Subtask: Test the performance and accuracy of value passing between nodes
Task Overview:
Evaluate the performance and accuracy of the system that passes values between nodes in the data-river editor. Ensure that data flows seamlessly between nodes with minimal latency, and that values are correctly passed without loss or errors.
SMART Criteria
Specific 🎯:
Test the system to ensure:
Accurate value passing between nodes in workflows, with no data loss or misconfiguration.
Performance under normal and stress conditions, ensuring that value passing is efficient, even with complex workflows.
Real-time data transfer between nodes, ensuring minimal latency during value transmission.
Measurable 📏:
Success will be measured by:
Values being accurately passed in workflows containing at least 5 nodes.
Average latency of less than 200ms for value passing between nodes.
90% of developers confirming that the system passes values accurately and performs well in their workflows.
Achievable 🚀:
This task is achievable by conducting tests on real-world workflows, simulating both simple and complex scenarios to validate value transmission between nodes. Using logging or debugging tools to track data flow will help in identifying bottlenecks or errors.
Relevant 🎯:
Accurate value passing is critical to the overall functionality of the data-river editor, ensuring that workflows execute as intended and that nodes receive the correct data for processing.
Time-bound ⏳:
This task should be completed within 1 week, allowing sufficient time for performance benchmarking and accuracy validation.
Subtasks 📝
[x] Set up workflows with at least 5 nodes to test value passing.
[x] Measure the latency and accuracy of data passing between nodes, identifying any delays or inaccuracies.
[x] Simulate stress conditions to ensure the system can handle multiple concurrent value transfers without errors or performance degradation.
[x] Use logging or debugging tools to track value passing and identify bottlenecks or errors.
[x] Collect feedback from developers and beta testers to confirm performance and accuracy under real-world usage conditions.
Acceptance Criteria ✅
[x] Values are passed accurately between nodes in workflows with 5 or more nodes.
[x] Latency for value passing is consistently under 200ms in all scenarios.
[x] 90% of developers report that value passing is accurate and the system performs well under normal and stress conditions.
Additional Notes 🗒
Focus on ensuring that even complex workflows with multiple input/output connections perform well without any degradation in value passing accuracy.
c0rtexR
commented
6 days ago
Subtask: Test the performance and accuracy of value passing between nodes
Task Overview:
Evaluate the performance and accuracy of the system that passes values between nodes in the data-river editor. Ensure that data flows seamlessly between nodes with minimal latency, and that values are correctly passed without loss or errors.
SMART Criteria
Specific 🎯:
Test the system to ensure:
Measurable 📏:
Success will be measured by:
Achievable 🚀:
This task is achievable by conducting tests on real-world workflows, simulating both simple and complex scenarios to validate value transmission between nodes. Using logging or debugging tools to track data flow will help in identifying bottlenecks or errors.
Relevant 🎯:
Accurate value passing is critical to the overall functionality of the data-river editor, ensuring that workflows execute as intended and that nodes receive the correct data for processing.
Time-bound ⏳:
This task should be completed within 1 week, allowing sufficient time for performance benchmarking and accuracy validation.
Subtasks 📝
Acceptance Criteria ✅
Additional Notes 🗒
Focus on ensuring that even complex workflows with multiple input/output connections perform well without any degradation in value passing accuracy.