| message[, level, server]) | 
ap_log_error()
  function. message is a string with the error message,
  level is one of the following flags constants:
    APLOG_EMERG
    APLOG_ALERT
    APLOG_CRIT
    APLOG_ERR
    APLOG_WARNING
    APLOG_NOTICE
    APLOG_INFO
    APLOG_DEBUG
    APLOG_NOERRNO
server is a reference to a req.server object. If
  server is not specified, then the error will be logged to the
  default error log, otherwise it will be written to the error log for
  the appropriate virtual server. When server is not specified,
  the setting of LogLevel does not apply, the LogLevel is dictated by
  an httpd compile-time default, usually warn.
If you have a reference to a request object available, consider using req.log_error instead, it will prepend request-specific information such as the source IP of the request to the log entry.
| module_name[, autoreload=None, log=None, path=None]) | 
If you are trying to port code from an older version of mod_python to mod_python 3.3 and can't work out why the new importer is not working for you, you can enable the old module importer for specific Python interpreter instances by using:
    PythonOption mod_python.legacy.importer name
where 'name' is the name of the interpreter instance or '*' for it to be applied to all interpreter instances. This option should be placed at global context within the main Apache configuration files.
When using the apache.import_module() function, the
  module_name should be a string containing either the module name,
  or a path to the actual code file for the module; where a module is a
  candidate for automatic module reloading, autoreload indicates
  whether the module should be reloaded if it has changed since the last
  import; when log is true, a message will be written to the logs
  when a module is reloaded; path can be a list specifying additional
  directories to be searched for modules.
With the introduction of mod_python 3.3, the default arguments for the
  autoreload and log arguments have been changed to
  None, with the arguments effectively now being unnecessary except
  in special circumstances. When the arguments are left as the default of
  None, the Apache configuration in scope at the time of the call
  will always be consulted automatically for any settings for the
  PythonAutoReload and PythonDebug directives respectively.
Example:
    from mod_python import apache
    module = apache.import_module('module_name')
The apache.import_module() function is not just a wrapper for the
  standard Python module import mechanism. The purpose of the function and
  the mod_python module importer in general, is to provide a means of being
  able to import modules based on their exact location, with modules being
  distinguished based on their location rather than just the name of the
  module. Distinguishing modules in this way, rather than by name alone,
  means that the same module name can be used for handlers and other code
  in multiple directories and they will not interfere with each other.
A secondary feature of the module importer is to implement a means of having modules automatically reloaded when the corresponding code file has been changed on disk. Having modules be able to be reloaded in this way means that it is possible to change the code for a web application without having to restart the whole Apache web server. Although this was always the intent of the module importer, prior to mod_python 3.3, its effectiveness was limited. With mod_python 3.3 however, the module reloading feature is much more robust and will correctly reload parent modules even when it was only a child module what was changed.
When the apache.import_module() function is called with just the
  name of the module, as opposed to a path to the actual code file for the
  module, a search has to be made for the module. The first set of
  directories that will be checked are those specified by the path
  argument if supplied.
Where the function is called from another module which had previously
  been imported by the mod_python importer, the next directory which will
  be checked will be the same directory as the parent module is located.
  Where that same parent module contains a global data variable called
  __mp_path__ containing a list of directories, those directories
  will also be searched.
Finally, the mod_python module importer will search directories
  specified by the PythonOption called mod_python.importer.path.
For example:
    PythonOption mod_python.importer.path "['/some/path']"
The argument to the option must be in the form of a Python list. The
  enclosing quotes are to ensure that Apache interprets the argument as a
  single value. The list must be self contained and cannot reference any
  prior value of the option. The list MUST NOT reference sys.path
  nor should any directory which also appears in sys.path be
  listed in the mod_python module importer search path.
When searching for the module, a check is made for any code file with the name specified and having a '.py' extension. Because only modules implemented as a single file will be found, packages will not be found nor modules contained within a package.
In any case where a module cannot be found, control is handed off to the
  standard Python module importer which will attempt to find the module or
  package by searching sys.path.
Note that only modules found by the mod_python module importer are candidates for automatic module reloading. That is, where the mod_python module importer could not find a module and handed the search off to the standard Python module importer, those modules or packages will not be able to be reloaded.
Although true Python packages are not candidates for reloading and must
  be located in a directory listed in sys.path, another form of
  packaging up modules such that they can be maintained within their own
  namespace is supported. When this mechanism is used, these modules will
  be candidates for reloading when found by the mod_python module importer.
In this scheme for maintaining a pseudo package, individual modules are
  still placed into a directory, but the __init__.py file in the
  directory has no special meaning and will not be automatically imported
  as is the case with true Python packages. Instead, any module within the
  directory must always be explicitly identified when performing an import.
To import a named module contained within these pseudo packages, rather than using a '.' to distinguish a sub module from the parent, a '/' is used instead. For example:
    from mod_python import apache
    module = apache.import_module('dirname/module_name')
If an __init__.py file is present and it was necessary to import
  it to achieve the same result as importing the root of a true Python
  package, then __init__ can be used as the module name. For example:
    from mod_python import apache
    module = apache.import_module('dirname/__init__')
As a true Python package is not being used, if a module in the directory needs to refer to another module in the same directory, it should use just its name, it should not use any form of dotted path name via the root of the package as would be the case for true Python packages. Modules in subdirectories can be imported by using a '/' separated path where the first part of the path is the name of the subdirectory.
As a new feature in mod_python 3.3, when using the standard Python
  'import' statement to import a module, if the import is being done from a
  module which was previously imported by the mod_python module importer,
  it is equivalent to having called apache.import_module() directly.
For example:
    import name
is equivalent to:
    from mod_python import apache
    name = apache.import_module('name')
It is also possible to use constructs such as:
    import name as module
and:
    from name import value
Although the 'import' statement is used, that it maps through to the
  apache.import_module() function ensures that parent/child
  relationships are maintained correctly and reloading of a parent will
  still work when only the child has been changed. It also ensures that one
  will not end up with modules which were separately imported by the
  mod_python module importer and the standard Python module importer.
With the reimplementation of the module importer in mod_python 3.3, the module_name argument may also now be an absolute path name of an actual Python module contained in a single file. On Windows, a drive letter can be supplied if necessary. For example:
    from mod_python import apache
    name = apache.import_module('/some/path/name.py')
or:
    from mod_python import apache
    import os
    here = os.path.dirname(__file__)
    path = os.path.join(here, 'module.py')
    module = apache.import_module(path)
Where the file has an extension, that extension must be supplied. Although it is recommended that code files still make use of the '.py' extension, it is not actually a requirement and an alternate extension can be used. For example:
    from mod_python import apache
    import os
    here = os.path.dirname(__file__)
    path = os.path.join(here, 'servlet.mps')
    servlet = apache.import_module(path)
To avoid the need to use hard coded absolute path names to modules, a few shortcuts are provided. The first of these allow for the use of relative path names with respect to the directory the module performing the import is located within.
For example:
    from mod_python import apache
    parent = apache.import_module('../module.py')
    subdir = apache.import_module('./subdir/module.py')
Forward slashes must always be used for the prefixes './' and '../', even
  on Windows hosts where native pathname use a backslash. This convention
  of using forward slashes is used as that is what Apache normalizes all
  paths to internally. If you are using Windows and have been using
  backward slashes with Directory directives etc, you are using
  Apache contrary to what is the accepted norm.
A further shortcut allows paths to be declared relative to what is
  regarded as the handler root directory. The handler root directory is the
  directory context in which the active Python*Handler directive was
  specified. If the directive was specified within a Location or
  VirtualHost directive, or at global server scope, the handler root
  will be the relevant document root for the server.
To express paths relative to the handler root, the '~/' prefix should be used. A forward slash must again always be used, even on Windows.
For example:
    from mod_python import apache
    parent = apache.import_module('~/../module.py')
    subdir = apache.import_module('~/subdir/module.py')
In all cases where a path to the actual code file for a module is given,
  the path argument is redundant as there is no need to search
  through a list of directories to find the module. In these situations,
  the path is instead taken to be a list of directories to use as the
  initial value of the __mp_path__ variable contained in the
  imported modules instead of an empty path.
This feature can be used to attach a more restrictive search path to a
  set of modules rather than using the PythonOption to set a global
  search path. To do this, the modules should always be imported through a
  specific parent module. That module should then always import submodules
  using paths and supply __mp_path__ as the path argument to
  subsequent calls to apache.import_module() within that module. For
  example:
    from mod_python import apache
    module1 = apache.import_module('./module1.py', path=__mp_path__)
    module2 = apache.import_module('./module2.py', path=__mp_path__)
with the module being imported as:
    from mod_python import apache
    parent = apache.import_module('~/modules/parent.py', path=['/some/path'])
The parent module may if required extend the value of __mp_path__
  prior to using it. Any such directories will be added to those inherited
  via the path argument. For example:
    from mod_python import apache
    import os
    here = os.path.dirname(__file__)
    subdir = os.path.join(here, 'subdir')
    __mp_path__.append(subdir)
    module1 = apache.import_module('./module1.py', path=__mp_path__)
    module2 = apache.import_module('./module2.py', path=__mp_path__)
In all cases where a search path is being specified which is specific
  to the mod_python module importer, whether it be specified using the
  PythonOption called mod_python.importer.path, using the
  path argument to the apache.import_module() function or
  in the __mp_path__ attribute, the prefix '~/'
  can be used in a path and that path will be taken as being relative
  to handler root. For example:
    PythonOption mod_python.importer.path "['~/modules']"
If wishing to refer to the handler root directory itself, then '~' can be used and the trailing slash left off. For example:
    PythonOption mod_python.importer.path "['~']"
Note that with the new module importer, as directories associated with
  Python*Handler directives are no longer being added automatically
  to sys.path and they are instead used directly by the module
  importer only when required, some existing code which expected to be able
  to import modules in the handler root directory from a module in a
  subdirectory may no longer work. In these situations it will be necessary
  to set the mod_python module importer path to include '~'
  or list '~' in the __mp_path__ attribute of the module
  performing the import.
This trick of listing '~' in the module importer path 
  will not however help in the case where Python packages were previously
  being placed into the handler root directory. In this case, the Python
  package should either be moved out of the document tree and the directory
  where it is located listed against the PythonPath directive, or the
  package converted into the pseudo packages that mod_python supports and
  change the module imports used to access the package.
Only modules which could be imported by the mod_python module importer
  will be candidates for automatic reloading when changes are made to the
  code file on disk. Any modules or packages which were located in a
  directory listed in sys.path and which were imported using the
  standard Python module importer will not be candidates for reloading.
Even where modules are candidates for module reloading, unless a true
  value was explicitly supplied as the autoreload option to the
  apache.import_module() function they will only be reloaded if the
  PythonAutoReload directive is On. The default value when
  the directive is not specified will be On, so the directive need
  only be used when wishing to set it to Off to disable automatic
  reloading, such as in a production system.
Where possible, the PythonAutoReload directive should only be
  specified in one place and in the root context for a specific Python
  interpreter instance. If the PythonAutoReload directive is used in
  multiple places with different values, or doesn't cover all directories
  pertaining to a specific Python interpreter instance, then problems can
  result. This is because requests against some URLs may result in modules
  being reloaded whereas others may not, even when through each URL the
  same module may be imported from a common location.
If absolute certainty is required that module reloading is disabled and
  that it isn't being enabled through some subset of URLs, the
  PythonImport directive should be used to import a special module
  whenever an Apache child process is being created. This module should
  include a call to the apache.freeze_modules() function. This
  will have the effect of permanently disabling module reloading for the
  complete life of that Apache child process, irrespective of what value
  the PythonAutoReload directive is set to.
Using the new ability within mod_python 3.3 to have PythonImport
  call a specific function within a module after it has been imported,
  one could actually dispense with creating a module and instead call
  the function directory out of the mod_python.apache module.
  For example:
    PythonImport mod_python.apache::freeze_modules interpreter_name
Where module reloading is being undertaken, unlike the core module importer in versions of mod_python prior to 3.3, they are not reloaded on top of existing modules, but into a completely new module instance. This means that any code that previously relied on state information or data caches to be preserved across reloads will no longer work.
If it is necessary to transfer such information from an old module to the
  new module, it is necessary to provide a hook function within modules to
  transfer across the data that must be preserved. The name of this hook
  function is __mp_clone__(). The argument given to the hook
  function will be an empty module into which the new module will subsequently
  be loaded.
When called, the hook function should copy any data from the old module to the new module. In doing this, the code performing the copying should be cognizant of the fact that within a multithreaded Apache MPM that other request handlers could still be trying to access and update the data to be copied. As such, the hook function should ensure that it uses any thread locking mechanisms within the module as appropriate when copying the data. Further, it should copy the actual data locks themselves across to the new module to ensure a clean transition.
Because copying integral values will result in the data then being separate, it may be necessary to always store data within a dictionary so as to provide a level of indirection which will allow the data to be usable from both module instances while they still exist.
For example:
  import threading, time
  if not globals().has_key('_lock'):
    # Initial import of this module.
    _lock = threading.Lock()
    _data1 = { 'value1' : 0, 'value2': 0 }
    _data2 = {}
  def __mp_clone__(module):
    _lock.acquire()
    module._lock = _lock
    module._data1 = _data1
    module._data2 = _data2
    _lock.release()
Because the old module is about to be discarded, the data which is transferred should not consist of data objects which are dependent on code within the old module. Data being copied across to the new module should consist of standard Python data types, or be instances of classes contained within modules which themselves are not candidates for reloading. Otherwise, data should be migrated by transforming it into some neutral intermediate state, with the new module transforming it back when its code executes at the time of being imported.
If these guidelines aren't heeded and data is dependent on code objects within the old module, it will prevent those code objects from being unloaded and if this continues across multiple reloads, then process size may increase over time due to old code objects being retained.
In any case, if for some reason the hook function fails and an exception
  is raised then both the old and new modules will be discarded. As a last
  opportunity to release any resources when this occurs, an extra hook
  function called __mp_purge__() can be supplied. This function will
  be called with no arguments.
| [*args]) | 
HTTP_NOT_IMPLEMENTED error.
Arguments can be one or more of the following:
    M_GET
    M_PUT
    M_POST
    M_DELETE
    M_CONNECT
    M_OPTIONS
    M_TRACE
    M_PATCH
    M_PROPFIND
    M_PROPPATCH
    M_MKCOL
    M_COPY
    M_MOVE
    M_LOCK
    M_UNLOCK
    M_VERSION_CONTROL
    M_CHECKOUT
    M_UNCHECKOUT
    M_CHECKIN
    M_UPDATE
    M_LABEL
    M_REPORT
    M_MKWORKSPACE
    M_MKACTIVITY
    M_BASELINE_CONTROL
    M_MERGE
    M_INVALID
| name) | 
-DFOOBAR
    parameter by calling apache.exists_config_define('FOOBAR').
| fname, wanted) | 
mp_finfo object
    describing information related to the file with name fname.
    The wanted argument describes the minimum attributes which
    should be filled out. The resultant object can be assigned to the
    req.finfo attribute.
| callable[, data]) | 
| ) | 
| ) | 
| ) | 
| code) | 
AP_MPMQ_NOT_SUPPORTED      = 0  # This value specifies whether 
                                # an MPM is capable of         
                                # threading or forking.        
AP_MPMQ_STATIC             = 1  # This value specifies whether 
                                # an MPM is using a static # of
                                # threads or daemons.          
AP_MPMQ_DYNAMIC            = 2  # This value specifies whether 
                                # an MPM is using a dynamic # of
                                # threads or daemons.
The code argument must be one of the following:
AP_MPMQ_MAX_DAEMON_USED = 1 # Max # of daemons used so far AP_MPMQ_IS_THREADED = 2 # MPM can do threading AP_MPMQ_IS_FORKED = 3 # MPM can do forking AP_MPMQ_HARD_LIMIT_DAEMONS = 4 # The compiled max # daemons AP_MPMQ_HARD_LIMIT_THREADS = 5 # The compiled max # threads AP_MPMQ_MAX_THREADS = 6 # # of threads/child by config AP_MPMQ_MIN_SPARE_DAEMONS = 7 # Min # of spare daemons AP_MPMQ_MIN_SPARE_THREADS = 8 # Min # of spare threads AP_MPMQ_MAX_SPARE_DAEMONS = 9 # Max # of spare daemons AP_MPMQ_MAX_SPARE_THREADS = 10 # Max # of spare threads AP_MPMQ_MAX_REQUESTS_DAEMON= 11 # Max # of requests per daemon AP_MPMQ_MAX_DAEMONS = 12 # Max # of daemons by config
Example:
if apache.mpm_query(apache.AP_MPMQ_IS_THREADED):
    # do something
else:
    # do something else