Quick and easy logging parameters for click commands.
Project description
Quick and easy CLI logging options for click commands using a Python decorator.
I found myself implementing logging preferences repeatedly for utilities. Logging configuration is pretty simple, but for each new implementation I would find myself spending time researching the same options to refresh my memory and then implementing something slightly different than the last time. 🙄
click-logging-config is my attempt to stop the circle of re-implementation with settings that are useful enough, with configurability to change it if you don’t like the out-of-box behaviour. It’s proving to be pretty useful and I’m already using it across several of my other projects. 😄
It is released under the MIT license so you are free to use it in lots of different ways. As simple as it looks, a tool like this still represents research time and implementation effort, so please use the link below to help support development.
Take a byte off.
1 Installation
The click-logging-config package is available from PyPI. Installing into a virtual environment is recommended.
python3 -m venv .venv; .venv/bin/pip install click-logging-config
2 Getting Started
Using click-logging-config is intended to be very simple. A single decorator applied to your click command or group adds some click options specifically for managing logging context.
import click
import logging
from click_logging import logging_parameters
log = logging.getLogger(__name__)
def do_something()
pass
@click.command()
@click.option("--my-option", type=str)
# NOTE: Empty braces are required for hard-coded click-logging-config defaults.
@logging_parameters()
def my_command(my_option: str) -> None:
log.info("doing something")
try:
do_something(my_option)
except Exception as e:
log.critical(f"something bad happened, {str(e)}")
raise
Application of the @logging_parameters decorator must be applied immediately above your click command function and below any other click decorators such as arguments and options.
Having applied the decorator, your command now has the following options available to it.
--log-console-enable / --log-console-disable
Enable or disable console logging.
[default: log-console-disable]
--log-console-json-enable / --log-console-json-disable
Enable or disable console JSON logging.
[default: log-console-json-disable]
--log-file-enable / --log-file-disable
Enable or disable file logging.
[default: log-file-enable]
--log-file-json-enable / --log-file-json-disable
Enable or disable file JSON logging.
[default: log-file-json-enable]
--log-file FILE The log file to write to. [default: this.log]
--log-level [critical|error|warning|info|debug|notset]
Select logging level to apply to all enabled
log sinks. [default: warning]
Note that the single log level configuration parameter applies to both console and file logging.
The internal defaults are configured for an interactive utility (run by a human in a terminal rather than via automation, or in a container). In summary,
disabled console logging (allows your application to use console output, if needed)
enabled file logging (1MB rotation size, with 10 rotation backups)
“warning” log level
3 Custom defaults
If you don’t like the click-logging-config internal defaults for the options you can define your own. The LoggingConfiguration class is derived from pydantic.BaseModel, so one easy way to define your defaults is using a dictionary. You only need to define values you want to change - any other value will continue using the internal defaults.
import pathlib
import click
import logging
from click_logging import logging_parameters, LoggingConfiguration
log = logging.getLogger(__name__)
MY_LOGGING_DEFAULTS = LoggingConfiguration.parse_obj(
{
"file_logging": {
# NOTE: file path must be specified using pathlib.Path
"log_file_path": pathlib.Path("some_other.log"),
},
"log_level": "info",
}
)
def do_something()
pass
@click.command()
@click.option("--my-option", type=str)
@logging_parameters(MY_LOGGING_DEFAULTS)
def my_command(my_option: str) -> None:
log.info("doing something")
try:
do_something(my_option)
except Exception as e:
log.critical(f"something bad happened, {str(e)}")
raise
The table below summarizes the available settings for defaults. Otherwise review the LoggingConfiguration class definition .
Setting |
Type |
Hard default |
Description |
---|---|---|---|
log_level |
str |
warning |
Define log level |
enable_console_logging |
boolean |
False |
Enable console logging |
console_logging |
dict |
Console logging specific settings. See table below. |
|
enable_file_logging |
bool |
True |
Enable file logging |
file_logging |
dict |
File logging specific settings. See table below. |
Setting |
Type |
Hard default |
Description |
---|---|---|---|
json_enabled |
bool |
False |
Output JSON logs using json_log_formatter |
Setting |
Type |
Hard default |
Description |
---|---|---|---|
json_enabled |
bool |
True |
Output JSON logs using json_log_formatter |
log_file_path |
pathlib.Path |
./this.log |
Path and name of log file. |
file_rotation_size_megabytes |
int |
1 |
Maximum size of |
max_rotation_backup_files |
int |
10 |
Maximum number of rotation backup files |
4 Console logging
Console logging can be enabled or disabled, and there is an additional option to output line-by-line text based timestamped log entries, or JSON logging via the json_log_formatter framework. The format of text based log entries cannot be configured at this time and console logging is always emitted to stderr at this time.
5 File logging
File rotation on the file log is implemented as a “sensible default” - it cannot be disabled at this time, although you might be able to specify a maximum rotation of 1 to achieve the same end (not tested). The maximum rotation size can be specified as a configuration default. File logging itself can be enabled or disabled via defaults or the CLI options described above.
Similar to console logging the format can be as either text-based or JSON logging.
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