使用单个文件进行Python日志记录（函数名，文件名，行号）

I am trying to learn how an application works. And for this I am inserting debug commands as the first line of each function’s body with the goal of logging the function’s name as well as the line number (within the code) where I send a message to the log output. Finally, since this application comprises of many files, I want to create a single log file so that I can better understand the control flow of the application.

Here is what I know:

1. for getting function name, I can use function_name.__name__ but I don’t want to use the function_name (so that I could rapidly copy and paste a generic Log.info("Message") in the body of all functions). I know this could be done in C using __func__ macro but I am not sure about python.

2. for getting the filename and line number, I have seen that (and I believe that) my application is using Python locals() function but in a syntax that I am not completely aware of e.g.: options = "LOG.debug('%(flag)s : %(flag_get)s' % locals()) and I tried it using like LOG.info("My message %s" % locals()) which produces something like {'self': <__main__.Class_name object at 0x22f8cd0>}. Any input on this please?

3. I know how to use logging and add handler to it to log to a file but I am not sure if a single file can be used to record all log messages in correct order of function calls in the project.

I would greatly appreciate any help.

Thanks!

You have a few marginally related questions here.

I’ll start with the easiest: (3). Using logging you can aggregate all calls to a single log file or other output target: they will be in the order they occurred in the process.

Next up: (2). locals() provides a dict of the current scope. Thus, in a method that has no other arguments, you have self in scope, which contains a reference to the current instance. The trick being used that is stumping you is the string formatting using a dict as the RHS of the % operator. "%(foo)s" % bar will be replaced by whatever the value of bar["foo"] is.

Finally, you can use some introspection tricks, similar to those used by pdb that can log more info:

def autolog(message):
    "Automatically log the current function details."
    import inspect, logging
    # Get the previous frame in the stack, otherwise it would
    # be this function!!!
    func = inspect.currentframe().f_back.f_code
    # Dump the message + the name of this function to the log.
    logging.debug("%s: %s in %s:%i" % (
        message, 
        func.co_name, 
        func.co_filename, 
        func.co_firstlineno
    ))

This will log the message passed in, plus the (original) function name, the filename in which the definition appears, and the line in that file. Have a look at inspect – Inspect live objects for more details.

As I mentioned in my comment earlier, you can also drop into a pdb interactive debugging prompt at any time by inserting the line import pdb; pdb.set_trace() in, and re-running your program. This enables you to step through the code, inspecting data as you choose.

The correct answer for this is to use the already provided funcName variable

import logging
logger = logging.getLogger('root')
FORMAT = "[%(filename)s:%(lineno)s - %(funcName)20s() ] %(message)s"
logging.basicConfig(format=FORMAT)
logger.setLevel(logging.DEBUG)

Then anywhere you want, just add:

logger.debug('your message') 

Example output from a script I’m working on right now:

[invRegex.py:150 -          handleRange() ] ['[A-Z]']
[invRegex.py:155 -     handleRepetition() ] [[<__main__.CharacterRangeEmitter object at 0x10ba03050>, '{', '1', '}']]
[invRegex.py:197 -          handleMacro() ] ['\\d']
[invRegex.py:155 -     handleRepetition() ] [[<__main__.CharacterRangeEmitter object at 0x10ba03950>, '{', '1', '}']]
[invRegex.py:210 -       handleSequence() ] [[<__main__.GroupEmitter object at 0x10b9fedd0>, <__main__.GroupEmitter object at 0x10ba03ad0>]]

funcname, linename and lineno provide information about the last function that did the logging.

If you have wrapper of logger (e.g singleton logger), then @synthesizerpatel’s answer might not work for you.

To find out the other callers in the call stack you can do:

import logging
import inspect

class Singleton(type):
    _instances = {}

    def __call__(cls, *args, **kwargs):
        if cls not in cls._instances:
            cls._instances[cls] = super(Singleton, cls).__call__(*args, **kwargs)
        return cls._instances[cls]

class MyLogger(metaclass=Singleton):
    logger = None

    def __init__(self):
        logging.basicConfig(
            level=logging.INFO,
            format="%(asctime)s - %(threadName)s - %(message)s",
            handlers=[
                logging.StreamHandler()
            ])

        self.logger = logging.getLogger(__name__ + '.logger')

    @staticmethod
    def __get_call_info():
        stack = inspect.stack()

        # stack[1] gives previous function ('info' in our case)
        # stack[2] gives before previous function and so on

        fn = stack[2][1]
        ln = stack[2][2]
        func = stack[2][3]

        return fn, func, ln

    def info(self, message, *args):
        message = "{} - {} at line {}: {}".format(*self.__get_call_info(), message)
        self.logger.info(message, *args)