from matchescu.data_sources import CsvDataSource

matchescu-reference-extraction

This package implements an entity reference extraction subsystem for entity resolution. The main concepts that are relevant here are:

  • a generic attribute-based data record implementation (can access data by str or int key),
  • various data_sources which support reading records from different data stores, and
  • generic extraction_engines that convert data records to entity references.

Development

Run the following commands to ensure you have a proper environment.

$ pyenv install 3.12
$ poetry install
$ poetry run pytest

When you contribute code, open a new feature/* or hotfix/* branch.

Usage

from matchescu.data_sources import CsvDataSource
from matchescu.extraction import Traits

traits = list(
    Traits().int(["id"])
    .string(["name", "description", "manufacturer"])
    .currency(["price"])
)
csv = CsvDataSource("./path/to/csv/file", list(traits))

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (0.9.11)

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for koosie0507 from gravatar.com koosie0507

Credits

Author: Andrei Olar

License

MIT License (MIT)

Requires

Python !=2.7.*, !=3.0.*, !=3.1.*, !=3.10.*, !=3.11.*, !=3.12.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*, !=3.7.*, !=3.8.*, !=3.9.*, >=3.13

Classifiers

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