What data for this category looks like
Data sources include internal party building ledgers from urban water utility systems, study guidance documents issued by superior party committees, quarterly party lecture courseware, and daily party affairs activity records. Update cadence is sync within 1 to 3 working days after a superior document is released. Daily party affairs records are updated on the same day the activity is completed. Most documents are chaptered government texts, with fixed fields including learning topic, holding time, attendees, learning content, and learning reflections. Most field types are text, with a small number being selectable types. Common units are "times", "articles", "people", and "hours".
What constraints these characteristics impose on form and interaction
Party building learning data has strong government attributes and fixed field formats. Forms must match the ledger specifications of water utility party affairs. This avoids incompatibility between custom fields and existing data. Update frequency fluctuates greatly. Support for on-demand knowledge base synchronization is required. This prevents frequent full updates from consuming system resources. Most documents are long texts with fixed paragraphs. Single content length must be limited during form input. This prevents exceeding model processing limits. Some fields are selectable items for personnel and time. A fixed option pool must be configured. This ensures input content complies with unified management requirements for water utility party affairs.
How to configure settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
formInput | 800–1200 characters | Most party building learning documents for urban water utilities are chaptered long texts. This length matches the splitting boundary for single-item input. It avoids semantic fragmentation from being too short, and exceeding processing thresholds from being too long |
userSelect | Fixed option pool (learning topic, learning time, attendees, learning content) | Water utility party affairs forms must match internal ledger fields. Fixed options ensure input content is unified with existing data formats |
| Single input limit | 5 items per submission | Matches the scale of single records for daily party affairs activities. It avoids excessive data submitted in a single operation causing high system load |
| Form validation trigger timing | Real-time validation before submission | Intercepts non-compliant input in advance. Reduces invalid data entering the knowledge base, and improves subsequent Q&A accuracy |
| Q&A pair extraction prompt | Calibrated based on actual testing | The expression style of party building learning content is unified. Adjust prompts based on actual documents to ensure split Q&A pairs comply with party affairs Q&A logic |
| Form submission timeout | 30 seconds | The data volume of party affairs form submissions is small. This duration is sufficient to complete verification and synchronization operations |
Three common misconfigurations
- Phenomenon: Selectable form options jump frequently. Cause: No fixed option pool configured for
userSelect. The system calls a dynamic data source by default, causing option refresh. - Phenomenon: Format errors occur after knowledge base import. Cause: No input length limit configured for
formInput. Long texts are not split, leading to semantic loss and triggering model parsing failure. - Phenomenon: Q&A can be submitted without completing form filling. Cause: No form validation trigger timing configured. Mandatory validation for required fields is not set, causing empty data to flow into the Q&A process.
How to verify successful configuration
- Open the form configuration page in FastGPT v4.17.0, and verify that the option pool for
userSelectmatches the fields in the water utility party affairs ledger. - Submit a test data item that exceeds the
formInputlength limit, and check whether the system displays a corresponding prompt. - Simulate a submission operation with required fields left blank, and confirm that the system intercepts the submission and prompts for complete information.
- Trigger a knowledge base synchronization, and check whether the updated documents comply with the preset splitting rules.
All recommended configuration values are common starting points, and should be adjusted based on the reader's own specific samples and operational needs.
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.