Tiny python debugging utility like node.js debug module
Project description
py-ndebug
Tiny python debugging utility modeled after visionmedia's node.js debug module and the python 3 print function.
Installation
$ pip install ndebug
Usage
With create
you simply invoke the exported function to generate your debug function, passing it a name which will determine if a noop function is returned, or custom decorated function that emulates the python 3 print
function but, by default, prints to sys.stderr
. A unique color is selected per-function for visibility.
Example test.py:
import ndebug
import time
#
# ndebug.create(name)
#
# once you have initialized the debug module you can call it as shown below
#
# debug(*objects, sep=' ', end='\n', file=sys.stderr, flush=False)
#
debug = ndebug.create("test")
debug("hi there2")
debug2 = ndebug.create("test2")
debug2("awesome")
debug({"awesome": True}, True, 1, "test")
debug([], {1,2,3}, {"awesome": True}, True, 1, "test")
time.sleep(0.1)
debug('should be milliseconds now')
time.sleep(1)
debug('should be seconds now')
The DEBUG environment variable is then used to enable these based on space or comma-delimited names. Here are some examples:
$ DEBUG=* python -m examples
$ DEBUG=examples:test1 python -m examples
$ DEBUG=examples:test2 python -m examples
$ DEBUG=examples:* python -m examples
Microsecond diff
When actively developing an application it can be useful to see when the time spent between one debug()
call and the next. Suppose for example you invoke debug()
before requesting a resource, and after as well, the "+NNNus" will show you how much time was spent between calls.
When File is not a TTY
When the file is not a TTY, to_utc_string()
is called which mimicks the default behavior of the Javascript Date#toUTCString()
method used in the node.js debug module, making it more useful for logging the debug information as shown below
$ DEBUG=* python -m examples 2>&1 | grep test
$ DEBUG=* python -m examples 2>&1 | grep test2
Conventions
If you're using this in one or more of your libraries, you should use the name of your library so that developers may toggle debugging as desired without guessing names. If you have more than one debuggers you should prefix them with your library name and use ":" to separate features. For example "bodyParser" from Connect would then be "connect:bodyParser".
Wildcards
The "*" character may be used as a wildcard. Suppose for example your library has debuggers named "connect:bodyParser", "connect:compress", "connect:session", instead of listing all three with DEBUG=connect:bodyParser,connect.compress,connect:session
, you may simply do DEBUG=connect:*
, or to run everything using this module simply use DEBUG=*
.
You can also exclude specific debuggers by prefixing them with a "-" character or whitespace. For example:
$ DEBUG=examples:*,-examples:test1 python -m examples
License
The MIT License (MIT)
Copyright (c) 2013 Malcom Gilbert Copyright (c) 2019 Peter Magnusson
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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