我有一个AWS lambda函数，该函数接受多部分表单数据，将其解析为文档(可以是.pdf，.doc或.docx)，然后将其上传到S3存储桶。我正在接收表单数据，对其进行解析，然后似乎将其上传就好了。但是，当我去下载文件时，如果它是.doc或.docx，则无法打开；如果是.pdf，则只是空白页。本质上，文件在流程管道中的某个位置已损坏。在这一点上，我真的不知道我在做什么错。数据传输步骤如下:

$.ajax({ 
    type: 'POST', 
    processData: false, 
    url: `${API_BASE}/applications`, 
    contentType: false, 
    data: formData, 
    success: (data) => { 
        isFormValid = true; 
        callback(); 
    }, 
    error: (err) => { 
        console.log(err); 
    } 
}); 

import arrow 
import boto3 
import cgi 
from io import BytesIO 
from app import app, verify_token 
from chalice.app import Request 
from chalicelib.core.constants import aws_credentials 
 
s3_path: str = 'tmp/' 
s3_metrics_file: str = 'metrics.json' 
s3_metrics_key: str = s3_path + s3_metrics_file 
 
# Just testing different ways to instantiate client 
s3_client = boto3.client("s3", **aws_credentials) 
s3_resource_client = boto3.resource("s3", **aws_credentials) 
 
company_name = 'company' 
 
def _get_parts(current_request) -> dict: 
    """Parse multipart form data""" 
    raw_file: bytearray = BytesIO(current_request.raw_body) 
    content_type = current_request.headers['content-type'] 
    _, parameters = cgi.parse_header(content_type) 
    parameters['boundary'] = parameters['boundary'].encode('utf-8') 
    parsed: dict = cgi.parse_multipart(raw_file, parameters) 
 
    return parsed 
 
 
@app.route('/applications', cors=True, content_types=['multipart/form-data'], methods=['POST']) 
def create_application() -> dict: 
    """Creates an application object, stores it and sends an email with the info""" 
    current_request: Request = app.current_request 
 
    # Resume has to stay as bytes 
    body: dict = {k: v[0].decode() if k != 'resume' else v[0] for (k, v) in _get_parts(current_request).items()} 
    resume: bytes = body.get('resume', None) 
    file_name: str = body.get('file_name') 
    portfolio: str = body.get('portfolio', None) 
    file_name_new: str = f'{first_name}_{last_name}_{arrow.utcnow().format("YYYY-MM-DD")}.{file_name.split(".")[-1]}' 
    file_location: str = f'https://s3.amazonaws.com/{company_name}-resumes/{file_name_new}' if resume else None 
 
    s3_client.put_object(Body=resume, Bucket=company_name, Key=file_name_new) 
    # Different way to do the same thing 
    # s3_resource_client.Bucket('52inc-resumes').put_object(Key='test.jpg', Body=resume) 

请您参考如下方法:

我最终通过仅将json与base64字符串一起使用解决了此问题，不再需要multipart/form-data或JavaScript FormData对象。从那里，我可以简单地解析出base64字符串并将其发送到S3。仍然会对是否有一种方法使用multipart/form-data感兴趣。