What the data for this category looks like
Iron ore market data is sourced from trading data for iron ore futures contracts on domestic commodity futures exchanges. Full daily data updates are completed within 1 hour after market close each trading day; no new data is added on non-trading days. The data is provided as a structured single-commodity daily report, including fields such as contract code, product name, daily settlement price, daily transaction average price, daily trading volume, total open interest, base period price, and more. Price-related fields use the unit yuan/ton, while trading volume and open interest are measured in trading lots.
Constraints imposed by these characteristics on conversation logging and auditing
The daily update schedule for iron ore data requires that conversation logs must accurately align with trading day dimensions, and invalid calls on non-trading days must be filtered during audits. The structured single-commodity daily report structure requires that logs must fully record request parameters such as contract code and data dimension to avoid confusion across different product data. The fixed unit rules require that the audit phase must verify the unit consistency of returned data to prevent log anomalies caused by unit conversion errors. Additionally, the 1-hour post-close update window requires that conversation logs must record the timestamp of data requests, to verify whether requests were initiated after data updates were completed, avoiding retrieval of outdated, unupdated data.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
AUDIT_LOG_RETENTION_DAYS | 90 days | Commodity industry audit compliance requirements mandate retaining 90 days of conversation and call logs, matching the regulatory audit cycle for iron ore futures trading |
LOG_RECORD_REQUEST_PARAMS | Enabled, record contract code, request timestamp, data type | Iron ore data must be traceable by contract and time dimensions to ensure accurate matching of corresponding market data during audits |
LOG_RESPONSE_FIELD_VALIDATION | Enabled, verify unit consistency for yuan/ton and trading lots | Fixed unit requirements for iron ore data prevent audit failures caused by unit anomalies in logs |
DATA_REQUEST_TIMEOUT | 30 seconds | The iron ore market data update window is within 1 hour; timeout retries prevent request failure logs caused by unsynchronized data |
LOG_FILTER_NON_TRADING_DAY | Enabled, filter invalid request logs from non-trading days | Iron ore data is only updated on trading days; requests on non-trading days are invalid calls and must be excluded from audit logs |
MAX_LOG_ENTRY_SIZE | 800–1200 characters | The structured data for iron ore daily reports has a moderate length; limiting log entry size prevents storage overflow |
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 case-by-case analysis, and it is recommended to test against your own samples before finalizing settings.
Three Common Configuration Errors
- Scenario: After configuring a valid access token, the conversation log still shows the token as
fastgpt, and the chat interface throws an error. Cause: The default FastGPT token configuration was not replaced with a business-specific token, resulting in the log recording the built-in default value. - Scenario: Audit logs show a large number of iron ore market data requests during non-trading hours such as early morning, with abnormal account balance consumption. Cause: The
LOG_FILTER_NON_TRADING_DAYconfiguration was not enabled, and invalid requests from non-trading days were not filtered, resulting in malicious or accidentally triggered calls not being blocked. - Scenario: When attempting to train a model using conversation logs, valid market data cannot be extracted. Cause: The
LOG_RECORD_REQUEST_PARAMSconfiguration was not enabled, and the log did not record the request's contract code and data dimension, resulting in training data lacking valid identifiers.
How to Confirm Proper Configuration
- Initiate an iron ore market data request during a valid trading day window, verify that the log fully records the request's contract code, timestamp, and response data fields.
- Initiate any request on a non-trading day, confirm that the system automatically excludes the log for this request from the audit list.
- Log in to the audit log management interface, verify that the retention duration matches the value set for the
AUDIT_LOG_RETENTION_DAYSconfiguration item. - Construct a simulated response containing non-standard units, confirm that the system triggers a field validation prompt.
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.