Page Overview
- Client industry: Refinery and chemical production
- Business direction: Party building learning Q&A
- Capability area: Forms and interactions
What the data for this category looks like
Data sources include ledgers from internal party building management systems of refinery and chemical enterprises, daily team learning records, and official learning documents issued by superior party committees and groups. Update frequency is weekly synchronization of team learning updates, and monthly synchronization of official learning materials. Document structure is a single piece with multiple chapters, including fixed fields such as learning topic, issuing entity, effective date, supporting assessment requirements, and reference material links. Field units include hours (for learning duration), pieces (for learning materials), dates (for release time), and other standard units.
What constraints these characteristics impose on forms and interactions
Fixed fields of party building learning data require forms to include preset items such as topic, issuing entity, and assessment requirements. This prevents custom fields from deviating from business specifications. Data is updated weekly or monthly, so the form’s data source synchronization cycle must match the update rhythm to avoid content lag or redundancy. Documents include reference links, so link input items that support jumping must be configured in the form to facilitate access to supporting materials. In refinery and chemical production scenarios, some learning content is linked to production job requirements. The form must add job association options to ensure learning content matches the actual needs of corresponding production teams.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
formInput | Text input (for topic, issuing entity), number input (for learning duration), link input (for reference materials). Limit the learning duration field to an input range of 0-24 and label the "hour" unit | Matches the fixed field structure of party building learning documents, ensures input content corresponds one-to-one with data source fields, and reduces format verification costs |
userSelect | Preset refinery and chemical production job options (such as hydroprocessing operator, distillation shift supervisor), bind association rules between jobs and learning content | Aligns with job division in refinery and chemical production, ensures learning content matches the party building learning needs of corresponding teams |
| Form synchronization cycle | Synchronize team learning data once a week, synchronize official party committee documents once a month | Matches the data source update rhythm, avoids content lag or excessive system resource usage |
| Unit verification switch | Enable, force matching of preset units for numeric fields | Ensures input content complies with the unit specifications of document fields, reduces subsequent data organization difficulty |
| Pre-submission verification rules | Verify whether required fields (topic, issuing entity, learning duration) are complete before submission | Avoids submitting invalid forms, ensures form content meets the basic information requirements of party building learning |
Three common mistakes
- Phenomenon: Empty fields or format errors are returned when calling the API to obtain form configurations. Cause: The API synchronization switch is not enabled in the FastGPT v4.17.0 form configuration, or custom fields do not match the field names of the data source.
- Phenomenon: Unit mismatch errors appear after form submission. Cause: The unit verification switch is not enabled, or the preset unit prompt is not bound to the input control, resulting in input content that does not meet the document field requirements.
- Phenomenon: Job options in the form cannot be associated with corresponding learning content. Cause: The association rule between jobs and learning content is not bound in the
userSelectconfiguration, resulting in a disconnect between options and learning needs.
How to confirm the configuration is complete
- Manually fill in a test data set that complies with specifications, check whether correct verification prompts are triggered after submission, and whether submission is blocked when required fields are missing.
- Call the FastGPT form API interface to confirm that the returned fields are completely consistent with the configured items, with no extra or missing fields.
- Select a preset job option, check whether the corresponding party building learning content for the job is automatically associated, with no misalignment.
- View the data source synchronization log to confirm that the synchronization cycle matches the configured weekly/monthly update rhythm, with no abnormal delays.
The values provided here 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.