What this category of data looks like
Data for this category comes from business ledgers, warehouse receipt systems, daily inventory reports, and quality inspection archives of grain reserve depots at all levels. Data is updated on two schedules: physical inventory data updates daily, while warehouse receipt changes and quality inspection report updates sync in real time. The document structure includes fields such as depot number, grain variety, quality grade, inventory quantity, inbound batch, and quality inspection report number. Inventory quantity uses tons as its unit. Time fields follow the YYYY-MM-DD format. Number fields are 12-character alphanumeric strings. FastGPT v4.17.0 supports format validation and dynamic loading configuration for this type of data.
What constraints these characteristics impose on the forms and interactions link
Data fields cover multiple business attributes with strict unit requirements. Forms must set format validation rules for fields such as inventory quantity and quality inspection report number to avoid incorrect unit inputs or non-compliant number formats. Real-time updated warehouse receipt data requires the interaction link to dynamically pull latest options, to avoid using expired warehouse receipt numbers as guided input options. Fixed enumeration fields such as grain variety and quality grade must use dropdown selection components, to reduce compliance issues caused by free text input. Required fields vary across different business scenarios, so the form’s required item configuration must adjust dynamically based on the processing flow.
How to set the configurations
| Configuration Item | Recommended Configuration | Rationale |
|---|---|---|
formInput | Enable real-time format validation, restrict inventory quantity field input to positive integers, limit the unit to tons, and set a single input maximum length of 2000 characters | The unit for grain reserve inventory data is fixed as tons to avoid input unit errors; controlling input length prevents exceeding business data limits |
userSelect | Pre-set 15 high-frequency grain variety options and 10 depot type options, sorted by business priority | Grain variety and depot type are fixed enumerations, reducing compliance issues caused by free text input |
| Dynamic option loading | Bind to the warehouse receipt system interface, refresh the optional warehouse receipt number list every 60 seconds | Warehouse receipt data is updated in real time, so the interaction link must use the latest data |
| Context limit | Retain the last 3 rounds of business processing conversations, with a maximum context length of 8000 tokens | Grain reserve business processes have multiple steps, and key processing information must be retained to avoid repeated input |
| Input guidance thesaurus | Load the local grain reserve business term thesaurus, including specialized terms such as quality inspection, inbound, and outbound | Matches common questions in business processing scenarios, improving guidance accuracy |
| Form submission validation | Set required fields to check before submission: inventory quantity, grain variety, and depot number | Prevents processing failures caused by missing core business fields |
Three common mistakes
- The symptom is that after enabling input guidance and configuring the business thesaurus, expected guidance questions do not appear in the conversation interface. The cause is that the thesaurus is not bound to the current
formInputcomponent, or the thesaurus's trigger threshold is set too high to match business keywords in the user's input. - The symptom is that the same input produces inconsistent results between workflow debugging and front-end testing. The cause is that the debugging environment does not synchronize front-end context configuration parameters, or old data from local cache is used during debugging.
- The symptom is that a field-empty error is returned after form submission. The cause is that required item validation is not configured, or the identifier of the required field does not match the business data field.
How to confirm the configuration is complete
- Open the conversation interface, enter grain reserve-related business keywords, and check whether preset guidance questions pop up.
- Try entering inventory quantity that does not meet unit requirements, and check whether the format validation prompt triggers.
- Skip required fields when submitting the form, and check whether the required item validation prompt triggers.
- Adjust the thesaurus content, and check whether guidance questions in the conversation interface update synchronously.
Note: The configuration values listed above are common starting points. They should be evaluated against the reader’s 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.