pfylter 0.1.1

A generic filtering framework using abstract composition

🔍 pfylter

pfylter is a lightweight, flexible, and extensible Python framework for applying composable filters to arbitrary data. It’s built using the composite design pattern, allowing complex logical conditions to be expressed and reused cleanly.

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🚀 Features

• ✅ Define your own filters by subclassing AbstractFilter
• ✅ Combine filters using logical AND (AllFilters) or OR (AnyFilter)
• ✅ Support for generic data types (strings, numbers, objects, etc.)
• ✅ Clean, readable syntax using list comprehensions and type hints
• ✅ Perfect for data processing, rule engines, and validation pipelines

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📦 Installation

pip install pfylter

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✨ Quick Start

1. Define Some Filters

from pfylter import LenFilter, StartsWithFilter

data = ["A", "ABCD", "B", "BCDE", "C", "AAAAAAA"]

# Only keep strings of length 4 that start with 'A'
from pfylter import AllFilters

f = AllFilters([
    LenFilter(4),
    StartsWithFilter("A")
])

print(f.apply(data))  # ['ABCD']

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2. Use OR Logic with AnyFilter

from pfylter import AnyFilter

f = AnyFilter([
    LenFilter(4),
    StartsWithFilter("A")
])

print(f.apply(data))  # ['A', 'ABCD', 'BCDE', 'AAAAAAA']

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🔄 Composing Filters

Because AllFilters and AnyFilter are themselves filters, they can be nested to build complex conditions:

from pfylter import AllFilters, AnyFilter, LenFilter, StartsWithFilter

# Keep strings that start with 'A' and have length 1 or 4
complex_filter = AllFilters([
    StartsWithFilter("A"),
    AnyFilter([
        LenFilter(1),
        LenFilter(4)
    ])
])

print(complex_filter.apply(["A", "ABCD", "AAAAAA", "B"]))  # ['A', 'ABCD']

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🛠 Creating Custom Filters

You can define custom filters by inheriting from AbstractFilter:

from pfylter import AbstractFilter

class GreaterThanFilter(AbstractFilter[int]):
    def __init__(self, threshold: int):
        self.threshold = threshold

    def keep(self, instance: int) -> bool:
        return instance > self.threshold

Now you can use this filter in combination with others!

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📝 License

MIT License — see LICENSE file for details.

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🤝 Contributing

Feel free to open issues or pull requests. All feedback is welcome!