使用来自外循环迭代器的值更新特定键的字典值

Question

I have a list of lists in this format:

nrows = ["['Shock pain', 'attack sharp pain']",
         "['bruises', 'lump']",
         "['fever', 'cold', 'Anxiety']",
         "['neck pain', 'headache']"]

I want to call an API by passing everytime 1 list at a time from the nrows list. Each list should be passed 1 by 1 to the data dict with key sList and the response should be saved.

The API function is as follows:

newres = []
for i in nrows:
    url = "https://testabcd.io"
    data= {
      "sList": i,
      "kList" : ["age"],
    }
    headers = {
      'Content-Type': 'application/json',
      'Auth': '0644427814339900'
    }
    response = requests.request("GET", url, headers=headers, json=data)
    newres.append(response.text)

    print(response.text)

    print(newres)

Inside the data dict, in sList , at each iteration, I want to pass 1 sublist at a time and get the response appended in a list.

The current code has all the response same as I think I am unable to iterate and change the value of the data dict with key sList which is what is expected.

The csv looks like this:

['Shock pain', 'attack sharp pain']
['bruises', 'lump']
['fever', 'cold', 'Anxiety']

Answer 1

Assuming the file you work with, really looks like this :

['Shock pain', 'attack sharp pain']
['bruises', 'lump']
['fever', 'cold', 'Anxiety']

you can use ast.literal_eval in order to convert the line from the file into list

import requests
from ast import literal_eval

newres = []
url = "https://testabcd.io"
headers = {'Content-Type':'application/json',
           'Auth':'0644427814339900'}

with open("yourfile") as f:
    for line in f:
        data= {"sList": literal_eval(line),
               "kList" : ["age"]}

        response = requests.get(url, headers=headers, json=data)
        newres.append(response.text)
        print(response.text)
        print(newres)

Note:

1. This is not tested.
2. Given that your data comes from non-standard file, where they were exported in bad manner from a dataframe, created unknown how - I would suggest that you seriously reconsider all your workflow and how you manipulate your data.