I need to do a python script to
- Read a csv file with the columns (
person_id
,name
,flag
). The file has 3000 rows. - Based on the
person_id
from the csv file, I need to call a URL passing theperson_id
to do a GET http://api.myendpoint.intranet/get-data/1234 The URL will return some information of theperson_id
, like example below. I need to get all rents objects and save on my csv. My output needs to be like this
import pandas as pd
import requests
ids = pd.read_csv(f"{path}/data.csv", delimiter=';')
person_rents = df = pd.DataFrame([], columns=list('person_id','carId','price','rentStatus'))
for id in ids:
response = request.get(f'endpoint/{id["person_id"]}')
json = response.json()
person_rents.append( [person_id, rent['carId'], rent['price'], rent['rentStatus'] ] )
pd.read_csv(f"{path}/data.csv", delimiter=';' )
person_id;name;flag;cardId;price;rentStatus
1000;Joseph;1;6638;1000;active
1000;Joseph;1;5566;2000;active
Response example
{
"active": false,
"ctodx": false,
"rents": [{
"carId": 6638,
"price": 1000,
"rentStatus": "active"
}, {
"carId": 5566,
"price": 2000,
"rentStatus": "active"
}
],
"responseCode": "OK",
"status": [{
"request": 345,
"requestStatus": "F"
}, {
"requestId": 678,
"requestStatus": "P"
}
],
"transaction": false
}
- After save the additional data from response on csv, i need to get data from another endpoint using the carId on the URL. The mileage result must be save in the same csv. http://api.myendpoint.intranet/get-mileage/6638 http://api.myendpoint.intranet/get-mileage/5566
The return for each call will be like this
{"mileage":1000.0000}
{"mileage":550.0000}
The final output must be
person_id;name;flag;cardId;price;rentStatus;mileage
1000;Joseph;1;6638;1000;active;1000.0000
1000;Joseph;1;5566;2000;active;550.0000
SOmeone can help me with this script? Could be with pandas or any python 3 lib.