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 usingcharset-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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