Document Generation Script from Template and CSV Data

This Python script utilizes the docxtpl module to generate customized Word documents (.docx) from a predefined template and data provided in a CSV file. In the provided example, the script is set up to generate letters to different hiring managers by combining user-specific information with fictitious data from a CSV file.

Table of Contents

1. Prerequisites
2. Usage
3. Customization
4. Example Execution
5. Notes

Prerequisites

Before running the script, make sure to install the following packages:

pip install pandas docxtpl

Usage

1. Run the Script:

   • Execute the document_generator.py script.

2. Inputs and Options:

   • The script currently uses a predefined template (template-manager-info.docx) and a CSV file (fake_data.csv). You can customize these files or provide new ones.
   • Modify the user-specific information (my_name, my_phone, my_email, my_address) in the script or provide these details via user inputs.
   • Consider adding more options or interactivity for flexibility.

3. Generated Documents:

   • The script generates individualized documents for each row of data in the CSV file.
   • Output files are named in the format generated_doc_{index}.docx.

4. Extend Functionality:

   • Feel free to adapt the script for different templates, data sources, or document structures.
   • Enhance the script by adding command-line arguments or a user interface for more dynamic interactions.

Customization

• Template Modification:

  • Adjust the template-manager-info.docx file to change the layout, formatting, or content of the generated documents.

• CSV Data:

  • Provide a CSV file with relevant data columns matching the placeholders in the template.

• User Inputs:

  • Enhance the script to accept user inputs for personalized information.

Example Execution

python document_generator.py

Notes

• Ensure that your environment has the required permissions to read and write files in the specified locations.
• For security reasons, consider storing sensitive information such as email passwords in a secure manner, like environment variables.