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What Data Looks Like for This Category
Data sources for this category are registered or archived formulas, raw material safety documents, weighing and emulsification data collected by production equipment, ERP/MES systems, laboratory test records, and packaging material version archives. Daily documents cover formula work instructions, weighing and feeding records, emulsification or filling records, cleaning and site clearance records, semi-finished and finished product test reports, and label review forms.
Data is updated per production batch and each line change. Fields include restricted substance content, feeding weight, emulsification temperature, batch number, packaging material version number, and other production and compliance-related content.
What Constraints These Characteristics Impose on Workflow Orchestration
Data for this category is updated per production batch and each line change. Workflows must bind batch-dimensional variables to avoid cross-batch data confusion.
Multi-source data is scattered across production equipment, ERP/MES, laboratories, and other systems. Workflows must configure cross-node data retrieval steps to integrate heterogeneous information such as feeding records and test reports.
Formulas and labels are subject to archival requirements. Workflows must add an archival information verification node to ensure production parameters match archived content.
A single line change triggers data updates. Workflows must support triggering startup via line change events. Interception alerts must be triggered for abnormal scenarios such as formula mismatches or microbial overlimits.
Configuration Setup
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
variables | Bind batch number, raw material batch, archival number | This category's data is updated per batch. variables must be used to lock single-batch production data to avoid cross-batch confusion |
| Workflow trigger method | Triggered upon production batch completion or line change event | This category's data update frequency matches per batch and per line change, aligning with business data update rhythm |
| Timeout setting | 600 seconds | The single-batch data retrieval process for this category consistently completes within 600 seconds, preventing process blocking |
| Single search limit | Top 10 entries | The core data volume per batch for this category is limited. The top 10 entries cover all core production and test information |
| Exception interception rule | Trigger termination when the deviation between archived formula and actual feeding exceeds the measured calibration threshold | Formulas for this category must match archived content. Excessive deviations pose compliance risks |
nodeId | Configure a unique nodeId for each data retrieval node | Facilitates workflow debugging and abnormal node location, meeting process management requirements for multi-source data integration |
Three Common Errors
- Symptom: Chart tool outputs empty content, with no visualization results in the interface. Cause: Fields for test data and feeding records in the workflow are not correctly bound to the data source configuration of the chart tool, preventing the tool from obtaining valid data.
- Symptom: Workflow node runs code but shows no results, with logs indicating abnormal execution status. Cause: When deployed locally, runtime environment dependencies for workflow nodes are not correctly configured, or the
nodeIdis configured incorrectly, preventing the node from normally calling data interfaces. - Symptom: Workflow cannot call external interfaces after startup, with logs indicating API key verification failure. Cause: After starting via docker-compose, the container is not rebuilt after configuring the CHATAPIKEY environment variable, so the new configuration is not loaded into the runtime environment.
How to Verify Proper Configuration
- Manually trigger a line change event, check if the workflow starts as expected, confirm the trigger logic is active.
- Retrieve complete data for a single production batch, verify if the workflow pulls all required fields including weighing records and test reports, confirm the data integration logic is correct.
- Simulate an abnormal scenario where the formula does not match the archive, check if the workflow triggers interception alerts, confirm the abnormal verification rule is active.
- Run the chart tool node, check if corresponding visualization content is generated, confirm the data source configuration bound to the tool is correct.
The values provided are common starting points and should be measured against the reader's own samples.