reconciii 0.1.0

A csv reconciliation tool and report generator

Reconcilation CLI tools

1. Introduction

This document describes how to use the reconcile command-line tool to compare two CSV files and generate a report highlighting missing records and discrepancies between them. The tool can be helpful for data validation, identifying discrepancies in data pipelines, and ensuring data consistency across multiple sources.

2. Prerequisites

• Python 3.6+
• click package installed (pip install click)
• Pandas library installed (pip install pandas)
• Levenshtein library installed (pip install Levenshtein)

2.1 Installing

    pip3 install reconcii

3. Running the Tool

3.1 Required arguments:

• -s or --source: Path to the source CSV file.
• -t or --target: Path to the target CSV file.
• -o or --output: Path to the output CSV file containing the reconciliation report (default: "reconciliation_report.csv").

3.2 Optional arguments:

• -c or --comparison-columns: List of additional columns to compare for discrepancies (default: all columns except "ID").

3.2 Example usage:

 reconcile -s data/source.csv -t data/target.csv -o report.csv -c column1,column2

This command will compare the source file data/source.csv with the target file data/target.csv, generate a reconciliation report named report.csv, and compare discrepancies in columns column1 and column2 in addition to the default "ID" column.

4. Output Report

The generated report will be a CSV file with the following columns:

• Type: Indicates the type of discrepancy (missing in source, missing in target, field discrepancy).
• Record Identifier: ID of the record where the discrepancy was found.
• Field: (optional) Specific field where the discrepancy was found (applicable for field discrepancies).
• Source Value: Value of the field in the source file.
• Target Value: Value of the field in the target file.