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_extractor import LlamaExtractor
     from pprint import pprint
    
     text = """
        JUMALAL EI OLE AEGA
    
        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", "author",
       "copyright year", "title"
     ]
    
     llama_extractor = LlamaExtractor(
         llama_host_url="http://local-llama:8080",
         fields=fields,
         temperature=0.3
     )
    
     extracted_info = llama_extractor.extract(text)
     pprint(extracted_info)
    

    Out:

    {
      "editor": ["Milvi Teesalu"],
      "designer": ["Piret Tuur"],
      "isbn": ["978-9949-683-96-3", "978-9949-683-97-0"],
      "author": ["Marje Ernits ja OÜ Eesti Raamat"],
      "copyright year": ["2019"],
      "title": ["JUMALAL EI OLE AEGA"]
    }
    

⚙️ 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

Coming soon

🔍 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-1.0.1.tar.gz (54.1 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-1.0.1-py3-none-any.whl (47.0 kB view details)

Uploaded Python 3

File details

Details for the file rara_meta_extractor-1.0.1.tar.gz.

File metadata

  • Download URL: rara_meta_extractor-1.0.1.tar.gz
  • Upload date:
  • Size: 54.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for rara_meta_extractor-1.0.1.tar.gz
Algorithm Hash digest
SHA256 29ca057bd43589b560f99f7c994b5ad869413ce8c47fe5d566365eff1a75f94e
MD5 3b6bd42abee30278226717d06659d52c
BLAKE2b-256 1e204ab33c7ce93f469ccfe584164eda59771567e7235512c59dac769e99731d

See more details on using hashes here.

File details

Details for the file rara_meta_extractor-1.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for rara_meta_extractor-1.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 f6a155ad23ff0f2ba0ea5664700c4bfe595176b2cee92ed49b0b54a4ed8f814b
MD5 6256ba25b1890c4092eda9b748a55b16
BLAKE2b-256 d8afeb5e5cd05f23e5b2139e419c48322f2360590324b4bc6cc0ce64b6205016

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