backend/press_release_nl/processor/tasks.py

69 lines
1.8 KiB
Python

from time import sleep
import requests
import textract
from celery import shared_task
from press_release_nl.processor.models import Entry, Text
ML_HOST = "http://192.168.107.95:8000/"
ML_SUM_HOST = "https://dev.akarpov.ru/"
@shared_task
def load_text(pk: int):
text = Text.objects.get(pk=pk)
if not text.text:
text.text = textract.process(
text.file.path, encoding="unicode_escape", language="rus"
).decode()
text.save()
if not text.text:
text.delete()
return
@shared_task
def run_ml(pk: int, f=True):
try:
entry = Entry.objects.get(pk=pk)
except Entry.DoesNotExist:
return
if entry.texts.filter(text__isnull=True).exists():
sleep(10)
for text in entry.texts.all():
re_bert = requests.post(ML_HOST + "bert/process", json={"data": text.text})
re_tf = requests.post(ML_HOST + "tfidf/process", json={"data": text.text})
if re_bert.status_code != 200:
print(re_bert.status_code, "bert")
continue
if re_tf.status_code != 200:
print(re_tf.status_code, "tf-idf")
continue
text.refresh_from_db()
text.score = {
"bert": re_bert.json(),
"f": re_tf.json(),
}
text.save(update_fields=["score"])
return pk
@shared_task
def load_text_sum(pk: int):
try:
text = Text.objects.get(pk=pk)
except Text.DoesNotExist:
return
if not text.text:
sleep(3)
text.refresh_from_db()
re = requests.post(ML_SUM_HOST, json={"body": text.text})
if re.status_code != 200:
raise ValueError(re.status_code)
data = re.json()
text.refresh_from_db()
text.summery = str(data)
text.save(update_fields=["summery"])
return pk