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November 3, 2021 01:41
Uploading a file to S3 while using Flask with Flask-Restful to create a REST API.
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# -*- coding: utf-8 -*- | |
""" | |
An example flask application showing how to upload a file to S3 | |
while creating a REST API using Flask-Restful. | |
Note: This method of uploading files is fine for smaller file sizes, | |
but uploads should be queued using something like celery for | |
larger ones. | |
""" | |
from cStringIO import StringIO | |
from boto.s3.connection import S3Connection | |
from boto.s3.key import Key as S3Key | |
from flask import Flask | |
from flask.ext.restful import Api as FlaskRestfulAPI, Resource, reqparse, abort | |
from werkzeug.datastructures import FileStorage | |
## config | |
ALLOWED_EXTENSIONS = ['jpg', 'jpeg', 'png'] | |
FILE_CONTENT_TYPES = { # these will be used to set the content type of S3 object. It is binary by default. | |
'jpg': 'image/jpeg', | |
'jpeg': 'image/jpeg', | |
'png': 'image/png' | |
} | |
AWS_ACCESS_KEY_ID = 'aws-access-key-id' | |
AWS_SECRET_ACCESS_KEY = 'aws-secret-access-key' | |
## app initilization | |
app = Flask(__name__) | |
app.config.from_object(__name__) | |
## extensions | |
api = FlaskRestfulAPI(app) | |
## Helper Methods | |
def upload_s3(file, key_name, content_type, bucket_name): | |
"""Uploads a given StringIO object to S3. Closes the file after upload. | |
Returns the URL for the object uploaded. | |
Note: The acl for the file is set as 'public-acl' for the file uploaded. | |
Keyword Arguments: | |
file -- StringIO object which needs to be uploaded. | |
key_name -- key name to be kept in S3. | |
content_type -- content type that needs to be set for the S3 object. | |
bucket_name -- name of the bucket where file needs to be uploaded. | |
""" | |
# create connection | |
conn = S3Connection(app.config['AWS_ACCESS_KEY_ID'], app.config['AWS_SECRET_ACCESS_KEY']) | |
# upload the file after getting the right bucket | |
bucket = conn.get_bucket(bucket_name) | |
obj = S3Key(bucket) | |
obj.name = key_name | |
obj.content_type = content_type | |
obj.set_contents_from_string(file.getvalue()) | |
obj.set_acl('public-read') | |
# close stringio object | |
file.close() | |
return obj.generate_url(expires_in=0, query_auth=False) | |
class FileStorageArgument(reqparse.Argument): | |
"""This argument class for flask-restful will be used in | |
all cases where file uploads need to be handled.""" | |
def convert(self, value, op): | |
if self.type is FileStorage: # only in the case of files | |
# this is done as self.type(value) makes the name attribute of the | |
# FileStorage object same as argument name and value is a FileStorage | |
# object itself anyways | |
return value | |
# called so that this argument class will also be useful in | |
# cases when argument type is not a file. | |
super(FileStorageArgument, self).convert(*args, **kwargs) | |
## API Endpoints | |
class UploadImage(Resource): | |
put_parser = reqparse.RequestParser(argument_class=FileStorageArgument) | |
put_parser.add_argument('image', required=True, type=FileStorage, location='files') | |
def put(self): | |
#TODO: a check on file size needs to be there. | |
args = self.put_parser.parse_args() | |
image = args['image'] | |
# check logo extension | |
extension = image.filename.rsplit('.', 1)[1].lower() | |
if '.' in image.filename and not extension in app.config['ALLOWED_EXTENSIONS']: | |
abort(400, message="File extension is not one of our supported types.") | |
# create a file object of the image | |
image_file = StringIO() | |
image.save(image_file) | |
# upload to s3 | |
key_name = '{0}.{1}'.format('some-name', extension) | |
content_type = app.config['FILE_CONTENT_TYPES'][extension] | |
bucket_name = 'bucket-is-me' | |
logo_url = upload_s3(image_file, key_name, content_type, bucket_name) | |
return {'logo_url': logo_url} | |
api.add_resource(UploadImage, '/upload_image') | |
if __name__ == '__main__': | |
app.run(debug=True) |
at line #79, I got an error: global name 'args' is not defined, do you know what's the reason?
Thks~
really neat code. Thank you!
Can you please update on how to run this file??
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Could you please tell, how can I sample test this API with an image?