What the data for this category looks like
Data sources for energy metals intelligent due diligence reports include domestic futures exchange market data, spot quotes from third-party industry information platforms, customs general administration import and export clearance data, and public production capacity disclosures from mining enterprises.
Update cycles follow multiple tiers. Spot quotes are updated per trading day. Futures market data is pushed in real time. Monthly production capacity and inventory reports are released according to the natural month.
Most documents are structured tables and semi-structured analysis content. They contain fields such as product identifier, origin information, grade parameters, transaction price, inventory scale, and compliance approval status. Supported units include yuan/ton, ton, thousand cubic meters, and others.
Constraints imposed on deployment and upgrade by these characteristics
The multi-source and layered update characteristics of energy metals data impose multiple constraints on deployment and upgrade workflows.
Synchronization of multiple data sources requires configuring differentiated pull strategies. Real-time market data requires shortening polling intervals. Monthly reports need to match the execution cycle of scheduled tasks.
Structured fields are abundant and have diverse units. Precise field mapping rules must be configured in the vector database to avoid index failure.
Document volume varies widely, from spot quotes as small as several KB to industry reports as large as tens of MB. File parsing timeout and size limits must be adjusted accordingly.
For offline deployment scenarios, third-party data source dependency packages must be cached in advance to prevent external resources from failing to pull when the image starts.
Version upgrades must be compatible with old data source interface formats to prevent data synchronization interruptions.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Energy metals due diligence reports contain long-text analysis content, requiring sufficient parsing time |
UPLOAD_FILE_MAX_SIZE | 2048 MB | Monthly industry reports, inventory ledgers and other documents have large volumes, requiring adaptation to data scale |
RECALL_COUNT | Top 8 entries | Energy metals categories have high density of professional terminology, requiring recall of sufficient associated content to support due diligence analysis |
SIMILARITY_THRESHOLD | 0.72–0.78 | Filter low-relevance search results, matching the search accuracy requirements of professional scenarios |
DATA_SYNC_CRON | "0 0 2 * * *" | Monthly reports are updated according to the natural month, executing synchronization in the early morning avoids occupying resources during business peaks |
OFFLINE_DEPLOY_CACHE_DIR | /data/fastgpt_offline_cache | Offline environments require pre-caching third-party data source dependency packages to avoid pull failures during image startup |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common mistakes
- Issue: When deploying in an offline environment, the
aiproxy_pgimage fails to start, and logs show that external resources cannot be pulled. Cause: Third-party data source dependency packages were not cached in an online environment in advance, and direct image copying failed to complete initialization verification. - Issue: After cross-major version upgrade, data source synchronization tasks cannot execute normally, and due diligence report data updates are interrupted. Cause: Upgrade was not performed step-by-step according to version iteration instructions, and multiple major versions were skipped directly, resulting in incompatibility between old interfaces and the new system.
- Issue: After upgrading to version 4.9.10, the prompt editing interface and global variable configuration items only display a small number of options, and original configuration entries cannot be recalled. Cause: The old version configuration mapping file was not imported after upgrade, or the backend switch for the corresponding function was not enabled, resulting in missing configuration items in front-end rendering.
How to confirm configurations are properly set
- Upload a typical energy metals monthly due diligence report, and check whether the file parsing status shows completed, with no timeout or format error prompts.
- Manually trigger a data source synchronization task, and check whether the synchronization logs pull the latest data of the corresponding category, with no connection error messages.
- Enter the prompt and global variable configuration interface, and confirm that all preset configuration entries load normally, with no missing or abnormal displays.
- Check container running logs, and confirm that the initialization process of the
aiproxy_pgimage has no errors, and port listening status is normal.
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.