Forum Discussion
Python Notebook does not respect pipeline input parameter
- 1 year ago
1. Check Notebook Parameter Cell Format
Your notebook must have a parameter cell defined like this at the top:# Parameters
sheet_name = "Sheet1" # default value
Fabric uses this cell to inject pipeline parameters. If this is missing or misnamed, the pipeline cannot override it.Make sure:
The variable name (sheet_name) matches exactly with the name used in the pipeline.
The cell is tagged with "parameters" (Fabric auto-detects this if you're using the right format).
2. Ensure the Pipeline Is Passing the Parameter
In your pipeline:Go to the notebook activity block.
Click on the "Settings" pane.
Confirm:
Input parameter name is sheet_name (case-sensitive match).
Value is set to Sheet2.
Optional sanity check: Add a debug cell to your notebook to log it:
print(f"Using sheet name: {sheet_name}")3. Double-Check Parameter Mapping in JSON Behind the Scenes (Optional)
If you're comfortable editing JSON:Open the pipeline JSON (if accessible via export or dev mode).
Look for something like:
"notebookActivity": {
"parameters": {
"sheet_name": "Sheet2"
}
}4. Avoid Hardcoded Values in Notebook
Sometimes developers accidentally override the parameter later in the notebook:sheet_name = "Sheet1" # This will override pipeline input
Make sure this line appears only in the parameter cell and not anywhere else.
For that, You should use Dataflow Gen 2 rather than Fabric Data Factory.
Here is a quick view
Easy to implement and all is available: