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Kirill Smelkov
cpython
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c76defc1
Commit
c76defc1
authored
May 21, 2010
by
Vinay Sajip
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Updated logging documentation with more dictConfig information.
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Doc/library/logging.rst
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c76defc1
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@@ -440,6 +440,45 @@ import mechanisms. Thus, you could use either :class:`handlers.WatchedFileHandle
class
defined
in
package
:
mod
:`
mypackage
`
and
module
:
mod
:`
mymodule
`,
where
:
mod
:`
mypackage
`
is
available
on
the
Python
import
path
).
..
versionchanged
::
2.7
In
Python
2.7
,
a
new
means
of
configuring
logging
has
been
introduced
,
using
dictionaries
to
hold
configuration
information
.
This
provides
a
superset
of
the
functionality
of
the
config
-
file
-
based
approach
outlined
above
,
and
is
the
recommended
configuration
method
for
new
applications
and
deployments
.
Because
a
Python
dictionary
is
used
to
hold
configuration
information
,
and
since
you
can
populate
that
dictionary
using
different
means
,
you
have
more
options
for
configuration
.
For
example
,
you
can
use
a
configuration
file
in
JSON
format
,
or
,
if
you
have
access
to
YAML
processing
functionality
,
a
file
in
YAML
format
,
to
populate
the
configuration
dictionary
.
Or
,
of
course
,
you
can
construct
the
dictionary
in
Python
code
,
receive
it
in
pickled
form
over
a
socket
,
or
use
whatever
approach
makes
sense
for
your
application
.
Here
's an example of the same configuration as above, in YAML format for
the new dictionary-based approach::
version: 1
formatters:
simple:
format: format=%(asctime)s - %(name)s - %(levelname)s - %(message)s
handlers:
console:
class: logging.StreamHandler
level: DEBUG
formatter: simple
stream: ext://sys.stdout
loggers:
simpleExample:
level: DEBUG
handlers: [console]
propagate: no
root:
level: DEBUG
handlers: [console]
For more information about logging using a dictionary, see
:ref:`logging-config-api`.
.. _library-config:
Configuring Logging for a Library
...
...
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