abn-amro-assessment-2024 0.0.1

ABN Amro technical assignment package

Project Title

Overview

This project provides a framework for reading, transforming, and writing CSV datasets using PySpark. It reads data from multiple CSV files, applies a selected transformation, and writes the resulting data to a target location.

The user specifies the input datasets, the transformation to apply, and the output file path via command-line arguments. The project uses a flexible and modular design, allowing for multiple transformations.

Features

• Read CSV files into PySpark DataFrames.
• Perform a series of predefined transformations on the data.
• Write the transformed data to a specified output CSV file.
• Easily configurable via command-line arguments.
• Modular and extendable for additional transformations.

Requirements

• Python 3.x
• PySpark
• Pydantic (for model validation)
• argparse (for argument parsing)

Project Structure

|-- README.md
|-- assignment_files
|   |-- dataset_one.csv
|   |-- dataset_three.csv
|   |-- dataset_two.csv
|   `-- exercise.md
|-- framework
|   |-- __init__.py
|   |-- __pycache__
|   |   `-- __init__.cpython-310.pyc
|   |-- base
|   |   |-- __init__.py
|   |   |-- __pycache__
|   |   |   |-- __init__.cpython-310.pyc
|   |   |   `-- base.cpython-310.pyc
|   |   `-- base.py
|   |-- reader
|   |   |-- __init__.py
|   |   |-- __pycache__
|   |   |   |-- __init__.cpython-310.pyc
|   |   |   `-- csv_reader.cpython-310.pyc
|   |   `-- csv_reader.py
|   |-- transform
|   |   |-- __init__.py
|   |   |-- __pycache__
|   |   |   |-- __init__.cpython-310.pyc
|   |   |   |-- transform1.cpython-310.pyc
|   |   |   |-- transform2.cpython-310.pyc
|   |   |   |-- transform3.cpython-310.pyc
|   |   |   |-- transform4.cpython-310.pyc
|   |   |   |-- transform5.cpython-310.pyc
|   |   |   |-- transform6.cpython-310.pyc
|   |   |   |-- transform7.cpython-310.pyc
|   |   |   `-- transform8.cpython-310.pyc
|   |   |-- transform1.py
|   |   |-- transform2.py
|   |   |-- transform3.py
|   |   |-- transform4.py
|   |   |-- transform5.py
|   |   |-- transform6.py
|   |   |-- transform7.py
|   |   `-- transform8.py
|   `-- writer
|       |-- __init__.py
|       |-- __pycache__
|       |   |-- __init__.cpython-310.pyc
|       |   `-- csv_writer.cpython-310.pyc
|       `-- csv_writer.py
|-- main.py

Installation

Run the following command to install the package

pip install abn-amro-assessment-2024

Usage

python3 main.py --dataset_one_path <file1 full_path>
--dataset_two_path <file2 full_path>
--dataset_three_path <file3 full_path>
--transform_name <name of transformation>
--target_path <target full_path>

For example:
python3 main.py --dataset_one_path /assignment_files/dataset_one.csv
--dataset_two_path /assignment_files/dataset_two.csv
--dataset_three_path /assignment_files/dataset_three.csv
--transform_name Transform1
--target_path output/it_data

What is Implemented?

Output #1 - IT Data

Output #2 - Marketing Address Information

Output #3 - Department Breakdown

Output #4 - Top 3 best performers per department

Output #5 - Top 3 most sold products per department in the Netherlands

Output #6 - Who is the best overall salesperson per country

Additional Scenarios: Extra Bonus

Extra Bonus: Output #7 - Which age group of recipient has the highest number of quantity ordered per department

• The output directory should be called most_order_age_group and you must use PySpark to save only to one CSV file.

Extra Bonus: Output #8 - Top 3 companies those have placed the most order quantity per department

• The output directory should be called top_3_most_order_company_by_dept and you must use PySpark to save only to one CSV file.

Testing

You can test the transformations by running the script with various datasets and checking the output for correctness. Make sure that you have valid CSV files for testing.

Contact

For any questions, feel free to contact me at [e-mail].