Reference only; verify against the target FastGPT release and deployment documentation.
What Data for This Category Looks Like
Document drafting data for construction machinery comes from internal enterprise MES production systems, equipment operation ledgers, and procurement contract libraries. The platform syncs device operation data every 15 minutes. It updates maintenance records immediately upon job completion. It stores procurement documents on the same day after approval through the approval workflow.
The document structure includes fields such as device model, unique serial number, cumulative operating hours, maintenance cycle, supporting spare parts list, and contract clause snippets. Units include hours, units, yuan, millimeters, and other standard units. Some fields contain maintenance log content in nested JSON format.
What Constraints Do These Characteristics Impose on Workflow Orchestration
Real-time synced device data means workflow trigger intervals must align with the 15-minute update cadence. Long fixed intervals may cause data lag.
Unique serial numbers, operating hours and other strongly correlated fields require variables bindings to exactly match ledger field names. Incorrect bindings will cause variable reference failures.
Nested maintenance logs and spare parts list data require workflows to support JSON structure parsing, or use supporting processing nodes to adapt formats.
In high-concurrency scenarios involving multiple devices per single call, limit parallel request volume to avoid abnormal return results.
How to Set Configurations
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
variables | Bind ledger fields such as device serial number, cumulative operating hours | Construction machinery ledger fields are unique and strongly correlated with document content. Precise binding avoids reference failures |
nodeId | Specify as the ID of the DB query node | Real-time device data must be pulled from the operation database, and downstream processing logic is associated via the node ID |
| Form default value | example value | The form must automatically carry the currently processed device ID, matching the device field in variables |
| DB node result processing | Calibrate based on actual measurements | Construction machinery operation data has a nested JSON structure, requiring adaptation to field hierarchy |
| Loop node concurrency limit | First 2 devices | High-concurrency single calls involve large volumes of device data. Limiting parallel volume avoids empty return results |
| Feishu Webhook trigger condition | Trigger after document generation completes | Notifications must be pushed after the final document is generated, to avoid triggering during intermediate steps |
Three Common Misconfigurations
- Phenomenon: The default value of the form input node fails to retrieve data, and the interface displays empty. Cause: The default value configured for the form is not bound to the device-specific field in
variables, leading to incorrect variable reference paths. - Phenomenon: Empty results are returned when calling MCP nodes in high concurrency, and logs show request timeouts. Cause: The parallel device count for loop nodes is not limited. Too much construction machinery data carried in a single request causes resource overload.
- Phenomenon: Feishu Webhook pushes empty content, and cannot carry the spliced results of loop nodes. Cause: No variable verification node is added after the text splicing step. The cyclically output array is not correctly expanded into a string.
How to Confirm Configuration Is Successful
- Manually trigger the workflow, bind the
variablesparameter of a test device, and check if the default value of the form input node automatically loads the corresponding field. - View the workflow execution log, confirm that the JSON data returned by the DB node includes the core fields of the construction machinery ledger.
- Simulate a single request, check if the document generation result includes preset core information such as device model and operating hours.
- Trigger a multi-device parallel request, confirm that the MCP node returns no empty results.
The values provided 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.