Python module to simplify common tasks when developing microservices for the Sesam integration platform.
Environment Variables
You can use the VariablesConfig class to load environment variables into your service. It requires a list of required variables. It also support an optional list of variables as a second argument.
from sesamutils import VariablesConfig
import sys
required_env_vars = ["username", "password", "hostname"]
optional_env_vars = ["debug", ("auth_type", "user")] # Default values can be given to optional environment variables by the use of tuples
config = VariablesConfig(required_env_vars, optional_env_vars=optional_env_vars)
if not config.validate():
sys.exit(1)
print(config.username)Dotdictify
A class to help traversing and modifying large nested dictionaries. Lets you navigate by dot notation.
from sesamutils import Dotdictify
example_dict = {
"test": {
"my_thing": "hello"
}
}
dot_dict = Dotdictify(example_dict)
print(dot_dict.test.my_thing)
# helloProfiler
You can use this (A profiling decorator) to see complete details of execution time taken by a function in your program. Based on that, you can optimize your python code if required.
from sesamutils import profiler
@profiler
def <Name of your method>():
<your method definition>
# Apply to any function with @profiler
# Profiles the function using cProfile, and prints out a report to screen.
# belwo are few lines for illustration purpose.
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 0.312 0.312 C:/Work/PycharmProjects/node-notification-handler/service/notification-handler.py:143(get_node_members_and_roles)
2 0.000 0.000 0.311 0.156 C:\Users\ravish.ranjan\AppData\Local\Programs\Python\Python36\lib\site-packages\requests\sessions.py:537(get)
2 0.000 0.000 0.311 0.156 C:\Users\ravish.ranjan\AppData\Local\Programs\Python\Python36\lib\site-packages\requests\sessions.py:466(request)
2 0.000 0.000 0.309 0.154 C:\Users\ravish.ranjan\AppData\Local\Programs\Python\Python36\lib\site-packages\requests\sessions.py:617(send)
2 0.000 0.000 0.308 0.154 C:\Users\ravish.ranjan\AppData\Local\Programs\Python\Python36\lib\site-packages\requests\adapters.py:394(send)
2 0.000 0.000 0.306 0.153 C:\Users\ravish.ranjan\AppData\Local\Programs\Python\Python36\lib\site-packages\urllib3\connectionpool.py:446(urlopen)
2 0.000 0.000 0.306 0.153 C:\Users\ravish.ranjan\AppData\Local\Programs\Python\Python36\lib\site-packages\urllib3\connectionpool.py:319(_make_request)
1 0.000 0.000 0.258 0.258 C:\Work\PycharmProjects\node-notification-handler\service\portal.py:34(get_subscription_members)Sesam Logger
You can use this to save time and lines of code. It provides the standard customization of root level logging- configuration and gives you SESAM uniform standard settings.
from sesamutils import sesam_logger
logger = sesam_logger('<name of your module or logger>')Default log level is 'INFO'. To set a different level, you need to provide the environment variable 'LOG_LEVEL'. Since the microservice log view in the Sesam portal gets it's own timestamps directly from docker, this logger does not print timestamps by default. However if you want to log timestamps regardless, you can enable timestamps like this:
logger = sesam_logger('<name of your module or logger>', timestamp=True)If your app is using Flask and cherrypy, you can enable request logging by sending the app instance to sesam_logger like this:
logger = sesam_logger('<name of your module or logger>', app=<Flask app instance>)Serve Flask app
When writing microservices using Flask, we don't want to use the built-in development web server as this among other things doesn't set content-length or support chunked encoding (streams).
To mitigate this we use cherrypy to serve our Flask microservices. To simplify this task, you can use our serve function:
...
from sesamutils.flask import serve
app = Flask(__name__)
...
if __name__ == "__main__":
serve(app)To define another port than the default (5000), you can do:
serve(app, port=<port>)pip install sesamutils