What the Data for This Category Looks Like
Plastics and rubber market and yield data originates from domestic commodity futures exchanges and regional spot trading platforms. Update frequency differs between futures and spot products. Futures contracts push real-time quotes every 5 minutes during trading days. Spot quotes update daily closing prices after 16:00 each day. Data is delivered in standardized JSON format, including contract ID, full product name, base quote, settlement price, daily price change, and total open interest. All units are yuan/ton. Some spot data includes additional fields such as delivery grade and regional warehouse quotes.
Constraints Imposed on Workflow Orchestration
The data update rhythm and field characteristics of plastics and rubber data impose three types of constraints on workflow orchestration. First, futures quotes update every 5 minutes. Trigger nodes must be configured for minute-level polling or event callbacks. Daily scheduled tasks must not be used, as they will cause data lag. Second, field names vary across data sources. For example, futures platforms use the "settlement price" field, while spot platforms use "daily quote". Precise jsonPath rules must be configured in the response extraction step of HTTP request nodes to avoid failed field extraction. Third, the data includes detailed fields such as delivery grade and regional warehouse information. Conditional branch nodes must be added to filter target data for specified product categories, ensuring accurate daily report content.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
trigger_cron | 0 16 * * 1-5 | Matches the daily 16:00 spot quote update window, prevents triggering early to retrieve unupdated data |
http_request_timeout | 30 seconds | Most plastics and rubber data sources are commodity platforms, with interface response delays higher than general interfaces. 30 seconds covers most normal request durations |
json_path_extract_rule | $..spot_price or $..settlement_price | Differentiates field paths for spot and futures data sources, adapts to differences in field naming across sources |
global_var_update_strategy | query_param:custId | Supports passing tenant identifiers via URL query parameters, meets parameter transfer requirements for multi-tenant scenarios |
workflow_export_enabled | true | Allows export of workflow configurations, facilitates backup and cross-environment deployment |
response_filter_condition | delivery_level == "standard" | Filters data with non-standard delivery grades, ensures daily reports only include compliant product quote data |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. Testing on local samples is recommended prior to finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: HTTP request nodes return empty results, or extracted variable values do not match expectations. Cause: Precise jsonPath rules are not configured for differences in field naming across plastics and rubber data sources. Generic field paths are used incorrectly, leading to matching failures.
- Phenomenon: Workflows do not retrieve the latest data after triggering, or trigger times do not match data update rhythms. Cause: Scheduled trigger cron expressions are configured incorrectly. They do not match the daily update window for plastics and rubber spot data, or do not distinguish between trading days and holidays.
- Phenomenon: Exported workflow configurations fail to run correctly in other environments. Cause: Environment-specific parameters in global variables are not replaced. For example, the test environment base_url is not replaced with the production environment interface address, leading to requests pointing to incorrect data sources.
How to Confirm Proper Configuration
- Manually trigger the workflow once, check the HTTP request node's response logs to confirm returned fields match expected plastics and rubber data.
- Review global variable update records to confirm tenant identifiers passed via query parameters are correctly loaded into the workflow.
- Check workflow run logs to confirm trigger times match data update rhythms, with no timeout or field extraction failure errors.
- Export the workflow configuration file, verify that parameters such as interface addresses and field matching rules match the current environment's configuration.
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.