QA engineers and backend developers
Setting up automated tests for skill CRUD and worker skill assignment in a microservices environment.
使用情境
關於
The Publish Skill Info mind map template provides a structured framework for testing and validating skill-related data publishing workflows, covering 5 core areas with 34 nodes. It is designed for QA engineers and developers to simulate end-to-end scenarios including skill CRUD operations (Create, Archive, Delete, Switch skill type), worker skill assignment and revocation, consumption simulation with RabbitMQ data loss tracking, load testing via CSV imports and GS script submissions, and JSON data format validation for Skill Add/Edit and Worker Skill Score Changes. The template organizes these into distinct branches such as 'Simulate consumption' and 'Simulate Load', offering a comprehensive cheat sheet for ensuring data integrity across CP, RabbitMQ, and consumption apps.
使用條款何時使用此範本
DevOps engineers and system reliability teams
Validating data integrity and recovery procedures after RabbitMQ outages during skill publishing.
Performance testers and engineering leads
Conducting load tests to measure system performance when adding workers via CSV and submitting GS scripts.
如何使用此範本
步驟 1
Open and Analyze Testing Scope
Open the template in Xmind to review the five core branches covering skill operations, worker assignments, and data consumption scenarios.
步驟 2
Customize Parameters and Test Scenarios
Replace placeholder nodes with specific test data like skill IDs and JSON payloads to design recovery tests and load simulation workflows.
步驟 3
Validate Data and Share Results
Verify data integrity across the branches and export the final mind map as an image or PDF to serve as a team test plan.
常見問題
The template includes 5 main branches: Skill, Worker Skill, Simulate consumption, Simulate Load, and Publish Data Format JSON, covering CRUD operations, score changes, data loss recovery, load testing, and JSON validation.
Navigate to the 'Simulate consumption' branch. It guides you through tracking data loss between CP and Rabbitmq, recovering data, and verifying queue resumption after RabbitMQ goes down and comes back up.
Yes. The 'Worker Skill' branch includes nodes for skill score up/down via GS, edit, and GS appeal approval/rejection. You can modify these nodes to match your test cases.
Absolutely. The 'Simulate Load' branch provides steps for adding workers via CSV, updating skill scores via CSV, and simulating GS script submissions with 'Getting Right' and 'Getting Wrong' scenarios.
The 'Publish Data Format JSON' branch validates JSON formats for Skill Add/Edit, Worker Skill Add/Disable/Enable, and Worker Skill Score Changes events.
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