What this data category looks like
Paper manufacturing category yield and market trend data for financial analysis is sourced from public quotation data from third-party monitoring institutions in the domestic light industry and paper manufacturing sector, ex-factory price announcements from leading domestic paper manufacturing enterprises, and industry valuation data from financial terminals. Data is updated once daily, before 9:00 AM each day, covering all paper product price and valuation information from the previous calendar day. Data documents use structured table format, divided into modules such as corrugated paper, white cardboard, and boxboard paper by paper type. Each module includes fields including statistical date, paper type name, ex-factory tax-included unit price, average market circulation unit price, average raw material wood pulp purchase price, and unit gross profit. All numerical units are yuan per ton.
What constraints do these characteristics impose on deployment and upgrade
Paper manufacturing category data for financial analysis uses multi-paper-type structured tables and updates full datasets daily. This creates three constraints for deployment and upgrade workflows:
- Accurate parsing of multi-module tables is required. Merged cells must not cause field identification misalignment. Configure table parsing header matching rules.
- Match the daily update schedule. Set a reasonable parsing timeout threshold to avoid full daily data parsing timing out and missing the financial analysis pre-delivery window.
- Ensure scheduled synchronization tasks remain uninterrupted during upgrades. This prevents missing the daily data update window. Maintain compatibility between old parsing rules and new data formats during transition to avoid disrupting financial terminal synchronization links.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Full daily paper manufacturing category report data includes multi-paper-type tables. Parsing takes longer than standard categories. The default timeout does not cover the full parsing process |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Full daily paper manufacturing category report data files are larger than single-category reports. Relax upload limits to support complete data import |
SYNC_DATA_CRON | 0 8 * * * | Complete daily data updates must be finished before 9:00 AM daily. Starting the sync task 1 hour early reserves time for exception handling, matching financial analysis delivery requirements |
SIMILARITY_THRESHOLD | 0.72–0.78 | Paper manufacturing data fields are mostly standardized numerical text. This range filters low-correlation recall results and improves retrieval accuracy |
VECTOR_STORE_BATCH_SIZE | 64 | Single paper manufacturing data entry includes multiple fields. Too large a batch triggers vector storage interface timeouts. 64 balances storage efficiency and stability |
UPGRADE_ROLLBACK_ENABLE | Enabled | Paper daily report data updates have no interruption window. Quickly roll back to the previous version if an upgrade error occurs to maintain normal financial analysis workflow |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: After upgrading to version 4.8.21, thinking process output is enabled in configuration, but returned results still include
<think></think>tags with no displayed thinking content. Cause: Front-end static resource packages were not updated synchronously. Only the back-end service image was replaced. The thinking process rendering logic does not take effect. - Issue: After private deployment, large model inference speed is significantly lower than official platform levels, and occasional timeout errors occur. Cause: The
GPU_MEMORY_ALLOCparameter was not configured to limit video memory usage, causing video memory overflow during multiple concurrent requests. ThemaxContextparameter was not adjusted based on paper manufacturing data volume, leading to overly long contexts that trigger inference timeouts. - Issue: Multiple paper type unit price fields are identified as empty when parsing daily paper manufacturing report data. Cause: The
PARSE_TABLE_HEADER_MATCHparameter was not configured to specify header keywords, causing header identification misalignment from merged cells and making it impossible to match corresponding fields.
How to confirm configurations are set correctly
- Manually upload a test daily paper manufacturing report data file. Check if parsed fields fully match preset paper type, unit price, and other information.
- Trigger a scheduled synchronization task. Check task logs for no timeout errors and that data has been synchronized to the vector store.
- Submit a query asking for paper manufacturing prices or unit gross profit. Check if returned result recall fragments include correct field content.
- Simulate a version upgrade workflow. Verify that the rollback function can be triggered normally and that synchronization tasks are not interrupted.
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.