def get_executions_data(flow_name):
ms = MYSQL(MySQL_CONFIG["HOST"], MySQL_CONFIG["USER"],
MySQL_CONFIG["PASSWORD"], MySQL_CONFIG["DB"])
try:
sql = "select id from merce_flow_execution where flow_name like '%s%%%%' order by create_time desc limit 1" % flow_name
flow_info = ms.ExecuQuery(sql.encode('utf-8'))
print(sql)
print('execution_Id:', flow_info[0]["id"])
except:
return
new_data = {
"fieldList": [{
"fieldName": "executionId",
"fieldValue": flow_info[0]["id"],
"comparatorOperator": "EQUAL",
"logicalOperator": "AND"
}],
"sortObject": {
"field": "lastModifiedTime",
"orderDirection": "DESC"
},
"offset":
0,
"limit":
8
}
return new_data
def set_upsert_data():
print("开始执行set_upsert_data")
ms = MYSQL(MySQL_CONFIG1["HOST"], MySQL_CONFIG1["USER"],
MySQL_CONFIG1["PASSWORD"], MySQL_CONFIG1["DB"])
try:
sql = "INSERT INTO `test_flow`.`training`(`ts`, `code`, `total`, `forward_total`, `reverse_total`, `sum_flow`, `sum_inst`, `inst_num`, `max_inst`, `max_inst_ts`, `min_inst`, `min_inst_ts`) VALUES ( CURRENT_TIMESTAMP, 'code1', 310001, 50, 5, 48, 2222, 42, 55, '2020-05-01 00:09:00', 23, '2020-01-01 00:09:00')"
ms.ExecuNoQuery(sql.encode('utf-8'))
sql = "UPDATE `test_flow`.`training` set ts=CURRENT_TIMESTAMP "
ms.ExecuNoQuery(sql.encode('utf-8'))
except Exception:
return
def delete_autotest_datas():
print("------开始删除测试数据-------")
ms = MYSQL(MySQL_CONFIG["HOST"], MySQL_CONFIG["USER"],
MySQL_CONFIG["PASSWORD"], MySQL_CONFIG["DB"])
try:
flow_sql = "delete from merce_flow where name like 'test%' or name like 'gjb%' or name like 'auto_api_test_%'"
dataset_sql = "delete from merce_dataset where name like 'test%' or name like 'merce%' or name like 'sink%' or name like 'gjb_test_%' "
schema_sql = "delete from merce_schema where name like 'test%' or name like 'apitest%' or name like 'gtest%'"
tenant_sql = "delete from merce_tenant where name like 'api_tenants%' order by create_time desc limit 1"
print("删除flow表测试数据 ", flow_sql)
ms.ExecuNoQuery(flow_sql.encode('utf-8'))
print("删除dataset表测试数据 ", dataset_sql)
ms.ExecuNoQuery(dataset_sql.encode('utf-8'))
print("删除schema表测试数据 ", schema_sql)
ms.ExecuNoQuery(schema_sql.encode('utf-8'))
print("删除tenant表测试数据 ", tenant_sql)
ms.ExecuNoQuery(tenant_sql.encode('utf-8'))
except:
return
#delete_autotest_datas()
# coding:utf-8
from basic_info.get_auth_token import get_headers
import unittest
import requests
from util.Open_DB import MYSQL
from basic_info.setting import MySQL_CONFIG, zmod_id, host
ms = MYSQL(MySQL_CONFIG["HOST"], MySQL_CONFIG["USER"],
MySQL_CONFIG["PASSWORD"], MySQL_CONFIG["DB"])
class CasesForZmod(unittest.TestCase):
from basic_info.url_info import query_zdaf
"""分析任务信息接口"""
def test_create_Zdaf_flow(self):
"""创建分析任务-flow"""
from basic_info.url_info import create_zmod_flow_url
# data = ["e2dbfd88-0e2d-4fa2-b145-75c1a13ab455"] # 分析模板id
response = requests.post(url=create_zmod_flow_url,
headers=get_headers(host),
json=zmod_id)
self.assertEqual(200, response.status_code, '分析任务创建失败')
self.assertEqual(zmod_id[0],
response.json()["modelId"], "分析任务的modelId不一致")
def test_query_zdaf_all(self):
"""查询所有的分析任务"""
from basic_info.url_info import query_zdaf
data = {
"fieldList": [],
"sortObject": {
"field": "lastModifiedTime",
import random
from basic_info.setting import Dsp_MySQL_CONFIG
from util.Open_DB import MYSQL
from util.logs import Logger
ms = MYSQL(Dsp_MySQL_CONFIG["HOST"], Dsp_MySQL_CONFIG["USER"],
Dsp_MySQL_CONFIG["PASSWORD"], Dsp_MySQL_CONFIG["DB"],
Dsp_MySQL_CONFIG["PORT"])
log = Logger().get_log()
def deal_parameters(data):
try:
if data:
if '随机数' in data:
data = data.replace('随机数', str(random.randint(0, 999)))
return deal_parameters(data)
if 'select id from' in data:
data_select_result = ms.ExecuQuery(data.encode('utf-8'))
new_data = []
if data_select_result:
if len(data_select_result) > 1:
for i in range(len(data_select_result)):
new_data.append(data_select_result[i]["id"])
if "select id from merce_dss" in data:
return new_data
elif "select id from merce_schema" in data:
return new_data
elif "select id from merce_role" in data:
return new_data
elif "select id from merce_user" in data:
import random
from util.format_res import dict_res
from util.timestamp_13 import *
from basic_info.setting import Compass_MySQL_CONFIG
import os
from util.Open_DB import MYSQL
from util.logs import Logger
ms = MYSQL(Compass_MySQL_CONFIG["HOST"], Compass_MySQL_CONFIG["USER"],
Compass_MySQL_CONFIG["PASSWORD"], Compass_MySQL_CONFIG["DB"],
Compass_MySQL_CONFIG["PORT"])
ab_dir = lambda n: os.path.abspath(os.path.join(os.path.dirname(__file__), n))
log = Logger().get_log()
def deal_parameters(data):
try:
if data:
if '随机数' in data:
data = data.replace('随机数',
str(random.randint(0, 999999999999999)))
return deal_parameters(data)
elif '监控开始时间' in data:
data = data.replace('监控开始时间', get_now_time()[0])
return deal_parameters(data)
elif '监控结束时间' in data:
data = data.replace('监控结束时间', get_now_time()[1])
return deal_parameters(data)
elif 'select job_pool_oid' in data:
data_select_result = ms.ExecuQuery(data.encode('utf-8'))
def get_dataflow_data(flow_name):
ms = MYSQL(MySQL_CONFIG["HOST"], MySQL_CONFIG["USER"],
MySQL_CONFIG["PASSWORD"], MySQL_CONFIG["DB"])
try:
sql = "select id, name,flow_type from merce_flow where name like '%s%%%%' order by create_time desc limit 1" % flow_name
flow_info = ms.ExecuQuery(sql.encode('utf-8'))
print("flow_id,flow_name,flow_type", flow_info[0]["id"],
flow_info[0]["name"], flow_info[0]["flow_type"])
except:
return
if "auto_api_test" in flow_name:
data = {
"configurations": {
"arguments": [],
"properties": [{
"name": "all.debug",
"value": "false",
"input": "false"
}, {
"name": "all.dataset-nullable",
"value": "false",
"input": "false"
}, {
"name": "all.optimized.enable",
"value": "true",
"input": "true"
}, {
"name": "all.lineage.enable",
"value": "false",
"input": "false"
}, {
"name": "all.debug-rows",
"value": "20",
"input": "20"
}, {
"name": "all.runtime.cluster-id",
"value": "cluster1",
"input": ["cluster1"]
}, {
"name": "dataflow.master",
"value": "yarn",
"input": "yarn"
}, {
"name": "dataflow.deploy-mode",
"value": "client",
"input": ["client", "cluster"]
}, {
"name": "dataflow.queue",
"value": "default",
"input": ["default"]
}, {
"name": "dataflow.num-executors",
"value": "2",
"input": "2"
}, {
"name": "dataflow.driver-memory",
"value": "512M",
"input": "512M"
}, {
"name": "dataflow.executor-memory",
"value": "1G",
"input": "1G"
}, {
"name": "dataflow.executor-cores",
"value": "2",
"input": "2"
}, {
"name": "dataflow.verbose",
"value": "true",
"input": "true"
}, {
"name": "dataflow.local-dirs",
"value": "",
"input": ""
}, {
"name": "dataflow.sink.concat-files",
"value": "true",
"input": "true"
}, {
"name": "dataflow.tempDirectory",
"value": "/tmp/dataflow/spark",
"input": "/tmp/dataflow/spark"
}],
"dependencies":
"",
"extraConfigurations": {},
"startTime":
1593964800000
},
"flowId": flow_info[0]["id"],
"flowName": flow_info[0]["name"],
"flowType": flow_info[0]["flow_type"],
"name": "auto_api_test_随机数",
"schedulerId": "once",
"source": "rhinos"
}
return data
elif "ES-upsert" in flow_name:
data = {
"configurations": {
"startTime":
1600617600000,
"arguments": [],
"dependencies": [],
"extraConfigurations": {},
"properties": [{
"name": "all.debug",
"value": "false",
"input": "false"
}, {
"name": "all.dataset-nullable",
"value": "false",
"input": "false"
}, {
"name": "all.optimized.enable",
"value": "true",
"input": "true"
}, {
"name": "all.lineage.enable",
"value": "false",
"input": "false"
}, {
"name": "all.debug-rows",
"value": "20",
"input": "20"
}, {
"name": "all.runtime.cluster-id",
"value": "cluster1",
"input": ["cluster1"]
}, {
"name": "dataflow.master",
"value": "yarn",
"input": "yarn"
}, {
"name": "dataflow.deploy-mode",
"value": "client",
"input": ["client", "cluster"]
}, {
"name": "dataflow.queue",
"value": "default",
"input": ["default"]
}, {
"name": "dataflow.num-executors",
"value": "2",
"input": "2"
}, {
"name": "dataflow.driver-memory",
"value": "512M",
"input": "512M"
}, {
"name": "dataflow.executor-memory",
"value": "1G",
"input": "1G"
}, {
"name": "dataflow.executor-cores",
"value": "2",
"input": "2"
}, {
"name": "dataflow.verbose",
"value": "true",
"input": "true"
}, {
"name": "dataflow.local-dirs",
"value": "",
"input": ""
}, {
"name": "dataflow.sink.concat-files",
"value": "true",
"input": "true"
}, {
"name": "dataflow.tempDirectory",
"value": "/tmp/dataflow/spark",
"input": "/tmp/dataflow/spark"
}],
"retry": {
"enable": "false",
"limit": 1,
"timeInterval": 1,
"intervalUnit": "MINUTES"
}
},
"schedulerId": "once",
"ource": "rhinos",
"version": 1,
"flowId": flow_info[0]["id"],
"flowType": flow_info[0]["flow_type"],
"name": "ES-upsert_随机数",
"creator": "admin",
"oldName": flow_info[0]["name"]
}
return data
else:
return
def __init__(self, execution_id, host):
self.ms = MYSQL(MySQL_CONFIG["HOST"], MySQL_CONFIG["USER"], MySQL_CONFIG["PASSWORD"], MySQL_CONFIG["DB"])
self.execution_id = execution_id
self.host = host
def __init__(self):
"""初始化数据库连接"""
self.ms = MYSQL(mysql_config["HOST"], mysql_config["USER"], mysql_config["PASSWORD"], mysql_config["DB"])
def __init__(self):
"""初始化数据库连接"""
self.ms = MYSQL(MySQL_CONFIG["HOST"], MySQL_CONFIG["USER"], MySQL_CONFIG["PASSWORD"], MySQL_CONFIG["DB"])
self.host = host
self.table = "flow_dataset_info.xlsx"
self.table_sheet = 'flow_info'
class ExecuteWeirdDataflow(unittest.TestCase):
# def setUp(self):
# self.ms = MYSQL(MySQL_CONFIG["HOST"], MySQL_CONFIG["USER"], MySQL_CONFIG["PASSWORD"], MySQL_CONFIG["DB"])
# self.expected_result = ['[{"name":"james","id":"6","age":"50"}]', '[{"name":"xiaowang","id":"3","age":"30"}]', '[{"name":"xiaoming","id":"1","age":"18"}]', '[{"name":"tyest","id":"4","age":"12"}]', '[{"name":"xiaohong","id":"2","age":"20"}]', '[{"name":"空","id":"5","age":"空"}]']
#
# def tearDown(self):
# pass
ms = MYSQL(MySQL_CONFIG["HOST"], MySQL_CONFIG["USER"], MySQL_CONFIG["PASSWORD"], MySQL_CONFIG["DB"])
expected_result = ['[{"name":"james","id":"6","age":"50"}]', '[{"name":"xiaowang","id":"3","age":"30"}]', '[{"name":"xiaoming","id":"1","age":"18"}]', '[{"name":"tyest","id":"4","age":"12"}]', '[{"name":"xiaohong","id":"2","age":"20"}]', '[{"name":"空","id":"5","age":"空"}]']
#
def test_create_scheduler(self):
print("开始执行test_create_scheduler(self)")
data = get_dataflow_data('tc_auto_df_sink_hdfs_path使用$进行分区、使用sliceTimeColumn1545633382888')
res = requests.post(url=create_scheduler_url, headers=get_headers(HOST_189), json=data)
print(res.url)
print(res.status_code)
self.assertEqual(201, res.status_code, '创建scheduler失败，失败原因%s' % res.text)
self.assertNotEqual(res.json().get('id', 'scheduler创建可能失败了'), 'scheduler创建可能失败了')
# scheduler_id = res.json()['id']
# print('---------scheduler_id-------', scheduler_id)
# print(res.json()["id"])
return res.json()['id']
def test_get_execution_info(self):
print("开始执行get_execution_info(self)")
scheduler_id = self.test_create_scheduler()
e_status_format = {'type': 'READY'}
while e_status_format["type"] in ("READY", "RUNNING"):
time.sleep(5)
execution_sql = 'select id, status_type, flow_id, flow_scheduler_id from merce_flow_execution where flow_scheduler_id = "%s"' % scheduler_id
time.sleep(20)
print(execution_sql)
select_result = self.ms.ExecuQuery(execution_sql)
print(select_result)
e_status_format["type"] = select_result[0]["status_type"]
# e_status_format = dict_res(e_status)
if e_status_format['type'] == 'SUCCEEDED':
self.assertEqual('SUCCEEDED', e_status_format['type'])
print('select_result: \n', select_result)
return select_result
else:
return None
def test_get_dataset_id(self):
"""获取execution的id和状态, 最终返回execution执行成功后的dataset id """
e_info = self.test_get_execution_info()
if e_info:
data_json_sql = 'select b.dataset_json from merce_flow_execution as a LEFT JOIN merce_flow_execution_output as b on a.id = b.execution_id where a.id ="%s"' % e_info[0]["id"]
data_json = self.ms.ExecuQuery(data_json_sql)
sink_dataset_list = []
for n in range(len(data_json)):
sink_dataset = data_json[n]["dataset_json"] # 返回结果为元祖
sink_dataset_id = dict_res(sink_dataset)["id"] # 取出json串中的dataset id
sink_dataset_list.append(sink_dataset_id)
print('----------sink_dataset_list----------', sink_dataset_list)
return sink_dataset_list
else:
return None
def test_test_check_result(self):
''' 返回多dataset且ID会变，对该flow的校验 '''
sink_dataset_list = self.test_get_dataset_id()
if sink_dataset_list:
L = []
for dataset_id in sink_dataset_list:
priview_url = "%s/api/datasets/%s/preview?rows=5000&tenant=2d7ad891-41c5-4fba-9ff2-03aef3c729e5" % (HOST_189, dataset_id)
result = requests.get(url=priview_url, headers=get_headers(HOST_189))
L.append(result.text)
different_result = [i for i in self.expected_result if i not in L]
self.assertEqual(len(self.expected_result), len(L))
self.assertEqual(different_result, [])
else:
return None
def __init__(self):
self.ms = MYSQL(MySQL_CONFIG["HOST"], MySQL_CONFIG["USER"], MySQL_CONFIG["PASSWORD"], MySQL_CONFIG["DB"])
def get_dataflow_data(flow_name):
print("开始执行get_dataflow_data(flow_name)")
ms = MYSQL(MySQL_CONFIG["HOST"], MySQL_CONFIG["USER"],
MySQL_CONFIG["PASSWORD"], MySQL_CONFIG["DB"])
try:
sql = 'select id, flow_type from merce_flow where name = "%s"' % flow_name
flow_info = ms.ExecuQuery(sql)
print(sql)
print('flow_info:', flow_info)
except Exception as e:
raise e
else:
try:
flow_id = flow_info[0]["id"]
flow_type = flow_info[0]["flow_type"]
# print(flow_name, flow_type)
except KeyError as e:
raise e
data = {
"configurations": {
"arguments": [],
"properties": [{
"name": "all.debug",
"value": "false"
}, {
"name": "all.dataset-nullable",
"value": "false"
}, {
"name": "all.lineage.enable",
"value": "true"
}, {
"name": "all.notify-output",
"value": "false"
}, {
"name": "all.debug-rows",
"value": "20"
}, {
"name": "dataflow.master",
"value": "yarn"
}, {
"name": "dataflow.deploy-mode",
"value": "client"
}, {
"name": "dataflow.queue",
"value": "merce.normal"
}, {
"name": "dataflow.num-executors",
"value": "2"
}, {
"name": "dataflow.driver-memory",
"value": "512M"
}, {
"name": "dataflow.executor-memory",
"value": "1G"
}, {
"name": "dataflow.executor-cores",
"value": "2"
}, {
"name": "dataflow.verbose",
"value": "true"
}, {
"name": "dataflow.local-dirs",
"value": ""
}, {
"name": "dataflow.sink.concat-files",
"value": "true"
}],
"startTime":
get_time()
},
"flowId": flow_id,
"flowName": flow_name,
"flowType": flow_type,
"name": flow_name + str(random.randint(0, 99999)),
"schedulerId": "once",
"source": "rhinos"
}
return data
def __init__(self, execution_id):
self.ms = MYSQL(mysql_config["HOST"], mysql_config["USER"],
mysql_config["PASSWORD"], mysql_config["DB"])
self.execution_id = execution_id
self.host = HOST
from new_api_cases.get_statementId import statementId_flow_use, preview_result_flow_use
from util.Open_DB import MYSQL
from basic_info.setting import MySQL_CONFIG
from basic_info.setting import host
from util.format_res import dict_res
host_for_url = host
# excel_dir=os.path.join(os.path.abspath(".."),r"api_test_cases\flow_dataset_info.xlsx")
table = abs_dir("flow_dataset_info.xlsx")
host = MySQL_CONFIG["HOST"]
port = MySQL_CONFIG["PORT"]
user = MySQL_CONFIG["USER"]
pwd = MySQL_CONFIG["PASSWORD"]
db = MySQL_CONFIG["DB"]
ms = MYSQL(host, user, pwd, db, port)
flow_table = load_workbook(table)
sheet = flow_table.get_sheet_by_name("flink")
max_rows = sheet.max_row
print(max_rows)
def get_flow_id():
flow_id_list = []
for i in range(2, max_rows + 1):
flow_id_list.append(sheet.cell(row=i, column=2).value)
return flow_id_list
def data_for_exe():
data_for_exe_list = []
