_text': raw_text, 'error': is_error} return {'row_num': row_num, 'raw_text': raw_text, 'error': is_error}
except Exception as e: except Exception as e:
self.logger.error(f" -> Kritischer Fehler im Scrape-Task für Zeile {row_num + 1}: {e}") self.logger.error(f" -> Kritischer Fehler im Scrape-Task für Zeile {row_num}: {e}")
# Auch im absoluten Fehlerfall wird ein Dictionary zurückgegeben.
return {'row_num': row_num, 'raw_text': f"FEHLER im Task: {e}", 'error': True} return {'row_num': row_num, 'raw_text': f"FEHLER im Task: {e}", 'error': True}