684fada337
✨ Major Features: - Complete RAG system for hotel website analysis - Hybrid audit with BGE-M3 embeddings + Natasha NER - Universal horizontal Excel reports with dashboards - Multi-region processing (SPb, Orel, Chukotka, Kamchatka) 📊 Completed Regions: - Орловская область: 100% (36/36) - Чукотский АО: 100% (4/4) - г. Санкт-Петербург: 93% (893/960) - Камчатский край: 87% (89/102) 🔧 Infrastructure: - PostgreSQL with pgvector extension - BGE-M3 embeddings API - Browserless for web scraping - N8N workflows for automation - S3/Nextcloud file storage 📝 Documentation: - Complete DB schemas - API documentation - Setup guides - Status reports
329 lines
13 KiB
Python
Executable File
329 lines
13 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Приоритетная обработка Санкт-Петербурга:
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1. Создание chunks из hotel_website_processed
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2. Генерация эмбеддингов через BGE-M3 API
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3. Сохранение в hotel_website_chunks с metadata
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"""
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import psycopg2
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from urllib.parse import unquote
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import requests
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import json
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import time
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import logging
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from typing import List, Dict, Tuple
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import uuid
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# Настройка логирования
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logging.basicConfig(
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level=logging.INFO,
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format='%(asctime)s - %(levelname)s - %(message)s',
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handlers=[
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logging.FileHandler('embeddings_spb.log'),
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logging.StreamHandler()
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]
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)
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logger = logging.getLogger(__name__)
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# Конфигурация
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BGE_API_URL = "http://147.45.146.17:8002/embed"
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BGE_API_KEY = "22564b177aa73b6ac0b8642d7773350ff4c01d4983f028beff15ea247f09fa89"
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CHUNK_SIZE = 600 # Возвращаем обратно
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CHUNK_OVERLAP = 100
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BATCH_SIZE = 8
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MAX_RETRIES = 3
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class EmbeddingProcessor:
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def __init__(self):
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self.conn = None
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self.cur = None
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self.connect_db()
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def connect_db(self):
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"""Подключение к базе данных"""
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try:
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self.conn = psycopg2.connect(
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host='147.45.189.234',
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port=5432,
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database='default_db',
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user='gen_user',
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password=unquote('2~~9_%5EkVsU%3F2%5CS')
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)
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self.conn.autocommit = True
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self.cur = self.conn.cursor()
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logger.info("✅ Подключение к БД установлено")
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except Exception as e:
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logger.error(f"❌ Ошибка подключения к БД: {e}")
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raise
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def get_hotel_info(self, hotel_id: str) -> Dict:
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"""Получение информации об отеле из hotel_main"""
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try:
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self.cur.execute("""
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SELECT id, full_name, region_name
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FROM hotel_main
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WHERE id = %s;
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""", (hotel_id,))
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result = self.cur.fetchone()
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if result:
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return {
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'hotel_id': result[0],
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'hotel_name': result[1],
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'region_name': result[2]
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}
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return None
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except Exception as e:
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logger.error(f"❌ Ошибка получения информации об отеле {hotel_id}: {e}")
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return None
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def create_chunks_from_text(self, text: str, hotel_id: str, url: str, raw_page_id: int) -> List[Dict]:
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"""Создание chunks из текста"""
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if not text or len(text.strip()) < 50:
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return []
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chunks = []
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start = 0
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while start < len(text):
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end = start + CHUNK_SIZE
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chunk_text = text[start:end]
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if end < len(text):
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last_period = chunk_text.rfind('.')
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last_newline = chunk_text.rfind('\n')
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break_point = max(last_period, last_newline)
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if break_point > start + CHUNK_SIZE // 2:
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chunk_text = text[start:start + break_point + 1]
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end = start + break_point + 1
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chunks.append({
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'text': chunk_text.strip(),
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'metadata': {
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'hotel_id': str(hotel_id),
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'url': url,
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'page_id': raw_page_id,
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'chunk_index': len(chunks),
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'chunk_size': len(chunk_text.strip())
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}
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})
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start = end - CHUNK_OVERLAP if end < len(text) else end
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return chunks
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def get_embeddings(self, texts: List[str]) -> List[List[float]]:
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"""Получение embeddings через BGE-M3 API (по одному тексту за раз)"""
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embeddings = []
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for text in texts:
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for attempt in range(MAX_RETRIES):
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try:
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response = requests.post(
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BGE_API_URL,
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headers={
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"Authorization": f"Bearer {BGE_API_KEY}",
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"Content-Type": "application/json"
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},
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json={"text": text}, # Единственное число!
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timeout=30
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)
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if response.status_code == 200:
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data = response.json()
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# API возвращает {"embeddings": [[...]]} - берём первый элемент
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emb = data.get('embeddings', [[]])[0]
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if emb:
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embeddings.append(emb)
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break
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else:
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logger.warning(f"⚠️ API вернул код {response.status_code}, попытка {attempt + 1}/{MAX_RETRIES}")
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time.sleep(1)
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except Exception as e:
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logger.error(f"❌ Ошибка API (попытка {attempt + 1}/{MAX_RETRIES}): {e}")
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time.sleep(1)
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time.sleep(0.1) # Небольшая пауза между запросами
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return embeddings
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def save_chunks(self, chunks: List[Dict], embeddings: List[List[float]]):
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"""Сохранение chunks с embeddings в БД"""
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if len(chunks) != len(embeddings):
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logger.error(f"❌ Несоответствие: {len(chunks)} chunks != {len(embeddings)} embeddings")
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return
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try:
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for chunk, embedding in zip(chunks, embeddings):
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chunk_id = str(uuid.uuid4())
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self.cur.execute("""
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INSERT INTO hotel_website_chunks (id, text, metadata, embedding)
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VALUES (%s, %s, %s, %s)
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""", (
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chunk_id,
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chunk['text'],
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json.dumps(chunk['metadata']),
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embedding
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))
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except Exception as e:
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logger.error(f"❌ Ошибка сохранения chunks: {e}")
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raise
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def get_spb_hotels_to_process(self) -> List[Tuple]:
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"""Получение списка отелей Питера для обработки"""
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try:
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self.cur.execute("""
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SELECT DISTINCT
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wr.hotel_id,
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hm.full_name
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FROM hotel_website_raw wr
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LEFT JOIN hotel_website_processed wp ON wr.id = wp.raw_page_id
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JOIN hotel_main hm ON wr.hotel_id = hm.id
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WHERE wp.id IS NULL
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AND hm.region_name = 'г. Санкт-Петербург'
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ORDER BY hm.full_name
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""")
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return self.cur.fetchall()
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except Exception as e:
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logger.error(f"❌ Ошибка получения списка отелей: {e}")
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return []
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def process_hotel(self, hotel_id: str) -> Tuple[int, bool]:
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"""Обработка одного отеля"""
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start_time = time.time()
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hotel_info = self.get_hotel_info(hotel_id)
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if not hotel_info:
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logger.error(f"❌ Не найдена информация об отеле {hotel_id}")
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return 0, False
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logger.info(f"🏨 Обрабатываем отель: {hotel_info['hotel_name'][:50]}...")
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# Получаем необработанные страницы
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self.cur.execute("""
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SELECT wr.id, wr.url, wr.html, wr.hotel_id
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FROM hotel_website_raw wr
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LEFT JOIN hotel_website_processed wp ON wr.id = wp.raw_page_id
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WHERE wp.id IS NULL
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AND wr.hotel_id = %s
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ORDER BY wr.id
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""", (hotel_id,))
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pages = self.cur.fetchall()
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logger.info(f" 📄 Найдено {len(pages)} страниц")
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total_chunks_saved = 0
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for page_id, url, html, hotel_id in pages:
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# Упрощенная очистка HTML
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from html import unescape
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import re
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text = re.sub(r'<script[^>]*>.*?</script>', '', html, flags=re.DOTALL)
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text = re.sub(r'<style[^>]*>.*?</style>', '', text, flags=re.DOTALL)
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text = re.sub(r'<[^>]+>', ' ', text)
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text = unescape(text)
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text = re.sub(r'\s+', ' ', text).strip()
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# Создаем chunks
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chunks = self.create_chunks_from_text(text, hotel_id, url, page_id)
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if not chunks:
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continue
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# Обрабатываем батчами
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for i in range(0, len(chunks), BATCH_SIZE):
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batch = chunks[i:i + BATCH_SIZE]
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texts = [chunk['text'] for chunk in batch]
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logger.info(f" 🔄 Обрабатываем батч {i//BATCH_SIZE + 1}: {len(batch)} chunks")
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embeddings = self.get_embeddings(texts)
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if not embeddings:
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logger.error(f" ❌ Не удалось получить embeddings для батча")
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continue
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self.save_chunks(batch, embeddings)
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logger.info(f" ✅ Батч успешно обработан")
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# Отмечаем страницу как обработанную
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self.cur.execute("""
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INSERT INTO hotel_website_processed
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(raw_page_id, hotel_id, url, cleaned_text, text_length, processed_at)
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VALUES (%s, %s, %s, %s, %s, NOW())
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""", (page_id, hotel_id, url, text[:1000], len(text)))
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total_chunks_saved += len(chunks)
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logger.info(f"✅ Сохранено {len(chunks)} chunks для отеля {hotel_info['hotel_name'][:50]}...")
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logger.info(f" ✅ Страница {page_id}: {len(chunks)} chunks")
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elapsed = time.time() - start_time
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logger.info(f"🎉 Отель {hotel_info['hotel_name'][:50]}... обработан: {total_chunks_saved} chunks")
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logger.info(f"✅ Успешно за {elapsed:.2f} сек")
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return total_chunks_saved, True
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def run(self):
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"""Основной цикл обработки"""
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logger.info("🚀 Запуск обработки САНКТ-ПЕТЕРБУРГА")
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hotels = self.get_spb_hotels_to_process()
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total_hotels = len(hotels)
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if not hotels:
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logger.info("✅ Все отели Питера уже обработаны!")
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return
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logger.info(f"📊 Найдено отелей к обработке: {total_hotels}")
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processed = 0
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total_chunks = 0
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for idx, (hotel_id, hotel_name) in enumerate(hotels, 1):
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logger.info(f"\n🔄 Обрабатываем отель {idx}/{total_hotels}: {hotel_id}")
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try:
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chunks_saved, success = self.process_hotel(hotel_id)
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if success:
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processed += 1
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total_chunks += chunks_saved
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except Exception as e:
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logger.error(f"❌ Ошибка обработки отеля {hotel_id}: {e}")
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continue
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logger.info("\n" + "="*80)
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logger.info("🎉 ПИТЕР ОБРАБОТАН!")
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logger.info("="*80)
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logger.info(f"✅ Обработано отелей: {processed}/{total_hotels}")
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logger.info(f"📦 Создано chunks: {total_chunks:,}")
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logger.info("="*80)
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def close(self):
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"""Закрытие соединений"""
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if self.cur:
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self.cur.close()
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if self.conn:
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self.conn.close()
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if __name__ == "__main__":
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processor = EmbeddingProcessor()
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try:
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processor.run()
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except KeyboardInterrupt:
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logger.info("\n⚠️ Прервано пользователем")
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except Exception as e:
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logger.error(f"❌ Критическая ошибка: {e}")
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finally:
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processor.close()
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logger.info("👋 Завершение работы")
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