mirror of https://github.com/python/cpython
Merged doc update from 3.3.
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560eff173c
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@ -1620,7 +1620,7 @@ Implementing structured logging
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Although most logging messages are intended for reading by humans, and thus not
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readily machine-parseable, there might be cirumstances where you want to output
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messages in a structured format which *is* capable of being parsed by a program
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(without needed complex regular expressions to parse the log message). This is
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(without needing complex regular expressions to parse the log message). This is
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straightforward to achieve using the logging package. There are a number of
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ways in which this could be achieved, but the following is a simple approach
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which uses JSON to serialise the event in a machine-parseable manner::
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@ -1645,6 +1645,9 @@ If the above script is run, it prints::
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message 1 >>> {"fnum": 123.456, "num": 123, "bar": "baz", "foo": "bar"}
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Note that the order of items might be different according to the version of
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Python used.
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If you need more specialised processing, you can use a custom JSON encoder,
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as in the following complete example::
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@ -1653,6 +1656,7 @@ as in the following complete example::
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import json
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import logging
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# This next bit is to ensure the script runs unchanged on 2.x and 3.x
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try:
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unicode
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except NameError:
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@ -1675,7 +1679,7 @@ as in the following complete example::
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s = Encoder().encode(self.kwargs)
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return '%s >>> %s' % (self.message, s)
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_ = StructuredMessage
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_ = StructuredMessage # optional, to improve readability
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def main():
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logging.basicConfig(level=logging.INFO, format='%(message)s')
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@ -1688,3 +1692,6 @@ When the above script is run, it prints::
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message 1 >>> {"snowman": "\u2603", "set_value": [1, 2, 3]}
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Note that the order of items might be different according to the version of
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Python used.
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