Chilkat2-Python

Frame.io - Upload an Asset

See more Frame.io Examples

Upload an asset to Frame.io Chilkat2-Python

import sys
import chilkat2

success = False

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

http = chilkat2.Http()

# 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 = chilkat2.FileAccess()
fileSize = fac.FileSize(localFilePath)

json = chilkat2.JsonObject()
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.AuthToken = "<FRAME_IO_DEV_TOKEN>"

# Uploading to asset ID: 039845e8-bffe-4d6b-88d3-c780bae06342
resp = chilkat2.HttpResponse()
success = http.HttpJson("POST","https://api.frame.io/v2/assets/039845e8-bffe-4d6b-88d3-c780bae06342/children",json,"application/json",resp)
if (success == False):
    print(http.LastErrorText)
    sys.exit()

sbResponseBody = chilkat2.StringBuilder()
resp.GetBodySb(sbResponseBody)
jResp = chilkat2.JsonObject()
jResp.LoadSb(sbResponseBody)
jResp.EmitCompact = False

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

respStatusCode = resp.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 = chilkat2.BinData()
httpForUpload = chilkat2.Http()

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

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

    jResp.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
    success = httpForUpload.HttpBd("PUT",uploadUrl,bd,"video/mp4",resp)
    if (success == False):
        print(httpForUpload.LastErrorText)
        sys.exit()

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

    i = i + 1

fac.FileClose()

print("File uploaded.")