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https://github.com/magnum-opus-nn-cp/backend.git
synced 2024-12-04 04:33:44 +03:00
updated doc process
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commit
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@ -52,7 +52,7 @@ class UpdateTextDescriptionApiView(generics.GenericAPIView):
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def get(self, request, *args, **kwargs):
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type = self.request.query_params.get("type")
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text = get_object_or_404(Text, id=self.kwargs["id"])
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run_mth = ["f", "bert"]
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run_mth = ["f", "bert", "nearest"]
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if type in run_mth:
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run_mth = [type]
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@ -71,8 +71,14 @@ def get(self, request, *args, **kwargs):
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re = requests.post(ML_HOST + "tfidf/describe", json={"data": text.text})
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if re.status_code == 200:
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text.description["f"]["text"] = re.json()["text"]
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if "nearest" not in text.description and "nearest" in run_mth:
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e = True
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text.description["nearest"] = {}
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text.description["nearest"]["text"] = text.score["nearest"]["detailed"]
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text.score["nearest"]["detailed"] = ""
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if e:
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text.save(update_fields=["description"])
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text.save(update_fields=["description", "score"])
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else:
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text.description = {}
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@ -87,5 +93,10 @@ def get(self, request, *args, **kwargs):
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re = requests.post(ML_HOST + "tfidf/describe", json={"data": text.text})
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if re.status_code == 200:
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text.description["f"]["text"] = re.json()["text"]
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text.save(update_fields=["description"])
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if "nearest" in run_mth:
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text.description["nearest"] = {}
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text.description["nearest"]["text"] = text.score["nearest"]["detailed"]
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text.score["nearest"]["detailed"] = ""
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text.save(update_fields=["description", "score"])
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return Response(data=ProcessedTextSerializer().to_representation(instance=text))
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@ -20,26 +20,39 @@ def create_highlighted_document(pk: int, var: str) -> str:
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text = Text.objects.get(pk=pk).description[var]["text"]
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document = Document()
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p = document.add_paragraph()
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for e in [[y.split(">") for y in x.split("<")] for x in text.split("<span ")]:
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if len(e) == 1:
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run = p.add_run()
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run.add_text(e[0][0])
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else:
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for k, v in e:
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if "data-value" in k:
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if v:
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run = p.add_run()
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run.add_text(v)
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w = float(k.split("=")[-1].replace('"', ""))
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tag = run._r
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run.font.size = Pt(11)
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shd = OxmlElement("w:shd")
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shd.set(qn("w:fill"), to_rgb(cmap(w)))
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tag.rPr.append(shd)
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else:
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if v:
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run = p.add_run()
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run.add_text(v)
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if var == "nearest":
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for el in text:
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w = el["features"][1] / 100 - 0.00001
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v = el["text"]
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if v:
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run = p.add_run()
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run.add_text(v)
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tag = run._r
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run.font.size = Pt(11)
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shd = OxmlElement("w:shd")
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shd.set(qn("w:fill"), to_rgb(cmap(w)))
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tag.rPr.append(shd)
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else:
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for e in [[y.split(">") for y in x.split("<")] for x in text.split("<span ")]:
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if len(e) == 1:
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run = p.add_run()
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run.add_text(e[0][0])
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else:
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for k, v in e:
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if "data-value" in k:
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if v:
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run = p.add_run()
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run.add_text(v)
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w = float(k.split("=")[-1].replace('"', ""))
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tag = run._r
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run.font.size = Pt(11)
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shd = OxmlElement("w:shd")
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shd.set(qn("w:fill"), to_rgb(cmap(w)))
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tag.rPr.append(shd)
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else:
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if v:
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run = p.add_run()
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run.add_text(v)
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f = settings.MEDIA_ROOT + f"/docx/{pk}_{randint(1, 1000)}.docx"
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document.save(f)
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return f.replace(settings.MEDIA_ROOT, "/media")
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@ -1,8 +1,10 @@
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import subprocess
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from time import sleep
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import requests
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import textract
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from celery import shared_task
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from django.conf import settings
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from press_release_nl.processor.models import Entry, Text
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from press_release_nl.processor.services import create_highlighted_document
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@ -41,16 +43,24 @@ def run_ml(pk: int, f=True):
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for text in entry.texts.all():
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re_bert = requests.post(ML_HOST + "bert/process", json={"data": text.text})
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re_tf = requests.post(ML_HOST + "tfidf/process", json={"data": text.text})
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re_nearest = requests.post(
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ML_HOST + "nearest/nearest", json={"data": text.text}
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)
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if re_bert.status_code != 200:
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print(re_bert.status_code, "bert")
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continue
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if re_tf.status_code != 200:
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print(re_tf.status_code, "tf-idf")
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continue
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if re_nearest.status_code != 200:
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print(re_nearest.status_code, "nearest")
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continue
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text.refresh_from_db()
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text.score = {
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"bert": re_bert.json(),
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"f": re_tf.json(),
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"nearest": re_nearest.json(),
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}
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text.save(update_fields=["score"])
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return pk
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@ -78,7 +88,28 @@ def load_text_sum(pk: int):
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@shared_task
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def run_create_highlighted_document(pk: int, var: str):
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text = Text.objects.get(pk=pk)
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if "file" in text.description[var]:
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return
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file_path = create_highlighted_document(pk, var)
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text.description[var]["file"] = file_path
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text.save()
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convert_to_pdf.apply_async(kwargs={"pk": pk, "var": var}, countdown=1)
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return pk
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@shared_task
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def convert_to_pdf(pk: int, var: str):
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text = Text.objects.get(pk=pk)
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if "pdf" in text.description[var]:
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return
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file_path = text.description[var]["file"]
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subprocess.run(
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"libreoffice --headless --convert-to pdf --outdir".split(" ")
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+ [
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settings.MEDIA_ROOT + "/pdf",
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settings.MEDIA_ROOT.replace("/media", "") + file_path,
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]
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)
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f_path = "/media/pdf/" + file_path.split("/")[-1].replace("docx", "pdf")
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text.description[var]["pdf"] = f_path
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text.save()
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