What This Category of Data Looks Like
This category of data draws from four sources: the health supervision information system, medical institution electronic registration system, complaint and reporting platform, and law enforcement inspection records. The system updates data on a monthly basis. Commonly used documents include supervision inspection forms, medical institution practice licenses, rectification notices, supervision opinions, and penalty case files. Data fields cover institution main body names, license qualification numbers, inspection item details, rectification requirements, and penalty-related content. No unified fixed unit applies to all fields. Each document’s fields adapt to its specific business scenario.
What Constraints These Characteristics Bring to Form and Interaction Workflows
Decentralized data sources and monthly updates require form interactions to support cross-system call verification for multi-source data. This prevents duplicate entry of cross-system institution qualification information. The monthly update frequency means the form’s knowledge base recall range must match the monthly update rhythm to avoid loading outdated data. Diverse document types require the form to support field recognition and adaptation for different documents. Examples include extracting license numbers from medical institution practice licenses and extracting rectification items from rectification notices. No unified fixed unit exists for data fields, so interaction components must support dynamic adaptation of field units. This avoids input errors caused by forced fixed units. For time-consuming business links involving institution qualification verification, the form must integrate automatic data filling capabilities to reduce manual entry workload.
How to Configure Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
formInput | Configure multi-document field mapping rules | Based on the need to adapt to the field structures of diverse documents such as supervision inspection forms and practice licenses, to achieve automatic cross-system data filling |
userSelect | Limit the optional range to institution qualification fields | Based on the need to quickly call existing license and inspection data in the health supervision information system, to reduce manual entry |
| Single search limit | Top 5 entries | Based on the low-frequency scale of monthly updated data, to control the returned data volume and avoid interface lag |
| Maximum context | 800–1200 characters | Based on the average length of daily documents, to adapt to the content scale of law enforcement inspection records and rectification notices |
| Field unit adaptation | Calibrate based on actual testing | Based on the characteristic that each document’s fields have no unified fixed unit, to dynamically adapt input formats |
| Knowledge base recall range | Last 30 days | Based on the monthly data update frequency, to avoid recalling outdated data beyond the update cycle |
Three Common Misconfigurations
- Symptom: No optional values pop up when referencing variables while configuring the
userSelectcomponent. Cause: The data source node of the health supervision information system was not associated in advance, so the component cannot read existing institution qualification fields. - Symptom: A large number of escaped backslashes appear when passing HTTP request-obtained law enforcement inspection record data to another node. Cause: The automatic JSON parsing switch for response data was not enabled, causing the original JSON string to be double-escaped.
- Symptom: The front-end interface lags when dragging the
formInputcomponent to configure multi-field mapping. Cause: Too many cross-system data sources were bound at the same time, causing excessive component rendering load.
How to Verify Successful Configuration
- Open the
formInputcomponent configuration panel, check whether the fields of the corresponding business documents have been mapped, and confirm that the mapping rules align with business requirements. - Trigger the variable reference pop-up window of the
userSelectcomponent, check whether the configured institution qualification related fields are displayed, and confirm that the data source association is correct. - Simulate form submission, check whether the entered fields automatically adapt to the corresponding units, and confirm that the field unit adaptation logic takes effect.
- Test cross-node data flow, check whether the JSON data returned by the HTTP request is parsed normally without additional escape characters, and confirm that the parsing switch is enabled correctly.
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.