What the data for this category looks like
The data for state-owned large bank yield rates and daily market reports comes from official portals of state-owned large banks and operational data publicly disclosed by the central bank’s Financial Market Department. Data is released at fixed daily times. Documents use structured table format with no additional unstructured content. Documents include fixed columns covering four core fields: product category, remaining term, revenue indicator value, and release date. All fields use standardized formats, with no randomly varying non-standard items.
What constraints do these characteristics impose on workflow orchestration?
The fixed data update schedule requires the workflow to have a scheduled trigger node. This ensures pull preparation finishes before official daily data release. The structured document format does not need complex unstructured parsing. Preset field mapping rules are needed to handle occasional column adjustments from official sources. The official nature of data sources requires the workflow to include a legitimacy check step. This prevents use of unauthorized data sources. Strict data timeliness demands setting a reasonable timeout threshold. This avoids workflow blocking from delays in official interfaces. The need to convert structured data to natural language broadcasts requires a standardized template node in the workflow. This ensures output content meets daily broadcast format requirements.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
trigger_type | Scheduled trigger, daily 17:30 | State-owned large banks complete data updates before 18:00 daily. Triggering 30 minutes early ensures access to the latest daily data |
data_source_verify | Verify official domain suffix in HTTP response headers | Ensures pulled data comes from official state-owned large bank domains, avoiding unauthorized data source risks |
field_mapping_mode | Fixed column mapping + dynamic field verification | Adapts to the characteristic that state-owned large bank daily report formats are stable but occasionally adjust column names, balancing efficiency and fault tolerance |
workflow_timeout | 600 seconds | Total time for data pulling, parsing, and conversion usually falls within a reasonable range, with sufficient buffer time reserved |
llm_template_type | Structured to natural language template | Converts standardized structured data into natural language content that meets daily broadcast requirements |
variable_reference_mode | Precise reference by field name | Matches fixed field names of structured data, avoiding matching errors during variable substitution |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. Testing on own samples is recommended before finalizing settings.
Three Common Mistakes
- Symptom: After deployment, restarting the workflow or leaving it idle for a period results in empty workflow and knowledge base lists. API calls return normal results. Cause: Persistent storage mounting is not configured. Workflow and knowledge base metadata stored in temporary storage is lost after container restart.
- Symptom: When using knowledge base variable references in a workflow, triggering the workflow fails to match the target knowledge base. Cause: The variable reference is not bound to workflow input parameters. This results in an empty variable value that cannot locate the target knowledge base.
- Symptom: Workflow execution returns empty results. Node logs show timeout errors. Cause: No reasonable timeout threshold is set. Delays from official data source interfaces exceed the preset time, leading to workflow termination.
How to Confirm Proper Configuration
- Manually trigger the configured workflow. Verify pulled data fields match preset mapping rules.
- View workflow execution logs. Confirm no error messages appear in data source verification, field mapping, and LLM conversion steps.
- Compare publicly released daily yield rate data from official sources. Confirm converted output content matches the original data.
- Wait for the scheduled trigger node to run at the preset time. Confirm the workflow triggers automatically and generates compliant results.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.