What the data for this category looks like
Carbon steel intelligent due diligence reports are core documents for financial institutions conducting credit and wealth management due diligence on steel production enterprises. Data sources include internal production ledgers of steel mills, batch inspection reports from third-party quality inspection institutions, supply and demand monitoring data from industry associations, and customs import and export clearance data. Update cadences are as follows: production line operation data is synced hourly, batch quality inspection reports are updated with each production batch, and industry macro data is updated weekly. Document structure includes basic information module, production operation module, quality inspection module, upstream and downstream transaction module, and compliance filing module. Fields include production capacity (unit: 10,000 tons/year), average daily output (unit: tons), tensile strength (unit: MPa), yield strength (unit: MPa), elongation (unit: %), etc. Some fields must follow the naming specifications of the national standard GB/T 700 series.
What constraints do these characteristics impose on deployment and upgrade
The multi-source, heterogeneous nature of carbon steel data requires configuring data source access modules compatible with different protocols during deployment. These modules must support direct intranet connections to steel mill ledgers and quality inspection system interfaces. Single batch quality inspection reports are lengthy, and individual documents have large data sizes. This increases memory usage and processing time during file parsing. Sufficient operating resources must be reserved during deployment in advance. Fields must strictly follow national standard naming specifications. A standardized field mapping template must be preset during deployment. During upgrades, compatibility with existing mapping configurations must be maintained to avoid breaking already adapted field rules due to version updates. The update cadences of different data sources vary significantly. Incremental sync trigger rules must be set during configuration to avoid excessive server resource usage from full syncs. During upgrades, the adaptation logic for sync rules must be updated synchronously.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single carbon steel batch quality inspection reports may exceed 500 pages. Standard timeout durations are insufficient to complete full parsing |
UPLOAD_FILE_MAX_SIZE | 2000 MB | Collections of carbon steel due diligence reports can reach 1.5 GB in individual volume. This setting must accommodate large file upload requirements |
RECALL_TOP_N | Top 8 entries | Carbon steel data has many fields with close correlations. A sufficient number of context entries must be recalled to support report generation |
SIMILARITY_THRESHOLD | 0.75–0.85 | Low-correlation industry data must be filtered, while retaining matching results for same-category detailed parameters |
ALLOW_INTRANET_DATA_SOURCE | Enabled | Most carbon steel production data is stored in enterprise intranet systems. Direct connections to intranet data source interfaces must be supported |
SYNC_INCREMENTAL_INTERVAL | 3600 seconds | Carbon steel production line operation data is updated hourly. Incremental sync must match this update cadence |
The parameter values provided on this page are general recommendations to serve as a starting point for configuration. Actual values are affected by material form, 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
- Symptom: Unable to access intranet data source interfaces after Docker deployment. Logs return
403 Forbidden. Cause: TheALLOW_INTRANET_DATA_SOURCEconfiguration item is not enabled. The system blocks intranet requests by default. - Symptom: File upload fails during conversation, but file upload to the knowledge base works normally. Cause:
UPLOAD_FILE_MAX_SIZEis not configured to accommodate large files, or file upload permissions for the conversation scenario are not configured separately from knowledge base permissions. - Symptom: Cannot find the plugin placement path after deployment, unable to import developed plugins. Cause: No
pluginssubfolder is created in the container mount directory, or the correct plugin storage path is not specified via the environment variablePLUGIN_DIR.
How to confirm configurations are correct
- Execute a test request to the intranet data source interface, confirm normal data is returned, and verify the configuration status of
ALLOW_INTRANET_DATA_SOURCE. - Upload a single collection of carbon steel quality inspection reports, confirm parsing completes without timeout errors, and verify that
PARSE_FILE_TIMEOUT_SECONDSmatches document processing requirements. - Initiate a conversation and upload a file, confirm the file can be read normally and corresponding content is generated, and verify file upload permission configurations for the conversation scenario.
- Check incremental sync logs, confirm production line data sync is completed at the preset interval, and verify the configuration value of
SYNC_INCREMENTAL_INTERVAL.
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.