mdfy 0.5.0

Transform text into beautiful markdown, effortlessly.

mdfy

Transform text into beautiful markdown, effortlessly.

🌟 Features

• Simplicity: Just a few lines of code and voila! An intuitive architecture made simple.
• Modulability: Each module is highly independent, making it easy to use on its own.
• Customizable: Extensible design allowing for easy customization.
• Highly Tested: Robust unit tests ensure reliability.

🚀 Getting Started

Installation

pip install mdfy

Usage

Here's a quick start guide to get you up and running!

from mdfy import Mdfier, MdText, MdHeader, MdTable

contents = [
  MdHeader("Hello, MDFY!"),
  MdText("[Life:bold] is [like:italic] a bicycle."),
  MdTable(["head1": "content", "head2": "content"])
]
Mdfier("markdown.md").write(contents)

# or use a with statement to write iteratively

with Mdfier("markdown.md") as md:
  for content in contents:
    md.write(MdText(text))

# => markdown.md
#
# # Hello, MDFY!
# **Life** is *like* a bicycle.

Each mdfy element is string-convertible and can operate independently!

from mdfy import MdText, MdHeader, MdTable

print(MdHeader("Hello, MDFY!"))
print(MdText("[Life:bold] is [like:italic] a bicycle."))
print(MdTable(["head1": "content", "head2": "content"]))

# => result
#
# # Hello, MDFY!
# **Life** is *like* a bicycle.
# | head1 | head2 |
# | --- | --- |
# | content | content |

MdText Format

With MdText, you can flexibly specify text styles in a way similar to python's string formatting.

MdText("[a family:quote] of [plain-text formatting syntaxes:bold] that optionally can be [converted to [formal:italic] [markup languages:bold]:not] such as [HTML:strong]")

a family of plain-text formatting syntaxes that optionally can be converted to formal markup languages such as HTML

See MdText document for details

MdTable

MdTable offers a flexible way to convert a Python dict to a Markdown table.

data = [
    {"precision": 0.845, "Recall": 0.662},
    {"precision": 0.637, "Recall": 0.802},
    {"precision": 0.710, "Recall": 0.680},
]

print(MdTable(data))

# The result will be
# | precision | Recall |
# | --- | --- |
# | 0.845 | 0.662 |
# | 0.637 | 0.802 |
# | 0.71 | 0.68 |

To transpose a table, all you need to do is pass True to the transpose parameter.

print(MdTable(data, transpose=True))

# | Key | Value 0 | Value 1 | Value 2 |
# | --- | --- | --- | --- |
# | precision | 0.845 | 0.637 | 0.71 |
# | Recall | 0.662 | 0.802 | 0.68 |

# And you can specify header labels when transpose
labels = ["Metrics", "Model 1", "Model 2", "Model 3"]
print(MdTable(data, transpose=True, labels=labels))

# | Metrics | Model 1 | Model 2 | Model 3 |
# | --- | --- | --- | --- |
# | precision | 0.845 | 0.637 | 0.71 |
# | Recall | 0.662 | 0.802 | 0.68 |

You can also specify the precision of float values.

data = [
    {"precision": 0.84544, "Recall": 0.662765},
    {"precision": 0.63743, "Recall": 0.802697},
    {"precision": 0.718203, "Recall": 0.6802435},
]
labels = ["Metrics", "Model 1", "Model 2", "Model 3"]
print(MdTable(data, transpose=True, labels=labels, precision=3))

# | Metrics | Model 1 | Model 2 | Model 3 |
# | --- | --- | --- | --- |
# | precision | 0.845 | 0.637 | 0.718 |
# | Recall | 0.663 | 0.803 | 0.680 |

See MdTable document for details

📖 Documentation

Check out our full documentation for detailed guides and API references.

✅ Testing

To run the tests:

python -m pytest

💡 Contributing

We welcome contributions!

📜 License

This project is licensed under the MIT License. See the LICENSE file for details.