# -*- coding: utf-8 -*-

# vim: tabstop=4 shiftwidth=4 softtabstop=4

#    Copyright (C) 2012 Yahoo! Inc. All Rights Reserved.
#
#    Licensed under the Apache License, Version 2.0 (the "License"); you may
#    not use this file except in compliance with the License. You may obtain
#    a copy of the License at
#
#         http://www.apache.org/licenses/LICENSE-2.0
#
#    Unless required by applicable law or agreed to in writing, software
#    distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
#    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
#    License for the specific language governing permissions and limitations
#    under the License.

import collections
import logging

from networkx import exception as g_exc
from networkx.algorithms import dag
from networkx.classes import digraph

from taskflow import exceptions as exc
from taskflow.patterns import ordered_flow

LOG = logging.getLogger(__name__)


class Flow(ordered_flow.Flow):
    """A flow which will analyze the attached tasks input requirements and
    determine who provides said input and order the task so that said providing
    task will be ran before."""

    def __init__(self, name, parents=None, allow_same_inputs=True):
        super(Flow, self).__init__(name, parents)
        self._graph = digraph.DiGraph()
        self._connected = False
        self._allow_same_inputs = allow_same_inputs

    def add(self, task):
        # Do something with the task, either store it for later
        # or add it to the graph right now...
        #
        # Only insert the node to start, connect all the edges
        # together later after all nodes have been added.
        self._graph.add_node(task)
        self._connected = False

    def _fetch_task_inputs(self, task):
        inputs = collections.defaultdict(list)

        for n in getattr(task, 'requires', []):
            for (them, there_result) in self.results:
                if (not self._graph.has_edge(them, task) or
                    not n in getattr(them, 'provides', [])):
                    continue
                if there_result and n in there_result:
                    inputs[n].append(there_result[n])
                else:
                    inputs[n].append(None)

        def collapse_functor(k_v):
            (k, v) = k_v
            if len(v) == 1:
                v = v[0]
            return (k, v)

        return dict(map(collapse_functor, inputs.iteritems()))

    def order(self):
        self.connect()
        try:
            return dag.topological_sort(self._graph)
        except g_exc.NetworkXUnfeasible:
            raise exc.InvalidStateException("Unable to correctly determine "
                                            "the path through the provided "
                                            "flow which will satisfy the "
                                            "tasks needed inputs and outputs.")

    def connect(self):
        """Connects the nodes & edges of the graph together."""
        if self._connected or len(self._graph) == 0:
            return

        # Figure out the provider of items and the requirers of items.
        provides_what = collections.defaultdict(list)
        requires_what = collections.defaultdict(list)
        for t in self._graph.nodes_iter():
            for r in getattr(t, 'requires', []):
                requires_what[r].append(t)
            for p in getattr(t, 'provides', []):
                provides_what[p].append(t)

        def get_providers(node, want_what):
            providers = []
            for (producer, me) in self._graph.in_edges_iter(node):
                providing_what = self._graph.get_edge_data(producer, me)
                if want_what in providing_what:
                    providers.append(producer)
            return providers

        # Link providers to consumers of items.
        for (want_what, who_wants) in requires_what.iteritems():
            who_provided = 0
            for p in provides_what[want_what]:
                # P produces for N so thats why we link P->N and not N->P
                for n in who_wants:
                    if p is n:
                        # No self-referencing allowed.
                        continue
                    if (len(get_providers(n, want_what)) and not
                        self._allow_same_inputs):
                        msg = "Multiple providers of %s not allowed."
                        raise exc.InvalidStateException(msg % (want_what))
                    self._graph.add_edge(p, n, attr_dict={
                        want_what: True,
                    })
                    who_provided += 1
            if not who_provided:
                who_wants = ", ".join([str(a) for a in who_wants])
                raise exc.InvalidStateException("%s requires input %s "
                                                "but no other task produces "
                                                "said output." % (who_wants,
                                                                  want_what))

        self._connected = True