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Calling save() on InventoryItem without changes produces unnecessary changelog entry #4998
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opened 2025-12-29 19:23:01 +01:00 by adam
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complexity: high
complexity: low
complexity: medium
needs milestone
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severity: low
severity: medium
status: accepted
status: backlog
status: blocked
status: duplicate
status: needs owner
status: needs triage
status: revisions needed
status: under review
topic: GraphQL
topic: Internationalization
topic: OpenAPI
topic: UI/UX
topic: cabling
topic: event rules
topic: htmx navigation
topic: industrialization
topic: migrations
topic: plugins
topic: scripts
topic: templating
topic: testing
type: bug
type: deprecation
type: documentation
type: feature
type: housekeeping
type: translation
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Reference: starred/netbox#4998
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Originally created by @bluecmd on GitHub (Jun 12, 2021).
NetBox version
v2.11.6
Python version
3.7
Steps to Reproduce
save()on an InventoryItem via Netbox Script:If I call
.snapshot()before the "Pre-Change Data" is populated, and the UI shows "No difference".Expected Behavior
.snapshot()is important for Netbox Scripts on the https://netbox.readthedocs.io/en/stable/additional-features/custom-scripts/ website, or make it automatic, would be appreciated.save()with no changes is silent/ignored.Observed Behavior
An moot changelog entry is created.
@bluecmd commented on GitHub (Jun 12, 2021):
For now I have worked around this in my scripts by doing this:
If this is the intended way going forward I am OK with updating my scripts accordingly but ask that e.g. the example Custom Script is updated with this information on how to best do changes.
@jeremystretch commented on GitHub (Jun 14, 2021):
This intended behavior. Even when no data is being modified, there may still be a desire to record that a save event took place.
@bluecmd commented on GitHub (Jun 14, 2021):
Ok thanks for confirming.
I would suggest adding a section to https://netbox.readthedocs.io/en/stable/additional-features/custom-scripts/ describing the semantics around save() and snapshot(). It was quite hard going down the rabbit hole of Django data models and how things are supposed to work together, so that might be useful for people.