STF client with appium
Project description
OpenSTF+Appium Client for test automation
Library provides basic functionality for test automation which allows allocating phone from STF server using python stf-client, initialise adb connection to it and start [appium][https://github.com/appium/python-client] server for it.
Basic idea is to run tests against remote openstf device farm with minimum requirements.
Flow
sequenceDiagram
participant C as User
participant A as stf-appium-client
participant B as STF(device)
C->>A: allocation_context(requirements, wait_timeout, timeout, shuffle)
A->>B: Find suitable device
A->>B: allocate device
A->>B: remoteConnect
A->>B: ADB Connection
A->>A: Start AppiumServer(ADB)
A->>A: Start AppiumClient(AppiumServer)
A->>C: AppiumClient(AppiumServer(ADB))
C->>A: Run Appium Tests
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
Prerequisites
- openstf server and access token
- python >=3.8
- adb
- appium (
npm install appium
) Library expects that appium is located to PATH- appium 2 (
npm install appium@next
)- remember to install appium drivers, e.g.
appium driver install uiautomator2
- remember to install appium drivers, e.g.
- appium 1
- note that appium server and client need to be compatible with each other!
- see compatibility matrix from python-client readme
- appium 2 (
Installing
pip install stf-appium-client
or for development purpose:
pip install -e .
Running the tests
make test
CI runs tests against following environments:
ubuntu-latest | macos-latest | windows-latest | |
---|---|---|---|
3.7 | ✓ | ✓ | ✓ |
3.8 | ✓ | ✓ | ✓ |
3.9 | ✓ | ✓ | ✓ |
3.10 | ✓ | ✓ | ✓ |
3.11 | ✓ | ✓ | ✓ |
Deployment
This pip package could be installed together with test framework and utilise using CLI interface or via python interface. See more usage examples below.
usage
Python Library
client = StfClient(host=environ.get('STF_HOST'))
client.connect(token=environ.get('STF_TOKEN'))
with client.allocation_context(
requirements=dict(version='10')) as device:
print('phone is now allocated and remote connected')
with AdbServer(device['remote_adb_url']) as adb_port:
print('adb server started with port: {adb_port}')
with AppiumServer() as appium:
print("Phone is ready for test automation..")
# appium is running and ready for usage
with AppiumClient() as driver:
print(driver)
See examples from examples -folder.
Logging
Library utilise python native logging module. Logger name is StfAppiumClient
.
By default it configure default console handler for logger with INFO
level.
STF_APPIUM_LOGGING
env variable can be used to use DEBUG
logging level.
If any handlers for this logger is configured before StfClient
instance
creation no default handlers are added.
CLI
stf --token 123456 --requirements "{\"version\": \"9\"}" "echo $DEV1_SERIAL"
Call robot framework
stf --token 123456 --requirements "{\"version\": \"9\"}" "robot phone/suite"
$ stf --help
usage: stf [-h] --token TOKEN [--host HOST] [--requirements R] [--list]
[command [command ...]]
STF client with appium.
Tool allocate phone, create adb and appium server and
call user given command with generated env variables:
DEV1_ADB_PORT ADB PORT that appium utilize.
DEV1_APPIUM_HOST appium host where user given command can connect, e.g. robot framework
DEV1_SERIAL device details..
DEV1_VERSION
DEV1_REQUIREMENTS user given requirements
DEV1_INFO phone details
Example: stf --token 123 -- echo \$DEV1_SERIAL
positional arguments:
command Command to be execute during device allocation
optional arguments:
-h, --help show this help message and exit
--token TOKEN openstf access token
--host HOST openstf host
--list list only requirements, filtered on given requirements
--requirements R requirements as json string
--timeout t allocation timeout
--wait_timeout w max wait time for suitable device allocation
--verbose appium logs to console. WARNING: this mix console prints
--appium-logs file appium logs to file
License
This project is licensed under the MIT License - see the LICENSE file for details
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