What data in this category looks like
Data for this category mainly comes from local public data opening platforms, integrated big data platforms, departmental business databases, and electronic certificate repositories. Daily produced documents include public data resource catalogs, data opening lists, data item descriptions, desensitization rules, interface documents, and update frequency descriptions. Data fields cover data item name, opening subject, sharing authorization conditions, desensitization processing standards, interface call addresses, update cycle, and other items. The data update frequency is once per month. A single update covers newly added or adjusted public data asset entries for the current period.
What constraints do these characteristics impose on workflow orchestration
The monthly update rhythm of this category of data requires the workflow to be configured with a scheduled trigger node. This ensures the content of the policy basis Q&A is synchronized with the latest catalog. The heterogeneous formats of multi-source data require the workflow to set a data cleaning node. This unifies field structures to adapt to Q&A calls. Data fields include sensitive content such as authorization conditions and desensitization standards. The workflow must define permission verification rule variables via variables to avoid direct exposure of sensitive information. Dynamic changes to interface documents require the workflow to be associated with real-time indexes of the data catalog. This ensures the interface addresses returned by Q&A match the current opening list.
How to Set Configurations
| Config Item | Recommended Setting | Rationale |
|---|---|---|
| Scheduled Trigger Cycle | 30 days | Matches the monthly update frequency of this category of data to ensure Q&A content is synchronized with the latest catalog |
variables Permission Verification Rules | Grouped by department authorization tags | Adapts to the hierarchical opening requirements of public data to avoid unauthorized access to sensitive data |
| Workflow Node Trigger Timing | Automatically triggered after catalog update completes | Ensures Q&A call content matches the current updated catalog |
| Single Retrieval Limit | Top 8 data entries | Balances Q&A context length and information coverage |
| Timeout Threshold | 600 seconds | Adapts to the overall time required for multi-source data pulling and cleaning |
| Document Chunk Length | 800–1200 characters | Adapts to the average length of single entries in public data catalogs to avoid losing key information during chunking |
Three Common Misconfigurations
- Phenomenon: The frontend interface lags after selecting
variablesvariable values, with obvious delays when dragging nodes. Normalcy resumes after deleting the variable. Cause: The variable definition includes too many non-core fields, leading to excessive frontend rendering load. - Phenomenon: Policy documents uploaded in the workflow cannot be read normally, and the file storage location cannot be located. Cause: No file storage path mapping node is configured, and no file index viewing link is added to the workflow.
- Phenomenon: The 16-document comparison helper node does not generate JSON source code, and configuration parameters cannot be reused directly. Cause: The node's source code export switch is not enabled, or the data source path of the document library is not correctly associated.
How to Confirm Proper Configuration
- In FastGPT v4.17.0, view the scheduled trigger configuration of the workflow to confirm that the cycle matches the data update frequency.
- Test calling the
variablesvariable to confirm that the returned fields only include core content required for policy Q&A, with no sensitive information leakage. - Upload a test public data catalog document to confirm that the workflow can read it normally and trigger subsequent cleaning and index nodes.
- Run a complete workflow to confirm that there are no timeout errors, and the output content matches the entries of the current test catalog.
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.