如何从函数创建服务?
How to create a service from a function?
我想使用 Django Rest 创建服务 API。我有一个功能。这个函数的结果应该 return 2 个值,我应该 return 这些值 JSON API 格式。
该功能将像这样工作。我将接收 features_list
作为参数,我将使用它来创建结果并将其显示为 def prediction
函数中 json 格式的服务。
我创建了一个示例 API(我猜)它在我看来是 class PredictionSet
但实际上我想在我看来提供服务 def prediction
功能。
我不明白如何应用它。我感到很困惑。任何帮助将不胜感激。
models.py
class Liquidity(models.Model):
pred_y = models.CharField(max_length=600)
score = models.FloatField()
views.py
class PredictionSet(viewsets.ModelViewSet):
queryset = Liquidity.objects.all()
serializer_class = LiquiditySerializer
def prediction(request, features_list):
filename = config.FINAL_MODEL_PATH
classifier = pickle.load(open(filename, 'rb'))
scale_file = config.SCALER_PATH
scaler = pickle.load(open(scale_file, 'rb'))
sample = np.array(features_list).reshape(1, -1)
sample_scaled = scaler.transform(sample)
pred_y = classifier.predict(sample_scaled)
prob_y = classifier.predict_proba(sample_scaled)
if prob_y[0][1] < 0.5:
score = 0
elif prob_y[0][1] <= 0.69:
score = 1
else:
score = 2
pred_y = pred_y[0]
prediction_obj = Liquidity.objects.get_or_create(pred_y=pred_y, score=score)
prediction_result = prediction_obj.pred_y
prediction_score = prediction_obj.score
context = {
'prediction_result ': prediction_result,
'prediction_score ': prediction_score,
}
return context
serializer.py
class LiquiditySerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Liquidity
fields = '__all__'
如果您想从 DRF 中的 ModelViewset
return 自定义 JSON,您可以覆盖 .list()
and/or .retrieve()
像这样:
from rest_framework import status
from rest_framework.response import Response
class PredictionSet(viewsets.ModelViewSet):
queryset = Liquidity.objects.all()
serializer_class = LiquiditySerializer
# Your custom function definition
def prediction(self, request, features_list):
# The content
def retrieve(self, request, *args, **kwargs):
result = prediction(...) # Call your custom service and got result
# Return the result as JSON (url = /api/v1/predictions/1) an object
return Response({'data': result}, status=status.HTTP_200_OK)
def list(self, request, *args, **kwargs):
result = prediction(...) # Call your custom service and got result
# Return the result as JSON (url = /api/v1/predictions) a list of objects
return Response({'data': result}, status=status.HTTP_200_OK)
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我想使用 Django Rest 创建服务 API。我有一个功能。这个函数的结果应该 return 2 个值,我应该 return 这些值 JSON API 格式。
该功能将像这样工作。我将接收 features_list
作为参数,我将使用它来创建结果并将其显示为 def prediction
函数中 json 格式的服务。
我创建了一个示例 API(我猜)它在我看来是 class PredictionSet
但实际上我想在我看来提供服务 def prediction
功能。
我不明白如何应用它。我感到很困惑。任何帮助将不胜感激。
models.py
class Liquidity(models.Model):
pred_y = models.CharField(max_length=600)
score = models.FloatField()
views.py
class PredictionSet(viewsets.ModelViewSet):
queryset = Liquidity.objects.all()
serializer_class = LiquiditySerializer
def prediction(request, features_list):
filename = config.FINAL_MODEL_PATH
classifier = pickle.load(open(filename, 'rb'))
scale_file = config.SCALER_PATH
scaler = pickle.load(open(scale_file, 'rb'))
sample = np.array(features_list).reshape(1, -1)
sample_scaled = scaler.transform(sample)
pred_y = classifier.predict(sample_scaled)
prob_y = classifier.predict_proba(sample_scaled)
if prob_y[0][1] < 0.5:
score = 0
elif prob_y[0][1] <= 0.69:
score = 1
else:
score = 2
pred_y = pred_y[0]
prediction_obj = Liquidity.objects.get_or_create(pred_y=pred_y, score=score)
prediction_result = prediction_obj.pred_y
prediction_score = prediction_obj.score
context = {
'prediction_result ': prediction_result,
'prediction_score ': prediction_score,
}
return context
serializer.py
class LiquiditySerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = Liquidity
fields = '__all__'
如果您想从 DRF 中的 ModelViewset
return 自定义 JSON,您可以覆盖 .list()
and/or .retrieve()
像这样:
from rest_framework import status
from rest_framework.response import Response
class PredictionSet(viewsets.ModelViewSet):
queryset = Liquidity.objects.all()
serializer_class = LiquiditySerializer
# Your custom function definition
def prediction(self, request, features_list):
# The content
def retrieve(self, request, *args, **kwargs):
result = prediction(...) # Call your custom service and got result
# Return the result as JSON (url = /api/v1/predictions/1) an object
return Response({'data': result}, status=status.HTTP_200_OK)
def list(self, request, *args, **kwargs):
result = prediction(...) # Call your custom service and got result
# Return the result as JSON (url = /api/v1/predictions) a list of objects
return Response({'data': result}, status=status.HTTP_200_OK)
更多详情请关注