What this category of data looks like
Typically, data for this category comes from national public resource trading platforms, natural resource trading systems, property right exchange systems, and state-owned asset supervision systems. The update frequency is once per day. Daily generated documents include transfer announcements, trading notices, bid applications, margin vouchers, transaction confirmation letters, listing result announcements, property right transfer descriptions, among others. Data fields usually cover transaction object ownership information, valuation standards, margin amounts, transaction confirmation status, and other related content. Some documents include detailed descriptions of ownership restriction conditions.
What constraints do these characteristics impose on workflow orchestration
Multiple system data sources require the workflow to include cross-source pull nodes, to unify ledger data from different systems. The daily update frequency requires the workflow to trigger on a fixed schedule, to avoid repeated pulls or missing same-day data. Diverse document types require the workflow to set branch nodes, to run different processing logic based on document type. Validation of core fields such as ownership and margin requires the workflow to add targeted validation links, with strict failure handling processes for error outcomes. The most time-consuming links, such as ownership verification and material review, require the workflow to arrange node execution order reasonably, to avoid delays from resource preemption.
How to set configurations
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
| Trigger Timing | Daily trigger between 2:00 and 4:00 AM | Aligns with the daily update rhythm of this category's data, avoids peak business hours, and reduces system resource consumption |
Reference only; verify against the target FastGPT release and deployment documentation.
| Maximum Loop Node Execution Count | 1000 times | Matches the conventional processing scale of single-batch transaction objects, and adapts to the batch operation needs of this category |
| Node Timeout Threshold | 600 seconds | Covers the conventional time consumption of links such as ownership verification and transaction material review, and avoids normal execution being misjudged as a timeout |
| nodeId | Bind corresponding processing node IDs based on document type | This category includes multiple types of transaction documents; this configuration routes different documents to dedicated processing branches to improve execution efficiency | Reference only; verify against the target FastGPT release and deployment documentation.
Three common misconfigurations
- Symptom: When calling the workflow concurrently, some nodes return empty values, and Feishu webhook calls have no response. Cause: Concurrency current limiting rules are not configured, and request backlog under high concurrency leads to resource exhaustion or timeout.
- Symptom: After the loop node completes text splicing, the workflow cannot proceed to the next step and remains stuck at the current node. Cause: The spliced result is not correctly passed through
variables, so downstream nodes cannot obtain necessary input parameters. - Symptom: The workflow runs more times than the preset threshold and does not terminate. Cause: No run count verification logic is set, or the configured maximum run times do not match the actual business scale.
How to confirm the configuration is correct
- Check the interface addresses bound to
variablesand confirm they match the official system addresses of the category's data sources. - Simulate a workflow run for a single batch of transaction objects to verify that the output results of the loop node and text splicing node conform to the expected format.
- After configuring the concurrency current limiting rules, conduct a multi-concurrency call test to confirm there are no empty return values or timeout errors.
- Review the failure handling logic to confirm that the alert rules for abnormal node triggers match the disposal requirements after errors in this category's transactions.
Note: The configuration values provided here are common starting points. Adjust them based on your own specific samples and operational requirements.
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.