Colorize text and data structures in the terminal with ANSI escape codes and themed decorators.
Project description
ColorDoll: Nested ANSI Colorization for Python
ColorDoll is a Python library that provides flexible and powerful ANSI colorization, including nested colorization and theming for complex data structures like dictionaries, lists, JSON, and YAML strings.
And, it's fairly Quick.
🚀 Performance Benchmarks ⏱️
(amd 3800, 3200mhz ram, single XPG-8200 nvme, win11) - v0.1.7
| Function | Runs | Min Time (sec) | Max Time (sec) | Avg Time (sec) | As milliseconds | Runs / second |
|---|---|---|---|---|---|---|
colorize |
10,000 | 0.000006 | 0.000006 | 0.000006 | 0.006 | ~166000 |
theme_colorize |
10,000 | 0.000046 | 0.000047 | 0.000047 | 0.047 | ~21000 |
| Themed Decorator | 10,000 | 0.000015 | 0.000015 | 0.000015 | 0.015 | ~66000 |
Features
- Nested Colorization: Handles nested ANSI color codes gracefully, ensuring correct color rendering even with complex formatting.
- Theming: Supports predefined and custom themes for consistent colorization across your output.
- Data Structure Coloring: Colorizes dictionaries, lists, JSON, and YAML strings recursively, highlighting keys, values, and different data types.
- Decorator Support: Provides decorators for easily colorizing function outputs and applying themes, including monotone (single-color) wraps.
- Customizable Configurations: Allows loading color configurations from JSON or YAML files/strings, or dictionaries.
- YAML Output: Provides a handler for colorized YAML output of structured data.
- Color Removal: Includes a utility handler to strip ANSI color codes from output.
- Extensible Output Formatting: Supports custom output handlers for diverse formatting needs.
Installation
pip install colordoll
For YAML-specific features (like YamlHandler or loading YAML configurations), you'll also need PyYAML:
pip install PyYAML
Alternatively, you might be able to install with an extra:
pip install colordoll[yaml]
(Check the project's setup.py or pyproject.toml for available extras.)
Usage
Basic Colorization
from colordoll import default_colorizer, red, blue, bright_black, bg_blue
# Using color functions
print(red("This is red text."))
print(blue("This is blue text."))
# Using the colorize method with foreground and background colors
yellow_text = default_colorizer.colorize("This is yellow text on blue background\nSome terminals have trouble with both, but it is there on highlight", "yellow")
added_bg = bg_blue(yellow_text)
print(added_bg)
# Handling nested colors correctly
print(bright_black(f"This is {red('red text')} inside grey text."))
Themed Colorization (JSON/Dict)
The default output handler formats data structures like dictionaries and lists into a JSON-like string.
from colordoll import default_colorizer, darktheme, vibranttheme, DataHandler
# Ensure default handler is DataHandler (it usually is by default)
default_colorizer.set_output_handler(DataHandler())
@darktheme
def get_data():
return {"key1": "value1", "key2": [1, 2, 3], "key3": True}
@vibranttheme
def get_other_data():
return [{"name": "Item 1", "value": 10}, {"name": "Item 2", "value": 20}]
print(get_data())
print(get_other_data())
Monotone Theming (Wrap Decorators)
Quickly theme an entire structured output with a single color using wrap decorators.
from colordoll import wrapmono
@wrapmono("red")
def get_all_red_data():
return {"alert": "System critical", "items": [1, 2, 3], "active": False}
@wrapmono("green")
def get_all_green_data():
return {"info": "System nominal", "details": {"status": "OK", "code": 200}}
print(get_all_red_data())
print(get_all_green_data())
Custom Themes and Configurations
from colordoll import Colorizer, ColorConfig, DataHandler
# Ensure DataHandler is used for this example if not default
custom_colorizer = Colorizer(output_handler=DataHandler())
# Load a custom color configuration from a JSON file
# config = ColorConfig("my_colors.json") # my_colors.json contains your custom color definitions
# colorizer_with_custom_config = Colorizer(config, output_handler=DataHandler())
# Create a custom theme
my_theme = {"key": "bright_magenta", "string": "cyan", "number": "yellow", "bool": "green", "null": "red", "other": "blue"}
# Colorize data using the custom theme
data_to_color = {"my_key": "my_value", "numbers": [1.00, 2.6, 3], "valid": None}
colored_data = custom_colorizer.theme_colorize(data_to_color, my_theme)
print(colored_data)
YAML Output
ColorDoll can output data as colorized YAML. Requires PyYAML.
from colordoll import default_colorizer, YamlHandler, light_theme_colors
# Set the output handler to YamlHandler
default_colorizer.set_output_handler(YamlHandler())
my_data = {"project": "ColorDoll", "version": "0.1", "features": ["theming", "yaml_output", "nested_colors"], "config": {"active": True, "level": 5}}
colored_yaml_output = default_colorizer.theme_colorize(my_data, light_theme_colors)
print(colored_yaml_output)
# Remember to set the handler back if you need JSON/Dict output later
# from colordoll import DataHandler
# default_colorizer.set_output_handler(DataHandler())
Removing ANSI Colors
You can strip ANSI color codes from the output.
from colordoll import default_colorizer, ColorRemoverHandler, DataHandler, vibrant_theme_colors
# Sample data
data_to_process = {"message": "This is a colorful message!", "id": 12345}
# 1. Get a normally colored output (using DataHandler)
default_colorizer.set_output_handler(DataHandler())
normally_colored_output = default_colorizer.theme_colorize(data_to_process, vibrant_theme_colors)
print(f"Normally Colored:\n{normally_colored_output}")
# 2. Get output with colors stripped (using ColorRemoverHandler)
# ColorRemoverHandler internally uses DataHandler to format, then strips colors.
default_colorizer.set_output_handler(ColorRemoverHandler())
stripped_output = default_colorizer.theme_colorize(data_to_process, vibrant_theme_colors)
print(f"\nColors Stripped:\n{stripped_output}")
# Set handler back to DataHandler for normal operations if needed
default_colorizer.set_output_handler(DataHandler())
Examples Above in terminal
Contributing
Contributions are welcome! Please feel free to submit pull requests or open issues.
License
This project is licensed under the MIT License.
Change Log
v0.1.8
- Default theme in colorizer
Colorizer.set_theme({})to set theme to use withColorizer.theme_colorize(text)making the theme input optional for temp over-riding.- Wrapping themes can now take a bool asnd pass return value and print at the same time.. see examples in demo.
v0.1.7
- Updated performance benchmarks with latest figures for v0.1.7.
- Improved internal logic for
colorizefor more robust nested color and background/foreground combination handling. - Documentation enhancements and README update to reflect new features.
- General code cleanup and minor internal refinements.
v0.1.6
- Added "monotone wrap" decorators (e.g.,
@wrapmono("red")) for quick single-color theming of structured data output. - Expanded the set of direct color applicationns to strings to have all bg coloring as well.
v0.1.5
- Implemented
ColorRemoverHandlerto strip ANSI escape codes from formatted output, allowing for easy generation of plain text versions.
v0.1.4
- Added
YamlHandlerfor colorized YAML output of dictionaries and lists. RequiresPyYAML. - Enhanced
ConfigLoaderto support loading color configurations from YAML files and strings, in addition to JSON and dictionaries.
v0.1.3
- Introduced a pluggable
OutputHandlersystem (OutputHandler,DataHandler) allowing for more flexible and extensible output formatting. - Refactored
Colorizerto utilize the newOutputHandlersystem fortheme_colorizeoperations.
v0.1.2
- Added performance benchmarks (
bench.py) to the repository. - Minor refactorings and code improvements.
v0.1 (Initial Release)
- Implemented core colorization functionality for basic string coloring.
- Created robust nested colorization and background colorization abilities.
- Introduced theming for structured data (dictionaries, lists) and decorator support (
@darktheme, etc.). - Enabled custom color configurations via dictionaries (and implicitly JSON files).
- Included various pre-defined themes (dark, light, vibrant, minimalist).
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