athena2duckdb 0.1.1

OMOP Athena → DuckDB

athena2duckdb converts an extracted OMOP vocabulary download from OHDSI Athena into a ready-to-query DuckDB file with typed CDM tables, primary keys, and automatic row-count validation. The loader ingests the standard OMOP vocab files (CONCEPT.csv, VOCABULARY.csv, etc.) and skips auxiliary exports like CONCEPT_CPT4.csv or README.txt by default.

Features

• Discovers standard OMOP vocabulary files such as CONCEPT.csv, VOCABULARY.csv, CONCEPT_RELATIONSHIP.csv, and more.
• Streams each file into DuckDB using read_csv with quoting/escaping disabled, preventing parse failures caused by embedded quotes or backslashes, while the CLI shows a live progress bar per table.
• Loads recognised vocab files into typed tables (INTEGER, DATE, VARCHAR) that match the CDM DDL with primary keys already enforced (secondary indexes can be added later if needed).
• Always performs row-count verification to ensure the database matches source files.

Installation

From PyPI:

pip install athena2duckdb

For local development:

uv sync

or build/install directly from the project root:

uv build
pip install dist/athena2duckdb-*.whl

CLI Usage

uv run athena2duckdb /path/to/athena-export --verbose

Arguments:

Example

uv run athena2duckdb data/

Sample output:

Loaded 10 tables into omop_vocab.duckdb.
Tables: concept, concept_ancestor, concept_class, concept_relationship, concept_synonym,
domain, drug_strength, source_to_concept_map, relationship, vocabulary
OK        table=concept                  csv_rows=93,547 table_rows=93,547
...

Programmatic API

from pathlib import Path
from athena2duckdb import CSVOptions, load_vocab_dir, verify_row_counts

summary = load_vocab_dir(Path("data"), Path("omop_vocab.duckdb"), schema="cdm")
results = verify_row_counts(summary.db_path, summary.vocab_files, schema=summary.schema)

Testing

uv run pytest

Releasing

See RELEASING.md.

License

This project is licensed under the MIT License. See LICENSE.