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Python using logsense-logger-python

Step 1: Install the plugin

pip3 install -e git+https://github.com/collectivesense/logsense-logger-python#egg=logsense-logger

Step 2: Use it

Plain logging

An example of using the plugin for regular logging purposes is following:

from logsense.handler import LogSenseHandler
from os import getenv
import logging

logsense_token = getenv('LOGSENSE_TOKEN', None)

class Example:
    def __init__(self):
        self.bar = 42

    def foo(self):
        logging.info("Answer: {}".format(self.bar))

if __name__ == "__main__":
    ex = Example()

Now, just run the app, e.g.

LOGSENSE_TOKEN="aaaaaa-1111-bbbbbb" python sample_logging.py

And your logs should flow to LogSense.


The package also includes a simple example on measuring method duration. All that needs to be done is providing LOGSENSE_TOKEN environment variable and than annotating methods that are to be measure with @measure_duration(). For example:

from logsense.metrics import measure_duration, setup_metrics
from os import getenv

logsense_token = getenv('LOGSENSE_TOKEN')
setup_metrics('myapp', logsense_token)

class MyComplexProcess:
    def __init__(self, how_many_times):
        self._how_many_times = how_many_times

    def foo(self, a):
        x = 0
        for i in range(a*self._how_many_times):
            x = x+1
        return x

Now, execution duration of foo will be tracked and sent to LogSense.


To run it, execute following:

$ pip install Flask
$ LOGSENSE_TOKEN=<your token> FLASK_APP=index.py flask run

The example starts a basic HTTP server. Another example script can be use to execute calls and get a collection of records:

$ ./benchmark.py

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