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https://github.com/emcd/python-detextive


https://github.com/emcd/python-detextive

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| |
| Licensed under the Apache License, Version 2.0 (the "License"); |
| you may not use this file except in compliance with the License. |
| You may obtain a copy of the License at |
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| http://www.apache.org/licenses/LICENSE-2.0 |
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*******************************************************************************
detextive
*******************************************************************************

.. image:: https://img.shields.io/pypi/v/detextive
:alt: Package Version
:target: https://pypi.org/project/detextive/

.. image:: https://img.shields.io/pypi/status/detextive
:alt: PyPI - Status
:target: https://pypi.org/project/detextive/

.. image:: https://github.com/emcd/python-detextive/actions/workflows/tester.yaml/badge.svg?branch=master&event=push
:alt: Tests Status
:target: https://github.com/emcd/python-detextive/actions/workflows/tester.yaml

.. image:: https://emcd.github.io/python-detextive/coverage.svg
:alt: Code Coverage Percentage
:target: https://github.com/emcd/python-detextive/actions/workflows/tester.yaml

.. image:: https://img.shields.io/github/license/emcd/python-detextive
:alt: Project License
:target: https://github.com/emcd/python-detextive/blob/master/LICENSE.txt

.. image:: https://img.shields.io/pypi/pyversions/detextive
:alt: Python Versions
:target: https://pypi.org/project/detextive/

🕵️ A Python library which provides consolidated text detection
capabilities for reliable content analysis. Offers MIME type detection,
character set detection, and line separator processing.

Key Features ⭐
===============================================================================

🔍 **MIME Type Detection**
Intelligent content-based detection using magic bytes with file extension
fallback for comprehensive format identification.

📝 **Character Encoding Detection**
Statistical analysis with UTF-8 optimization and validation through decode
operations for reliable text processing.

📄 **Line Separator Processing**
Cross-platform line ending detection and normalization supporting CR, LF,
and CRLF formats with mixed-content handling.

✅ **Textual Content Validation**
Smart classification of MIME types and content reasonableness assessment
using control character and printability heuristics.

Installation 📦
===============================================================================

Method: Install Python Package
-------------------------------------------------------------------------------

Install via `uv `_ ``pip``
command:

::

uv pip install detextive

Or, install via ``pip``:

::

pip install detextive

Examples 💡
===============================================================================

Basic Usage
-------------------------------------------------------------------------------

**MIME Type and Charset Detection**:

Load your content as bytes:

.. code-block:: python

import detextive

with open( 'document.txt', 'rb' ) as file:
content = file.read( )

You can detect MIME type and charset individually:

.. code-block:: python

mimetype = detextive.detect_mimetype( content, location = 'document.txt' )
charset = detextive.detect_charset( content )

Or use combined inference for better accuracy:

.. code-block:: python

mimetype, charset = detextive.infer_mimetype_charset(
content, location = 'document.txt' )
print( "Detected: {mimetype} with {charset} encoding".format(
mimetype = mimetype, charset = charset ) )

**Line Separator Processing**:

Detect line separators in mixed content:

.. code-block:: python

import detextive

content = 'Line 1\r\nLine 2\rLine 3\n'
separator = detextive.LineSeparators.detect_bytes( content.encode( ) )

Normalize line separators to Python standard:

.. code-block:: python

normalized = detextive.LineSeparators.normalize_universal( content )

Convert to platform-specific line separators:

.. code-block:: python

native = detextive.LineSeparators.CRLF.nativize( normalized )

**Content Classification**:

Check if MIME types represent textual content:

.. code-block:: python

import detextive

detextive.is_textual_mimetype( 'application/json' ) # True
detextive.is_textual_mimetype( 'image/jpeg' ) # False

Validate that decoded text content is reasonable:

.. code-block:: python

text = "Hello world!"
detextive.is_valid_text( text ) # True

Binary data that might decode as text but isn't valid fails validation:

.. code-block:: python

binary_as_text = "Config file\x00\x00\x00data"
detextive.is_valid_text( binary_as_text ) # False

**High-Level Decoding**:

For complete bytes-to-text processing with automatic charset detection and validation:

.. code-block:: python

import detextive

with open( 'document.txt', 'rb' ) as file:
content = file.read( )

text = detextive.decode( content, location = 'document.txt' )
print( f"Decoded text: {text}" )

Contribution 🤝
===============================================================================

Contribution to this project is welcome! However, it must follow the `code of
conduct
`_
for the project.

Please file bug reports and feature requests in the `issue tracker
`_ or submit `pull
requests `_ to
improve the source code or documentation.

For development guidance and standards, please see the `development guide
`_.

Additional Indicia
===============================================================================

.. image:: https://img.shields.io/github/last-commit/emcd/python-detextive
:alt: GitHub last commit
:target: https://github.com/emcd/python-detextive

.. image:: https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/copier-org/copier/master/img/badge/badge-grayscale-inverted-border-orange.json
:alt: Copier
:target: https://github.com/copier-org/copier

.. image:: https://img.shields.io/badge/%F0%9F%A5%9A-Hatch-4051b5.svg
:alt: Hatch
:target: https://github.com/pypa/hatch

.. image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit
:alt: pre-commit
:target: https://github.com/pre-commit/pre-commit

.. image:: https://microsoft.github.io/pyright/img/pyright_badge.svg
:alt: Pyright
:target: https://microsoft.github.io/pyright

.. image:: https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json
:alt: Ruff
:target: https://github.com/astral-sh/ruff

.. image:: https://img.shields.io/pypi/implementation/detextive
:alt: PyPI - Implementation
:target: https://pypi.org/project/detextive/

.. image:: https://img.shields.io/pypi/wheel/detextive
:alt: PyPI - Wheel
:target: https://pypi.org/project/detextive/

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===============================================================================

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