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Feat: message manage (#12083)
### What problem does this PR solve? Message CRUD. Issue #4213 ### Type of change - [x] New Feature (non-breaking change which adds functionality)
This commit is contained in:
Lynn
326
common/doc_store/es_conn_base.py
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326
common/doc_store/es_conn_base.py
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#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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import logging
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import re
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import json
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import time
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import os
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from abc import abstractmethod
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from elasticsearch import Elasticsearch, NotFoundError
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from elasticsearch_dsl import Index
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from elastic_transport import ConnectionTimeout
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from common.file_utils import get_project_base_directory
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from common.misc_utils import convert_bytes
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from common.doc_store.doc_store_base import DocStoreConnection, OrderByExpr, MatchExpr
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from rag.nlp import is_english, rag_tokenizer
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from common import settings
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ATTEMPT_TIME = 2
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class ESConnectionBase(DocStoreConnection):
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def __init__(self, mapping_file_name: str="mapping.json", logger_name: str='ragflow.es_conn'):
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self.logger = logging.getLogger(logger_name)
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self.info = {}
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self.logger.info(f"Use Elasticsearch {settings.ES['hosts']} as the doc engine.")
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for _ in range(ATTEMPT_TIME):
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try:
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if self._connect():
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break
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except Exception as e:
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self.logger.warning(f"{str(e)}. Waiting Elasticsearch {settings.ES['hosts']} to be healthy.")
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time.sleep(5)
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if not self.es.ping():
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msg = f"Elasticsearch {settings.ES['hosts']} is unhealthy in 120s."
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self.logger.error(msg)
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raise Exception(msg)
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v = self.info.get("version", {"number": "8.11.3"})
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v = v["number"].split(".")[0]
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if int(v) < 8:
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msg = f"Elasticsearch version must be greater than or equal to 8, current version: {v}"
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self.logger.error(msg)
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raise Exception(msg)
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fp_mapping = os.path.join(get_project_base_directory(), "conf", mapping_file_name)
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if not os.path.exists(fp_mapping):
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msg = f"Elasticsearch mapping file not found at {fp_mapping}"
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self.logger.error(msg)
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raise Exception(msg)
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self.mapping = json.load(open(fp_mapping, "r"))
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self.logger.info(f"Elasticsearch {settings.ES['hosts']} is healthy.")
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def _connect(self):
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self.es = Elasticsearch(
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settings.ES["hosts"].split(","),
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basic_auth=(settings.ES["username"], settings.ES[
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"password"]) if "username" in settings.ES and "password" in settings.ES else None,
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verify_certs= settings.ES.get("verify_certs", False),
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timeout=600 )
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if self.es:
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self.info = self.es.info()
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return True
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return False
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"""
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Database operations
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"""
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def db_type(self) -> str:
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return "elasticsearch"
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def health(self) -> dict:
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health_dict = dict(self.es.cluster.health())
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health_dict["type"] = "elasticsearch"
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return health_dict
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def get_cluster_stats(self):
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"""
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curl -XGET "http://{es_host}/_cluster/stats" -H "kbn-xsrf: reporting" to view raw stats.
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"""
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raw_stats = self.es.cluster.stats()
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self.logger.debug(f"ESConnection.get_cluster_stats: {raw_stats}")
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try:
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res = {
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'cluster_name': raw_stats['cluster_name'],
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'status': raw_stats['status']
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}
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indices_status = raw_stats['indices']
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res.update({
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'indices': indices_status['count'],
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'indices_shards': indices_status['shards']['total']
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})
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doc_info = indices_status['docs']
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res.update({
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'docs': doc_info['count'],
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'docs_deleted': doc_info['deleted']
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})
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store_info = indices_status['store']
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res.update({
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'store_size': convert_bytes(store_info['size_in_bytes']),
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'total_dataset_size': convert_bytes(store_info['total_data_set_size_in_bytes'])
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})
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mappings_info = indices_status['mappings']
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res.update({
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'mappings_fields': mappings_info['total_field_count'],
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'mappings_deduplicated_fields': mappings_info['total_deduplicated_field_count'],
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'mappings_deduplicated_size': convert_bytes(mappings_info['total_deduplicated_mapping_size_in_bytes'])
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})
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node_info = raw_stats['nodes']
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res.update({
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'nodes': node_info['count']['total'],
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'nodes_version': node_info['versions'],
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'os_mem': convert_bytes(node_info['os']['mem']['total_in_bytes']),
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'os_mem_used': convert_bytes(node_info['os']['mem']['used_in_bytes']),
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'os_mem_used_percent': node_info['os']['mem']['used_percent'],
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'jvm_versions': node_info['jvm']['versions'][0]['vm_version'],
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'jvm_heap_used': convert_bytes(node_info['jvm']['mem']['heap_used_in_bytes']),
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'jvm_heap_max': convert_bytes(node_info['jvm']['mem']['heap_max_in_bytes'])
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})
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return res
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except Exception as e:
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self.logger.exception(f"ESConnection.get_cluster_stats: {e}")
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return None
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"""
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Table operations
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"""
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def create_idx(self, index_name: str, dataset_id: str, vector_size: int):
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if self.index_exist(index_name, dataset_id):
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return True
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try:
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from elasticsearch.client import IndicesClient
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return IndicesClient(self.es).create(index=index_name,
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settings=self.mapping["settings"],
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mappings=self.mapping["mappings"])
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except Exception:
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self.logger.exception("ESConnection.createIndex error %s" % index_name)
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def delete_idx(self, index_name: str, dataset_id: str):
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if len(dataset_id) > 0:
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# The index need to be alive after any kb deletion since all kb under this tenant are in one index.
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return
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try:
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self.es.indices.delete(index=index_name, allow_no_indices=True)
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except NotFoundError:
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pass
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except Exception:
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self.logger.exception("ESConnection.deleteIdx error %s" % index_name)
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def index_exist(self, index_name: str, dataset_id: str = None) -> bool:
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s = Index(index_name, self.es)
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for i in range(ATTEMPT_TIME):
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try:
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return s.exists()
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except ConnectionTimeout:
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self.logger.exception("ES request timeout")
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time.sleep(3)
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self._connect()
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continue
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except Exception as e:
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self.logger.exception(e)
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break
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return False
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"""
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CRUD operations
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"""
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def get(self, doc_id: str, index_name: str, dataset_ids: list[str]) -> dict | None:
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for i in range(ATTEMPT_TIME):
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try:
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res = self.es.get(index=index_name,
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id=doc_id, source=True, )
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if str(res.get("timed_out", "")).lower() == "true":
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raise Exception("Es Timeout.")
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doc = res["_source"]
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doc["id"] = doc_id
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return doc
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except NotFoundError:
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return None
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except Exception as e:
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self.logger.exception(f"ESConnection.get({doc_id}) got exception")
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raise e
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self.logger.error(f"ESConnection.get timeout for {ATTEMPT_TIME} times!")
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raise Exception("ESConnection.get timeout.")
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@abstractmethod
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def search(
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self, select_fields: list[str],
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highlight_fields: list[str],
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condition: dict,
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match_expressions: list[MatchExpr],
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order_by: OrderByExpr,
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offset: int,
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limit: int,
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index_names: str | list[str],
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dataset_ids: list[str],
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agg_fields: list[str] | None = None,
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rank_feature: dict | None = None
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):
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raise NotImplementedError("Not implemented")
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@abstractmethod
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def insert(self, documents: list[dict], index_name: str, dataset_id: str = None) -> list[str]:
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raise NotImplementedError("Not implemented")
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@abstractmethod
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def update(self, condition: dict, new_value: dict, index_name: str, dataset_id: str) -> bool:
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raise NotImplementedError("Not implemented")
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@abstractmethod
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def delete(self, condition: dict, index_name: str, dataset_id: str) -> int:
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raise NotImplementedError("Not implemented")
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"""
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Helper functions for search result
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"""
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def get_total(self, res):
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if isinstance(res["hits"]["total"], type({})):
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return res["hits"]["total"]["value"]
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return res["hits"]["total"]
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def get_doc_ids(self, res):
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return [d["_id"] for d in res["hits"]["hits"]]
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def _get_source(self, res):
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rr = []
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for d in res["hits"]["hits"]:
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d["_source"]["id"] = d["_id"]
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d["_source"]["_score"] = d["_score"]
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rr.append(d["_source"])
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return rr
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@abstractmethod
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def get_fields(self, res, fields: list[str]) -> dict[str, dict]:
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raise NotImplementedError("Not implemented")
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def get_highlight(self, res, keywords: list[str], field_name: str):
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ans = {}
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for d in res["hits"]["hits"]:
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highlights = d.get("highlight")
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if not highlights:
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continue
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txt = "...".join([a for a in list(highlights.items())[0][1]])
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if not is_english(txt.split()):
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ans[d["_id"]] = txt
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continue
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txt = d["_source"][field_name]
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txt = re.sub(r"[\r\n]", " ", txt, flags=re.IGNORECASE | re.MULTILINE)
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txt_list = []
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for t in re.split(r"[.?!;\n]", txt):
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for w in keywords:
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t = re.sub(r"(^|[ .?/'\"\(\)!,:;-])(%s)([ .?/'\"\(\)!,:;-])" % re.escape(w), r"\1<em>\2</em>\3", t,
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flags=re.IGNORECASE | re.MULTILINE)
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if not re.search(r"<em>[^<>]+</em>", t, flags=re.IGNORECASE | re.MULTILINE):
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continue
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txt_list.append(t)
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ans[d["_id"]] = "...".join(txt_list) if txt_list else "...".join([a for a in list(highlights.items())[0][1]])
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return ans
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def get_aggregation(self, res, field_name: str):
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agg_field = "aggs_" + field_name
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if "aggregations" not in res or agg_field not in res["aggregations"]:
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return list()
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buckets = res["aggregations"][agg_field]["buckets"]
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return [(b["key"], b["doc_count"]) for b in buckets]
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"""
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SQL
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"""
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def sql(self, sql: str, fetch_size: int, format: str):
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self.logger.debug(f"ESConnection.sql get sql: {sql}")
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sql = re.sub(r"[ `]+", " ", sql)
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sql = sql.replace("%", "")
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replaces = []
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for r in re.finditer(r" ([a-z_]+_l?tks)( like | ?= ?)'([^']+)'", sql):
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fld, v = r.group(1), r.group(3)
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match = " MATCH({}, '{}', 'operator=OR;minimum_should_match=30%') ".format(
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fld, rag_tokenizer.fine_grained_tokenize(rag_tokenizer.tokenize(v)))
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replaces.append(
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("{}{}'{}'".format(
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r.group(1),
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r.group(2),
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r.group(3)),
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match))
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for p, r in replaces:
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sql = sql.replace(p, r, 1)
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self.logger.debug(f"ESConnection.sql to es: {sql}")
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for i in range(ATTEMPT_TIME):
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try:
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res = self.es.sql.query(body={"query": sql, "fetch_size": fetch_size}, format=format,
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request_timeout="2s")
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return res
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except ConnectionTimeout:
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self.logger.exception("ES request timeout")
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time.sleep(3)
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self._connect()
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continue
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except Exception as e:
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self.logger.exception(f"ESConnection.sql got exception. SQL:\n{sql}")
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raise Exception(f"SQL error: {e}\n\nSQL: {sql}")
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self.logger.error(f"ESConnection.sql timeout for {ATTEMPT_TIME} times!")
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return None
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