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dify - ✅(Solved) Fix data cross environment migration [1 pull requests, 1 participants]

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langgenius/dify#35043•Fetched 2026-04-14 05:56:50
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Fix Action

Fixed

PR fix notes

PR #35044: feat: data cross environment migration

Description (problem / solution / changelog)

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Summary

fix https://github.com/langgenius/dify/issues/35043

In the multi tenant Dify deployment scenario, it is necessary to migrate custom tools (API Tools), workflows (Workflow App), and workflow tools (Workflow Tool) between different environments (development → testing → production), or batch preset data during initial deployment.

Core demand:

  • Keep the original resource ID when exporting, and write it as it is when importing to ensure consistency across environment IDs (the workflow tool references the app_id of the workflow app, and if the ID changes, the reference becomes invalid).
  • Isolate by tenant (Workspace) and use the tenant's first Owner account to perform operations.
  • Support incremental import: update if the resource already exists, and create if it does not exist.

Screenshots

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Checklist

  • This change requires a documentation update, included: Dify Document
  • I understand that this PR may be closed in case there was no previous discussion or issues. (This doesn't apply to typos!)
  • I've added a test for each change that was introduced, and I tried as much as possible to make a single atomic change.
  • I've updated the documentation accordingly.
  • I ran make lint && make type-check (backend) and cd web && pnpm exec vp staged (frontend) to appease the lint gods

Changed files

  • api/commands/__init__.py (modified, +12/-1)
  • api/commands/system.py (modified, +685/-0)
  • api/core/tools/tool_manager.py (modified, +5/-3)
  • api/core/tools/utils/parser.py (modified, +2/-2)
  • api/extensions/ext_commands.py (modified, +6/-0)
  • api/services/app_dsl_service.py (modified, +4/-1)
  • api/services/tools/workflow_tools_manage_service.py (modified, +3/-1)
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Self Checks

  • I have read the Contributing Guide and Language Policy.
  • I have searched for existing issues search for existing issues, including closed ones.
  • I confirm that I am using English to submit this report, otherwise it will be closed.
  • Please do not modify this template :) and fill in all the required fields.

1. Is this request related to a challenge you're experiencing? Tell me about your story.

In the multi tenant Dify deployment scenario, it is necessary to migrate custom tools (API Tools), workflows (Workflow App), and workflow tools (Workflow Tool) between different environments (development → testing → production), or batch preset data during initial deployment.

Core demand:

  • Keep the original resource ID when exporting, and write it as it is when importing to ensure consistency across environment IDs (the workflow tool references the app_id of the workflow app, and if the ID changes, the reference becomes invalid).
  • Isolate by tenant (Workspace) and use the tenant's first Owner account to perform operations.
  • Support incremental import: update if the resource already exists, and create if it does not exist.

2. Additional context or comments

No response

3. Can you help us with this feature?

  • I am interested in contributing to this feature.

extent analysis

TL;DR

To achieve consistent resource IDs across environments in a multi-tenant Dify deployment, consider implementing an ID mapping mechanism during the migration process.

Guidance

  • Identify the key components involved in the migration: API Tools, Workflow App, and Workflow Tool, and understand how their IDs reference each other.
  • Develop a strategy for ID mapping that preserves the original resource IDs during export and import, ensuring consistency across different environments.
  • Implement tenant isolation using the Workspace concept and utilize the first Owner account of each tenant for performing operations.
  • Design an incremental import feature that updates existing resources and creates new ones if they do not exist, ensuring data consistency and integrity.

Example

No specific code example can be provided without more detailed technical information about the Dify deployment and its components. However, a high-level approach might involve creating a mapping table or dictionary that associates original IDs with their counterparts in the target environment.

Notes

The solution will depend on the specific architecture and technologies used in the Dify deployment. Careful consideration of data integrity, consistency, and security is necessary when designing the migration and ID mapping process.

Recommendation

Apply a workaround by implementing an ID mapping mechanism, as upgrading to a fixed version is not mentioned or implied in the provided issue context. This approach allows for a tailored solution to the multi-tenant deployment scenario described.

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