What Data for This Category Looks Like
Chemical fiber market data primarily comes from public reports released by domestic chemical fiber industry associations, quoted prices from bulk commodity spot trading platforms, and settlement data from futures exchanges. Core spot and futures market data updates daily. Industry operating rates and inventory data update weekly. Each data document includes the major product category name, spot quotation, futures settlement price, upstream-downstream price spread, monthly operating rate, and total ending inventory. Units are uniformly yuan/ton and ten thousand tons, with no additional percentage-based units. Data documents are archived by product category. Each document contains a daily summary of all category market trends and detailed breakdowns for individual products.
Constraints on Conversation Logging and Auditing
Daily updated market data requires conversation logs to accurately match timestamps. During audits, verify that each log’s time range aligns with the data release cycle to prevent mixing cross-day data. The multi-field document structure requires logs to bind product names to their corresponding market data fields. During audits, check that product names match price, spread, and other fields to avoid mixing data across different products. The multi-data-source nature requires logs to record data source tags. Auditors can trace back to the original platform and release time to ensure data compliance. The differing update cadences between weekly industry data and daily market data require logs to use distinct type markers for each data category, preventing confusion between statistical cycles during audits.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 90 days | Chemical fiber industry market audits require coverage of a full quarterly cycle, which meets industry compliance requirements |
AUDIT_FIELD_MATCH_RULE | Bind corresponding market fields by product | Multiple sub-categories exist within the chemical fiber industry, so cross-product field association errors must be avoided to ensure audit data accuracy |
DATA_SOURCE_MARK_ENABLE | Enabled | Chemical fiber data comes from multiple platforms, so marking original data sources in logs enables traceable audits |
MAX_LOG_QUERY_TIME_RANGE | 7 days | Audit queries for daily market data use a weekly cycle as a reasonable period, preventing lag caused by loading overly long time ranges |
LOG_ERROR_STACK_ENABLE | Enabled | Full error stack records are required when parsing or calling market data fails, to facilitate troubleshooting exceptions |
PARSE_CHEMICAL_DATA_STRICT | Enabled | Chemical fiber data has strict field associations, so strict validation of field formats is required to prevent invalid data from being written to logs |
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 individual analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Configuration Mistakes
- Calling the market data parsing API returns
cannot read properties of undefined (reading 'price'), and no corresponding field record appears in the logs. Cause: ThePARSE_CHEMICAL_DATA_STRICTconfiguration is not enabled, causing chemical fiber data with missing price fields to be written to logs, triggering a null pointer exception. - After uploading industry weekly report data, the conversation window cannot call the data for statistics, and no parsed record of the uploaded file appears in the logs. Cause: The
DATA_SOURCE_MARK_ENABLEconfiguration is not enabled, so uploaded data is not marked as an auditable data source and is not included in the conversation context. - Calling the multimodal market chart API returns
400 invalid image, and the image parameter field is empty in the conversation logs. Cause:LOG_ERROR_STACK_ENABLEis not properly configured, so logs for image format validation failures are not captured, making it impossible to locate the missing parameter issue.
How to Verify Correct Configuration
- Log in to the system backend’s logging configuration page, and verify that the value of
LOG_RETENTION_DAYSmeets the preset audit cycle requirements. - Import a test chemical fiber market data entry, and check that the logs correctly mark the data source and bind the corresponding product and market data fields.
- Trigger a market data parsing error, and check that the logs fully record the error stack information and corresponding call parameters.
- After uploading an industry document, call the document’s content in the conversation window, and check that the logs include parsed records and context call records for the uploaded file.
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.