What the Data for This Category Looks Like
Industrial metal market and yield data originates from authoritative commodity pricing sources. Update frequency differs between trading and non-trading hours: during daytime continuous trading sessions, latest quotes update every 10 to 15 minutes. After-hours settlement prices update once per day. Auxiliary data such as inventory and open interest updates weekly. Each daily report document includes structured fields covering contract identifier, product name, quote time, benchmark price, daily price change, total open interest, delivery grade, origin, and more. Most units use yuan per ton or kilogram-based pricing measures; some overseas contracts use US dollars. Data formats are primarily structured JSON or standardized CSV, to support easy automated parsing.
Constraints on Workflow Orchestration
Time-staggered data updates require workflow trigger cycles to align with trading hours. This avoids running invalid tasks outside trading hours and reduces resource consumption. Structured data with multiple contract classifications requires workflows to support dynamic binding of matching knowledge base documents by contract code. This prevents cross-category data confusion. Frequently updated market data requires setting reasonable timeout thresholds for workflow node parsing and export steps. This stops execution interruptions caused by large data volumes. Weekly updated auxiliary data must be combined with daily market data across cycles in workflows. This increases the complexity of data linkage between nodes.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
triggerCron | */15 * 9-15 * * 1-5 | Aligns with the market quote update frequency during industrial metal daytime trading hours, prevents invalid task execution outside trading hours |
knowledgeBaseDynamicId | ["SHFE_CU", "LME_CU", "SHFE_AL"] | Binds corresponding knowledge bases grouped by industrial metal contract codes, enables dynamic matching of target category market quote documents |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Industrial metal historical market documents include multi-contract historical data, which takes longer to parse than the default threshold supports |
recallThreshold | 0.75-0.85 | Industrial metal field naming has high standardization; appropriately raising the threshold filters irrelevant recall results and improves response accuracy |
workflowMigrateVersion | v4.9+ | Dynamic variable transfer logic in workflows prior to version 4.8 has compatibility issues, upgrade to this version to complete migration |
exportFileFormat | docx | Meets office scenario export requirements for industrial metal yield daily reports, supports multi-field layout |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and testing on local samples is recommended before finalizing settings.
Three Common Mistakes
- A workflow’s
knowledgeSearchnode returns no referenced documents, with the interface displaying "No matching documents found". This occurs when contract codes are not bound as knowledge base classification tags to corresponding market quote documents, leading to a mismatch between the dynamic value transfer search scope and target data. - A workflow trigger returns a 504 timeout error, with the task status showing "Execution failed". This occurs when the
PARSE_FILE_TIMEOUT_SECONDSparameter is not adjusted; parsing time for industrial metal multi-contract data exceeds the default setting. - The exported docx document is missing delivery grade and origin fields, with generated content only including basic quote data. This occurs when unique non-basic fields for industrial metals are not mapped in the workflow’s content generation node, leading to incomplete output content.
How to Confirm Proper Configuration
- View workflow trigger logs to confirm task execution times align with the trading hour range specified in the
triggerCronconfiguration. - Initiate a test call with a specified contract code, and check that the
knowledgeSearchnode returns results for the corresponding category’s market data, with referenced documents matching the passed classification tags. - Run the export function to verify that the generated docx document includes all configured industrial metal-related fields and has the expected layout.
- After completing version migration, check the workflow’s dynamic variable binding logic to confirm that
knowledgeBaseDynamicIdtransfer matches the original project’s configuration logic.
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.