What the data for this category looks like
Thermal coal financing daily report data primarily comes from domestic coal industry monitoring platforms, northern port spot trading systems, railway freight statistics public disclosures, and downstream power plant operation public data. Data updates follow a fixed daily schedule. Each daily report document includes same-day core trading data, month-on-month changes, main producing area output, port inventory, downstream daily consumption, plus financing-related indicators such as bill discount rates and credit limit changes. Fields fall into two categories: numeric and ratio types. Units include yuan/ton, ten thousand tons, ‰ per day, and others. Some fields require date-based month-on-month comparison.
What constraints these characteristics impose on the model access and configuration link
The daily update feature requires configuring scheduled pull or automatic sync trigger rules to avoid data delays or duplicate pulls. Multi-dimensional fields and varied units require the model to align units and classify fields during parsing and recall, to prevent unit confusion in analysis results. The reports include dedicated financing indicators, so dedicated function call rules must be configured for the model to support segmented analysis logic for bill rates and credit limit changes. When batch processing multiple historical daily reports, control the per-batch processing scale to avoid task interruptions from exceeding memory limits.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Thermal coal financing daily reports contain multiple linked data sets per document, with longer parsing times than generic documents. This setting prevents task interruptions from mid-run timeouts |
maxContext | 8000–12000 characters | Must cover all fields of a single daily report, month-on-month comparison logic, and unit descriptions to prevent context truncation that causes the model to lose critical rules |
Recall count | Top 7 historical daily reports | Thermal coal financing analysis typically references 7-day data trends, aligning with industry standard analysis cycles |
Similarity threshold | Calibrated via actual testing | Must adapt to text differences between daily reports of different dates, to avoid repeated matching of same-period data or confusion between adjacent date documents |
FUNCTION_CALL_ENABLE | Enabled | Supports calling preset financing indicator calculation functions to adapt to thermal coal-specific analysis logic for bill rates and credit limit changes |
BATCH_PROCESS_BATCH_SIZE | 10 items per batch | Aligns with the data volume of a single daily report, prevents memory overflow during batch processing, and resolves abnormal interruptions when uploading multiple documents in bulk |
The parameter values provided on this page are common starting points for configuration. Actual values vary based on material form, data volume, and business rules. Individual analysis of specific issues is required, and testing on local samples is recommended before finalizing configurations.
Three Common Misconfigurations
When uploading multiple thermal coal financing daily reports in bulk, the first 10 documents parse normally, but subsequent documents return empty fields. This occurs when BATCH_PROCESS_BATCH_SIZE is not configured, with the default batch size being too large and causing memory usage to exceed limits, leading to abnormal batch corpus processing. When calling the model to calculate financing indicators, incorrect unit conversion results are returned, such as incorrectly calculating the yuan/ton closing price as ten thousand yuan/ton. This happens when maxContext is not configured to cover field unit descriptions, causing the model to confuse unit rules across different dimensions. A 401 unauthorized error is returned when accessing a third-party data source. This stems from failure to correctly configure authentication parameters for the third-party data source, preventing interface calls from passing identity verification.
How to Confirm Configuration is Complete
Manually upload a single standard thermal coal financing daily report document, and verify that the parsed fields fully match the values and units from the original document. Initiate a batch processing task, and confirm that the number of returned documents after completion matches the number of uploaded documents, with no abnormal error logs. Trigger a single function call test, and verify that the model correctly calls the preset financing indicator calculation function and returns analysis results consistent with industry logic. Configure a scheduled pull task, and verify that daily automatically synced data completes updates on time, with no delays or missing data.
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.