smartseeds 0.4.0

Essential utilities that grow smart solutions - shared utilities for the smart* ecosystem

SmartSeeds 🌱

Essential utilities that grow smart solutions

SmartSeeds is a lightweight, zero-dependency Python library providing core utilities for the smart* ecosystem (smartroute, smartasync, etc.). Think of it as the seeds from which smart solutions grow.

Features

• extract_kwargs: Decorator for extracting and grouping keyword arguments by prefix
• SmartOptions: Intelligent options merging with filtering and defaults
• safe_is_instance: Check instance types by class name without importing
• ascii_table: Generate beautiful ASCII and Markdown tables with formatting, hierarchies, and type support
• Three flexible styles: Prefix style, dict style, and boolean activation
• Zero dependencies: Pure Python standard library
• Full type hints: Complete typing support

Installation

pip install smartseeds

Quick Start

extract_kwargs Decorator

Extract kwargs by prefix into separate parameter groups - supports three convenient styles:

from smartseeds import extract_kwargs

@extract_kwargs(logging=True, cache=True)
def setup_service(name, logging_kwargs=None, cache_kwargs=None, **kwargs):
    print(f"Logging config: {logging_kwargs}")
    print(f"Cache config: {cache_kwargs}")
    print(f"Other: {kwargs}")

# Style 1: Prefix style (most explicit)
setup_service(
    name="api",
    logging_level="INFO",      # → logging_kwargs={'level': 'INFO'}
    logging_format="json",     # → logging_kwargs={'format': 'json'}
    cache_ttl=300,             # → cache_kwargs={'ttl': 300}
    timeout=30                 # → kwargs={'timeout': 30}
)

# Style 2: Dict style (compact)
setup_service(
    name="api",
    logging={'level': 'INFO', 'format': 'json'},
    cache={'ttl': 300}
)

# Style 3: Boolean activation (use defaults)
setup_service(
    name="api",
    logging=True,  # → logging_kwargs={} (empty dict for defaults)
    cache=True
)

SmartOptions - Intelligent Option Merging

Merge incoming options with defaults, with automatic filtering:

from smartseeds import SmartOptions

# Basic merge: incoming overrides defaults
opts = SmartOptions(
    incoming={'timeout': 10, 'retries': None},
    defaults={'timeout': 5, 'retries': 3, 'debug': False}
)
print(opts.timeout)  # 10 (from incoming)
print(opts.retries)  # None (from incoming)
print(opts.debug)    # False (from defaults)

# Ignore None values
opts = SmartOptions(
    incoming={'timeout': None, 'retries': 5},
    defaults={'timeout': 30, 'retries': 3},
    ignore_none=True  # Skip None from incoming
)
print(opts.timeout)  # 30 (default kept, None ignored)
print(opts.retries)  # 5 (from incoming)

# Ignore empty collections
opts = SmartOptions(
    incoming={'tags': [], 'name': ''},
    defaults={'tags': ['prod'], 'name': 'default'},
    ignore_empty=True  # Skip empty strings/lists/dicts
)
print(opts.tags)  # ['prod'] (default kept)
print(opts.name)  # 'default' (default kept)

# Convert back to dict
config_dict = opts.as_dict()

safe_is_instance - Type Checking Without Imports

Check if an object is an instance of a class using only the class name string, without importing the class. Perfect for avoiding circular imports:

from smartseeds import safe_is_instance

# Check instance without importing the class
class MyModel:
    pass

obj = MyModel()

# Traditional isinstance requires import
# from mypackage.models import BaseModel
# isinstance(obj, BaseModel)  # Circular import risk!

# safe_is_instance uses string class name - no import needed
assert safe_is_instance(obj, f"{MyModel.__module__}.{MyModel.__qualname__}")

# Works with inheritance
class Base:
    pass

class Derived(Base):
    pass

obj = Derived()
assert safe_is_instance(obj, f"{Derived.__module__}.{Derived.__qualname__}")
assert safe_is_instance(obj, f"{Base.__module__}.{Base.__qualname__}")  # Parent class!

# Works with builtins
assert safe_is_instance(42, "builtins.int")
assert safe_is_instance("hello", "builtins.str")

ascii_table - Beautiful Tables with Zero Dependencies

Generate formatted ASCII and Markdown tables with type-aware formatting, hierarchies, and text wrapping:

from smartseeds import render_ascii_table, render_markdown_table

# Create a formatted table
data = {
    "title": "Sales Report",
    "headers": [
        {"name": "Region", "type": "str", "align": "left"},
        {"name": "Revenue", "type": "float", "format": ".2f", "align": "right"},
        {"name": "Active", "type": "bool", "align": "center"},
        {"name": "Updated", "type": "date", "format": "dd/mm/yyyy"}
    ],
    "rows": [
        ["North", 125430.50, "yes", "2025-11-24"],
        ["South", 98765.25, "no", "2025-11-23"]
    ]
}

print(render_ascii_table(data))
# Output:
#                     Sales Report
# +--------+-----------+--------+------------+
# | Region |   Revenue | Active | Updated    |
# +--------+-----------+--------+------------+
# | North  | 125430.50 |  true  | 24/11/2025 |
# +--------+-----------+--------+------------+
# | South  |  98765.25 |  false | 23/11/2025 |
# +--------+-----------+--------+------------+

# Export to Markdown
print(render_markdown_table(data))
# Output:
# | Region | Revenue | Active | Updated |
# | --- | --- | --- | --- |
# | North | 125430.50 | true | 24/11/2025 |
# | South | 98765.25 | false | 23/11/2025 |

Features:

• Type formatting: str, int, float, bool, date, datetime with custom formats
• Hierarchical data: Automatic indentation for tree structures
• Text wrapping: Handles long content with configurable max width
• ANSI colors: Terminal colors don't affect layout
• Markdown export: Generate documentation-ready tables

Use in smart* Ecosystem

SmartSeeds is designed to be used by other smart* tools:

# In smartroute, smartasync, etc.
from smartseeds import extract_kwargs

class Service:
    @extract_kwargs(logging=True, async_mode=True)
    def __init__(self, name=None, logging_kwargs=None, async_kwargs=None, **kwargs):
        # Plugin configuration extracted automatically
        if logging_kwargs:
            self.plug('logging', **logging_kwargs)
        if async_kwargs:
            self.plug('async', **async_kwargs)

Why extract_kwargs?

Traditional approaches to nested configuration have problems:

❌ Explicit parameters (verbose)

def connect(host, port, logging_level=None, logging_format=None, logging_file=None):
    logger = Logger(level=logging_level, format=logging_format, file=logging_file)

❌ Catch-all kwargs (unclear)

def connect(host, port, **kwargs):
    # What kwargs are valid? Users don't know!
    logger = Logger(**kwargs)

✅ extract_kwargs (clear + flexible)

@extract_kwargs(logging=True)
def connect(host, port, logging_kwargs=None):
    if logging_kwargs:
        logger = Logger(**logging_kwargs)

# All these work and are clear:
connect('localhost', 8000, logging_level='INFO')
connect('localhost', 8000, logging={'level': 'INFO'})
connect('localhost', 8000, logging=True)

Documentation

Full documentation available at: https://smartseeds.readthedocs.io

Part of the Smart* Family

SmartSeeds is part of the Genropy smart* toolkit:

• smartroute - Instance-scoped routing engine with plugin architecture
• smartasync - Async utilities
• smartpublisher - CLI/API framework based on SmartRoute

License

MIT License - see LICENSE file for details.

Contributing

Contributions welcome! Please read our Contributing Guidelines first.