这个脚本包含在我的Sping Boot 应用程序中。当我发送运行这个脚本的请求时，它就会自动运行。我使用py4j库来建立Java和Python之间的连接。我使用这个方法从Java运行Python文件。

public void runScript(String file){
        try {
            String pythonScriptPath = "./src/main/java/com/api/air_quality/python/" + file + ".py";
            String pythonExecutablePath = "C:\\Users\\KAVI\\AppData\\Local\\Programs\\Python\\Python310\\python.exe";
            String command = pythonExecutablePath + " " + pythonScriptPath;
            // Append the cached data to the command
            for (Double value : airQualityDataCache.get()) {
                command += " " + value;
            }
            Process process = Runtime.getRuntime().exec(command);
            // output
            BufferedReader reader = new BufferedReader(new InputStreamReader(process.getInputStream()));
            String line;
            while ((line = reader.readLine()) != null) {
                System.out.println(line);
            }
            // error
            BufferedReader errorReader = new BufferedReader(new InputStreamReader(process.getErrorStream()));
            while ((line = errorReader.readLine()) != null) {
                System.err.println(line);
            }
            int exitCode = process.waitFor();
            if (exitCode != 0) {
                System.out.println("Python script exited with code: " + exitCode);
            }
        } catch (IOException | InterruptedException e) {
            e.printStackTrace();
        }
    }

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这是我想添加.env变量的python文件。

from time import sleep
from dotenv import load_dotenv
from py4j.java_gateway import JavaGateway
import numpy as np
import pickle
import sys
import requests
import os
# to ignore warnings
import warnings
warnings.filterwarnings('ignore')
class AirHumidityModelPython:
    def __init__(self):
        self.gateway = JavaGateway()
        self.java_model = self.gateway.entry_point
        with open("./AI_Models/airHumidity_model.pkl", 'rb') as f:
            self.model = pickle.load(f)
    def predict_air_humidity(self, features):
        try:
            features_2d = np.array(features).reshape(1, -1)
            prediction = self.model.predict(features_2d)[0]
            url = os.getenv("SPRINGBOOT_URL_PYTHON")
            spring_boot_url = url+"/airHumidity"
            # Send the prediction to the Spring Boot endpoint
            response = requests.post(spring_boot_url, json=float(prediction))
            # print(response.text)
            return prediction
        except Exception as e:
            # Handle any errors during prediction
            return str(e)
if __name__ == "__main__":
    load_dotenv()
    # instance
    air_humidity_model = AirHumidityModelPython()
    
    # dummy_features = [[1.5, 2.3, 4.2, 5.1, 7.7, 9.4, 10.0]]
    data_from_java = [float(arg) for arg in sys.argv[1:]]
    result = air_humidity_model.predict_air_humidity(data_from_java)
    # result = air_humidity_model.java_model.Message()

型
在这种情况下，工作流程是，用户将值数组发送到springboot后端，然后springboot服务运行上面的第一个方法。它将运行Python文件。然后它进行预测，并将预测值再次发送到springboot后端。Spring Boot缓存Python请求的值，并将其作为响应发送给用户。
问题是python-dotenv在运行文件时出现此错误

import dotenv
ModuleNotFoundError: No module named 'dotenv'

型
我使用以下命令将正确的python-dotenv库安装到了我的项目中。

pip3 install python-dotenv

型
也尝试过，

pip3.10 install python-dotenv

型
这个也是。

pip3 uninstall -U python-dotenv

型
然后，我直接运行Python文件，而不涉及Java，它工作得很好。
只有当Python文件通过Java方法运行时才会出现错误。其他Python导入不会出现任何错误。