What data for this category looks like
Data sources include water source and raw material testing, formula systems, online sugar and acidity monitoring, filling equipment, visual inspection systems, and LIMS systems. Daily documents include formula sheets, water treatment records, blending records, sterilization or aseptic filling records, packaging material inspection records, and finished product inspection records. Data is updated per batch, per shift, or via continuous collection. Fields include feeding parameters, testing indicators, equipment operating parameters, batch identifiers, and compliance check items. Units match production scenarios for the category, such as dedicated production units for feeding volume, turbidity, liquid level, and similar metrics.
What constraints these characteristics impose on forms and interactions
The multi-source, scattered data sources for this category require forms and interactions to support cross-system data pulling and automatic association, to avoid duplicate data entry. The high-frequency batch and shift-level update rhythm requires forms to dynamically load the latest data for the corresponding production batch, to prevent use of outdated information. The category-specific compliance check requirements, such as concentrate and additive feeding ranges, water treatment indicator thresholds, require forms to include real-time check logic for corresponding fields. Frequent product switching scenarios require forms to quickly switch field configurations adapted to different categories, to reduce repeated adjustments. The high-speed liquid filling production rhythm requires form interaction responses to meet real-time requirements, to avoid impacting bid document preparation efficiency.
How to set the configuration
This configuration is based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Basis for This Approach |
|---|---|---|
formInput | Bind historical data such as formulas and water treatment for the corresponding production batch, and load no more than 15 batch records at a time | Category data is updated per batch, and must be associated with real production data for the corresponding batch to avoid redundant data slowing down interactions |
userSelect | Provide three data source switching options, corresponding to water source testing, formula system, and filling equipment knowledge base respectively | The category's data sources are scattered across three categories, and support for automatically switching retrieved content by data source is required |
| Form validation rules | Enable interval validation for concentrate and additive feeding volumes, with thresholds set based on actual measurements | The most time-consuming review link for the category is feeding verification, and risks of exceeding limits must be intercepted in the form in advance |
| Loop body configuration | Set the loop index step size to 1, and bind the inspection record group for a single batch | The category requires processing multiple sets of inspection data per batch, and the loop index must accurately match the batch order |
| Interaction response timeout | Set to 30 seconds | Under high-speed production rhythms, interaction response duration must be controlled to avoid delaying bid document preparation |
Three common errors
- Symptom: Null values are returned for fields after the loop body runs. Cause: The single-batch inspection record group is not bound as the loop data source, and the index step size does not match the data structure.
- Symptom: The user's selection to skip knowledge base retrieval has no response. Cause: The selection result from
userSelectis not synchronized to the retrieval trigger logic, so the user's selection parameters cannot be identified. - Symptom: An error occurs when switching data source categories. Cause: The category names are not bound to the category's data sources, so the corresponding data source cannot be matched during retrieval.
How to confirm the configuration is complete
- After selecting the corresponding production batch, check whether the historical data loaded by
formInputincludes records such as formulas and water treatment for that batch. - Operate the data source switching options in
userSelect, and confirm that the retrieval process adjusts the corresponding knowledge base based on the selected category. - Run the loop body test process, confirm that the index value increases by 1 each time, and that the returned inspection record group matches the batch.
- Trigger validation and retrieval actions, confirm that no obvious delay occurs in the interaction response, which meets the real-time requirements of the production scenario.
The values provided here are common starting points, and should be evaluated against the reader's own samples.