What the data for this category looks like
Coking coal market and yield data is primarily sourced from Dalian Commodity Exchange public trading data and domestic coal industry monitoring agency spot quotes. Intraday order book data updates every 5 minutes. Daily settlement and yield data for main contracts is released within 1 hour after market close. Data is returned in structured JSON or CSV format, with core fields including contract code, trading date, opening price, closing price, settlement price, daily price change percentage, and trading volume. Price unit is yuan/ton, trading volume unit is lots, and price change is presented as a percentage.
What constraints do these characteristics impose on multi-turn dialogue and prompt engineering
The high-frequency update nature of coking coal data requires multi-turn dialogue to support on-demand data refresh, preventing return of expired historical market data. Prices and yields vary across different contracts, so prompts must explicitly require users to specify a target contract code or month, otherwise prompt for additional information. The special field units require prompts to clearly mark corresponding units for price and trading volume, to avoid calculation or display errors. It is also necessary to distinguish between use cases for futures order book data and daily settlement yield data, to avoid confusing the return logic for the two data types.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Coking coal multi-turn dialogue needs to retain context for multiple contract queries and data comparisons. This range covers information needs for most conversation scenarios |
recallTopK | Top 8–12 entries | Coking coal market data covers multiple contract dimensions. Too many recalled entries increase context load, while too few will miss key contract data |
PROMPT_TEMPLATE | Must include field validation logic for "coking coal contract code, unit yuan/ton, date" | Coking coal data has clear field units and contract dimensions. Mandatory validation of user input parameter completeness is required in the template |
API_REQUEST_TIMEOUT | 60 seconds | Third-party interfaces for coking coal data typically respond within 30 seconds. Reserve sufficient buffer to avoid timeout errors |
similarityThreshold | 0.75–0.85 | Coking coal contract codes and date keywords have high recognition. This threshold filters irrelevant historical conversations while retaining valid context |
UPLOAD_FILE_MAX_SIZE | 200 MB | Coking coal industry reports and monthly data files typically do not exceed this size, while also avoiding large file loading timeouts |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Mistakes
- Receiving a 422 Unprocessable Entity error when calling the dialogue interface. Cause: Failed to correctly pass the application ID parameter, or the passed application ID format does not meet platform requirements.
- Failed parsing after uploading a coking coal market Excel file. Cause: The Excel file parsing switch is not enabled, or the uploaded file contains non-standard formats such as merged cells.
- Chaotic units in yield data returned by multi-turn dialogue. Cause: The prompt template does not clearly specify the units for price and price change, causing the model to mix spot and futures unit rules.
How to Verify Successful Configuration
- Initiate a test dialogue including a coking coal contract code and specified date, check if returned data fields and units match expectations.
- Upload a standard format coking coal market file, confirm parsed data fields are complete and have no format errors.
- Call the create application API interface, verify that the returned application ID can be used normally for subsequent dialogue requests.
- Initiate two consecutive coking coal market queries, confirm that the context window can correctly call historical information without redundant content.
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.