212 lines
8.5 KiB
Python
212 lines
8.5 KiB
Python
import asyncio
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import json
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import logging
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import os
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from opensearchpy import OpenSearch
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from services.redis import redis
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from utils.encoders import CustomJSONEncoder
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# Set redis logging level to suppress DEBUG messages
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logger = logging.getLogger("search")
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logger.setLevel(logging.WARNING)
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ELASTIC_HOST = os.environ.get("ELASTIC_HOST", "").replace("https://", "")
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ELASTIC_USER = os.environ.get("ELASTIC_USER", "")
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ELASTIC_PASSWORD = os.environ.get("ELASTIC_PASSWORD", "")
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ELASTIC_PORT = os.environ.get("ELASTIC_PORT", 9200)
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ELASTIC_URL = os.environ.get(
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"ELASTIC_URL",
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f"https://{ELASTIC_USER}:{ELASTIC_PASSWORD}@{ELASTIC_HOST}:{ELASTIC_PORT}",
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)
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REDIS_TTL = 86400 # 1 день в секундах
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index_settings = {
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"settings": {
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"index": {"number_of_shards": 1, "auto_expand_replicas": "0-all"},
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"analysis": {
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"analyzer": {
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"ru": {
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"tokenizer": "standard",
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"filter": ["lowercase", "ru_stop", "ru_stemmer"],
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}
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},
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"filter": {
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"ru_stemmer": {"type": "stemmer", "language": "russian"},
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"ru_stop": {"type": "stop", "stopwords": "_russian_"},
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},
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},
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},
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"mappings": {
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"properties": {
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"body": {"type": "text", "analyzer": "ru"},
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"title": {"type": "text", "analyzer": "ru"},
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"subtitle": {"type": "text", "analyzer": "ru"},
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"lead": {"type": "text", "analyzer": "ru"},
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"media": {"type": "text", "analyzer": "ru"},
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}
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},
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}
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expected_mapping = index_settings["mappings"]
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# Создание цикла событий
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search_loop = asyncio.get_event_loop()
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def get_indices_stats():
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indices_stats = search_service.client.cat.indices(format="json")
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for index_info in indices_stats:
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index_name = index_info["index"]
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if not index_name.startswith("."):
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index_health = index_info["health"]
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index_status = index_info["status"]
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pri_shards = index_info["pri"]
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rep_shards = index_info["rep"]
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docs_count = index_info["docs.count"]
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docs_deleted = index_info["docs.deleted"]
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store_size = index_info["store.size"]
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pri_store_size = index_info["pri.store.size"]
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logger.info(f"Index: {index_name}")
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logger.info(f"Health: {index_health}")
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logger.info(f"Status: {index_status}")
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logger.info(f"Primary Shards: {pri_shards}")
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logger.info(f"Replica Shards: {rep_shards}")
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logger.info(f"Documents Count: {docs_count}")
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logger.info(f"Deleted Documents: {docs_deleted}")
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logger.info(f"Store Size: {store_size}")
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logger.info(f"Primary Store Size: {pri_store_size}")
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class SearchService:
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def __init__(self, index_name="search_index"):
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logger.info("Инициализируем поиск...")
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self.index_name = index_name
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self.client = None
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self.lock = asyncio.Lock()
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# Инициализация клиента OpenSearch
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if ELASTIC_HOST:
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try:
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self.client = OpenSearch(
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hosts=[{"host": ELASTIC_HOST, "port": ELASTIC_PORT}],
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http_compress=True,
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http_auth=(ELASTIC_USER, ELASTIC_PASSWORD),
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use_ssl=True,
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verify_certs=False,
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ssl_assert_hostname=False,
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ssl_show_warn=False,
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# ca_certs = ca_certs_path
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)
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logger.info("Клиент OpenSearch.org подключен")
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# Создание задачи и запуск в цикле событий
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search_loop.create_task(self.check_index())
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except Exception as exc:
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logger.error(f"Ошибка подключения к OpenSearch: {exc}")
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self.client = None
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else:
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logger.warning("Задайте переменные среды для подключения к серверу поиска")
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async def info(self):
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if isinstance(self.client, OpenSearch):
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logger.info("Поиск подключен")
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get_indices_stats()
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def delete_index(self):
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if self.client:
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logger.warning(f"[!!!] Удаляем индекс {self.index_name}")
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self.client.indices.delete(index=self.index_name, ignore_unavailable=True)
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def create_index(self):
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if self.client:
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logger.info(f"Создается индекс: {self.index_name}")
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self.client.indices.create(index=self.index_name, body=index_settings)
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logger.info(f"Индекс {self.index_name} создан")
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async def check_index(self):
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if self.client:
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logger.info(f"Проверяем индекс {self.index_name}...")
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if not self.client.indices.exists(index=self.index_name):
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self.create_index()
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self.client.indices.put_mapping(index=self.index_name, body=expected_mapping)
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else:
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logger.info(f"Найден существующий индекс {self.index_name}")
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# Проверка и обновление структуры индекса, если необходимо
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result = self.client.indices.get_mapping(index=self.index_name)
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if isinstance(result, str):
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result = json.loads(result)
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if isinstance(result, dict):
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mapping = result.get(self.index_name, {}).get("mappings")
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logger.info(f"Найдена структура индексации: {mapping['properties'].keys()}")
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expected_keys = expected_mapping["properties"].keys()
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if mapping and mapping["properties"].keys() != expected_keys:
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logger.info(f"Ожидаемая структура индексации: {expected_mapping}")
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logger.warning("[!!!] Требуется переиндексация всех данных")
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self.delete_index()
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self.client = None
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else:
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logger.error("клиент не инициализован, невозможно проверить индекс")
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def index(self, shout):
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if self.client:
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logger.info(f"Индексируем пост {shout.id}")
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index_body = {
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"body": shout.body,
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"title": shout.title,
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"subtitle": shout.subtitle,
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"lead": shout.lead,
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"media": shout.media,
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}
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asyncio.create_task(self.perform_index(shout, index_body))
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else:
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logger.error("клиент не инициализован, невозможно проидексировать")
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async def perform_index(self, shout, index_body):
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if self.client:
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self.client.index(index=self.index_name, id=str(shout.id), body=index_body)
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async def search(self, text, limit, offset):
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logger.info(f"Ищем: {text} {offset}+{limit}")
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search_body = {
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"query": {"multi_match": {"query": text, "fields": ["title", "lead", "subtitle", "body", "media"]}}
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}
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if self.client:
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search_response = self.client.search(
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index=self.index_name,
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body=search_body,
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size=limit,
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from_=offset,
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_source=False,
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_source_excludes=["title", "body", "subtitle", "media", "lead", "_index"],
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)
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hits = search_response["hits"]["hits"]
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results = [{"id": hit["_id"], "score": hit["_score"]} for hit in hits]
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# если результаты не пустые
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if results:
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# Кэширование в Redis с TTL
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redis_key = f"search:{text}:{offset}+{limit}"
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await redis.execute(
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"SETEX",
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redis_key,
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REDIS_TTL,
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json.dumps(results, cls=CustomJSONEncoder),
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)
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return results
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return []
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search_service = SearchService()
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async def search_text(text: str, limit: int = 50, offset: int = 0):
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payload = []
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if search_service.client:
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# Использование метода search_post из OpenSearchService
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payload = await search_service.search(text, limit, offset)
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return payload
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