What Data for This Category Looks Like
Energy metals investment research data primarily comes from industry association public reports, domestic commodity futures exchange market data, operating announcements released by mining and smelting enterprises, and research reports published by third-party commodity investment research institutions. Data updates follow a layered rhythm: spot prices are updated per trading day, monthly supply and demand balance sheets are released monthly, and annual capacity planning and policy documents are updated quarterly or annually. Document structures include structured quotation sheets, semi-structured supply and demand analysis documents, and unstructured research report fragments. Core fields include product name, specification parameters, origin, quotation, and inventory quantity. Common units are yuan/ton, US dollars/dry tonne, and ton.
Constraints Imposed on Deployment and Upgrade by These Characteristics
The layered update rhythm of energy metals investment research data requires configuring multi-cycle incremental data synchronization tasks during deployment. Upgrades must maintain compatibility with older synchronization scripts to avoid data gaps. Multi-unit fields in structured quotation sheets require configuring normalization rules during deployment. Without these rules, retrieved data will have inconsistent units. The coexistence of long-text and short-text research report fragments requires configuring text splitting parameters adapted to different lengths during the parsing link. Upgrades must retain older splitting logic to maintain compatibility with existing data. The low-latency requirement for real-time market data requires reserving sufficient concurrent processing resources during deployment. Upgrades must avoid interrupting the real-time synchronization link.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Some research report documents in the energy metals industry have long lengths, requiring sufficient parsing time |
UPLOAD_FILE_MAX_SIZE | 1000 MB | Some large industry supply and demand report documents have large file sizes, adapting to upload requirements |
Recall Count | Top 8–12 entries | Energy metals investment research data has multiple dimensions, requiring sufficient retrieved entries to cover core analysis information |
Similarity Threshold | 0.75–0.85 | Filter low-correlation unstructured research reports and structured data to ensure retrieval accuracy |
Rerank Return Count | Top 3–5 entries | Focus on core investment research conclusions, avoiding redundant information interfering with analysis |
DB_BACKUP_ENABLE | Enabled | Automatically back up the database before upgrades to prevent data loss |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Errors
- Issue: After upgrading a Docker deployment to version 4.8.20, the
TypeError: Cannot read properties of undefinederror occurs, and the knowledge base interface fails to load. Cause: The older database volume was not mounted during the upgrade, resulting in loss of existing configuration fields. - Issue: A
504timeout error occurs when calling the deepseek model via local Ollama deployment, and investment research results cannot be obtained. Cause: Context window parameters adapted to long-text investment research data were not configured, exceeding the model's default request limits. - Issue: After upgrading, the retrieved structured quotation data has mixed units, with yuan/ton and US dollars/dry tonne appearing together. Cause: Generic category parsing configuration was used directly during deployment, and multi-unit normalization rules for energy metals data were not configured.
How to Verify Proper Configuration
- Upload a typical energy metals spot quotation sheet, check if the parsed fields are complete and units are unified.
- Trigger an incremental synchronization task, confirm that layered updated spot data and policy documents complete synchronization per the preset cycle.
- Call the knowledge base retrieval interface, check that the number of returned results and similarity meet the preset configuration.
- Perform a simulated upgrade backup, confirm that the database backup file is fully generated and can be restored.
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.