How to Generate a JSON Report Filename from an Uploaded File in Python

This Python code creates a new filename for a report using the name of an uploaded file. It automatically removes the original file extension and adds _report.json to the filename.
1. The Code
output_filename = (
f"{uploaded_file.name.rsplit('.', 1)[0]}_report.json"
)
2. Understanding Each Part
a. uploaded_file.name
The name property provides access to the original name of the uploaded file.
b. .rsplit('.', 1)
Separates the filename from its extension.
rsplit()– splits a string from right to left. Python starts looking from the right-hand side of the string and finds the first period it encounters.'.'– tells Python to use the period as the separator.1– tells Python to perform only one split.
For example, Python looks at the filename data.pdf and splits it at the last period.
The period separates two things:
data– the filenamepdf– the file extension
If you run this code:
"data.pdf".rsplit('.', 1)
The result is:
['data', 'pdf']
c. [0]
Selects the first element of the resulting list, which contains the filename without its extension.
Output:
data
d. f"..._report.json"
An f-string allows us to insert the extracted filename into a new string.
The _report.json suffix is added to create the final report filename.
e. output_filename
Stores the generated filename in the output_filename variable so it can be used later in the program.
Example in Action
Suppose a user uploads a file named:
data.pdf
The code processes the filename as follows:
- Original filename:
data.pdf - Remove extension:
data - Add suffix:
_report.json - Final filename:
data_report.json
This approach is useful because it:
- Automates naming: No need to manually create report filenames.
- Preserves context: The report keeps the original uploaded file's name.
- Removes the original extension: Prevents filenames such as monthly_sales.csv_report.json.
The main purpose of this code is to dynamically generate a JSON report filename based on the original uploaded file.
- Uploaded file:
data.pdf - Generated file:
data_report.json
About the author
- PDF Python Hub is dedicated to teaching PDF programming, automation, and engineering with Python through practical, project-based courses. Whether you're a complete beginner or an experienced Python developer, the goal is to help you build the skills needed to work with PDF documents confidently—from reading and extracting data to building enterprise document processing and AI-powered workflows. What You'll Learn The curriculum covers every stage of PDF processing, including: -PDF fundamentals -Document extraction -PDF manipulation -Forms, tables, and images -OCR and scanned documents -Security and redaction -Enterprise automation -AI-powered document processing How You'll Learn Every course is designed to be: -Beginner-friendly with clear, step-by-step explanations -Focused on practical, real-world applications -Built around hands-on projects and assessments -Structured as a complete learning path from beginner to expert Our Mission Our mission is simple: To make PDF processing with Python accessible, practical, and enjoyable by teaching real skills that can be applied to everyday automation tasks and professional software development. Whether you're learning for your career, your business, or your own projects, you'll gain the knowledge and confidence to build powerful PDF automation solutions with Python. Learn more: https://payhip.com/PDFPythonHub/blog/news
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