What data for this category looks like
Data for this category mainly comes from the random inspection and public disclosure regulation platform, enterprise credit information public disclosure system, industry supervision system, and law enforcement officer directory. Update frequency is once per month. Daily documents include inspection plans, inspection target lists, inspection item lists, on-site inspection records, rectification notices, and inspection result public disclosures. Fields cover unified social credit codes of inspection targets, law enforcement officer numbers, inspection item categories, rectification time limits, and more. Units include number of people, number of items, standard date format, and more.
What constraints these characteristics impose on the forms and interactions link
Monthly updated data requires forms to support batch import and incremental updates. This eliminates duplicate manual data entry. Structural differences across multiple document types require forms to support group configuration. Groups separate form fields for different supervision stages. Matching law enforcement officers to inspection targets requires binding official directory data sources. This ensures supervision subjects meet qualification requirements. Complete fields for inspection result public disclosures require mandatory required field verification. This prevents missing entries from delaying subsequent public disclosure processes.
How to set configurations
This configuration example uses FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
formInput | Enable field grouping, each group corresponds to one type of supervision document | Significant structural differences exist between inspection item, target, and record documents. Grouping reduces form filling complexity |
userSelect | Bind law enforcement officer directory data source, support single selection | Must match law enforcement officer qualifications. Retrieving data from the official directory ensures supervision subject compliance |
| Single submission limit | 50 records | Matches batch processing scale of monthly updated data. Avoids overload from single submissions |
| Batch import format verification | Verify unified social credit code format | Ensures imported inspection target data complies with official specifications |
| Timeout setting | 600 seconds | Matches processing duration for batch imported data. Prevents mid-process interruptions |
| Knowledge base switch trigger | Automatically switch based on input supervision region name | Adapts to supervision knowledge base requirements for different regions |
Three common configuration errors
- When configuring the
userSelectcomponent without binding the law enforcement officer directory, empty law enforcement officer fields appear after submission. No official data source is associated, so data cannot be retrieved. - Attempting to automatically switch based on the input knowledge base name returns the error
{"message": "common:core.chat"}. No mapping relationship is established between form fields and knowledge base configuration. - When cyclically generating inspection tasks, the index accumulation result is null. No initial value for the starting index is configured in the cyclic logic. This causes index exceptions during first execution.
How to confirm correct configuration
- Submit a single test data entry. Check if required fields trigger corresponding verification prompts. Confirm field verification rules are active.
- Switch the supervision region name. Confirm retrieval results from the corresponding knowledge base match regional supervision items. Verify automatic switching logic works correctly.
- Batch import 10 test records. Confirm no errors occur after submission and data is successfully stored. Verify batch submission function works correctly.
- View the law enforcement officer selection component. Confirm dropdown options match the official law enforcement officer directory. Verify data source binding is correct.
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.