What data in this category looks like
Data in this category mainly comes from local public data opening platforms, integrated big data platforms, departmental business databases, and electronic certificate databases. The update frequency is once per month. Documents generated regularly include public data resource catalogs, data opening lists, data item descriptions, desensitization rules, interface documents, and update frequency descriptions. Data fields include data item identifiers, opening subjects, opening conditions, desensitization processing methods, calling interface addresses, update cycles, and other items, all in structured format.
What constraints do these characteristics impose on workflow orchestration
The monthly update frequency requires the workflow to configure fixed-cycle trigger nodes to avoid delays and omissions from manual updates. Multi-source data access requires the workflow to include a field alignment step to unify data formats returned by different databases and platforms. There are many structured documents containing content such as desensitization rules and interface parameters, so the workflow needs to add a field verification node to ensure consistency between catalog data and actual open data. Data opening involves security requirements, so the workflow needs to embed a desensitization rule verification node to prevent sensitive data leaks. At the same time, changes to interface documents need to be synchronized to the catalog, so the workflow needs to configure an interface status monitoring node to promptly detect issues with unavailable open interfaces.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Scheduled trigger cycle | 1st day of each month, 09:00 | Matches the monthly data update frequency to ensure synchronization between the catalog and actual data |
| Loop traversal scope | Top 1000 data items | Adapts to single-batch data processing volume to avoid workflow timeouts |
variables reference scope | Global context | Meets the requirement for cross-node calling of data item parameters |
nodeId bound node | Data verification node | Accurately associates the execution status of field verification |
| Interface timeout period | 30 seconds | Adapts to the conventional response duration of public data interfaces to reduce call failures |
| Desensitization rule verification threshold | Calibrated based on actual testing | Matches the desensitization requirements of different data items to avoid false positives |
Three Common Configuration Errors
- Loop body nodes cannot access externally defined variables: The runtime returns that the specified field is empty. The cause is that external variables are not included in the
variablesreference scope of the loop body in the workflow configuration. - Code execution node input containing historical records fails verification: A parameter verification error prompt pops up on the interface. The cause is that input parameter filtering rules are not configured correctly, causing illegal content to trigger verification interception.
- Workflow nodes cannot pass global variables: The target node does not load the specified variable after running. The cause is that the associated node of the global variable is not bound via
nodeId, causing the variable scope to not cover the target node.
How to Verify Correct Configuration
- Trigger a test run to check whether the scheduled trigger cycle matches the preset monthly update time.
- Review the execution logs of the loop body node to confirm that external variables are correctly loaded and participate in data processing.
- Submit a code execution test containing historical records to confirm that the verification rules do not intercept legitimate input content.
- View the associated logs of the
nodeIdbound node to confirm that global variables have been synchronized to the target 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.