"""
Python Lexical Analyser

Lexical Analyser Specification
"""

from . import Actions
from . import DFA
from . import Errors
from . import Machines
from . import Regexps

# debug_flags for Lexicon constructor
DUMP_NFA = 1
DUMP_DFA = 2


class State:
    """
    This class is used as part of a Plex.Lexicon specification to
    introduce a user-defined state.

    Constructor:

       State(name, token_specifications)
    """

    name = None
    tokens = None

    def __init__(self, name, tokens):
        self.name = name
        self.tokens = tokens


class Lexicon:
    """
    Lexicon(specification) builds a lexical analyser from the given
    |specification|. The specification consists of a list of
    specification items. Each specification item may be either:

       1) A token definition, which is a tuple:

             (pattern, action)

          The |pattern| is a regular axpression built using the
          constructors defined in the Plex module.

          The |action| is the action to be performed when this pattern
          is recognised (see below).

       2) A state definition:

             State(name, tokens)

          where |name| is a character string naming the state,
          and |tokens| is a list of token definitions as
          above. The meaning and usage of states is described
          below.

    Actions
    -------

    The |action| in a token specification may be one of three things:

       1) A function, which is called as follows:

             function(scanner, text)

          where |scanner| is the relevant Scanner instance, and |text|
          is the matched text. If the function returns anything
          other than None, that value is returned as the value of the
          token. If it returns None, scanning continues as if the IGNORE
          action were specified (see below).

        2) One of the following special actions:

           IGNORE means that the recognised characters will be treated as
                  white space and ignored. Scanning will continue until
                  the next non-ignored token is recognised before returning.

           TEXT   causes the scanned text itself to be returned as the
                  value of the token.

        3) Any other value, which is returned as the value of the token.

    States
    ------

    At any given time, the scanner is in one of a number of states.
    Associated with each state is a set of possible tokens. When scanning,
    only tokens associated with the current state are recognised.

    There is a default state, whose name is the empty string. Token
    definitions which are not inside any State definition belong to
    the default state.

    The initial state of the scanner is the default state. The state can
    be changed in one of two ways:

       1) Using Begin(state_name) as the action of a token.

       2) Calling the begin(state_name) method of the Scanner.

    To change back to the default state, use '' as the state name.
    """

    machine = None  # Machine
    tables = None   # StateTableMachine

    def __init__(self, specifications, debug=None, debug_flags=7):
        if not isinstance(specifications, list):
            raise Errors.InvalidScanner("Scanner definition is not a list")

        nfa = Machines.Machine()
        default_initial_state = nfa.new_initial_state('')
        token_number = 1

        for spec in specifications:
            if isinstance(spec, State):
                user_initial_state = nfa.new_initial_state(spec.name)
                for token in spec.tokens:
                    self.add_token_to_machine(
                        nfa, user_initial_state, token, token_number)
                    token_number += 1
            elif isinstance(spec, tuple):
                self.add_token_to_machine(
                    nfa, default_initial_state, spec, token_number)
                token_number += 1
            else:
                raise Errors.InvalidToken(
                    token_number,
                    "Expected a token definition (tuple) or State instance")

        if debug and (debug_flags & 1):
            debug.write("\n============= NFA ===========\n")
            nfa.dump(debug)

        dfa = DFA.nfa_to_dfa(nfa, debug=(debug_flags & 3) == 3 and debug)

        if debug and (debug_flags & 2):
            debug.write("\n============= DFA ===========\n")
            dfa.dump(debug)

        self.machine = dfa

    def add_token_to_machine(self, machine, initial_state, token_spec, token_number):
        try:
            (re, action_spec) = self.parse_token_definition(token_spec)
            if isinstance(action_spec, Actions.Action):
                action = action_spec
            else:
                try:
                    action_spec.__call__
                except AttributeError:
                    action = Actions.Return(action_spec)
                else:
                    action = Actions.Call(action_spec)
            final_state = machine.new_state()
            re.build_machine(machine, initial_state, final_state,
                             match_bol=1, nocase=0)
            final_state.set_action(action, priority=-token_number)
        except Errors.PlexError as e:
            raise e.__class__("Token number %d: %s" % (token_number, e))

    def parse_token_definition(self, token_spec):
        if not isinstance(token_spec, tuple):
            raise Errors.InvalidToken("Token definition is not a tuple")
        if len(token_spec) != 2:
            raise Errors.InvalidToken("Wrong number of items in token definition")

        pattern, action = token_spec
        if not isinstance(pattern, Regexps.RE):
            raise Errors.InvalidToken("Pattern is not an RE instance")
        return (pattern, action)

    def get_initial_state(self, name):
        return self.machine.get_initial_state(name)