from flask_jwt_extended import jwt_required, get_current_user
from flask_restplus import Namespace, Resource, fields
from nleaser.api.error_handler import error_handler
from nleaser.api.request_models import get_tasks_response_model, tasks_model
from nleaser.api.request_models.ngram_models import post_model, post_response_model, get_response_model, \
delete_response_model, ngram_model, get_model
from nleaser.models.nlp_extracted_data.ngrams import ExtractedNGramsSchema
from nleaser.models.tasks.ngrams.create import NGramsCreateTaskSchema
from nleaser.sources.logger import create_logger
from nleaser.sources.ngrams import NGramsService
from nleaser.sources.tasks.ngrams.create import NGramsCreateTaskService
logger = create_logger(__name__)
ns_ngrams = Namespace(
"NGrams",
"Namespace para extrair, paginar e excluir NGrams dos conjuntos de dados")
# POST
create_ngram_response_model = ns_ngrams.model("create_ngram_response_model",
post_response_model)
# GET
get_ngram_response_model = get_response_model.copy()
get_ngram_response_model["ngrams"] = fields.Nested(ns_ngrams.model(
"ngram_model", ngram_model),
as_list=True)
get_ngram_response_model = ns_ngrams.model("get_ngram_response_model",
get_ngram_response_model)
# DELETE
from nleaser.models import connect_db
from nleaser.sources.logger import create_logger
from workers.wordcloud_create import wordcloud_create_consumer
logger = create_logger("wordcloud_create")
if __name__ == '__main__':
import time
import logging
from nleaser.sources.rabbit.consumer import RabbitConsumer
while True:
connect_db()
pika_logger = logging.getLogger("pika")
pika_logger.setLevel(logging.ERROR)
try:
logger.info("Conectando ao rabbitmq")
consumer = RabbitConsumer("NLEaser.wordcloud_create")
logger.info("Consumindo")
consumer.consume(wordcloud_create_consumer, auto_ack=False, prefetch=1)
except Exception as e:
logger.error("Erro ao consumir mensagem", exc_info=True)
time.sleep(5)
from nleaser.models import connect_db
from nleaser.sources.logger import create_logger
from nleaser.sources.rabbit.consumer import RabbitConsumer
from workers.ner_extract import ner_resume_create_consumer
logger = create_logger("ner_extract")
if __name__ == '__main__':
import logging
import time
while True:
connect_db()
pika_logger = logging.getLogger("pika")
pika_logger.setLevel(logging.ERROR)
try:
logger.info("Conctando ao RabbitMQ")
consumer = RabbitConsumer("NLEaser.ner_resume_create")
logger.info("Consumindo")
consumer.consume(ner_resume_create_consumer,
auto_ack=False,
prefetch=1,
long_time_process=True)
except Exception as e:
logger.error("Erro ao consumir mensagem", exc_info=True)
time.sleep(5)
from nleaser.models import connect_db
from nleaser.sources.logger import create_logger
from workers.sentence_import import sentence_preprocessor_consumer
logger = create_logger("sentence_import")
if __name__ == '__main__':
import time
import logging
from nleaser.sources.rabbit.consumer import RabbitConsumer
while True:
connect_db()
pika_logger = logging.getLogger("pika")
pika_logger.setLevel(logging.ERROR)
try:
logger.info("Conectando ao rabbitmq")
consumer = RabbitConsumer("NLEaser.sentence_import")
logger.info("Consumindo")
consumer.consume(sentence_preprocessor_consumer,
auto_ack=False,
prefetch=1)
except Exception as e:
logger.error("Erro ao consumir mensagem", exc_info=True)
time.sleep(5)
from nleaser.models import connect_db
from nleaser.sources.logger import create_logger
from workers.ngrams_create import ngram_create_consumer
logger = create_logger("ngrams_create")
if __name__ == '__main__':
import logging
import time
from nleaser.sources.rabbit.consumer import RabbitConsumer
while True:
connect_db()
pika_logger = logging.getLogger("pika")
pika_logger.setLevel(logging.ERROR)
try:
logger.info("Conectando ao RabbitMQ")
consumer = RabbitConsumer("NLEaser.ngrams_create")
logger.info("Consumindo")
consumer.consume(ngram_create_consumer, auto_ack=False, prefetch=1)
except Exception as e:
logger.error("Erro ao consumir mensagem", exc_info=True)
time.sleep(5)
