Question

我有一个python脚本（用Jupyter笔记本编写），我想在Azure中运行此脚本。 python脚本基本上从API源获取数据（每24小时更新一次），并更新SQL数据库Azure。因此，这种自动的python脚本将在每次运行时更新数据库表

有人可以取悦我吗？

下面是我编写的python代码，

graph <- data %>%
  filter(Dataframe == "weekly" & Question == 1) %>%
  as_tbl_graph(directed = FALSE) %>%
  activate(edges) %>% # first manipulate edges
  filter(!edge_is_loop()) %>% # remove any loops
  activate(nodes) %>% # now manipulate nodes
  left_join(node.group, by = "name") %>% 
  mutate(
    Popularity = centrality_degree(mode = 'in'),
    Centre = node_is_center(),
    Keyplayer = node_is_keyplayer(k = 5))

Answer 1

我不使用azure和jupyter笔记本，但我认为我有解决方案如果您整夜不运行计算机，请将代码更改为：

import time
import pyodbc
import requests
import json 
import pandas as pd
while 1:
    responses = requests.get("https://data.buffalony.gov/resource/d6g9-xbgu.json")

    crime_data = json.loads(responses.text)

    dic = {}

    dic = crime_data

    df = pd.DataFrame.from_dict(dic)

    dff =  df    [['case_number','day_of_week','incident_datetime','incident_description','incident_i         d','incident_type_primary']].copy()

    connection = pyodbc.connect ('Driver={ODBC Driver 17 for SQL Server};Server=servername;Database=Databasename;UID=admin;PWD=admin')

    cur = connection.cursor()

    row = []

    for i in range(dff.shape[0]):
        row.append(dff.iloc[i].tolist())

    sql = '''\
    INSERT INTO [dbo].[FF] ([case_number],[day_of_week],[incident_datetime],    [incident_description],[incident_id],[incident_type_primary]) values (?,?,?,?,?,?)
    '''

    for i in range(dff.shape[0]):

        cur.execute(sql,row[i])

    connection.commit()
    time.sleep(86400)

如果没有在启动文件中创建新的python程序，如下所示：

import time, os
while 1:
    if time.ctime()[11:13] >= "update hour" and time.ctime()[0:4] != open("path/to/any_file.txt").read():
        file = open("path/to/any_file.txt", "w")
        file.write(time.ctime()[0:4])
        file.close()
        os.system("python /path/to/file.py")

Answer 2

像Azure WebJobs这样的任务计划程序将为您完成此任务。

如何在Azure上每24小时自动运行python脚本？

2 个答案: