#!/usr/bin/env python
# -*- coding: utf8 -*-

"""
    This file as a hole is published under the MIT license:

    ✂----------------------------------------------------------------------

    The MIT License (MIT)

    Copyright (c) 2013-2016 Ned Batchelder, Stephan Hennig, Werner Lemberg,
    Guenter Milde, Sander van Geloven, Georg Pfeiffer, Gisbert W. Selke,
    Tobias Wendorf, Lukas Sommer.

    Permission is hereby granted, free of charge, to any person obtaining
    a copy of this software and associated documentation files (the
    "Software"), to deal in the Software without restriction, including
    without limitation the rights to use, copy, modify, merge, publish,
    distribute, sublicense, and/or sell copies of the Software, and to
    permit persons to whom the Software is furnished to do so, subject to
    the following conditions:

    The above copyright notice and this permission notice shall be
    included in all copies or substantial portions of the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
    EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
    MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
    NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
    LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
    OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
    WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

    ✂----------------------------------------------------------------------

    This file contains public domain code from Ned Batchelder:
    “Ned Batchelder, July 2007. This Python code is in the public domain.”
    See the Hyphenator class for details. Modifications from Lukas
    Sommer (2016), published under the MIT license.

    It contains patterns that are derived from the Trennmuster project,
    that publishes its files under the MIT license.
    Copyright (c) 2013-2014 Stephan Hennig, Werner Lemberg, Guenter Milde,
    Sander van Geloven, Georg Pfeiffer, Gisbert W. Selke, Tobias Wendorf.
    See the GermanLigatureSupport class for details.

    The rest of the code is from Lukas Sommer (2016), published under
    the MIT license.
"""

import re
import scribus

# This file is in UTF8. It uses also really quite some characters outside
# ASCII and even outside BMP. As sometimes the encoding makes problems
# (Scribus script console for example), we assert here that the encoding
# is interpreted correctly
if ord("a") != 97:
    raise RuntimeError("Source code encoding problem 01.")

if len("a") != 1:
    raise RuntimeError("Source code encoding problem 02.")

if ord(u"\xE4") != 0xE4:
    raise RuntimeError("Source code encoding problem 03.")

if len(u"\xE4") != 1:
    raise RuntimeError("Source code encoding problem 04.")

if ord(u"\u00E4") != 0xE4:
    raise RuntimeError("Source code encoding problem 05.")

if len(u"\u00E4") != 1:
    raise RuntimeError("Source code encoding problem 06.")

if ord(u"\U000000E4") != 0xE4:
    raise RuntimeError("Source code encoding problem 07.")

if len(u"\U000000E4") != 1:
    raise RuntimeError("Source code encoding problem 08.")

if ord(u"ä") != 0xE4:
    raise RuntimeError("Source code encoding problem 09.")

if len(u"ä") != 1:
    raise RuntimeError("Source code encoding problem 10.")

if ord(u"\u1E9E") != 0x1E9E:
    raise RuntimeError("Source code encoding problem 11.")

if len(u"\u1E9E") != 1:
    raise RuntimeError("Source code encoding problem 12.")

if ord(u"\U00001E9E") != 0x1E9E:
    raise RuntimeError("Source code encoding problem 13.")

if len(u"\U00001E9E") != 1:
    raise RuntimeError("Source code encoding problem 14.")

if ord(u"ẞ") != 0x1E9E:
    raise RuntimeError("Source code encoding problem 15.")

if len(u"ẞ") != 1:
    raise RuntimeError("Source code encoding problem 16.")

if ord(u"\U0001F404"[0]) != 0x1F404 and ord(u"\U0001F404"[0]) != 0xD83D:
    raise RuntimeError("Source code encoding problem 17.")

if len(u"\U0001F404") != 1 and len(u"\U0001F404") != 2:
    raise RuntimeError("Source code encoding problem 18.")

if ord(u"🐄"[0]) != 0x1F404 and ord(u"🐄"[0]) != 0xD83D:
    raise RuntimeError("Source code encoding problem 19.")

if len(u"🐄") != 1 and len(u"🐄") != 2:
    raise RuntimeError("Source code encoding problem 20.")


__version__ = '0.1'


class Hyphenator:
    """An implementation of Frank Liams hyphenation algorithm in
    Python.

    Original code by Ned Batchelder from
    http://nedbatchelder.com/code/modules/hyphenate.html
    Original license:
    “Ned Batchelder, July 2007. This Python code is in the public domain.”

    Differently as the original implementation, this implementation
    adds Unicode support. On the other hand, some other features
    of the original implementation are not available.
    """
    def __init__(self, patterns):
        """Precondition: “patterns” is of type “unicode”.
        Postcondition: Constructs a hyphenator object for the
        given patterns.
        """
        if type(patterns) is not str:
            raise TypeError("The “patterns” parameter must be of type "
                            "“unicode”, but it isn’t.")
        self.tree = {}
        for pattern in patterns.split():
            self._insert_pattern(pattern)

    #
    def _insert_pattern(self, pattern):
        # Convert the a pattern like 'a1bc3d4' into a string of chars 'abcd'
        # and a list of points [ 0, 1, 0, 3, 4 ].
        chars = re.sub(u'[0-9]', u'', pattern)
        points = [int(d or 0) for d in re.split(u"[^0-9]", pattern)]
        # Insert the pattern into the tree.  Each character finds a dict
        # another level down in the tree, and leaf nodes have the list of
        # points.
        t = self.tree
        for c in chars:
            if c not in t:
                t[c] = {}
            t = t[c]
        t[None] = points

    def hyphenate_word(self, word):
        """ Precondition: “word” is of type “unicode”.
            Postcondition: Given a word, returns a list of pieces of
            type “unicode”, broken at the possible
            hyphenation points. Note that patterns are typically
            lower-case-only, so you have to convert “word” to
            lower-case before calling this function (otherwise
            the word might get wrong hyphenation because the
            upper-case-letters are not recognized).
        """
        if type(word) is not str:
            raise TypeError("The word must have the data type “unicode”, "
                            "but it doesn’t.")
        else:
            work = '.' + word.lower() + '.'
            points = [0] * (len(work) + 1)
            for i in range(len(work)):
                t = self.tree
                for c in work[i:]:
                    if c in t:
                        t = t[c]
                        if None in t:
                            p = t[None]
                            for j in range(len(p)):
                                points[i + j] = max(points[i + j], p[j])
                    else:
                        break
            # No hyphens in the first two chars or the last two.
            # But we comment this code out because it is not
            # necessary for ligature setting.
            # points[1] = points[2] = points[-2] = points[-3] = 0
            # But it is necessary to do at least this, just to avoid empty
            # pieces. Otherwise, the pattern “von1” would lead for the
            # word “von” to the result “[u"von", u""]” which is not intended.
            points[1] = 0
            points[-2] = 0
        # Examine the points to build the pieces list.
        pieces = ['']
        for c, p in zip(word, points[2:]):
            pieces[-1] += c
            if p % 2:
                pieces.append('')
        return pieces


class GermanLigatureSupport:
    """Provides support for german ligature setting. The pattern is derived
    from the word list of the Trennmuster project. Also get_word_characters()
    is derived from the Trennmuster project. For more information about
    the Trennmuster project: http://projekte.dante.de/Trennmuster

    License of the Trennmuster project:

    The MIT License (MIT)

    Copyright (c) 2013-2014 Stephan Hennig, Werner Lemberg, Guenter Milde,
    Sander van Geloven, Georg Pfeiffer, Gisbert W. Selke, Tobias Wendorf

    Permission is hereby granted, free of charge, to any person obtaining
    a copy of this software and associated documentation files (the
    "Software"), to deal in the Software without restriction, including
    without limitation the rights to use, copy, modify, merge, publish,
    distribute, sublicense, and/or sell copies of the Software, and to
    permit persons to whom the Software is furnished to do so, subject to
    the following conditions:

    The above copyright notice and this permission notice shall be
    included in all copies or substantial portions of the Software.

    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
    EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
    MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
    NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
    LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
    OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
    WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE."""

    def __init__(self):
        return

    def simple_case_fold_for_lookup(self, my_unicode_string):
        """Before applying the hyphenation algorithm to a string, some
        “folding” has to be done. The german word “auffallend” has the
        ligature ["auf", "fallend"]. If it is the first
        word of a sentence, than it is written with capital letter
         “Auffallend”. The “case” (the
        fact that a letter is a small letter or a capital
        letter) does not matter. You can read
        more about this topic in the Unicode standard:
        3.13 Default Case Algorithms → Caseless matching
        The pattern uses lower case. So we have to map all
        upper case letters in a string to
        lower case letters before applying the
        hyphenation algorithm. Unicode describes
        “full case folding” and “simple case folding”.
        “full case folding” converts for example
        both lowercase ß and uppercase ẞ to ss: it
        maps one original character to two
        substitution characters. “simple case folding”
        leaves lowercase ß as is, and converts
        uppercase ẞ to lowercase ß. I think the
        only relevant application of this “one-to-many
        mapping” for the german language is the sharp
        s. As the pattern is generated for
        both (normal german with ß and swiss
        german without ß but with ss), this “one-to-many
        folding” is not necessary. A simple
        toLowercase() with additional mapping
        of the lowercase long s (ſ) to the lowercase
        normal s should be enough.

        Preconditions: my_unicode_string is of type “unicode”.
        Postconditions: Returns a “unicode” value
        that corresponds to my_unicode_string, but has
        mapped uppercase characters to lowercase
        characters – or at least these that are important
        for our patterns. The mapping is guaranteed
        to be a one-to-one mapping of Unicode Scalar
        Values. That means that one Unicode Scalar
        Value is replaced by exactly one other
        Unicode Scalar Value. So the count of
        Unicode Scalar Values of the return value is equal
        to the count of Unicode Scalar Values of
        my_unicode_string. (Note that the count of code
        units might change between input and output
        if you do not use UTF32.)
        WARNING This function must be kept
        in synch with isWordCharacter().
        """
        if type(my_unicode_string) is not str:
            raise TypeError("The “my_unicode_string” parameter must be of "
                            "type “unicode”, but it isn’t.")
        return my_unicode_string.lower().replace("ſ", "s")

    """
    The following pattern has been generated using the Trennmuster project:
    http://projekte.dante.de/Trennmuster/
    This project provides a quite long list of german words with its hyphenation
    points and its morpheme boundaries, prefix boundaries, suffix boundaries…
    This can be used to generate ligature patterns.

    The current pattern is generated from the Trennmuster project at the
    following state: Sat, 10 Sep 2016 09:52:30 +0000
    http://repo.or.cz/wortliste.git/commit/c21d2f93e9ece64e47de9fc59e9115a0540c89a0

    Instructions for Linux shell:

    1.) Create a work directory
    > mkdir workdir
    > cd workdir

    2.) Clone the git repository of Trennmuster
    Preconditions: “git” is available.
    > git clone --depth 1 git://repo.or.cz/wortliste.git
    > git clone git://repo.or.cz/wortliste.git
    > cd wortliste
    > git config core.DeltaBaseCacheLimit 200m
    > cd ..
    For details, see http://projekte.dante.de/Trennmuster/RepoHaupt (german).

    3.) Create a directory for the data
    > mkdir datadir
    > cd datadir

    4.) Combine both, “wortliste” and “pre-1901” in one single file
    > cat ../wortliste/wortliste ../wortliste/pre-1901 > full-list.utf8
    The other available word lists currently do not provide information
    about morpheme boundaries, so it does not make sense to use them.

    5.) Preprocess it
    Preconditions: “python 2.7” is available.
    > python ../wortliste/skripte/python/ligatures/prepare-ligature-wordlist.py \
       full-list.utf8 patgen-input.utf8 preprocess-log.utf8

    6.) Convert to ISO 8859-15
    Preconditions: “iconv” is available.
    > iconv -f UTF-8 -t ISO_8859-15 patgen-input.utf8 > patgen-input.iso-8859-15
    Patgen only accepts single-byte encodings, and ISO 8859-15 is an encoding
    that covers all necessary characters and is the one that is also used
    by “german.tr” in the Trennmuster project.

    7.) Generate the pattern
    > sh ../wortliste/skripte/make-full-pattern.sh patgen-input.iso-8859-15 \
      ../wortliste/daten/german.tr
    This takes about 20 minutes.

    8.) Convert the pattern to UTF8
    > iconv -f ISO_8859-15 -t UTF-8 pattern.8 > ligature-pattern.utf8.txt
    """
    __germanLigaturePatterns = (u"""
.ab1a
.ab3b
.abel2
.ab3l
.ab1or
.abs2
.ab5test
.ab3u
.ach2
.ack2
.ada4
.ade4
.ad2r
.af2
.aft2
.ag2a
.agen2
.ag4r
.ag2u
.akro4
.akt2a
.al4
.ali4
.alt3s
.alz2
.am4
.amt2s1
.an1
.ana1c
.and2
.an3dri
.ang4
.angs2
.angst3
.ank2
.an3s
.ans2p
.an3the
.anti5ge
.an3z2
.aos4
.ap1p
.ap3po
.ar4
.ark2
.arm3ac
.art3ei
.art5erh
.arto2
.as4
.asbe2
.at4
.au2
.au4f3
.au4sc
.au4sp
.aust2
.aus5tes
.au4v
.äo2
.ärme4
.ba4
.bak4
.baus4
.be3erb
.bege4
.bel2a
.be3lab
.bel4f
.ben4
.bens2
.ber4
.berg3a
.berg5eb
.berg3r
.be7ringe
.bes4
.be2ve
.bi3na
.bio3
.bit1a
.bo4
.bor4
.bu4
.ce2
.ch4
.che4
.dab2
.da1l
.dar3i
.darm1
.datei3
.de4b
.de1i
.de4los
.de1mi
.den2
.de1o
.de2pa
.de3ran
.der4en
.der2n
.der4wi
.de1s
.de3sk
.de1te
.di3el
.dien4e
.dien6st
.dienst7ad
.dio2
.do2
.dorf1
.dro4
.dy2
.dys3
.eb2
.eben3d
.ed4
.efer2
.eg4
.ehe3
.eif2
.ei4gen
.eins4
.ei2s
.ei3sch
.eis3s
.ei4s3t
.ei2t2
.ei1z
.el6
.elb3s
.elch3t
.ele4
.els2
.em2
.emm2
.em4s
.en2d
.en3dem
.end3er
.en4d1r
.end3s
.en2f
.en2g
.enge2
.enn2
.en2q
.en2r
.en2s
.en2t1
.ent3io
.ent3r
.erbt2
.er4dar
.er4din
.er1e
.erf2
.er3g
.er6hart
.er1i
.er4lac
.er8lang.
.ern2
.er3neu
.er8stein
.er1t2
.er4z3el
.es4
.est2
.est6e
.eß1
.et4
.ett4
.eu4g
.eu1tr
.ex1te
.fa4
.fe4
.fel4
.fer4
.fern3t
.fi4
.fie4
.fil4
.fin4
.fon2
.fra2
.fus6
.ga4
.gd2
.ge1bu
.gege2
.ge6het.
.ge1hu
.gel2
.geld1
.ge3lu
.ge3me
.ge3nar
.gen2e
.ge3nec
.ge3nei
.gen4fe
.gen2o
.ge3nor
.gen2r
.gen3te
.ge3nun
.ge1r4
.ge3re
.ge7riere
.ges4
.ge5sint
.ge3u
.gie4
.gin2
.go2
.ha4
.haf2
.haft5s
.hal4
.han4
.hau2
.hau4s
.haut1
.he4
.hef2
.hel2
.hen2
.her3an
.her6ber
.her6bra
.her5inn
.her6man
.her6rin
.her4zi
.her7zog.
.hi4
.hin3u
.hip3s
.ho4
.hof1e
.hom3b
.ide2
.ig2
.ih2
.il1
.im2a4
.im4k
.imm4
.im1pe
.in3dem
.in3des
.indi5ge
.in3e
.in1g2
.inge2
.in4geb
.ink2
.inn2e
.in4sel
.in3ser
.in3sk
.in1z
.is2
.isch2
.is4f
.it2
.iv2
.ka4
.kal2
.kal4k
.kal4o
.kan4
.kat2
.kat3io
.kat4m
.ke4
.kel2
.ken2
.ker4
.ki4
.klang3
.ko4g
.ko1i
.ko4k
.kom1m
.kopf1
.ko4s
.kose3
.kro2
.ku4b
.kus2
.la4
.lan2
.lau4s
.lär2
.le4
.lei4
.leich4
.len2
.ler2
.li4
.licht7ers
.lin2
.lit4
.lo4
.log3in
.lor2
.los3s2
.lub2
.lun4
.lut2
.ly4
.ma4
.mal4e
.man2
.mas4
.me4
.mee4
.mel2
.men2
.mer4
.mes4sp
.mi4
.min2
.mo4
.mor4
.ms4
.mund3a
.mus2
.na2
.nach3s
.nat2
.näs3c
.ne4
.nea4
.nen2
.ner2
.nicht5e
.nie4
.nik2
.nin2
.no4
.nus2
.nuss1
.ob1a
.obe4
.oben3
.ob1l
.och2
.of2e
.of3fer
.oh4
.ohr3s
.on2k
.or4
.oran2
.ort2
.orts3e
.os2
.ost6alg
.ost3el
.ost5end
.ost3ri
.ot2
.ot3a
.ot4f
.ot4m
.ott4
.ox4
.öd2
.öl3b
.öl1l
.öl1z
.pa2
.par4k
.par4l
.par4m
.pat4
.pel2
.pen2
.per4l
.pf4
.ph2
.pi2
.pier4
.po4
.por4
.ps2
.ra4
.rab2
.raf4
.ran2
.rang3t
.ranzu4
.re1b
.reb3s
.re3cha
.rei4
.rein3t
.reis6ei
.rem4
.re4mag
.re1mi
.ren2
.re1q
.res2
.re2sc
.re3tri
.ri4
.rie4
.rif4
.rik4
.rin4
.ro4
.roll4e
.rom2
.rom4a
.ror2
.ruhr1
.run2
.sa4
.sab4
.sal4
.san4
.sch4
.schen4
.se4
.sen2
.ser4
.sie4
.sig2
.sim2
.so3ge
.son2
.st4
.stan4
.ste2
.sten2
.ster4
.stie6
.ta4
.tab2
.tage4s3
.tal3la
.tan4
.tank3l
.tar4
.tat3ta
.tat1u
.te4
.tei2
.tele3b
.tem4
.ten2
.ter4
.tes2
.test3r
.tex2
.ti4
.til2
.to4
.tode4
.ton3s
.tör3c
.tra6
.tre4
.trie4
.tro2
.ts4
.tum4
.tur4
.ty2
.ub2
.uer2
.ufer1
.uh2
.ul2
.ull2
.um1
.un1a
.un1d
.un1g
.un1k
.un1n
.un3s
.un1z
.ur1
.ur2an
.ur3b
.ur2i
.urin3t
.uro1
.ur3om
.urs2
.ur3t
.ur3z
.us2
.ut2
.va2
.val4
.vel2
.ven2
.ver3be
.ver3d
.ver3g
.ver3t
.ver5v
.vil2
.walt2
.weg5s
.wei2
.wen4
.wer4
.wert7her
.wider7tes
.wie3f
.wil2
.wo2h
.wort5en
.yo2
.zahn3
.ze2
.zer1n
.ziel3u
.zin4
.zo2
aa2
a1ab
a1ace
aa3do
aal1di
aale3t
aal1t
2a1an
aan1g
2a3aq
2aar
aar3a
aar3b
aar3f
aar3g4
aar3k2
aar3ma
aar3n
aar3r
aar3s
aar3ta
aar3th
aar3tr
aar3z
1aas
aas1t
aat3h
aat3r
aat4s1
2a3au
a1ä
a2b
aba4
2abab
a4b2ak
2abal
ab2am
ab2an
abar4
ab1au
abau4t
a3b1ä
a4bän
ab2äu
ab4bas
ab2c
1abd
2abe.
4a3bec
abe1e
ab1eil
2a4b2e2l
abe3lis
a4ben
1abent
aben1z
2aber
ab1erk
aber2n
ab1er4r
ab1erz
2abes
ab3esse
ab1eß
2a3b2et
a5betr
2abew
1abf
3abg
3a4bh
2abi
4abil
ab1ins
a3b1ir
abi1st
3ab1it
1abk
ab1l
1abla
ab3lag
1ablä
3ablei
a4blen
a4bles
2ablet
2ab2lo
1a4blö
2ablu
1abn
3abo.
ab2of
a3bog
1a4bon
abor3s
abo3se
2abot
2abö
ab1r
abra2
ab3rec
a4bri
2abro
2abrö
1absc
ab3s2i
1ab3s2p
abs2t2
1absta
ab3ste
ab1t2
abte2
1abtei
3abtr
2abu
abu3b
ab1ur3
2abü
1abw
2aby
3ab3z
2ac.
2aca
2acc
2ach.
ach1a
ach3as
ach3au
2achb
ach6bars
2ache
ach1ec
ache3f
ach1eh
ach1ei
ach3erh
ach3erl
ach3erw
2achf
ach1l
ach3lö
2ach1m
ach1n
ach1ob
ach3ö
2ach1r
2achsc
achs4el
6achsens
achs4i
ach3sin
ach4tak
acht3in
ach2t1o
ach4tru
acht6sal
ach1uf
ach3ü
2achv
4ach1w
ach3z
a4ci
4ack.
acke2s
ack2mu
ackmus3
ack2sp
2acl
a2co
2a1cu
a2d
4ad.
4adab
ad2ag
ad1ama
ad1an
3ad3ap
4ad2ar3
ad1au
4ada4v
1adä
ad1c
1add
ad2dis
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    """)

    def patterns(self):
        """Invariant: patterns() is of type “unicode”.
        Invariant: patterns() provides patterns for the hyphenation algorithm.
        These patterns do not break at hyphenation points, but break where
        ligatures have to be suppressed in german texts. Example:
        auffallend → auf fallend
        The patterns are all lower case.
        """
        return GermanLigatureSupport.__germanLigaturePatterns

    def get_word_characters(self):
        """Invariants: Returns a “unicode” value that have to be
        considered as word characters when using the patterns.

        This is the content of the file “german.tr” of the Trennmuster
        project (both capital letters and small letters), adding LATIN
        CAPITAL LETTER SHARP S (ẞ) and LATIN SMALL LETTER LONG S (ſ). So it
        contains all characters that occurred in the original word list from
        which the patterns are generated. (So it is likely
        that is contains more characters than the patterns itself.)

        It contains also at least for the pattern itself (not necessarily
        the hole word list) every character to represent every normalization
        form.

        NOTE There is no special treatment for Unicode normalization forms.

        WARNING This function must be kept in synch with
        simple_case_fold_for_lookup() and also with
        InstructionProvider.get_instructions() which does some Unicode
        normalization.
        """
        return (# from german.tr
                u"aAäÄâÂàÀáÁãÃåÅæÆbBcCçÇdDeEéÉèÈëËêÊfFgGhHiIíÍìÌîÎjJkKlLmMnN"
                u"ñÑoOóÓòÒôÔöÖøØœŒpPqQrRsSšŠßtTuUúÚüÜvVwWxXyYÿŸzZžŽ"
                # U+1E9E LATIN CAPITAL LETTER SHARP S
                u"ẞ"
                # U+017F LATIN SMALL LETTER LONG S
                u"ſ"
                # combing chararacters
                # (normalization support, canonical decompositon)
                u"\u030C\u0302\u0308\u0301\u0300\u030A\u0303\u0327")


class InstructionProvider(GermanLigatureSupport):
    def __init__(self):
        GermanLigatureSupport.__init__(self)
        self._myHyphenator = Hyphenator(self.patterns())

    def get_instructions(self, my_word):
        """ Get instructions for a single german word “my_word”.
        Precondition: my_word is of type “unicode”.
        Postcondition: Returns a list with as many elements as my_word has
        elements. Each element is either True, False or None. True means
        that at this index position, a ZWNJ has to be introduced, making
        all characters starting from this index position shifting to the
        right. False means that at this index there is a ZWNJ and this
        ZWNJ has to be removed. None means that nothing has to be done.
        Of course, the list might be empty if my_word is empty. my_word
        is supposed to contain a single word, and not various words with
        whitespace. This function handles correctly the soft hyphen
        U+00AD and the following characters with canonical decomposition:
        šâäéóöü
        :rtype: list
        """
        if type(my_word) is not str:
            raise TypeError("myWord must be of type “unicode”, but it isn’t.")
        stripped_word = u""
        stripped_word_index = []
        folded_word = self.simple_case_fold_for_lookup(my_word)
        # Handle normalization…
        #
        # The string is yet folded, so only small letters need to be
        # handled. We substitute the decomposed form by the composed
        # form (that is used in the pattern). To avoid a different
        # character count, we introduce a soft hyphen. This is okay,
        # because the soft hyphen will be ignored later anyway, and
        # ZWNJ are always inserted before normal characters and never
        # before soft hyphens. We handle only the minimum of
        # canonical composition that really occurs in our pattern.
        #
        # WARNING: This must be kept in synch with
        # GermanLigatureSupport.get_word_characters().
        folded_word = folded_word.\
            replace(u"s\u030C", u"š\u00AD").\
            replace(u"a\u0302", u"â\u00AD").\
            replace(u"a\u0308", u"ä\u00AD").\
            replace(u"e\u0301", u"é\u00AD").\
            replace(u"o\u0301", u"ó\u00AD").\
            replace(u"o\u0308", u"ö\u00AD").\
            replace(u"u\u0308", u"ü\u00AD")
        for my_index in range(len(folded_word)):
            my_character = folded_word[my_index]
            # Do not copy SOFT HYPHEN and ZERO WIDTH NON JOINER
            if my_character not in u"\u00AD\u200C":
                stripped_word += my_character
                stripped_word_index.append(my_index)
        hyphenated_word = self._myHyphenator.hyphenate_word(stripped_word)
        # correct_zwnj_positions will contain the indexes of alphabetic
        # characters before which a ZWNJ
        # should be (index relative to my_word).
        correct_zwnj_positions = []
        i = 0
        # For all partial strings but the last one:
        for j in range(len(hyphenated_word) - 1):
            i += len(hyphenated_word[j])
            correct_zwnj_positions.append(stripped_word_index[i])
        # Make a list with one element for each element in my_word.
        # None means “do nothing”, True means “insert a ZWNJ here,
        # and False means “delete this ZWNJ”.
        my_status_list = []
        # First step: remove all ZWNJ, leave the rest without change.
        for my_character in my_word:
            if my_character == u"\u200C":
                my_status_list.append(False)
            else:
                my_status_list.append(None)
        # Second step: cancel the remove where not necessary and
        # add ZWNJ where necessary.
        for i in correct_zwnj_positions:
            if my_status_list[i - 1] == False:
                my_status_list[i - 1] = None
            else:
                my_status_list[i] = True
        return my_status_list


def is_bmp_scalar_only(my_string):
    """In Python 2, the data type “unicode” is supposed to be a unicode
    string and is a sequence of code units. The encoding form might be
    either UTF-16 or UTF-32, depending on the compile time options of the
    python compiler. What does this mean? Example: The character U+0001F404
    COW might be represented either as a sequence of two UTF-16 surrogate
    pairs (string length: 2) or as a single UTF32 code unit
    (string length: 1). If you want to know if you have to deal
    with surrogates or not, you can use this function. It works
    on both UTF-16 and UTF32 sequences.

    Preconditions: my_string is of type “unicode”

    Postconditions: Returns “false” if the string contains at least one code
    unit that is not a Unicode scalar value or is not within the
    Basic Multilingual Plane. Returns “true” otherwise. Quoting from the
    Unicode standard:
    “D76 Unicode scalar value: Any Unicode code point except high-surrogate
    and low-surrogate code points. As a result of this definition, the set of
    Unicode scalar values consists of the ranges 0 to D7FF (16) and E000 (16)
    to 10FFFF (16), inclusive.”
    """
    if type(my_string) is not str:
        raise TypeError(
            "“my_string” must be of type “unicode”, but it isn’t.")
    return re.search(u"[^\u0000-\uD7FF\uE000-\uFFFF]", my_string) is None


def get_affected_text_objects():
    """Preconditions: import scribus
       Postconditions: Returns a list. The list contains the unique object
       identifier string of each affected text frame in the currently active
       document (if any). If there is a set of objects selected, than only
       the text frames within this set are affected. (This might result in
       an empty list if only non-text-frame objects are currently selected.)
       If there is no currently active document, than the list is empty."""
    my_return_value = []
    if scribus.haveDoc() > 0:
        for i in range(scribus.selectionCount()):
            my_object = scribus.getSelectedObject(i)
            if scribus.getObjectType(my_object) == "TextFrame":
                my_return_value.append(my_object)
    return my_return_value


class StoryInterface:
    """An interface to the content of a “story” in scribus. A story is
    the common text content that is shared by various linked text frames.

    Some of Scribus’ script API is about stories, other parts are about
    the text frames, using different indexes which leads sometime to
    unexpected behaviour. This class offers a simple interface to the
    story content. It hasn’t many functions, but it’s a consistent
    interface and avoids unexpected side effects. It works as expected
    independently of the current text selection, but it might change
    the current text selection. It takes care of the necessary encoding
    and decoding when dealing with scribus, while its public interface
    exposes only functions that work with the data type “unicode”.

    Note: Objects in Scribus (Text frames, images, geometric forms…)
    are supposed to have a unique identifier. However, there is bug
    https://bugs.scribus.net/view.php?id=11926 that allows non-unique
    identifiers. The interaction of StoryInterface with this bug
    has not been tested.
    """

    def __init__(self, text_frame_identifier):
        """Precondition: text_frame_identifier has the data type that is
        used for identifiers for scribus objects and is not empty.
        Postcondition: The object is created."""
        # We assume that the data type of the Scribus object identifier
        # is “str”.
        if type(text_frame_identifier) is not str:
            raise TypeError(
                "argument “text_frame_identifier” has wrong data type.")
        if text_frame_identifier == "":
            raise TypeError(
                "argument “text_frame_identifier” might not have "
                "empty content.")
        self.__identifier = text_frame_identifier

    def read_text(self, first, count):
        """Precondition: The object with the unique identifier “textFrame”
        (constructor argument) currently exists in the current document,
        and it refers to a text frame. “first” and “count” are non-negative
        integers. The requested range exists really.
        Postcondition: Returns a value of type “unicode” that contains the
        requested text range (the total number of “count” indexes, starting at
        index “first”). Note that the indexes are the indexes provides by
        scribus. This may not be unicode characters, but UTF16 code units, and
        if you choose half a surrogate pair, scribus will silently add the
        missing half surrogate pair. The indexes does not refer to the actual
        text content of “textFrame”, but to the content of the underlying
        “story”, that means the common text content that is shared between
        this text frame and all linked text frames. Note that this function
        will (likely) change the current text selection of the story."""
        if (type(first) is not int) or (type(count) is not int):
            raise TypeError("Both arguments, “first” and “count”, must be "
                            "integers, but they aren’t.")
        if (first < 0) or (count < 0):
            raise IndexError("Both arguments, “first” and “count”, must"
                             "not be negative, but they are.")
        if scribus.getObjectType(self.__identifier) != "TextFrame":
            raise RuntimeError("The argument “textFrame” that was given in "
                               "the constructor does currently not refer to "
                               "a text frame in the current document.")
        # If count is 0, scribus.selectText will select nothing. But when
        # nothing is selected, scribus.getAllText will not return an empty
        # string, but the hole content of the story. That is not what we
        # expect, so we have to catch this case manually.
        if count == 0:
            if first >= self.length():
                raise IndexError("“first” is out of range.")
            return u""
        scribus.selectText(first, count, self.__identifier)
        return scribus.getAllText(self.__identifier)

    def delete_text(self, first, count):
        """Precondition: The object with the unique identifier “textFrame”
        (constructor argument) currently exists in the current document,
        and it refers to a text frame. “first” and “count” are non-negative
        integers. The requested range exists really.
        Postcondition: Starting from index “first”, the number of
        “count” indexes are removed. Note that the indexes are the
        indexes provides by
        scribus. This may not be unicode characters, but UTF16 code units, and
        if you choose half a surrogate pair, scribus will silently add the
        missing half surrogate pair. The indexes does not refer to the actual
        text content of “textFrame”, but to the content of the underlying
        “story”, that means the common text content that is shared between
        this text frame and all linked text frames. Note that this function
        will (likely) change the current text selection of the story."""
        if (type(first) is not int) or (type(count) is not int):
            raise TypeError("Both arguments, “first” and “count”, must be "
                            "integers, but they aren’t.")
        if (first < 0) or (count < 0):
            raise IndexError("Both arguments, “first” and “count”, must"
                             "not be negative, but they are.")
        if scribus.getObjectType(self.__identifier) != "TextFrame":
            raise RuntimeError("The argument “textFrame” that was given in "
                               "the constructor does currently not refer to "
                               "a text frame in the current document.")
        # If count is 0, scribus.selectText will select nothing. But when
        # nothing is selected, scribus.deleteText will delete the
        # hole content of the story. That is not what we
        # expect, so we have to catch this case manually.
        if count == 0:
            if first >= self.length():
                raise IndexError("“first” is out of range.")
            return
        scribus.selectText(first, count, self.__identifier)
        return scribus.deleteText(self.__identifier)

    def insert_text(self, text, first):
        """Precondition: The object with the unique identifier “textFrame”
        (constructor argument) currently exists in the current document,
        and it refers to a text frame. “first” is a non-negative
        integer ≤ length(). “text” is of type “unicode”.
        Postcondition: The text is inserted at the given index position.

        Note that the indexes are the indexes provided by
        scribus. This may not be unicode characters, but UTF16 code units,
        and if you choose half a surrogate pair, scribus will insert between
        them, making the unicode text string invalid.
        0The indexes does not refer to the actual
        text content of “textFrame”, but to the content of the underlying
        “story”, that means the common text content that is shared between
        this text frame and all linked text frames. Note that this function
        will (likely) change the current text selection of the story."""
        if (type(first) is not int) or (type(text) is not str):
            raise TypeError("“first” must be “integer” and “text” must "
                            "be “unicode”, but they aren’t.")
        if first < 0:
            # We have to check for “first < 0” here, because scribus
            # would accept “first == -1” as valid, but we do not
            # want this behaviour here.
            raise IndexError("“first” must"
                             "not be negative, but it is.")
        if scribus.getObjectType(self.__identifier) != "TextFrame":
            raise RuntimeError("The argument “textFrame” that was given in "
                               "the constructor does currently not refer to "
                               "a text frame in the current document.")
        scribus.insertText(
            text,
            first,
            self.__identifier)

    def length(self):
        """Precondition: The object with the unique identifier “textFrame”
        (constructor argument) currently exists in the current document,
        and it refers to a text frame.
        Postcondition: Returns an integer that represents the length
        of the text. The measurement unit of the length is provided
        by Scribus. It is in Scribus 1.5.2 not “Unicode Scalar Values”,
        but “UTF16 code units”.
        """
        return scribus.getTextLength(self.__identifier)


def show_messagebox(
        caption,
        message,
        icon=scribus.ICON_NONE,
        button1=scribus.BUTTON_OK,
        button2=scribus.BUTTON_NONE,
        button3=scribus.BUTTON_NONE):
    """Shows a message box. Use this function instead of the original
    function to get more exceptions for wrong argument types and be
    forced to use unicode string. (This function uses an explicit conversion
    command for the unicode string instead of relying to the default
    encoding.)

    Preconditions: “caption” and “message” are of type “unicode”. icon,
    button1, button2 and button3 are either not used or of type int.
    Postcondition: Calls show_messagebox and returns the result."""
    if type(caption) is not str:
        raise TypeError("“caption” must be of type “unicode”, but it isn’t.")
    if type(message) is not str:
        raise TypeError("“message” must be of type “unicode”, but it isn’t.")
    if type(icon) is not int:
        raise TypeError("“icon” must be of type “int”, but it isn’t.")
    if type(button1) is not int:
        raise TypeError("“button1” must be of type “int”, but it isn’t.")
    if type(button2) is not int:
        raise TypeError("“button2” must be of type “int”, but it isn’t.")
    if type(button3) is not int:
        raise TypeError("“button3” must be of type “int”, but it isn’t.")
    return scribus.messageBox(
        caption,
        message,
        icon,
        button1,
        button2,
        button3)


def do_ligature_setting():
    """Do the ligature setting for the stories behind the selected text
    frames.

    Preconditions: Scribus is available.

    Postconditions: Does the ligature setting."""
    def ligature_setting_for_story(identifier, provider):
        interface = StoryInterface(identifier)
        used_characters = provider.get_word_characters() + u"\u00AD\u200C"
        i = 0
        while i < interface.length():
            temp = interface.read_text(i, 1)
            if temp in used_characters:
                # So temp is guaranteed to contain exclusively Unicode
                # Scalar Values inside the BMP. This is because
                # used_characters does so. This is tested (has
                # to be tested!) before this local function is
                # called.
                # Also my_word will have this characteristic.
                my_word = temp
                story_index = i
                i += 1
                while i < interface.length():
                    temp = interface.read_text(i, 1)
                    if temp in used_characters:
                        my_word += temp
                        i += 1
                    else:
                        break
                # It might be better to ignore words, that have in their
                # character style not the german language attribute, but
                # another language attribute. However, I do not know how
                # to get this working.
                instruction_list = provider.get_instructions(my_word)
                for j in range(len(instruction_list)):
                    # Scribus indexes are UFT16 code units.
                    # The instructions use as indexes either UFT16 code units
                    # or UTF32 code units, depending of the Python build.
                    # However, we have made sure earlier that only Unicode
                    # Scalar Values inside BMP are in used_characters, so
                    # it is guaranteed that here the indexes are the same,
                    # whether it is UTF16 or UTF32. So we can safely use
                    # these indexes to do our modifications in Scribus.
                    if instruction_list[j] == True:
                        # Insert here a ZWNJ.
                        interface.insert_text(u"\u200C", story_index)
                        i += 1
                        story_index += 2
                    elif instruction_list[j] == False:
                        # Delete here a ZWNJ.
                        interface.delete_text(story_index, 1)
                        i -= 1
                    else:
                        # Don’t make any modifications here.
                        story_index += 1
            else:
                i += 1

    german_locale = \
        re.search(u"^de(u|@|_|$)", scribus.getGuiLanguage()) is not None

    if scribus.haveDoc() <= 0:
        if german_locale:
            show_messagebox(
                u"Ligatursatz",
                u"Kein Dokument gefunden.")
        else:
            show_messagebox(
                u"Ligature setting",
                u"No document found.")
        return
    all_my_objects = get_affected_text_objects()
    if len(all_my_objects) <= 0:
        if german_locale:
            show_messagebox(
                u"Ligatursatz",
                u"Kein Textrahmen ausgewählt.")
        else:
            show_messagebox(
                u"Ligature setting",
                u"No text frame selected.")
        return
    if german_locale:
        result = show_messagebox(
            u"Ligatursatz",
            u"<b>Einführung</b>"
                u"<br/>"
                u"Einige Buchstaben\xADkombinationen sind eine "
                u"Heraus\xADforderung für die Gestaltung von "
                u"Schrift\xADarten. Ein gutes Beispiel ist die "
                u"f\u2011i\u2011Kombi\xADna\xADtion. Das "
                u"kleine\xA0f ist oft aus\xADladend gestaltet, und so "
                u"ent\xADsteht eine unschöne Lücke zwischen dem kleinen\xA0f "
                u"und dem kleinen\xA0i. Viele Schriftarten lösen dieses "
                u"Problem durch Ligaturen. Die Buch\xADstaben werden "
                u"ver\xADschmolzen; so wird die Lücke ver\xADmieden und das "
                u"Schrift\xADbild wirkt harmonischer. Im Deutschen gibt es "
                u"nun viele zusammen\xADgesetzte Wörter. Ligaturen "
                u"erschweren hier aber das Lesen. Des\xADhalb wird bei "
                u"deutschen Texten <i>in solchen Fällen</i> keine "
                u"Ligatur gesetzt."
                u"<br/>"
                u"<br/>"
                u"<b>Umsetzung</b>"
                u"<br/>"
                u"Ligaturen werden überall dort gesetzt, wo sie nicht "
                u"durch einen Binde\xADhemmer (Unicode-Zeichen U+200C) "
                u"unter\xADdrückt werden. Dieses kleine Skript arbeitet "
                u"sich nun durch alle ausgewählten und alle mit ihnen "
                u"verketteten Textrahmen und ergänzt und entfernt "
                u"Bindehemmer gemäß den Regeln für deutschen "
                u"Ligatursatz. Dieses Skript basiert "
                u"auf einem Wörter\xADbuch, in dem für viele Wörter der "
                u"passende Ligatur\xADsatz hinter\xADlegt ist. Bei Wörtern, "
                u"die nicht im Wörter\xADbuch ver\xADzeichnet sind, "
                u"ver\xADsucht das Skript, den passenden "
                u"Ligatur\xADsatz zu „erraten“. "
                u"Das Skript setzt Binde\xADhemmer an allen "
                u"Morphem\xADgrenzen, und zwar unabhängig davon, ob die "
                u"unter\xADdrückte Ligatur gebräuchlich ist oder in der "
                u"dort verwendeten Schrift\xADart überhaupt vorkommt. Somit "
                u"wird beim Wort „Auflage“ die häufig anzutreffende "
                u"fl\u2011Ligatur durch einen Binde\xADhemmer unterdrückt. Aber "
                u"auch beim Wort „Aufgabe“ wird zwischen\xA0f und\xA0g ein "
                u"Binde\xADhemmer gesetzt, obwohl eine fg\u2011Ligatur nicht "
                u"gebräuchlich ist. Dieses Vor\xADgehen hat den Nach\xADteil, "
                u"dass wohl viele Binde\xADhemmer gesetzt werden, die "
                u"keinen Effekt haben, weil die Schrift\xADart diese "
                u"Ligaturen überhaupt nicht enthält. Dieses Vor\xADgehen "
                u"hat aber den Vor\xADteil, dass es im Grund\xADsatz für alle "
                u"Schrift\xADarten funktioniert – auch dann, wenn "
                u"Schmuck\xADligaturen ver\xADwendet werden oder die "
                u"Schrift\xADart exotische Ligaturen ent\xADhält.",
                scribus.ICON_NONE,
                scribus.BUTTON_OK,
                scribus.BUTTON_CANCEL)
    else:
        result = show_messagebox(
            u"Ligature setting",
            u"<b>Introduction</b>"
                u"<br/>"
                u"Some character combinations are a challenge for type "
                u"design. A good example is the f-i\xA0combination. The "
                u"small\xA0f has often a spreading design, so there is an "
                u"unpleasant gap between the small\xA0f and the small\xA0i. "
                u"Many fonts solve this problem by using ligatures. The "
                u"glyphs are melt together and the typeface is more "
                u"harmonious. But in German, there are many compound "
                u"words. Now ligatures make reading more difficult. "
                u"Therefore <i>in such cases</i> ligatures are not used "
                u"in German."
                u"<br/>"
                u"<br/>"
                u"<b>Implementation</b>"
                u"<br/>"
                u"Ligatures are used everywhere, except they are "
                u"suppressed with a zero\xA0width non-joiner (Unicode "
                u"character U+200C). This little script walks through "
                u"all selected text frames and all text frames linked "
                u"with them, and completes and removes zero\xA0width "
                u"non-joiner following the rules for German ligatures. "
                u"This script is based on a dictionary "
                u"that provides the fitting ligature setting "
                u"for many German words. For words that are not in the "
                u"dictionary, the script tries to guess the fitting "
                u"ligature setting. The script inserts zero\xA0width "
                u"non-joiners on all morpheme boundaries, regardless of "
                u"whether the suppressed ligature is common or available "
                u"at all in the current font face. So for the word "
                u"“Auflage” the common fl\xA0ligature is suppressed by a "
                u"zero\xA0width non-joiner. But also in the word “Aufgabe” "
                u"a zero\xA0width non-joiner is inserted between\xA0f and\xA0g "
                u"even though an fg ligature is not common. This "
                u"approach has the disadvantage that probably many "
                u"zero\xA0width non-joiners are inserted that will have no "
                u"effect because the font face does not even contain "
                u"these ligatures. But this approach has the advantage "
                u"that is works in principle for all font faces, also "
                u"if discretionary ligatures are used or if the "
                u"font face contains exotic ligatures.",
            scribus.ICON_NONE,
            scribus.BUTTON_OK,
            scribus.BUTTON_CANCEL)
    if result == 4194304:
        return
    if result != 1024:
        raise AssertionError(
            "Expected message result be 1024 or 4194304, but it isn’t.")
    my_provider = InstructionProvider()
    # Make sure that get_word_characters() has only BMP values.
    word_characters = my_provider.get_word_characters()
    for char in word_characters:
        if not is_bmp_scalar_only(char):
            raise AssertionError("get_word_characters() should return only "
                                 "BMP values, but it doesn’t.")
    try:
        scribus.setRedraw(False)
        for my_textframe in all_my_objects:
            # For each text frame in our list, we do the ligature setting
            # for the hole story (means, also for all linked text
            # frames). Result: If the user has selected various linked
            # text frames of the same story, than we do all the same
            # work various times. That’s quite inefficient, but however
            # I don’t know how to prevent this.
            ligature_setting_for_story(my_textframe, my_provider)
            # Clean the text selection for this Scribus object
            scribus.selectText(0, 0, my_textframe)
        # Show final message (if no exceptions have been raised so far)…
        if german_locale:
            show_messagebox(
                u"Ligatursatz",
                u"Der Ligatursatz ist abgeschlossen.")
        else:
            show_messagebox(
                u"Ligature setting",
                u"Ligature setting has finished.")
    finally:
        # Make sure that redraw gets enabled again.
        scribus.setRedraw(True)
        scribus.redrawAll()

if __name__ == '__main__':
    do_ligature_setting()
