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Spotfire Community tools for working with the Spotfire Library API and DXP files.

Project description

Spotfire Community

Spotfire Community is a Python package for working with the Spotfire Library REST API (v2) and DXP files.

It also includes an Automation Services client for starting and monitoring jobs.

Installation

Install from PyPI (recommended):

Using pip:

pip install spotfire-community

Using uv:

uv add spotfire-community

Python 3.10+ is required (see pyproject.toml).

Usage

Library Client

Upload, create, and delete items in the Spotfire Library:

from spotfire_community import LibraryClient
from spotfire_community.library.models import ItemType

client = LibraryClient(
	spotfire_url="https://your-spotfire-host",  # e.g., https://dev.spotfire.com
	client_id="YOUR_CLIENT_ID",
	client_secret="YOUR_CLIENT_SECRET",
)

file_id = client.upload_file(
	data=b"...bytes...",            # upload raw content
	path="/Samples/Doc1",           # library path
	item_type=ItemType.DXP,
	description="Uploaded via LibraryClient",
	overwrite=False,
)
print("uploaded:", file_id)

Automation Services Client

Start and monitor Automation Services jobs:

from spotfire_community.automation_services import (
	AutomationServicesClient,
	JobDefinition,
	OpenAnalysisTask,
)

client = AutomationServicesClient(
	spotfire_url="https://your-spotfire-host",
	client_id="YOUR_CLIENT_ID",
	client_secret="YOUR_CLIENT_SECRET",
)

# Build a minimal job definition
job_def = JobDefinition()
job_def.add_task(OpenAnalysisTask(path="/Samples/Analysis.dxp"))

# Start and wait for completion
status = client.start_job_definition_and_wait(job_def, poll_interval=1, timeout=120)
print("status:", status)

DXP Utilities

Inspect and repackage DXP files:

from spotfire_community import Dxp


print(dxp.get_all_files())
zip_bytes = dxp.get_zip_folder_in_memory()  # BytesIO

Development

For development and testing (requires uv):

uv sync --dev

Mock APIs and Tests

The repo includes a FastAPI mock server for deterministic tests (not included in the PyPI package):

  • Router and handlers: src/mock_spotfire/library_v2/routes/
  • Models: src/mock_spotfire/library_v2/models.py
  • Errors: src/mock_spotfire/library_v2/errors.py
  • In-memory state: src/mock_spotfire/library_v2/state.py

Automation Services (v1) mock:

  • Router and handlers: src/mock_spotfire/automation_services_v1/routes/
  • Models: src/mock_spotfire/automation_services_v1/models.py
  • Errors: src/mock_spotfire/automation_services_v1/errors.py
  • In-memory state: src/mock_spotfire/automation_services_v1/state.py

Endpoints:

  • Core: POST /spotfire/oauth2/token
  • Library v2: GET/POST /spotfire/api/rest/library/v2/items
  • Library v2: DELETE /spotfire/api/rest/library/v2/items/{id}
  • Library v2: POST /spotfire/api/rest/library/v2/upload
  • Library v2: POST /spotfire/api/rest/library/v2/upload/{jobId}
  • Automation Services v1: GET /spotfire/api/rest/as/job/status/{job_id}
  • Automation Services v1: POST /spotfire/api/rest/as/job/abort/{job_id}
  • Automation Services v1: POST /spotfire/api/rest/as/job/start-content
  • Automation Services v1: POST /spotfire/api/rest/as/job/start-library

Tests use fastapi.testclient.TestClient and monkeypatch requests.Session so the client talks to the mock app in‑memory. See tests/library/upload/*.py.

Run tests:

uv run -m pytest -q

Dev Container (VS Code)

This repo ships a devcontainer for a consistent environment (Debian 12 + Python 3.13 + uv).

What you get:

  • Python 3.13 base image
  • uv installed by post-create script
  • .venv virtual environment managed by uv
  • Extensions: Python, TOML

Open it:

  1. Install “Dev Containers” in VS Code.
  2. Open the repo folder and choose “Reopen in Container”.
  3. Wait for the post-create to finish; then run:
uv sync --dev
uvx pyright
uvx ruff format --check .
uv run -m pytest -q

Notes:

  • The container uses the vscode user and exposes WORKSPACE_PATH.
  • After changing dependencies, run uv sync again.
  • If uv is not found, ensure it’s on PATH or re-run the post-create.

CI

GitHub Actions runs lint, type‑check, and tests. See .github/workflows/ci.yaml.

License

Open source. See LICENSE.

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