What Data for This Category Looks Like
This category’s data comes from three main sources: securities firm coal industry research teams, professional coal consulting institutions, and domestic coal industry associations. Update frequencies follow multiple tiers:
- Spot listing price data is updated daily
- Industry supply and demand weekly reports are released weekly
- Quarterly supply and demand balance analysis reports are updated monthly
Single documents typically include: publishing entity, publish time, core judgment conclusions, main coking coal origin listing price (unit: yuan/ton), main coking coal quality parameters, downstream coking and steel industry operation dynamics, and other content. Most fields focus on coking coal transaction prices, quality indicators, and industry linkage data.
What Constraints Do These Characteristics Impose on HTTP Interfaces and External Systems
The data characteristics of coking coal research reports create multiple constraints for interfaces and external systems.
- High-frequency spot price updates require interfaces to support short-cycle pulls. Set reasonable request frequency thresholds to avoid triggering upstream data source rate limits.
- Multi-dimensional industry analysis content requires interfaces to support combined filtering by publish time, keywords, and report type. Interface parameters must cover multi-condition query capabilities.
- Most coking coal-related fields tie to quality indicators and transaction prices. Interfaces must return structured key-value pair formats to reduce external system parsing costs.
- Single report length varies widely. Interfaces must support paginated pulls to avoid returning data volumes that exceed external system processing limits in a single request.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
rag_recall_top_k | Top 8-12 entries | Core data of coking coal research reports is concentrated in a small number of relevant paragraphs. Excessive recall will introduce irrelevant content and improve retrieval accuracy |
api_request_timeout | 600 seconds | Long document parsing and recall require long processing time to avoid early timeout interrupting requests |
external_source_filter_keywords | Coking Coal, Primary Coking Coal, Coking Plant, Coal Supply and Demand | Precisely filter research report content related to coking coal segments, reducing the number of invalidly recalled documents |
parse_chunk_size | 800–1200 characters | Coking coal research reports have many professional terms. A moderate segment length can retain context association and improve retrieval accuracy |
api_rate_limit_per_minute | 30–50 requests per minute | Adapt to upstream data source high-frequency request rate limits to avoid triggering access restrictions |
global_variable_default | Commodity Type: Coking Coal | Fix the retrieval category dimension, reducing repeated parameter input during external calls |
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. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: When calling an external interface, the interface displays "Channel Unavailable", and the interface test returns a 401 Unauthorized status code. Reason: The configured access token is not correctly associated with the interface permissions required for coking coal research report retrieval, or the token's validity period has expired.
- Phenomenon: The retrieved research reports contain a large number of non-coking coal category coal documents, and result relevance is insufficient. Reason: The
external_source_filter_keywordsparameter is not configured, or the parameter does not include precise keywords related to coking coal. - Phenomenon: Long document parsing tasks are interrupted early, returning a 504 Gateway Timeout or 500 Internal Server Error prompt. Reason: The
api_request_timeoutparameter is set too short, and does not adapt to the parsing and retrieval time of long coking coal research reports.
How to Confirm Configuration Is Correct
- Call the interface with coking coal-specific keywords, check whether the returned results include coking coal price, quality parameters and other specific fields, to confirm that the filtering rules take effect.
- Initiate short-cycle continuous requests, check whether rate limit-related errors are triggered, to confirm that the request frequency threshold settings adapt to upstream data source rules.
- Pass filter parameters for a specified publish time range, check whether the time coverage of the returned results meets the configuration conditions, to confirm that the multi-condition query function works properly.
- Pull the complete content of a single long document, check whether it can be parsed and returned normally, to confirm that the pagination and timeout configurations adapt to the document length.
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.