Model Integration and Configuration for Iron Ore Yield Rates

Iron ore yield-related data primarily comes from domestic commodity futures exchanges and industry spot quotation channels. Data updates cover daytime

What the Data for This Category Looks Like

Iron ore yield-related data primarily comes from domestic commodity futures exchanges and industry spot quotation channels. Data updates cover daytime trading sessions and night trading sessions. Real-time market quotes are pushed every 5 minutes, and complete daily settlement reports are generated after market close. The document structure includes fields such as contract identifier, delivery grade, origin information, daily opening price, closing price, settlement price, price change amount, open interest, trading volume, and more. Units are uniformly yuan per wet metric ton. Derived yield data will note the benchmark cycle used for its calculation.

Constraints on Model Integration and Configuration

The high-frequency updates and specific data structure of the iron ore category impose multiple constraints on model integration and configuration. The 5-minute high-frequency market data requires that the polling interval of the access interface be adjusted to match the update rhythm, to avoid data lag. Large daily settlement reports generated after market close require sufficient file parsing timeout settings and chunked upload thresholds. Fields include specific names such as price change amount and open interest, and the unit is fixed as yuan per wet metric ton. Field mapping rules must be configured to ensure matching between values and units. Different futures contracts have varying code rules, so contract whitelist and mapping parameters must be configured to avoid recognition errors. Timestamps for night session data must align with server time, so the local model's default local time reading logic must be disabled.

Configuration Recommendations

Configuration ItemRecommended ValueRationale
apiPollInterval300 secondsMatches the 5-minute update rhythm of iron ore market data to avoid data lag
PARSE_FILE_TIMEOUT_SECONDS600 secondsAdapts to the parsing duration of large daily post-close settlement reports to avoid timeout errors
fieldMappingConfigBind yuan per wet metric ton as the mandatory unit, map settlement price to the settlePrice fieldUnify field identifiers and units recognized by the model to avoid confusion with data from other categories
contractWhitelistOnly allow futures contract codes starting with i to be integratedLimit valid data scope to avoid incorrect recognition of invalid contract codes
timeSyncModeUse server time synchronizationAlign timestamps for night session data to avoid deviations caused by the local model reading local time by default
UPLOAD_FILE_MAX_SIZE200 MBReserve sufficient space for uploading daily post-close settlement report files

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 targeted analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Configuration Errors

  • Phenomenon: The timestamp of market data returned by the model differs from the actual market time by more than 10 minutes. Cause: timeSyncMode is not configured to use server time synchronization, and the local model's default local time reading logic is still used.
  • Phenomenon: A PARSE_FILE_TIMEOUT error is triggered when parsing settlement reports after daily market close. Cause: The configured value of PARSE_FILE_TIMEOUT_SECONDS is lower than 600 seconds, failing to adapt to the parsing duration of large settlement reports.
  • Phenomenon: The unit of iron ore data extracted by the model is "yuan per metric ton" instead of "yuan per wet metric ton". Cause: No unit verification rule is configured in fieldMappingConfig, and the mandatory binding of data units to match the category is not implemented.

How to Verify Successful Configuration

  • Review interface call logs to verify that the interval of polling requests matches the configured apiPollInterval, and that request times align with market update timestamps.
  • Upload the daily iron ore settlement report file, and check that the parsed field names and units match the configured fieldMappingConfig.
  • Trigger a contract data pull task, and confirm that the returned contract codes only include identifiers within the configured contractWhitelist scope.
  • Call the model to generate broadcast content containing timestamps, and verify that the output time matches the server-synchronized time.

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.