A very simple system for monitoring web applications, using raw python code with splinter in its tasks. It does not even use the database. All tasks are run inside of docker container, for better system safety.
Inside of docker container we have splinter and headless chrome browser, so you can wrote something like this:
from splinter import Browser
with Browser('chrome') as browser:
# Visit URL
url = "http://www.google.com"
browser.visit(url)
browser.fill('q', 'splinter - python acceptance testing for web applications')
# Find and click the 'search' button
button = browser.find_by_css('.lsb')
# Interact with elements
button.click()
if browser.is_text_present('splinter.readthedocs.io'):
print("Yes, the official website was found!")
else:
print("No, it wasn't found... We need to improve our SEO techniques")And it will run correctly.
If you like to change docker image for your needs, maybe you should checkout branch docker-image.
After creating your own image you should set its name in settings.py (or local_settings.py).
DOCKER_IMAGE_NAME = 'milashensky/measor_tasks_runner'Main interface
You can put
print("something")
function in your task code to indicate it's execution. Task will be marked as
success
if it's execution ended without unhandled exceptions. So you can use
assert
or
raise.
Task details view
Create/Edit interface
- Install docker. You can find the install information by clicking on this link.
- Clone repository
- Install requirements and clone docker image of runner:
make - Create user:
./manage.py create_user - Start:
./manage.py runserver - Create first task and enjoy!
The container will continue to execute tasks after the web panel has stopped working, so if you need to stop it run
make kill_docker
You can get tasks info JSON from Measor to your application using uri:
/api/stats/
timestamp (to make sure everything works) and summary info about all tasks.
/api/task/?last_statuses=n
detailed tasks info and n of last statuses in format {timestamp: status}