What this category’s data looks like
Marketing data related to carbon steel comes primarily from steel mill ERP systems, regional spot trading platforms, downstream dealer inventory and sales ledgers, and offline customer lead registration forms. Data update cadence falls into two categories: Spot price and customer lead data is synchronized daily after market close. Production capacity and regional inventory data is updated once per week. Most documents use structured tables as their core structure, with a small number of product specification remark fields. Core fields include sheet thickness (unit: mm), width (unit: mm), price per ton (unit: yuan/ton), delivery lead time (unit: days), origin, cooperating dealer tier, and customer region. There are no complex nested hierarchies.
What constraints do these characteristics impose on workflow orchestration?
The structured nature of carbon steel data requires workflows to prioritize structured data extraction nodes, to avoid field misalignment caused by generic text parsing. Daily-updated spot prices and customer leads require scheduled trigger node intervals to not exceed 24 hours, otherwise marketing content cannot be synchronized with the latest information. The need for multi-field classification requires adding conditional branch nodes based on origin, region, and dealer tier in the workflow, to achieve precise audience matching. The document structure dominated by tables requires upload parsing nodes to enable table-specific parsing mode, to avoid incorrect splitting or merging of cell content. The need to batch process customer or dealer data requires configuring loop nesting nodes in the workflow, to support one-by-one processing of multiple files or entries.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_TABLE_MODE | Enable table-specific parsing | Most carbon steel marketing data is in structured tables. This mode preserves cell hierarchy and avoids content misalignment |
SCHEDULER_INTERVAL_SECONDS | 86400 seconds | Carbon steel spot prices and customer leads are updated daily. This interval ensures data synchronization frequency matches the update cadence |
HTTP_REQUEST_TIMEOUT | 600-1200 seconds | Some regional spot platform interfaces have slow response times. This range avoids request timeouts and interruptions |
WORKFLOW_LOOP_NESTING_ENABLE | Enable | Carbon steel marketing requires one-by-one processing of multiple dealer ledgers or customer leads. Loop nesting enables batch operations |
GLOBAL_VAR_ASSIGN_METHOD | Pass via workflow input nodes | External interface-returned carbon steel inventory or lead data can be directly assigned as global variables for use by subsequent nodes |
MARKDOWN_MESSAGE_VISIBILITY | Enable plain text conversion | WeChat has limited compatibility with complex Markdown formats. Conversion ensures marketing messages are delivered correctly |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Symptom: HTTP request timeout error, with status code 504 or requests being interrupted by the system. Cause: The
HTTP_REQUEST_TIMEOUTparameter was not adjusted. The default 300 seconds is insufficient to cover the interface response duration of regional spot platforms. - Symptom: After uploading multiple PDFs or multiple dealer ledgers, only the first file's information is processed. Cause: The
WORKFLOW_LOOP_NESTING_ENABLEswitch was not enabled, and loop nodes were not configured to traverse the input file or entry list. - Symptom: Fields appear empty when subsequent workflow nodes call global variables. Cause: External input parameters were not correctly passed via
GLOBAL_VAR_ASSIGN_METHOD. Hardcoding variable values directly within nodes prevents real-time data updates.
How to confirm the configuration is correct
- Run a manually triggered workflow, check that parsed table fields are complete, and core marketing fields such as sheet thickness and price per ton are not missing.
- View the running logs of the HTTP request node, confirm that the response duration does not exceed the configured
HTTP_REQUEST_TIMEOUTparameter value. - Trigger the loop processing node, check that the number of output results matches the number of input files or entries, with no omissions.
- Print the global variable value in a subsequent node, confirm that it matches the carbon steel data from external input parameters or interface returns.
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.