What this category of data looks like
Data sources include internal party building learning platforms of nuclear power operation enterprises, official party building policies and learning materials released by the superior state-owned assets supervision body. Content is synced for updates once per month. Documents follow a standardized structure with five fields: document title, issuing department, release date, core knowledge point entries, and main body content. Most main body fields are structured text ranging from 5000 to 10000 characters. Some documents include annotated explanatory text for on-site party building activities.
What constraints these characteristics impose on forms and interactions
Because the main body of documents is lengthy, form input components must support long text input and preview to prevent content truncation that disrupts user submissions. Since fields include issuing department and release date, the interaction flow must support targeted filtering by field. This meets user needs to find learning content by job role or time. Since updates occur once per month, the form’s data source sync configuration must bind to a monthly trigger mechanism. This ensures recalled content aligns with official updates. Additionally, nuclear power operation party building learning targets on-site operational staff. Forms and interactions must adapt to compact mobile layouts and one-handed operation scenarios.
How to set configurations
| Configuration Item | Recommended Setting | Basis for This Setting |
|---|---|---|
formInput | Multi-line input, maximum 10000 characters | Adapts to the long main body input requirements of party building learning documents, supports users submitting detailed learning questions or on-site learning feedback |
userSelect | Select grouped by department, default select the current user's department | Matches the hierarchical management rules of nuclear power operation party building learning, ensures pushed content aligns with job scenarios |
| Form sync trigger timing | Execute at 2:00 AM on the 1st of each month | Matches the monthly update rhythm of the party building knowledge base, ensures timeliness of interactively recalled content |
| Interaction filtering dimensions | Filter by release date, document topic | Corresponds to the standardized field structure of party building documents, supports users to targeted query target learning content |
| Mobile button spacing | 48 pixels | Adapts to the one-handed operation scenarios of on-site nuclear power personnel, improves interaction convenience |
Three common configuration errors
- Symptom: The
formInputcomponent fails to render in the conversation interface, leaving the interaction button area blank. Cause: The trigger node forformInputwas not configured in the workflow, so the component does not load into the conversation interface. - Symptom: No follow-up message appears after a user submits a form, and no docking notification is received. Cause: The notification node after form submission was not bound, and push rules for enterprise WeChat or internal messaging were not configured.
- Symptom: Filtered interactive content does not match the current job role. Cause: The department association configuration for
userSelectwas not enabled, so recalled content is not filtered by the user's department.
How to verify a complete configuration
- Log in to the FastGPT v4.17.0 application backend, navigate to the interaction configuration page, and check if the maximum input character count of the
formInputcomponent is set to 10000. - Submit a test form, check if the preset notification process triggers, and confirm that the message is pushed to the designated docking personnel.
- Switch to test accounts from different departments, check if the
userSelectcomponent defaults to the corresponding department, and if the filtering function operates correctly. - Preview the application interface on a mobile device, confirm that the button spacing matches the preset 48 pixel standard and adapts to one-handed operation.
Note: The values listed above are common starting points. Adjust them based on your own specific samples and use cases.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.