basepy

Basic library for python 3.6+, includes:

• config loader
• structure logger
• program metrics (statsd)
• exception logger (via sentry)
• datastructures for asyncio

log

Very simple and powerful log system, support structure log. It's not depends on python builtin logging module.

import asyncio
from basepy.asynclog import logger

logger.add("stdout")

async def main():
    await logger.info("hello")
    await logger.info("stuct", a=1, b=2, hello='world')


asyncio.run(main())

And the code will generated.

[2020-02-01 11:42:07 +0800] [local.72267] [INFO] [hello]
[2020-02-01 11:42:07 +0800] [local.72267] [INFO] [stuct] [a = 1] [b = 2] [hello = "world"]

config

Config module is easy and powerful settings configuration with following features.

1. keep secrets related in sperate file .secrets.toml
2. keep local config in sperate file settings.local.toml or .secrets.local.toml, the local settings will override the settings for the same key.

So, config files should looks like

application
├── .secrets.local.toml
├── .secrets.toml
├── settings.local.toml
└── settings.toml

The .secrets.toml should contains several keys, like

signing_secret = "local_a"
access_token = "local_b"

To access secrets in program, just use settings.secrets

from basepy.config import settings

print(settings.secrets.signing_secret) # will print "local_a"

The settings.toml can contains very complex setting, for example

[log]
    handlers = ["stdout", "local_fluent"]

    [log.stdout]
    handler_type = "stdout"
    level = "debug"

    [log.local_fluent]
    handler_type = "fluent"
    host = "127.0.0.1"
    port = 24224
    tag = "basepy"
    level = "info"

To access normal setting, just use settings.key

from basepy.config import setting
print(setting.log.handlers)

more

Please refer the docs directory.