What the Data for This Category Looks Like
Data for coking coal due diligence reports comes primarily from domestic major port delivery ledgers, mine capacity reporting systems, bulk commodity spot information platforms, and futures exchange listed contracts. Update cadences fall into three categories:
- Spot prices update daily
- Port inventory data updates weekly
- Monthly capacity and downstream demand data updates monthly
A single report document includes fields such as origin name, coal quality indicators (ash content value, sulfur content value, caking index), current spot price, total port inventory, and transportation lead time. Price unit is yuan per ton, inventory unit is ten thousand tons, and caking index is a dimensionless professional value.
What Constraints Do These Characteristics Impose on HTTP Interfaces and External Systems
Multi-source heterogeneous data sources require interfaces to support concurrent pulling from multiple addresses. This prevents data loss caused by a single request relying on only one data source.
Data sources with different update frequencies require interfaces to support periodically configured incremental synchronization. This avoids repeated pulling of outdated data.
Strict requirements for coking coal-specific fields require returned fields to fully match the due diligence report template. This prevents field misalignment that distorts report content.
Differences in units across data sources require interfaces to support unified conversion. This ensures consistent data formats when connecting to external systems.
Requirements for data timeliness from downstream external systems such as risk control and finance require interfaces to support on-demand data pulling. This also supports fixed-cycle batch synchronization.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Pulling multi-source data for coking coal due diligence reports requires long processing time. 300 seconds covers most scenarios |
max_context_window | 8192 characters | Coking coal due diligence reports include many professional fields. Full content requires sufficient context storage space |
field_matching_threshold | 0.85 | Matching coking coal-specific fields requires high precision to prevent irrelevant data from being included in reports |
api_batch_size | 15 entries | Single-batch data volume for coking coal data sources is moderate. This balances request load and data completeness |
update_strategy | incremental_sync | Coking coal data updates daily, weekly, or monthly. Incremental synchronization reduces invalid requests and bandwidth consumption |
response_unit_convert | standardize_to_ton_yuan | Units vary across different data sources. Must be unified to industry standard formats: yuan per ton and ten thousand tons |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: A called workflow API returns a due diligence report with no contextual association, only containing a single data fragment. Cause: Context retention configuration for the workflow is not enabled, or the interface request does not carry a valid context session ID.
- Symptom: Coking coal-specific fields returned by the interface are empty or formatted incorrectly. Cause: Strict field mapping rules are not configured, leading to non-standard fields being filtered or incorrectly matched.
- Symptom: Interface requests time out, returning a
504 Gateway Timeoutstatus code. Cause: ThePARSE_FILE_TIMEOUT_SECONDSconfiguration is not adjusted. The default timeout duration is insufficient to cover multi-source data pulling time.
How to Confirm Configuration Is Complete
- A single API request is initiated. Returned fields are verified for inclusion of core professional fields for coking coal due diligence reports. Field mapping rules are adjusted based on report requirements.
- Multiple batch requests are simulated. Interface response duration is observed. The
PARSE_FILE_TIMEOUT_SECONDSconfiguration is adjusted based on actual time consumption. - After connection to external systems, data units are verified against industry standards. Unit conversion configurations are adjusted based on format requirements of the connected system.
- Multiple consecutive daily requests are initiated. Incremental synchronization updates are checked against the actual update cadence of data sources. Synchronization strategies are adjusted based on actual update frequencies.
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.