singularitysql 0.1.0

SQL Server stored procedure introspection and Pydantic model generator

SQL Server → Pydantic v2. Automatically.

Singularity bridges the gap between SQL Server and Python. Connect to your database, point at a stored procedure, and get a Pydantic v2 model — as a runtime class or a .py file you can commit.

singularity --config config.toml

from singularity import SQLServerIntrospector, generate_model

introspector = SQLServerIntrospector("DRIVER={ODBC Driver 17};SERVER=...;DATABASE=...")
meta = introspector.introspect("usp_GetOrders")
model = generate_model(meta, mode="dynamic")
# <class 'pydantic.main.UspGetOrders'>

Why Singularity?

The problem: You have dozens of complex stored procedures in SQL Server. Calling them from Python means manually writing Pydantic models for every parameter and result set. One typo, and you get a runtime error.

The solution: Singularity reads SQL Server's system catalog (sys.parameters, sp_describe_first_result_set) and generates the models for you. Zero manual mapping.

Approach	Lines of code	Maintainable	Type-safe
Manual Pydantic models	100s–1000s	❌	⚠️ (manual)
Raw dicts / tuples	Fewer	❌	❌
Singularity	Zero	✅	✅

Features

• 🔌 Auto-connect — pyodbc connection with @@VERSION detection
• 🧠 Version-aware — Modern (2016+), Legacy (2008–2014), and Azure SQL strategies
• 📦 Two output modes:
  • "dynamic" — create_model() at runtime, usable immediately
  • "source" — .py files you can commit and review
• 🏷️ Full type mapping — INT→int, VARCHAR→str, DATETIME→datetime, BIT→bool, etc.
• 🎨 Configurable naming — snake_case, camelCase, PascalCase for field names
• 🗂️ File naming templates — {schema}_{sp_name}.py, {database}_{sp_name}.py, etc.
• 🛡️ Nullable awareness — Optional[T] for nullable columns
• ⚡ UV-first — fast dependency management

Installation

uv add singularity
# or
pip install singularity

Prerequisite: ODBC Driver for SQL Server (17 or 18).

Quick Start

1. Create a config file

# config.toml
[connection]
server = "localhost"
database = "AdventureWorks"
driver = "ODBC Driver 18 for SQL Server"
trusted_connection = true

[sp_selection]
pattern = "usp_%"

[output]
directory = "generated_models"
mode = "source"
file_naming = "{schema}_{sp_name}.py"
naming_convention = "snake_case"

2. Generate models

singularity --config config.toml

Connected. Detected version: modern
  Introspecting usp_GetOrders... → generated_models/dbo_usp_GetOrders.py
  Introspecting usp_GetCustomers... → generated_models/dbo_usp_GetCustomers.py

Done. 2 succeeded, 0 failed.

3. Use the generated models

from generated_models.dbo_usp_GetOrders import UspGetOrders

order = UspGetOrders(id=1, customer_name="Acme Corp", total=99.99)

Library Usage

from singularity import SQLServerIntrospector, generate_model

# Connect and introspect
introspector = SQLServerIntrospector(conn_str)
introspector.connect()
version = introspector.detect_version()  # ServerVersion.MODERN
metadata = introspector.introspect("usp_GetOrders")

# Runtime model
DynamicModel = generate_model(metadata, mode="dynamic")
instance = DynamicModel(id=1, customer_name="Acme")

# Source code string
source_code = generate_model(metadata, mode="source")
with open("models/usp_GetOrders.py", "w") as f:
    f.write(source_code)

Configuration Reference

[connection]

Field	Required	Default	Description
server	✅	—	Server hostname or IP
database	✅	—	Database name
driver	❌	ODBC Driver 18 for SQL Server	ODBC driver name
trusted_connection	❌	true	Use Windows auth
username	❌	—	SQL auth username
password	❌	—	SQL auth password

[sp_selection]

Field	Required	Description
procedures	❌	Explicit list of SP names
pattern	❌	Wildcard pattern (e.g. usp_%)

At least one of procedures or pattern must be specified.

[output]

Field	Required	Default	Description
directory	❌	.	Output directory
mode	❌	source	source or dynamic
file_naming	❌	{sp_name}.py	Template with {schema}, {database}, {sp_name}
naming_convention	❌	snake_case	snake_case, camelCase, or PascalCase

Supported SQL Server Versions

Version	Strategy	Parameter introspection	Result set metadata
2016+	Modern	sys.parameters	sp_describe_first_result_set
2008–2014	Legacy	sys.parameters	sp_describe_first_result_set + sys.columns fallback
Azure SQL	Azure	sys.parameters	sys.dm_exec_describe_first_result_set

Type Mapping

SQL Server	Python	Pydantic
INT, BIGINT, SMALLINT, TINYINT	int	int
VARCHAR, NVARCHAR, CHAR, NCHAR, TEXT	str	str
DATETIME, DATETIME2, DATE, SMALLDATETIME	datetime	datetime
BIT	bool	bool
DECIMAL, NUMERIC, FLOAT, REAL, MONEY	float	float
UNIQUEIDENTIFIER	str	str
Unknown types	str + warning	str

Development

# Clone and install
git clone https://github.com/Samuel-Urrego/Singularity
cd singularity
uv sync

# Run tests
uv run pytest

# Lint and type-check
uv run ruff check .
uv run mypy singularity/

# Install pre-commit hooks
uv run pre-commit install

License

MIT — see LICENSE for details.