Tool Calling and Plugins for Coking Coal Financing Daily Reports

Coking coal financing daily report data comes primarily from domestic coal industry monitoring institutions and publicly disclosed trading data from

What this category of data looks like

Coking coal financing daily report data comes primarily from domestic coal industry monitoring institutions and publicly disclosed trading data from futures exchanges. It updates once daily, releasing full data for the previous trading day the following morning. Data is presented as structured tables. Core fields include: statistical date, coking coal variety code, financing purchase amount, financing balance, financing repayment amount, net financing purchase amount, and daily closing volume. Monetary fields use RMB ten thousand yuan as the unit. Trading volume and position volume use lots as the unit.

What constraints these characteristics impose on tool calling and plugins

The daily update requirement means tool calling must use fixed scheduled trigger rules to avoid duplicate calls or missed update windows. The structured fixed field requirement means plugin parsing logic must bind coking coal-specific field mappings. General coal category parsing templates are not allowed. Clear unit requirements for amounts and volumes require plugins to add unit validation steps to prevent unit confusion across categories. The fixed variety code prefix rule mandates using JM-prefixed variety identifiers when calling interfaces, to avoid confusion with data from other coal segments.

How to configure

Configuration ItemRecommended ValueRationale
PARSE_FILE_TIMEOUT_SECONDS300 secondsCoking coal financing daily report single document has small data volume. 300 seconds is sufficient to complete structured parsing and avoid unnecessary waiting
tool_trigger_schedule0 9 * * *Data is released the following morning. This cron expression ensures triggers run after data updates to fetch the latest complete data
plugin_parse_field_mappingStatistical Date → date, Financing Purchase Amount → buy_amount, Financing Balance → balanceMust map Chinese field names in documents to standardized fields recognizable by tools, to match the fixed field structure of coking coal financing daily reports
api_key_whitelist["jm_finance_daily_app1", "jm_finance_daily_app2"]Restrict API calling permissions for different applications. Assign independent key ranges to each application to avoid configuration conflicts
PARSE_MAX_CONTENT_LENGTH800–1200 charactersCoking coal financing daily report single page has limited data volume. This range covers complete document content and avoids redundant parsing

The parameter values provided on this page are common recommended starting points for configuration. Actual values are influenced by material form, data volume and business rules. Specific situations require individual analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Configuration Errors

  • Symptom: The parsing plugin returns 400 Bad Request with an empty buy_amount field. Cause: No coking coal-specific field mapping rules were configured, and a general coal category parsing template was used, which cannot match the fixed field names of coking coal financing daily reports.
  • Symptom: Existing API key configurations are overwritten by new configurations when different applications call the same model interface. Cause: The api_key_whitelist parameter was not enabled, and independent key permission ranges were not assigned to each application, leading to configuration overwrites.
  • Symptom: Scheduled tool triggers fail to retrieve the latest daily data, returning empty results. Cause: The tool_trigger_schedule cron expression was not adjusted to match the release rhythm of coking coal financing daily reports, with trigger times occurring before the data update window.

How to Verify Correct Configuration

  • Manually upload a sample coking coal financing daily report document, and check if the parsed fields from the plugin fully match the preset plugin_parse_field_mapping.
  • Trigger a scheduled tool call once, and verify that the statistical date in the returned result matches the previous trading day’s date relative to the current date.
  • Configure exclusive API keys for two different applications, and confirm that each application can only use its own key when calling, with no overwriting of the other’s configuration.
  • Check the tool calling logs, and confirm that trigger times follow the preset tool_trigger_schedule rules, with no duplicate or missed triggers.

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.