What this category of data looks like
Tourist attraction revenue yield data mainly comes from in-house ticketing systems, offline POS terminals, booking APIs of partner OTA platforms, and park passenger flow monitoring equipment. Real-time passenger flow data updates at minute-level intervals. Daily revenue reports complete full aggregation in the early morning of the next day. Data is output in structured JSON or CSV format. Core fields include unique attraction identifier, statistical date, on-site passenger count, ticket revenue, secondary consumption revenue, and average customer spending. Corresponding units are person, yuan, yuan, yuan, and yuan per person, respectively. This type of data can be used for supply chain finance related to scenic spots and revenue disclosure of financial products for financial institutions, and meets information reporting requirements of the financial industry.
What constraints do these characteristics impose on workflow orchestration
The multi-source data access feature of tourist attractions requires workflow configuration with multiple HTTP request nodes to connect different data sources, and adaptation to differentiated field structures returned by each interface. Minute-level real-time passenger flow data and daily aggregated revenue reports require separate scheduled trigger rules to avoid task scheduling conflicts. Average customer spending must be calculated as revenue divided by passenger count. An additional exception branch must be configured to handle scenarios where passenger count is 0. Data timeliness requirements in financial scenarios dictate that daily report broadcasts must be completed within 2 hours of the next early morning. A reasonable maximum runtime threshold must be set for the overall workflow, plus a retry mechanism configured for individual HTTP nodes to address interface fluctuations.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
Scheduled Trigger Rule | Real-time passenger flow task set to 0/1 * * * *, daily report task set to 0 0 1 * * * | Matches the data update frequency of scenic spots. Daily reports count natural day data, and 1 AM next day covers full data of the previous day |
HTTP Request Timeout | 30 seconds | Scenic spot data source interfaces are mostly internal or partner-stable interfaces. 30 seconds covers normal response durations and avoids long-term blocking of the workflow |
Field Aggregation Rule | Group secondary consumption items by attraction ID + statistical date | Scenic spot secondary consumption includes multiple items such as catering and cultural and creative merchandise, which must be merged into total revenue fields for revenue yield calculation |
Exception Branch Trigger Condition | Trigger an alert when the on-site passenger count field value is 0 | Division-by-zero errors occur when calculating average customer spending on days with no passenger flow, and exception scenarios must be intercepted in advance |
Workflow Maximum Runtime | 600 seconds | Total time for parallel requests across multiple nodes must be controlled within 10 minutes to meet timeliness requirements for daily report broadcasts |
Retry Count | 2 times | Addresses occasional temporary fluctuations in partner OTA interfaces, and avoids full workflow interruption caused by a single failed request |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by data format, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Workflow canvas drags with lag, nodes load slowly. Cause: No group management for workflow nodes, node count exceeds threshold and canvas folding function is not enabled.
- Phenomenon: No return results in chat page, execution in run preview page works normally. Cause: Workflow not configured as a publicly callable API interface, or corresponding workflow not bound in the chat module.
- Phenomenon: HTTP request node cannot carry files when sending form-data parameters. Cause: Correct file source type not selected in file parameter configuration, or no local test file uploaded for debugging.
How to Confirm Correct Configuration
- Check scheduled task trigger logs to confirm tasks execute automatically per preset time rules.
- Manually trigger the workflow, verify that core fields in returned results match original data from data sources.
- Simulate an exception scenario (e.g., on-site passenger count is 0) to confirm the workflow triggers the preset exception handling branch.
- Check the workflow runtime status panel to confirm all HTTP request node response status codes are within normal ranges.
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.