rahcp

Async Python SDK & CLI for the Hitachi Content Platform (HCP) Unified API — S3-compatible object storage, IIIF image ingestion, and Transkribus exports, with resumable, parallel bulk transfers.

Everything ships in one package. Data never flows through an API server: the SDK uses presigned URLs for direct, parallel, crash-resumable transfers.

Install

pip install rahcp                 # client, CLI, IIIF, Transkribus, tracker
pip install "rahcp[validate]"     # + pre-upload image validation (Pillow)
pip install "rahcp[etl]"          # + NATS JetStream pipelines
pip install "rahcp[alto]"         # + Transkribus PAGE->ALTO conversion (ocrd)
pip install "rahcp[postgres]"     # + Postgres transfer-tracker backend
pip install "rahcp[all]"          # everything

Quick start

Python

import asyncio
from pathlib import Path
from rahcp import HCPClient

async def main():
    # reads HCP_ENDPOINT / HCP_USERNAME / HCP_PASSWORD / HCP_TENANT
    async with HCPClient.from_env() as client:
        await client.s3.upload("my-bucket", "data/file.jpg", Path("file.jpg"))
        objects = await client.s3.list_objects("my-bucket", prefix="data/")
        print(objects)

asyncio.run(main())

CLI

rahcp s3 upload-all my-bucket ./scans --workers 20 --include '*.jpg'
rahcp iiif download-batches batches.txt -o ./images/ --workers 10
rahcp transkribus upload 1944790 my-bucket --prefix medieval/ --archive-dir /data
rahcp ns list my-tenant

What's inside rahcp

Import names are stable: from rahcp_client import HCPClient, from rahcp_iiif import download_batch, from rahcp_transkribus import export_collection.

Links

• Documentation: https://ai-riksarkivet.github.io/hcp/
• Source: https://github.com/AI-Riksarkivet/ra-hcp

Licensed under Apache-2.0.