Metadata-Version: 2.1
Name: duplicate_recognition
Version: 0.0.7
Summary: This Project uses the calculation of similarities scores of a set of entities in an edge list. To allow for versatile usage, it uses dependency injection to implement it into any application.
Project-URL: Homepage, https://github.com/HeIIow2/Duplicate-Recognition
Project-URL: Issues, https://github.com/HeIIow2/Duplicate-Recognition/issues
Author-email: Hazel <Hazel.Noack@proton.me>
License: MIT License
        
        Copyright (c) 2024 _
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in all
        copies or substantial portions of the Software.
        
        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
        IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
        FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
        AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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        OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
        SOFTWARE.
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Requires-Dist: levenshtein~=0.24.0
Requires-Dist: pycountry<=24.0.1
Description-Content-Type: text/markdown

# Duplicate-Recognition
This Project uses the calculation of similarities scores of a set of entities in an edge list. To allow for versatile usage, it uses dependency injection to implement it into any application.

## Usage

You need to implement all the read/write methods, to keep the project versatile.

For an example on how to use it, see the [example](example.py), or the following code block:

```python
"""
This is an example implementation of the DuplicateRecognition class.
It won't work. It's just to show, how it could be used.
"""

import logging
import os
from collections import defaultdict
from typing import Dict, Set
from typing import Generator, Tuple, Any
from itertools import chain, islice

from mysql.connector import connect

from duplicate_recognition import DuplicateRecognition, Algorithm, Comparison

logging.basicConfig(level=logging.DEBUG)


def chunks(iterable, size=1000):
    # https://stackoverflow.com/a/24527424
    iterator = iter(iterable)
    for first in iterator:
        yield chain([first], islice(iterator, size - 1))


class Entity(DuplicateRecognition):
    ID_COLUMN: str = "id"
    F_SCORES: Dict[str, float] = defaultdict(lambda: 0, {
        "id": DuplicateRecognition.F_SCORE_FOR_EXACT_MATCH,
        "company": 1,
        "postal_code": 1,
        "country": 0.5,
    })
    MATCHING_ALGORITHM: Dict[str, Algorithm] = defaultdict(lambda: Algorithm.EQUALITY, {
        "id": Algorithm.EQUALITY,
        "company": Algorithm.PHONETIC_DISTANCE,
        "postal_code": Algorithm.EQUALITY,
        "country": Algorithm.COUNTRY,
    })
    THRESHOLDS: Dict[str, float] = defaultdict(lambda: 0, {
        "country": 1,
    })
    NEGATIVE_FIELDS: Set[str] = {"country"}

    def __init__(self):
        self.connection = connect(
            host=os.getenv("MYSQL_HOST"),
            port=os.getenv("MYSQL_PORT"),
            user=os.getenv("MYSQL_USER"),
            password=os.getenv("MYSQL_PASSWORD"),
            database="foo",
        )
        super().__init__()

    def get_relevant_entities(self) -> Generator[Dict[str, Any], None, None]:
        cursor = self.connection.cursor(dictionary=True)

        cursor.execute("""
            SELECT DISTINCT * FROM entity    
            ORDER BY entity.id ASC
            """)
        return cursor

    def get_refresh_pairs(self) -> Generator[Tuple[int, int], None, None]:
        cursor = self.connection.cursor(buffered=True)
        cursor.execute("""
            SELECT entity_edge_list.a, entity_edge_list.b
            FROM entity_edge_list
            
            INNER JOIN entity
                ON entity.id = entity_edge_list.a OR entity.id = entity_edge_list.b
            
            WHERE entity.change_date > entity_edge_list.change_date
            ORDER BY entity_edge_list.a, entity_edge_list.b ASC
            """)
        return cursor

    def get_compared(self) -> Generator[int, None, None]:
        cursor = self.connection.cursor(buffered=True)
        cursor.execute("SELECT DISTINCT a FROM entity_edge_list")
        for row in cursor:
            yield row[0]

    def get_uncompared(self) -> Generator[int, None, None]:
        cursor = self.connection.cursor(buffered=True)

        cursor.execute("""
            SELECT DISTINCT entity.id
            FROM entity
            LEFT JOIN entity_edge_list
                ON entity.id = entity_edge_list.a
        
            WHERE entity_edge_list.a IS NULL
            ORDER BY entity.id ASC
            """)
        for row in cursor:
            yield row[0]

    def write_comparisons(self, comparisons: Generator[Comparison, None, None]):
        cursor = self.connection.cursor()

        query = f"""
        INSERT INTO entity_edge_list (a, b, score, count, f_score_sum, change_date) VALUE (%s, %s, %s, %s, %s, NOW())
        ON DUPLICATE KEY UPDATE score=VALUES(score), count=VALUES(count), f_score_sum=VALUES(f_score_sum), change_date=NOW();
        """

        # execute in batches of 1000
        for chunk in chunks(comparisons, size=1000):
            cursor.executemany(query, [
                (c.entity[self.ID_COLUMN], c.other_entity[self.ID_COLUMN], c.score, c.count, c.f_score_sum)
                for c in chunk
            ])
        self.connection.commit()


if __name__ == "__main__":
    Entity().execute(limit=None)

```
