'
#if anfangtext in sum:
#sum=sum
#print('sum', sum)
#else:
#sum = anfangtext + sum
anfangtext = re.sub(r"[-]", "", anfangtext)
sum = anfangtext
print('sum2', sum)
return sum
#################Wetter########
numbers = "(^a(?=\s)|eins|eine|einen|einer|einem|zwei|drei|vier|fünf|sechs|sieben|acht|neun|zehn|elf|zwölf|dreizehn|vierzehn|fünfzehn|sechszehn|siebzehn|achtzehn|neunzehn|zwanzig|dreizig|vierzig|fünfzig|sechszig|siebzig|achtzig|neunzig|hundert|tausend|1|2|3|4|5|6|7|8|9)"
day = "(montag|dienstag|mittwoch|donnerstag|freitag|samstag|sonntag)"
week_day = "(montag|dienstag|mittwoch|donnerstag|freitag|samstag|sonntag)"
month = "(januar|februar|märz|april|may|june|july|august|september|oktober|november|dezember)"
# dmy = "(wochenende|jahr|tag|woche|monat)"
dmy = "(jahr|tag|woche|monat)"
rel_day = "(heute|gestern|morgen|übermorgen)"
exp1 = "(vor|nach|in|im|später|)"
exp2 = "(diese|dieses|dieser|diesen|diesem|nächste|nächstes|nächster|nächstem|nächsten|letzte|letztes|letzter|letztem|letzten)"
# iso = "\d+[/.]\d+[/.]"
iso = "\d+[/.]\d+"
iso2 = "\d+[/.]"
year = "((?<=\s)\d{4}|^\d{4})"
# regxp1 = "((\d+|(" + numbers + "[-\s]?)+) " + dmy + "n? " + exp1 + ")"
regxp1 = "((\d+|(" + exp1 + "[-\s]?)+) " + numbers + "n? " + dmy + ")"
regxp2 = "(" + exp2 + " (" + dmy + "|" + week_day + "|" + month + "))"
regxp8 = "(" + iso2 + " (" + month + "))"
date1 = "([012]?[0-9]|3[01])"
regxp6 = "(" + date1 + " " + month + ")"
# regxp4 = "(" + month + " " + date + "[te]?[,]? " + year + ")"
reg1 = re.compile(regxp1, re.IGNORECASE)
reg2 = re.compile(regxp2, re.IGNORECASE)
#####print(reg2)
reg3 = re.compile(rel_day, re.IGNORECASE)
reg4 = re.compile(iso)
reg5 = re.compile("wochenende")
reg9 = re.compile("Wochenende")
#####print(reg5)
reg6 = re.compile(regxp6, re.IGNORECASE)
reg7 = re.compile(day, re.IGNORECASE)
reg8 = re.compile(regxp8, re.IGNORECASE)
reg10 = re.compile(month, re.IGNORECASE)
def extractDate(text):
# Initialization
timex_found = []
# re.findall() finds all the substring matches, keep only the full
# matching string. Captures expressions such as 'number of days' ago, etc.
found = reg1.findall(text)
#####print('reg1')
found = [a[0] for a in found if len(a) > 1]
for timex in found:
#####print('1. reg1', timex)
timex = timex.replace('ein', '1')
timex = timex.replace('eine', '1')
timex = timex.replace('einen', '1')
timex = timex.replace('einer', '1')
timex = timex.replace('einem', '1')
timex = timex.replace('zwei', '2')
timex = timex.replace('drei', '3')
timex = timex.replace('vier', '4')
timex = timex.replace('fünf', '5')
timex = timex.replace('sechs', '6')
timex = timex.replace('sieben', '7')
timex = timex.replace('acht', '8')
timex = timex.replace('neun', '9')
timex = timex.replace('zehn', '10')
timex = timex.replace('nach', 'in')
timex1 = (dateparser.parse('in' + timex)).strftime('%d.%m.%Y')
right_now_str = date.today().strftime('%d.%m.%Y')
z00 = right_now_str
timex_found.append(z00)
timex_found.append(timex1)
# Variations of this thursday, next year, etc
# Variations of month and iso
reg8.findall(text)
#####print('reg8')
found = reg8.findall(text)
found = [a[0] for a in found if len(a) > 1]
for timex in found:
#####print('reg8', timex)
timex1 = dateparser.parse(timex).strftime('%d.%m.%Y')
z00 = dateparser.parse(timex).strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(timex1)
found = reg2.findall(text)
#####print('reg2')
found = [a[0] for a in found if len(a) > 1]
for timex in found:
#####print('reg2', timex)
if any(c in timex for c in ['nächste']):
if any(d in timex for d in ['woche', 'Woche']):
glanceweek = timedelta(days=6)
#####print(glanceweek)
right_now = date.today()
next_monday = next_weekday(right_now, 0).strftime('%d.%m.%Y')
next_monday_d = next_weekday(right_now, 0)
z01 = (next_monday_d + glanceweek)
z00 = next_monday
z01 = z01.strftime('%d.%m.%Y')
if any(d in timex for d in ['tag', 'Tag']):
glanceweek = timedelta(days=7)
#####print(glanceweek)
right_now = date.today()
next_monday = right_now.strftime('%d.%m.%Y')
z01 = (right_now + glanceweek)
z00 = next_monday
z01 = z01.strftime('%d.%m.%Y')
if any(d in timex for d in ['monat', 'Monat']):
timex1 = dateparser.parse('nächsten Monat').strftime('%d.%m.%Y')
day2, month2, year2 = timex1.split('.')
b = '01.'
c = '30.'
z00 = b + month2 + '.' + year2
z01 = c + month2 + '.' + year2
if any(d in timex for d in ['montag', 'Montag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 0).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 0).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['dienstag', 'Dienstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 1).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 1).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['mittwoch', 'Mittwoch']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 2).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 2).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['donnerstag', 'Donnerstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 3).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 3).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['freitag', 'Freitag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 4).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 4).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['samstag', 'Samstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 5).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 5).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['sonntag', 'Sonntag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 6).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 6).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(c in timex for c in ['diese']):
if any(d in timex for d in ['woche', 'Woche']):
right_now = date.today()
next_monday = right_now.strftime('%d.%m.%Y')
next_monday_d = next_weekday(right_now, 6)
z01 = next_monday_d
z00 = next_monday
z01 = z01.strftime('%d.%m.%Y')
if any(d in timex for d in ['monat', 'Monat']):
timex1 = dateparser.parse('diesen Monat').strftime('%d.%m.%Y')
day2, month2, year2 = timex1.split('.')
b = '01.'
c = '30.'
z00 = dateparser.parse('diesen Monat').strftime('%d.%m.%Y')
z01 = c + month2 + '.' + year2
if any(d in timex for d in ['montag', 'Montag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 0).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 0).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['dienstag', 'Dienstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 1).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 1).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['mittwoch', 'Mittwoch']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 2).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 2).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['donnerstag', 'Donnerstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 3).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 3).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['freitag', 'Freitag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 4).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 4).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['samstag', 'Samstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 5).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 5).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['sonntag', 'Sonntag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 6).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 6).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(c in timex for c in ['letzte']):
if any(d in timex for d in ['woche', 'Woche']):
glanceweek = timedelta(days=6)
#####print(glanceweek)
right_now = date.today()
past_monday = past_weekday(right_now, 0).strftime('%d.%m.%Y')
past_monday_d = past_weekday(right_now, 0)
z01 = (past_monday_d + glanceweek)
z00 = past_monday
z01 = z01.strftime('%d.%m.%Y')
if 'z00' in locals():
timex_found.append(z00)
else:
timex_found.append(dateparser.parse('heute').strftime('%d.%m.%Y'))
if 'z01' in locals():
timex_found.append(z01)
else:
timex_found.append(dateparser.parse('heute').strftime('%d.%m.%Y'))
found = reg5.findall(text)
#####print('reg5')
# found = [a[0] for a in found if len(a) > 1]
for timex in found:
#####print('reg5', timex)
if not timex_found == []:
timex_found.clear()
weekno = date.today().weekday()
if weekno < 5:
#####print("Weekday")
right_now = date.today()
next_samstag = next_weekday(right_now, 5)
next_sontag = next_weekday(right_now, 6)
z00 = next_samstag.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
elif weekno == 5:
#####print("Weekday")
right_now = date.today()
next_sontag = next_weekday(right_now, 6)
z00 = right_now.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
else:
#####print("Weekday")
right_now = date.today()
z00 = right_now.strftime('%d.%m.%Y')
z01 = right_now.strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(z01)
if timex_found == []:
weekno = date.today().weekday()
if weekno < 5:
#####print("Weekday")
right_now = date.today()
next_samstag = next_weekday(right_now, 5)
next_sontag = next_weekday(right_now, 6)
z00 = next_samstag.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
elif weekno == 5:
#####print("Weekday")
right_now = date.today()
next_sontag = next_weekday(right_now, 6)
z00 = right_now.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
else:
#####print("Weekday")
right_now = date.today()
z00 = right_now.strftime('%d.%m.%Y')
z01 = right_now.strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(z01)
found = reg9.findall(text)
#####print('reg9')
# found = [a[0] for a in found if len(a) > 1]
for timex in found:
#####print('reg9', timex)
if not timex_found == []:
timex_found.clear()
weekno = date.today().weekday()
if weekno < 5:
#####print("Weekday")
right_now = date.today()
next_samstag = next_weekday(right_now, 5)
next_sontag = next_weekday(right_now, 6)
z00 = next_samstag.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
elif weekno == 5:
#####print("Weekday")
right_now = date.today()
next_sontag = next_weekday(right_now, 6)
z00 = right_now.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
else:
#####print("Weekday")
right_now = date.today()
z00 = right_now.strftime('%d.%m.%Y')
z01 = right_now.strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(z01)
if timex_found == []:
weekno = date.today().weekday()
if weekno < 5:
#####print("Weekday")
right_now = date.today()
next_samstag = next_weekday(right_now, 5)
next_sontag = next_weekday(right_now, 6)
z00 = next_samstag.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
elif weekno == 5:
#####print("Weekday")
right_now = date.today()
next_sontag = next_weekday(right_now, 6)
z00 = right_now.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
else:
#####print("Weekday")
right_now = date.today()
z00 = right_now.strftime('%d.%m.%Y')
z01 = right_now.strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(z01)
# today, tomorrow, etc
found = reg3.findall(text)
#####print('reg3')
for timex in found:
#####print('reg3', timex)
if any(d in timex for d in ['übermorgen']):
#####print('timex', timex)
z00 = dateparser.parse('heute').strftime('%d.%m.%Y')
glanceweek = timedelta(days=2)
#####print(glanceweek)
timex1 = dateparser.parse('heute')
z01 = (timex1 + glanceweek)
z01 = z01.strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(z01)
else:
z00 = dateparser.parse(timex).strftime('%d.%m.%Y')
z01 = dateparser.parse(timex).strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(z01)
# ISO
found = reg4.findall(text)
#####print('reg4')
for timex in found:
#####print('reg4', timex)
timex1 = dateparser.parse(timex).strftime('%d.%m.%Y')
z00 = dateparser.parse(timex).strftime('%d.%m.%Y')
#####print(z00)
timex_found.append(z00)
timex_found.append(timex1)
# Dates
found = reg6.findall(text)
#####print('reg6')
found = [a[0] for a in found if len(a) > 1]
for timex in found:
#####print('reg6', timex)
timex1 = dateparser.parse(timex).strftime('%d.%m.%Y')
z00 = dateparser.parse(timex).strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(timex1)
found = reg7.findall(text)
#####print('reg7')
for timex in found:
#####print('reg7', timex)
if timex_found == []:
if any(d in timex for d in ['montag', 'Montag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 0).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 0).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['dienstag', 'Dienstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 1).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 1).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['mittwoch', 'Mittwoch']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 2).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 2).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['donnerstag', 'Donnerstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 3).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 3).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['freitag', 'Freitag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 4).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 4).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['samstag', 'Samstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 5).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 5).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['sonntag', 'Sonntag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 6).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 6).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
timex_found.append(z00)
timex_found.append(z01)
found = reg10.findall(text)
#####print('reg10')
for timex in found:
#####print('reg10', timex)
if timex_found == []:
timex1 = dateparser.parse(timex, settings={'PREFER_DAY_OF_MONTH': 'last'}).strftime('%d.%m.%Y')
z00 = dateparser.parse(timex, settings={'PREFER_DAY_OF_MONTH': 'first'}).strftime('%d.%m.%Y')
#####print(z00)
timex_found.append(z00)
timex_found.append(timex1)
# Year
# found = reg5.findall(text)
# for timex in found:
# timex_found.append(timex)
# Tag only temporal expressions which haven't been tagged.
# for timex in timex_found:
# text = re.sub(timex + '(?!)', '' + timex + '', text)
if timex_found == []:
timex_found.append('heute')
for match in timex_found:
if match == 'heute':
glanceweek = timedelta(days=0)
right_now = date.today()
right_now_str = date.today().strftime('%d.%m.%Y')
z01 = (right_now + glanceweek)
z00 = right_now_str
z01 = z01.strftime('%d.%m.%Y')
timex_found.remove('heute')
timex_found.append(z00)
timex_found.append(z01)
#####print('erste element', timex_found[0])
#####print('zwite element', timex_found[1])
return timex_found
from geotext import GeoText
def show_ents(doc):
print('docanfang', doc)
if "Wetter" in doc:
#print('Wetter word')
doc = doc.replace('Wetter', '')
#print('docadanach', doc)
doc = GeoText(doc)
print('doc', doc)
if doc.cities:
loc = doc.cities
#print('loc', loc)
return loc[0]
if doc.countries:
loc = doc.countries
return loc[0]
else:
return 'Freiburg'
def named_entity_wetter(frage):
named_entity_wetter = {}
named_entities = []
spacy_entity = show_ents(frage)
# print('spacy_entity', spacy_entity)
named_entities.append(spacy_entity)
named_entity_wetter['service'] = 'weather'
named_entity_wetter['location'] = list(set(named_entities))
# print('named_entity_wetter1', named_entity_wetter)
datum = extractDate(frage)
#####print(datum)
proofDatum = datum[1]
#####print(proofDatum)
glanceweek = timedelta(days=5)
defaultproofDatum = dateparser.parse('heute')
defaultproofDatum5 = (defaultproofDatum + glanceweek)
if datetime.strptime(proofDatum, '%d.%m.%Y').date() > defaultproofDatum5.date():
#####print('datum später!!!')
anzeige = ('Ich kann das Wetter der nächsten 5 Tage vorhersagen, danach wird die Vorhersage zu ungenau 🌈 🌦️')
named_entity_wetter['zeit'] = extractDate('nächste 4 Tage')
return anzeige, named_entity_wetter
if datetime.strptime(proofDatum, '%d.%m.%Y').date() < defaultproofDatum.date():
#####print('datum früher!!!')
anzeige = ('Ich kann das Wetter der nächsten 5 Tage vorhersagen, danach wird die Vorhersage zu ungenau 🌈 🌦️')
named_entity_wetter['zeit'] = extractDate('nächste 4 Tage')
return anzeige, named_entity_wetter
else:
#####print('datum normal!!!')
named_entity_wetter['zeit'] = extractDate(frage)
#####print('named_entity_wetter2', named_entity_wetter)
return named_entity_wetter
###################################################
##########Schreibfehler Korrektur
# from spellchecker import SpellChecker
# spell = SpellChecker(language='de')
################################################
import pickle
import json
# wiederherstelle alle unsere Datenstrukturen
data = pickle.load(open("prodae/models/trained_data", "rb"))
words = data['words']
classes = data['classes']
train_x = data['train_x']
train_y = data['train_y']
# Aufbau des neuronalen Netzes
net = tflearn.input_data(shape=[None, len(train_x[0])])
net = tflearn.fully_connected(net, 88)
net = tflearn.fully_connected(net, 88)
net = tflearn.fully_connected(net, len(train_y[0]), activation='softmax')
net = tflearn.regression(net)
# Definiere das Modell und konfiguriere tensorboard
model = tflearn.DNN(net, tensorboard_dir='train_logs')
# importiere die Dialogdesign-Datei
def lowercase(obj):
""" Make dictionary lowercase """
if isinstance(obj, dict):
return {k: lowercase(v) for k, v in obj.items()}
elif isinstance(obj, (list, set, tuple)):
t = type(obj)
return t(lowercase(o) for o in obj)
elif isinstance(obj, str):
if " " in obj:
object = []
o = nltk.word_tokenize(obj)
for i in o:
i = stemmer.stem(i.lower())
object.append(i)
s = ' '
object = s.join(object)
return object
else:
return stemmer.stem(obj.lower())
else:
return obj
def containsAll(str, set):
""" Check whether sequence str contains ALL of the items in set. """
return 0 not in [c in str for c in set]
import pickle
with open("prodae/models/org_data", "rb") as filehandleorg:
# read the data as binary data stream
org_entiti = pickle.load(filehandleorg)
with open("prodae/models/hilfe_data", "rb") as filehandlehilfe:
# read the data as binary data stream
hilf_entiti = pickle.load(filehandlehilfe)
with open("prodae/models/leistung_data", "rb") as filehandleleistung:
# read the data as binary data stream
leistung_entiti = pickle.load(filehandleleistung)
with open("prodae/models/lebenslage_data", "rb") as filehandlelebenslage:
# read the data as binary data stream
lebenslage_entiti = pickle.load(filehandlelebenslage)
# print('stadtteile_entiti', stadtteile_entiti)
def hilf_entity(frage):
# start = timeit.default_timer()
# print('hier bin ich!!!')
# d_entity = lowercase(d_entity)
######print(hilf_entity)
##print('hilfentity_frage!', frage)
frage = ''.join([str(elem) for elem in frage])
##print('hilfentity_frage1!', frage)
sentence_word = nltk.word_tokenize(frage)
##print('sentence_word!!!', sentence_word)
# generiere die Stopwörter
stop = stopwords.words('german')
ignore_words = ['?', '!', '-', '&', '.', ',', 'auf', 'können', 'kannst', 'mehr', 'erzählen', 'erzählst', 'alten',
'frau',
'toll', 'beantragen', 'brauche', 'brauchen', 'beantrage', 'liebst', 'lieben', 'mein',
'meines', 'meins', 'meiner', 'meinem', 'meines', 'meinen', 'wurde', 'möchte', 'möchten', 'möchtest','mocht',
'wurden', 'würde', 'würden', 'funktionen', 'gern', 'gerne', 'beantragen', 'beantrage', 'beantragt', 'benötige', 'brauche'] + stop
######Korrektur Schreibfehler
stemmed_frage = []
named_entities = []
for word in sentence_word:
if word == "OB":
stemmed_frage.append("oberburgermeist")
word = word.lower()
word = spell.correction(word)
lenhallo= len(frage) - len(word)
if word not in ignore_words or word == 'im' or word == 'dich' or word == 'am' or word == 'um' or word == 'was' or word == 'war' or word == 'zu' or word == 'nach' or word == 'kein' or word == 'keine' or word == 'ohne' or word == 'nicht' or word == 'dein' or word == 'wann' or word == 'dort' or word == 'dahin' or word == 'tüv' or word == 'wieder' or word == 'wie' or word == 'nicht' or word == 'viel' or word == 'wo' or word == 'wann' or word == 'warum' or word == 'wieso' or word == 'wohin' or word == 'wie' or word == 'an' or word == 'sich' or word == 'welche' or word == 'welcher' or word == 'welchen' or word == 'unter' or word == 'welches' or word == 'dir' or word == 'du' or word == 'viele' or word == 'mich' or word == 'jetzt' or word == 'mich' or word == 'bei' or word == 'darf' or word == 'kann':
word = stemmer.stem(word)
stemmed_frage.append(word)
if word == 'hallo' or word == 'hey' or word == 'hi' or word == 'servus' or word == 'mittag' or word == 'abend' or word == 'tag' or word == 'morgen' or word == 'grüß' or word == 'huhu' or word == 'moin':
if lenhallo >= 7:
print(frage, lenhallo, len(frage), len(word))
print('ok!!!!')
stemmed_frage.remove(word)
else:
stemmed_frage.append(word)
####print('stemmed_frage', stemmed_frage)
named_entities = stemmed_frage
for k, v in hilf_entiti.items():
#####print('v', v)
for item in v:
#####print('item', item)
stemmed_entity = nltk.word_tokenize(item, language='german')
#####print('stemmed_entity', stemmed_entity)
if containsAll(stemmed_frage, stemmed_entity) != 0:
print('stemmed_frage', stemmed_frage)
print('stemmed_entity', stemmed_entity)
named_entities.append(lowercase(k))
#####print('named_entities', named_entities)
for b in stemmed_entity:
#####print('b', b)
if b in named_entities:
named_entities.remove(b)
#####print('named_entities2', named_entities)
# end = timeit.default_timer()
# time = end - start
# print('named_entities:', named_entities)
return list(set(named_entities))
from fuzzywuzzy import process
def named_entity(stemmed_frage):
# start = timeit.default_timer()
#####print(entitaet)
# d_entity = lowercase(d_entity)
#####print(d_entity)
######Korrektur Schreibfehler
# stemmed_frage = hilf_entity(frage)
# stemmed_frage = lowercase(stemmed_frage)
# print('stemmed_frage2', stemmed_frage)
named_entities = []
for k, v in leistung_entiti.items():
#####print('v', v)
for item in v:
#####print('item', item)
stemmed_entity = nltk.word_tokenize(item, language='german')
#####print('stemmed_entity2', stemmed_entity)
if containsAll(stemmed_frage, stemmed_entity) != 0:
named_entities.append(k)
named_entities = list(set(named_entities))
#####print('named_entities', named_entities)
if len(named_entities) > 1:
for ent in named_entities:
if ent == '316':
named_entities.remove(ent)
if ent == '160':
named_entities.remove(ent)
if ent == '178':
named_entities.remove(ent)
if ent == '417':
named_entities.remove(ent)
if ent == '1439':
named_entities.remove(ent)
named_entities = named_entities[0]
# end = timeit.default_timer()
# time = end - start
# print('Zeit gebraucht:', time)
return str(named_entities).strip('[]')
def pruef_sbw(stemmed_frage):
# start = timeit.default_timer()
#####print(entitaet)
# d_entity = lowercase(d_entity)
#####print(d_entity)
######Korrektur Schreibfehler
# stemmed_frage = hilf_entity(frage)
# stemmed_frage = lowercase(stemmed_frage)
# print('stemmed_frage2', stemmed_frage)
named_entities = list(set(stemmed_frage))
#print('named_entities pruef', named_entities)
for k, v in leistung_entiti.items():
#print('v', v)
for item in v:
#####print('item', item)
stemmed_entity = nltk.word_tokenize(item, language='german')
#print('stemmed_entity2', stemmed_entity)
if containsAll(stemmed_frage, stemmed_entity) != 0:
for b in stemmed_entity:
#print('b', b)
if b in stemmed_frage:
if b in named_entities:
named_entities.remove(b)
named_entities.append('sbw_preamble')
named_entities = list(set(named_entities))
#####print('named_entities', named_entities)
# end = timeit.default_timer()
# time = end - start
# print('Zeit gebraucht:', time)
named_entities = list(set(named_entities))
named_entities = " ".join(named_entities)
named_entities = str(named_entities)
print('pruef_sbw named_entities', named_entities)
return named_entities
def pruef_kontext(frage):
# d_entity = lowercase(d_entity)
#####print(hilf_entity)
sentence_word = nltk.word_tokenize(frage)
#####print()
# generiere die Stopwörter
stop = stopwords.words('german')
ignore_words = ['?', '!', '.', ',', 'möchte', 'möchtest', 'möchten', 'brauche', 'brauch', 'frage', 'zu',
'beantragen', 'beantrag', 'beantrage', 'beantragen', 'benötige', 'brauche'] + stop
######Korrektur Schreibfehler
stemmed_frage = []
named_entities = []
for word in sentence_word:
if word not in ignore_words or word == 'was' or word == 'um' or word == 'war' or word == 'zu' or word == 'nach' or word == 'kein' or word == 'keine' or word == 'ohne' or word == 'nicht' or word == 'dein' or word == 'wann' or word == 'dort' or word == 'dahin' or word == 'tüv' or word == 'wieder' or word == 'wie' or word == 'nicht' or word == 'viel' or word == 'wo' or word == 'wann' or word == 'warum' or word == 'wieso' or word == 'wohin' or word == 'wie' or word == 'an' or word == 'sich' or word == 'sich' or word == 'welche' or word == 'welcher' or word == 'welchen' or word == 'unter' or word == 'welches' or word == 'dir' or word == 'du' or word == 'viele' or word == 'mich' or word == 'jetzt' or word == 'bei' or word == 'darf' or word == 'kann':
stemmed_frage.append(word)
#####print('stemmed_frage', stemmed_frage)
named_entities = stemmed_frage
for k, v in lebenslage_entiti.items():
#print('lebenslage_entiti.items()', lebenslage_entiti.items())
for item in v:
#####print('item', item)
stemmed_entity = nltk.word_tokenize(item, language='german')
#####print('stemmed_entity', stemmed_entity)
if containsAll(stemmed_frage, stemmed_entity) != 0:
#print('stemmed_frage', stemmed_frage)
#print('stemmed_entity', stemmed_entity)
# named_entities.append(k)
#print('named_entities', named_entities)
for b in stemmed_entity:
print('b', b)
if b in named_entities:
named_entities.remove(b)
named_entities.append('ist')
#print('named_entities2', named_entities)
named_entities = list(set(named_entities))
named_entities = ", ".join(named_entities)
named_entities = str(named_entities)
print(named_entities)
return named_entities
from HanTa import HanoverTagger as ht
def pos(frage):
named_entities = []
tokenized_sent = nltk.word_tokenize(frage, language='german')
print(tokenized_sent)
tagger = ht.HanoverTagger('morphmodel_ger.pgz')
tags = tagger.tag_sent(tokenized_sent)
print(tags)
for item in tags:
if 'NN' in item:
named_entities.append('NN')
else:
named_entities.append('')
return named_entities
def queryfrage(frage):
# tokenisiere die synonymen
queryfrage = {}
queryfrage['prefix'] = 'Ich habe folgenden Informationen für Sie gefunden: '
queryfrage['service'] = 'search'
queryfrage['original'] = frage
frageneu = hilf_entity(frage)
frageneu = ", ".join(frageneu)
frageneu = str(frageneu)
frageneu = frageneu.replace(',', '')
sentence_word = nltk.word_tokenize(frageneu)
#####print('sentence_word', sentence_word)
# generiere die Stopwörter
stop = stopwords.words('german')
ignore_words = ['?', '!', '-', '.', ',', 'mocht', 'frage', 'zu', 'beantragen', 'beantrag', 'gibt', 'beantrage',
'melden', 'beantragen', 'benötige', 'brauche'] + stop
######Korrektur Schreibfehler
sentence_words = []
for word in sentence_word:
word = word.lower()
#####print('len frage', len(frage))
#####print('len word', len(word))
# word = spell.correction(word)
if word in ignore_words and (word == 'zu'):
sentence_words.append("zu")
if word not in ignore_words or word == 'was' or word == 'um' or word == 'war' or word == 'zu' or word == 'nach' or word == 'kein' or word == 'keine' or word == 'ohne' or word == 'nicht' or word == 'dein' or word == 'wann' or word == 'dort' or word == 'dahin' or word == 'tüv' or word == 'wieder' or word == 'wie' or word == 'nicht' or word == 'viel' or word == 'wo' or word == 'wann' or word == 'warum' or word == 'wieso' or word == 'wohin' or word == 'wie' or word == 'an' or word == 'sich' or word == 'welche' or word == 'welcher' or word == 'welchen' or word == 'unter' or word == 'welches' or word == 'dir' or word == 'du' or word == 'viele' or word == 'jetzt' or word == 'mich' or word == 'bei' or word == 'darf' or word == 'kann':
# if get_entity(word) is None:
sentence_words.append(word)
# else:
# sentence_words.append(get_entity(word))
# stemme jedes Wort
frage = ''.join([str(elem) for elem in frage])
print('frage!!!!', frage)
query_word = nltk.word_tokenize(frage)
stop = stopwords.words('german')
ignore_words = ['?', '!', '-', '.', ',', 'mocht', 'frage', 'zu', 'beantragen', 'beantrag', 'gibt', 'beantrage',
'melden', 'beantragen', 'benötige', 'brauche'] + stop
######Korrektur Schreibfehler
query_words = []
for word in query_word:
word = word.lower()
# ####print('len frage', len(frage))
# ####print('len word', len(word))
#word = spell.correction(word)
if word in ignore_words and (word == 'zu'):
query_words.append("zu")
if word not in ignore_words or word == 'was' or word == 'um' or word == 'war' or word == 'zu' or word == 'nach' or word == 'kein' or word == 'keine' or word == 'ohne' or word == 'nicht' or word == 'dein' or word == 'wann' or word == 'dort' or word == 'dahin' or word == 'tüv' or word == 'wieder' or word == 'wie' or word == 'nicht' or word == 'viel' or word == 'wo' or word == 'wann' or word == 'warum' or word == 'wieso' or word == 'wohin' or word == 'wie' or word == 'an' or word == 'sich' or word == 'welche' or word == 'welcher' or word == 'welchen' or word == 'unter' or word == 'welches' or word == 'dir' or word == 'du' or word == 'viele' or word == 'jetzt' or word == 'mich' or word == 'bei' or word == 'darf' or word == 'kann':
# if get_entity(word) is None:
query_words.append(word)
if word == 'hallo' or word == 'hey' or word == 'hi' or word == 'servus' or word == 'mittag' or word == 'abend' or word == 'tag' or word == 'morgen' or word == 'grüß' or word == 'huhu' or word == 'moin' and (
len(frage) - len(word) >= 7):
# ####print('ok!!!!')
query_words.remove(word)
query_words = [word.lower() for word in query_words]
query_words = ", ".join(query_words)
query_words = str(query_words)
query_words = query_words.replace(',', '')
####print('query_words',query_words)
queryfrage['query'] = query_words
return queryfrage
def frageBearbeitung(frage):
# tokenisiere die synonymen
frage = hilf_entity(frage)
frage = ", ".join(frage)
frage = str(frage)
frage = frage.replace(',', '')
sentence_word = nltk.word_tokenize(frage)
#####print('sentence_word', sentence_word)
# generiere die Stopwörter
stop = stopwords.words('german')
ignore_words = ['?', '!', '-', '&', '.', ',', 'auf', 'können', 'kannst', 'mehr', 'erzählen', 'erzählst', 'alten',
'frau',
'toll', 'haus', 'beantragen', 'brauche', 'brauchen', 'beantrage', 'liebst', 'lieben', 'mein',
'meines', 'meins', 'meiner', 'meinem', 'meines', 'meinen', 'wurde', 'möchte', 'möchten', 'mocht',
'wurden', 'würde', 'würden', 'funktionen', 'beantragen', 'benötige', 'brauche'] + stop
######Korrektur Schreibfehler
sentence_words = []
for word in sentence_word:
word = word.lower()
#####print('len frage', len(frage))
#####print('len word', len(word))
# word = spell.correction(word)
if word in ignore_words and (word == 'zu'):
sentence_words.append("zu")
if word not in ignore_words or word == 'was' or word == 'war' or word == 'um' or word == 'zu' or word == 'nach' or word == 'kein' or word == 'keine' or word == 'ohne' or word == 'nicht' or word == 'dein' or word == 'wann' or word == 'dort' or word == 'dahin' or word == 'tüv' or word == 'wieder' or word == 'wie' or word == 'nicht' or word == 'viel' or word == 'wo' or word == 'wann' or word == 'warum' or word == 'wieso' or word == 'wohin' or word == 'wie' or word == 'an' or word == 'sich' or word == 'welche' or word == 'welcher' or word == 'welchen' or word == 'unter' or word == 'welches' or word == 'dir' or word == 'du' or word == 'viele' or word == 'jetzt' or word == 'mich' or word == 'bei' or word == 'darf' or word == 'kann':
# if get_entity(word) is None:
sentence_words.append(word)
sentence_words = [word.lower() for word in sentence_words]
print('sentence_words_frage', sentence_words)
return sentence_words
import dateparser
right_now = date.today()
def extractDateOeffnungszeit(text):
# Initialization
timex_found = []
# re.findall() finds all the substring matches, keep only the full
# matching string. Captures expressions such as 'number of days' ago, etc.
found = reg1.findall(text)
#####print('reg1')
found = [a[0] for a in found if len(a) > 1]
for timex in found:
#####print('1. reg1', timex)
timex = timex.replace('ein', '1')
timex = timex.replace('eine', '1')
timex = timex.replace('einen', '1')
timex = timex.replace('einer', '1')
timex = timex.replace('einem', '1')
timex = timex.replace('zwei', '2')
timex = timex.replace('drei', '3')
timex = timex.replace('vier', '4')
timex = timex.replace('fünf', '5')
timex = timex.replace('sechs', '6')
timex = timex.replace('sieben', '7')
timex = timex.replace('acht', '8')
timex = timex.replace('neun', '9')
timex = timex.replace('zehn', '10')
timex = timex.replace('nach', 'in')
timex1 = (dateparser.parse('in' + timex)).strftime('%d.%m.%Y')
right_now_str = date.today().strftime('%d.%m.%Y')
z00 = right_now_str
timex_found.append(z00)
timex_found.append(timex1)
# Variations of this thursday, next year, etc
# Variations of month and iso
reg8.findall(text)
#####print('reg8')
found = reg8.findall(text)
found = [a[0] for a in found if len(a) > 1]
for timex in found:
#####print('reg8', timex)
timex1 = dateparser.parse(timex).strftime('%d.%m.%Y')
z00 = dateparser.parse(timex).strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(timex1)
found = reg2.findall(text)
#####print('reg2')
found = [a[0] for a in found if len(a) > 1]
for timex in found:
#####print('reg2', timex)
if any(c in timex for c in ['nächste']):
if any(d in timex for d in ['woche']):
glanceweek = timedelta(days=6)
#####print(glanceweek)
right_now = date.today()
next_monday = next_weekday(right_now, 0).strftime('%d.%m.%Y')
next_monday_d = next_weekday(right_now, 0)
z01 = (next_monday_d + glanceweek)
z00 = next_monday
z01 = z01.strftime('%d.%m.%Y')
if any(d in timex for d in ['tag']):
glanceweek = timedelta(days=7)
#####print(glanceweek)
right_now = date.today()
next_monday = right_now.strftime('%d.%m.%Y')
z01 = (right_now + glanceweek)
z00 = next_monday
z01 = z01.strftime('%d.%m.%Y')
if any(d in timex for d in ['monat']):
timex1 = dateparser.parse('nächsten Monat').strftime('%d.%m.%Y')
day2, month2, year2 = timex1.split('.')
b = '01.'
c = '30.'
z00 = b + month2 + '.' + year2
z01 = c + month2 + '.' + year2
if any(d in timex for d in ['montag', 'Montag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 0).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 0).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['dienstag', 'Dienstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 1).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 1).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['mittwoch', 'Mittwoch']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 2).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 2).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['donnerstag', 'Donnerstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 3).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 3).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['freitag', 'Freitag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 4).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 4).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['samstag', 'Samstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 5).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 5).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['sonntag', 'Sonntag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 6).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 6).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(c in timex for c in ['diese']):
if any(d in timex for d in ['woche']):
right_now = date.today()
next_monday = right_now.strftime('%d.%m.%Y')
next_monday_d = next_weekday(right_now, 6)
z01 = next_monday_d
z00 = next_monday
z01 = z01.strftime('%d.%m.%Y')
if any(d in timex for d in ['monat']):
timex1 = dateparser.parse('diesen Monat').strftime('%d.%m.%Y')
day2, month2, year2 = timex1.split('.')
b = '01.'
c = '30.'
z00 = dateparser.parse('diesen Monat').strftime('%d.%m.%Y')
z01 = c + month2 + '.' + year2
if any(d in timex for d in ['montag', 'Montag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 0).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 0).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['dienstag', 'Dienstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 1).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 1).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['mittwoch', 'Mittwoch']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 2).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 2).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['donnerstag', 'Donnerstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 3).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 3).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['freitag', 'Freitag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 4).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 4).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['samstag', 'Samstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 5).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 5).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['sonntag', 'Sonntag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 6).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 6).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(c in timex for c in ['letzte']):
if any(d in timex for d in ['woche']):
glanceweek = timedelta(days=6)
#####print(glanceweek)
right_now = date.today()
past_monday = past_weekday(right_now, 0).strftime('%d.%m.%Y')
past_monday_d = past_weekday(right_now, 0)
z01 = (past_monday_d + glanceweek)
z00 = past_monday
z01 = z01.strftime('%d.%m.%Y')
if 'z00' in locals():
timex_found.append(z00)
else:
timex_found.append(dateparser.parse('heute').strftime('%d.%m.%Y'))
if 'z01' in locals():
timex_found.append(z01)
else:
timex_found.append(dateparser.parse('heute').strftime('%d.%m.%Y'))
found = reg5.findall(text)
#####print('reg5')
# found = [a[0] for a in found if len(a) > 1]
for timex in found:
#####print('reg5', timex)
if not timex_found == []:
timex_found.clear()
weekno = date.today().weekday()
if weekno < 5:
#####print("Weekday")
right_now = date.today()
next_samstag = next_weekday(right_now, 5)
next_sontag = next_weekday(right_now, 6)
z00 = next_samstag.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
elif weekno == 5:
#####print("Weekday")
right_now = date.today()
next_sontag = next_weekday(right_now, 6)
z00 = right_now.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
else:
#####print("Weekday")
right_now = date.today()
z00 = right_now.strftime('%d.%m.%Y')
z01 = right_now.strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(z01)
if timex_found == []:
weekno = date.today().weekday()
if weekno < 5:
#####print("Weekday")
right_now = date.today()
next_samstag = next_weekday(right_now, 5)
next_sontag = next_weekday(right_now, 6)
z00 = next_samstag.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
elif weekno == 5:
#####print("Weekday")
right_now = date.today()
next_sontag = next_weekday(right_now, 6)
z00 = right_now.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
else:
#####print("Weekday")
right_now = date.today()
z00 = right_now.strftime('%d.%m.%Y')
z01 = right_now.strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(z01)
found = reg9.findall(text)
#####print('reg9')
# found = [a[0] for a in found if len(a) > 1]
for timex in found:
#####print('reg9', timex)
if not timex_found == []:
timex_found.clear()
weekno = date.today().weekday()
if weekno < 5:
#####print("Weekday")
right_now = date.today()
next_samstag = next_weekday(right_now, 5)
next_sontag = next_weekday(right_now, 6)
z00 = next_samstag.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
elif weekno == 5:
#####print("Weekday")
right_now = date.today()
next_sontag = next_weekday(right_now, 6)
z00 = right_now.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
else:
#####print("Weekday")
right_now = date.today()
z00 = right_now.strftime('%d.%m.%Y')
z01 = right_now.strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(z01)
if timex_found == []:
weekno = date.today().weekday()
if weekno < 5:
#####print("Weekday")
right_now = date.today()
next_samstag = next_weekday(right_now, 5)
next_sontag = next_weekday(right_now, 6)
z00 = next_samstag.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
elif weekno == 5:
#####print("Weekday")
right_now = date.today()
next_sontag = next_weekday(right_now, 6)
z00 = right_now.strftime('%d.%m.%Y')
z01 = next_sontag.strftime('%d.%m.%Y')
else:
#####print("Weekday")
right_now = date.today()
z00 = right_now.strftime('%d.%m.%Y')
z01 = right_now.strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(z01)
# today, tomorrow, etc
found = reg3.findall(text)
#####print('reg3')
for timex in found:
#####print('reg3', timex)
if any(d in timex for d in ['übermorgen']):
#####print('timex', timex)
z00 = dateparser.parse('heute').strftime('%d.%m.%Y')
glanceweek = timedelta(days=2)
#####print(glanceweek)
timex1 = dateparser.parse('heute')
z01 = (timex1 + glanceweek)
z01 = z01.strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(z01)
else:
z00 = dateparser.parse(timex).strftime('%d.%m.%Y')
z01 = dateparser.parse(timex).strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(z01)
# ISO
found = reg4.findall(text)
#####print('reg4')
for timex in found:
#####print('reg4', timex)
timex1 = dateparser.parse(timex).strftime('%d.%m.%Y')
z00 = dateparser.parse(timex).strftime('%d.%m.%Y')
#####print(z00)
timex_found.append(z00)
timex_found.append(timex1)
# Dates
found = reg6.findall(text)
#####print('reg6')
found = [a[0] for a in found if len(a) > 1]
for timex in found:
#####print('reg6', timex)
timex1 = dateparser.parse(timex).strftime('%d.%m.%Y')
z00 = dateparser.parse(timex).strftime('%d.%m.%Y')
timex_found.append(z00)
timex_found.append(timex1)
found = reg7.findall(text)
#####print('reg7')
for timex in found:
#####print('reg7', timex)
if timex_found == []:
if any(d in timex for d in ['montag', 'Montag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 0).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 0).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['dienstag', 'Dienstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 1).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 1).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['mittwoch', 'Mittwoch']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 2).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 2).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['donnerstag', 'Donnerstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 3).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 3).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['freitag', 'Freitag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 4).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 4).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['samstag', 'Samstag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 5).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 5).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
if any(d in timex for d in ['sonntag', 'Sonntag']):
glanceweek = timedelta(days=7)
right_now = date.today()
next_monday = next_weekday(right_now, 6).strftime('%d.%m.%Y')
next_monday1 = next_weekday(right_now, 6).strftime('%d.%m.%Y')
z01 = next_monday1
z00 = next_monday
timex_found.append(z00)
timex_found.append(z01)
found = reg10.findall(text)
#####print('reg10')
for timex in found:
#####print('reg10', timex)
if timex_found == []:
timex1 = dateparser.parse(timex, settings={'PREFER_DAY_OF_MONTH': 'last'}).strftime('%d.%m.%Y')
z00 = dateparser.parse(timex, settings={'PREFER_DAY_OF_MONTH': 'first'}).strftime('%d.%m.%Y')
#####print(z00)
timex_found.append(z00)
timex_found.append(timex1)
# Year
# found = reg5.findall(text)
# for timex in found:
# timex_found.append(timex)
# Tag only temporal expressions which haven't been tagged.
# for timex in timex_found:
# text = re.sub(timex + '(?!)', '' + timex + '', text)
return timex_found
def named_entity_oefnungszeit(frage):
named_entity_oefnungszeit = {}
named_entities = []
termin = ""
intro = ""
frage1 = str(frage)
sentence_word = nltk.word_tokenize(frage1)
##print('sentence_word!!!', sentence_word)
# generiere die Stopwörter
stop = stopwords.words('german')
ignore_words = ['?', '!', '.', ','] + stop
######Korrektur Schreibfehler
stemmed_frage = []
for word in sentence_word:
if word == "OB":
stemmed_frage.append("oberburgermeist")
word = word.lower()
word = spell.correction(word)
if word not in ignore_words or word == 'im' or word == 'am' or word == 'um' or word == 'was' or word == 'war' or word == 'zu' or word == 'nach' or word == 'kein' or word == 'keine' or word == 'ohne' or word == 'nicht' or word == 'dein' or word == 'wann' or word == 'dort' or word == 'dahin' or word == 'tüv' or word == 'wieder' or word == 'wie' or word == 'nicht' or word == 'viel' or word == 'wo' or word == 'wann' or word == 'warum' or word == 'wieso' or word == 'wohin' or word == 'wie' or word == 'an' or word == 'sich' or word == 'welche' or word == 'welcher' or word == 'welchen' or word == 'unter' or word == 'welches' or word == 'dir' or word == 'du' or word == 'viele' or word == 'mich' or word == 'jetzt' or word == 'mich' or word == 'bei' or word == 'darf' or word == 'kann':
word = stemmer.stem(word)
stemmed_frage.append(word)
named_entities = []
for k, v in org_entiti.items():
#####print('v', v)
#####print('k', k)
for item in v:
#####print('item', item)
stemmed_entity = nltk.word_tokenize(item, language='german')
#####print('stemmed_entity', stemmed_entity)
if containsAll(stemmed_frage, stemmed_entity) != 0:
named_entities.append(k)
named_entity_oefnungszeit['service'] = 'oeffnungszeit'
if 'ziegelhaus' in stemmed_frage:
####print('Lahr')
for i in named_entities:
if 'Ziegelhausen' in i:
named_entities = []
named_entities.append(i)
####print ('Lahr', i)
if 'schlierbach' in stemmed_frage:
####print('offenburg')
for i in named_entities:
if 'Schlierbach' in i:
named_entities = []
named_entities.append(i)
####print ('offenburg', i)
if 'wiebling' in stemmed_frage:
####print('Wolfach')
for i in named_entities:
if 'Wieblingen' in i:
named_entities = []
named_entities.append(i)
####print('Wolfach', i)
if 'pfaffengrund' in stemmed_frage:
####print('Kehl')
for i in named_entities:
if 'Pfaffengrund' in i:
named_entities = []
named_entities.append(i)
####print('Kehl', i)
if 'kirchheim' in stemmed_frage:
####print('Achern')
for i in named_entities:
if 'Kirchheim' in i:
named_entities = []
named_entities.append(i)
####print('Achern', i)
if 'boxberg' in stemmed_frage:
####print('Haslach')
for i in named_entities:
if 'Boxberg' in i:
named_entities = []
named_entities.append(i)
####print('Haslach', i)
if 'emmertsgrund' in stemmed_frage:
####print('Lahr')
for i in named_entities:
if 'Emmertsgrund' in i:
named_entities = []
named_entities.append(i)
####print ('Lahr', i)
if 'rohrbach' in stemmed_frage:
####print('offenburg')
for i in named_entities:
if 'Rohrbach' in i:
named_entities = []
named_entities.append(i)
####print ('offenburg', i)
if 'neuenheim' in stemmed_frage:
####print('Wolfach')
for i in named_entities:
if 'Neuenheim' in i:
named_entities = []
named_entities.append(i)
####print('Wolfach', i)
if 'mitt' in stemmed_frage:
####print('Kehl')
for i in named_entities:
if 'Mitte' in i:
named_entities = []
named_entities.append(i)
####print('Kehl', i)
if 'bahnstadt' in stemmed_frage:
####print('Achern')
for i in named_entities:
if 'Bahnstadt' in i:
named_entities = []
named_entities.append(i)
####print('Achern', i)
if 'bergheim' in stemmed_frage:
####print('Haslach')
for i in named_entities:
if 'Bergheim' in i:
named_entities = []
named_entities.append(i)
####print('Haslach', i)
if 'sudstadt' in stemmed_frage:
####print('Lahr')
for i in named_entities:
if 'Südstadt' in i:
named_entities = []
named_entities.append(i)
####print ('Lahr', i)
if 'weststadt' in stemmed_frage:
####print('offenburg')
for i in named_entities:
if 'Weststadt' in i:
named_entities = []
named_entities.append(i)
####print ('offenburg', i)
if 'handschuhsheim' in stemmed_frage:
####print('Wolfach')
for i in named_entities:
if 'Handschuhsheim' in i:
named_entities = []
named_entities.append(i)
####print('Wolfach', i)
if 'altstadt' in stemmed_frage:
####print('Kehl')
for i in named_entities:
if 'Altstadt' in i:
named_entities = []
named_entities.append(i)
####print('Kehl', i)
if named_entities == []:
#####print("keine Org!!!")
named_entities.append('')
named_entity_oefnungszeit[
'prefix'] = 'Vielleicht ist hier was Passendes dabei: Öffnungszeiten der Stadtverwaltung '
named_entity_oefnungszeit['org'] = list(set(named_entities))
#####print('named_entity_oefnungszeit1', named_entity_oefnungszeit)
named_entity_oefnungszeit['zeit'] = extractDateOeffnungszeit(frage)
named_entity_oefnungszeit['termin'] = termin
#####print('named_entity_oefnungszeit2', named_entity_oefnungszeit)
return named_entity_oefnungszeit
def named_entity_infoort(frage):
named_entity_infoort = {}
named_entities = []
termin = ""
frage1 = str(frage)
sentence_word = nltk.word_tokenize(frage1)
##print('sentence_word!!!', sentence_word)
# generiere die Stopwörter
stop = stopwords.words('german')
ignore_words = ['?', '!', '.', ','] + stop
######Korrektur Schreibfehler
stemmed_frage = []
for word in sentence_word:
if word == "OB":
stemmed_frage.append("oberburgermeist")
word = word.lower()
word = spell.correction(word)
if word not in ignore_words or word == 'im' or word == 'am' or word == 'um' or word == 'was' or word == 'war' or word == 'zu' or word == 'nach' or word == 'kein' or word == 'keine' or word == 'ohne' or word == 'nicht' or word == 'dein' or word == 'wann' or word == 'dort' or word == 'dahin' or word == 'tüv' or word == 'wieder' or word == 'wie' or word == 'nicht' or word == 'viel' or word == 'wo' or word == 'wann' or word == 'warum' or word == 'wieso' or word == 'wohin' or word == 'wie' or word == 'an' or word == 'sich' or word == 'welche' or word == 'welcher' or word == 'welchen' or word == 'unter' or word == 'welches' or word == 'dir' or word == 'du' or word == 'viele' or word == 'mich' or word == 'jetzt' or word == 'mich' or word == 'bei' or word == 'darf' or word == 'kann':
word = stemmer.stem(word)
stemmed_frage.append(word)
named_entities = []
for k, v in org_entiti.items():
####print('v', v)
####print('k', k)
for item in v:
####print('item', item)
stemmed_entity = nltk.word_tokenize(item, language='german')
####print('stemmed_entity', stemmed_entity)
if containsAll(stemmed_frage, stemmed_entity) != 0:
named_entities.append(k)
named_entity_infoort['service'] = 'infoort'
if 'ziegelhaus' in stemmed_frage:
####print('Lahr')
for i in named_entities:
if 'Ziegelhausen' in i:
named_entities = []
named_entities.append(i)
####print ('Lahr', i)
if 'schlierbach' in stemmed_frage:
####print('offenburg')
for i in named_entities:
if 'Schlierbach' in i:
named_entities = []
named_entities.append(i)
####print ('offenburg', i)
if 'wiebling' in stemmed_frage:
####print('Wolfach')
for i in named_entities:
if 'Wieblingen' in i:
named_entities = []
named_entities.append(i)
####print('Wolfach', i)
if 'pfaffengrund' in stemmed_frage:
####print('Kehl')
for i in named_entities:
if 'Pfaffengrund' in i:
named_entities = []
named_entities.append(i)
####print('Kehl', i)
if 'kirchheim' in stemmed_frage:
####print('Achern')
for i in named_entities:
if 'Kirchheim' in i:
named_entities = []
named_entities.append(i)
####print('Achern', i)
if 'boxberg' in stemmed_frage:
####print('Haslach')
for i in named_entities:
if 'Boxberg' in i:
named_entities = []
named_entities.append(i)
####print('Haslach', i)
if 'emmertsgrund' in stemmed_frage:
####print('Lahr')
for i in named_entities:
if 'Emmertsgrund' in i:
named_entities = []
named_entities.append(i)
####print ('Lahr', i)
if 'rohrbach' in stemmed_frage:
####print('offenburg')
for i in named_entities:
if 'Rohrbach' in i:
named_entities = []
named_entities.append(i)
####print ('offenburg', i)
if 'neuenheim' in stemmed_frage:
####print('Wolfach')
for i in named_entities:
if 'Neuenheim' in i:
named_entities = []
named_entities.append(i)
####print('Wolfach', i)
if 'mitt' in stemmed_frage:
####print('Kehl')
for i in named_entities:
if 'Mitte' in i:
named_entities = []
named_entities.append(i)
####print('Kehl', i)
if 'bahnstadt' in stemmed_frage:
####print('Achern')
for i in named_entities:
if 'Bahnstadt' in i:
named_entities = []
named_entities.append(i)
####print('Achern', i)
if 'bergheim' in stemmed_frage:
####print('Haslach')
for i in named_entities:
if 'Bergheim' in i:
named_entities = []
named_entities.append(i)
####print('Haslach', i)
if 'sudstadt' in stemmed_frage:
####print('Lahr')
for i in named_entities:
if 'Südstadt' in i:
named_entities = []
named_entities.append(i)
####print ('Lahr', i)
if 'weststadt' in stemmed_frage:
####print('offenburg')
for i in named_entities:
if 'Weststadt' in i:
named_entities = []
named_entities.append(i)
####print ('offenburg', i)
if 'handschuhsheim' in stemmed_frage:
####print('Wolfach')
for i in named_entities:
if 'Handschuhsheim' in i:
named_entities = []
named_entities.append(i)
####print('Wolfach', i)
if 'altstadt' in stemmed_frage:
####print('Kehl')
for i in named_entities:
if 'Altstadt' in i:
named_entities = []
named_entities.append(i)
####print('Kehl', i)
if named_entities == []:
####print("keine Org!!!")
named_entities.append('Bürgerservice')
print('named_entity_infoort1', named_entity_infoort)
named_entity_infoort['org'] = list(set(named_entities))
named_entity_infoort['termin'] = termin
print('named_entity_infoort1', named_entity_infoort)
return named_entity_infoort
# Rückgabe bag of words array: 0 oder 1 für jedes Wort in der 'bag', die im Satz existiert
def bow(frage, words, show_details=False):
liste = frageBearbeitung(frage)
sentence_words = liste
bag = [0] * len(words)
for s in sentence_words:
for i, w in enumerate(words):
if w == s:
bag[i] = 1
if show_details:
print("found in bag: %s" % w)
return (np.array(bag))
# lade unsre gespeicherte Modell
model.load('prodae/models/model.tflearn')
# Aufbau unseres Antwortprozessors.
# Erstellen einer Datenstruktur, die den Benutzerkontext enthält
context = {}
ERROR_THRESHOLD = 0.01
def klassifizieren(frage):
# generiere Wahrscheinlichkeiten von dem Modell
results = model.predict([bow(frage, words)])[0]
# herausfiltern Vorhersagen unterhalb eines Schwellenwerts
results = [[i, r] for i, r in enumerate(results) if r > ERROR_THRESHOLD]
# nach Stärke der Wahrscheinlichkeit sortieren
results.sort(key=lambda x: x[1], reverse=True)
return_list = []
for r in results:
return_list.append((classes[r[0]], r[1]))
return return_list
def antwort(frage, userId, show_details=False):
print('Context#####', context)
d_itent = []
for itent in dialogflow['antwort_leistungen']:
try:
d_itent.append([itent['intent']])
except KeyError:
d_itent.append([itent['intent']])
d_itent = [item for sublist in d_itent for item in sublist]
if frage in d_itent:
#print('12')
next_intent = frage
results = [(next_intent, 1.0)]
#####print(results)
#####print(results[0][0])
while results:
for i in dialogflow['antwort_leistungen']:
# finde ein intent, das dem ersten Ergebnis entspricht
if i['intent'] == results[0][0]:
a = i['intent']
b = re.sub('sbw_.*?_', '', a, flags=re.DOTALL)
intent_context1 = i['intent']
context[userId] = intent_context1
ant = i['antwort']
print('ant1!!!', ant)
if not ant:
if 'sbw_kosten' in i['intent']:
ant = '
Leider kann ich Ihnen dazu keine Informationen liefern. Bitte wenden Sie sich ans Kfz-Bürgerbüro Offenburg / Führerschein
'
return ant
if 'sbw_bearbeitungsdauer' in i['intent']:
ant = '
Leider kann ich Ihnen dazu keine Informationen liefern. Bitte wenden Sie sich ans Kfz-Bürgerbüro Offenburg / Führerschein
'
return ant
if 'sbw_fristen' in i['intent']:
ant = '
Leider kann ich Ihnen dazu keine Informationen liefern. Bitte wenden Sie sich ans Kfz-Bürgerbüro Offenburg / Führerschein
'
return ant
else:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
Keine Angabe
'
return ant
if i['antwort'][0] == 'keine Angaben':
print('hier1!!!')
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
Es gibt keine Online Anträge.
'
return ant
if i['antwort'][0] == '
keine
':
print('hier1!!!')
if 'sbw_kosten' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
Diese Leistung ist kostenfrei.
'
return ant
if 'sbw_bearbeitungsdauer' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
Die Bearbeitung erfolgt sofort.
'
return ant
if 'sbw_fristen' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
Sie müssen keine Fristen beachten.
'
return ant
else:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
keine
'
return ant
if 'sbw_preamble' in i['intent']:
text = str(i['antwort'][0])
number_of_sentences = sent_tokenize(text)
print('len(number_of_sentences)', len(number_of_sentences))
if len(number_of_sentences) > 2:
sum = sum_kata(text)
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + sum + 'Genauere Informationen finden Sie hier!' + text + ' '
voice = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + sum +'
Weitere Informationen finden Sie im Textfenster
'
else:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + i['antwort'][0]
voice=ant +'
Weitere Informationen finden Sie im Textfenster
'
ant1 = ant + (
'
Welche zusätzlichen Informationen möchten Sie ansehen?
' % (
b, b, b, b, b, b, b, b, b, b))
return [ant1, voice]
if 'sbw_kosten' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice ='
Informationen zum Thema Kosten finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_voraussetzungen' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice ='
Informationen zum Thema Voraussetzungen finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_fristen' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice ='
Informationen zum Thema Fristen finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_oeffnungszeiten' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice ='
Informationen zum Thema Öffnungszeiten finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_verfahrensablauf' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice ='
Informationen zum Thema Verfahrensablauf finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_formulare' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice ='
Informationen zum Thema Online Formulare finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_bearbeitungsdauer' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice ='
Informationen zum Thema Bearbeitungsdauer finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_organisationseinheiten' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice ='
Informationen zum Thema Zuständige Stelle finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_unterlagen' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice ='
Informationen zum Thema Erforderliche Unterlagen finden Sie im Textfenster
'
return [ant, voice]
else:
print('hier2!!!')
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + i['antwort'][0]
return ant
#####print('1')
results.pop(0)
else:
#print('klassifi')
stemmed_frage = hilf_entity(frage)
if len(named_entity(stemmed_frage)) != 0:
frage=pruef_sbw(stemmed_frage)
print('fragebearb', frage)
results = klassifizieren(frage)
print('klassifiresults', results)
#print('fragebearb')
#print('stemmed_frage=hilf_entity(frage)', stemmed_frage)
#####print('13')
###print(results)
accurancy = results[0][1]
frage_test = "bgfdtgh"
#wert_accurancy = klassifizieren(frage_test)[0][1]
wert_accurancy = 0.30
print('wert_accurancy', wert_accurancy)
print('accurancy', accurancy)
#kontextliste = load_kontextliste(userId)
# #####print(results[0][0])
while results:
for i in dialogflow['dialogflow']:
# finde ein intent, das dem ersten Ergebnis entspricht
if i['intent'] == results[0][0]:
# Setze bei Bedarf Kontext für diese dialog
# Überprüfe, ob diese Inetnt kontextbezogen ist
if i['intent'] == 'lebenslage_fuehrerschein':
ant = i['antwort']
voice='
Hier erfahren Sie
wie Sie einen Führerschein erhalten können,
welche Nachweise Sie benötigen und
was Sie in diesem Zusammenhang noch alles wissen sollten.
Wählen Sie bitte die für Sie richtige Leistung
'
return [ant, voice]
if i['intent'] == 'sbw_preamble':
##print('frage', frage)
entity_sbw = named_entity(stemmed_frage)
if len(entity_sbw) > 0:
#####print('entity sbw!')
context[userId] = {}
context[userId] = 'sbw_preamble'
entity_sbw = entity_sbw.strip("''")
next_intent = context[userId] + '_' + entity_sbw
###print('next_intent_label', next_intent)
results = [(next_intent, 1.0)]
#####print(results)
#####print(results[0][0])
context[userId] = next_intent
#####print('context1:', context)
while results:
for i in dialogflow['antwort_leistungen']:
# finde ein intent, das dem ersten Ergebnis entspricht
if i['intent'] == results[0][0]:
a = i['intent']
b = re.sub('sbw_.*?_', '', a, flags=re.DOTALL)
ant = i['antwort']
text = str(i['antwort'][0])
number_of_sentences = sent_tokenize(text)
#print('len(number_of_sentences)', len(number_of_sentences))
if not ant:
ant= '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
'+ '
Keine Angabe
'
else:
text=str(i['antwort'][0])
number_of_sentences = sent_tokenize(text)
#print('len(number_of_sentences)', len(number_of_sentences))
if len(number_of_sentences)>2:
sum = sum_kata(text)
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + sum + 'Genauere Informationen finden Sie hier!'+text+' '
voice = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + sum + '
Weitere Informationen finden Sie im Textfenster
'
else:
if i['antwort'][0] == 'keine Angaben':
print('hier1!!!')
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
Es gibt keine Online Anträge.
'
else:
print('hier2!!!')
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice=ant+'
Weitere Informationen finden Sie im Textfenster
'
ant1 = ant + (
'
Welche zusätzlichen Informationen möchten Sie ansehen?
' % (
b, b, b, b, b, b, b, b, b, b))
#####print('ant', ant)
#####print('ant1', ant1)
return [ant1, voice]
results.pop(0)
else:
#####print('keine sbw_entität!!!')
#####print('keine sbw_entität und kein kontext!!!!')
#####print('accurancy', accurancy)
#####print('wert_accurancy', wert_accurancy)
#stemmed_frage= frageBearbeitung(frage)
#####print('frage!!!', stemmed_frage)
if 'fuhrerschein' in stemmed_frage:
# print('len(stemmed_frage)', len(stemmed_frage))
results = 'lebenslage_fuehrerschein'
print('resultsstemmed_frage_intent', results)
for i in dialogflow['dialogflow']:
# finde ein intent, das dem ersten Ergebnis entspricht
if i['intent'] == results:
print('stemmed_frage_intent')
ant = i['antwort']
voice = '
Hier erfahren Sie
wie Sie einen Führerschein erhalten können,
welche Nachweise Sie benötigen und
was Sie in diesem Zusammenhang noch alles wissen sollten.
Wählen Sie bitte die für Sie richtige Leistung
'
return [ant, voice]
else:
return ('
Ich bin ein Prototyp, der Ihnen verschiedene Fragen zum Thema Führerschein beantworten kann.
Um Ihnen weiterhelfen zu können, benötige ich genauere Informationen. Können Sie bitte Ihre Frage anders formulieren?
')
if 'sbw_' in i['intent']:
#print('sbw_ in i[intent]')
entity_sbw = named_entity(stemmed_frage)
if len(entity_sbw) > 0:
#####print('entity sbw!')
context[userId] = {}
context[userId] = i['intent']
##print('context[userId]', context[userId])
entity_sbw = entity_sbw.strip("''")
next_intent = context[userId] + '_' + entity_sbw
##print('next_intent_label', next_intent)
results = [(next_intent, 1.0)]
#####print(results)
#####print(results[0][0])
context[userId] = next_intent
#####print('context1:', context)
while results:
for i in dialogflow['antwort_leistungen']:
# finde ein intent, das dem ersten Ergebnis entspricht
if i['intent'] == results[0][0]:
ant = i['antwort']
if not ant:
if 'sbw_kosten' in i['intent']:
ant = '
Leider kann ich Ihnen dazu keine Informationen liefern. Bitte wenden Sie sich ans Kfz-Bürgerbüro Offenburg / Führerschein
'
return ant
if 'sbw_bearbeitungsdauer' in i['intent']:
ant = '
Leider kann ich Ihnen dazu keine Informationen liefern. Bitte wenden Sie sich ans Kfz-Bürgerbüro Offenburg / Führerschein
'
return ant
if 'sbw_fristen' in i['intent']:
ant = '
Leider kann ich Ihnen dazu keine Informationen liefern. Bitte wenden Sie sich ans Kfz-Bürgerbüro Offenburg / Führerschein
'
return ant
else:
ant = '
Leider kann ich Ihnen dazu keine Informationen liefern. Bitte wenden Sie sich ans Kfz-Bürgerbüro Offenburg / Führerschein
'
return ant
if i['antwort'][0] == 'keine Angaben':
print('hier1!!!')
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
Es gibt keine Online Anträge.
'
return ant
if i['antwort'][0] == '
keine
':
print('hier1!!!')
if 'sbw_kosten' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
Diese Leistung ist kostenfrei.
'
return ant
if 'sbw_bearbeitungsdauer' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
Die Bearbeitung erfolgt sofort.
'
return ant
if 'sbw_fristen' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
Sie müssen keine Fristen beachten.
'
return ant
else:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
keine
'
return ant
if 'sbw_kosten' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Kosten finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_voraussetzungen' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Voraussetzungen finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_fristen' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Fristen finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_oeffnungszeiten' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Öffnungszeiten finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_verfahrensablauf' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Verfahrensablauf finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_formulare' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Online Formulare finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_bearbeitungsdauer' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Bearbeitungsdauer finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_organisationseinheiten' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Zuständige Stelle finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_unterlagen' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Erforderliche Unterlagen finden Sie im Textfenster
'
return [ant, voice]
else:
print('hier2!!!')
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + i['antwort'][
0]
return ant
return ant
results.pop(0)
if len(entity_sbw) == 0:
print('keine sbw_entitäterfedferdf!!!')
#print('userId', context[userId])
stemmed_frage = frageBearbeitung(frage)
if userId in context and 'sbw_' in context[userId]:
print('sbw_ in context keine sbw_entitäterfedferdf!!!')
frage_neu = pruef_kontext(frage)
print('frage_neu', frage_neu)
post = pos(frage_neu)
print('ueberpruefung_kontext', pos)
###print('frage!', stemmed_frage)
if 'fuhrerschein' in stemmed_frage:
# print('len(stemmed_frage)', len(stemmed_frage))
results = 'lebenslage_fuehrerschein'
print('resultsstemmed_frage_intent', results)
for i in dialogflow['dialogflow']:
# finde ein intent, das dem ersten Ergebnis entspricht
if i['intent'] == results:
print('stemmed_frage_intent')
ant = i['antwort']
voice = '
Hier erfahren Sie
wie Sie einen Führerschein erhalten können,
welche Nachweise Sie benötigen und
was Sie in diesem Zusammenhang noch alles wissen sollten.
Wählen Sie bitte die für Sie richtige Leistung
'
return [ant, voice]
if 'NN' in post:
if i['intent'] == 'sbw_oeffnungszeiten' and accurancy >0.28:
ant = "
Informationen zum Thema Öffnungszeiten finden Sie im Textfenster
'
return [ant, voice]
else:
return ('
Ich bin ein Prototyp, der Ihnen verschiedene Fragen zum Thema Führerschein beantworten kann.
Um Ihnen weiterhelfen zu können, benötige ich genauere Informationen. Können Sie bitte Ihre Frage anders formulieren?
')
else:
a = context[userId]
label = re.sub('sbw_.*?_', '', a, flags=re.DOTALL)
next_intent = i['intent'] + '_' + label
print('next_intent_label', next_intent)
results = [(next_intent, 1.0)]
print(results)
print(results[0][0])
context[userId] = next_intent
print('context1:', context)
while results:
for i in dialogflow['antwort_leistungen']:
# finde ein intent, das dem ersten Ergebnis entspricht
if i['intent'] == results[0][0]:
# Setze bei Bedarf Kontext für diese dialog
ant = i['antwort']
print('ant', ant)
if not ant:
if 'sbw_kosten' in i['intent']:
ant = '
Leider kann ich Ihnen dazu keine Informationen liefern. Bitte wenden Sie sich ans Kfz-Bürgerbüro Offenburg / Führerschein
'
return ant
if 'sbw_bearbeitungsdauer' in i['intent']:
ant = '
Leider kann ich Ihnen dazu keine Informationen liefern. Bitte wenden Sie sich ans Kfz-Bürgerbüro Offenburg / Führerschein
'
return ant
if 'sbw_fristen' in i['intent']:
ant = '
Leider kann ich Ihnen dazu keine Informationen liefern. Bitte wenden Sie sich ans Kfz-Bürgerbüro Offenburg / Führerschein
'
return ant
else:
ant = '
Leider kann ich Ihnen dazu keine Informationen liefern. Bitte wenden Sie sich ans Kfz-Bürgerbüro Offenburg / Führerschein
'
return ant
if i['antwort'][0] == 'keine Angaben':
print('hier1!!!')
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
Es gibt keine Online Anträge.
'
return ant
if i['antwort'][0] == '
keine
':
print('hier1!!!')
if 'sbw_kosten' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
Diese Leistung ist kostenfrei.
'
return ant
if 'sbw_bearbeitungsdauer' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
Die Bearbeitung erfolgt sofort.
'
return ant
if 'sbw_fristen' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
Sie müssen keine Fristen beachten.
'
return ant
else:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + '
keine
'
return ant
if 'sbw_kosten' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Kosten finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_voraussetzungen' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Voraussetzungen finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_fristen' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Fristen finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_oeffnungszeiten' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Öffnungszeiten finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_verfahrensablauf' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Verfahrensablauf finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_formulare' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Online Formulare finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_bearbeitungsdauer' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Bearbeitungsdauer finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_organisationseinheiten' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Zuständige Stelle finden Sie im Textfenster
'
return [ant, voice]
if 'sbw_unterlagen' in i['intent']:
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][0]
voice = '
Informationen zum Thema Erforderliche Unterlagen finden Sie im Textfenster
'
return [ant, voice]
else:
print('hier2!!!')
ant = '
Ich habe folgende Informationen auf dem Portal service-bw für Sie gefunden:
' + \
i['antwort'][
0]
return ant
return ant
results.pop(0)
else:
#print('keine sbw_entität und kein kontext!!!!')
if i['intent'] == 'sbw_organisationseinheiten' and accurancy > float(wert_accurancy):
ant = "
\n
\n\n
\n
\n
Kfz-Bürgerbüro / Führerschein
\n
\n
Badstraße 20
\n
Offenburg
\n
Telefon: 0781 805 9495
\n
\n
\n
"
voice = '
Informationen zum Thema Zuständige Stelle finden Sie im Textfenster
'
return [ant, voice]
if i['intent'] == 'sbw_oeffnungszeiten' and accurancy > float(wert_accurancy):
ant = "
Informationen zum Thema Öffnungszeiten finden Sie im Textfenster
'
return [ant, voice]
if 'fuhrerschein' in stemmed_frage:
# print('len(stemmed_frage)', len(stemmed_frage))
results = 'lebenslage_fuehrerschein'
print('resultsstemmed_frage_intent', results)
for i in dialogflow['dialogflow']:
# finde ein intent, das dem ersten Ergebnis entspricht
if i['intent'] == results:
print('stemmed_frage_intent')
ant = i['antwort']
voice = '
Hier erfahren Sie
wie Sie einen Führerschein erhalten können,
welche Nachweise Sie benötigen und
was Sie in diesem Zusammenhang noch alles wissen sollten.
Wählen Sie bitte die für Sie richtige Leistung
'
return [ant, voice]
else:
if 'fuhrerschein' in stemmed_frage:
# print('len(stemmed_frage)', len(stemmed_frage))
results = 'lebenslage_fuehrerschein'
print('resultsstemmed_frage_intent', results)
for i in dialogflow['dialogflow']:
# finde ein intent, das dem ersten Ergebnis entspricht
if i['intent'] == results:
print('stemmed_frage_intent')
ant = i['antwort']
voice = '
Hier erfahren Sie
wie Sie einen Führerschein erhalten können,
welche Nachweise Sie benötigen und
was Sie in diesem Zusammenhang noch alles wissen sollten.
Wählen Sie bitte die für Sie richtige Leistung
'
return [ant, voice]
else:
return ('
Ich bin ein Prototyp, der Ihnen verschiedene Fragen zum Thema Führerschein beantworten kann.
Um Ihnen weiterhelfen zu können, benötige ich genauere Informationen. Können Sie bitte Ihre Frage anders formulieren?
')
if 'kontext' in i:
#####print('11111')
if show_details: print('context1111:', i['kontext'])
context[userId] = i['kontext']
#####print(context)
if i['intent'] == 'adresse_infoorte' and accurancy < float(wert_accurancy):
if 'fuhrerschein' in stemmed_frage:
# print('len(stemmed_frage)', len(stemmed_frage))
results = 'lebenslage_fuehrerschein'
print('resultsstemmed_frage_intent', results)
for i in dialogflow['dialogflow']:
# finde ein intent, das dem ersten Ergebnis entspricht
if i['intent'] == results:
print('stemmed_frage_intent')
ant = i['antwort']
voice = '
Hier erfahren Sie
wie Sie einen Führerschein erhalten können,
welche Nachweise Sie benötigen und
was Sie in diesem Zusammenhang noch alles wissen sollten.
Wählen Sie bitte die für Sie richtige Leistung
'
return [ant, voice]
else:
return ('
Ich bin ein Prototyp, der Ihnen verschiedene Fragen zum Thema Führerschein beantworten kann.
Um Ihnen weiterhelfen zu können, benötige ich genauere Informationen. Können Sie bitte Ihre Frage anders formulieren?
')
if i['intent'] == 'smalltalk_uhrzeit':
print('Uhrzeit')
ant = datetime.now().strftime('%H:%M:%S')
return (ant)
if i['intent'] == 'smalltalk_datum':
#####print('Datum')
ant = date.today().strftime('%d.%m.%Y')
return (ant)
if not 'kontextpruefung' in i or \
(userId in context and 'kontextpruefung' in i and i['kontextpruefung'] == context[userId]):
####print('if not kontextpruefung in i or userId in context and kontextpruefung in i and i[kontextpruefung] == context[userId]')
#####print(context)
#####print(i['intent'])
if 'kontextneu' in i:
#####print('3')
context[userId] = i['kontextneu']
if show_details: print('context2:', i['kontextneu'])
return random.choice(i['antwort'])
if not 'kontextpruefung' in i:
if 'smalltalk_' in i['intent'] and accurancy>float(wert_accurancy):
####print('smalltalk!')
return random.choice(i['antwort'])
if accurancy > float(wert_accurancy):
#####print('accurancy', accurancy)
#####print('float(wert_accurancy)', float(wert_accurancy))
####print('2.1')
#####print(context)
ant = random.choice(i['antwort'])
return ant
if accurancy <= float(wert_accurancy):
#####print('2.2')
#####print(context)
return ('
Ich bin ein Prototyp, der Ihnen verschiedene Fragen zum Thema Führerschein beantworten kann.
Um Ihnen weiterhelfen zu können, benötige ich genauere Informationen. Können Sie bitte Ihre Frage anders formulieren?
')
ant = random.choice(i['antwort'])
return ant
if not userId in context and 'kontextpruefung' in i:
####print('if not userId in context and kontextpruefung in i')
# #####print('kontextpruefung1:', i['kontextpruefung'])
if show_details: print('intent:', i['intent'])
# generiere eine zufällige Antwort von dem dialog
if 'kontextneu' in i:
#####print('3')
context[userId] = i['kontextneu']
if show_details: print('context2:', i['kontextneu'])
if accurancy <= float(wert_accurancy):
####print('2.2')
#####print(context)
return ('
Ich bin ein Prototyp, der Ihnen verschiedene Fragen zum Thema Führerschein beantworten kann.
Um Ihnen weiterhelfen zu können, benötige ich genauere Informationen. Können Sie bitte Ihre Frage anders formulieren?
')
if accurancy > float(wert_accurancy):
#####print('accurancy', accurancy)
#####print('float(wert_accurancy)', float(wert_accurancy))
#####print('2.1')
#####print(context)
ant = random.choice(i['antwort'])
return ant
if userId in context and 'kontextpruefung' in i and i['kontextpruefung'] != context[userId]:
####print('if userId in context and kontextpruefung in i and i[kontextpruefung] != context[userId]')
#####print('4')
# #####print('kontextpruefung1:', i['kontextpruefung'])
if show_details: print('intent:', i['intent'])
# generiere eine zufällige Antwort von dem dialog
if 'kontextneu' in i:
#####print('3')
context[userId] = i['kontextneu']
if show_details: print('context2:', i['kontextneu'])
if accurancy <= float(wert_accurancy):
####print('2.2')
#####print(context)
return ('
Ich bin ein Prototyp, der Ihnen verschiedene Fragen zum Thema Führerschein beantworten kann.
Um Ihnen weiterhelfen zu können, benötige ich genauere Informationen. Können Sie bitte Ihre Frage anders formulieren?
')
if accurancy > float(wert_accurancy):
#####print('accurancy', accurancy)
#####print('float(wert_accurancy)', float(wert_accurancy))
####print('2.1')
#####print(context)
ant = random.choice(i['antwort'])
return ant
results.pop(0)