What This Category of Data Looks Like
Data sources include government websites, document management systems, government information disclosure directories, policy document repositories, and press conference materials. The update frequency is daily. Daily documents include policy documents, policy interpretation drafts, disclosure directories, information release approval forms, press releases, and website column update records. Fields cover document number, publishing entity, disclosure attribute, confidentiality review status, publishing channel, update time, and more. Common units are pieces, entries, and articles.
Constraints Imposed on Workflow Orchestration
The daily update frequency requires workflows to support scheduled triggering to avoid repetitive manual operations. Multi-source data requires configuring cross-system pull nodes to adapt to inputs in different formats from document management systems, websites, and other platforms. Diverse document types require setting up conditional branch nodes to handle fields such as disclosure attribute and confidentiality review status, to support different processing logic. Multi-channel synchronization needs require workflows to support multiple output nodes, covering publishing channels like website columns and new media accounts. It is also necessary to verify field completeness to prevent cases where content that should be disclosed is not published, or confidential information is accidentally disclosed.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Triggering Method | Trigger on a daily schedule, set the trigger time to 9:00 daily | Matches the daily data update frequency to ensure timely summary of that day's data |
| Variable Definition | Configure variables for disclosure attribute, confidentiality review status, and publishing channel | Binds core business fields to meet ledger statistics requirements |
| Conditional Branch | Process branches based on confidentiality review status | Differentiates between confidential and non-confidential documents to avoid accidental disclosure of sensitive information |
| Timeout Setting | Set single-node timeout to 600 seconds | Adapts to network latency during cross-system data pulls to prevent task interruptions |
| Output Nodes | Configure 3–5 publishing channel outputs | Covers common government disclosure channels to meet multi-platform synchronization needs |
| Error Handling | Bind nodeId to collect logs for abnormal nodes | Quickly identifies where workflow execution failed |
Three Common Misconfigurations
- After configuring a web search node in the workflow, the AI conversation skips the node directly. The symptom is that logs show no HTTP request node was triggered, and the returned results contain no external data. The cause is that the search keyword in
variableswas not correctly bound to the input parameters of the HTTP request, so the node was not activated. - After running a multi-node workflow, ledger fields are missing. The symptom is that fields such as disclosure attribute and publishing channel are empty in the generated report. The cause is that field completion steps were not configured after the conditional branch nodes, and basic ledger fields were not synchronized for the confidential document branch.
- After deploying multiple nodes, the workflow cannot synchronize data. The symptom is that file lists pulled by different node instances are inconsistent. The cause is that no shared storage mount directory was configured, so data across nodes was not synchronized.
How to Verify a Successful Configuration
- Use the FastGPT v4.17.0 workflow editor to manually trigger the workflow once, then check the execution logs for each node to confirm that scheduled triggering, conditional branching, HTTP requests, and other nodes started normally.
- Randomly select a ledger generated that day to verify field completeness, and confirm that all core business fields have been correctly populated.
- Simulate two scenarios: confidential documents and non-confidential documents, to verify that the conditional branch node processing logic meets expectations.
- Check the shared storage mount status to confirm that multiple node instances can access the same data directory, preventing data inconsistency.
The values provided here 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.