hotdata-framework

A Python framework for building Hotdata integrations.

Shared runtime primitives for Hotdata integrations: workspace/session semantics, execution context, query state, run history, and replayable result handles. Framework packages (Marimo, Jupyter, Streamlit, LangGraph) depend on this package.

Runtime boundary and guarantees are defined in CONTRACT.md.

Features

  • Environment-driven client setup — create clients from HOTDATA_API_KEY, optional HOTDATA_API_URL, HOTDATA_WORKSPACE, and HOTDATA_SANDBOX.
  • Workspace resolution — choose an explicit workspace from env, otherwise discover workspaces and select the active workspace or first available workspace.
  • Sandbox/session propagation — pass sandbox session context through the SDK via X-Session-Id.
  • HTTP resilience — configure SDK retries for transient connection failures and retry SQL execution on stale pooled sockets.
  • SQL execution helper — run SQL through POST /v1/query, poll async query runs when needed, and return a QueryResult.
  • Result utilities — convert query results to records, pandas DataFrames, or metadata dictionaries for adapter display layers.
  • History helpers — list recent results and query run history with normalized dataclasses.
  • Managed databases — create Hotdata-owned catalogs, declare tables, upload parquet, and load managed tables (mirrors hotdata databases in the CLI).
  • Health helpers — build compact API/workspace health summaries for UI integrations.

Install:

uv pip install hotdata-framework
# or: pip install hotdata-framework

Example:

python examples/basic_usage.py

Development (uses uv; creates .venv/ in this repo):

uv sync --locked
uv run pytest

uv.lock is checked in so CI can run uv sync --locked. The default dev group (pytest) is enabled via [tool.uv] default-groups.

Project links

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  • Released:
Newer release available (0.12.0)

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GitHub Statistics

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License

MIT License (MIT)

Requires

Python >=3.10

Tags

analytics arrow data framework hotdata pandas python sql

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