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Python SDK for DxPipe model editing and simulation workflows

Project description

dxpipe-sdk

dxpipe-sdk is a Python SDK for DxPipe model editing, simulation execution, streaming result retrieval, and runtime command control.

Features

  • Token-based authentication against the DxPipe backend
  • Create models for supported workspace types and open existing models
  • Add, remove, connect, and configure components in the model graph
  • Save model snapshots and start simulation jobs
  • Poll or stream logs, plots, tables, inspect data, and container messages
  • Send runtime commands to components during online or transient execution

Requirements

  • Python 3.10 or later
  • A reachable DxPipe service endpoint
  • A DxPipe account that can obtain access tokens

Install

Install from a built wheel or from PyPI after publication:

pip install dxpipe-sdk

For local development in this repository:

pip install -e .

Quick Start

from dxpipe_sdk import DxPipeClient

client = DxPipeClient(
    base_url="http://localhost:8000",
    username="admin",
    password="your-password",
)

model = client.create_model(
    name="sdk-demo-model",
    workspace_type="lps_online",
    description="Created by dxpipe-sdk",
)

source = model.add_component("Source", position=(0, 0))
pipe = model.add_component("Pipe", position=(240, 0))
load = model.add_component("Load", position=(480, 0))

model.connect(source, "0", pipe, "0")
model.connect(pipe, "1", load, "0")

model.save()
job = model.run(timeout=120, image="dxpipe")

for message in job.stream_results(timeout=2):
    print(message.get("type"), message.get("key"))

Public API

The package currently exports these main entry points:

  • DxPipeClient
  • Model
  • Component
  • Connection
  • Job
  • MetaService
  • ResultStream
  • LogMessage
  • PlotMessage
  • TableMessage
  • InspectMessage
  • ContainerMessage
  • DxPipeError
  • AuthError
  • APIError
  • NotFoundError
  • ValidationError

Examples

  • examples/quickstart.py: create, save, run, and fetch results
  • examples/transient_streaming.py: stream transient online results and send commands during execution
  • examples/run_existing_model.py: open an existing model by ID and run it

Release Validation

Build and metadata check:

python -m build
python -m twine check dist/*

Minimal install smoke test with the built wheel:

python -m venv .smoke-venv
.smoke-venv\Scripts\python -m pip install dist\dxpipe_sdk-0.1.1-py3-none-any.whl
.smoke-venv\Scripts\python -c "from dxpipe_sdk import DxPipeClient, Model, Job, ResultStream; print('smoke ok')"

License

This package is currently distributed as proprietary software.

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