muscles-sql 1.0.1

Muscles SQL data layer for repositories, migrations and AI-first workflow.

Muscles SQL

Muscles SQL is a data layer package for SQL databases:

• model-to-table mapping
• engine and session management
• repository CRUD and advanced query API (filters/operators/joins/aggregates)
• transactions and Unit of Work (nested/savepoint/retry helpers)
• migrations v2 commands (Alembic-compatible lazy-load)
• inspect/doctor support with machine-readable diagnostics

Related Repositories

• muscles - core schemas, actions, DI and canonical documentation.
• muscles-documents - document metadata/state can use SQL persistence in applications.
• muscles-ai - AI/RAG flows can use SQL-backed application state without making SQL generic storage.
• muscles-otel - observability hooks around SQL-backed flows.
• muscles-benchmarks - SQL transaction and mapping regression checks.

Quickstart

python -m venv .venv
source .venv/bin/activate
pip install muscles-sql

For local development with the test dependencies:

pip install -e ".[dev]"
pytest -q
muscles-sql doctor --url sqlite:///./app.db

Named SQL Connections

muscles-sql can manage multiple SQL connections without becoming a generic storage registry. The registry is SQL-only: it owns SQL connection configs, lazy SQLAlchemy EngineManager instances, sessions, inspect and doctor reports.

from muscles_sql import SqlConnectionConfig, SqlConnectionRegistry

registry = SqlConnectionRegistry(
    [
        SqlConnectionConfig(name="default", url="sqlite:///./app.db"),
        SqlConnectionConfig(name="analytics", url="sqlite:///./analytics.db", role="read"),
    ]
)

session = registry.session("analytics")
report = registry.inspect("analytics")

CLI diagnostics can read a JSON config:

{
  "connections": {
    "default": "sqlite:///./app.db",
    "analytics": {"url": "sqlite:///./analytics.db", "role": "read"}
  }
}

muscles-sql inspect --config sql-connections.json --connection analytics
muscles-sql doctor --config sql-connections.json --all

Diagnostic output uses safe URLs and does not print passwords from DSNs.

Advanced Query Example

from sqlalchemy import func
from muscles_sql import FilterClause, JoinClause, QuerySpec, SqlRepository

spec = QuerySpec(
    filters=[FilterClause("status", "eq", "active")],
    joins=[JoinClause(table=orders, on=users.c.id == orders.c.user_id)],
    select_columns=[users.c.id, func.count(orders.c.id).label("orders_total")],
    group_by=[users.c.id],
    order_by=[users.c.id.asc()],
)
rows = SqlRepository(session, users).aggregate(spec)