FastGPT v4.17.0
What Data for This Category Looks Like
Data for this category comes from food safety sampling monitoring systems, the State Administration for Market Regulation sampling result query system, testing institution LIMS, and enterprise account books. The update frequency is monthly. Daily generated documents include sampling plans, sampling sheets, inspection reports, unqualified food verification and disposal reports, and risk control announcements. The document structure is fixed, including standardized fields such as sampling location, sample information, testing items, judgment results, and disposal processes. There are no additional custom non-standard fields.
What Constraints Do These Characteristics Impose on Workflow Orchestration
Workflows with multiple data sources must configure cross-data source variable call capabilities to uniformly pull business data from different sources such as sampling plans and inspection reports. Monthly updated data sources require workflows to set fixed-cycle timed trigger nodes to ensure data timeliness. Standardized document structures require workflows to configure field verification rules between nodes to avoid missing fields or format errors in documents such as sampling sheets and inspection reports. Core review and disposal links require workflows to support node context isolation to prevent data confusion between different sampling tasks and compromise result accuracy.
Configuration Settings
| Configuration Item | Suggested Setting | Basis for This Setting |
|---|---|---|
| Variable Reference | Bind the two knowledge bases of sampling plan and inspection report | Match the multi-data source business data source of this category |
| Node Context | Use only current node context | Avoid mixing global context with historical data from other sampling tasks |
| Timed Trigger | Execute at 0:00 on the 1st of each month | Adapt to the business rhythm of monthly updated data sources |
| File Upload Limit | Maximum 1000 MB per file, up to 5 files per upload | Adapt to the conventional size of documents such as inspection reports and sampling sheets |
| API Call Parameters | Carry nodeId to identify the current workflow instance | Facilitate troubleshooting of abnormal problems in file upload and interface calls |
| Retry Mechanism | Retry 3 times after failure, interval 600 seconds | Respond to temporary system interface fluctuations or network abnormalities |
Three Common Mistakes
- When uploading inspection report files via workflow, the error "Failed to create post presigned url" is returned. The cause is that the object storage signature parameters associated with the workflow are not configured, or the uploaded file size exceeds the preset limit.
- Knowledge base variable references fail to obtain expected sampling data. The cause is that the corresponding sampling knowledge base is not bound to the
variablesconfiguration item of the workflow, or the variable name does not match the document field. - Image parameters cannot be parsed correctly when calling the workflow API. The cause is that the file stream or pre-signed URL parameter is not correctly carried in the API request, and the parameter format required by the node is not matched.
How to Confirm Proper Configuration
- Check the
variablesconfiguration item of the workflow to confirm that all required sampling-related knowledge bases are bound. - Trigger a test run to check whether the file upload link returns a normal pre-signed URL without error messages.
- Check the settings of each node to confirm that the option to use only the current node context is enabled.
- Call the workflow API to verify that the image parameter can be parsed correctly and trigger subsequent nodes.
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.