What the data for this category looks like
Data mainly comes from refined oil station inventory and sales management systems, employee scheduling and attendance systems, and fuel card operation backends. There are three update rhythms: inventory and sales data is synced in real time, scheduling data is updated daily at midnight, and monthly reconciliation data is generated each month. The document structure includes fields such as fuel volume (unit: liters), daily sales per station (unit: yuan), employee on-duty hours (unit: hours), remaining oil product stock (unit: cubic meters), and fuel card top-up records. Some fields use station ID and employee ID as unique identifiers.
Constraints imposed by these characteristics on forms and interactions
Real-time synced inventory and sales data requires forms to pull the latest data each time they load. Do not use cached historical snapshots, to ensure submitted business data is accurate. Daily updated scheduling data requires the data source for employee selection components to refresh daily. This ensures the available scheduled employees are those on duty that day. Multi-station business scenarios require forms to support filtering associated data by station ID, to avoid mixing cross-station data. Differences in field units require forms to have built-in unit conversion and verification logic, to unify measurement standards for display and submission. Bulk submission requirements for monthly reconciliation data require forms to support bulk import and verification of multi-row data, to adapt to monthly summary business processes.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Suggested Value | Rationale |
|---|---|---|
formInput data refresh strategy | Real-time pull | Adapt to the real-time update business characteristics of inventory and sales data, avoid submitting outdated inventory or sales data |
userSelect data source refresh frequency | Sync at 0:00 daily | Match the daily update rhythm of employee scheduling data, ensure available personnel are those on duty that day |
| Form field unit verification | Force matching preset units | Avoid business errors caused by mixed measurement units, comply with national measurement specifications for refined oil sales |
| Bulk import support | Enable single-row verification | Adapt to the bulk data submission requirements of monthly reconciliation, intercept incorrectly formatted import content in advance |
| Timeout threshold | 600 seconds | Cover network delays when pulling data from multiple stations, avoid request interruptions caused by large data volume |
userSelect filtering rules | Associate by station ID | Differentiate employees and data from different stations, adapt to multi-station internal office scenarios |
Three Common Misconfigurations
- Form submission returns that required fields are empty. Cause: Failed to correctly associate the data source fields of
formInput, failed to carry business required parameters such as fuel volume and station ID, resulting in interface verification failure. - Employee selection list does not update the daily scheduled personnel. Cause: Failed to configure the data source refresh rule for
userSelect, used cached historical employee data, did not match the daily updated scheduling rhythm. - Configured large model temperature parameter but it does not take effect. Cause: Did not specify the temperature parameter via the variable reference method of the AI chat component, or the configuration item was not correctly bound to the node input, resulting in the parameter not being loaded correctly.
How to Confirm Correct Configuration
- Manually load the form page, confirm that associated inventory data, fuel card balance and other real-time data match the values displayed in the current system.
- Switch the station ID filter, check that the
userSelectcomponent only displays the on-duty employee list for the selected station. - Submit test data with invalid formats, such as non-numeric fuel volume or stock values outside a reasonable range, confirm that the form triggers matching verification prompts.
- Adjust the timeout threshold configuration, simulate bulk data pulls from multiple stations, confirm that requests are not interrupted due to an excessively low threshold.
The values listed here 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 2026-09-28.