What data for this category looks like
Data for this category primarily comes from pressure testing platforms, APM monitoring tools, database slow logs, and production traffic baselines. Daily produced documents include pressure testing plans, capacity assessment reports, pressure testing data records, and optimization suggestion sheets. Document fields typically include throughput rate, latency, resource usage rate, peak concurrent users, and other metrics. Some documents also associate pressure testing models, bottleneck indicators, and capacity conclusions. Data is updated monthly or when major versions are released. A single update covers all current pressure testing and assessment data, and fields must match the fixed format requirements of the corresponding document.
What constraints these characteristics impose on forms and interactions
Multi-source data collection requires configuring corresponding input fields for form input nodes. Data pulling and multi-source association must be implemented by external business systems, to avoid manual entry of scattered pressure testing and monitoring data. Fixed document structures require preset corresponding field groups in forms, to reduce redundant configuration operations. Fields with units require corresponding validation rules, and validation logic must be implemented by external business systems or subsequent workflow branches, to avoid data confusion. The low update frequency but major version change characteristic requires that forms can be configured with field validation logic adapted to different iteration cycle document standards; this validation logic must also be implemented by external business systems or subsequent workflow branches. Additionally, the most time-consuming pressure testing model design and bottleneck localization steps require displaying high-frequency configuration items upfront, simplifying operation steps and improving drafting efficiency.
How to set configurations
This configuration applies to FastGPT v4.17.0
| Form Item | Recommended Practice | 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 requires checking interaction status to avoid subsequent nodes failing to receive complete input |
User Selection Node userSelect | Test example: Set 2 business options and check each corresponding branch | 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 canceled operations | Compare input and node output to verify whether subsequent nodes receive corresponding fields; result thresholds are determined by actual tasks |
| External Implementation Item: Default File Upload Format Option | Must be implemented separately by external systems; all performance testing file formats | Adapt to performance testing related file format requirements; batch file processing must be implemented by external systems or subsequent nodes |
| External Implementation Item: Bottleneck Indicator Threshold | Must be implemented separately by external systems; latency 100-500 milliseconds, throughput 1000-5000 req/s | Test example range, adapted to the baseline requirements of production traffic baselines |
| External Implementation Item: Capacity Conclusion Validation Logic | Must be implemented separately by external systems; adjust thresholds based on production baselines | Validation logic must be implemented by external business systems or subsequent workflow branches |
Three common mistakes
- File upload only supports a single format and cannot process performance testing files in batches. This occurs because the default file upload format option is not set to all supported performance testing file formats, or the batch file processing logic is not implemented by external systems or subsequent nodes.
- Pressure testing data cannot be pulled after configuring the data source. This occurs because the data source permission configuration of the external business system is not completed, or the external data source interface is not correctly connected.
- Deviations in capacity assessment conclusions lead to resource waste. This occurs because no validation rules are set for bottleneck indicator thresholds, and test example thresholds are used directly without adjustment based on production baselines.
How to confirm the configuration is complete
- Open the file upload module of the form and confirm that all performance testing related file formats are selected by default.
- Test the interaction logic of the user selection node, confirm that information can be passed to subsequent nodes after the user selects a category tag.
- Enter the bottleneck indicator threshold and check whether the external business system or subsequent nodes trigger the rationality validation logic.
- Export the test document and confirm that the exported format includes the preset pressure testing plan fields.
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.