import time

from .exceptions import EOF, TIMEOUT

class Expecter(object):
    def __init__(self, spawn, searcher, searchwindowsize=-1):
        self.spawn = spawn
        self.searcher = searcher
        if searchwindowsize == -1:
            searchwindowsize = spawn.searchwindowsize
        self.searchwindowsize = searchwindowsize
    
    def new_data(self, data):
        spawn = self.spawn
        searcher = self.searcher

        incoming = spawn.buffer + data
        freshlen = len(data)
        index = searcher.search(incoming, freshlen, self.searchwindowsize)
        if index >= 0:
            spawn.buffer = incoming[searcher.end:]
            spawn.before = incoming[: searcher.start]
            spawn.after = incoming[searcher.start: searcher.end]
            spawn.match = searcher.match
            spawn.match_index = index
            # Found a match
            return index
    
        spawn.buffer = incoming
    
    def eof(self, err=None):
        spawn = self.spawn
        from . import EOF

        spawn.before = spawn.buffer
        spawn.buffer = spawn.string_type()
        spawn.after = EOF
        index = self.searcher.eof_index
        if index >= 0:
            spawn.match = EOF
            spawn.match_index = index
            return index
        else:
            spawn.match = None
            spawn.match_index = None
            msg = str(spawn)
            if err is not None:
                msg = str(err) + '\n' + msg
            raise EOF(msg)
    
    def timeout(self, err=None):
        spawn = self.spawn
        from . import TIMEOUT

        spawn.before = spawn.buffer
        spawn.after = TIMEOUT
        index = self.searcher.timeout_index
        if index >= 0:
            spawn.match = TIMEOUT
            spawn.match_index = index
            return index
        else:
            spawn.match = None
            spawn.match_index = None
            msg = str(spawn)
            if err is not None:
                msg = str(err) + '\n' + msg
            raise TIMEOUT(msg)

    def errored(self):
        spawn = self.spawn
        spawn.before = spawn.buffer
        spawn.after = None
        spawn.match = None
        spawn.match_index = None
    
    def expect_loop(self, timeout=-1):
        """Blocking expect"""
        spawn = self.spawn
        from . import EOF, TIMEOUT

        if timeout is not None:
            end_time = time.time() + timeout

        try:
            incoming = spawn.buffer
            spawn.buffer = spawn.string_type()  # Treat buffer as new data
            while True:
                idx = self.new_data(incoming)
                # Keep reading until exception or return.
                if idx is not None:
                    return idx
                # No match at this point
                if (timeout is not None) and (timeout < 0):
                    return self.timeout()
                # Still have time left, so read more data
                incoming = spawn.read_nonblocking(spawn.maxread, timeout)
                time.sleep(0.0001)
                if timeout is not None:
                    timeout = end_time - time.time()
        except EOF as e:
            return self.eof(e)
        except TIMEOUT as e:
            return self.timeout(e)
        except:
            self.errored()
            raise


class searcher_string(object):
    '''This is a plain string search helper for the spawn.expect_any() method.
    This helper class is for speed. For more powerful regex patterns
    see the helper class, searcher_re.

    Attributes:

        eof_index     - index of EOF, or -1
        timeout_index - index of TIMEOUT, or -1

    After a successful match by the search() method the following attributes
    are available:

        start - index into the buffer, first byte of match
        end   - index into the buffer, first byte after match
        match - the matching string itself

    '''

    def __init__(self, strings):
        '''This creates an instance of searcher_string. This argument 'strings'
        may be a list; a sequence of strings; or the EOF or TIMEOUT types. '''

        self.eof_index = -1
        self.timeout_index = -1
        self._strings = []
        for n, s in enumerate(strings):
            if s is EOF:
                self.eof_index = n
                continue
            if s is TIMEOUT:
                self.timeout_index = n
                continue
            self._strings.append((n, s))

    def __str__(self):
        '''This returns a human-readable string that represents the state of
        the object.'''

        ss = [(ns[0], '    %d: "%s"' % ns) for ns in self._strings]
        ss.append((-1, 'searcher_string:'))
        if self.eof_index >= 0:
            ss.append((self.eof_index, '    %d: EOF' % self.eof_index))
        if self.timeout_index >= 0:
            ss.append((self.timeout_index,
                '    %d: TIMEOUT' % self.timeout_index))
        ss.sort()
        ss = list(zip(*ss))[1]
        return '\n'.join(ss)

    def search(self, buffer, freshlen, searchwindowsize=None):
        '''This searches 'buffer' for the first occurence of one of the search
        strings.  'freshlen' must indicate the number of bytes at the end of
        'buffer' which have not been searched before. It helps to avoid
        searching the same, possibly big, buffer over and over again.

        See class spawn for the 'searchwindowsize' argument.

        If there is a match this returns the index of that string, and sets
        'start', 'end' and 'match'. Otherwise, this returns -1. '''

        first_match = None

        # 'freshlen' helps a lot here. Further optimizations could
        # possibly include:
        #
        # using something like the Boyer-Moore Fast String Searching
        # Algorithm; pre-compiling the search through a list of
        # strings into something that can scan the input once to
        # search for all N strings; realize that if we search for
        # ['bar', 'baz'] and the input is '...foo' we need not bother
        # rescanning until we've read three more bytes.
        #
        # Sadly, I don't know enough about this interesting topic. /grahn

        for index, s in self._strings:
            if searchwindowsize is None:
                # the match, if any, can only be in the fresh data,
                # or at the very end of the old data
                offset = -(freshlen + len(s))
            else:
                # better obey searchwindowsize
                offset = -searchwindowsize
            n = buffer.find(s, offset)
            if n >= 0 and (first_match is None or n < first_match):
                first_match = n
                best_index, best_match = index, s
        if first_match is None:
            return -1
        self.match = best_match
        self.start = first_match
        self.end = self.start + len(self.match)
        return best_index


class searcher_re(object):
    '''This is regular expression string search helper for the
    spawn.expect_any() method. This helper class is for powerful
    pattern matching. For speed, see the helper class, searcher_string.

    Attributes:

        eof_index     - index of EOF, or -1
        timeout_index - index of TIMEOUT, or -1

    After a successful match by the search() method the following attributes
    are available:

        start - index into the buffer, first byte of match
        end   - index into the buffer, first byte after match
        match - the re.match object returned by a succesful re.search

    '''

    def __init__(self, patterns):
        '''This creates an instance that searches for 'patterns' Where
        'patterns' may be a list or other sequence of compiled regular
        expressions, or the EOF or TIMEOUT types.'''

        self.eof_index = -1
        self.timeout_index = -1
        self._searches = []
        for n, s in zip(list(range(len(patterns))), patterns):
            if s is EOF:
                self.eof_index = n
                continue
            if s is TIMEOUT:
                self.timeout_index = n
                continue
            self._searches.append((n, s))

    def __str__(self):
        '''This returns a human-readable string that represents the state of
        the object.'''

        #ss = [(n, '    %d: re.compile("%s")' %
        #    (n, repr(s.pattern))) for n, s in self._searches]
        ss = list()
        for n, s in self._searches:
            try:
                ss.append((n, '    %d: re.compile("%s")' % (n, s.pattern)))
            except UnicodeEncodeError:
                # for test cases that display __str__ of searches, dont throw
                # another exception just because stdout is ascii-only, using
                # repr()
                ss.append((n, '    %d: re.compile(%r)' % (n, s.pattern)))
        ss.append((-1, 'searcher_re:'))
        if self.eof_index >= 0:
            ss.append((self.eof_index, '    %d: EOF' % self.eof_index))
        if self.timeout_index >= 0:
            ss.append((self.timeout_index, '    %d: TIMEOUT' %
                self.timeout_index))
        ss.sort()
        ss = list(zip(*ss))[1]
        return '\n'.join(ss)

    def search(self, buffer, freshlen, searchwindowsize=None):
        '''This searches 'buffer' for the first occurence of one of the regular
        expressions. 'freshlen' must indicate the number of bytes at the end of
        'buffer' which have not been searched before.

        See class spawn for the 'searchwindowsize' argument.

        If there is a match this returns the index of that string, and sets
        'start', 'end' and 'match'. Otherwise, returns -1.'''

        first_match = None
        # 'freshlen' doesn't help here -- we cannot predict the
        # length of a match, and the re module provides no help.
        if searchwindowsize is None:
            searchstart = 0
        else:
            searchstart = max(0, len(buffer) - searchwindowsize)
        for index, s in self._searches:
            match = s.search(buffer, searchstart)
            if match is None:
                continue
            n = match.start()
            if first_match is None or n < first_match:
                first_match = n
                the_match = match
                best_index = index
        if first_match is None:
            return -1
        self.start = first_match
        self.match = the_match
        self.end = self.match.end()
        return best_index