#!python3
# FRENCH DATA BUILDER
#
# by Olivier R.
# License: MPL 2
import json
import os
import itertools
import traceback
import platform
import graphspell.ibdawg as ibdawg
from graphspell.echo import echo
from graphspell.str_transform import defineSuffixCode
import graphspell.tokenizer as tkz
oDict = None
class cd:
"""Context manager for changing the current working directory"""
def __init__ (self, newPath):
self.newPath = os.path.expanduser(newPath)
def __enter__ (self):
self.savedPath = os.getcwd()
os.chdir(self.newPath)
def __exit__ (self, etype, value, traceback):
os.chdir(self.savedPath)
def readFile (spf):
if os.path.isfile(spf):
with open(spf, "r", encoding="utf-8") as hSrc:
for sLine in hSrc:
sLine = sLine.strip()
if sLine == "__END__":
break
if sLine and not sLine.startswith("#"):
yield sLine
else:
raise OSError("# Error. File not found or not loadable: " + spf)
def loadDictionary ():
global oDict
if not oDict:
try:
oDict = ibdawg.IBDAWG("fr-allvars.bdic")
except:
traceback.print_exc()
def makeDictionaries (sp, sVersion):
with cd(sp+"/dictionnaire"):
if platform.system() == "Windows":
os.system("genfrdic.py -s -gl -v "+sVersion)
else:
os.system("python3 ./genfrdic.py -s -gl -v "+sVersion)
def makeConj (sp, bJS=False):
print("> Conjugaisons ", end="")
print("(Python et JavaScript)" if bJS else "(Python seulement)")
dVerb = {}
lVinfo = []; dVinfo = {}; nVinfo = 0
lTags = []; dTags = {}; nTags = 0
dVerbNames = {}
dPatternList = {
":PQ": [], ":Ip": [], ":Iq": [], ":Is": [], ":If": [], ":K": [], ":Sp": [], ":Sq": [], ":E": []
}
dTrad = {
"infi": ":Y", "ppre": ":PQ", "ppas": ":PQ",
"ipre": ":Ip", "iimp": ":Iq", "ipsi": ":Is", "ifut": ":If",
"spre": ":Sp", "simp": ":Sq",
"cond": ":K", "impe": ":E",
"1sg": ":1s", "2sg": ":2s", "3sg": ":3s", "1pl": ":1p", "2pl": ":2p", "3pl": ":3p", "1isg": ":1ś",
"mas sg": ":Q1", "mas pl": ":Q2", "mas inv": ":Q1", "fem sg": ":Q3", "fem pl": ":Q4", "epi inv": ":Q1"
}
loadDictionary()
# 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")
dConj = { ":PQ": { ":P": "", ":Q1": "", ":Q2": "", ":Q3": "", ":Q4": ""},
":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):
if ":N" in sMorph:
dVerbNames[sLemma] = { sLemma }
break
elif nTab == 2:
# flexion
_, sTag, sFlex = sLine.split("\t")
if sTag.count(" ") == 0:
if sTag == "ppre":
dConj[":PQ"][":P"] = defineSuffixCode(sLemma, 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)
else:
# comment gérer les autres graphies ?
pass
except:
echo(sLemma, " - ", 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 }
else:
dVerbNames[sLemma].add(sFlex)
break
elif sLine == "$":
# we store the dictionary of rules for this lemma
if dConj[":Ip"][":1ś"] == "2è":
dConj[":Ip"][":1ś"] = "2é"
elif sLemma == "pouvoir":
dConj[":Ip"][":1ś"] = "6uis"
lConjTags = []
for sTense in [":PQ", ":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])
else:
print("# Error - unknown line", n)
for sLemma, aNames in dVerbNames.items():
dVerbNames[sLemma] = 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" + \
"# lists of affix codes to generate inflected forms\n" + \
"dPatternConj = " + str(dPatternList) + "\n\n" + \
"# dictionary of verbs : (index of Vtyp, index of Tags)\n" + \
"dVerb = " + str(dVerb) + "\n\n" + \
"# names as derivatives from verbs\n" + \
"dVerbNames = " + str(dVerbNames) + "\n"
open(sp+"/modules/conj_data.py", "w", encoding="utf-8", newline="\n").write(sCode)
if bJS:
## write file for JavaScript
with open(sp+"/modules-js/conj_data.json", "w", encoding="utf-8", newline="\n") as hDst:
hDst.write("{\n")
hDst.write(' "lVtyp": ' + json.dumps(lVinfo, ensure_ascii=False) + ",\n")
hDst.write(' "lTags": ' + json.dumps(lTags, ensure_ascii=False) + ",\n")
hDst.write(' "dPatternConj": ' + json.dumps(dPatternList, ensure_ascii=False) + ",\n")
hDst.write(' "dVerb": ' + json.dumps(dVerb, ensure_ascii=False) + ",\n")
hDst.write(' "dVerbNames": ' + json.dumps(dVerbNames, ensure_ascii=False) + "\n")
hDst.write("}\n")
def makeMfsp (sp, bJS=False):
print("> Pluriel/singulier/masculin/féminin ", end="")
print("(Python et JavaScript)" if bJS else "(Python seulement)")
aPlurS = set() # pluriels en -s
dTag = {}
lTagFemForm = []
lTagMiscPlur = [] # pluriels spéciaux
dMiscPlur = {}
dMasForm = {}
lTag = []
lTagFemPl = []
for n, sLine in enumerate(readFile(sp+"/data/dictDecl.txt")):
nTab = sLine.count("\t")
if nTab == 1:
# new entry
lTag.clear()
lTagFemPl.clear()
sLemma, sFlags = sLine.split("\t")
if sFlags.startswith("S"):
cType = "sg"
elif sFlags.startswith("X"):
cType = "pl"
elif sFlags.startswith("A"):
cType = "pl"
elif sFlags.startswith("I"):
cType = "pl"
elif sFlags.startswith("F"):
cType = "mf"
elif sFlags.startswith("W"):
cType = "mf"
else:
cType = "?"
print(" > inconnu : " + sFlags)
elif nTab == 2:
if cType == "sg":
# nothing to do
continue
_, sFlexTags, sFlex = sLine.split("\t")
if cType == "pl":
if sFlexTags.endswith("pl"):
lTag.append(defineSuffixCode(sLemma, sFlex))
elif cType == "mf":
if sFlexTags.endswith("fem sg"):
lTag.append(defineSuffixCode(sLemma, sFlex))
if sFlexTags.endswith("fem pl"):
lTagFemPl.append(defineSuffixCode(sLemma, sFlex))
else:
print("erreur: " + cType)
elif sLine == "$":
if cType == "sg":
aPlurS.add(sLemma)
elif cType == "pl":
sTag = "|".join(lTag)
if sTag not in dTag:
dTag[sTag] = len(lTagMiscPlur)
lTagMiscPlur.append(sTag)
dMiscPlur[sLemma] = dTag[sTag]
elif cType == "mf":
sTag = "|".join(lTag) + "/" + "|".join(lTagFemPl)
if sTag not in dTag:
dTag[sTag] = len(lTagFemForm)
lTagFemForm.append(sTag)
dMasForm[sLemma] = dTag[sTag]
else:
print("unknown tag: " + ctype)
else:
print("# Error - unknown line #", n)
## write file for Python
sCode = "# generated data (do not edit)\n\n" + \
"# list of affix codes\n" + \
"lTagMiscPlur = " + str(lTagMiscPlur) + "\n" + \
"lTagFemForm = " + str(lTagFemForm) + "\n\n" + \
"# dictionary of words with uncommon plurals (-x, -ux, english, latin and italian plurals) and tags to generate them\n" + \
"dMiscPlur = " + str(dMiscPlur) + "\n\n" + \
"# dictionary of feminine forms and tags to generate masculine forms (singular and plural)\n" + \
"dMasForm = " + str(dMasForm) + "\n"
open(sp+"/modules/mfsp_data.py", "w", encoding="utf-8", newline="\n").write(sCode)
if bJS:
## write file for JavaScript
sCode = '{\n' + \
' "lTagMiscPlur": ' + json.dumps(lTagMiscPlur, ensure_ascii=False) + ",\n" + \
' "lTagFemForm": ' + json.dumps(lTagFemForm, ensure_ascii=False) + ",\n" + \
' "dMiscPlur": ' + json.dumps(dMiscPlur, ensure_ascii=False) + ",\n" + \
' "dMasForm": ' + json.dumps(dMasForm, ensure_ascii=False) + "\n}"
open(sp+"/modules-js/mfsp_data.json", "w", encoding="utf-8", newline="\n").write(sCode)
def makePhonetTable (sp, bJS=False):
print("> Correspondances phonétiques ", end="")
print("(Python et JavaScript)" if bJS else "(Python seulement)")
import gc_lang.fr.modules.conj as conj
loadDictionary()
# set of homophonic words
lSet = []
for sLine in readFile(sp+"/data/phonet_simil.txt"):
lWord = sLine.split()
aMore = set()
for sWord in lWord:
if sWord.endswith("er") and conj.isVerb(sWord):
aMore = aMore.union(conj.getConjSimilInfiV1(sWord))
lWord.extend(list(aMore))
lSet.append(sorted(set(lWord)))
# dictionary of words
dWord = {}
for i, aSet in enumerate(lSet):
for sWord in aSet:
if oDict.lookup(sWord):
dWord[sWord] = i # warning, what if word in several sets?
else:
echo("Mot inconnu : " + sWord)
# dictionary of morphologies
dMorph = {}
for sWord in dWord:
dMorph[sWord] = oDict.getMorph(sWord)
# write file for Python
sCode = "# generated data (do not edit)\n\n" + \
"dWord = " + str(dWord) + "\n\n" + \
"lSet = " + str(lSet) + "\n\n" + \
"dMorph = " + str(dMorph) + "\n"
open(sp+"/modules/phonet_data.py", "w", encoding="utf-8", newline="\n").write(sCode)
if bJS:
## 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)