Model Access and Configuration for Coke Financing Daily Reports

Coke financing daily report data is primarily sourced from domestic bulk commodity spot trading platforms, publicly available statistics from industry

What this category of data looks like

Coke financing daily report data is primarily sourced from domestic bulk commodity spot trading platforms, publicly available statistics from industry self-regulatory organizations, port warehouse inventory ledgers, and futures exchange settlement data. Data is updated at a fixed daily time point with full information for the previous trading day. Each daily report document includes fields such as the daily benchmark transaction price, total port inventory, upstream and downstream enterprise operating rates, margin financing and securities lending balances, and standard warehouse receipt quantities. The unit for prices is yuan/ton, inventory and warehouse receipts are measured in ten thousand tons, and financing balances are measured in ten thousand yuan.

What constraints these characteristics impose on model access and configuration

The fixed daily update requirement means the scheduled pull task trigger window must match the data update cycle to avoid pulling incomplete, dirty data. The structure with multiple fields and clear units requires configuring field validation rules to enforce unit format checks for price, inventory and other fields, preventing the model from outputting results with incorrect units. The need to integrate data from multiple sources requires configuring fusion weights for multi-source data, prioritizing authoritative data from futures exchanges and industry associations. The strong correlation between financing-related fields and warehouse receipt data requires configuring association matching rules during recall to ensure financing data is bound to corresponding warehouse receipt information, improving analysis accuracy.

How to configure the settings

Configuration ItemRecommended ValueRationale
REQUEST_TIMEOUT300 secondsSingle coke financing daily report has limited data volume. 300 seconds allows completion of multi-source pulling and basic validation, avoiding task interruption due to timeout
maxContext8000–12000 charactersDaily reports include multi-field correlation analysis. A sufficient context window retains complete field information and historical correlation data
FIELD_VALIDATIONEnable unit validation matching the formats yuan/ton, ten thousand tons, ten thousand yuanAll daily report fields have fixed units. Enforcing validation prevents the model from outputting analysis results with incorrect units
SOURCE_WEIGHTFutures exchange 0.4, industry association 0.3, spot platform 0.2, port 0.1Different sources have varying levels of authority. Prioritize publicly available statistical data from futures exchanges and industry associations
ASSOCIATED_RECALLBind margin financing and securities lending balance fields with standard warehouse receipt fieldsFinancing data and warehouse receipt quantities have a strong correlation in coke financing daily reports. Binding them improves the accuracy of correlation analysis
MODEL_INFERENCE_TIMEOUT600 secondsModel inference after multi-source data fusion requires longer processing time, avoiding task failure due to timeout

The parameter values provided on this page are common 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 errors

  • Phenomenon: The model call returns a 504 Gateway Timeout error, or the task status shows "timeout failure". Cause: Reasonable REQUEST_TIMEOUT and MODEL_INFERENCE_TIMEOUT parameters are not configured, and the timeout threshold is set too short to cover the time required for multi-source data pulling and fusion.
  • Phenomenon: The model outputs inference results outside the preset range during tool calls, or cannot restrict the model to using only specified data sources. Cause: SOURCE_WEIGHT and ASSOCIATED_RECALL parameters are not configured, and associated fields and data source priority are not set, causing the model to independently call unauthorized data sources.
  • Phenomenon: An access denied prompt is displayed when configuring a third-party data source, and this issue does not occur after switching to other configuration methods. Cause: The API key and access whitelist for the data source are not correctly configured, or the authorized IP range of the corresponding data source is not added to the platform, resulting in interface calls being blocked.

How to confirm the configuration is complete

  • Execute a manual pull task, check whether the pulled fields include all preset coke financing daily report fields, and verify that the unit format meets requirements.
  • View the data source weight configuration panel to confirm that the weight allocation of each source is consistent with the preset rules, with no abnormal adjustments.
  • Initiate a model inference test, check whether the output result binds the margin financing and securities lending balance fields with the standard warehouse receipt fields, and no information from unrelated data sources appears.
  • View the task log to confirm that there are no timeout errors or access denial prompts, and the task execution status is successful.

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.