What Data for This Category Looks Like
Data for the plastics and rubber category comes primarily from four sources: upstream petrochemical plant ex-factory quotation systems, domestic synthetic resin industry association supply and demand ledgers, downstream automotive and packaging manufacturing procurement order databases, and customs import and export clearance data. Data update cadences are layered: ex-factory quotes update daily, industry monthly reports update every ten days, and customs clearance data syncs weekly. Single data documents mostly use structured table formats, with fixed fields including grade, density (g/cm³), melt index (g/10min), tensile strength (MPa), tax-included ex-factory price (yuan/ton), inventory balance (tons), and delivery lead time (days). Some non-standard grades include additional physical property parameter notes.
Constraints on Workflow Orchestration
The layered update cadence, diverse fields, and non-standard parameters of plastics and rubber category data create multiple constraints for workflow orchestration. Differences in multi-source data update rhythms require workflows to include multiple scheduled trigger nodes, connecting separately to daily quotation APIs and weekly customs data APIs. Unit inconsistencies across structured fields require embedding custom code nodes in workflows to standardize units. Non-standard grades with additional physical property parameters require conditional branch nodes, which call matching extraction rules based on grade identifiers. Marketing content must link real-time quotation and inventory data, requiring workflows to connect a continuous chain of data pulling, content generation, and compliance checks. This avoids content deviations caused by delayed data.
How to Set Configurations
| Config Item | Recommended Approach | Rationale |
|---|---|---|
WORKFLOW_TRIGGER_AUTH | Bind the business system OAuth2 callback address, configure JWT token verification rules | Associate business system user identities with the FastGPT platform, ensure the legitimacy of trigger requests |
TOOL_POST_PROCESS_SCRIPT | Write Python code, use regular expressions to extract price strings in the format \d+ yuan/ton | Process unstructured results returned by tool calls, resolve unstable result issues |
ENABLE_WORKFLOW_HISTORY | Enable the workflow history recording switch, configure retention of the last 30 days of execution logs | Troubleshoot workflow execution anomalies, use historical records to optimize process configurations |
HTTP_UPLOAD_FILE_MAX_SIZE | Set to 1000 MB | Meet the upload requirements of plastics and rubber marketing materials such as material test reports and product photos |
HTTP_REQUEST_TIMEOUT | Set to 600 seconds | Adapt to API response delays when pulling multi-source chemical data, avoid workflow interruptions due to timeouts |
FIELD_UNIT_CONVERT_RULE | Configure a unit mapping table for density and melt index, standardize to g/cm³ and g/10min | Resolve unit inconsistencies across supplier data, ensure parameter accuracy for content generation |
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. Analyze specific cases individually, and run tests on your own samples before finalizing configurations.
Three Common Configuration Mistakes
- Phenomenon: Tool call nodes return results with redundant interface log information, which cannot be directly used to generate marketing content. Cause: The
TOOL_POST_PROCESS_SCRIPTcustom extraction logic is not configured, and raw API return data is used directly. - Phenomenon: The workflow optimization page fails to load historical execution records, making it impossible to troubleshoot process freezes or abnormal nodes. Cause: The
ENABLE_WORKFLOW_HISTORYconfiguration item is not enabled, and the system does not retain workflow execution logs. - Phenomenon: The system returns a 413 Request Entity Too Large error when uploading plastics and rubber material photos via the HTTP interface. Cause: The
HTTP_UPLOAD_FILE_MAX_SIZEconfiguration is not adjusted, and the default threshold is smaller than the actual size of marketing materials.
How to Confirm Configurations Are Set Correctly
- Trigger the workflow once. Check if business system users can call the workflow normally, and verify that authentication logs record correct user identifiers.
- Run the tool call node. Check if the custom script successfully extracts price data in the target format, confirming that post-processing logic works.
- Navigate to the workflow history page. Confirm that recent execution records load properly, and check the time taken and return results for each node.
- Upload a marketing material file larger than the current system's default upload threshold. Confirm that the system's prompt matches the configured
HTTP_UPLOAD_FILE_MAX_SIZEvalue.
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.