🚀 Full project sync: Hotels RAG & Audit System
✨ 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
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Фёдор
348
process_spb_region.py
Executable file
348
process_spb_region.py
Executable file
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#!/usr/bin/env python3
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"""
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Скрипт для обработки Санкт-Петербурга:
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1. Чанкинизация всех краулнутых отелей
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2. Аудит всех чанкинизированных отелей
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"""
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import psycopg2
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from psycopg2.extras import RealDictCursor
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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 logging
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from datetime import datetime
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import time
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import sys
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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(f'spb_processing_{datetime.now().strftime("%Y%m%d_%H%M%S")}.log'),
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logging.StreamHandler(sys.stdout)
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]
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)
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DB_CONFIG = {
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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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BGE_API_URL = 'http://147.45.146.17:8002/embed'
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BGE_API_KEY = '22564b177aa73b6ac0b8642d7773350ff4c01d4983f028beff15ea247f09fa89'
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N8N_WEBHOOK_URL = 'https://n8n.clientright.pro/webhook/6be4a7b9-a016-4252-841f-0ebca367914f'
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REGION = 'г. Санкт-Петербург'
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class SPBProcessor:
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def __init__(self):
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self.conn = psycopg2.connect(**DB_CONFIG, cursor_factory=RealDictCursor)
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self.cur = self.conn.cursor()
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def get_hotels_to_chunk(self):
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"""Получить отели для чанкинизации"""
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self.cur.execute("""
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SELECT DISTINCT h.id, h.full_name
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FROM hotel_main h
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JOIN hotel_website_processed hwp ON h.id = hwp.hotel_id
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LEFT JOIN hotel_website_chunks hc ON h.id::text = hc.metadata->>'hotel_id'
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WHERE h.region_name = %s
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AND hwp.cleaned_text IS NOT NULL
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AND hc.id IS NULL
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ORDER BY h.full_name
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""", (REGION,))
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return self.cur.fetchall()
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def get_hotels_to_audit(self):
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"""Получить отели для аудита"""
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self.cur.execute("""
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SELECT DISTINCT h.id, h.full_name
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FROM hotel_main h
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JOIN hotel_website_chunks hc ON h.id::text = hc.metadata->>'hotel_id'
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LEFT JOIN hotel_audit_results har ON h.id = har.hotel_id AND har.audit_version = 'v1.0_with_rkn'
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WHERE h.region_name = %s
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AND har.hotel_id IS NULL
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ORDER BY h.full_name
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""", (REGION,))
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return self.cur.fetchall()
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def chunk_text(self, text, chunk_size=1000, overlap=200):
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"""Разбить текст на chunks"""
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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[start:end]
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if chunk.strip():
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chunks.append(chunk)
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start = end - overlap
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return chunks
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def get_embeddings_batch(self, texts, max_retries=3):
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"""Получить эмбеддинги для батча текстов"""
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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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'X-API-Key': BGE_API_KEY,
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'Content-Type': 'application/json'
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},
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json={'text': texts},
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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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return data.get('embeddings', [])
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else:
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logging.error(f"API вернул статус {response.status_code}: {response.text}")
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except Exception as e:
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logging.error(f"Ошибка получения эмбеддингов (попытка {attempt + 1}): {e}")
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if attempt < max_retries - 1:
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time.sleep(2 ** attempt)
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return None
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def process_hotel_chunks(self, hotel_id, hotel_name):
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"""Обработать chunks для отеля"""
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try:
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# Получить ОЧИЩЕННЫЙ текст из hotel_website_processed
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self.cur.execute("""
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SELECT id, cleaned_text FROM hotel_website_processed
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WHERE hotel_id = %s AND cleaned_text IS NOT NULL
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""", (hotel_id,))
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pages = self.cur.fetchall()
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if not pages:
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logging.warning(f" ⚠️ Нет обработанных данных для {hotel_name}")
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return False
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# Удалить старые chunks
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self.cur.execute(
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"DELETE FROM hotel_website_chunks WHERE metadata->>'hotel_id' = %s",
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(str(hotel_id),)
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)
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total_chunks = 0
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for page in pages:
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cleaned_text = page['cleaned_text']
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if not cleaned_text or len(cleaned_text) < 100:
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continue
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# Разбить на chunks
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chunks = self.chunk_text(cleaned_text)
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if not chunks:
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continue
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# Обработать батчами по 8
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BATCH_SIZE = 8
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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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# Получить эмбеддинги
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embeddings = self.get_embeddings_batch(batch)
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if not embeddings or len(embeddings) != len(batch):
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logging.error(f" ❌ Ошибка получения эмбеддингов для батча")
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continue
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# Сохранить chunks
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for j, (chunk, embedding) in enumerate(zip(batch, embeddings)):
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import uuid
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chunk_id = str(uuid.uuid4())
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metadata = {
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'hotel_id': str(hotel_id),
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'chunk_index': i + j,
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'page_id': page['id'],
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'created_at': time.time()
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}
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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::vector)
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""", (chunk_id, chunk, json.dumps(metadata), json.dumps(embedding)))
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total_chunks += len(batch)
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self.conn.commit()
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logging.info(f" ✅ Создано {total_chunks} chunks")
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return True
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except Exception as e:
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logging.error(f" ❌ Ошибка обработки {hotel_name}: {e}")
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self.conn.rollback()
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return False
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def audit_hotel(self, hotel_id, hotel_name):
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"""Запустить аудит отеля через N8N"""
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try:
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response = requests.post(
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N8N_WEBHOOK_URL,
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json={'hotel_id': str(hotel_id)},
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timeout=300
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)
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if response.status_code == 200:
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result = response.json()
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# Сохранить результат
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self.save_audit_to_db(hotel_id, result)
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logging.info(f" ✅ Аудит завершён")
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return True
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else:
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logging.error(f" ❌ N8N вернул статус {response.status_code}")
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return False
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except Exception as e:
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logging.error(f" ❌ Ошибка аудита {hotel_name}: {e}")
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return False
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def save_audit_to_db(self, hotel_id, audit_data):
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"""Сохранить результаты аудита в БД"""
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try:
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# Удалить старые результаты
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self.cur.execute("""
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DELETE FROM hotel_audit_results
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WHERE hotel_id = %s AND audit_version = 'v1.0_with_rkn'
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""", (hotel_id,))
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# Сохранить результаты по критериям
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for criterion_id, criterion_data in audit_data.get('audit_results', {}).items():
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status = criterion_data.get('status', 'unknown')
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ai_agent = criterion_data.get('ai_agent', {})
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self.cur.execute("""
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INSERT INTO hotel_audit_results
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(hotel_id, audit_version, criterion_id, status, ai_agent_data, created_at)
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VALUES (%s, %s, %s, %s, %s, %s)
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""", (
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hotel_id,
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'v1.0_with_rkn',
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int(criterion_id),
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status,
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json.dumps(ai_agent),
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datetime.now()
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))
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# Сохранить статус РКН если есть
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rkn_status = audit_data.get('rkn_status')
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if rkn_status:
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status_lower = rkn_status.lower() if rkn_status else None
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if status_lower == 'in_registry':
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rkn_check_status = 'in_registry'
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elif status_lower == 'not_in_registry':
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rkn_check_status = 'not_in_registry'
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elif status_lower == 'unclear':
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rkn_check_status = 'unclear'
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else:
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rkn_check_status = 'not_checked'
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self.cur.execute("""
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UPDATE hotel_main
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SET rkn_check_status = %s,
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rkn_last_check = %s
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WHERE id = %s
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""", (rkn_check_status, datetime.now(), hotel_id))
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self.conn.commit()
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except Exception as e:
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logging.error(f" ❌ Ошибка сохранения в БД: {e}")
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self.conn.rollback()
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def run_chunking(self):
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"""Запустить чанкинизацию"""
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hotels = self.get_hotels_to_chunk()
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total = len(hotels)
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logging.info(f"🚀 НАЧИНАЕМ ЧАНКИНИЗАЦИЮ ПИТЕРА")
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logging.info(f" Отелей к обработке: {total}")
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success = 0
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failed = 0
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for i, hotel in enumerate(hotels, 1):
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logging.info(f"📦 [{i}/{total}] {hotel['full_name']}")
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if self.process_hotel_chunks(hotel['id'], hotel['full_name']):
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success += 1
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else:
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failed += 1
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if i % 10 == 0:
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logging.info(f" 📊 Прогресс: {success} успешно, {failed} ошибок")
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logging.info(f"\n✅ ЧАНКИНИЗАЦИЯ ЗАВЕРШЕНА")
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logging.info(f" Успешно: {success}")
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logging.info(f" Ошибок: {failed}")
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return success, failed
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def run_audit(self):
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"""Запустить аудит"""
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hotels = self.get_hotels_to_audit()
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total = len(hotels)
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logging.info(f"\n🔍 НАЧИНАЕМ АУДИТ ПИТЕРА")
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logging.info(f" Отелей к обработке: {total}")
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success = 0
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failed = 0
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for i, hotel in enumerate(hotels, 1):
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logging.info(f"🏨 [{i}/{total}] {hotel['full_name']}")
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if self.audit_hotel(hotel['id'], hotel['full_name']):
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success += 1
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else:
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failed += 1
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# Небольшая пауза между запросами
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time.sleep(2)
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if i % 10 == 0:
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logging.info(f" 📊 Прогресс: {success} успешно, {failed} ошибок")
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logging.info(f"\n✅ АУДИТ ЗАВЕРШЁН")
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logging.info(f" Успешно: {success}")
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logging.info(f" Ошибок: {failed}")
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return success, failed
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def close(self):
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self.cur.close()
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self.conn.close()
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if __name__ == '__main__':
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processor = SPBProcessor()
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try:
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logging.info("=" * 60)
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logging.info("🏛️ ДОЖАТИЕ САНКТ-ПЕТЕРБУРГА")
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logging.info("=" * 60)
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# Этап 1: Чанкинизация
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chunk_success, chunk_failed = processor.run_chunking()
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# Этап 2: Аудит
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audit_success, audit_failed = processor.run_audit()
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logging.info("\n" + "=" * 60)
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logging.info("🎉 ВСЕ ЭТАПЫ ЗАВЕРШЕНЫ!")
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logging.info("=" * 60)
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logging.info(f"📦 Чанкинизация: {chunk_success} успешно, {chunk_failed} ошибок")
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logging.info(f"🔍 Аудит: {audit_success} успешно, {audit_failed} ошибок")
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finally:
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processor.close()
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