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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