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UN-151 [FIX] Block workflow deletion at backend when in use by pipelines/APIs#1969

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UN-151 [FIX] Block workflow deletion at backend when in use by pipelines/APIs#1969
pk-zipstack wants to merge 1 commit into
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fix/un-151-backend-workflow-deletion-guard

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@pk-zipstack pk-zipstack commented May 15, 2026

What

  • Adds a perform_destroy override on WorkflowViewSet that calls WorkflowHelper.can_update_workflow before deletion and raises a new WorkflowDeletionError (HTTP 400) with the same detailed message the UI shows when a workflow is in use.
  • Adds WorkflowHelper.build_workflow_in_use_message so the rejection detail lists the dependent pipelines and API deployments, matching the frontend format.

Why

  • The frontend (Workflows.jsx) already gates the delete button via the can_update endpoint and shows a descriptive error when a workflow is referenced by pipelines/API deployments (PR UN-3217 [FEAT] Show specific pipeline/API names in workflow deletion error message #1784).
  • However, the backend WorkflowViewSet.destroy had no equivalent guard. Because Pipeline.workflow and APIDeployment.workflow are declared with on_delete=models.CASCADE, a direct DELETE /workflow/<id>/ API call (or a UI bypass / race) would silently cascade-delete every dependent pipeline and API deployment. That was the original concern in UN-151.

How

  • New exception WorkflowDeletionError (status 400) in workflow_manager/workflow_v2/exceptions.py.
  • New static helper build_workflow_in_use_message(workflow_name, usage) in workflow_helper.py mirrors the frontend formatting (truncates after 3 names per category, appends ...and N more summary).
  • WorkflowViewSet.perform_destroy invokes can_update_workflow; on can_update=false it raises WorkflowDeletionError(detail=...). Otherwise it falls through to the default ModelViewSet destroy.

Can this PR break any existing features. If yes, please list possible items. If no, please explain why. (PS: Admins do not merge the PR without this section filled)

  • No. The UI flow already blocks deletion via can_update before issuing DELETE, so end users won't notice a change. The new guard only fires for direct API callers and any TOCTOU race between the UI check and the actual delete — both cases where the previous behavior was unsafe (silent cascade delete). Workflows with no pipeline/API references continue to delete as before.

Database Migrations

  • None.

Env Config

  • None.

Relevant Docs

  • None required.

Related Issues or PRs

Dependencies Versions

  • None.

Notes on Testing

  • Try DELETE /workflow/<id>/ for a workflow that is not referenced by any pipeline/API → should succeed (200).
  • Try DELETE /workflow/<id>/ for a workflow referenced by 1+ Pipelines and/or APIDeployments via curl or Postman → should return 400 with a body like:
    Cannot delete `<wf>` as it is used in:
    - `<api>` (API Deployment)
    - `<pipe>` (ETL Pipeline)
    
  • Verify dependent Pipeline / APIDeployment rows are intact after the rejection.
  • Confirm UI delete flow (which calls can_update first) continues to work unchanged.

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Checklist

I have read and understood the Contribution Guidelines.

🤖 Generated with Claude Code

…nes/APIs

Adds a perform_destroy guard on WorkflowViewSet that calls
can_update_workflow and raises WorkflowDeletionError (400) with the same
detailed message used by the frontend. Prevents direct API callers from
silently cascade-deleting Pipelines/APIDeployments that reference the
workflow.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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coderabbitai Bot commented May 15, 2026

Summary by CodeRabbit

  • Improvements
    • Workflows in active use are now protected from deletion to prevent unintended data loss
    • Deletion attempts display details about the pipelines and APIs currently using the workflow

Walkthrough

This PR prevents deletion of workflows that are currently in use. It adds a new REST exception class, implements a deletion guard in the ViewSet, and builds user-facing error messages that detail which pipelines and APIs depend on the workflow.

Changes

Workflow Deletion Guard

Layer / File(s) Summary
Exception contract
backend/workflow_manager/workflow_v2/exceptions.py
WorkflowDeletionError is a new 400-level APIException with a standard message indicating the workflow is in use.
Usage message builder
backend/workflow_manager/workflow_v2/workflow_helper.py
WorkflowHelper defines USAGE_MESSAGE_DISPLAY_LIMIT = 3 and a build_workflow_in_use_message static method that formats pipeline and API usage lists with truncation and "more" summaries for error display.
Delete operation guard
backend/workflow_manager/workflow_v2/views.py
WorkflowViewSet.perform_destroy checks can_update_workflow and raises WorkflowDeletionError with a constructed message from the helper; otherwise delegates to superclass deletion.

🎯 2 (Simple) | ⏱️ ~8 minutes

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 66.67% which is insufficient. The required threshold is 80.00%. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly and specifically describes the main change: blocking workflow deletion at the backend when workflows are in use by pipelines/APIs.
Description check ✅ Passed The description is comprehensive and includes all key sections: What, Why, How, breaking changes assessment, testing notes, and related issues. It explains the rationale, implementation approach, and provides clear testing guidance.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.

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  • Commit unit tests in branch fix/un-151-backend-workflow-deletion-guard

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Test Results

Summary
  • Runner Tests: 11 passed, 0 failed (11 total)
  • SDK1 Tests: 325 passed, 0 failed (325 total)

Runner Tests - Full Report
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SDK1 Tests - Full Report
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$$\textcolor{#23d18b}{\tt{TOTAL}}$$ $$\textcolor{#23d18b}{\tt{325}}$$ $$\textcolor{#23d18b}{\tt{325}}$$

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greptile-apps Bot commented May 15, 2026

Greptile Summary

This PR adds a backend guard to WorkflowViewSet.perform_destroy that blocks deletion of workflows referenced by active Pipelines or API Deployments, preventing a silent CASCADE that could wipe dependent rows when the API is called directly. A new WorkflowDeletionError (HTTP 400) and build_workflow_in_use_message helper are introduced to return a structured, human-readable error matching the frontend's existing UI message.

  • perform_destroy guard — calls can_update_workflow before deletion and raises WorkflowDeletionError with a detailed message listing the blocking pipelines/API deployments.
  • build_workflow_in_use_message — formats up to 3 names per category with an ...and N more overflow suffix, mirroring the frontend display.
  • WorkflowDeletionError — new exception class (HTTP 400) added to exceptions.py following existing patterns.

Confidence Score: 4/5

Safe to merge; the guard correctly prevents cascade deletion and the new code path is well-isolated.

The core fix is sound and closes a real data-loss vector. The minor concerns are a redundant DB round-trip in perform_destroy (the workflow object is already loaded but fetched again inside can_update_workflow), raw enum keys like DEFAULT and APP producing slightly confusing pipeline-type labels in the error message, and a zero-count fallback branch in build_workflow_in_use_message that is unreachable from the current call site.

workflow_helper.py — the build_workflow_in_use_message helper has the unreachable branch and the raw enum-label issue; views.py has the redundant fetch.

Important Files Changed

Filename Overview
backend/workflow_manager/workflow_v2/exceptions.py Adds WorkflowDeletionError (HTTP 400) — straightforward exception class matching existing patterns.
backend/workflow_manager/workflow_v2/views.py Adds perform_destroy guard that calls can_update_workflow before deletion; has a redundant DB round-trip since the workflow is already loaded as instance.
backend/workflow_manager/workflow_v2/workflow_helper.py Adds build_workflow_in_use_message; the zero-count fallback branch is unreachable from normal use, and pipeline_type raw enum keys (DEFAULT, APP) produce confusing labels in the error message.

Sequence Diagram

sequenceDiagram
    participant Client
    participant WorkflowViewSet
    participant WorkflowHelper
    participant DB

    Client->>WorkflowViewSet: "DELETE /workflow/<id>/"
    WorkflowViewSet->>WorkflowViewSet: get_object() → instance
    WorkflowViewSet->>WorkflowViewSet: perform_destroy(instance)
    WorkflowViewSet->>WorkflowHelper: can_update_workflow(str(instance.id))
    WorkflowHelper->>DB: "Workflow.objects.get(pk=id) [redundant]"
    WorkflowHelper->>DB: "Pipeline.objects.filter(workflow=...).count()"
    WorkflowHelper->>DB: "APIDeployment.objects.filter(workflow=...).count()"
    alt "in use (count > 0)"
        WorkflowHelper-->>WorkflowViewSet: "{can_update: False, pipelines:[...], api_names:[...]}"
        WorkflowViewSet->>WorkflowHelper: build_workflow_in_use_message(name, usage)
        WorkflowHelper-->>WorkflowViewSet: detailed error string
        WorkflowViewSet-->>Client: 400 WorkflowDeletionError
    else "not in use (count == 0)"
        WorkflowHelper-->>WorkflowViewSet: "{can_update: True}"
        WorkflowViewSet->>DB: super().perform_destroy(instance)
        WorkflowViewSet-->>Client: 204 No Content
    end
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Fix All in Claude Code

Prompt To Fix All With AI
Fix the following 3 code review issues. Work through them one at a time, proposing concise fixes.

---

### Issue 1 of 3
backend/workflow_manager/workflow_v2/workflow_helper.py:1025-1027
**Raw enum key used as pipeline type label**

`pipeline_type` is stored as the `PipelineType` TextChoices key (`"ETL"`, `"TASK"`, `"DEFAULT"`, `"APP"`), so the message would read `DEFAULT Pipeline` or `APP Pipeline` for those types — labels that may be unclear to API callers. The `.values()` queryset in `can_update_workflow` returns the raw DB value rather than the human-readable label (`"Default"`, `"App"`). Consider mapping the raw key to the display label (e.g. via `PipelineType(p_type).label` where `PipelineType` is imported from `pipeline_v2.models`) before constructing the line.

### Issue 2 of 3
backend/workflow_manager/workflow_v2/views.py:148
**Redundant DB fetch inside `perform_destroy`**

`can_update_workflow` opens with `Workflow.objects.get(pk=workflow_id)` to reload the object, but `instance` passed into `perform_destroy` is already the fully-loaded `Workflow` row (fetched by `get_object()` earlier in the DRF lifecycle). This adds an extra round-trip. If `can_update_workflow` is also called from the existing `can_update` endpoint with only an ID string, consider adding an overload or internal helper that accepts either a `Workflow` instance or an ID so `perform_destroy` can skip the redundant lookup.

### Issue 3 of 3
backend/workflow_manager/workflow_v2/workflow_helper.py:1008-1009
**Unreachable fallback branch**

`build_workflow_in_use_message` is only called from `perform_destroy` after `can_update_workflow` has already returned `can_update=False`, which only occurs when `pipeline_count + api_count > 0`. The zero-count branch (line 1008–1009) therefore cannot be reached via the current call site and silently returns a generic message if it ever were, which could mask the real cause. Consider either removing this branch (trusting the caller contract) or converting it to an `AssertionError`/log to make the invariant explicit.

Reviews (1): Last reviewed commit: "UN-151 [FIX] Block workflow deletion at ..." | Re-trigger Greptile

Comment on lines +1025 to +1027
name = p.get("pipeline_name")
p_type = p.get("pipeline_type")
lines.append(f"- `{name}` ({p_type} Pipeline)")
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P2 Raw enum key used as pipeline type label

pipeline_type is stored as the PipelineType TextChoices key ("ETL", "TASK", "DEFAULT", "APP"), so the message would read DEFAULT Pipeline or APP Pipeline for those types — labels that may be unclear to API callers. The .values() queryset in can_update_workflow returns the raw DB value rather than the human-readable label ("Default", "App"). Consider mapping the raw key to the display label (e.g. via PipelineType(p_type).label where PipelineType is imported from pipeline_v2.models) before constructing the line.

Prompt To Fix With AI
This is a comment left during a code review.
Path: backend/workflow_manager/workflow_v2/workflow_helper.py
Line: 1025-1027

Comment:
**Raw enum key used as pipeline type label**

`pipeline_type` is stored as the `PipelineType` TextChoices key (`"ETL"`, `"TASK"`, `"DEFAULT"`, `"APP"`), so the message would read `DEFAULT Pipeline` or `APP Pipeline` for those types — labels that may be unclear to API callers. The `.values()` queryset in `can_update_workflow` returns the raw DB value rather than the human-readable label (`"Default"`, `"App"`). Consider mapping the raw key to the display label (e.g. via `PipelineType(p_type).label` where `PipelineType` is imported from `pipeline_v2.models`) before constructing the line.

How can I resolve this? If you propose a fix, please make it concise.

Fix in Claude Code

Pipeline/APIDeployment would silently drop their rows along with
the workflow.
"""
usage = WorkflowHelper.can_update_workflow(str(instance.id))
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P2 Redundant DB fetch inside perform_destroy

can_update_workflow opens with Workflow.objects.get(pk=workflow_id) to reload the object, but instance passed into perform_destroy is already the fully-loaded Workflow row (fetched by get_object() earlier in the DRF lifecycle). This adds an extra round-trip. If can_update_workflow is also called from the existing can_update endpoint with only an ID string, consider adding an overload or internal helper that accepts either a Workflow instance or an ID so perform_destroy can skip the redundant lookup.

Prompt To Fix With AI
This is a comment left during a code review.
Path: backend/workflow_manager/workflow_v2/views.py
Line: 148

Comment:
**Redundant DB fetch inside `perform_destroy`**

`can_update_workflow` opens with `Workflow.objects.get(pk=workflow_id)` to reload the object, but `instance` passed into `perform_destroy` is already the fully-loaded `Workflow` row (fetched by `get_object()` earlier in the DRF lifecycle). This adds an extra round-trip. If `can_update_workflow` is also called from the existing `can_update` endpoint with only an ID string, consider adding an overload or internal helper that accepts either a `Workflow` instance or an ID so `perform_destroy` can skip the redundant lookup.

How can I resolve this? If you propose a fix, please make it concise.

Fix in Claude Code

Comment on lines +1008 to +1009
if (pipeline_count + api_count) == 0:
return f"Cannot delete `{workflow_name}` as it is currently in use."
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P2 Unreachable fallback branch

build_workflow_in_use_message is only called from perform_destroy after can_update_workflow has already returned can_update=False, which only occurs when pipeline_count + api_count > 0. The zero-count branch (line 1008–1009) therefore cannot be reached via the current call site and silently returns a generic message if it ever were, which could mask the real cause. Consider either removing this branch (trusting the caller contract) or converting it to an AssertionError/log to make the invariant explicit.

Prompt To Fix With AI
This is a comment left during a code review.
Path: backend/workflow_manager/workflow_v2/workflow_helper.py
Line: 1008-1009

Comment:
**Unreachable fallback branch**

`build_workflow_in_use_message` is only called from `perform_destroy` after `can_update_workflow` has already returned `can_update=False`, which only occurs when `pipeline_count + api_count > 0`. The zero-count branch (line 1008–1009) therefore cannot be reached via the current call site and silently returns a generic message if it ever were, which could mask the real cause. Consider either removing this branch (trusting the caller contract) or converting it to an `AssertionError`/log to make the invariant explicit.

How can I resolve this? If you propose a fix, please make it concise.

Fix in Claude Code

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🧹 Nitpick comments (1)
backend/workflow_manager/workflow_v2/workflow_helper.py (1)

996-1033: ⚡ Quick win

Add defensive handling for None or empty pipeline fields.

If pipeline_name or pipeline_type is None or an empty string, the formatted message will display None or empty backticks, which degrades the user experience.

🛡️ Proposed fix to handle None/empty values gracefully
         if pipelines:
             shown = list(pipelines)[:limit]
             for p in shown:
-                name = p.get("pipeline_name")
-                p_type = p.get("pipeline_type")
+                name = p.get("pipeline_name") or "Unknown"
+                p_type = p.get("pipeline_type") or "Unknown"
                 lines.append(f"- `{name}` ({p_type} Pipeline)")
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

In `@backend/workflow_manager/workflow_v2/workflow_helper.py` around lines 996 -
1033, The build_workflow_in_use_message function currently inserts raw
pipeline_name/pipeline_type (and api_names entries) into the user message, which
can render "None" or empty backticks; update build_workflow_in_use_message to
defensively coerce missing or empty values to a friendly placeholder (e.g.
"<unknown>" or "unnamed") before formatting: for pipelines iterate over p in
shown and compute name = (p.get("pipeline_name") or "<unknown>").strip() and
p_type = (p.get("pipeline_type") or "Pipeline").strip() (or similar), and for
api_names map any None/empty to a placeholder before adding backticked entries;
keep usage of WorkflowHelper.USAGE_MESSAGE_DISPLAY_LIMIT and the existing usage
dict keys (pipelines, api_names, pipeline_count, api_count) unchanged.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.

Nitpick comments:
In `@backend/workflow_manager/workflow_v2/workflow_helper.py`:
- Around line 996-1033: The build_workflow_in_use_message function currently
inserts raw pipeline_name/pipeline_type (and api_names entries) into the user
message, which can render "None" or empty backticks; update
build_workflow_in_use_message to defensively coerce missing or empty values to a
friendly placeholder (e.g. "<unknown>" or "unnamed") before formatting: for
pipelines iterate over p in shown and compute name = (p.get("pipeline_name") or
"<unknown>").strip() and p_type = (p.get("pipeline_type") or "Pipeline").strip()
(or similar), and for api_names map any None/empty to a placeholder before
adding backticked entries; keep usage of
WorkflowHelper.USAGE_MESSAGE_DISPLAY_LIMIT and the existing usage dict keys
(pipelines, api_names, pipeline_count, api_count) unchanged.

ℹ️ Review info
⚙️ Run configuration

Configuration used: Organization UI

Review profile: CHILL

Plan: Pro

Run ID: 9778eca5-e3ea-414b-b814-ab21fe1bdaa5

📥 Commits

Reviewing files that changed from the base of the PR and between 993f676 and d81d4a9.

📒 Files selected for processing (3)
  • backend/workflow_manager/workflow_v2/exceptions.py
  • backend/workflow_manager/workflow_v2/views.py
  • backend/workflow_manager/workflow_v2/workflow_helper.py

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