What This Category of Data Looks Like
Core data sources include public reports from the domestic steel industry association, data from bulk commodity spot trading platforms, and bulk commodity research reports from professional steel trade information institutions and financial institutions. Spot price data updates daily. Inventory and supply and demand reports release weekly and monthly. Document structure includes three core parts: core indicator tables, regional market trends, and supply and demand trend analysis. Fields include delivery brand, storage location, transaction unit price, month-on-month change rate. Common units are yuan/ton, ten thousand tons, and percentage.
Constraints for HTTP Interfaces and External Systems
Data sources with varying update frequencies require interfaces to support flexible scheduled pull configurations. Interfaces must allow setting daily, weekly, and monthly pull cycles. Structured fields and specific units require interface field validation rules to match identifiers such as delivery brand and yuan/ton. This prevents unit conversion errors. Regional market tables have a fixed structure. External systems must support structured extraction of table content during integration. Multi-source data aggregation requires interfaces to support authentication configuration for multiple data sources and data merging logic.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
similarity_top_k | Top 10-15 results | Core supply and demand and price indicators of steel trade research reports are concentrated; excessive recall will introduce non-core regional market data |
parse_table_enable | Enabled | Research reports contain structured price and inventory tables, and table fields need to be extracted for accurate retrieval |
http_request_timeout | 600 seconds | Multi-source data pulling requires waiting for cross-platform interface responses to avoid timeout interruptions of data synchronization |
field_mapping_rule | Map according to dedicated fields such as delivery brand, ton price | Match the dedicated field naming of steel trade research reports to avoid field mismatches during retrieval |
schedule_interval | 86400 seconds - 2592000 seconds | Adapt to the update cycles of daily updated spot data and weekly/monthly updated supply and demand reports |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- A
404 Not Founderror occurs when calling the HTTP interface. The root cause is incorrect configuration of multi-source data source API paths. Third-party information interface paths for steel trade research reports differ from general commodity category interfaces. The dedicated steel trade interface address was not substituted. - Irrelevant agricultural or chemical category research reports appear in search results. The root cause is missing dedicated field mapping for
field_mapping_rule. The system fails to filter non-steel field information. - Scheduled pull tasks time out and interrupt. The root cause is setting
http_request_timeoutto300 seconds. This value does not adapt to the response duration of multi-source data pulling, resulting in incomplete retrieval of large monthly research report data.
How to Confirm Successful Configuration
- Initiate a single HTTP interface call. Check if returned fields include dedicated steel trade research report fields such as delivery brand and ton price. This confirms the field mapping configuration takes effect.
- View scheduled pull task execution logs. Confirm the pull cycle matches the research report update rhythm, and no timeout errors occur.
- Initiate a search request. Confirm the number of returned results matches the
similarity_top_ksetting, and no irrelevant category research report content is included. - Test the table parsing function. Confirm structured table data extracted from research reports can be synchronized to external systems normally.
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.