16.6. 模块 "logging" --- Python 的日志记录工具
**********************************************

**源代码:** Lib/logging/__init__.py


Important
^^^^^^^^^

此页面仅包含API参考信息。有关更多高级主题的教程信息和讨论，请参阅

* 基础教程

* 进阶教程

* Logging Cookbook

======================================================================

这个模块为应用与库定义了实现灵活的事件日志系统的函数与类.

使用标准库提提供的 logging API 最主要的好处是，所有的 Python 模块都可
能参与日志输出，包括你的日志消息和第三方模块的日志消息。

这个模块提供许多强大而灵活的功能。如果你对 logging 不太熟悉的话， 掌握
它最好的方式就是查看它对应的教程（详见右侧的链接）。

该模块定义的基础类和函数都列在下面。

* 记录器暴露了应用程序代码直接使用的接口。

* 处理程序将日志记录（由记录器创建）发送到适当的目标。

* 过滤器提供了更精细的附加功能，用于确定要输出的日志记录。

* 格式化程序指定最终输出中日志记录的样式。


16.6.1. Logger 对象
===================

Loggers have the following attributes and methods.  Note that Loggers
are never instantiated directly, but always through the module-level
function "logging.getLogger(name)".  Multiple calls to "getLogger()"
with the same name will always return a reference to the same Logger
object.

"name" 是潜在的周期分割层级值, 像``foo.bar.baz`` (例如, 抛出的可以只是
明文的``foo``)。Loggers是进一步在子层次列表的更高loggers列表。例如，有
个名叫``foo``的logger，名叫``foo.bar``，"foo.bar.baz", 和 "foo.bam" 都
是 "foo``的衍生logger. logger的名字分级类似Python 包的层级, 并且相同的
如果你组织你的loggers在每模块级别基本上使用推荐的结构
``logging.getLogger(__name__)"。这是因为在模块里，在Python包的命名空间
的模块名为``__name__``。

class logging.Logger

   propagate

      如果这个属性为真，记录到这个记录器的事件将会传递给这个高级别管理
      器的记录器（原型），此外任何关联到这个记录器的管理器。消息会直接
      传递给原型记录器的管理器 - 既不是这个原型记录器的级别也不是过滤
      器是在考虑的问题。

      如果等于假，记录消息将不会传递给这个原型记录器的管理器。

      构造器将这个属性初始化为 "True"。

      備註:

        如果你关联了一个管理器*并且*到它自己的一个或多个记录器，它可能
        发出多次相同的记录。总体来说，你不需要关联管理器到一个或多个记
        录器 - 如果你只是关联它到一个合适的记录器等级中的最高级别记录
        器，它将会看到子记录器所有记录的事件，他们的传播剩下的设置为
        ``True``。一个通用场景是只关联管理器到根记录器，并且让传播照顾
        剩下的.

   setLevel(level)

      给 logger 设置阈值为 *level* 。日志等级小于 *level* 会被忽略。严
      重性为 *level* 或更高的日志消息将由该 logger 的任何一个或多个
      handler 发出，除非将处理程序的级别设置为比 *level* 更高的级别。

      创建一个 logger 时，设置级别为 "NOTSET"  （当 logger 是根 logger
      时，将处理所有消息；当 logger 是非根 logger 时，所有消息会委派给
      父级）。注意根 logger 创建时使用的是 "WARNING" 级别。

      委派给父级的意思是如果一个记录器的级别设置为NOTSET，遍历其祖先记
      录器链，直到找到另一个NOTSET级别的祖先或到达根为止。

      如果发现某个父级的级别 不是NOTSET ，那么该父级的级别将被视为发起
      搜索的记录器的有效级别，并用于确定如何处理日志事件。

      如果到达根 logger ，并且其级别为NOTSET，则将处理所有消息。否则，
      将使用根记录器的级别作为有效级别。

      参见 日志级别 级别列表。

      3.2 版更變: 现在 *level* 参数可以接受形如 'INFO' 的级别字符串表
      示形式，以代替形如 "INFO" 的整数常量。 但是请注意，级别在内部存
      储为整数，并且 "getEffectiveLevel()" 和 "isEnabledFor()" 等方法
      的传入/返回值也为整数。

   isEnabledFor(lvl)

      Indicates if a message of severity *lvl* would be processed by
      this logger. This method checks first the module-level level set
      by "logging.disable(lvl)" and then the logger's effective level
      as determined by "getEffectiveLevel()".

   getEffectiveLevel()

      指示此记录器的有效级别。如果通过 "setLevel()" 设置了除 "NOTSET"
      以外的值，则返回该值。否则，将层次结构遍历到根，直到找到除
      "NOTSET" 以外的其他值，然后返回该值。返回的值是一个整数，通常为
      "logging.DEBUG"、 "logging.INFO" 等等。

   getChild(suffix)

      返回由后缀确定的，是该记录器的后代的记录器。 因此，
      "logging.getLogger('abc').getChild('def.ghi')" 与
      "logging.getLogger('abc.def.ghi')" 将返回相同的记录器。 这是一个
      便捷方法，当使用如 "__name__" 而不是字符串字面值命名父记录器时很
      有用。

      3.2 版新加入.

   debug(msg, *args, **kwargs)

      Logs a message with level "DEBUG" on this logger. The *msg* is
      the message format string, and the *args* are the arguments
      which are merged into *msg* using the string formatting
      operator. (Note that this means that you can use keywords in the
      format string, together with a single dictionary argument.)

      There are three keyword arguments in *kwargs* which are
      inspected: *exc_info*, *stack_info*, and *extra*.

      如果 *exc_info* 的求值结果不为 false，则它将异常信息添加到日志消
      息中。如果提供了一个异常元组（按照 "sys.exc_info()" 返回的格式）
      或一个异常实例，则将其使用；否则，调用 "sys.exc_info()" 以获取异
      常信息。

      第二个可选关键字参数是 *stack_info*，默认为 "False"。如果为
      "True"，则将堆栈信息添加到日志消息中，包括实际的日志调用。请注意
      ，这与通过指定 *exc_info* 显示的堆栈信息不同：前者是从堆栈底部到
      当前线程中的日志记录调用的堆栈帧，而后者是在搜索异常处理程序时，
      跟踪异常而打开的堆栈帧的信息。

      您可以独立于 *exc_info* 来指定 *stack_info*，例如，即使在未引发
      任何异常的情况下，也可以显示如何到达代码中的特定点。堆栈帧在标题
      行之后打印：

         Stack (most recent call last):

      这模仿了显示异常帧时所使用的 "Traceback (most recent call
      last):" 。

      The third keyword argument is *extra* which can be used to pass
      a dictionary which is used to populate the __dict__ of the
      LogRecord created for the logging event with user-defined
      attributes. These custom attributes can then be used as you
      like. For example, they could be incorporated into logged
      messages. For example:

         FORMAT = '%(asctime)-15s %(clientip)s %(user)-8s %(message)s'
         logging.basicConfig(format=FORMAT)
         d = {'clientip': '192.168.0.1', 'user': 'fbloggs'}
         logger = logging.getLogger('tcpserver')
         logger.warning('Protocol problem: %s', 'connection reset', extra=d)

      输出类似于

         2006-02-08 22:20:02,165 192.168.0.1 fbloggs  Protocol problem: connection reset

      The keys in the dictionary passed in *extra* should not clash
      with the keys used by the logging system. (See the "Formatter"
      documentation for more information on which keys are used by the
      logging system.)

      If you choose to use these attributes in logged messages, you
      need to exercise some care. In the above example, for instance,
      the "Formatter" has been set up with a format string which
      expects 'clientip' and 'user' in the attribute dictionary of the
      LogRecord. If these are missing, the message will not be logged
      because a string formatting exception will occur. So in this
      case, you always need to pass the *extra* dictionary with these
      keys.

      尽管这可能很烦人，但此功能旨在用于特殊情况，例如在多个上下文中执
      行相同代码的多线程服务器，并且出现的有趣条件取决于此上下文（例如
      在上面的示例中就是远程客户端IP地址和已验证用户名）。在这种情况下
      ，很可能将专门的 "Formatter" 与特定的 "Handler" 一起使用。

      3.2 版新加入: 增加了 *stack_info* 参数。

      3.5 版更變: The *exc_info* parameter can now accept exception
      instances.

   info(msg, *args, **kwargs)

      在此记录器上记录 "INFO" 级别的消息。参数解释同 "debug()"。

   warning(msg, *args, **kwargs)

      在此记录器上记录 "WARNING" 级别的消息。参数解释同 "debug()"。

      備註:

        有一个功能上与 "warning" 一致的方法 "warn"。由于 "warn" 已被弃
        用，请不要使用它 —— 改为使用 "warning"。

   error(msg, *args, **kwargs)

      在此记录器上记录 "ERROR" 级别的消息。参数解释同 "debug()"。

   critical(msg, *args, **kwargs)

      在此记录器上记录 "CRITICAL" 级别的消息。参数解释同 "debug()"。

   log(lvl, msg, *args, **kwargs)

      Logs a message with integer level *lvl* on this logger. The
      other arguments are interpreted as for "debug()".

   exception(msg, *args, **kwargs)

      在此记录器上记录 "ERROR" 级别的消息。参数解释同 "debug()"。异常
      信息将添加到日志消息中。仅应从异常处理程序中调用此方法。

   addFilter(filter)

      将指定的过滤器 *filter* 添加到此记录器。

   removeFilter(filter)

      从此记录器中删除指定的处理程序 *filter*。

   filter(record)

      Applies this logger's filters to the record and returns a true
      value if the record is to be processed. The filters are
      consulted in turn, until one of them returns a false value. If
      none of them return a false value, the record will be processed
      (passed to handlers). If one returns a false value, no further
      processing of the record occurs.

   addHandler(hdlr)

      将指定的处理程序 *hdlr* 添加到此记录器。

   removeHandler(hdlr)

      从此记录器中删除指定的处理器 *hdlr*。

   findCaller(stack_info=False)

      查找调用源的文件名和行号，以 文件名，行号，函数名称和堆栈信息 4
      元素元组的形式返回。堆栈信息将返回 "None``除非 *stack_info* 为
      ``True"。

   handle(record)

      通过将记录传递给与此记录器及其祖先关联的所有处理器来处理（直到某
      个 *propagate* 值为 false）。此方法用于从套接字接收的未序列化的
      以及在本地创建的记录。使用 "filter()" 进行记录程序级别过滤。

   makeRecord(name, lvl, fn, lno, msg, args, exc_info, func=None, extra=None, sinfo=None)

      这是一种工厂方法，可以在子类中对其进行重写以创建专门的
      "LogRecord" 实例。

   hasHandlers()

      检查此记录器是否配置了任何处理器。通过在此记录器及其记录器层次结
      构中的父级中查找处理器完成此操作。如果找到处理器则返回 "True"，
      否则返回``False``。只要找到 “propagate” 属性设置为 false的记录器
      ，该方法就会停止搜索层次结构 —— 其将是最后一个检查处理器是否存在
      的记录器。

      3.2 版新加入.

   3.7 版更變: Loggers can now be picked and unpickled.


16.6.2. 日志级别
================

日志记录级别的数值在下表中给出。如果你想要定义自己的级别，并且需要它们
具有相对于预定义级别的特定值，那么这些内容可能是你感兴趣的。如果你定义
具有相同数值的级别，它将覆盖预定义的值; 预定义的名称丢失。

+----------------+-----------------+
| 级别           | 数值            |
|================|=================|
| "CRITICAL"     | 50              |
+----------------+-----------------+
| "ERROR"        | 40              |
+----------------+-----------------+
| "WARNING"      | 30              |
+----------------+-----------------+
| "INFO"         | 20              |
+----------------+-----------------+
| "DEBUG"        | 10              |
+----------------+-----------------+
| "NOTSET"       | 0               |
+----------------+-----------------+


16.6.3. 处理器对象
==================

Handler 有以下属性和方法。注意不要直接实例化 "Handler" ；这个类用来派
生其他更有用的子类。但是，子类的 "__init__()" 方法需要调用
"Handler.__init__()" 。

class logging.Handler

   __init__(level=NOTSET)

      初始化 "Handler" 实例时，需要设置它的级别，将过滤列表置为空，并
      且创建锁（通过 "createLock()" ）来序列化对 I/O 的访问。

   createLock()

      初始化一个线程锁，用来序列化对底层的 I/O 功能的访问，底层的 I/O
      功能可能不是线程安全的。

   acquire()

      使用 "createLock()"  获取线程锁。

   release()

      使用 "acquire()" 来释放线程锁。

   setLevel(level)

      给处理器设置阈值为 *level* 。日志级别小于 *level* 将被忽略。创建
      处理器时，日志级别被设置为 "NOTSET" （所有的消息都会被处理）。

      参见 日志级别 级别列表。

      3.2 版更變: *level* 形参现在接受像 'INFO' 这样的字符串形式的级别
      表达方式，也可以使用像 "INFO" 这样的整数常量。

   setFormatter(fmt)

      将此处理器的 "Formatter" 设置为 *fmt*。

   addFilter(filter)

      将指定的过滤器 *filter* 添加到此处理器。

   removeFilter(filter)

      从此处理器中删除指定的过滤器 *filter* 。

   filter(record)

      Applies this handler's filters to the record and returns a true
      value if the record is to be processed. The filters are
      consulted in turn, until one of them returns a false value. If
      none of them return a false value, the record will be emitted.
      If one returns a false value, the handler will not emit the
      record.

   flush()

      确保所有日志记录从缓存输出。此版本不执行任何操作，并且应由子类实
      现。

   close()

      整理处理器使用的所有资源。此版本不输出，但从内部处理器列表中删除
      处理器，内部处理器在 "shutdown()" 被调用时关闭 。子类应确保从重
      写的 "close()" 方法中调用此方法。

   handle(record)

      经已添加到处理器的过滤器过滤后，有条件地发出指定的日志记录。用获
      取/释放 I/O 线程锁包装记录的实际发出行为。

   handleError(record)

      调用 "emit()" 期间遇到异常时，应从处理器中调用此方法。如果模块级
      属性 "raiseExceptions" 是 "False"，则异常将被静默忽略。这是大多
      数情况下日志系统需要的 —— 大多数用户不会关心日志系统中的错误，他
      们对应用程序错误更感兴趣。但是，你可以根据需要将其替换为自定义处
      理器。指定的记录是发生异常时正在处理的记录。（"raiseExceptions"
      的默认值是 "True"，因为这在开发过程中是比较有用的）。

   format(record)

      如果设置了格式器则用其对记录进行格式化。否则，使用模块的默认格式
      器。

   emit(record)

      执行实际记录给定日志记录所需的操作。这个版本应由子类实现，因此这
      里直接引发 "NotImplementedError" 异常。

有关作为标准随附的处理程序，请参见 "logging.handlers"。


16.6.4. 格式器对象
==================

"Formatter" 对象拥有以下的属性和方法。一般情况下，它们负责将
"LogRecord" 转换为可由人或外部系统解释的字符串。基础的 "Formatter" 允
许指定格式字符串。如果未提供任何值，则使用默认值 "'%(message)s'" ，它
仅将消息包括在日志记录调用中。要在格式化输出中包含其他信息（如时间戳）
，请阅读下文。

格式器可以使用格式化字符串来初始化，该字符串利用 "LogRecord" 的属性 ——
例如上述默认值，用户的消息和参数预先格式化为 "LogRecord" 的 *message*
属性后被使用。此格式字符串包含标准的 Python %-s 样式映射键。有关字符串
格式的更多信息，请参见 printf 风格的字符串格式化。

The useful mapping keys in a "LogRecord" are given in the section on
LogRecord 属性.

class logging.Formatter(fmt=None, datefmt=None, style='%')

   返回 "Formatter" 类的新实例。实例将使用整个消息的格式字符串以及消息
   的日期/时间部分的格式字符串进行初始化。如果未指定 *fmt* ，则使用
   "'%(message)s'"。如果未指定 *datefmt*，则使用  "formatTime()" 文档
   中描述的格式。

   The *style* parameter can be one of '%', '{' or '$' and determines
   how the format string will be merged with its data: using one of
   %-formatting, "str.format()" or "string.Template". See Using
   particular formatting styles throughout your application for more
   information on using {- and $-formatting for log messages.

   3.2 版更變: *style*  参数已加入.

   format(record)

      记录的属性字典用作字符串格式化操作的参数。返回结果字符串。在格式
      化字典之前，需要执行几个准备步骤。 使用 *msg* % *args* 计算记录
      的 *message* 属性。如果格式化字符串包含 "'(asctime)'"，则调用
      "formatTime()" 来格式化事件时间。如果有异常信息，则使用
      "formatException()" 将其格式化并附加到消息中。请注意，格式化的异
      常信息缓存在属性 *exc_text* 中。这很有用，因为可以对异常信息进行
      序列化并通过网络发送，但是如果您有不止一个定制了异常信息格式的
      "Formatter" 子类，则应格外小心。在这种情况下，您必须在格式器完成
      格式化后清除缓存的值，以便下一个处理事件的格式化程序不使用缓存的
      值，而是重新计算它。

      如果栈信息可用，它将被添加在异常信息之后，如有必要请使用
      "formatStack()" 来转换它。

   formatTime(record, datefmt=None)

      此方法应由想要使用格式化时间的格式器中的 "format()" 调用。可以在
      格式器中重写此方法以提供任何特定要求，但是基本行为如下：如果指定
      了 *datefmt* （字符串），则将其用于 "time.strftime()" 来格式化记
      录的创建时间。否则，使用格式 '%Y-%m-%d %H:%M:%S,uuu'，其中 uuu
      部分是毫秒值，其他字母根据 "time.strftime()" 文档。这种时间格式
      的示例为 "2003-01-23 00:29:50,411"。返回结果字符串。

      This function uses a user-configurable function to convert the
      creation time to a tuple. By default, "time.localtime()" is
      used; to change this for a particular formatter instance, set
      the "converter" attribute to a function with the same signature
      as "time.localtime()" or "time.gmtime()". To change it for all
      formatters, for example if you want all logging times to be
      shown in GMT, set the "converter" attribute in the "Formatter"
      class.

      3.3 版更變: Previously, the default format was hard-coded as in
      this example: "2010-09-06 22:38:15,292" where the part before
      the comma is handled by a strptime format string ("'%Y-%m-%d
      %H:%M:%S'"), and the part after the comma is a millisecond
      value. Because strptime does not have a format placeholder for
      milliseconds, the millisecond value is appended using another
      format string, "'%s,%03d'" --- and both of these format strings
      have been hardcoded into this method. With the change, these
      strings are defined as class-level attributes which can be
      overridden at the instance level when desired. The names of the
      attributes are "default_time_format" (for the strptime format
      string) and "default_msec_format" (for appending the millisecond
      value).

   formatException(exc_info)

      Formats the specified exception information (a standard
      exception tuple as returned by "sys.exc_info()") as a string.
      This default implementation just uses
      "traceback.print_exception()". The resulting string is returned.

   formatStack(stack_info)

      Formats the specified stack information (a string as returned by
      "traceback.print_stack()", but with the last newline removed) as
      a string. This default implementation just returns the input
      value.


16.6.5. Filter 对象
===================

"Filters" can be used by "Handlers" and "Loggers" for more
sophisticated filtering than is provided by levels. The base filter
class only allows events which are below a certain point in the logger
hierarchy. For example, a filter initialized with 'A.B' will allow
events logged by loggers 'A.B', 'A.B.C', 'A.B.C.D', 'A.B.D' etc. but
not 'A.BB', 'B.A.B' etc. If initialized with the empty string, all
events are passed.

class logging.Filter(name='')

   Returns an instance of the "Filter" class. If *name* is specified,
   it names a logger which, together with its children, will have its
   events allowed through the filter. If *name* is the empty string,
   allows every event.

   filter(record)

      是否要记录指定的记录？返回零表示否，非零表示是。如果认为合适，则
      可以通过此方法就地修改记录。

Note that filters attached to handlers are consulted before an event
is emitted by the handler, whereas filters attached to loggers are
consulted whenever an event is logged (using "debug()", "info()",
etc.), before sending an event to handlers. This means that events
which have been generated by descendant loggers will not be filtered
by a logger's filter setting, unless the filter has also been applied
to those descendant loggers.

You don't actually need to subclass "Filter": you can pass any
instance which has a "filter" method with the same semantics.

3.2 版更變: You don't need to create specialized "Filter" classes, or
use other classes with a "filter" method: you can use a function (or
other callable) as a filter. The filtering logic will check to see if
the filter object has a "filter" attribute: if it does, it's assumed
to be a "Filter" and its "filter()" method is called. Otherwise, it's
assumed to be a callable and called with the record as the single
parameter. The returned value should conform to that returned by
"filter()".

Although filters are used primarily to filter records based on more
sophisticated criteria than levels, they get to see every record which
is processed by the handler or logger they're attached to: this can be
useful if you want to do things like counting how many records were
processed by a particular logger or handler, or adding, changing or
removing attributes in the LogRecord being processed. Obviously
changing the LogRecord needs to be done with some care, but it does
allow the injection of contextual information into logs (see 使用过滤
器传递上下文信息).


16.6.6. LogRecord 属性
======================

"LogRecord" instances are created automatically by the "Logger" every
time something is logged, and can be created manually via
"makeLogRecord()" (for example, from a pickled event received over the
wire).

class logging.LogRecord(name, level, pathname, lineno, msg, args, exc_info, func=None, sinfo=None)

   Contains all the information pertinent to the event being logged.

   The primary information is passed in "msg" and "args", which are
   combined using "msg % args" to create the "message" field of the
   record.

   參數:
      * **name** -- The name of the logger used to log the event
        represented by this LogRecord. Note that this name will always
        have this value, even though it may be emitted by a handler
        attached to a different (ancestor) logger.

      * **level** -- The numeric level of the logging event (one of
        DEBUG, INFO etc.) Note that this is converted to *two*
        attributes of the LogRecord: "levelno" for the numeric value
        and "levelname" for the corresponding level name.

      * **pathname** -- 进行日志记录调用的文件的完整路径名。

      * **lineno** -- 记录调用所在源文件中的行号。

      * **msg** -- The event description message, possibly a format
        string with placeholders for variable data.

      * **args** -- Variable data to merge into the *msg* argument to
        obtain the event description.

      * **exc_info** -- An exception tuple with the current exception
        information, or "None" if no exception information is
        available.

      * **func** -- The name of the function or method from which the
        logging call was invoked.

      * **sinfo** -- A text string representing stack information from
        the base of the stack in the current thread, up to the logging
        call.

   getMessage()

      Returns the message for this "LogRecord" instance after merging
      any user-supplied arguments with the message. If the user-
      supplied message argument to the logging call is not a string,
      "str()" is called on it to convert it to a string. This allows
      use of user-defined classes as messages, whose "__str__" method
      can return the actual format string to be used.

   3.2 版更變: The creation of a "LogRecord" has been made more
   configurable by providing a factory which is used to create the
   record. The factory can be set using "getLogRecordFactory()" and
   "setLogRecordFactory()" (see this for the factory's signature).

   This functionality can be used to inject your own values into a
   LogRecord at creation time. You can use the following pattern:

      old_factory = logging.getLogRecordFactory()

      def record_factory(*args, **kwargs):
          record = old_factory(*args, **kwargs)
          record.custom_attribute = 0xdecafbad
          return record

      logging.setLogRecordFactory(record_factory)

   With this pattern, multiple factories could be chained, and as long
   as they don't overwrite each other's attributes or unintentionally
   overwrite the standard attributes listed above, there should be no
   surprises.


16.6.7. LogRecord 属性
======================

The LogRecord has a number of attributes, most of which are derived
from the parameters to the constructor. (Note that the names do not
always correspond exactly between the LogRecord constructor parameters
and the LogRecord attributes.) These attributes can be used to merge
data from the record into the format string. The following table lists
(in alphabetical order) the attribute names, their meanings and the
corresponding placeholder in a %-style format string.

If you are using {}-formatting ("str.format()"), you can use
"{attrname}" as the placeholder in the format string. If you are using
$-formatting ("string.Template"), use the form "${attrname}". In both
cases, of course, replace "attrname" with the actual attribute name
you want to use.

In the case of {}-formatting, you can specify formatting flags by
placing them after the attribute name, separated from it with a colon.
For example: a placeholder of "{msecs:03d}" would format a millisecond
value of "4" as "004". Refer to the "str.format()" documentation for
full details on the options available to you.

+------------------+---------------------------+-------------------------------------------------+
| 属性名称         | 格式                      | 描述                                            |
|==================|===========================|=================================================|
| args             | 不需要格式化。            | The tuple of arguments merged into "msg" to     |
|                  |                           | produce "message", or a dict whose values are   |
|                  |                           | used for the merge (when there is only one      |
|                  |                           | argument, and it is a dictionary).              |
+------------------+---------------------------+-------------------------------------------------+
| asctime          | "%(asctime)s"             | Human-readable time when the "LogRecord" was    |
|                  |                           | created.  By default this is of the form        |
|                  |                           | '2003-07-08 16:49:45,896' (the numbers after    |
|                  |                           | the comma are millisecond portion of the time). |
+------------------+---------------------------+-------------------------------------------------+
| created          | "%(created)f"             | Time when the "LogRecord" was created (as       |
|                  |                           | returned by "time.time()").                     |
+------------------+---------------------------+-------------------------------------------------+
| exc_info         | 不需要格式化。            | Exception tuple (à la "sys.exc_info") or, if no |
|                  |                           | exception has occurred, "None".                 |
+------------------+---------------------------+-------------------------------------------------+
| filename         | "%(filename)s"            | Filename portion of "pathname".                 |
+------------------+---------------------------+-------------------------------------------------+
| funcName         | "%(funcName)s"            | 函数名包括调用日志记录.                         |
+------------------+---------------------------+-------------------------------------------------+
| levelname        | "%(levelname)s"           | 消息文本记录级别 ("'DEBUG'", "'INFO'",          |
|                  |                           | "'WARNING'", "'ERROR'", "'CRITICAL'").          |
+------------------+---------------------------+-------------------------------------------------+
| levelno          | "%(levelno)s"             | 消息数字记录级别 ("DEBUG", "INFO", "WARNING",   |
|                  |                           | "ERROR", "CRITICAL").                           |
+------------------+---------------------------+-------------------------------------------------+
| lineno           | "%(lineno)d"              | Source line number where the logging call was   |
|                  |                           | issued (if available).                          |
+------------------+---------------------------+-------------------------------------------------+
| message          | "%(message)s"             | The logged message, computed as "msg % args".   |
|                  |                           | This is set when "Formatter.format()" is        |
|                  |                           | invoked.                                        |
+------------------+---------------------------+-------------------------------------------------+
| module 模块      | "%(module)s"              | 模块 ("filename" 的名称部分)。                  |
+------------------+---------------------------+-------------------------------------------------+
| msecs            | "%(msecs)d"               | Millisecond portion of the time when the        |
|                  |                           | "LogRecord" was created.                        |
+------------------+---------------------------+-------------------------------------------------+
| msg              | 不需要格式化。            | The format string passed in the original        |
|                  |                           | logging call. Merged with "args" to produce     |
|                  |                           | "message", or an arbitrary object (see 使用任意 |
|                  |                           | 对象 作为消息).                                 |
+------------------+---------------------------+-------------------------------------------------+
| 名称             | "%(name)s"                | Name of the logger used to log the call.        |
+------------------+---------------------------+-------------------------------------------------+
| pathname         | "%(pathname)s"            | Full pathname of the source file where the      |
|                  |                           | logging call was issued (if available).         |
+------------------+---------------------------+-------------------------------------------------+
| process          | "%(process)d"             | 进程ID（如果可用）                              |
+------------------+---------------------------+-------------------------------------------------+
| processName      | "%(processName)s"         | 进程名（如果可用）                              |
+------------------+---------------------------+-------------------------------------------------+
| relativeCreated  | "%(relativeCreated)d"     | Time in milliseconds when the LogRecord was     |
|                  |                           | created, relative to the time the logging       |
|                  |                           | module was loaded.                              |
+------------------+---------------------------+-------------------------------------------------+
| stack_info       | 不需要格式化。            | Stack frame information (where available) from  |
|                  |                           | the bottom of the stack in the current thread,  |
|                  |                           | up to and including the stack frame of the      |
|                  |                           | logging call which resulted in the creation of  |
|                  |                           | this record.                                    |
+------------------+---------------------------+-------------------------------------------------+
| thread           | "%(thread)d"              | 线程ID（如果可用）                              |
+------------------+---------------------------+-------------------------------------------------+
| threadName       | "%(threadName)s"          | 线程名（如果可用）                              |
+------------------+---------------------------+-------------------------------------------------+

3.1 版更變: 添加了 *processName*


16.6.8. LoggerAdapter 对象
==========================

"LoggerAdapter" instances are used to conveniently pass contextual
information into logging calls. For a usage example, see the section
on adding contextual information to your logging output.

class logging.LoggerAdapter(logger, extra)

   Returns an instance of "LoggerAdapter" initialized with an
   underlying "Logger" instance and a dict-like object.

   process(msg, kwargs)

      Modifies the message and/or keyword arguments passed to a
      logging call in order to insert contextual information. This
      implementation takes the object passed as *extra* to the
      constructor and adds it to *kwargs* using key 'extra'. The
      return value is a (*msg*, *kwargs*) tuple which has the
      (possibly modified) versions of the arguments passed in.

In addition to the above, "LoggerAdapter" supports the following
methods of "Logger": "debug()", "info()", "warning()", "error()",
"exception()", "critical()", "log()", "isEnabledFor()",
"getEffectiveLevel()", "setLevel()" and "hasHandlers()". These methods
have the same signatures as their counterparts in "Logger", so you can
use the two types of instances interchangeably.

3.2 版更變: The "isEnabledFor()", "getEffectiveLevel()", "setLevel()"
and "hasHandlers()" methods were added to "LoggerAdapter".  These
methods delegate to the underlying logger.


16.6.9. 线程安全
================

The logging module is intended to be thread-safe without any special
work needing to be done by its clients. It achieves this though using
threading locks; there is one lock to serialize access to the module's
shared data, and each handler also creates a lock to serialize access
to its underlying I/O.

If you are implementing asynchronous signal handlers using the
"signal" module, you may not be able to use logging from within such
handlers. This is because lock implementations in the "threading"
module are not always re-entrant, and so cannot be invoked from such
signal handlers.


16.6.10. 模块级别函数
=====================

In addition to the classes described above, there are a number of
module-level functions.

logging.getLogger(name=None)

   Return a logger with the specified name or, if name is "None",
   return a logger which is the root logger of the hierarchy. If
   specified, the name is typically a dot-separated hierarchical name
   like *'a'*, *'a.b'* or *'a.b.c.d'*. Choice of these names is
   entirely up to the developer who is using logging.

   All calls to this function with a given name return the same logger
   instance. This means that logger instances never need to be passed
   between different parts of an application.

logging.getLoggerClass()

   Return either the standard "Logger" class, or the last class passed
   to "setLoggerClass()". This function may be called from within a
   new class definition, to ensure that installing a customized
   "Logger" class will not undo customizations already applied by
   other code. For example:

      class MyLogger(logging.getLoggerClass()):
          # ... override behaviour here

logging.getLogRecordFactory()

   Return a callable which is used to create a "LogRecord".

   3.2 版新加入: This function has been provided, along with
   "setLogRecordFactory()", to allow developers more control over how
   the "LogRecord" representing a logging event is constructed.

   See "setLogRecordFactory()" for more information about the how the
   factory is called.

logging.debug(msg, *args, **kwargs)

   Logs a message with level "DEBUG" on the root logger. The *msg* is
   the message format string, and the *args* are the arguments which
   are merged into *msg* using the string formatting operator. (Note
   that this means that you can use keywords in the format string,
   together with a single dictionary argument.)

   There are three keyword arguments in *kwargs* which are inspected:
   *exc_info* which, if it does not evaluate as false, causes
   exception information to be added to the logging message. If an
   exception tuple (in the format returned by "sys.exc_info()") or an
   exception instance is provided, it is used; otherwise,
   "sys.exc_info()" is called to get the exception information.

   第二个可选关键字参数是 *stack_info*，默认为 "False"。如果为 "True"
   ，则将堆栈信息添加到日志消息中，包括实际的日志调用。请注意，这与通
   过指定 *exc_info* 显示的堆栈信息不同：前者是从堆栈底部到当前线程中
   的日志记录调用的堆栈帧，而后者是在搜索异常处理程序时，跟踪异常而打
   开的堆栈帧的信息。

   您可以独立于 *exc_info* 来指定 *stack_info*，例如，即使在未引发任何
   异常的情况下，也可以显示如何到达代码中的特定点。堆栈帧在标题行之后
   打印：

      Stack (most recent call last):

   这模仿了显示异常帧时所使用的 "Traceback (most recent call last):"
   。

   The third optional keyword argument is *extra* which can be used to
   pass a dictionary which is used to populate the __dict__ of the
   LogRecord created for the logging event with user-defined
   attributes. These custom attributes can then be used as you like.
   For example, they could be incorporated into logged messages. For
   example:

      FORMAT = '%(asctime)-15s %(clientip)s %(user)-8s %(message)s'
      logging.basicConfig(format=FORMAT)
      d = {'clientip': '192.168.0.1', 'user': 'fbloggs'}
      logging.warning('Protocol problem: %s', 'connection reset', extra=d)

   would print something like:

      2006-02-08 22:20:02,165 192.168.0.1 fbloggs  Protocol problem: connection reset

   The keys in the dictionary passed in *extra* should not clash with
   the keys used by the logging system. (See the "Formatter"
   documentation for more information on which keys are used by the
   logging system.)

   If you choose to use these attributes in logged messages, you need
   to exercise some care. In the above example, for instance, the
   "Formatter" has been set up with a format string which expects
   'clientip' and 'user' in the attribute dictionary of the LogRecord.
   If these are missing, the message will not be logged because a
   string formatting exception will occur. So in this case, you always
   need to pass the *extra* dictionary with these keys.

   尽管这可能很烦人，但此功能旨在用于特殊情况，例如在多个上下文中执行
   相同代码的多线程服务器，并且出现的有趣条件取决于此上下文（例如在上
   面的示例中就是远程客户端IP地址和已验证用户名）。在这种情况下，很可
   能将专门的 "Formatter" 与特定的 "Handler" 一起使用。

   3.2 版新加入: 增加了 *stack_info* 参数。

logging.info(msg, *args, **kwargs)

   Logs a message with level "INFO" on the root logger. The arguments
   are interpreted as for "debug()".

logging.warning(msg, *args, **kwargs)

   Logs a message with level "WARNING" on the root logger. The
   arguments are interpreted as for "debug()".

   備註:

     There is an obsolete function "warn" which is functionally
     identical to "warning". As "warn" is deprecated, please do not
     use it - use "warning" instead.

logging.error(msg, *args, **kwargs)

   Logs a message with level "ERROR" on the root logger. The arguments
   are interpreted as for "debug()".

logging.critical(msg, *args, **kwargs)

   Logs a message with level "CRITICAL" on the root logger. The
   arguments are interpreted as for "debug()".

logging.exception(msg, *args, **kwargs)

   Logs a message with level "ERROR" on the root logger. The arguments
   are interpreted as for "debug()". Exception info is added to the
   logging message. This function should only be called from an
   exception handler.

logging.log(level, msg, *args, **kwargs)

   Logs a message with level *level* on the root logger. The other
   arguments are interpreted as for "debug()".

   備註:

     The above module-level convenience functions, which delegate to
     the root logger, call "basicConfig()" to ensure that at least one
     handler is available. Because of this, they should *not* be used
     in threads, in versions of Python earlier than 2.7.1 and 3.2,
     unless at least one handler has been added to the root logger
     *before* the threads are started. In earlier versions of Python,
     due to a thread safety shortcoming in "basicConfig()", this can
     (under rare circumstances) lead to handlers being added multiple
     times to the root logger, which can in turn lead to multiple
     messages for the same event.

logging.disable(lvl=CRITICAL)

   Provides an overriding level *lvl* for all loggers which takes
   precedence over the logger's own level. When the need arises to
   temporarily throttle logging output down across the whole
   application, this function can be useful. Its effect is to disable
   all logging calls of severity *lvl* and below, so that if you call
   it with a value of INFO, then all INFO and DEBUG events would be
   discarded, whereas those of severity WARNING and above would be
   processed according to the logger's effective level. If
   "logging.disable(logging.NOTSET)" is called, it effectively removes
   this overriding level, so that logging output again depends on the
   effective levels of individual loggers.

   Note that if you have defined any custom logging level higher than
   "CRITICAL" (this is not recommended), you won't be able to rely on
   the default value for the *lvl* parameter, but will have to
   explicitly supply a suitable value.

   3.7 版更變: The *lvl* parameter was defaulted to level "CRITICAL".
   See Issue #28524 for more information about this change.

logging.addLevelName(lvl, levelName)

   Associates level *lvl* with text *levelName* in an internal
   dictionary, which is used to map numeric levels to a textual
   representation, for example when a "Formatter" formats a message.
   This function can also be used to define your own levels. The only
   constraints are that all levels used must be registered using this
   function, levels should be positive integers and they should
   increase in increasing order of severity.

   備註:

     If you are thinking of defining your own levels, please see the
     section on 自定义级别.

logging.getLevelName(lvl)

   Returns the textual representation of logging level *lvl*. If the
   level is one of the predefined levels "CRITICAL", "ERROR",
   "WARNING", "INFO" or "DEBUG" then you get the corresponding string.
   If you have associated levels with names using "addLevelName()"
   then the name you have associated with *lvl* is returned. If a
   numeric value corresponding to one of the defined levels is passed
   in, the corresponding string representation is returned. Otherwise,
   the string 'Level %s' % lvl is returned.

   備註:

     Levels are internally integers (as they need to be compared in
     the logging logic). This function is used to convert between an
     integer level and the level name displayed in the formatted log
     output by means of the "%(levelname)s" format specifier (see
     LogRecord 属性).

   3.4 版更變: In Python versions earlier than 3.4, this function
   could also be passed a text level, and would return the
   corresponding numeric value of the level. This undocumented
   behaviour was considered a mistake, and was removed in Python 3.4,
   but reinstated in 3.4.2 due to retain backward compatibility.

logging.makeLogRecord(attrdict)

   Creates and returns a new "LogRecord" instance whose attributes are
   defined by *attrdict*. This function is useful for taking a pickled
   "LogRecord" attribute dictionary, sent over a socket, and
   reconstituting it as a "LogRecord" instance at the receiving end.

logging.basicConfig(**kwargs)

   Does basic configuration for the logging system by creating a
   "StreamHandler" with a default "Formatter" and adding it to the
   root logger. The functions "debug()", "info()", "warning()",
   "error()" and "critical()" will call "basicConfig()" automatically
   if no handlers are defined for the root logger.

   This function does nothing if the root logger already has handlers
   configured for it.

   備註:

     This function should be called from the main thread before other
     threads are started. In versions of Python prior to 2.7.1 and
     3.2, if this function is called from multiple threads, it is
     possible (in rare circumstances) that a handler will be added to
     the root logger more than once, leading to unexpected results
     such as messages being duplicated in the log.

   支持以下关键字参数。

   +----------------+-----------------------------------------------+
   | 格式           | 描述                                          |
   |================|===============================================|
   | *filename*     | 使用指定的文件名而不是 StreamHandler 创建     |
   |                | FileHandler。                                 |
   +----------------+-----------------------------------------------+
   | *filemode*     | If *filename* is specified, open the file in  |
   |                | this mode. Defaults to "'a'".                 |
   +----------------+-----------------------------------------------+
   | *format*       | 处理器使用的指定格式字符串。                  |
   +----------------+-----------------------------------------------+
   | *datefmt*      | Use the specified date/time format, as        |
   |                | accepted by "time.strftime()".                |
   +----------------+-----------------------------------------------+
   | *style*        | If *format* is specified, use this style for  |
   |                | the format string. One of "'%'", "'{'" or     |
   |                | "'$'" for printf-style, "str.format()" or     |
   |                | "string.Template" respectively. Defaults to   |
   |                | "'%'".                                        |
   +----------------+-----------------------------------------------+
   | *level*        | 设置根记录器级别去指定 level.                 |
   +----------------+-----------------------------------------------+
   | *stream*       | Use the specified stream to initialize the    |
   |                | StreamHandler. Note that this argument is     |
   |                | incompatible with *filename* - if both are    |
   |                | present, a "ValueError" is raised.            |
   +----------------+-----------------------------------------------+
   | *handlers*     | If specified, this should be an iterable of   |
   |                | already created handlers to add to the root   |
   |                | logger. Any handlers which don't already have |
   |                | a formatter set will be assigned the default  |
   |                | formatter created in this function. Note that |
   |                | this argument is incompatible with *filename* |
   |                | or *stream* - if both are present, a          |
   |                | "ValueError" is raised.                       |
   +----------------+-----------------------------------------------+

   3.2 版更變: 增加了 *style* 参数。

   3.3 版更變: The *handlers* argument was added. Additional checks
   were added to catch situations where incompatible arguments are
   specified (e.g. *handlers* together with *stream* or *filename*, or
   *stream* together with *filename*).

logging.shutdown()

   Informs the logging system to perform an orderly shutdown by
   flushing and closing all handlers. This should be called at
   application exit and no further use of the logging system should be
   made after this call.

logging.setLoggerClass(klass)

   Tells the logging system to use the class *klass* when
   instantiating a logger. The class should define "__init__()" such
   that only a name argument is required, and the "__init__()" should
   call "Logger.__init__()". This function is typically called before
   any loggers are instantiated by applications which need to use
   custom logger behavior.

logging.setLogRecordFactory(factory)

   Set a callable which is used to create a "LogRecord".

   參數:
      **factory** -- The factory callable to be used to instantiate a
      log record.

   3.2 版新加入: This function has been provided, along with
   "getLogRecordFactory()", to allow developers more control over how
   the "LogRecord" representing a logging event is constructed.

   The factory has the following signature:

   "factory(name, level, fn, lno, msg, args, exc_info, func=None,
   sinfo=None, **kwargs)"

      名称:
         日志记录器名称

      level:
         日志记录级别（数字）。

      fn:
         进行日志记录调用的文件的完整路径名。

      lno:
         记录调用所在文件中的行号。

      msg:
         日志消息。

      args:
         日志记录消息的参数。

      exc_info:
         异常元组，或 "None" 。

      func:
         调用日志记录调用的函数或方法的名称。

      sinfo:
         A stack traceback such as is provided by
         "traceback.print_stack()", showing the call hierarchy.

      kwargs:
         其他关键字参数。


16.6.11. 模块级属性
===================

logging.lastResort

   A "handler of last resort" is available through this attribute.
   This is a "StreamHandler" writing to "sys.stderr" with a level of
   "WARNING", and is used to handle logging events in the absence of
   any logging configuration. The end result is to just print the
   message to "sys.stderr". This replaces the earlier error message
   saying that "no handlers could be found for logger XYZ". If you
   need the earlier behaviour for some reason, "lastResort" can be set
   to "None".

   3.2 版新加入.


16.6.12. 与警告模块集成
=======================

"captureWarnings()" 函数可用来将 "logging" 和 "warnings" 模块集成。

logging.captureWarnings(capture)

   此函数用于打开和关闭日志系统对警告的捕获。

   如果 *capture* 是 "True"，则 "warnings" 模块发出的警告将重定向到日
   志记录系统。具体来说，将使用 "warnings.formatwarning()" 格式化警告
   信息，并将结果字符串使用 "WARNING" 等级记录到名为 "'py.warnings'"
   的记录器中。

   如果 *capture* 是 "False"，则将停止将警告重定向到日志记录系统，并且
   将警告重定向到其原始目标（即在  "captureWarnings(True)"  调用之前的
   有效目标）。

也參考:

  模块 "logging.config"
     日志记录模块的配置 API 。

  模块 "logging.handlers"
     日志记录模块附带的有用处理程序。

  **PEP 282** - Logging 系统
     该提案描述了Python标准库中包含的这个特性。

  Original Python logging package
     这是该 "logging" 包的原始来源。该站点提供的软件包版本适用于
     Python 1.5.2、2.1.x 和 2.2.x，它们不被 "logging" 包含在标准库中。
