Data Overview for This Category
Data for this category comes primarily from stress testing platforms, APM monitoring systems, database slow logs, and production traffic baselines. Regular deliverables include stress testing plans, capacity assessment reports, stress testing data records, and optimization suggestion sheets. Updates are released monthly or when major versions launch. Data fields include throughput rate, latency, resource occupancy rate, peak request volume, and additional relevant metrics. Common units are seconds, requests per second, percentage, and MB. The most time-consuming core workflow steps are stress testing model design, bottleneck indicator identification, and capacity conclusion review. Data anomalies or inaccurate conclusions may lead to service timeouts during peak periods, unreasonable resource procurement, or wasted scaling operations.
Constraints Imposed on Forms and Interactions
Scattered data sources and inconsistent field units require external business systems or subsequent workflow nodes to handle automatic multi-source data mapping and unit conversion. Forms are only responsible for collecting and entering data. The periodic update frequency requires external business systems or subsequent workflow nodes to implement versioned saving and historical data retrieval functions. Forms only support saving currently entered data. Stress testing scenarios have strong personalized requirements, and existing built-in controls cannot cover all testing use cases. A custom control access entry must be reserved. Bottleneck indicators vary widely across different projects, so forms must support dynamically adding custom indicator fields. Additionally, the defect analysis link requires linking stress test data with logs. External business systems or subsequent workflow nodes must implement data association and jump logic to enable quick problem localization.
Configuration Guidelines
This configuration guide applies to FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
Form Input Node formInput | Test example: Select 3 fields from performance testing and capacity assessment as required inputs; actual fields are determined by the task | This node collects user input; missing required items must trigger interaction status checks to prevent subsequent nodes from receiving incomplete input |
User Selection Node userSelect | Test example: Set 2 business options and verify corresponding branches one by one | This node handles user selection; querying and filtering performance testing and capacity assessment related records must be implemented by subsequent interfaces or external systems |
| Post-Submission Field Passing | Test example: Prepare 10 performance testing and capacity assessment input samples covering complete filling, missing required items, and cancellation operations | Compare input and node output to verify whether subsequent nodes receive corresponding fields; result thresholds are determined by the actual task |
| External Implementation Item: Multi-Source Data Mapping | Must be implemented separately by external systems; implemented by external business systems or subsequent workflow nodes to match multi-source data fields and convert units; forms only provide manual configuration entries for entered fields. Test example: Support field mapping for 3 data sources | Data sources are scattered and units are inconsistent; external logic is required to reduce data entry costs |
| External Implementation Item: Versioned Saving and Historical Data Retrieval | Must be implemented separately by external systems; implemented by external business systems or subsequent workflow nodes; forms only support saving currently entered data | Data update frequency is monthly or upon major version releases; external systems are required to retrieve historical configurations |
| External Implementation Item: Custom Control Access | Must be implemented separately by external systems; open standard interfaces to access third-party input controls | Built-in controls cannot cover the personalized interaction requirements of all testing scenarios |
Three Common Misconfigurations
- Unable to add custom test indicator fields: Verify whether the custom field addition entry is enabled, or whether third-party input controls are accessed via open standard interfaces.
- The AI model dropdown list in the workflow is empty: Verify whether usage permissions for the corresponding model are bound in the workflow configuration.
- Knowledge base association works normally during debug preview, but an error prompts that no knowledge base is selected after publishing: Verify whether required validation and publishing linkage rules for the knowledge base are configured in the external business system or subsequent workflow nodes.
How to Verify Successful Configuration
- Open the form configuration page, check for the custom field addition entry, and confirm that third-party input controls are accessed via open standard interfaces.
- Navigate to the workflow configuration page, verify that the AI model dropdown list loads preset options, and confirm that role permissions are correctly bound in the workflow configuration.
- After saving the form configuration, view the historical version list via the external business system to confirm that historical configuration snapshots are correctly generated.
- Simulate entering stress test data, submit the form, and verify that multi-source data mapping completes unit conversion according to preset logic via the external business system or subsequent workflow nodes.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.