Forms and Interactions for Coking Coal Marketing Content

The data for this category comes from domestic coal spot trading platforms, port delivery ledgers, and futures exchange market data APIs. There are

What the data for this category looks like

The data for this category comes from domestic coal spot trading platforms, port delivery ledgers, and futures exchange market data APIs. There are two update schedules: spot listing data updates daily, and futures main contract market data is pushed in real time during trading hours. The data is structured entries including fields such as origin identifier, delivery port, listing benchmark price, total moisture index, caking index, and colloidal layer thickness. The corresponding units are yuan/ton, dry base value, dimensionless index, and millimeter.

What constraints these characteristics impose on forms and interactions

The multi-update schedule and multi-field characteristics of coking coal data impose clear constraints on the forms and interactions link. Real-time futures market data requires the form’s data source pull interval to match the update cycle, to avoid displaying outdated information. Daily updated spot data requires configuring a daily scheduled synchronization trigger logic. Coking coal’s professional fields have differentiated units, so the interaction link must add unit verification rules to block non-compliant inputs. At the same time, field differences across multiple data sources require the form to provide a data source switching option. This option automatically adapts the optional parameter range of corresponding fields after switching, to avoid parameter mismatches.

How to set configurations

Configuration ItemItem Item Item Item Item Item Item Item Item Item
data_sync_interval1 minute (futures data source), 24 hours (spot data source)Matches the actual update schedule of the two coking coal data sources, balancing real-time performance and resource consumption
input_field_validationEnable unit verificationCoking coal fields have differentiated units such as yuan/ton and millimeter, so non-compliant inputs must be blocked
dropdown_option_refreshAuto-refresh when data source is switchedField parameter ranges differ across data sources, so optional values must be updated synchronously
max_context_length800–1200 charactersControls context length to adapt to the display and model processing limits of coking coal multi-field data
recall_top_kTop 3–5 entriesAccurately matches coking coal professional parameters, avoiding excessive recalled content interfering with marketing content generation
form_field_tip_modeProfessional term tipsCoking coal has professional fields such as caking index, so standard prompt text must be provided

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

Three common configuration mistakes

  • The number of recalled results exceeds the set range, returning entries beyond recall_top_k, which causes background knowledge to interfere with generated content. The cause is incorrect configuration of the recall_top_k parameter, or failure to enable result rearrangement and filtering logic.
  • Form inputs do not undergo unit verification, and non-yuan/ton price inputs appear, leading to subsequent data matching failures. The cause is failure to enable the input_field_validation configuration item.
  • The data synchronization interval is set to a unified value, causing spot data to be outdated for more than 24 hours and displaying outdated coking coal listing prices. The cause is failure to distinguish synchronization interval configurations based on data source type.

How to confirm the configuration is correct

  • Manually switch the form’s data source option, check whether the dropdown fields automatically update to the parameters of the corresponding data source.
  • Enter test values that do not comply with unit specifications, check whether the form pops up a verification prompt.
  • View the data synchronization logs to confirm that the synchronization intervals of different data sources match the preset configurations.
  • Initiate a marketing content generation request, check that the number of recalled background knowledge entries conforms to the set range.

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.