HTTP Interfaces and External Systems for Coke Research

Data Overview

Data sources for coke research reports include domestic coal industry associations, Dalian Commodity Exchange delivery data, major commodity information platforms in main production areas, and public operational reports from domestic key steel mills. Update frequencies vary:

Spot prices in main production areas are updated daily
Port inventory data is updated every two days
Weekly industry supply and demand reports are released weekly
Brokerage research reports are updated irregularly based on publication needs

Document structure includes four modules: daily market trends, supply and demand data, downstream dynamics, and future market outlook. Fields include:

Production area quotation (unit: yuan/ton)
Port inventory (unit: 10,000 tons)
Production capacity scale (unit: 10,000 tons/year)
Transportation cost (unit: yuan/ton)

The length of individual documents varies widely. It is recommended to calculate or measure using samples before finalizing values.

Constraints for HTTP Interfaces and External Systems

Scattered data sources and inconsistent update cycles for coke research reports require HTTP interfaces to support two invocation modes: multi-source aggregation and on-demand pulling. These modes adapt to the update frequencies of different data sources. Field units require standardization. Interfaces must include unit validation logic to prevent cross-source unit confusion. Wide variation in individual document lengths requires interfaces to support custom chunk length parameters. This ensures accuracy during long-text retrieval. External system integration involves multiple platform types, including industry information platforms and steel mill ERPs. Interfaces must adapt to different authentication methods to ensure legal data pulling. Concentrated core information in coke research reports requires the number of interface recall entries to match data density. This avoids invalid information overload.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`recall_top_k`	`8-12`	Core fields of coke research reports are concentrated. Excessive recall will dilute effective information density
`chunk_size`	`800-1200 characters`	Supply and demand data paragraphs in coke research reports mostly fall within this range. Chunking preserves complete logical structure
`api_timeout`	`30 seconds`	Average response time for interfaces connected to external commodity platforms is approximately 25 seconds. A 5-second buffer is reserved
`source_auth_type`	`API_KEY`	Most coke industry data sources only support API key authentication. This adapts to mainstream integration methods
`enable_unit_validate`	`Enabled`	Coke data units are uniformly yuan/ton and 10,000 tons. Enabling validation prevents cross-source unit confusion
`enable_multi_source`	`Enabled`	Coke research report data is scattered across associations, ports, steel mills and other data sources. Multi-source aggregation improves coverage

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 targeted analysis. It is recommended to test using samples before finalizing settings.

Three Common Misconfigurations

Phenomenon: HTTP interface returns coke research report results with excessive redundant citation fragments, resulting in cluttered interface display. Cause: The disable_citation parameter is not configured, or the recall entry count is set too high, introducing citation content from non-core data sources.
Phenomenon: Interface calls return a 429 Too Many Requests status code, and requests are blocked. Cause: The rate_limit parameter is not configured to match the call frequency limits of coke data sources, exceeding the allowed request frequency of the platform.
Phenomenon: After integrating with a steel mill ERP system, downstream data fields returned by the interface are empty. Cause: The field_mapping parameter is not configured, and external system field names are not mapped to the standardized fields required for coke research report retrieval.

How to Verify Proper Configuration

Invoke the test interface with core keywords for coke research reports, and verify that the field units of returned results conform to the standard format of yuan/ton and 10,000 tons.
Review interface logs to confirm that request frequency does not exceed the configured rate_limit threshold, and no 429 error records exist.
Check the connection status of all configured multi-source data sources, confirm that each returns valid data, and there are no connection timeout or authentication failure prompts.
Adjust the recall_top_k parameter, and confirm that the number of returned results matches the configured value.

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.