HTTP Interfaces and External Systems for Special Steel

What the data for this category looks like

Special steel marketing-related data primarily comes from production MES systems, physical and chemical testing LIMS systems, and sales inventory systems. Data updates trigger per production batch. After each heat’s product completes physical and chemical testing, the system updates composition and mechanical performance parameters for the corresponding grade. Inventory and quotation data synchronizes daily. Exported marketing data documents use structured JSON or CSV formats. These documents include fields such as heat number, grade, carbon content, silicon content, yield strength, tensile strength, delivery condition, and nominal size. Mechanical performance units use megapascals (MPa). Dimension units use millimeters (mm). Composition proportion units use percent (%).

What constraints do these characteristics impose on HTTP interfaces and external systems

These data characteristics create multiple constraints for HTTP interface and external system integration. Data updates happen independently per production batch. Interfaces must support heat number and batch number as core query parameters. This avoids redundant traffic and data matching errors from full pulls. Multiple fields and strict unit rules require interfaces to retain original field names and units in returned data. Unauthorized unit conversions will distort product parameters in marketing content. Multi-source data requires interfaces to aggregate data across MES, LIMS, and sales systems. Integration workflows must include data validation rules to filter invalid physical and chemical testing data. Daily updated inventory and quotation data must support both scheduled synchronization and manual trigger modes. This accommodates temporary business adjustments.

How to set configurations

Configuration Item	Recommended Value	Rationale
`external_data_sync_interval`	`86400 seconds`	Special steel inventory and quotation data updates once daily. This matches the synchronization cycle
`api_query_required_fields`	`["heat_number", "grade", "yield_strength", "tensile_strength"]`	Core marketing content display fields are these four items. Prioritize their synchronization
`external_api_timeout`	`300 seconds`	Physical and chemical testing data retrieval waits for laboratory system responses. Reserve sufficient response time
`field_unit_mapping`	`{"yield_strength":"MPa","carbon_content":"%"}`	Special steel data fields have fixed unit specifications. Retain original units to avoid distortion
`incremental_sync_enabled`	`true`	Production batch-updated data works well with incremental pulls. This reduces redundant synchronization overhead
`external_api_auth_type`	`api_key`	Most industrial external systems use API key authentication. This secures data access

The parameter values provided on this page are common starting points for configuration. Actual values depend on material form, data volume, and business rules. Address specific issues individually. Test against your own samples before finalizing settings.

Three common mistakes

Phenomenon: Interface returned data uses N as the unit for mechanical performance fields instead of the preset value. This leads to incorrect marketing content parameters. Cause: The field_unit_mapping parameter is not configured. The system uses raw units from the external system directly without standardized mapping.
Phenomenon: Scheduled synchronization tasks return full historical batch data after triggering. This occupies significant storage and bandwidth. Cause: The incremental_sync_enabled configuration is not enabled. The system uses full pull mode.
Phenomenon: Interface calls return a 400 Bad Request error. No matching product data exists. Cause: Query parameters do not include heat number or batch number. The system cannot accurately match batch-level special steel data.

How to confirm the configuration is correct

Call the configured HTTP interface. Pass a real heat number parameter. Verify returned fields include the preset core marketing fields.
View synchronization logs. Confirm only newly added batch data is pulled. No full duplicate synchronization records appear.
Check interface returned units for mechanical performance and composition fields. Verify they match the preset field_unit_mapping rules.
Trigger a manual synchronization task. Confirm task execution duration stays within the external_api_timeout configuration threshold.

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.