What the data for this category looks like
Data sources for internal office and employee services in the coal chemical industry include production distributed control systems (DCS), equipment ledger management systems, employee attendance systems, and office approval OA systems. Production real-time data updates every 10 to 30 seconds. Equipment ledger and attendance data updates daily in the early morning. Office approval data updates in real time with process node changes. Data is stored in structured table format. It includes fields such as equipment runtime duration, employee shift duration, approval application number, applicant employee ID, approval status, and other fields. All fields have clear associated business units. Reference only; verify against the target FastGPT release and deployment documentation.
What constraints these characteristics impose on workflow orchestration
The short update interval of production real-time data requires setting reasonable polling frequencies when workflow nodes bind real-time data sources. This prevents data lag from impacting business judgments. The structured field format requires workflow components to support precise matching of specified fields. It does not support unstructured free text extraction logic. Asynchronous office approval processes require workflow trigger conditions to bind node status changes. Scheduled triggers cannot adapt to the asynchronous advancement rhythm of these processes. Employee data is stored in separate databases by employee ID. Workflows must match corresponding employee variables using unique identifiers to avoid cross-employee data confusion. The daily update rhythm of equipment ledgers requires nodes associated with ledgers in workflows to set daily synchronization trigger timings. High-frequency pulling is unnecessary.
How to configure settings
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
variables | Bind structured data sources for DCS, attendance, and approval | Match the fields and update rhythms of coal chemical business data |
| Trigger condition | Trigger within 10 seconds after approval node completion | Adapt to the asynchronous advancement rhythm of office processes |
| Output file settings | Disable reference markers, retain plain text format | Avoid redundant reference information in generated files |
| Print log configuration | Enable node-level logs, retain for 7 days, maximum 1000 characters per log entry | Facilitate troubleshooting of printed code runtime information |
nodeId | Bind the node ID of the corresponding employee, match the employee ID field | Accurately obtain global variables for specified employees |
| Component parameter modification | Add equipment operating thresholds and shift duration verification fields as needed | Adapt to specific parameter requirements of coal chemical business |
Three common mistakes
- Generated office documents include reference markers such as [1][2]. This occurs when the output file reference switch configuration is not disabled.
- No print logs appear after workflow runs, and no output content exists in debug nodes. This occurs when node-level log configuration is not enabled, or log retention duration is too short.
- After clicking the button of the data panel component, the obtained global variable fields are empty. This occurs when the global variable scope of the corresponding node is not bound in
variables, or acquisition is triggered before variable assignment is completed.
How to confirm configuration is complete
- Launch a test approval process, check if the generated output file has no reference markers.
- Run the code component node, check if the node logs include preset printed information.
- Click the test button bound to global variables, check if the obtained fields include assigned business content.
- Modify component parameters, save and rerun the workflow, confirm parameters have taken effect.
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.