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Detect encoding from CSV files and return the accepted case format for analytical tools (currently supports DuckDB)

Project description

codec_bridge

A Python utility library that bridges encoding mismatches between Python and DuckDB when reading raw CSV files.

🔍 Motivation

DuckDB recently introduced the encodings extension, supporting over a thousand character encodings. However, Python often detects encodings using a format or casing that DuckDB does not accept directly.

For example:

  • Python detects: ISO-8859-1
  • DuckDB expects: latin

This mismatch can break ingestion pipelines, especially when dealing with large volumes of raw CSV files from diverse sources. The goal of this library is to act as a bridge, translating Python-standard encoding names into DuckDB-compatible formats.

⚙️ Features

  • get_duckdb_encoding: Main method that maps Python encoding names to DuckDB-compatible formats.
  • 🔍 detect_encoding: Detects the encoding of a file using charset-normalizer.
  • 📌 detect_delimiter: Identifies the most likely delimiter used in a CSV file.
  • ✍️ write_utf8_csv: Rewrites a file to UTF-8 encoding when necessary.
  • 📦 process_files: Scans a directory of CSV files and returns metadata for each file.

📦 Installation

pip install codec_bridge

🔧 Requirements

This library depends on:

  • duckdb (>=1.3.2)
  • charset-normalizer (>=3.4.2)

These will be installed automatically when using pip install codec_bridge.

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