eldar 0.0.5

Boolean text search in Python

Boolean text search using Eldar

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

• unidecode

Installing

You can install the method by typing:

pip install unidecode -U
pip install eldar

Basic usage

from eldar import build_query


# build list
documents = [
    "Gandalf is a fictional character in Tolkien's The Lord of the Rings",
    "Frodo is the main character in The Lord of the Rings",
    "Ian McKellen interpreted Gandalf in Peter Jackson's movies",
    "Elijah Wood was cast as Frodo Baggins in Jackson's adaptation",
    "The Lord of the Rings is an epic fantasy novel by J. R. R. Tolkien"]

eldar = build_query('("gandalf" OR "frodo") AND NOT ("movie" OR "adaptation")')

# use `filter` to get a list of matches:
print(eldar.filter(documents))
# >>> ["Gandalf is a fictional character in Tolkien's The Lord of the Rings",
#     'Frodo is the main character in The Lord of the Rings']

# call to see if the text matches the query:
print(eldar(documents[0]))
# >>> True
print(eldar(documents[2]))
# >>> False

You can also use it to mask Pandas DataFrames:

from eldar import build_query
import pandas as pd


# build dataframe
df = pd.DataFrame([
    "Gandalf is a fictional character in Tolkien's The Lord of the Rings",
    "Frodo is the main character in The Lord of the Rings",
    "Ian McKellen interpreted Gandalf in Peter Jackson's movies",
    "Elijah Wood was cast as Frodo Baggins in Jackson's adaptation",
    "The Lord of the Rings is an epic fantasy novel by J. R. R. Tolkien"],
    columns=['content'])

# build query object
eldar = build_query('("gandalf" OR "frodo") AND NOT ("movie" OR "adaptation")')

# eldar's call returns True if the text matches the query.
# You can filter a dataframe using pandas mask syntax:
df = df[df.content.apply(eldar)]
print(df)

Parameters

There are three parameters that you can adjust in the query builder. By default:

Query(..., ignore_case=True, ignore_accent=True, match_word=True)

Let the query be query = '"movie"':

• If ignore_case is True, the documents "Movie" and "movie" will be matched. If False, only "movie" will be matched.
• If ignore_accent is True, the documents "mövie" will be matched.
• If match_word is True, the document will be tokenized and the query terms will have to match exactly. If set to False, the documents "movies" and "movie" will be matched. Setting this option to True may slow down the query.

Authors

Maixent Chenebaux