如何从Flask服务器中执行Python程序？_Python_Flask_Import

如何从Flask服务器中执行Python程序？

python flask import

如何从Flask服务器中执行Python程序？,python,flask,import,Python,Flask,Import,我正在创建一个包含各种Python程序的Flask服务器。我希望管理员能够从Flask应用程序中执行它们。例如，如果他们单击一个按钮，它将执行Python脚本目前，当我运行服务器时，Python文件和Flask服务器按顺序执行。如中所示，首先执行Python文件，然后运行Flask服务器（但只有在我终止Python程序之后）作为参考，Python文件允许用户通过在窗口中双击图像来绘制图像上的点 routes.py from app import app, db from flask impo

我正在创建一个包含各种Python程序的Flask服务器。我希望管理员能够从Flask应用程序中执行它们。例如，如果他们单击一个按钮，它将执行Python脚本

目前，当我运行服务器时，Python文件和Flask服务器按顺序执行。如中所示，首先执行Python文件，然后运行Flask服务器（但只有在我终止Python程序之后）

作为参考，Python文件允许用户通过在窗口中双击图像来绘制图像上的点

routes.py

from app import app, db
from flask import Flask, request, render_template, session
import datasets

app.secret_key = app.config['SECRET_KEY']

/*--------------IRREVEVANT CODE BEGINS---------------*/

@app.route('/')
@app.route('/index')
def index():
    #Create connection session between SQLAlchemy database and server
    #Select ALL records in tables Lot
    #Store queries in data and push to INDEX template
    data = db.session.execute("SELECT * FROM Lot").fetchall()
    return render_template('index.html', data=data)

@app.route('/info/<lot_id>')
def info(lot_id):
    lotid = lot_id
    #Create connection session between SQLAlchemy database and server
    #Select records in table Spot based on LOT_ID parameter
    #Store queries in data and push to INFO template
    data = db.session.execute("SELECT * FROM Spot WHERE lot_id = :lotid;", {"lotid": lotid}).fetchall()
    return render_template('info.html', data=data)

/*------------IRRELEVANT CODE ENDS--------------*/

@app.route('/test')
def test():
    return datasets.click_and_crop()

if __name__ == '__main__':
    app.run(host='0.0.0.0', port='8000', debug=True)

from app import app, db
from flask import Flask, request, render_template, session
import datasets

app.secret_key = app.config['SECRET_KEY']

@app.route('/')
@app.route('/index')
def index():
    //Contents of index()

@app.route('/info/<lot_id>')
def info(lot_id):
    //Contents of info()

@app.route('/test')
def test():
    return datasets.main()

if __name__ == '__main__':
    app.run(host='0.0.0.0', port='8000', debug=True)

在本例中，我希望Python程序仅在进入

localhost/test

url时运行。Flask服务器将运行，然后，当点击一个按钮将您带到该url时，Python程序将同时运行，直到其终止。

对于发现自己在这里的任何人，我找到了这个特定问题的解决方案

正如@roganjosh所提到的，

import

语句一经解释就执行

数据集中的函数。为了防止出现这种情况，您需要在文件中包含if uuuuu name uuu==“\uuuuuuu main\uuuuuu”
，它告诉系统仅在导入
未调用指定函数时执行该函数
我的datasets.py
代码中要特别提到的另一个“问题”是，从服务器内部调用click\u和\u crop
不起作用，因为该函数需要参数。我通过创建一个main（）
方法并调用它来缓解这种情况。完整的解决方案如下：
datasets.py
import cv2
import yaml
import numpy as np

file_path = 'parking_spots.yml'
img = cv2.imread('test1.jpg')
refPt = []
data = []
cropping = False

def yaml_loader(file_path):
    with open(file_path, "r") as file_descr:
        data = yaml.load(file_descr)
        return data

def yaml_dump(file_path, data):
    with open(file_path, "a") as file_descr:
        yaml.dump(data, file_descr)


def click_and_crop(event, x, y, flags, param):
    info = {'id': 0, 'points': []}
    global refPt, cropping

    if event == cv2.EVENT_LBUTTONDBLCLK:
        refPt.append((x,y))
        cropping = False

    if len(refPt) == 4:
        if data == []:
            if yaml_loader(file_path) != None:
                new_data = len(yaml_loader(file_path))
            else:
                new_data = 0
        else:
           if yaml_loader(file_path) != None:
               new_data = len(data) + len(yaml_loader(file_path))
           else:
               new_data = len(data)

        cv2.line(image, refPt[0], refPt[1], (0, 0, 255), 2)
        cv2.line(image, refPt[1], refPt[2], (0, 0, 255), 2)
        cv2.line(image, refPt[2], refPt[3], (0, 0, 255), 2)
        cv2.line(image, refPt[3], refPt[0], (0, 0, 255), 2)

        corner_1 = list(refPt[2])
        corner_2 = list(refPt[3])
        corner_3 = list(refPt[0])
        corner_4 = list(refPt[1])

        info['points'] = [corner_1, corner_2, corner_3, corner_4]
        info['id'] = new_data + 1
        data.append(info)
        refPt = []

image = cv2.resize(img, None, fx=0.6, fy=0.6)
clone = image.copy()
cv2.namedWindow("Click to mark points")
cv2.imshow("Click to mark points", image)
cv2.setMouseCallback("Click to mark points", click_and_crop)

while True:
    cv2.imshow("Click to mark points", image)
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# data list into yaml file
if data != []:
    yaml_dump(file_path, data)
cv2.destroyAllWindows()

import cv2
import yaml
import numpy as np

img = cv2.imread('test1.jpg')
image = cv2.resize(img, None, fx=0.6, fy=0.6)
file_path = 'parking_spots.yml'
refPt = []
data = []

def yaml_loader(file_path):
    //contents of function

def yaml_dump(file_path, data):
    //contents of function

def click_and_crop(event, x, y, flags, param):
    //contents of function

def main():
    cropping = False
    clone = image.copy()
    cv2.namedWindow("Click to mark points")
    cv2.imshow("Click to mark points", image)
    cv2.setMouseCallback("Click to mark points", click_and_crop)
    while True:
        cv2.imshow("Click to mark points", image)
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

    # data list into yaml file
    if data != []:
        yaml_dump(file_path, data)
    cv2.destroyAllWindows()
    hi = "done"

    return hi

if __name__ == "__main__":
    # stuff only to run when not called via 'import' here
    main()

routes.py
from app import app, db
from flask import Flask, request, render_template, session
import datasets

app.secret_key = app.config['SECRET_KEY']

/*--------------IRREVEVANT CODE BEGINS---------------*/

@app.route('/')
@app.route('/index')
def index():
    #Create connection session between SQLAlchemy database and server
    #Select ALL records in tables Lot
    #Store queries in data and push to INDEX template
    data = db.session.execute("SELECT * FROM Lot").fetchall()
    return render_template('index.html', data=data)

@app.route('/info/<lot_id>')
def info(lot_id):
    lotid = lot_id
    #Create connection session between SQLAlchemy database and server
    #Select records in table Spot based on LOT_ID parameter
    #Store queries in data and push to INFO template
    data = db.session.execute("SELECT * FROM Spot WHERE lot_id = :lotid;", {"lotid": lotid}).fetchall()
    return render_template('info.html', data=data)

/*------------IRRELEVANT CODE ENDS--------------*/

@app.route('/test')
def test():
    return datasets.click_and_crop()

if __name__ == '__main__':
    app.run(host='0.0.0.0', port='8000', debug=True)

from app import app, db
from flask import Flask, request, render_template, session
import datasets

app.secret_key = app.config['SECRET_KEY']

@app.route('/')
@app.route('/index')
def index():
    //Contents of index()

@app.route('/info/<lot_id>')
def info(lot_id):
    //Contents of info()

@app.route('/test')
def test():
    return datasets.main()

if __name__ == '__main__':
    app.run(host='0.0.0.0', port='8000', debug=True)

从应用程序导入应用程序，数据库
从烧瓶导入烧瓶、请求、呈现模板、会话
导入数据集
app.secret\u key=app.config['secret\u key']
@应用程序路径（“/”）
@应用程序路径（“/index”）
def index（）：
//索引（）的内容
@app.route（“/info/”）
def信息（批次id）：
//资讯内容（
@应用程序路径（“/test”）
def test（）：
返回datasets.main（）
如果uuuu name uuuuuu='\uuuuuuu main\uuuuuuu'：
app.run（主机=0.0.0.0'，端口=8000'，调试=True）
我开始写答案，但这里的猜测太多了。当前的问题是导入数据集。不管是否为Flask，该导入都会在导入时执行该模块的所有代码。你需要看看如果
只在函数上加一个阻尼器，阻止它在导入时运行？这似乎奏效了！谢谢。实际上，这似乎是一些Python文件的解决方案，而不是其他文件。我已经更新了上面的帖子。如果uuu name uuu=='\uuuu main uuu'

正确，我是否实现了

？谢谢@roganjosh的帮助