What the Data for This Category Looks Like
Data for this category comes from enterprise existing IT system inventories, official domestic software and hardware catalogs, Xinchuang migration test environments, and publicly available vendor materials. Daily produced documents include software and hardware adaptation lists, compatibility test reports, migration implementation plans, and problem rectification ledgers. Data updates follow each Xinchuang migration project cycle, or once per quarter. Core fields include software and hardware model, version number, adaptation status, test conclusion, and migration risk level. There are no unified fixed units. Values adjust based on document type. Unlike office system process configuration, this category focuses on summary work related to software and hardware stack replacement and compatibility verification. It does not require configuration of general approval flow nodes.
What Constraints Do These Characteristics Impose on Workflow Orchestration
This workflow focuses on summary processes related to software and hardware stack replacement and compatibility verification. It does not require configuration of general approval flow nodes, unlike office system process configuration. Multi-source heterogeneous data sources require workflow configuration with cross-system pull nodes. These nodes adapt to data sources with different interface formats. Diverse document types require the workflow to support content parsing and summary for different formats, such as adaptation lists, test reports, and ledgers. Non-fixed update cycles require support for both on-demand triggering and scheduled scheduling modes. The lack of unified field units requires the workflow to add standardization processing links. These links unify data formats and field meanings. A verification node must be configured to block abnormal data that does not meet Xinchuang adaptation requirements. This prevents errors in subsequent processes.
How to Configure the Workflow
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Trigger Mode | On-demand triggering + scheduled triggering every 12 weeks | Matches the data update rhythm of this category per project or quarterly, and meets both temporary summary and regular archiving needs |
variables | {"dataSources": ["systemInventory", "chinaSoftCatalog"], "docCategories": ["adaptList", "compatibilityReport"]} | Adapts to business requirements for multi-source data pulling and multi-type document summary, and is supported in FastGPT v4.17.0 |
nodeId | 24-digit hexadecimal character ID, configured according to actual workflow nodes | Accurately calls specified data parsing and format conversion nodes, and avoids incorrect calls |
| Single Data Pull Volume | 1000 entries | Adapts to the single pull scale of Xinchuang adaptation data, and prevents interface overload |
| Data Validation Rules | Validate that software and hardware version numbers are not empty, and that the adaptation status field is an enumerated value of "adapted / pending rectification / incompatible" | Blocks abnormal data that does not meet Xinchuang adaptation requirements, and ensures the accuracy of summary results |
| Output Format | Use Markdown tables for adaptation lists, structured JSON for test reports | Matches subsequent usage scenarios of different documents, and improves the readability of summary content |
Three Common Misconfigurations
- An axioserror is returned when calling the workflow. The console displays
ECONNABORTEDor400 Bad Requesterrors. The cause is incorrect configuration of thevariablesparameter or non-compliantnodeIdformat. - Workflow call fails with an invalid parameter prompt. The return text includes
invalid nodeId. The cause is that the passednodeIddoes not use the 24-digit hexadecimal character format. - Summary results include invalid adaptation status data. Undefined adaptation status field values appear. The cause is that no data validation rules are configured, allowing abnormal data to enter the summary process.
How to Confirm Successful Configuration
- Verify that the
nodeIdis a 24-digit hexadecimal character. The corresponding ID can be obtained from the node details page of the FastGPT v4.17.0 workflow editing interface. - Trigger an on-demand run, and check that the workflow log successfully pulls content from the specified data source with no error prompts.
- Verify that the output format matches the requirements of the corresponding document type. For example, confirm that the adaptation list generates a standard Markdown table structure.
- Simulate passing test data with a missing version number, and confirm that the data validation rules block the abnormal entry.
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 2026-10-19.