What the data for this category looks like
Reference only; verify against the target FastGPT release and deployment documentation.
Document structure is divided into three categories: equipment ledger, patrol records, and internal office applications. The equipment ledger includes fields for equipment ID, model, maintenance cycle, and current operating status. Patrol records include fields for patrol time, location, abnormal items, abnormality level, and handler. Office applications include fields for applicant employee ID, application item, and approval status. Field units include tons, meters, minutes, shifts, and others.
What constraints these characteristics impose on workflow orchestration
Dispersed data sources and large gaps in update rhythms require flexible configuration of multi-source data pull nodes to support mixed calls of real-time parameters and offline forms.
The characteristic that patrol records are generated per shift requires workflow triggers to support per-shift time triggering, while retaining manual trigger options.
Enumerated abnormality level fields require workflow branch judgments to support enumerated value matching rules, to prevent incorrect branch execution caused by fuzzy matching.
High network fluctuation rates at mine sites require workflow configurations to include retry mechanisms and timeout parameters, to ensure stability of cross-system data pulls.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Trigger Mode | Per-shift node time trigger + manual trigger | Adapts to the update rhythm of patrol records generated per shift |
| Retry Count | 3 | Addresses network fluctuation scenarios at mine sites |
| Timeout Duration | 600 seconds | Matches the time required for cross-production and office system data pulls |
| Single Pull Limit | 100 entries | Meets the demand for single batch pulls of patrol records |
| Branch Judgment Rule | Match by abnormality level enumerated values | Corresponds to the field structure of patrol records |
variables definition | Bind equipment ID, patrol location | Adapts to the demand for multi-source data calls |
Three common errors
- Concurrent execution branches appear after workflow triggering. Multiple tool nodes start simultaneously under the same trigger condition, and logs show execution times for multiple nodes are completely identical. The cause is that a two-option branch judgment rule was not configured, and parallel execution mode was enabled directly.
- Resource conflicts occur when multiple workflows are called simultaneously. Some workflows return status code 503, and logs show resource preemption errors. The cause is that call identifiers for different workflows were not distinguished by
nodeId, causing the system to fail to allocate corresponding resources correctly. - Workflows cannot be configured for audio output. No audio settings entry appears in the workflow editing interface, and no audio output switch option is found in global configuration. The cause is that audio output permissions were not enabled for the workflow type. The corresponding function must be enabled in system settings.
How to confirm the configuration is complete
- Trigger a shift’s corresponding patrol data, check the workflow execution log, confirm that only preset branch nodes are executed, and no concurrent execution occurs.
- Call workflows identified by different
nodeIdvalues, check their respective operation logs, confirm that only configuration parameters for the corresponding workflow are loaded, and no resource conflict errors appear. - Confirm that the audio output switch is enabled in system global configuration, enter the workflow editing interface, and check whether audio settings options appear.
- Submit a material requisition application, check whether the workflow correctly pulls bound
variablesfield data and triggers the corresponding approval node.
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.