Grammalecte  Diff

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    # read lexicon
    nStop = 0
    for n, sLine in enumerate(readFile(sp+"/data/dictConj.txt")):
        nTab = sLine.count("\t")
        if nTab == 1:
            # new entry
            sLemma, sVinfo = sLine.split("\t")
            sInfi, sVinfo = sLine.split("\t")
            dConj = {   ":P": { ":P": "" },
                        ":Q": { ":m:s": "", ":f:s": "", ":m:p": "", ":f:p": "" },
                        ":Ip": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "", ":1ś": "" },
                        ":Iq": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "" },
                        ":Is": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "" },
                        ":If": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "" },
                        ":K":  { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "" },
                        ":Sp": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "", ":1ś": "" },
                        ":Sq": { ":1s": "", ":2s": "", ":3s": "", ":1p": "", ":2p": "", ":3p": "", ":1ś": "" },
                        ":E":  { ":2s": "", ":1p": "", ":2p": "" }
                    }
            if sVinfo not in lVinfo:
                dVinfo[sVinfo] = nVinfo
                lVinfo.append(sVinfo)
                nVinfo += 1
            # looking for names derivating from verb
            for sMorph in oDict.getMorph(sLemma):
            for sMorph in oDict.getMorph(sInfi):
                if ":N" in sMorph:
                    dVerbNames[sLemma] = { sLemma }
                    dVerbNames[sInfi] = { sInfi }
                    break
        elif nTab == 2:
            # flexion
            _, sTag, sFlex = sLine.split("\t")
            if sTag.count(" ") == 0:
                if sTag == "ppre":
                    dConj[":P"][":P"] = defineSuffixCode(sLemma, sFlex)
                    dConj[":P"][":P"] = defineSuffixCode(sInfi, sFlex)
            else:
                try:
                    mode, g = sTag.split(maxsplit=1)
                    mode = dTrad[mode]
                    g = dTrad[g]
                    if dConj[mode][g] == "":
                        dConj[mode][g] = defineSuffixCode(sLemma, sFlex)
                        dConj[mode][g] = defineSuffixCode(sInfi, sFlex)
                    else:
                        # comment gérer les autres graphies ?
                        pass
                except:
                    echo(sLemma, " - ", sTag, " - non géré: ", mode, " / ", g)
                    echo(sInfi, " - ", sTag, " - non géré: ", mode, " / ", g)
            # looking for names derivating from verb
            for sMorph in oDict.getMorph(sFlex):
                if ":N" in sMorph:
                    if sLemma not in dVerbNames:
                        dVerbNames[sLemma] = { sFlex }
                    if sInfi not in dVerbNames:
                        dVerbNames[sInfi] = set()
                    else:
                        dVerbNames[sLemma].add(sFlex)
                    break
                    dVerbNames[sInfi].add(sFlex)
                    sLemma = sMorph[1:sMorph.find("/")]
                    if sFlex != sLemma:
                        dVerbNames[sInfi].add(sLemma)
        elif sLine == "$":
            # we store the dictionary of rules for this lemma
            if dConj[":Ip"][":1ś"] == "2è":
                dConj[":Ip"][":1ś"] = "2é"
            elif sLemma == "pouvoir":
            elif sInfi == "pouvoir":
                dConj[":Ip"][":1ś"] = "6uis"
            lConjTags = []
            for sTense in [":P", ":Q", ":Ip", ":Iq", ":Is", ":If", ":K", ":Sp", ":Sq", ":E"]:
                bFound = False
                for i, d in enumerate(dPatternList[sTense]):
                    if dConj[sTense] == d:
                        bFound = True
                        lConjTags.append(i)
                        break
                if not bFound:
                    lConjTags.append(len(dPatternList[sTense]))
                    dPatternList[sTense].append(dConj[sTense])
            tConjTags = tuple(lConjTags)
            if tConjTags not in lTags:
                dTags[tConjTags] = nTags
                lTags.append(tConjTags)
                nTags += 1
            dVerb[sLemma] = (dVinfo[sVinfo], dTags[tConjTags])
            dVerb[sInfi] = (dVinfo[sVinfo], dTags[tConjTags])
        else:
            print("# Error - unknown line", n)

    for sLemma, aNames in dVerbNames.items():
        dVerbNames[sLemma] = tuple(aNames)  # convert set to tuple
    for sInfi, aNames in dVerbNames.items():
        dVerbNames[sInfi] = tuple(aNames)  # convert set to tuple

    ## write file for Python
    sCode = "## generated data (do not edit)\n\n" + \
            "# Informations about verbs\n" + \
            "lVtyp = " + str(lVinfo) + "\n\n" + \
            "# indexes of tenses in _dPatternConj\n" + \
            "lTags = " + str(lTags) + "\n\n" + \
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        ## write file for JavaScript
        sCode = "{\n" + \
                '    "dWord": ' + json.dumps(dWord, ensure_ascii=False) + ",\n" + \
                '    "lSet": ' + json.dumps(lSet, ensure_ascii=False) + ",\n" + \
                '    "dMorph": ' + json.dumps(dMorph, ensure_ascii=False) + "\n}"
        open(sp+"/modules-js/phonet_data.json", "w", encoding="utf-8", newline="\n").write(sCode)


def makeLocutions (sp, bJS=False):
    "compile list of locutions in JSON"
    print("> Locutions ", end="")
    print("(Python et JavaScript)"  if bJS  else "(Python seulement)")
    dLocGraph = {}
    oTokenizer = tkz.Tokenizer("fr")
    for sLine in itertools.chain(readFile(sp+"/data/locutions_adverbiales.txt"), \
                                 readFile(sp+"/data/locutions_prépositives.txt"), \
                                 readFile(sp+"/data/locutions_conjonctives.txt"), \
                                 readFile(sp+"/data/locutions_pronominales.txt"), \
                                 readFile(sp+"/data/locutions_adjectivales.txt"), \
                                 readFile(sp+"/data/locutions_interjectives.txt"), \
                                 readFile(sp+"/data/locutions_nominales.txt"), \
                                 readFile(sp+"/data/locutions_verbales.txt")):
        dCur = dLocGraph
        sLoc, sTag = sLine.split("\t")
        for oToken in oTokenizer.genTokens(sLoc.strip()):
            sWord = oToken["sValue"]
            if sWord not in dCur:
                dCur[sWord] = {}
            dCur = dCur[sWord]
        dCur["_:_"] = sTag

    sCode = "# generated data (do not edit)\n\n" + \
            "dLocutions = " + str(dLocGraph) + "\n"
    open(sp+"/modules/locutions_data.py", "w", encoding="utf-8", newline="\n").write(sCode)
    if bJS:
        open(sp+"/modules-js/locutions_data.json", "w", encoding="utf-8", newline="\n").write(json.dumps(dLocGraph, ensure_ascii=False))


def before (spLaunch, dVars, bJS=False):
    print("========== Build Hunspell dictionaries ==========")
    makeDictionaries(spLaunch, dVars['oxt_version'])


def after (spLaunch, dVars, bJS=False):
    print("========== Build French data ==========")
    makeMfsp(spLaunch, bJS)
    makeConj(spLaunch, bJS)
    makePhonetTable(spLaunch, bJS)
    #makeLocutions(spLaunch, bJS)