I have some json then converted that to csv file, now that same file should save to s3 not to my local folder.
logs = {
"testing1": "testing1_value",
"testing2": "testing2_value",
"testing3": {"testing3a": "testing1_value3a"},
"testing4": {"testing4a": {"testing4a1": "testing_value4a1"}}
}
file_name = "testing_file.csv"
bucket_name = "testing_bucket"
file_to_save_in_path = "path_in_s3/testing_file.csv"
client = boto3.client("s3")
from fastapi.responses import StreamingResponse
stream = await create_csv_for_download(logs, file_name)
response = StreamingResponse(iter([stream]), media_type="text/csv")
response.headers["Content-Disposition"] = f"attachment; filename={file_name}"
client.put_object(Bucket=bucket_name, Key=file_to_save_in_path, Body=response)
client.upload_file(response, bucket_name, file_to_save_in_path)
now response comes like some thing => <starlette.responses.StreamingResponse object at 0x7fe084e75fd0>
how to save that response in s3 in proper csv file..
error when i use client.put_object: be like below
**
Parameter validation failed:
Invalid type for parameter Body, value: <starlette.responses.StreamingResponse object at 0x7fe084e75fd0>, type: <class 'starlette.responses.StreamingResponse'>, valid types: <class 'bytes'>, <class 'bytearray'>, file-like object
**
CodePudding user response:
The error message is fairly clear:
Invalid type for parameter Body, value: <starlette.responses.StreamingResponse object at 0x7fe084e75fd0>,
type: <class 'starlette.responses.StreamingResponse'>,
valid types: <class 'bytes'>, <class 'bytearray'>, file-like object
It's telling you that you can't pass a StreamingResponse
object to put_object()
, it must be a bytes array, or a file object. Assuming your create_csv_for_download()
function returns a stream object, you should just read the bytes from it, and send that off to put_object()
.
Further, the HTTP headers that you're setting in StreamingResponse
should be passed along to put_object()
directly:
import boto3
import csv
import io
def create_csv_for_download(logs, filename):
# Just a stub so this is a self-contained example
ret = io.StringIO()
cw = csv.writer(ret)
for key, value in logs.items():
cw.writerow([key, str(value)])
return ret
logs = {
"testing1": "testing1_value",
"testing2": "testing2_value",
"testing3": {"testing3a": "testing1_value3a"},
"testing4": {"testing4a": {"testing4a1": "testing_value4a1"}}
}
file_name = "testing_file.csv"
bucket_name = "testing_bucket"
file_to_save_in_path = "path_in_s3/testing_file.csv"
client = boto3.client("s3")
stream = create_csv_for_download(logs, file_name)
# Ready out the body from the stream returned
body = stream.read()
if isinstance(body, str):
# If this stream returns a string, encode it to a byte array
body = body.encode("utf-8")
client.put_object(
Bucket=bucket_name,
Key=file_to_save_in_path,
Body=body,
ContentDisposition=f"attachment; filename={file_name}",
ContentType="test/csv",
# Uncomment the following line if you want the link to be
# publicly downloadable from S3 without credentials:
# ACL="public-read",
)