信誉查询服务怎么搭建

import requests

def fetch_data(url):
    response = requests.get(url)
    if response.status_code == 200:
        return response.json()
    else:
        raise Exception("Failed to fetch data")

data = fetch_data("https://api.example.com/data")

import pandas as pd
from sklearn.preprocessing import StandardScaler

def process_data(data):
    df = pd.DataFrame(data)
    scaler = StandardScaler()
    df_scaled = scaler.fit_transform(df)
    return df_scaled

from flask import Flask, request, jsonify

app = Flask(__name__)

@app.route('/query', methods=['GET'])
def query_reputation():
    entity_id = request.args.get('id')
    # 这里应添加查询数据库的逻辑
    reputation_score = get_reputation_score(entity_id)
    return jsonify({"entity_id": entity_id, "score": reputation_score})

def get_reputation_score(entity_id):
    # 实现查询数据库获取信誉分数的逻辑
    return 0.85  # 示例分数

if __name__ == '__main__':
    app.run(debug=True)