forked from enviPath/enviPy
jebus
5477b5b3d4
Fixes #89 Co-authored-by: Tim Lorsbach <tim@lorsba.ch> Reviewed-on: enviPath/enviPy#92
87 lines
2.1 KiB
Python
87 lines
2.1 KiB
Python
import logging
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from typing import Optional
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from celery.signals import worker_process_init
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from celery import shared_task
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from epdb.models import Pathway, Node, Edge, EPModel, Setting
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from epdb.logic import SPathway
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from utilities.chem import FormatConverter
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logger = logging.getLogger(__name__)
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@shared_task(queue='background')
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def mul(a, b):
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return a * b
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@shared_task(queue='predict')
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def predict_simple(model_pk: int, smiles: str):
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mod = EPModel.objects.get(id=model_pk)
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res = mod.predict(smiles)
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return res
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@shared_task(queue='background')
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def send_registration_mail(user_pk: int):
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pass
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@shared_task(queue='model')
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def build_model(model_pk: int):
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mod = EPModel.objects.get(id=model_pk)
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mod.build_dataset()
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mod.build_model()
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@shared_task(queue='model')
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def evaluate_model(model_pk: int):
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mod = EPModel.objects.get(id=model_pk)
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mod.evaluate_model()
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@shared_task(queue='model')
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def retrain(model_pk: int):
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mod = EPModel.objects.get(id=model_pk)
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mod.retrain()
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@shared_task(queue='predict')
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def predict(pw_pk: int, pred_setting_pk: int, limit: Optional[int] = None, node_pk: Optional[int] = None) -> Pathway:
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pw = Pathway.objects.get(id=pw_pk)
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setting = Setting.objects.get(id=pred_setting_pk)
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pw.kv.update(**{'status': 'running'})
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pw.save()
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try:
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# regular prediction
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if limit is not None:
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spw = SPathway(prediction_setting=setting, persist=pw)
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level = 0
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while not spw.done:
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spw.predict_step(from_depth=level)
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level += 1
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# break in case we are in incremental mode
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if limit != -1:
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if level >= limit:
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break
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elif node_pk is not None:
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n = Node.objects.get(id=node_pk, pathway=pw)
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spw = SPathway.from_pathway(pw)
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spw.predict_step(from_node=n)
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else:
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raise ValueError("Neither limit nor node_pk given!")
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except Exception as e:
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pw.kv.update({'status': 'failed'})
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pw.save()
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raise e
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pw.kv.update(**{'status': 'completed'})
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pw.save() |