v0.2.3

Migrate functional tests from pytest fixtures to inline mocks

• Replace all pytest fixtures with inline aioresponses mocks
• Each test now sets up its own mocks using helper functions
• Tests are more explicit and self-contained

v0.1.9

Changes

• Fix CLI to auto-route ACS variables (B prefix) to acs_variables parameter
• Achieve 100% branch coverage with functional tests
• Add tests for CLI ACS variable handling
• Fix pl94171 parser edge case coverage

Full Changelog

v0.1.8...v0.1.9

v0.1.8

Changes

• Achieve 100% branch coverage with functional tests only
• Handle missing ACS tracts/variables gracefully with conditionals
• Add output example and ACS variables table to README
• All 140 tests passing

v0.1.3

Changes

• Improved test coverage to 89%
• Cleaned up internal code and removed unused features
• Fixed CI workflow

v0.1.2

Bug Fixes

• Fixed census data aggregation for tract/county/state lookups: Previously, querying census data at geographic levels higher than block (tract, block_group, county, state) would return incorrect values. The DuckDB queries now properly aggregate (SUM) block-level data when querying at higher geographic levels.

Improvements

• Added GeoLevel.from_geoid_length() class method for auto-detecting geographic level from GEOID string length
• Updated get_variables_for_geoid() to auto-detect geo_level if not provided
• Added comprehensive tests for DuckDB aggregation at all geographic levels
• Fixed all ruff linting errors

Metadata

• Updated package description to reflect ACS support
• Updated GitHub repo description and topics

v0.1.1

Changes

• Auto-download data by default - just run uvx census-lookup lookup and it works
• Added --no-download flag for offline use
• Data sources section in README with Census Bureau links

Installation

uvx census-lookup lookup "123 Main St, LA, CA 90012"

v0.1.0

Initial release

Features

• Offline geocoding using TIGER Address Range files (~95% match rate)
• PL 94-171 redistricting data (population, race, housing) at block level
• ACS 5-Year estimates (income, education, employment) at tract level
• Configurable geographic levels (block, block group, tract, county)
• Lazy per-state data downloading
• CLI and Python API
• Batch processing with progress bars

Installation

# Using uv (recommended)
uv add census-lookup

# Using pip
pip install census-lookup

# Run CLI without installing
uvx census-lookup lookup "123 Main St, LA, CA 90012"