Reference only; verify against the target FastGPT release and deployment documentation.
What the data for this use case looks like
Teams source data for internal office and employee services in new energy development from farm maintenance log systems, employee attendance management modules, project procurement approval platforms, and photovoltaic/wind farm monitoring terminals. Data updates follow two rhythms: farm real-time monitoring data updates every 5 to 15 minutes. Approval documents and attendance records update per process node or daily. Document structures include fields such as farm ID, power generation capacity, maintenance time, approval number, employee ID, and job type. Supported units include kW, hours, yuan, and days. Some documents include binary device fault photos or monitoring screenshots.
What constraints do these characteristics impose on the workflow orchestration link?
Real-time farm monitoring data requires short workflow trigger intervals. Longer intervals delay responses to abnormal alerts. Multi-node approval processes need cross-link sharing of farm ID and approval status data, so teams must use a stable variable transfer mechanism. Binary monitoring photos and fault screenshots require workflows to support binary stream input and format conversion. Different business scenarios have large data field differences, so teams must configure parameter validation rules to block invalid data from entering workflows. Internal office data includes employee privacy and farm sensitive information, so teams must restrict access to workflow nodes.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Trigger Timing | Match farm data update interval (5 minutes/15 minutes) | Aligns with the update rhythm of new energy farm monitoring data, avoids unnecessary polling |
| Variable Transfer Rules | Enable variables global transfer for approval status and farm ID | Meets cross-link data sharing requirements for multi-node workflows |
| Node Timeout Setting | 600 seconds | Covers typical processing durations for wind power hoisting approval and farm patrol report submission |
| Binary Input Processing | Enable base64 to image conversion | Supports direct parsing of uploaded farm monitoring photos and device fault screenshots |
| Error Retry Strategy | Retry 3 times, 30 second interval | Addresses farm data pull failures caused by network fluctuations |
| Log Retention Period | 30 days | Meets internal audit and troubleshooting requirements |
Three Common Misconfigurations
- A
Dangerous behaviorerror appears during workflow debugging. The cause is that the input scope ofvariablesis not restricted, leading to sensitive fields such as farm maintenance passwords being passed to workflow nodes. - Workflows fail to display base64-format monitoring images. The cause is that binary input transcoding configuration is not enabled, and base64 strings are not mapped to image display nodes.
- Workflow execution timeout does not trigger a retry. The cause is that no error retry strategy is configured, only a single node timeout is set without enabling automatic retry.
How to Confirm Proper Configuration
- Manually trigger a workflow, pass test farm ID and approval data, and check if the node corresponding to
nodeIdproceeds normally. - Upload a test device fault photo, and confirm that the workflow can automatically convert the uploaded binary file into a viewable image.
- Simulate a network fluctuation, disconnect the test environment network, and check if the workflow automatically triggers retry and continues execution after network recovery.
- View workflow logs, confirm that variable transfer is normal, and no sensitive field leakage prompts are present.
The values provided are common starting points and should be measured 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.