What the Data for This Category Looks Like
The data for this category covers work safety-related operations from emergency management departments, industry regulatory authorities, production and business entity safety management departments, and park management committees. Daily documents include hazard inspection checklists, hazard governance ledgers, rectification notices, review records, and major hazard supervision and supervision orders. The structure is built around the full process of hazard identification, rectification tracking, review and archiving. Data comes from work safety supervision systems, enterprise hazard self-inspection systems, law enforcement inspection records, and accident statistics systems. It is updated daily. Core fields correspond to basic hazard information, rectification requirements, responsible entities, and review results.
What Constraints Do These Characteristics Impose on Workflow Orchestration
The data characteristics of this category impose multiple constraints on workflow orchestration. Multiple data sources require the workflow to configure multiple nodes that connect to different systems, to pull corresponding types of business documents separately. The daily update frequency requires the workflow to set up scheduled triggers or incremental update logic, to ensure the obtained policy and hazard information is up to date. Diverse document formats require the workflow to adapt to different types of document parsing, covering multiple document structures such as checklists, ledgers, and notices. Core business links take a long time. This requires the workflow to split steps such as inspection, rectification tracking, and review and archiving. It also requires setting branch judgment nodes to handle different rectification statuses. Additionally, verification links must be configured to ensure process compliance and avoid major risks.
How to Set the Configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
| Data Source Integration | Configure API nodes for each corresponding system separately by data source | Data comes from multiple work safety-related systems, requiring separate pulling of different types of business documents |
| Variable Storage | Configure variables to include business fields such as hazard ID and rectification status | Core business parameters must be passed during workflow execution to ensure data synchronization across nodes |
| Branch Judgment | Set multi-branch nodes based on rectification status | Different stages such as unrectified, in rectification, and completed must be distinguished to match business process logic |
| Context Length | First 1200 characters | Adapted to the single-paragraph content length of daily documents, calibrated through actual testing |
| Timeout Threshold | 600 seconds | Matches the average response time of pulling data from multiple systems, to avoid workflow interruption |
| Workflow Trigger | Scheduled daily trigger | Matches the daily data update frequency, ensuring obtained policy and hazard information is up to date |
Three Common Mistakes
- Issue: An error occurs when running a code node that calls
localStorage.getItem('userId'), with the promptlocalStorage is no. Cause: The workflow runs in a server-side environment, which does not support browser-side localStorage storage interfaces. Replace the call with passing user identification parameters viavariables. - Issue: After initiating a session request workflow via API, no thought process content is returned. Cause: The corresponding return setting was not enabled in the workflow configuration for FastGPT v4.17.0, or the API call parameters did not include the correct trigger identifier.
- Issue: Embedded image URLs in the workflow fail to display properly. Cause: No access permission verification node was configured for image resources, or the valid duration of the URL link was too short. Add permission configuration or generate a permanent access link.
How to Confirm the Configuration Is Complete
- Trigger the workflow once, check the log output of each node, and verify whether the business fields passed in
variablesmatch the input parameters. - Set different rectification statuses to trigger branches, and verify whether the branch judgment node correctly jumps to the corresponding link.
- Check the return logs of the data source node, confirm that the latest business data matching the daily update frequency has been pulled.
- Call the API to initiate a session, and verify whether the returned content includes Q&A results related to policy basis.
The values listed here 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.