What the data for this category looks like
Party building learning Q&A data for the new energy development field mainly comes from temporary party branch meeting minutes of central state-owned enterprise new energy projects, thematic materials issued by superior party building departments, and daily party building activity records at substations. The data update rhythm is monthly, matching the monthly party building learning theme update cycle. The document structure has four core modules: thematic title, learning key points, implementation requirements, and applicable substation scope. Fields include theme number, issuing unit, applicable substation type, and effective date. All content follows a standard document structure format.
What constraints these characteristics impose on forms and interactions
Data sources are scattered across independent knowledge bases at each substation. This requires form interactions to support associative retrieval across multiple knowledge bases, to avoid missing content from single-library searches. The monthly update feature requires configuring periodic knowledge base refresh trigger options in the interaction flow, to ensure returned content is the latest version. Documents include the applicable substation type field, so forms need a category filter component to let users quickly locate party building content for their target substations. The effective date field requires interactions to support filtering learning materials by time range, to adapt to learning needs at different stages.
How to set the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
formInput configuration | Associate party building theme, applicable substation, effective date fields | Match core attributes of new energy party building learning data to enable precise retrieval |
userSelect component | Single selection by substation type, multiple selection by learning theme | Adapt to classification characteristics of new energy projects, simplify user interaction flow |
| Single interaction return count | Top 3 entries | Avoid interaction overload from excessive party building materials |
| Timeout threshold | 60 seconds | Adapt to retrieval response rhythm of scattered knowledge bases |
| Content extraction trigger rule | Match party building keywords entered by users | Align with party building learning Q&A interaction scenarios |
Three common configuration errors
- Phenomenon: After configuring
formInputassociated fields, search results are always empty. Cause: Party building learning data fields are not mapped to fields in the form configuration, so search conditions cannot match the data source. - Phenomenon: Text content extraction node returns empty values, and cannot trigger subsequent specified replies. Cause: Party building keywords entered in the form are not bound to the extraction rule, so the extraction logic cannot match target content.
- Phenomenon: Submitting the form results in a timeout error. Cause: The set timeout threshold is lower than the average response time of scattered knowledge bases, causing retrieval to be interrupted before completion.
How to confirm the configuration is complete
- Enter preset party building learning theme keywords, check if search results include learning materials for the corresponding substation.
- Select a specific substation type, check if interaction results only include party building content for that substation.
- Simulate a timeout scenario, check if retrieval is completed and results are returned within the set threshold.
- After submitting the form, check if fields configured in
formInputare correctly passed to 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 2026-09-28.