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## What type of PR is this? /kind test ## What this PR does / why we need it: Adds RESTful import 2PC coverage for Milvus import lifecycle and CDC-focused scenarios. This PR adds: - REST import job helpers for `/describe`, `/commit`, `/abort`, and state polling - pytest options for secondary CDC endpoint/object storage/topology parameters - a new REST test suite for import 2PC lifecycle, visibility, commit/abort, delete semantics, TTL, compaction, formats, data types, indexes, partitions, DML interleaving, CDC, and fault-tolerance gates - xfail regression coverage for known issues: - #50458 REST import commit/abort authorization gap - #50459 NaN/Inf FloatVector import/query behavior - #50460 REST `options.auto_commit=null` validation gap ## Which issue(s) this PR fixes: N/A ## Special notes for your reviewer: The CDC cases require passing secondary cluster REST/MinIO options and topology arguments. Without those options, CDC-specific cases skip with an explicit environment precondition message. The manual compaction-after-commit case is marked non-strict xfail because compaction may remain `Executing` on current import 2PC test builds. ## Test result: ```text python -m py_compile tests/restful_client_v2/conftest.py tests/restful_client_v2/api/milvus.py tests/restful_client_v2/testcases/test_import_2pc_operation.py ruff check tests/restful_client_v2/api/milvus.py tests/restful_client_v2/conftest.py tests/restful_client_v2/testcases/test_import_2pc_operation.py python -m pytest --collect-only -q testcases/test_import_2pc_operation.py 141 tests collected in 2.14s ``` --------- Signed-off-by: zhuwenxing <wenxing.zhu@zilliz.com>
200 lines
8.0 KiB
Python
200 lines
8.0 KiB
Python
import json
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import time
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from time import sleep
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import pytest
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from chaos import chaos_commons as cc
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from chaos import constants
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from chaos.chaos_commons import assert_statistic
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from chaos.checker import (
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AddFieldChecker,
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DeleteChecker,
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FlushChecker,
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FullTextSearchChecker,
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GeoQueryChecker,
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HybridSearchChecker,
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Import2PCChecker,
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InsertChecker,
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JsonQueryChecker,
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Op,
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PhraseMatchChecker,
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QueryChecker,
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ResultAnalyzer,
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SearchChecker,
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TextMatchChecker,
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UpsertChecker,
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)
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from common import common_func as cf
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from common.common_type import CaseLabel
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from common.milvus_sys import MilvusSys
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from delayed_assert import assert_expectations
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from pymilvus import DataType, FunctionType, connections
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from utils.util_k8s import get_milvus_instance_name, wait_pods_ready
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from utils.util_log import test_log as log
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_VECTOR_DTYPES = {
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DataType.FLOAT_VECTOR,
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DataType.FLOAT16_VECTOR,
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DataType.BFLOAT16_VECTOR,
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DataType.BINARY_VECTOR,
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DataType.SPARSE_FLOAT_VECTOR,
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DataType.INT8_VECTOR,
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}
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def _build_checker_schema(dim=8):
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"""Build the shared all-datatype schema, stripped for the 2.6-latest image.
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The chaos-test image used by milvus_cdc_chaos_test/verify_test rejects
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two things the shared gen_all_datatype_collection_schema includes by
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default:
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- FunctionType.MINHASH (error: "check function params with unknown
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function type")
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- nullable=True on FLOAT_VECTOR (error: "vector type not support null")
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Drop the MinHash function and its output field, and force nullable=False
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on every vector field so the server accepts the schema.
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"""
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schema = cf.gen_all_datatype_collection_schema(dim=dim)
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schema.functions[:] = [f for f in schema.functions if f.type != FunctionType.MINHASH]
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schema.fields[:] = [f for f in schema.fields if f.name != "minhash_emb"]
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for f in schema.fields:
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if f.dtype in _VECTOR_DTYPES:
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f.nullable = False
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return schema
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def get_all_collections():
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try:
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with open("/tmp/ci_logs/chaos_test_all_collections.json") as f:
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data = json.load(f)
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all_collections = data["all"]
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except Exception as e:
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log.warning(f"get_all_collections error: {e}")
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return [None]
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return all_collections
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class TestBase:
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expect_create = constants.SUCC
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expect_insert = constants.SUCC
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expect_flush = constants.SUCC
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expect_compact = constants.SUCC
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expect_search = constants.SUCC
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expect_query = constants.SUCC
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host = "127.0.0.1"
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port = 19530
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_chaos_config = None
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health_checkers = {}
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class TestOperations(TestBase):
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@pytest.fixture(scope="function", autouse=True)
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def connection(
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self,
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upstream_uri,
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upstream_token,
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downstream_uri,
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downstream_token,
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milvus_ns,
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import_2pc_workload,
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import_2pc_minio_endpoint,
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import_2pc_minio_bucket,
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import_2pc_downstream_minio_endpoint,
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import_2pc_downstream_minio_bucket,
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import_2pc_rows,
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):
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connections.connect("default", uri=upstream_uri, token=upstream_token)
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if connections.has_connection("default") is False:
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raise Exception("no connections")
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log.info("connect to milvus successfully")
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self.milvus_sys = MilvusSys(alias="default")
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self.milvus_ns = milvus_ns
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self.release_name = get_milvus_instance_name(self.milvus_ns, milvus_sys=self.milvus_sys)
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cf.param_info.param_uri = upstream_uri
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cf.param_info.param_token = upstream_token
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cf.param_info.param_bucket_name = import_2pc_minio_bucket
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self.upstream_uri = upstream_uri
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self.upstream_token = upstream_token
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self.downstream_uri = downstream_uri
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self.downstream_token = downstream_token
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self.import_2pc_workload = import_2pc_workload
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self.import_2pc_minio_endpoint = import_2pc_minio_endpoint
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self.import_2pc_minio_bucket = import_2pc_minio_bucket
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self.import_2pc_downstream_minio_endpoint = import_2pc_downstream_minio_endpoint
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self.import_2pc_downstream_minio_bucket = import_2pc_downstream_minio_bucket
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self.import_2pc_rows = import_2pc_rows
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def init_health_checkers(self, collection_name=None):
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c_name = collection_name
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schema = _build_checker_schema()
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checkers = {
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Op.insert: InsertChecker(collection_name=c_name, schema=schema),
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Op.upsert: UpsertChecker(collection_name=c_name, schema=schema),
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Op.flush: FlushChecker(collection_name=c_name, schema=schema),
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Op.search: SearchChecker(collection_name=c_name, schema=schema),
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Op.full_text_search: FullTextSearchChecker(collection_name=c_name, schema=schema),
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Op.hybrid_search: HybridSearchChecker(collection_name=c_name, schema=schema),
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Op.query: QueryChecker(collection_name=c_name, schema=schema),
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Op.text_match: TextMatchChecker(collection_name=c_name, schema=schema),
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Op.phrase_match: PhraseMatchChecker(collection_name=c_name, schema=schema),
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Op.json_query: JsonQueryChecker(collection_name=c_name, schema=schema),
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Op.geo_query: GeoQueryChecker(collection_name=c_name, schema=schema),
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Op.delete: DeleteChecker(collection_name=c_name, schema=schema),
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Op.add_field: AddFieldChecker(collection_name=c_name, schema=schema),
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}
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if self.import_2pc_workload:
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checkers[Op.import_2pc] = Import2PCChecker(
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collection_name=c_name,
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schema=schema,
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rows_per_import=self.import_2pc_rows,
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minio_endpoint=self.import_2pc_minio_endpoint,
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bucket_name=self.import_2pc_minio_bucket,
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uri=self.upstream_uri,
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token=self.upstream_token,
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downstream_uri=self.downstream_uri,
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downstream_token=self.downstream_token,
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downstream_minio_endpoint=self.import_2pc_downstream_minio_endpoint,
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downstream_bucket_name=self.import_2pc_downstream_minio_bucket,
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strict_count=False,
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pk_start=-int(time.time() * 100000),
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)
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log.info(f"init_health_checkers: {checkers}")
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self.health_checkers = checkers
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@pytest.fixture(scope="function", params=get_all_collections())
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def collection_name(self, request):
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if request.param == [] or request.param == "":
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pytest.skip("The collection name is invalid")
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yield request.param
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@pytest.mark.tags(CaseLabel.CDC)
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def test_operations(self, request_duration, is_check, collection_name):
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# start the monitor threads to check the milvus ops
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log.info("*********************Test Start**********************")
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log.info(connections.get_connection_addr("default"))
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# event_records = EventRecords()
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c_name = collection_name if collection_name else cf.gen_unique_str("Checker_")
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# event_records.insert("init_health_checkers", "start")
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self.init_health_checkers(collection_name=c_name)
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# event_records.insert("init_health_checkers", "finished")
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cc.start_monitor_threads(self.health_checkers)
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log.info("*********************Load Start**********************")
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request_duration = request_duration.replace("h", "*3600+").replace("m", "*60+").replace("s", "")
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if request_duration[-1] == "+":
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request_duration = request_duration[:-1]
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request_duration = eval(request_duration)
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for i in range(10):
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sleep(request_duration // 10)
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for k, v in self.health_checkers.items():
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v.check_result()
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# log.info(v.check_result())
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wait_pods_ready(self.milvus_ns, f"app.kubernetes.io/instance={self.release_name}")
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time.sleep(60)
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ra = ResultAnalyzer()
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ra.get_stage_success_rate()
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if is_check:
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assert_statistic(self.health_checkers)
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assert_expectations()
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log.info("*********************Chaos Test Completed**********************")
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