path: root/scribus/doc/it/scripterapi-layer.html

# Authors:
#   Martin Nagy <mnagy@redhat.com>
#   Jason Gerard DeRose <jderose@redhat.com>
#
# Copyright (C) 2008  Red Hat
# see file 'COPYING' for use and warranty information
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program.  If not, see <http://www.gnu.org/licenses/>.

"""
Process-wide static configuration and environment.

The standard run-time instance of the `Env` class is initialized early in the
`ipalib` process and is then locked into a read-only state, after which no
further changes can be made to the environment throughout the remaining life
of the process.

For the per-request thread-local information, see `ipalib.request`.
"""

import urlparse
from ConfigParser import RawConfigParser, ParsingError
from types import NoneType
import os
from os import path
import sys
from ipapython.dn import DN

from base import check_name
from constants import CONFIG_SECTION
from constants import OVERRIDE_ERROR, SET_ERROR, DEL_ERROR


class Env(object):
    """
    Store and retrieve environment variables.

    First an foremost, the `Env` class provides a handy container for
    environment variables.  These variables can be both set *and* retrieved
    either as attributes *or* as dictionary items.

    For example, you can set a variable as an attribute:

    >>> env = Env()
    >>> env.attr = 'I was set as an attribute.'
    >>> env.attr
    u'I was set as an attribute.'
    >>> env['attr']  # Also retrieve as a dictionary item
    u'I was set as an attribute.'

    Or you can set a variable as a dictionary item:

    >>> env['item'] = 'I was set as a dictionary item.'
    >>> env['item']
    u'I was set as a dictionary item.'
    >>> env.item  # Also retrieve as an attribute
    u'I was set as a dictionary item.'

    The variable names must be valid lower-case Python identifiers that neither
    start nor end with an underscore.  If your variable name doesn't meet these
    criteria, a ``ValueError`` will be raised when you try to set the variable
    (compliments of the `base.check_name()` function).  For example:

    >>> env.BadName = 'Wont work as an attribute'
    Traceback (most recent call last):
      ...
    ValueError: name must match '^[a-z][_a-z0-9]*[a-z0-9]$|^[a-z]$'; got 'BadName'
    >>> env['BadName'] = 'Also wont work as a dictionary item'
    Traceback (most recent call last):
      ...
    ValueError: name must match '^[a-z][_a-z0-9]*[a-z0-9]$|^[a-z]$'; got 'BadName'

    The variable values can be ``str``, ``int``, or ``float`` instances, or the
    ``True``, ``False``, or ``None`` constants.  When the value provided is an
    ``str`` instance, some limited automatic type conversion is performed, which
    allows values of specific types to be set easily from configuration files or
    command-line options.

    So in addition to their actual values, the ``True``, ``False``, and ``None``
    constants can be specified with an ``str`` equal to what ``repr()`` would
    return.  For example:

    >>> env.true = True
    >>> env.also_true = 'True'  # Equal to repr(True)
    >>> env.true
    True
    >>> env.also_true
    True

    Note that the automatic type conversion is case sensitive.  For example:

    >>> env.not_false = 'false'  # Not equal to repr(False)!
    >>> env.not_false
    u'false'

    If an ``str`` value looks like an integer, it's automatically converted to
    the ``int`` type.

    >>> env.lucky = '7'
    >>> env.lucky
    7

    Leading and trailing white-space is automatically stripped from ``str``
    values.  For example:

    >>> env.message = '  Hello!  '  # Surrounded by double spaces
    >>> env.message
    u'Hello!'
    >>> env.number = ' 42 '  # Still converted to an int
    >>> env.number
    42
    >>> env.false = ' False '  # Still equal to repr(False)
    >>> env.false
    False

    Also, empty ``str`` instances are converted to ``None``.  For example:

    >>> env.empty = ''
    >>> env.empty is None
    True

    `Env` variables are all set-once (first-one-wins).  Once a variable has been
    set, trying to override it will raise an ``AttributeError``.  For example:

    >>> env.date = 'First'
    >>> env.date = 'Second'
    Traceback (most recent call last):
      ...
    AttributeError: cannot override Env.date value u'First' with 'Second'

    An `Env` instance can be *locked*, after which no further variables can be
    set.  Trying to set variables on a locked `Env` instance will also raise
    an ``AttributeError``.  For example:

    >>> env = Env()
    >>> env.okay = 'This will work.'
    >>> env.__lock__()
    >>> env.nope = 'This wont work!'
    Traceback (most recent call last):
      ...
    AttributeError: locked: cannot set Env.nope to 'This wont work!'

    `Env` instances also provide standard container emulation for membership
    testing, counting, and iteration.  For example:

    >>> env = Env()
    >>> 'key1' in env  # Has key1 been set?
    False
    >>> env.key1 = 'value 1'
    >>> 'key1' in env
    True
    >>> env.key2 = 'value 2'
    >>> len(env)  # How many variables have been set?
    2
    >>> list(env)  # What variables have been set?
    ['key1', 'key2']

    Lastly, in addition to all the handy container functionality, the `Env`
    class provides high-level methods for bootstraping a fresh `Env` instance
    into one containing all the run-time and configuration information needed
    by the built-in freeIPA plugins.

    These are the `Env` bootstraping methods, in the order they must be called:

        1. `Env._bootstrap()` - initialize the run-time variables and then
           merge-in variables specified on the command-line.

        2. `Env._finalize_core()` - merge-in variables from the configuration
           files and then merge-in variables from the internal defaults, after
           which at least all the standard variables will be set.  After this
           method is called, the plugins will be loaded, during which
           third-party plugins can merge-in defaults for additional variables
           they use (likely using the `Env._merge()` method).

        3. `Env._finalize()` - one last chance to merge-in variables and then
           the instance is locked.  After this method is called, no more
           environment variables can be set during the remaining life of the
           process.

    However, normally none of these three bootstraping methods are called
    directly and instead only `plugable.API.bootstrap()` is called, which itself
    takes care of correctly calling the `Env` bootstrapping methods.
    """

    __locked = False

    def __init__(self, **initialize):
        object.__setattr__(self, '_Env__d', {})
        object.__setattr__(self, '_Env__done', set())
        if initialize:
            self._merge(**initialize)

    def __lock__(self):
        """
        Prevent further changes to environment.
        """
        if self.__locked is True:
            raise StandardError(
                '%s.__lock__() already called' % self.__class__.__name__
            )
        object.__setattr__(self, '_Env__locked', True)

    def __islocked__(self):
        """
        Return ``True`` if locked.
        """
        return self.__locked

    def __setattr__(self, name, value):
        """
        Set the attribute named ``name`` to ``value``.

        This just calls `Env.__setitem__()`.
        """
        self[name] = value

    def __setitem__(self, key, value):
        """
        Set ``key`` to ``value``.
        """
        if self.__locked:
            raise AttributeError(
                SET_ERROR % (self.__class__.__name__, key, value)
            )
        check_name(key)
        if key in self.__d:
            raise AttributeError(OVERRIDE_ERROR %
                (self.__class__.__name__, key, self.__d[key], value)
            )
        assert not hasattr(self, key)
        if isinstance(value, basestring):
            value = value.strip()
            if isinstance(value, str):
                value = value.decode('utf-8')
            m = {
                'True': True,
                'False': False,
                'None': None,
                '': None,
            }
            if value in m:
                value = m[value]
            elif value.isdigit():
                value = int(value)
            elif key == 'basedn':
                value = DN(value)
        assert type(value) in (unicode, int, float, bool, NoneType, DN)
        object.__setattr__(self, key, value)
        self.__d[key] = value

    def __getitem__(self, key):
        """
        Return the value corresponding to ``key``.
        """
        return self.__d[key]

    def __delattr__(self, name):
        """
        Raise an ``AttributeError`` (deletion is never allowed).

        For example:

        >>> env = Env()
        >>> env.name = 'A value'
        >>> del env.name
        Traceback (most recent call last):
          ...
        AttributeError: locked: cannot delete Env.name
        """
        raise AttributeError(
            DEL_ERROR % (self.__class__.__name__, name)
        )

    def __contains__(self, key):
        """
        Return True if instance contains ``key``; otherwise return False.
        """
        return key in self.__d

    def __len__(self):
        """
        Return number of variables currently set.
        """
        return len(self.__d)

    def __iter__(self):
        """
        Iterate through keys in ascending order.
        """
        for key in sorted(self.__d):
            yield key

    def _merge(self, **kw):
        """
        Merge variables from ``kw`` into the environment.

        Any variables in ``kw`` that have already been set will be ignored
        (meaning this method will *not* try to override them, which would raise
        an exception).

        This method returns a ``(num_set, num_total)`` tuple containing first
        the number of variables that were actually set, and second the total
        number of variables that were provided.

        For example:

        >>> env = Env()
        >>> env._merge(one=1, two=2)
        (2, 2)
        >>> env._merge(one=1, three=3)
        (1, 2)
        >>> env._merge(one=1, two=2, three=3)
        (0, 3)