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+--- Thread: parsing mutipart form data in Lambda (/thread-8800.html)
parsing mutipart form data in Lambda - v71017 - Mar-08-2018
I am working on developing an AWS Lambda function in python. This function is behind AWS API Gateway.
I upload two files from the URL and in lambda function I get event data as below.
I need help how to parse this response and save the two files in S3.
----------------------------124218046032878137249340
Content-Disposition: form-data; name="file1"; filename="2.csv"
Content-Type: text/csv
header,value
a,1
b,2
----------------------------124218046032878137249340
Content-Disposition: form-data; name="file2"; filename="1.txt"
Content-Type: text/plain
aa
bb
cc
----------------------------124218046032878137249340--
RE: parsing mutipart form data in Lambda - snippsat - Mar-08-2018
If it's a HTTP response could use Requests to parse it.
Data after
Content-Type: text/plain can get with .text or .contend.>>> import requests
>>> r = requests.get('http://httpbin.org/')
>>> r.status_code
200
>>> r.headers['content-type']
'text/html; charset=utf-8'
>>> print(r.text[:95])
<!DOCTYPE html>
<html>
<head>
<meta http-equiv='content-type' value='text/html;charset=utf8'>
RE: parsing mutipart form data in Lambda - v71017 - Mar-08-2018
Its not a HTTP response, in the service side code . There is a Lambda function , that get the data as bytes array stream.
RE: parsing mutipart form data in Lambda - snippsat - Mar-08-2018
Depends on what you want,quick and dirty way to get contend with regex.
import re
data = '''\
----------------------------124218046032878137249340
Content-Disposition: form-data; name="file1"; filename="2.csv"
Content-Type: text/csv
header,value
a,1
b,2
----------------------------124218046032878137249340
Content-Disposition: form-data; name="file2"; filename="1.txt"
Content-Type: text/plain
aa
bb
cc'''
r_csv = re.search(r'Content-Type: text/csv(.*\,\w)', data, re.DOTALL)
lst = [i for i in r_csv.group(1).split('\n') if i != '']
result = [i.split(',') for i in lst]
print(result)
print('--------------------------')
r_text = re.search(r'Content-Type: text/plain(.*)', data, re.DOTALL)
print([i for i in r_text.group(1).split('\n') if i != ''])Output:[['header', 'value'], ['a', '1'], ['b', '2']]
--------------------------
['aa', 'bb', 'cc']