What the data for this category looks like
Chemical fiber industry investment research data mainly comes from upstream petrochemical intermediate quotes, monthly supply and demand ledgers from the China Chemical Fiber Industry Association, periodic reports of listed companies, and real-time quotes from spot trading platforms. Data update frequencies fall into three categories: spot prices are updated real-time per trading day, industry supply and demand reports are released monthly, and listed company financial reports are updated quarterly. Single document lengths vary widely: research reports can reach tens of thousands of characters, while spot quote sheets only have hundreds of characters. Core document fields include product category, fineness unit dtex, price in yuan/ton, production capacity in ten thousand tons, production process parameters, and other key information.
Constraints on conversation logging and auditing
The multiple update frequencies, varied document lengths, standardized fields and multi-source nature of chemical fiber investment research data create multiple constraints for the conversation logging and auditing link. Real-time updated spot data requires logs to associate conversation initiation time with the corresponding data source version to avoid referencing expired information. The size difference between long research reports and short quote sheets requires logs to fully record recalled document fragments and citation positions to prevent truncation of critical parameters. Fixed unit fields such as dtex and price in yuan/ton require auditing to verify that quoted units match data sources to prevent unit discrepancies. For scenarios with overlapping multi-source data, logs must retain the data source origin and update time for each call to support backtracking of investment research conclusions.
How to configure
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 90 days | Covers at least one full financial reporting cycle to meet audit backtracking needs for quarterly-level investment research conclusions |
MAX_LOG_CHARACTERS_PER_SESSION | 20000 characters | Adapts to the varied lengths of chemical fiber research reports and quote sheets to fully record conversations and cited document fragments |
DATA_SOURCE_VERSION_TRACKING | Enabled | Links conversation initiation time and corresponding data source version to avoid referencing expired spot or financial data |
LOG_FIELD_VALIDATION_ENABLE | Enabled | Verifies that quoted units for fields such as fineness dtex and price in yuan/ton match data sources to prevent deviations in investment research parameters |
AUDIT_LOG_EXPORT_FORMAT | JSON + CSV dual format | Balances programmatic parsing and manual auditing archiving needs to adapt to different compliance scenarios |
LOG_ERROR_STACK_TRACE | Enabled | Retains stack information for document parsing or call exceptions to quickly locate issues with investment research data calls |
The parameter values provided on this page are common recommendations used as 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 on your own samples before finalizing settings.
Three common mistakes
- Phenomenon: After setting
LOG_STORAGE_TYPEto MongoDB, no conversation history can be queried in the corresponding database collection. Cause: TheLOG_PERSISTENCE_ENABLEswitch is not enabled, or the read/write permissions of the MongoDB connection string are not configured. - Phenomenon: After launching an investment research conversation, cited chemical fiber product parameters and corresponding units are not recorded in the logs. Cause: The
LOG_FIELD_RECORD_ENABLEswitch is not enabled, or the configured recall fields do not cover core investment research information such as dtex and price. - Phenomenon: After uploading a chemical fiber process document, the log shows upload successful, but the document content cannot be called during conversations. Cause:
PARSE_FILE_TIMEOUT_SECONDSis not configured to a value adapted to long documents, or the document format does not meet system parsing rules.
How to confirm the configuration is complete
- Enter the log management module, select any investment research session, and verify that the log retains conversation initiation time, associated data source version, cited chemical fiber product parameters and corresponding units.
- Trigger the audit log export operation, confirm that the exported file contains the preset field list and matches the configured format requirements.
- Launch a conversation involving multi-source data calls, check that the log fully records the origin and update time of each piece of data.
- Verify the read/write permissions of the MongoDB connection configuration, confirm that log data can be properly written to the specified database collection.
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.