Use .melt_tagger several times

[JulienDrochon]

Hello,

i use melt_tagger in a class. The sentence to analyze is sent with socketio

import spacy
import sys
import random
from spacy_lefff import LefffLemmatizer, POSTagger
import socketio

class SomeClass():
    def __init__(self):
        self.nlp = spacy.load('fr')
        self.pos = POSTagger()  # comments in console
        self.french_lemmatizer = LefffLemmatizer(
            after_melt=True, default=False)
        self.nlp.add_pipe(self.pos, name='pos', after='parser')
        self.nlp.add_pipe(self.french_lemmatizer, name='lefff', after='pos')

    def analyze(self, param1):
        self.doc = self.nlp(param1)
        for d in self.doc:
            print(d.text, d.pos_, d._.melt_tagger)

# --- Socket

sio = socketio.Client()

@sio.on('connect', namespace='/test')
def on_connect():
    print('--> connection established')


@sio.on('disconnect', namespace='/test')
def on_disconnect():
    print('--> disconnected from server')


@sio.on('myevent', namespace='/test')
def on_message(data):
    print(' Received message : ',  data['spoken'])
    obj1.analyze(data['spoken'])

sio.connect('http://localhost:7000', namespaces=['/test'])

obj1 = SomeClass()

sio.wait()

On the first try with data[''spoken"] equals to 'les carottes et les radis sont des légumes',
the console prints :

 Received message : {'spoken': ' les carottes et les radis sont des légumes'}
2019-09-04 12:43:21,766 - spacy_lefff.melt_tagger - INFO -   TAGGER: POS Tagging...
les DET DET
carottes NOUN NC
et CCONJ CC
les DET DET
radis NOUN NC
sont AUX V
des DET DET
légumes NOUN NC

The next tries print in console :

Received message : {'spoken': ' les carottes et les radis sont des légumes'}
2019-09-04 12:43:27,007 - spacy_lefff.melt_tagger - INFO -   TAGGER: POS Tagging...
les DET None
carottes NOUN None
et CCONJ None
les DET None
radis NOUN None
sont AUX None
des DET None
légumes NOUN None

d.text, d.pos_ work on every request, melt_taggerdoesn't.

[sammous]

Hi,
Probably comes from the use of socketio, I would have to investigate to exactly understand why.