What This Category of Data Looks Like
Refining and petrochemical financial marketing content data comes from four main sources: manufacturing execution systems (MES) at refining enterprises, oil product inventory management systems, regional refined oil demand monitoring platforms, and supply chain financial customer inquiry ledgers from financial institutions. Data updates follow three frequency tiers: real-time for production conditions and instant customer inquiries, hourly for regional demand fluctuations, and daily for inventory checks and daily production output. Most of this data uses structured tables as the primary format, with fields including oil product model, daily output, remaining inventory, ex-factory unit price, and cooperating financial institution code. Corresponding units are model code, ton, cubic meter, yuan per ton, and institution code respectively.
What Constraints Do These Characteristics Impose on Workflow Orchestration
Real-time data requires workflows to support high-frequency triggering. Reasonable node execution intervals must be configured to avoid occupying interface resources of financial institutions. Structured data from multiple sources and with multiple fields requires parameter validation rules between workflow nodes to cover all required fields. This prevents null values from entering subsequent marketing content generation links for financial customers. Data with different update frequencies must connect to different trigger nodes. For example, daily inventory data triggers batch marketing material generation for supply chain financial customers. Real-time inquiry data triggers personalized supporting financial content pushes. Refining marketing content must match professional terminology used by financial institutions. Workflows must include built-in mapping rules for corresponding fields to ensure output content complies with compliance requirements of financial institutions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
workflow_timeout | 300 seconds | Refining financial marketing workflows associate with multiple system data. An overly short timeout interrupts complex query tasks |
parallel_node_count | 2–4 | Most internal systems of financial institutions have interface rate limits. Excessive concurrency triggers call failures |
env_variable_access_enabled | Enabled | Environment variables configured during deployment can directly call sensitive information. No hardcoding required in workflows |
sql_query_timeout | 60 seconds | Multi-table join queries for refining inventory and production data take longer to execute once |
loop_step_interval | 10 seconds | Batch generating marketing materials for multiple oil products avoids frequent content generation interface calls that trigger restrictions |
tool_param_optional_switch | Enabled | Custom marketing tools must support optional parameters. This adapts to marketing scenarios of different financial institutions |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Symptom: Workflows fail to read environment variables configured during deployment, returning null values. Cause: The
env_variable_access_enabledconfiguration item is not enabled, or environment variable naming does not follow the uppercase underscore specification. - Symptom: In open source version 4.8.17, the output result is null after executing the subscript increment operation in the loop body. Cause: Loop node variable initialization does not set an initial value of 0. Auto-increment triggers a type mismatch error.
- Symptom: Database connection workflows return empty results with no clear error message. Cause: The SQL statement does not include filtering conditions for oil product classification or cooperating financial institution code exclusive to the refining business, or the database connection string does not configure the correct business schema.
How to Confirm Proper Configuration
- Enter simulated refining financial marketing data in the workflow test panel. Check whether parameter transfer between each node is normal.
- Trigger the workflow once. Check whether there is a prompt for successful environment variable loading in logs to confirm normal variable reading.
- Run the node containing the SQL query. Verify whether returned result fields include information required for refining business such as oil product model and remaining inventory.
- Configure a loop node and execute a batch task. Check whether the loop subscript increments as expected with no null value output.
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.