What Data for This Category Looks Like
Business data for pharmaceutical distribution primarily comes from internal enterprise ERP systems, drug regulatory platform APIs, cold chain monitoring devices, and medical insurance settlement systems. Data update frequencies fall into three categories: real-time (such as cold chain temperature and humidity data, updated every 5 minutes), daily (such as inventory ledgers), and periodic (such as business qualification documents). Document structures include fields such as drug code, batch number, storage temperature threshold, outbound time, and consignee qualification number. Most field units are degrees Celsius, cases, and boxes. Batch number uses a string data type.
Constraints Imposed by These Characteristics on Workflow Orchestration
Multi-source heterogeneous data sources require workflows to connect multiple data acquisition nodes, with connections to ERP, cold chain monitoring, and qualification APIs respectively. The strong correlation between drug code and batch number requires that all corresponding fields be fully retained when passing variables between workflow nodes, to avoid data misalignment. Frequently updated temperature and humidity data require workflow node timeout settings to adapt to short cycles, preventing process interruptions caused by data delays. Compliance requirements for pharmaceutical distribution require that workflows include a qualification verification branch, to automatically intercept consignees without valid qualifications.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Variable Binding | Bind drug code, batch number, temperature and humidity threshold, and consignee qualification fields | Match core fields of pharmaceutical distribution data, ensuring complete variables transfer between workflow nodes |
| Node Timeout Settings | 30-60 seconds | Adapt to the collection frequency of cold chain temperature and humidity data, preventing workflow interruptions caused by data delays |
| Node ID Configuration | Bind a unique nodeId to each business node | Facilitate workflow debugging and branch jumping, enabling quick location of abnormal nodes |
| Branch Trigger Conditions | Jump based on consignee qualification verification results | Comply with compliance requirements for pharmaceutical distribution, automatically filtering unqualified consignees |
| Workflow Export Settings | Check "Include node configuration and variable mapping" | Retain full process configuration for subsequent compliance audits and adjustments |
| File Upload Limit | 1000 MB | Adapt to the needs of batch document and monitoring video uploads for pharmaceutical distribution |
Three Common Misconfigurations
- When a workflow node receives an uploaded file, it returns an "unsupported input format" error. The cause is failure to convert the binary stream to the
variablesformat recognizable by the workflow. - After the Google Search node returns
array<object>type results, downstream nodes cannot read the content normally. The cause is failure to configure a format conversion node to convert the structured array to plain text. - Variable configuration is lost when importing an exported workflow file. The cause is failure to select the option to include variable mapping during export.
How to Verify Correct Configuration
- After triggering the workflow, check the node log to confirm all bound
variablesfields are normally transferred with no missing data. - Simulate an abnormal scenario, such as a consignee with unqualified qualifications, to verify whether the workflow jumps according to the preset branch.
- Export the workflow configuration file, import it to the test environment, and confirm all nodes and variable mappings are fully retained.
- After running the workflow, check whether the output result matches the compliance requirements of pharmaceutical distribution business.
The values provided are common starting points, and should be evaluated 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.