Skip to main content

Extracts relevant meta information for cataloging.

Project description

RaRa Meta Extractor

Py3.10 Py3.11 Py3.12

rara-meta-extractor is a Python library for extracting relevant meta information for cataloging.


✨ Features

  • Coming soon

⚡ Quick Start

Get started with rara-meta-extractor in just a few steps:

  1. Install the Package
    Ensure you're using Python 3.10 or above, then run:

    pip install rara-meta-extractor
    
  2. Import and Use
    Example usage to link entries with default configuration:

     from rara_meta_extractor.llama_meta_extractor import LlamaExtractor
     from pprint import pprint
    
     text = """
         Toimetanud Milvi Teesalu
         Kaane kujundanud Piret Tuur
         Autoriõigus: Marje Ernits ja OÜ Eesti Raamat, 2019
         ISBN 978-9949-683-96-3
         ISBN 978-9949-683-97-0 (epub)
     """
    
     fields = ["editor", "designer", "isbn", "copyright", "title"]
    
     llama_extractor = LlamaExtractor(
         llama_host_url="http://local-llama:8080",
         fields=fields
     )
    
     extracted_info = llama_extractor.extract(text)
     pprint(extracted_info)
    

    Out:

    {
         'copyright': ['Marje Ernits ja OÜ Eesti Raamat, 2019'],
         'designer': ['Piret Tuur'],
         'editor': ['Milvi Teesalu'],
         'isbn': ['978-9949-683-96-3', '978-9949-683-97-0']
     }
    
    

⚙️ Installation Guide

Follow the steps below to install the rara-meta-extractor package, either via pip or locally.


Installation via pip

Click to expand
  1. Set Up Your Python Environment
    Create or activate a Python environment using Python 3.10 or above.

  2. Install the Package
    Run the following command:

    pip install rara-meta-extractor
    

Local Installation

Follow these steps to install the rara-meta-extractor package locally:

Click to expand
  1. Clone the Repository
    Clone the repository and navigate into it:

    git clone <repository-url>
    cd <repository-directory>
    
  2. Set Up Python Environment
    Create or activate a Python environment using Python 3.10 or above. E.g:

    conda create -n py310 python==3.10
    conda activate py310
    
  3. Install Build Package
    Install the build package to enable local builds:

    pip install build
    
  4. Build the Package
    Run the following command inside the repository:

    python -m build
    
  5. Install the Package
    Install the built package locally:

    pip install .
    

🚀 Testing Guide

Follow these steps to test the rara-meta-extractor package.

How to Test

Click to expand
  1. Clone the Repository
    Clone the repository and navigate into it:

    git clone <repository-url>
    cd <repository-directory>
    
  2. Set Up Python Environment
    Create or activate a Python environment using Python 3.10 or above.

  3. Install Build Package
    Install the build package:

    pip install build
    
  4. Build the Package
    Build the package inside the repository:

    python -m build
    
  5. Install with Testing Dependencies
    Install the package along with its testing dependencies:

    pip install .[testing]
    
  6. Run Tests
    Run the test suite from the repository root:

    python -m pytest -v tests
    

📝 Documentation

Documentation can be found here.

🔍 Usage Examples

Coming soon

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

rara_meta_extractor-0.0.3.tar.gz (42.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

rara_meta_extractor-0.0.3-py3-none-any.whl (31.1 kB view details)

Uploaded Python 3

File details

Details for the file rara_meta_extractor-0.0.3.tar.gz.

File metadata

  • Download URL: rara_meta_extractor-0.0.3.tar.gz
  • Upload date:
  • Size: 42.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for rara_meta_extractor-0.0.3.tar.gz
Algorithm Hash digest
SHA256 ab6ef34e677d418cc6a4f718fbd6f5b619abb9713cad2320dbb2d2c0fc00ef80
MD5 e6ab2b667957780da788acb4dda22499
BLAKE2b-256 8952cddfa5e1582a85987dc575e5c1e3134e7552cacf433d25630ab090d21aaa

See more details on using hashes here.

File details

Details for the file rara_meta_extractor-0.0.3-py3-none-any.whl.

File metadata

File hashes

Hashes for rara_meta_extractor-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 8d5ce507c0947ea7c73b1a170ea066c8aa6bb81b334223326dd6ad3a3744225e
MD5 c2ff25f7894a5734757829c986dc129d
BLAKE2b-256 c8cbaf82e443dece0a1e564252dda43fdfeb7ede828ce48022350d88ee62dd37

See more details on using hashes here.

Supported by

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