What data for this category looks like
Special steel yield rate-related data comes from domestic special steel spot trading platforms, publicly monitored data from steel industry associations, and corresponding futures contract market trends. Data update cadences fall into three categories:
- Spot transaction prices update in real time during trading hours
- Ex-factory prices update daily after market close
- Overall industry monitoring weekly reports are released each week
Each structured daily report document includes 10 to 20 special steel variety market entries. Fields include variety name, specification and model (such as diameter, thickness), quotation, price change amount, trading volume, with a unified unit of yuan/ton. Some data includes the fluctuation range for the day’s trading session.
Constraints for model integration and configuration
The multi-specification segmentation and mixed update cadence of the special steel category create multiple constraints for model integration and configuration. First, the field structure with multiple varieties and specifications requires precise field mapping rules. This avoids confusing data for the same category of special steel with different diameters or thicknesses. Second, mixed update frequencies (real-time, daily, weekly) require periodic data source pull scheduling. This ensures timely synchronization of different types of market data. Third, some data includes composite fluctuation range values. Extraction rules for multi-value fields must be configured to ensure the model can fully parse market information. Additionally, special steel data uses a unified unit of yuan/ton. Fixed unit verification rules must be configured to avoid unit matching errors across categories.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
FIELD_MATCH_PRECISION | 0.85–0.95 | Adapts to multi-specification segmentation field matching needs for special steel, avoids mismatching data for the same variety with different specifications |
DATA_SYNC_INTERVAL | Tiered configuration: 15 minutes, daily, weekly | Matches the different update cadences of special steel spot real-time prices, daily ex-factory prices, and weekly industry monitoring reports |
RECALL_COUNT | Top 10 entries | Covers market entries for mainstream special steel varieties, avoids too few recalled data or excessive redundancy |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to parsing duration for a single special steel daily report document, avoids parsing timeout for large documents |
maxContext | 8000–12000 characters | Accommodates context information for multi-variety special steel market data, ensures the model can fully process batch data |
SIMILARITY_THRESHOLD | 0.75 | Filters low-match special steel market data, retains valid information for core varieties |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Symptom: After server restart, clicking the model test button triggers an error stating
Model not found. Cause: The model service’s startup auto-start item is not configured, so the ollama or vllm service does not run automatically after restart. - Symptom: After parsing a special steel daily report document, the model’s returned results lack the specification and model field. Cause: The
FIELD_MATCH_PRECISIONparameter is set too high, causing filtering of multi-specification special steel field matches. - Symptom: When using version v4.9.0 to access a vllm-deployed model via ai proxy, the model fails to generate yield calculation results. Cause: The model’s API address and port are not correctly configured in the proxy settings, leading to failed request forwarding.
How to Confirm Successful Configuration
- Access the FastGPT model management page, click the test button, enter a query statement for special steel market trends, and verify the model correctly returns structured results including variety, specification, and quotation.
- View the data synchronization logs to confirm that special steel data sources with different update cycles complete pulling and parsing at preset time intervals.
- Check the field mapping configuration to confirm that all core fields of the special steel daily report have been correctly matched to the system’s preset field templates.
- Call the model’s batch processing interface, input multiple special steel daily report documents, and verify the parsing results have no missing fields or matching errors.
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.