HTTP Interfaces and External Systems for Steel Trade

What this category of data looks like

Data for steel trade financial report analysis comes primarily from public industry association reports, customs import and export statistics, annual and quarterly reports of listed steel trading enterprises, and daily transaction data from spot trading platforms. Quarterly financial report data is released within 15 working days after the end of the reporting period. Spot and inventory data is updated daily. A single financial report document includes fields such as enterprise revenue, sales volume of steel product categories, proportion of upstream and downstream cooperation, and cost composition. Units include yuan/ton, ten thousand tons, and hundred million yuan RMB. Some cross-border trade data includes customs code and currency conversion fields.

Constraints imposed on HTTP interfaces and external systems

Quarterly financial report data has a fixed update cycle. Configure scheduled pull tasks to match the release schedule, to avoid pulling unpublished pre-release data. Daily updated spot data requires short-interval polling. Limit single request volume to comply with platform interface rate limiting rules. Multiple fields require cross-unit conversion. Configure unit standardization mapping logic at the interface layer. Cross-border trade related fields require additional compliance verification parameters, to ensure data meets import and export data disclosure requirements. Document volume varies widely. A single quarterly financial report may exceed 100,000 words. Configure adaptive rules for segmented parsing and sharded upload.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`rag_recall_top_k`	Top 8-12 entries	Steel trade financial report data has many scattered fields. A sufficient number of context snippets must be recalled to cover business queries
`api_request_timeout`	300 seconds	Single financial report document parsing takes a long time. This must accommodate latency requirements for large file processing
`parse_chunk_size`	800–1200 characters	Financial report text contains many technical terms and long sentences. Segment length must balance context coherence and recall accuracy
`kb_upload_max_size`	500 MB	A single annual financial report compressed package may reach hundreds of megabytes. This must accommodate large file upload requirements
`api_response_format`	json + text dual format	Some external systems only support receiving results in plain text. Both structured and human-readable formats must be returned
`rag_similarity_threshold`	0.72–0.85	Technical terms in the steel trade industry have high similarity. A reasonable threshold must be set to filter irrelevant recall results

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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

A call to the knowledge base search interface returns a code:514 error. This occurs when the knowledge base ID and interface permission token are not configured correctly, or the request header does not carry a valid Authorization field.
The API returns results without text format content. This occurs when the dual-format output configuration for api_response_format is not enabled, and only structured JSON data is returned.
Recall test returns a number of results that does not match the configured value. This occurs when the rag_recall_top_k parameter is not set correctly, or the semantic matching degree between the input query and financial report data is too low.

How to Verify Proper Configuration

Run a curl command to call the knowledge base search interface. Check that the returned HTTP status code is 200, and that it includes the expected structured data and text format.
Upload a test steel trade financial report document. Check that the number of parsed segments matches the configuration logic of parse_chunk_size.
Adjust the rag_similarity_threshold parameter. Verify that the relevance of recall results changes as expected with the threshold.
Configure a scheduled pull task. Check that the task triggers at the set time interval and pulls the latest financial report data.

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.