Motivation

• Provide a minimal, uv-managed Python foundation to ingest real-time and historical ETH/USDT orderbook data from Binance and OKX and prepare for order placement.
• Include a reproducible development and deployment setup using Docker Compose and PostgreSQL for storage.
• Enable fast local validation via a simulated-data generator so parsing and storage logic can be exercised without live API access.

Description

• Add project metadata and dependencies with pyproject.toml and a uv-friendly entrypoint script (orderbook_app.__main__:main).
• Implement orderbook models (models.py) and parsers for Binance and OKX payloads (connectors/binance.py, connectors/okx.py) with a shared parse_levels helper.
• Add async PostgreSQL helpers (storage/db.py) that create the orderbook_updates table and provide init_db/insert_update using asyncpg, and wire a simulated ingest flow in __main__.py that uses services/simulated.py.
• Provide deployment artifacts: Dockerfile to build a container using uv and docker-compose.yml to start db (Postgres) and app, and document required REST/WebSocket endpoints and API permissions in README.md.

Testing

• Added unit tests in tests/test_parsers.py that validate Binance/OKX snapshot/update parsing and the simulated update generator; these are runnable with pytest.
• No automated tests were executed as part of this change (tests added but not run locally or in CI).

Codex Task