What this category’s data looks like
Paper industry investment research data mainly comes from public reports released by the China Paper Industry Association, regular financial reports of listed paper enterprises, data from spot and futures trading platforms for wood pulp and waste paper, and public emission monitoring information from environmental protection departments. The data update frequency covers three categories: daily (raw material prices), monthly (industry supply and demand statistics), and quarterly (enterprise financial reports). Most document structures combine structured tables and paragraph descriptions, including fields such as raw material category, inventory scale, production capacity scale, and unit production cost. Common units are yuan/ton, ten thousand tons, and ten thousand tons/year.
What constraints these characteristics impose on conversation logs and auditing
Daily updated raw material price data generates high-frequency conversation queries. Conversation logs must retain complete query timestamps and data version association information to avoid data traceability deviations during audits. Structured data from multiple sources needs to record data reference source fields in logs, to distinguish different data calibers between public reports and enterprise financial reports. Low-frequency but high-weight quarterly financial report data requires logs to retain complete context association records, to prevent missing key decision-making basis during audits. Fields with different units need to have their units marked synchronously in logs, to avoid confusion of cross-category data. Most conversations for paper industry investment research involve specific paper grades. Logs need to record the query keywords of specific paper grades, to facilitate subsequent audit positioning of the analysis process for specific categories.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 90 days | The regular audit cycle for paper industry investment research covers quarterly and semi-annual periods. 90 days meets the log retention requirements for routine audits |
LOG_EXPORT_FORMAT | JSON + CSV dual format | CSV format is suitable for batch filtering in structured audits, while JSON format can fully retain conversation context and data association information |
QUERY_CONTEXT_MAX_LENGTH | 800–1200 characters | Paper industry investment research conversations often include long keywords such as specific paper grades and raw material categories. This length can fully record query context |
LOG_AUDIT_TAG_FIELD | paper_type, raw_material, query_source | The core audit dimensions for paper industry investment research are paper grade, raw material source, and data reference source. Automatically tagging these fields simplifies audit positioning |
LOG_AUTO_DELETE_SWITCH | Disabled | Complete audit logs must be retained in local deployment scenarios, to avoid missing audit basis caused by automatic deletion |
SHARED_LINK_LOG_ENABLE | Enabled | Usage records of login-free shared links need to be included in the audit scope, to facilitate tracking of Q&A behavior from external accesses |
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 specific analysis, and it is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Phenomenon: Conversation logs are automatically cleared 7 days after deployment. Cause: The
LOG_AUTO_DELETE_SWITCHconfiguration item is not disabled, and the default automatic deletion rule is enabled. - Phenomenon: Q&A records for login-free shared links cannot be viewed. Cause: The
SHARED_LINK_LOG_ENABLEconfiguration item is not enabled, and the log recording function for shared links is not turned on. - Phenomenon: The annotation fields in conversation logs cannot be associated with specific paper grade data. Cause: Core audit fields such as
paper_typeare not configured inLOG_AUDIT_TAG_FIELD, resulting in annotations that cannot match actual query content.
How to verify the configuration is complete
- Check the status of
LOG_AUTO_DELETE_SWITCHon the system settings page, to confirm whether it meets the retention requirements of the deployment scenario. - Generate a login-free shared link, initiate a test Q&A, and check whether the background log list contains the complete record of this Q&A.
- After configuring
LOG_AUDIT_TAG_FIELD, initiate a test query containing paper grade and raw material keywords, and check whether the corresponding fields are automatically tagged in the log details page. - Try to export conversation logs, and confirm that the export format includes the preset dual format options.
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.