"""
Python Lexical Analyser

Classes for building NFAs and DFAs
"""
from __future__ import absolute_import

from .Transitions import TransitionMap

try:
    from sys import maxsize as maxint
except ImportError:
    from sys import maxint

try:
    unichr
except NameError:
    unichr = chr

LOWEST_PRIORITY = -maxint


class Machine(object):
    """A collection of Nodes representing an NFA or DFA."""
    states = None          # [Node]
    next_state_number = 1
    initial_states = None  # {(name, bol): Node}

    def __init__(self):
        self.states = []
        self.initial_states = {}

    def __del__(self):
        for state in self.states:
            state.destroy()

    def new_state(self):
        """Add a new state to the machine and return it."""
        s = Node()
        n = self.next_state_number
        self.next_state_number = n + 1
        s.number = n
        self.states.append(s)
        return s

    def new_initial_state(self, name):
        state = self.new_state()
        self.make_initial_state(name, state)
        return state

    def make_initial_state(self, name, state):
        self.initial_states[name] = state

    def get_initial_state(self, name):
        return self.initial_states[name]

    def dump(self, file):
        file.write("Plex.Machine:\n")
        if self.initial_states is not None:
            file.write("   Initial states:\n")
            for (name, state) in sorted(self.initial_states.items()):
                file.write("      '%s': %d\n" % (name, state.number))
        for s in self.states:
            s.dump(file)


class Node(object):
    """A state of an NFA or DFA."""
    transitions = None      # TransitionMap
    action = None           # Action
    action_priority = None  # integer
    number = 0              # for debug output
    epsilon_closure = None  # used by nfa_to_dfa()

    def __init__(self):
        # Preinitialise the list of empty transitions, because
        # the nfa-to-dfa algorithm needs it
        self.transitions = TransitionMap()
        self.action_priority = LOWEST_PRIORITY

    def destroy(self):
        self.transitions = None
        self.action = None
        self.epsilon_closure = None

    def add_transition(self, event, new_state):
        self.transitions.add(event, new_state)

    def link_to(self, state):
        """Add an epsilon-move from this state to another state."""
        self.add_transition('', state)

    def set_action(self, action, priority):
        """Make this an accepting state with the given action. If
        there is already an action, choose the action with highest
        priority."""
        if priority > self.action_priority:
            self.action = action
            self.action_priority = priority

    def get_action(self):
        return self.action

    def get_action_priority(self):
        return self.action_priority

    def is_accepting(self):
        return self.action is not None

    def __str__(self):
        return "State %d" % self.number

    def dump(self, file):
        # Header
        file.write("   State %d:\n" % self.number)
        # Transitions
        #        self.dump_transitions(file)
        self.transitions.dump(file)
        # Action
        action = self.action
        priority = self.action_priority
        if action is not None:
            file.write("      %s [priority %d]\n" % (action, priority))

    def __lt__(self, other):
        return self.number < other.number


class FastMachine(object):
    """
    FastMachine is a deterministic machine represented in a way that
    allows fast scanning.
    """
    initial_states = None  # {state_name:state}
    states = None          # [state]  where state = {event:state, 'else':state, 'action':Action}
    next_number = 1        # for debugging

    new_state_template = {
        '': None, 'bol': None, 'eol': None, 'eof': None, 'else': None
    }

    def __init__(self):
        self.initial_states = {}
        self.states = []

    def __del__(self):
        for state in self.states:
            state.clear()

    def new_state(self, action=None):
        number = self.next_number
        self.next_number = number + 1
        result = self.new_state_template.copy()
        result['number'] = number
        result['action'] = action
        self.states.append(result)
        return result

    def make_initial_state(self, name, state):
        self.initial_states[name] = state

    def add_transitions(self, state, event, new_state, maxint=maxint):
        if type(event) is tuple:
            code0, code1 = event
            if code0 == -maxint:
                state['else'] = new_state
            elif code1 != maxint:
                while code0 < code1:
                    state[unichr(code0)] = new_state
                    code0 += 1
        else:
            state[event] = new_state

    def get_initial_state(self, name):
        return self.initial_states[name]

    def dump(self, file):
        file.write("Plex.FastMachine:\n")
        file.write("   Initial states:\n")
        for name, state in sorted(self.initial_states.items()):
            file.write("      %s: %s\n" % (repr(name), state['number']))
        for state in self.states:
            self.dump_state(state, file)

    def dump_state(self, state, file):
        # Header
        file.write("   State %d:\n" % state['number'])
        # Transitions
        self.dump_transitions(state, file)
        # Action
        action = state['action']
        if action is not None:
            file.write("      %s\n" % action)

    def dump_transitions(self, state, file):
        chars_leading_to_state = {}
        special_to_state = {}
        for (c, s) in state.items():
            if len(c) == 1:
                chars = chars_leading_to_state.get(id(s), None)
                if chars is None:
                    chars = []
                    chars_leading_to_state[id(s)] = chars
                chars.append(c)
            elif len(c) <= 4:
                special_to_state[c] = s
        ranges_to_state = {}
        for state in self.states:
            char_list = chars_leading_to_state.get(id(state), None)
            if char_list:
                ranges = self.chars_to_ranges(char_list)
                ranges_to_state[ranges] = state
        ranges_list = ranges_to_state.keys()
        ranges_list.sort()
        for ranges in ranges_list:
            key = self.ranges_to_string(ranges)
            state = ranges_to_state[ranges]
            file.write("      %s --> State %d\n" % (key, state['number']))
        for key in ('bol', 'eol', 'eof', 'else'):
            state = special_to_state.get(key, None)
            if state:
                file.write("      %s --> State %d\n" % (key, state['number']))

    def chars_to_ranges(self, char_list):
        char_list.sort()
        i = 0
        n = len(char_list)
        result = []
        while i < n:
            c1 = ord(char_list[i])
            c2 = c1
            i += 1
            while i < n and ord(char_list[i]) == c2 + 1:
                i += 1
                c2 += 1
            result.append((chr(c1), chr(c2)))
        return tuple(result)

    def ranges_to_string(self, range_list):
        return ','.join(map(self.range_to_string, range_list))

    def range_to_string(self, range_tuple):
        (c1, c2) = range_tuple
        if c1 == c2:
            return repr(c1)
        else:
            return "%s..%s" % (repr(c1), repr(c2))
