如何修复我的代码以使其自动化？

Question

我有下面的代码，它将我的标准化 .txt 文件完美地转换为 JSON 文件。唯一的问题是，有时我有超过 300 个文件并手动执行此操作（即更改文件末尾的数字并运行脚本太多且耗时太长。我想自动执行此操作。如您所见的文件驻留在一个folder/directory and I am placing the JSON file in a differentfolder/目录中，但基本上保持命名约定标准化，除了不是以.txt结尾，而是以.json结尾，但前缀或文件名相同且标准化。例如：CRAZY_CAT_FINAL1.TXT, CRAZY_CAT_FINAL2.TXT依此类推，一直到文件 300。如何自动化并保持文件命名约定到位，并将文件读取并输出到不同的文件夹/目录？我试过了，但似乎无法得到这个迭代。任何帮助将不胜感激。

import glob
import time
from glob import glob
import pandas as pd
import numpy as np
import csv
import json

    csvfile = open(r'C:\Users\...\...\...\Dog\CRAZY_CAT_FINAL1.txt', 'r')
    jsonfile = open(r'C:\Users\...\...\...\Rat\CRAZY_CAT_FINAL1.json', 'w')
    
    reader = csv.DictReader(csvfile)
    out = json.dumps([row for row in reader])
    jsonfile.write(out)

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I also have this code using the python library "requests". How do I make this code so that it uploads multiple json files with a standard naming convention? The files end with a number...

    import requests

#function to post to api

    def postData(xactData):
        url = 'http link'
        headers = {
           'Content-Type': 'application/json',
           'Content-Length': str(len(xactData)),
           'Request-Timeout': '60000'
        }
        return requests.post(url, headers=headers, data=xactData)

    #read data
    f = (r'filepath/file/file.json', 'r')
    data = f.read()
    print(data)

    # post data
    result = postData(data)
    print(result)

Answer 1

使用f-strings?

for i in range(1,301):
    csvfile = open(f'C:\Users\...\...\...\Dog\CRAZY_CAT_FINAL{i}.txt', 'r')
    jsonfile = open(f'C:\Users\...\...\...\Rat\CRAZY_CAT_FINAL{i}.json', 'w')

Answer 2

import time
from glob import glob
import csv
import json
import os

INPATH r'C:\Users\...\...\...\Dog'
OUTPATH = r'C:\Users\...\...\...\Rat'
for csvname in glob(INPATH+'\*.txt'):
    jsonname = OUTPATH + '/' + os.basename(csvname[:-3] + 'json')
    reader = csv.DictReader(open(csvname,'r'))
    json.dump( list(reader), open(jsonname,'w') )