alchemy-utils 0.1a0
Release: alchemy-utils 0.1a0 I've long pondered what a database agnostic version of my sqlite-utils Python library and CLI utility might look like. This morning (literally a shower project) I tasked Codex and GPT-5.6 Sol Ultra with building a prototype: Do a research spike to see what it would take…
Release: alchemy-utils 0.1a0 I've long pondered what a database agnostic version of my sqlite-utils Python library and CLI utility might look like. This morning (literally a shower project) I tasked Codex and GPT-5.6 Sol Ultra with building a prototype: Do a research spike to see what it would take to build a library with the same core API as SQLite-utils - in particular the insert and upsert and insert_all and upsert_all and create and update methods, and the table introspection stuff - but backed by SQLalchemy so it works for multiple database engines Test against PostgreSQL and SQLite and duckdb Use ~/dev/sqlite-utils for reference Create a git repo for this and commit and early and often - use uv init to start the project - use red/green TDD and pytest, see ~/dev/django-sql-dashboard for one idea as to how the PostgreSQL tests could work It took very few follow-up prompts to produce this project in a state good enough to release as an alpha. Here's a one-liner I can use to list the rows in a table in my local PostgreSQL copy of my blog's database: uvx --with 'alchemy-utils[postgresql]' alchemy-utils rows 'postgresql+psycopg://simon@localhost:5432/simonwillisonblog' redirects_redirect The output from that starts like this: [ { "id": 2328, "domain": "simonwillison.net", "path": "2020/May/21/apple-photos-sqlite/", "target": "/2020/May/21/dogsheep-photos/", "created": "2020-05-21T13:03:46.591692-07:00" }, { "id": 3, "domain": "feeds.simonwillison.net", "path": "swn-links", "target": "https://simonwillison.net/atom/links/", "created": "2017-10-01T14:12:54.820729-07:00" } Or if you'd like a DuckDB database with every tree in San Francisco, schema created automatically to match the file: curl 'https://raw.githubusercontent.com/simonw/sf-tree-history/refs/heads/main/Street_Tree_List.csv' | uvx --with 'alchemy-utils[duckdb]' alchemy-utils insert 'duckdb:////tmp/trees.db' trees - --csv (That one took nearly an hour the first time I ran it, so I had Codex optimize it and got it down to around 35 seconds.) Tags: databases, postgresql, projects, python, sql, sqlalchemy, sqlite, sqlite-utils, duckdb, coding-agents, codexSource: Simon Willison — Published — Category: Tools