"""Dependency utilities

Authors:

* Min RK
"""
#-----------------------------------------------------------------------------
#  Copyright (C) 2010-2011  The IPython Development Team
#
#  Distributed under the terms of the BSD License.  The full license is in
#  the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------

from types import ModuleType

from IPython.parallel.client.asyncresult import AsyncResult
from IPython.parallel.error import UnmetDependency
from IPython.parallel.util import interactive
from IPython.utils import py3compat

class depend(object):
    """Dependency decorator, for use with tasks.
    
    `@depend` lets you define a function for engine dependencies
    just like you use `apply` for tasks.
    
    
    Examples
    --------
    ::
    
        @depend(df, a,b, c=5)
        def f(m,n,p)
        
        view.apply(f, 1,2,3)
    
    will call df(a,b,c=5) on the engine, and if it returns False or
    raises an UnmetDependency error, then the task will not be run
    and another engine will be tried.
    """
    def __init__(self, f, *args, **kwargs):
        self.f = f
        self.args = args
        self.kwargs = kwargs
    
    def __call__(self, f):
        return dependent(f, self.f, *self.args, **self.kwargs)

class dependent(object):
    """A function that depends on another function.
    This is an object to prevent the closure used
    in traditional decorators, which are not picklable.
    """

    def __init__(self, f, df, *dargs, **dkwargs):
        self.f = f
        self.func_name = getattr(f, '__name__', 'f')
        self.df = df
        self.dargs = dargs
        self.dkwargs = dkwargs

    def __call__(self, *args, **kwargs):
        # if hasattr(self.f, 'func_globals') and hasattr(self.df, 'func_globals'):
        #     self.df.func_globals = self.f.func_globals
        if self.df(*self.dargs, **self.dkwargs) is False:
            raise UnmetDependency()
        return self.f(*args, **kwargs)
    
    if not py3compat.PY3:
        @property
        def __name__(self):
            return self.func_name

@interactive
def _require(*names):
    """Helper for @require decorator."""
    from IPython.parallel.error import UnmetDependency
    user_ns = globals()
    for name in names:
        if name in user_ns:
            continue
        try:
            exec 'import %s'%name in user_ns
        except ImportError:
            raise UnmetDependency(name)
    return True

def require(*mods):
    """Simple decorator for requiring names to be importable.
    
    Examples
    --------
    
    In [1]: @require('numpy')
       ...: def norm(a):
       ...:     import numpy
       ...:     return numpy.linalg.norm(a,2)
    """
    names = []
    for mod in mods:
        if isinstance(mod, ModuleType):
            mod = mod.__name__
        
        if isinstance(mod, basestring):
            names.append(mod)
        else:
            raise TypeError("names must be modules or module names, not %s"%type(mod))
    
    return depend(_require, *names)

class Dependency(set):
    """An object for representing a set of msg_id dependencies.
    
    Subclassed from set().
    
    Parameters
    ----------
    dependencies: list/set of msg_ids or AsyncResult objects or output of Dependency.as_dict()
        The msg_ids to depend on
    all : bool [default True]
        Whether the dependency should be considered met when *all* depending tasks have completed
        or only when *any* have been completed.
    success : bool [default True]
        Whether to consider successes as fulfilling dependencies.
    failure : bool [default False]
        Whether to consider failures as fulfilling dependencies.
    
    If `all=success=True` and `failure=False`, then the task will fail with an ImpossibleDependency
        as soon as the first depended-upon task fails.
    """
    
    all=True
    success=True
    failure=True
    
    def __init__(self, dependencies=[], all=True, success=True, failure=False):
        if isinstance(dependencies, dict):
            # load from dict
            all = dependencies.get('all', True)
            success = dependencies.get('success', success)
            failure = dependencies.get('failure', failure)
            dependencies = dependencies.get('dependencies', [])
        ids = []
        
        # extract ids from various sources:
        if isinstance(dependencies, (basestring, AsyncResult)):
            dependencies = [dependencies]
        for d in dependencies:
            if isinstance(d, basestring):
                ids.append(d)
            elif isinstance(d, AsyncResult):
                ids.extend(d.msg_ids)
            else:
                raise TypeError("invalid dependency type: %r"%type(d))
        
        set.__init__(self, ids)
        self.all = all
        if not (success or failure):
            raise ValueError("Must depend on at least one of successes or failures!")
        self.success=success
        self.failure = failure
    
    def check(self, completed, failed=None):
        """check whether our dependencies have been met."""
        if len(self) == 0:
            return True
        against = set()
        if self.success:
            against = completed
        if failed is not None and self.failure:
            against = against.union(failed)
        if self.all:
            return self.issubset(against)
        else:
            return not self.isdisjoint(against)
    
    def unreachable(self, completed, failed=None):
        """return whether this dependency has become impossible."""
        if len(self) == 0:
            return False
        against = set()
        if not self.success:
            against = completed
        if failed is not None and not self.failure:
            against = against.union(failed)
        if self.all:
            return not self.isdisjoint(against)
        else:
            return self.issubset(against)
        
    
    def as_dict(self):
        """Represent this dependency as a dict. For json compatibility."""
        return dict(
            dependencies=list(self),
            all=self.all,
            success=self.success,
            failure=self.failure
        )


__all__ = ['depend', 'require', 'dependent', 'Dependency']

