sirius-cli 0.2.1

A rapid prototyping tool for generating containerized backend + frontend CRUD stacks from CSV/SQLite files.

Sirius-CLI

A rapid prototyping CLI tool designed to take multiple CSV files, Excel spreadsheets, a SQLite database, or a JSON configuration file as inputs, automatically infer their structural schemas and relationships, and generate:

• A production-grade, container-ready FastAPI backend (with SQLAlchemy models, Pydantic v2 validation schemas, and automated Alembic migrations).
• A modular, responsive, multi-page React 18 (TypeScript, Vite, Tailwind CSS) CRUD frontend with dynamic relational selectors and a beautiful Dashboard.

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Key Capabilities

• Automatic Relationship Mapping: Automatically extracts foreign keys from databases and resolves CSV/Excel associations using naming heuristics (linking [table]_id fields), navigating irregular English plurals effortlessly.
• Auto-Seeding: Automatically seeds the generated database with the entries inside the source CSV/Excel files during migration (if using SQLite).
• Relational Integrity: Generates dropdowns in the UI for foreign keys and displays badges that navigate to parent entities.
• Enterprise Data Grid: The generated tables feature server-side searching (?search=), server-side column sorting (?order_by=), and dual data export buttons (CSV and Excel .xlsx).
• Dashboard Analytics: A built-in Recharts dashboard showing live dataset distribution and entity insights.
• Multiple Database Engines: Target SQLite for rapid local prototyping, or generate PostgreSQL and MySQL ready projects out of the box using --pg and --mysql.
• Iterative Updates: Use sirius-update to safely inject new tables or columns into an existing scaffolded project.

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Installation

Install the package directly from PyPI:

pip install sirius-cli

(For local development: clone the repository and run pip install -e .)

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Usage: Creating a New Project (sirius-init)

1. Generating from CSVs or Excel

# From CSVs
sirius-init store_system --csv examples/users.csv --csv examples/orders.csv --theme violet

# From Excel
sirius-init store_system --excel examples/products.xlsx --theme amber

2. Target Production Databases

By default, the stack uses an embedded SQLite file (app.db). You can target Postgres or MySQL instead:

sirius-init billing_system --config schema.json --pg

(The generated docker-compose.yml and database.py will expect a DATABASE_URL environment variable).

3. Generating from JSON Configuration

Specify database schemas, relationships, and colors in a JSON file:

{
  "project_name": "billing_system",
  "theme": "emerald",
  "entities": {
    "customers": {
      "columns": [
        { "name": "id",        "type": "Integer", "is_pk": true },
        { "name": "name",      "type": "String" },
        { "name": "email",     "type": "String" },
        { "name": "is_active", "type": "Boolean" }
      ]
    },
    "invoices": {
      "columns": [
        { "name": "id",          "type": "Integer", "is_pk": true },
        { "name": "ref_no",      "type": "String" },
        { "name": "amount",      "type": "Float" },
        { "name": "customer_id", "type": "Integer", "foreign_key": "customers.id" },
        { "name": "created_at", "type": "DateTime" }
      ]
    }
  }
}

Then run:

sirius-init --config examples/billing-config.json

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Usage: Updating an Existing Project (sirius-update)

If your data requirements change (e.g., adding a reviews table to your store), you don't need to start from scratch. Use sirius-update to merge new schemas into an existing project.

sirius-update ./store_system --csv examples/new_reviews.csv

Sirius-CLI will:

1. Regenerate your SQLAlchemy models and Pydantic schemas.
2. Regenerate your frontend routing and CRUD views.
3. Automatically run alembic revision --autogenerate and alembic upgrade head to apply the database migrations seamlessly.

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All CLI Flags

sirius-init / sirius-update

Flag	Short	Default	Description
--csv			Path to a CSV file (repeatable)
--excel			Path to an Excel .xlsx/.xls file (repeatable)
--db			Path to a SQLite .db file
--config	-c		Path to a JSON config file
--theme	-t	blue	Frontend color theme (blue, indigo, emerald, amber, rose, sky, violet)
--out	-o	.	Output directory (only for init)
--port	-p	8000	Backend port (used in Dockerfile, docker-compose, .env)
--api-url		http://localhost:<port>	Override the frontend VITE_API_URL
--no-seed		false	Skip seeding the DB from source CSV/Excel files
--pg		false	Generate Postgres connection pool and drivers
--mysql		false	Generate MySQL connection pool and drivers

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Running the Scaffolded Stack

Using Docker Compose

cd <project_name>
docker compose up --build

Running Locally

1. Start Backend:

   cd <project_name>/backend
   pip install -r requirements.txt
   uvicorn backend.main:app --reload --port 8000
   

2. Start Frontend:

   cd <project_name>/frontend
   npm install
   npm run dev
   

   Open http://localhost:5173/ in your browser.

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License & Commercial Use

Sirius-CLI is open-source and released under the GNU AGPLv3 License.

This is a strong copyleft license that ensures the project remains free and open. By using this software, you agree that any modifications or larger works incorporating this tool that are distributed or provided as a network service (SaaS) must also be open-sourced under the same AGPLv3 license.

Dual Licensing for Enterprise If your organization wishes to use Sirius-CLI in proprietary, closed-source software without being subject to the open-source requirements of the AGPLv3, a Commercial License is available for purchase. Please contact the maintainer for more details on enterprise licensing.