def normalize_db(self, data):
try:
news = QueryNewsModel.objects.get(
id=data['id']
)
news.update(
version=data.get('version', news.version),
title=data.get('title', news.title),
content=data.get('content', news.content),
author=data.get('author', news.author),
published_at=data.get('published_at', news.published_at),
tags=data.get('tags', news.tags),
)
news.reload()
except mongoengine.DoesNotExist:
QueryNewsModel(
id=data['id'],
version=data['version'],
title=data.get('title'),
content=data.get('content'),
author=data.get('author'),
tags=data.get('tags'),
).save()
except Exception as e:
return e
id=data['id']
)
news.update(
version=data.get('version', news.version),
title=data.get('title', news.title),
content=data.get('content', news.content),
author=data.get('author', news.author),
published_at=data.get('published_at', news.published_at),
tags=data.get('tags', news.tags),
)
news.reload()
except mongoengine.DoesNotExist:
QueryNewsModel(
id=data['id'],
version=data['version'],
title=data.get('title'),
content=data.get('content'),
author=data.get('author'),
tags=data.get('tags'),
).save()
except Exception as e:
return e
#crear los puntos de acceso para los datos de QueryStack. Primero, cree la búsqueda de ID. Escribamos un método get_news que tenga un decorador RPC de Nameko. Dentro del método get_news, no hay complejidad; simplemente usaremos MongoEngine para buscar Noticias usando el ID único como referencia
@rpc
def get_news(self, id):
try:
news = QueryNewsModel.objects.get(id=id)
return news.to_json()
except mongoengine.DoesNotExist as e:
return e
except Exception as e: