GoldenMatch

vgoldencheck-types-v0.1.0 scope: goldencheck-types Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 2mo Data Pipelines & ETL

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✓ No known CVEs patched

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✓ No known CVEs patched in this version

Topics

data-cleaning data-engineering data-matching data-quality deduplication entity-resolution

+14 more

fellegi-sunter fuzzy-matching knowledge-graph llm master-data-management mcp-server polars pprl python record-linkage rust splink typescript zero-config

Summary

AI summary

Updates What's in v0.1.0, Consumed by, and Published to across a mixed release.

Full changelog

First release of goldencheck-types: shared canonical field type definitions for the Golden Suite.

What's in v0.1.0

FieldSpec, DomainPack, FieldMapping, InferredSchema dataclasses (Py + matching TS interfaces)
Domain-pack YAML loader with shape validation (DomainPackError on malformed YAML)
Predicates: is_unknown, unmapped_cols (free functions, mirroring TS)
DetectionResult for richer detect_domain output
SCHEMA_VERSION = 2 (FieldSpec.name carries identity alongside dict key)
UNMAPPED_TYPE constant
LRU cache on load_domain with clear_cache for tests
Built-in domain packs: electronics (commented out for v0.1), finance, healthcare, ecommerce, generic

Consumed by

infermap (DomainPackTarget bridge to InferMap engine)
goldencheck (schema-aware mode emits unmapped_column findings)
goldenpipe (infer_schema stage)

Published to

PyPI: goldencheck-types
npm: goldencheck-types (separate tag goldencheck-types-js-v0.1.0)

See packages/python/goldencheck-types/README.md for usage.

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Earlier breaking changes

v3.1.0 `GOLDENMATCH_FRAME=polars` now requires the `[polars]` extra; raises error without it.
vgoldencheck-v3.0.0 `inferred_type` emits neutral dtype vocabulary (str/int/uint/float/date/datetime/bool/other) instead of raw Polars dtypes.
vgoldencheck-v3.0.0 'inferred_type' now emits a neutral dtype vocabulary instead of raw Polars dtype strings.
vgoldencheck-v3.0.0 `scan_file`, `scan_dataframe`, and CLI `check` now run without Polars, using Arrow-native pyarrow.Table.
v3.0.0 Result frames now return pyarrow.Table instead of Polars DataFrame.