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Monkey 配置

https://github.com/tsbxmw/monkey_tcloud

Tcloud 配置

local_config.py 配置以下几项

# Jenkins url
CI_AUTO_MAN_JENKINS_URL = 'JenkinsURL 填写对应的本地路径'
# Jenkins Auth
CI_AUTO_MAN_JENKINS_AUTH = {
    "username": "用户名",
    "password": "密码"
}
# Jenkins job name
CI_AUTO_MAN_JENKINS_MONKEY_JOB = 'monkey_autotest'
# OSS report dir
CI_REPORT_FILE_ADRESS = ""
# JOBS url
CI_JOB_ADDRESS = f"{CI_AUTO_MAN_JENKINS_URL}/job"

Jenkins 配置

Jobs 配置

新建 job : monkey_autotest

类型选择 Pipeline

然后选择参数化构建过程

id type remark
PackageName String type 运行的 android 包名
DefaultAppActivity String type app 默认启动的 Activity
DeviceName String type 运行的设备的 device id (序列号)
RunTime String type 运行时间 单位分钟
AppDownloadUrl String type app 下载路径
PATH String type PATH
RunMode String type Monkey运行模式。 mix: 类monkey模式。70%控件解析随机点击,其余30%按原Monkey事件概率分布。支持android版本>=5 dfs: DFS深度遍历算法。支持android版本>=6
MonkeyId String type tcloud 相关参数,定位 build id
TaskId String type tcloud 相关参数,定位 当前设备测试的 id
TcloudUrl String type tcloud 相关参数,api根 url
SystemDevice Bool type 是否是 系统设备,未使用
InstallAppRequired String type 是否需要安装 App, 1需要,2不需要
LoginRequired Bool type 是否需要登录,未使用
LoginUsername String type 登录用的用户名, 未使用
LoginPassword String type 登录用的密码,未使用
BuildBelong String type 未使用

配置 pipeline

注意,需要配置 Node 的 lable 为 stf 才可以使用对应的 pipeline 脚本

Nodes 配置

增加新的 node 用来运行 monkey 测试,这里使用的是 stf 所在机器,使用的 label 和 name 为 stf

Node 所在设备配置

运行环境设置: 安装以下软件;注意:一定要使用 python3.7 及以上 版本

git
adb
python3.7.3

获取 monkey 脚本

git clone https://github.com/tsbxmw/monkey_tcloud

进入目录 monkey_tcloud, 安装 module 依赖包

cd monkey_tcloud
pip install -r requirement.txt

看到下面输出,认为已经安装成功

pip install -r requirement.txt
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting requests
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/51/bd/23c926cd341ea6b7dd0b2a00aba99ae0f828be89d72b2190f27c11d4b7fb/requests-2.22.0-py2.py3-none-any.whl (57kB)
     |████████████████████████████████| 61kB 2.0MB/s
Collecting urllib3
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/e0/da/55f51ea951e1b7c63a579c09dd7db825bb730ec1fe9c0180fc77bfb31448/urllib3-1.25.6-py2.py3-none-any.whl (125kB)
     |████████████████████████████████| 133kB 3.3MB/s
Collecting python-jenkins
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/ab/22/7099a997bdbaa1105758b577c7c35705a68bda40226e8c0df2415245a081/python_jenkins-1.5.0-py2.py3-none-any.whl
Collecting prettytable
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/ef/30/4b0746848746ed5941f052479e7c23d2b56d174b82f4fd34a25e389831f5/prettytable-0.7.2.tar.bz2
Collecting oss2
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/37/7f/feca82c4a73dd2d22d65cfd3eb3b7f7e5b9c3b89bf7a574a1638b11f1b19/oss2-2.8.0.tar.gz (171kB)
     |████████████████████████████████| 174kB 6.4MB/s
Collecting argparse
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f2/94/3af39d34be01a24a6e65433d19e107099374224905f1e0cc6bbe1fd22a2f/argparse-1.4.0-py2.py3-none-any.whl
Collecting chardet<3.1.0,>=3.0.2
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/bc/a9/01ffebfb562e4274b6487b4bb1ddec7ca55ec7510b22e4c51f14098443b8/chardet-3.0.4-py2.py3-none-any.whl (133kB)
     |████████████████████████████████| 143kB ...
Collecting idna<2.9,>=2.5
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/14/2c/cd551d81dbe15200be1cf41cd03869a46fe7226e7450af7a6545bfc474c9/idna-2.8-py2.py3-none-any.whl (58kB)
     |████████████████████████████████| 61kB 3.8MB/s
Collecting certifi>=2017.4.17
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/18/b0/8146a4f8dd402f60744fa380bc73ca47303cccf8b9190fd16a827281eac2/certifi-2019.9.11-py2.py3-none-any.whl (154kB)
     |████████████████████████████████| 163kB 6.8MB/s
Collecting six>=1.3.0
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/73/fb/00a976f728d0d1fecfe898238ce23f502a721c0ac0ecfedb80e0d88c64e9/six-1.12.0-py2.py3-none-any.whl
Collecting pbr>=0.8.2
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/46/a4/d5c83831a3452713e4b4f126149bc4fbda170f7cb16a86a00ce57ce0e9ad/pbr-5.4.3-py2.py3-none-any.whl (110kB)
     |████████████████████████████████| 112kB 6.4MB/s
Collecting multi-key-dict
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/6d/97/2e9c47ca1bbde6f09cb18feb887d5102e8eacd82fbc397c77b221f27a2ab/multi_key_dict-2.0.3.tar.gz
Collecting crcmod>=1.7
  Using cached https://pypi.tuna.tsinghua.edu.cn/packages/6b/b0/e595ce2a2527e169c3bcd6c33d2473c1918e0b7f6826a043ca1245dd4e5b/crcmod-1.7.tar.gz
Collecting pycryptodome>=3.4.7
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/5c/cd/142130177b525c570229df0e2b3bd3cd2365b041dfee4685444d9bd477b1/pycryptodome-3.9.0-cp37-cp37m-win32.whl (10.1MB)
     |████████████████████████████████| 10.1MB 3.2MB/s
Collecting aliyun-python-sdk-kms>=2.4.1
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/d7/cd/a708ffe449138d8eb15a2018d31f131c4d38a5befc0668348620e1398e71/aliyun-python-sdk-kms-2.8.0.tar.gz
Collecting aliyun-python-sdk-core-v3>=2.5.5
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/3e/c9/c05affc50e393b79771f0731df4fb37bb34ef51c5b6e4ff02009dd390723/aliyun_python_sdk_core_v3-2.13.10-py3-none-any.whl (526kB)
     |████████████████████████████████| 532kB 6.4MB/s
Collecting aliyun-python-sdk-core>=2.11.5
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/15/ac/50f39b0c26433b4d7951a0b7461d6bf0709541bb82ce4f9e41a9df0d8492/aliyun_python_sdk_core-2.13.10-py3-none-any.whl (526kB)
     |████████████████████████████████| 532kB 6.4MB/s
Collecting jmespath<1.0.0,>=0.9.3
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/83/94/7179c3832a6d45b266ddb2aac329e101367fbdb11f425f13771d27f225bb/jmespath-0.9.4-py2.py3-none-any.whl
Building wheels for collected packages: prettytable, oss2, multi-key-dict, crcmod, aliyun-python-sdk-kms
  Building wheel for prettytable (setup.py) ... done
  Created wheel for prettytable: filename=prettytable-0.7.2-cp37-none-any.whl size=13706 sha256=c7c7f273ff96abe16bec57e1785f10925351135c23391641879a4a3ee0b9afc3
  Stored in directory: C:\Users\MengWei\AppData\Local\pip\Cache\wheels\00\cd\6a\278898c4aa48b8f3f30ccdbec499655637eef63b486d3f6bec
  Building wheel for oss2 (setup.py) ... done
  Created wheel for oss2: filename=oss2-2.8.0-cp37-none-any.whl size=79676 sha256=4d789c7325b888f9367fb55be2e642f8f851e210fbb2cbc2878f73919631c13c
  Stored in directory: C:\Users\MengWei\AppData\Local\pip\Cache\wheels\7c\49\1c\43ba7d1da4c2881aa74c9937b2ffba834493912a177d068ed3
  Building wheel for multi-key-dict (setup.py) ... done
  Created wheel for multi-key-dict: filename=multi_key_dict-2.0.3-cp37-none-any.whl size=9304 sha256=8683ae06205e6b2f9ce76afd975860bf4ac816751a4d1f0a2c6c36ac0654ac35
  Stored in directory: C:\Users\MengWei\AppData\Local\pip\Cache\wheels\e2\43\d7\6bdfc01fd1a346a7134f0048cc7a8c3f453ed2d0c0b11084e9
  Building wheel for crcmod (setup.py) ... done
  Created wheel for crcmod: filename=crcmod-1.7-cp37-cp37m-win32.whl size=24635 sha256=8a73279eb6625cd22f6e5570a76393c31fcff97b1a0e864b4da5a97a67439bda
  Stored in directory: C:\Users\MengWei\AppData\Local\pip\Cache\wheels\8b\8e\47\f5438529bcd5b472988aece2224377ba4772b2caf4d34dc151
  Building wheel for aliyun-python-sdk-kms (setup.py) ... done
  Created wheel for aliyun-python-sdk-kms: filename=aliyun_python_sdk_kms-2.8.0-cp37-none-any.whl size=30136 sha256=665096611e05feacd993420912fb4161cf2192d0107ba4477ef2eb27b0ac32a0
  Stored in directory: C:\Users\MengWei\AppData\Local\pip\Cache\wheels\b2\41\97\a44b04b7f277c55b610df0bdf479bb855c3b137cd4d96946f5
Successfully built prettytable oss2 multi-key-dict crcmod aliyun-python-sdk-kms
Installing collected packages: chardet, idna, urllib3, certifi, requests, six, pbr, multi-key-dict, python-jenkins, prettytable, crcmod, pycryptodome, jmespath, aliyun-python-sdk-core, aliyun-python-sdk-kms, aliyun-python-sdk-core-v
3, oss2, argparse
Successfully installed aliyun-python-sdk-core-2.13.10 aliyun-python-sdk-core-v3-2.13.10 aliyun-python-sdk-kms-2.8.0 argparse-1.4.0 certifi-2019.9.11 chardet-3.0.4 crcmod-1.7 idna-2.8 jmespath-0.9.4 multi-key-dict-2.0.3 oss2-2.8.0 pb
r-5.4.3 prettytable-0.7.2 pycryptodome-3.9.0 python-jenkins-1.5.0 requests-2.22.0 six-1.12.0 urllib3-1.25.6

测试脚本运行状况

python -m automonkey run

可以看到一下输出的话,认为配置成功

python -m automonkey run -h
usage: python -m automonkey run [-h] [--package-name PACKAGE_NAME]
                                [--device-name DEVICE_ID]
                                [--run-time RUN_TIME]
                                [--app-download-url APP_DOWNLOAD_URL]
                                [--run-mode RUN_MODE]
                                [--build-belong BUILD_BELONG]
                                [--install-app-required INSTALL_APP_REQUIRED]
                                [--system-device SYSTEM_DEVICE]
                                [--login-required LOGIN_REQUIRED]
                                [--login-username LOGIN_USERNAME]
                                [--login-password LOGIN_PASSWORD]
                                [--default-app-activity DEFAULT_APP_ACTIVITY]
                                [--task-id TASK_ID] [--monkey-id MONKEY_ID]
                                [--tcloud-url TCLOUD_URL]

optional arguments:
  -h, --help            show this help message and exit
  --package-name PACKAGE_NAME, -pn PACKAGE_NAME
  --device-name DEVICE_ID, -dn DEVICE_ID
  --run-time RUN_TIME, -rt RUN_TIME
  --app-download-url APP_DOWNLOAD_URL, -adu APP_DOWNLOAD_URL
  --run-mode RUN_MODE, -rm RUN_MODE
  --build-belong BUILD_BELONG, -bb BUILD_BELONG
  --install-app-required INSTALL_APP_REQUIRED, -iar INSTALL_APP_REQUIRED
  --system-device SYSTEM_DEVICE, -sd SYSTEM_DEVICE
  --login-required LOGIN_REQUIRED, -lr LOGIN_REQUIRED
  --login-username LOGIN_USERNAME, -lu LOGIN_USERNAME
  --login-password LOGIN_PASSWORD, -lp LOGIN_PASSWORD
  --default-app-activity DEFAULT_APP_ACTIVITY, -daa DEFAULT_APP_ACTIVITY
  --task-id TASK_ID, -tid TASK_ID
  --monkey-id MONKEY_ID, -mid MONKEY_ID
  --tcloud-url TCLOUD_URL, -turl TCLOUD_URL

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Tcloud中集成的Monkey自动化

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