(CkPython) Frame.io - Upload an Asset

Upload an asset to Frame.io

For more information, see https://docs.frame.io/docs/uploading-assets

Chilkat Python Downloads install with pip pip3 install chilkat or download... Python Module for Windows, MacOS, Linux, Alpine Linux, Solaris

import sys
import chilkat

# This example assumes the Chilkat API to have been previously unlocked.
# See Global Unlock Sample for sample code.

http = chilkat.CkHttp()

# Implements the following CURL command:

# curl --request POST \
#   --url https://api.frame.io/v2/assets/<ASSET_ID>/children \
#   --header 'authorization: Bearer <FRAME_IO_DEV_TOKEN>' \
#   --header 'content-type: application/json' \
#   --data '{"filesize":1570024 ,"filetype":"video/mp4","name":"rotating_earth","type":"file"}'

# Use the following online tool to generate HTTP code from a CURL command
# Convert a cURL Command to HTTP Source Code

# Use this online tool to generate code from sample JSON:
# Generate Code to Create JSON

# The following JSON is sent in the request body.

# {
#   "filesize": 1570024,
#   "filetype": "video/mp4",
#   "name": "rotating_earth",
#   "type": "file"
# }

localFilePath = "qa_data/mp4/rotating_earth.mp4"
fac = chilkat.CkFileAccess()
fileSize = fac.FileSize(localFilePath)

json = chilkat.CkJsonObject()
json.UpdateInt("filesize",fileSize)
json.UpdateString("filetype","video/mp4")
json.UpdateString("name","rotating_earth7")
json.UpdateString("type","file")

http.SetRequestHeader("content-type","application/json")
# Adds the "Authorization: Bearer <FRAME_IO_DEV_TOKEN>" header.
http.put_AuthToken("<FRAME_IO_DEV_TOKEN>")

# Uploading to asset ID: 039845e8-bffe-4d6b-88d3-c780bae06342
# resp is a CkHttpResponse
resp = http.PostJson3("https://api.frame.io/v2/assets/039845e8-bffe-4d6b-88d3-c780bae06342/children","application/json",json)
if (http.get_LastMethodSuccess() == False):
    print(http.lastErrorText())
    sys.exit()

sbResponseBody = chilkat.CkStringBuilder()
resp.GetBodySb(sbResponseBody)
jResp = chilkat.CkJsonObject()
jResp.LoadSb(sbResponseBody)
jResp.put_EmitCompact(False)

print("Response Body:")
print(jResp.emit())

respStatusCode = resp.get_StatusCode()
print("Response Status Code = " + str(respStatusCode))
if (respStatusCode >= 400):
    print("Response Header:")
    print(resp.header())
    print("Failed.")

    sys.exit()

# Upload in chunks to the pre-signed S3 upload URLs.
# There are ways to do this in parallel, but for simplicity we'll show how to upload
# one chunk after another.
numChunks = jResp.SizeOfArray("upload_urls")
sizePerChunk = (fileSize + numChunks - 1) / numChunks

print("numChunks = " + str(numChunks))
print("sizePerChunk = " + str(sizePerChunk))

success = fac.OpenForRead(localFilePath)
if (success == False):
    print(fac.lastErrorText())
    sys.exit()

bd = chilkat.CkBinData()
httpForUpload = chilkat.CkHttp()

httpForUpload.SetRequestHeader("x-amz-acl","private")

i = 0
while (i < numChunks) :
    bd.Clear()
    success = fac.ReadBlockBd(i,sizePerChunk,bd)

    jResp.put_I(i)
    uploadUrl = jResp.stringOf("upload_urls[i]")

    # Send the chunk in a PUT:

    print("PUT chunk " + str(i + 1))
    print("URL: " + uploadUrl)

    # PUT https://frameio-uploads-production.s3/etc/etc
    # Content-Type: video/mp4
    # x-amz-acl: private

    # resp is a CkHttpResponse
    resp = httpForUpload.PBinaryBd("PUT",uploadUrl,bd,"video/mp4",False,False)
    if (httpForUpload.get_LastMethodSuccess() == False):
        print(httpForUpload.lastErrorText())
        sys.exit()

    print("response status: " + str(resp.get_StatusCode()))

    i = i + 1

fac.FileClose()

print("File uploaded.")