Python SDK in Frame.io – Upload-Leitfaden

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import os
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from frameio import Frameio
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from frameio.files import FileCreateLocalUploadParamsData
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from frameio.upload import FrameioUploader
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client = Frameio(token="YOUR_TOKEN")
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file_path = "/path/to/video.mp4"
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file_size = os.path.getsize(file_path)
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# 1. Create the file resource and get pre-signed upload URLs
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response = client.files.create_local_upload(
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    account_id="YOUR_ACCOUNT_ID",
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    folder_id="YOUR_FOLDER_ID",
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    data=FileCreateLocalUploadParamsData(
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        name="video.mp4",
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        file_size=file_size,
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    ),
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)
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# 2. Upload the file to S3
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with open(file_path, "rb") as f:
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    FrameioUploader(response.data, f).upload()

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def on_progress(bytes_uploaded: int, total_bytes: int) -> None:
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    pct = bytes_uploaded / total_bytes * 100
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    print(f"\r{pct:.1f}% ({bytes_uploaded:,} / {total_bytes:,} bytes)", end="", flush=True)
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with open(file_path, "rb") as f:
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    FrameioUploader(response.data, f, on_progress=on_progress).upload()
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print("\nUpload complete!")

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from rich.progress import Progress, BarColumn, DownloadColumn, TransferSpeedColumn, TimeRemainingColumn
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with Progress(
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    "[progress.description]{task.description}",
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    BarColumn(),
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    DownloadColumn(),
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    TransferSpeedColumn(),
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    TimeRemainingColumn(),
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) as progress:
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    task = progress.add_task("Uploading...", total=file_size)
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    with open(file_path, "rb") as f:
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        FrameioUploader(
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            response.data, f,
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            on_progress=lambda done, total: progress.update(task, completed=done),
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        ).upload()

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with open(file_path, "rb") as f:
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    FrameioUploader(
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        response.data,
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        f,
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        max_workers=10,       # more parallelism for high-bandwidth connections
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        max_retries=5,        # more resilient on flaky networks
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        on_progress=on_progress,
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    ).upload()

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import os
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from frameio import Frameio
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from frameio.auth import ServerToServerAuth
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from frameio.files import FileCreateLocalUploadParamsData
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from frameio.upload import FrameioUploader
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# Authenticate
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auth = ServerToServerAuth(
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    client_id="YOUR_CLIENT_ID",
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    client_secret="YOUR_CLIENT_SECRET",
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)
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client = Frameio(token=auth.get_token)
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# Prepare the file
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file_path = "/path/to/video.mp4"
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file_name = os.path.basename(file_path)
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file_size = os.path.getsize(file_path)
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# Create the file resource
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response = client.files.create_local_upload(
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    account_id="YOUR_ACCOUNT_ID",
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    folder_id="YOUR_FOLDER_ID",
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    data=FileCreateLocalUploadParamsData(
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        name=file_name,
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        file_size=file_size,
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    ),
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)
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print(f"Uploading {file_name} ({file_size:,} bytes) in {len(response.data.upload_urls)} chunks...")
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# Upload with progress
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def on_progress(uploaded: int, total: int) -> None:
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    print(f"\r{uploaded / total:.0%}", end="", flush=True)
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with open(file_path, "rb") as f:
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    FrameioUploader(response.data, f, on_progress=on_progress).upload()
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print(f"\nDone! View at: {response.data.view_url}")

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from frameio.files import FileCreateRemoteUploadParamsData
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response = client.files.create_remote_upload(
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    account_id="YOUR_ACCOUNT_ID",
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    folder_id="YOUR_FOLDER_ID",
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    data=FileCreateRemoteUploadParamsData(
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        name="video.mp4",
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        source_url="https://example.com/video.mp4",
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    ),
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)
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print(f"File created: {response.data.id}")

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status = client.files.show_file_upload_status(
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    account_id="YOUR_ACCOUNT_ID",
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    file_id=response.data.id,
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)
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print(f"Upload complete: {status.data.upload_complete}")