Deeman d2352c1876 Simplify SQLMesh to use single prod gateway with virtual environments
- Remove dev gateway (local DuckDB file no longer needed)
- Single prod gateway connects to R2 Iceberg catalog
- Use virtual environments for dev isolation (e.g., dev_<username>)
- Update CLAUDE.md with new workflow and environment strategy
- Create comprehensive transform/sqlmesh_materia/README.md

Benefits:
- Simpler configuration (one gateway instead of two)
- All environments use same R2 Iceberg catalog
- SQLMesh handles environment isolation automatically
- No need to maintain local 13GB materia_dev.db file
- before_all hooks only run for prod gateway (no conditional logic needed)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-13 21:47:04 +02:00
2025-10-12 21:44:56 +02:00
2025-08-01 14:52:55 +00:00
2025-10-12 21:44:56 +02:00
2025-10-12 21:44:56 +02:00
2025-07-27 15:41:34 +02:00
2025-03-01 18:34:01 +01:00
2025-03-01 18:11:57 +01:00
2025-04-01 18:33:40 +02:00
2025-07-08 22:41:59 +02:00
2025-04-01 20:26:45 +02:00
2025-10-12 21:44:56 +02:00
2025-04-01 18:14:57 +02:00
2025-10-12 21:05:21 +02:00
2025-10-12 14:26:55 +02:00

Materia Environment Setup

We use uv as our Python package manager for faster, more reliable dependency management. https://docs.astral.sh/uv/

We recommend using vscode as your IDE. https://code.visualstudio.com/

1. Install UV

curl -LsSf https://astral.sh/uv/install.sh | sh

2. Setup the env

Simply run:

uv sync

This will install python & the dependencies declared so far

3. Setup pre-commit

pre-commit install

4. Adding a dependency

uv add requests

Managing a project with uv

https://docs.astral.sh/uv/guides/projects/#managing-dependencies

test

Description
No description provided
Readme 3.6 MiB
Languages
Python 50.7%
HTML 33.7%
Jupyter Notebook 8.3%
Shell 3.7%
CSS 2.9%
Other 0.7%