Skip to main content

Utility for converting CSV to Parquet files

Project description

cdef-utils

cdef-utils is a Python package designed to convert CSV and Parquet files to a standardized Parquet format, specifically tailored for processing register data. It provides utilities for batch processing files, generating summaries, and handling various encoding issues.

Features

  • Convert CSV and Parquet files to a standardized Parquet format
  • Automatic encoding detection for CSV files
  • Batch processing of multiple files
  • Generation of summary reports
  • Progress tracking and resumable processing
  • Rich console output with logging

Installation

To install cdef-utils, you can use pip:

pip install cdef-utils

Usage

You can use cdef-utils as a command-line tool:

python -m cdef_utils /path/to/input/directory --summary_file output_summary.json

Arguments

  • input_directory: Path to the directory containing CSV and Parquet files to process
  • --summary_file: (Optional) Path to save the summary JSON file (default: "register_summary.json")

Output

The script will:

  1. Convert all CSV and Parquet files in the input directory to Parquet format
  2. Save the converted files in a structured directory format under /path/to/your/fixed/output/directory/registers
  3. Generate a summary JSON file with details about each processed register
  4. Display a summary table in the console
  5. Log processing details and any errors

Requirements

  • Python 3.7+
  • polars
  • rich

Configuration

  • The OUTPUT_DIRECTORY is set to /path/to/your/fixed/output/directory in the script. Modify this path as needed.
  • Logging is configured to save logs in a logs directory in the current working directory.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cdef_utils-1.1.0.tar.gz (33.4 kB view details)

Uploaded Source

Built Distribution

cdef_utils-1.1.0-py3-none-any.whl (6.0 kB view details)

Uploaded Python 3

File details

Details for the file cdef_utils-1.1.0.tar.gz.

File metadata

  • Download URL: cdef_utils-1.1.0.tar.gz
  • Upload date:
  • Size: 33.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for cdef_utils-1.1.0.tar.gz
Algorithm Hash digest
SHA256 343abc1c24d92fff803d791722c1677ce9386a0867a1f429533ef8defe34d126
MD5 62bd6ea3a7e2bc8a81e77e08bad0c824
BLAKE2b-256 9c8cd73696980cdc1e5057069c87f0ac55be537edbeeb8e89877e22a26a3b54f

See more details on using hashes here.

File details

Details for the file cdef_utils-1.1.0-py3-none-any.whl.

File metadata

  • Download URL: cdef_utils-1.1.0-py3-none-any.whl
  • Upload date:
  • Size: 6.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for cdef_utils-1.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 aa1bf0ca6491dda4eed23783895482e3d751e079a48798748bbb500a2ce29abb
MD5 2c34d19224677014f8412ecab1b8e7fc
BLAKE2b-256 1a8216c4d9af98918d3c2270b65ad50cad36b4336e58f4b204494ba43abfd3f3

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page