data-ingestion-sdk 0.4.15

Python SDK for the Trelent Data Ingestion API

Data Ingestion Python SDK

Overview

• Endpoints: GET /healthz, POST /jobs, GET /jobs/{id}
• Models: All requests/responses are strict Pydantic models
• Auth: Bearer token required
• Python: 3.11+

Install

• From PyPI (once published):

uv pip install data-ingestion-sdk

• From source (editable):

uv pip install -e ./sdk/python

Configuration

Provide a base URL and bearer token via env or explicitly.

• Required env vars (used by default when you instantiate DataIngestionClient()):
  • DATA_INGESTION_API_URL (or DATA_INGESTION_API_BASE_URL) or TRELENT_DATA_INGESTION_API_URL (or TRELENT_DATA_INGESTION_API_BASE_URL)
  • DATA_INGESTION_API_TOKEN or TRELENT_DATA_INGESTION_API_TOKEN

from trelent_data_ingestion_sdk import SDKConfig

# From env (raises if missing)
cfg = SDKConfig.from_env()

# Or explicit
# cfg = SDKConfig(base_url="https://api.example.com", token="<bearer>")

Quickstart

from trelent_data_ingestion_sdk import (
    SDKConfig, DataIngestionClient,
    S3KeysConnector, S3PrefixConnector, UrlConnector,
    BucketOutput, S3SignedUrlOutput, JobInput,
)

with DataIngestionClient() as client:
    # Health check
    print(client.healthz())

    # Submit a job using S3 keys
    job = JobInput(
        connector=S3KeysConnector(type="s3", bucket_name="my-bucket", object_keys=["docs/a.pdf", "vids/b.mp4"]),
        output=S3SignedUrlOutput(type="s3-signed-url", expires_minutes=60),
    )
    resp = client.submit_job(job)
    print("submitted:", resp.job_id)

    # Poll status (optionally include markdown bodies)
    status = client.get_job_status(resp.job_id, include_markdown=False)
    print(status.status)

If you need to override the environment at runtime, you can either pass an explicit SDKConfig or supply credentials directly to the client:

cfg = SDKConfig(base_url="https://api.example.com", token="<bearer>")
client = DataIngestionClient(cfg)

client = DataIngestionClient(base_url="https://api.example.com", token="<bearer>")

Connectors

• S3KeysConnector (type="s3"): bucket_name, object_keys: list[str]
• S3PrefixConnector (type="s3_prefix"): bucket_name, prefix
• UrlConnector (type="url"): urls: list[str]

Outputs

• S3SignedUrlOutput: type="s3-signed-url", expires_minutes
• BucketOutput: type="bucket", bucket_name, prefix

API Methods

• client.healthz() -> HealthzResponse
• client.submit_job(JobInput) -> ProcessResponse
• client.get_job_status(job_id, include_markdown=False) -> JobStatusResponse

Delivery payloads

• When status is Completed, JobStatusResponse.delivery maps input identifiers to one of:

Signed URLs

{
  "docs/a.pdf": {
    "images": {"<nanoid>": "https://signed.example/img1"},
    "markdown_delivery": "https://signed.example/a.md",
    "markdown": "# Document..."
  }
}

Bucket pointers

{
  "docs/a.pdf": {
    "images": {"<nanoid>": {"bucket": "my-bucket", "key": "images/img1.png"}},
    "markdown_delivery": {"bucket": "my-bucket", "key": "converted/a.md"},
    "markdown": "# Document..."
  }
}

Error handling

• Config validation: ValueError if missing base_url or token
• HTTP errors: requests.HTTPError on non-2xx responses
• Parsing: pydantic.ValidationError on invalid payloads

Development

• Build locally:

uv build --directory sdk/python

• Bump version, e.g. patch:

uv version --bump patch --directory sdk/python --no-sync

• Publish via the repo’s GitHub Action (PyPI Trusted Publisher), which builds with uv and uploads artifacts.