Test Cases and Defect Analysis for Customer Training and Usage Manual: Forms and Interactions

Core documents for this category include training slides, user manuals, training attendance sheets, and question and answer lists. Data sources

What the Data for This Category Looks Like

Core documents for this category include training slides, user manuals, training attendance sheets, and question and answer lists. Data sources include the product help center, customer organizational structure, training recordings, and ticket systems. Updates occur once per order or per version. Documents are split into fields based on training target, operation steps, permission descriptions, and question and answer content. Fields have no fixed units, and must be adjusted flexibly based on the customer’s business scenario.

Constraints on Forms and Interactions

Data for this category comes from multiple sources and is updated frequently, creating multiple constraints for forms and interactions. Documents and ticket data from multiple sources must be integrated into the interactions link. External business systems such as the product help center and ticket systems must provide content to be synchronized. The formInput node is responsible for collecting input information. Frequent version updates create demand for field version synchronization, which must be implemented separately by external business systems. The formInput node only collects input information. Complex role permission explanation content must be split and displayed via external interface logic for the formInput node, to avoid information overload on a single page. Permission control for sensitive configuration fields must be implemented separately by an external permission system. The formInput node only collects input information, to prevent subsequent ticket surges caused by deviations in training content delivery.

Configuration Settings

The following configurations apply to FastGPT v4.17.0.

Configuration ItemRecommended ApproachBasis for This Approach
Form Input Node formInputTest example: Select 3 fields from customer training and usage manual fields as required inputs; actual fields are determined based on the taskThis node collects user input. Missing required fields requires checking interaction status to avoid subsequent nodes failing to obtain complete input
User Selection Node userSelectTest example: Set 2 business options, check corresponding branches one by oneThis node handles user selection. Querying and filtering records related to customer training and usage manuals must be implemented by subsequent interfaces or external systems
Field Passing After SubmissionTest example: Prepare 10 input samples for customer training and usage manuals, covering complete filling, missing required fields, and canceled operationsCompare input and node output to verify whether subsequent nodes receive corresponding fields. Result thresholds are determined based on actual tasks
External Implementation Item: Form Submission Timeout ControlMust be implemented separately by external systems; configured via external interaction logic, recommended as a starting point for testing, such as 60 secondsAdapt to the operation rhythm of training scenarios, avoid submission failures caused by network fluctuations. This configuration is not a built-in FastGPT function, and must be implemented by external systems
External Implementation Item: Interaction Popup Trigger LogicMust be implemented separately by external systems; configured via external interaction logic, recommended as a starting point for testing, such as 30 seconds before form completionPrompt for fields to be supplemented in advance, reduce submission error rates. This logic is not a built-in FastGPT function, and must be implemented by external systems
External Implementation Item: Number of Single Synchronization Data SourcesMust be implemented separately by external systems; configured via external data source synchronization logic, recommended as a starting point for testing, such as the first 20 entriesAvoid form loading lag, adapt to the operation efficiency of training scenarios. This configuration is not a built-in FastGPT function, and must be implemented by external systems

Three Common Mistakes

  • After a form related to customer training and usage manuals is submitted, subsequent nodes do not receive complete fields. Check the mapping between required fields, actual submitted content, and node output item by item, then check subsequent interface returns. Existing symptoms alone cannot determine the root cause.
  • Phenomenon: After calling external knowledge base related variables during form interaction, the referenced content is empty. Cause: The external system fails to associate data sources from the product help center, and variables are not synchronized with corresponding document content, resulting in no valid data for references.
  • Phenomenon: After streaming output mode is enabled, the final complete output result cannot be obtained. Cause: Result aggregation is not configured via external logic, only a single streaming fragment is received, and all returned content is not merged to obtain a complete output.

How to Verify Proper Configuration

  • Perform form field binding testing: Have external business systems such as ticket systems provide common question fields to be bound, confirm that field content loads normally.
  • Trigger role permission filtering via the external permission system, log in with an unauthorized account, confirm that sensitive configuration fields cannot be viewed.
  • Submit the form, check logs to confirm no timeout errors in interface calls, match the timeout rules configured externally.
  • Enable streaming output mode for submission testing, aggregate streaming returned content via external logic, confirm that the complete output result can be obtained.

The values provided are common starting points, and should be evaluated 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.