#!/usr/bin/python3

from collections import namedtuple

from .lexer import lexer, operators

# Stores a token's type and value, and optionally the position of the first
# character in the lexed stream.
class Token(namedtuple('Token', ['type', 'val', 'pos', 'rule', 'part', 'stop'])):
    __slots__ = ()

    # Custom constructor to support default parameters.
    def __new__(cls, type, val='', pos=None, rule=None, part=None, stop=False):
        return super(Token, cls).__new__(cls, type, val, pos, rule, part, stop)

    def __str__(self):
        return self.val

    # Only consider type and value when comparing tokens. There is probably a
    # cleaner way of doing this.
    __eq__ = lambda x, y: x[0] == y[0] and x[1] == y[1]
    __ne__ = lambda x, y: x[0] != y[0] or x[1] != y[1]
    __lt__ = lambda x, y: tuple.__lt__(x[0:2], y[0:2])
    __le__ = lambda x, y: tuple.__le__(x[0:2], y[0:2])
    __ge__ = lambda x, y: tuple.__ge__(x[0:2], y[0:2])
    __gt__ = lambda x, y: tuple.__gt__(x[0:2], y[0:2])

    # Only hash token's value (we don't care about position, and types are
    # determined by values).
    def __hash__(self):
        return hash(self[1])

# Return a new Token, possibly modifying some fields.
def clone_token(token, val=None, pos=None, rule=None, part=None):
    return Token(token.type,
                 token.val if val is None else val,
                 token.pos if pos is None else pos,
                 token.rule if rule is None else rule,
                 token.part if part is None else part,
                 token.stop)

# Return a list of tokens in [text].
def tokenize(text):
    lexer.input(text)
    return [Token(t.type, t.value, t.lexpos) for t in lexer]

# Return a one-line string representation of [tokens].
def stringify(tokens):
    def token_str(t):
        if t.type in ('PERIOD', 'COMMA'):
            return str(t) + ' '
        if t.type in operators.values():
            return ' ' + str(t) + ' '
        return str(t)
    return ''.join(map(token_str, tokens))

# Yield the sequence of rules in [code].
def split(code):
    tokens = tokenize(code)
    start = 0
    for idx, token in enumerate(tokens):
        if token.type == 'PERIOD' and idx - start > 1:
            yield stringify(tokens[start:idx])
            start = idx + 1

# Return a list of lines in [code] and a list of rule ranges.
def decompose(code):
    lines = []
    rules = []

    rule_start = 0     # lowest line number in the current rule
    line = []          # tokens in the current line
    break_line = True  # for each comma, go to a new line
    parens = []        # stack of currently open parens/brackets/braces

    for t in tokenize(code) + [Token('EOF')]:
        # Always break the line on a semicolon, even inside parens.
        if t.type == 'SEMI':
            if line:
                lines.append(tuple(line))
                line = []
            lines.append((t,))
            continue

        # Break the line on these tokens if we are not inside parens. Don't
        # append the final token unless it is the :- operator.
        if break_line and t.type in ('PERIOD', 'FROM', 'COMMA', 'EOF'):
            # Only append :- at the end of the line, ignore commas and periods.
            if t.type == 'FROM':
                line.append(t)

            # Append nonempty lines to the output list.
            if line:
                lines.append(tuple(line))
                line = []

            # Commit a new rule if it contains some lines.
            if t.type in ('PERIOD', 'EOF') and rule_start < len(lines):
                rules.append((rule_start, len(lines)))
                rule_start = len(lines)
            continue

        # Handle parens.
        if t.type == 'LPAREN':
            # Disallow breaking lines inside "name( )" (e.g. member(X, L)) but
            # not other ( ).
            if line and line[-1].type == 'NAME':
                parens.append('paren')
                break_line = False
            else:
                parens.append('ignore')
        elif t.type in ('LBRACKET', 'LBRACE'):
            # Disallow breaking lines inside "[ ]" and "{ }".
            parens.append('paren')
            break_line = False
        elif parens:
            if t.type in ('RPAREN', 'RBRACE', 'RBRACKET'):
                parens.pop()
            break_line = 'paren' not in parens

        # Append this token to the current line.
        line.append(t)

    return lines, rules

# Format a list of [lines] according to [rules] (as returned by decompose).
def compose(lines, rules):
    code = ''
    for start, end in rules:
        for i in range(start, end):
            line = lines[i]
            if i > start:
                code += '  '
            code += stringify(line)
            if i == end-1:
                code += '.\n'
            elif i == start:
                code += '\n'
            else:
                if line and line[-1].type != 'SEMI' and lines[i+1][-1].type != 'SEMI':
                    code += ','
                code += '\n'
    return code.strip()

# Rename variables in [tokens] to A0, A1, A2,… in order of appearance.
def rename_vars(tokens, names=None):
    if names is None:
        names = {}
    next_id = len(names)

    # Return a new list.
    tokens = list(tokens)
    for i in range(len(tokens)):
        if tokens[i].type == 'PERIOD':
            names.clear()
            next_id = 0
        elif tokens[i] == Token('VARIABLE', '_'):
            tokens[i] = Token('VARIABLE', 'A{}'.format(next_id))
            next_id += 1
        elif tokens[i].type == 'VARIABLE':
            cur_name = tokens[i].val
            if cur_name not in names:
                names[cur_name] = 'A{}'.format(next_id)
                next_id += 1
            tokens[i] = Token('VARIABLE', names[cur_name])
    return tokens

# Helper function to remove trailing punctuation from lines and rename
# variables to A1,A2,A3,… (potentially using [var_names]). Return a tuple.
def normalized(line, var_names=None):
    # Remove trailing punctuation.
    i = len(line)
    while i > 0:
        if line[i-1].type not in ('COMMA', 'PERIOD', 'SEMI'):
            break
        i -= 1
    return tuple(rename_vars(line[:i], var_names))

# Map "formal" variable names in the edit a→b to actual names in code [tokens].
# The set [variables] contains all variable names in the current scope. These
# are used in cases such as [A]→[A,B], where the edit introduces new variables.
# Return a new version of b with actual variable names.
def map_vars(a, b, tokens, variables):
    mapping = {}
    new_index = 0
    for i in range(len(a)):
        if tokens[i].type == 'VARIABLE':
            formal_name = a[i].val
            if tokens[i].val != '_':
                actual_name = tokens[i].val
            else:
                actual_name = 'New'+str(new_index)
                new_index += 1
            mapping[formal_name] = actual_name

    remaining_formal = [t.val for t in b if t.type == 'VARIABLE' and t.val not in mapping.keys()]
    remaining_actual = [var for var in variables if var not in mapping.values()]

    while len(remaining_actual) < len(remaining_formal):
        remaining_actual.append('New'+str(new_index))
        new_index += 1

    for i, formal_name in enumerate(remaining_formal):
        mapping[formal_name] = remaining_actual[i]

    return [t if t.type != 'VARIABLE' else clone_token(t, val=mapping[t.val]) for t in b]

# Basic sanity check.
if __name__ == '__main__':
    code = 'dup([H|T], [H1|T1]) :- dup(T1, T2). '
    lines, rules = decompose(code)
    print(compose(lines, rules))

    var_names = {}
    before = rename_vars(tokenize("dup([A0|A1], [A2|A3])"), var_names)
    after = rename_vars(tokenize("dup([A0|A1], [A5, A4|A3])"), var_names)

    line = lines[0]
    variables = [t.val for t in tokenize(code) if t.type == 'VARIABLE']
    mapped = map_vars(before, after, line, variables)
    print(mapped)