What the data for this category looks like
Data related to marketing and customer acquisition activities carried out by financial institutions in partnership with railway and highway operators is primarily sourced from ticketing management systems, line operation and maintenance platforms, passenger flow statistics terminals, and marketing outreach backends. Data is divided into two categories: static and dynamic.
Static data includes line ID, origin and destination stations, operating mileage, vehicle type parameters, and similar information, with an update frequency of quarterly or annually. Dynamic data includes real-time passenger flow, ticket sales volume, outreach channel effectiveness, and similar information, with an update frequency of minute-level or hourly.
Document structures primarily use structured tables, with core fields including trip_id (string type, unique identifier for train/route trips), daily_passenger_volume (unit: passenger trips), promotion_channel (enumerated type, such as "in-station advertisement", "SMS push"), and update_time (ISO 8601 formatted timestamp).
What constraints do these characteristics impose on the "workflow orchestration" link
The differing update rhythms of static and dynamic data require financial institutions to configure differentiated synchronization trigger rules for multi-source data in their workflows, to avoid wasting computing resources from repeated pulling of static data.
Inconsistent field units across multiple data sources require workflows to configure field mapping and unit conversion rules, to ensure consistent data formats for subsequent text processing and question answering generation steps.
Marketing outreach records are strongly bound to specific trips or routes, requiring workflows to set trip_id as the association key to achieve accurate aggregation of multi-source data, and provide support for precise marketing activities.
Additionally, the real-time requirements of dynamic data require configuring reasonable execution timeout thresholds in the workflow, to avoid process blocking caused by cross-system data pulling, which would affect the timeliness of marketing activities.
How to Configure the Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
data_source_sync_interval | Dynamic data sources set to 5 minutes, static data sources set to 1 day | Matches the minute-level update rhythm of dynamic passenger flow and ticket data, and aligns with the quarterly/annual update frequency of static line data |
field_unify_rule | Unify to international standard units, such as converting "hourly passenger flow" to "passenger trips per hour" | Resolves unit discrepancies across multiple data sources, ensuring consistent data formats for downstream processing links |
associate_key_field | Fixed use of trip_id | Serves as the unique association identifier for multi-source data, enabling precise binding of trips/routes and marketing data |
workflow_max_execution_time | 300 seconds | Covers the average time required to pull railway operation data across systems, preventing mid-process timeout interruptions |
external_app_log_enable | Enabled | Fully records the call process and return content of external marketing plugins to facilitate troubleshooting |
legacy_node_compatibility | Enabled to match the legacy workflow version | Retains the operational capability of legacy text processing nodes after upgrades, avoiding impact on historical workflows |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Symptom: After calling an external marketing outreach plugin, no plugin return conversation content is recorded in the workflow log. Cause: The
external_app_log_enableconfiguration item is not enabled, causing the system to fail to capture plugin call logs. - Symptom: Text processing nodes in legacy workflows fail to run normally after an upgrade, and the interface displays "node configuration invalid". Cause: The
legacy_node_compatibilityconfiguration was not enabled before the upgrade, causing legacy nodes to be removed by the system. - Symptom: An "invalid unit" error occurs during workflow execution, and the process terminates. Cause: No
field_unify_rulerules are configured, and non-standard units from raw data are used directly, causing downstream question answering generation links to fail to recognize the data format.
How to Confirm the Configuration is Complete
- Manually trigger a workflow run, verify the field mapping results for each data source, and confirm that field units comply with preset unified rules.
- Call an external associated plugin, check whether the workflow log fully records the plugin's input and output content and execution status.
- Generate a workflow sharing link, test whether the function of passing global variables via URL parameters works normally.
- Simulate a single workflow execution, confirm that no timeout errors are triggered, and that the execution duration meets preset requirements.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.