What this category of data looks like
Energy metals data comes primarily from spot quotes on the London Metal Exchange and Shanghai Futures Exchange, monthly supply and demand reports from the national nonferrous metals industry association, and public financial reports from upstream mining and midstream smelting enterprises. Update cadence falls into three categories: daily spot prices, quarterly financial reports, monthly industry reports. Document structures include standardized quotation sheets (with product, origin, grade, price, price change range), industrial chain supply and demand balance sheets, and technical parameter charts. Core fields include lithium carbonate equivalent, concentrate grade, trading units (USD/dry tonne, CNY/tonne) and other professional attributes.
What constraints do these characteristics impose on dialogue logging and auditing
The multiple update frequencies of energy metals data require logs to record the data source timestamp for each call. This prevents investment research conclusions from being affected by expired quotes or financial reports. The diversity of professional fields and units requires the audit link to verify field matching. This avoids errors caused by unit confusion. Long-form supply and demand balance sheet documents require logs to fully record the range of recalled document fragments. This prevents critical data from being truncated. Additionally, energy metals investment research involves compliance disclosure requirements. Audits must retain parameter configurations for all conversations to meet traceability needs for regulatory inspections.
Configuration settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 180 days | Energy metals investment research data needs to cover the audit cycle of quarterly financial reports and monthly reports. 180 days meets industry regulatory retention requirements |
RECALL_TOP_N | Top 8–12 entries | Energy metals documents are mostly long-form supply and demand tables. Too many recalled entries increase log storage costs. Too few fail to cover complete industrial chain data |
SIMILARITY_THRESHOLD | 0.75–0.85 | Professional term matching requires high precision. A threshold that is too low introduces irrelevant general industry data. A threshold that is too high omits niche reports for specific product categories |
PARSE_MAX_LENGTH | 800–1200 characters | Energy metals supply and demand balance sheets have long single-segment data. A value that is too long causes redundant log records. A value that is too short truncates critical fields |
audit_field_whitelist | ["product name", "origin", "price", "unit", "update time"] | Audits need to verify core trading fields. Avoid recording unnecessary redundant data, and meet regulatory disclosure requirements |
PLUGIN_DEBUG_LOG_ENABLE | Enabled | Custom plugin calls need to fully record input and output parameters to troubleshoot anomalies in energy metals data matching |
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. It is recommended to test against your own samples before finalizing.
Three common configuration errors
- After adding a custom plugin to the workflow, no input or output parameters are displayed. The cause is that the
PLUGIN_DEBUG_LOG_ENABLEswitch is not enabled, and plugin parameters are not included in the audit log whitelist. - The copy button in dialogue logs does not function. The cause is that event binding for the log copy function is not enabled in the front-end configuration, resulting in interactive failure.
- The system page fails to load after showing an indefinite spinner. The cause is that
LOG_RETENTION_DAYSis set too high, and automatic log cleanup is not enabled. This causes timeouts when loading historical data.
How to confirm configurations are correctly set
- Navigate to the system log page, view investment research dialogue logs from the past 1 day. Confirm that each log includes core fields such as product name, origin, price, unit, update time.
- Call the custom plugin to match energy metals data, view workflow logs. Confirm that input and output parameters are fully recorded.
- Adjust the
SIMILARITY_THRESHOLDparameter, initiate a dialogue. Verify that the currently used threshold parameter is correctly recorded in the log. - Check the
LOG_RETENTION_DAYSconfiguration. Confirm that dialogue logs older than 180 days have been automatically cleaned up or archived.
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.