What the data for this category looks like
Core data relied on by precious metal marketing content comes from public market quotes and industry information from the Shanghai Gold Exchange, the London Bullion Market Association, and domestic futures exchanges. Market quote data updates in real time or at 10-second intervals, and includes fields such as product code, latest quote, price change, trading volume, and position count. Most quote units are yuan/gram or US dollars/ounce. Industry information documents include policy updates and market analysis reports, updated once daily. Document structure includes fields such as release time, applicable scope, and core viewpoints.
What constraints do these characteristics impose on deployment and upgrade?
The high real-time requirement of precious metal data requires configuring a low-latency data source synchronization link during deployment, to avoid market quote lag in marketing content. The unit differences and field diversity across multiple data sources require completing field standardization and unit conversion configuration before deployment. During upgrades, compatibility with old field mapping rules must be maintained to prevent data parsing failures. The daily updated industry information documents require configuring incremental synchronization tasks during deployment. During upgrades, adaptation to new information classification fields is required to avoid content classification errors. The high-frequency updates of real-time market quotes also require setting a reasonable cache expiration time during deployment, to balance content timeliness and data source request pressure.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
SYNC_DATA_INTERVAL | 10 seconds | Matches the real-time update frequency of precious metal market quote data, ensuring timeliness of marketing content |
PARSE_FIELD_MAPPING | Map product code, latest price, price change, and trading volume from multi-source data to standard fields | Unifies data source formats across different exchanges to meet the field requirements of precious metal marketing content |
UNIT_CONVERSION_RULE | Convert US dollars/ounce to yuan/gram: multiply by the exchange rate 6.9, then divide by 31.1035 | Adapts to common quote units used in domestic marketing scenarios, aligning with user reading habits |
CACHE_EXPIRE_TIME | 60 seconds | Balances the high-frequency update characteristics of precious metal market quotes and data source request pressure |
MONGO_CONNECTION_TIMEOUT | 30 seconds | Avoids database connection failures due to network fluctuations, ensuring deployment stability |
ALLOW_SKIP_MIDDLE_VERSION | Only skip intermediate versions without upgrade scripts | Complies with FastGPT official upgrade specifications, preventing skipping necessary database change steps |
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. It is recommended to test on your own samples before finalizing values.
Three Common Mistakes
- Symptom: For FastGPT deployed via Docker, the MongoDB connection works normally initially, but a
Connection refusederror appears after running for a period of time. Cause: No reasonable database connection timeout and connection pool parameters are configured. Long-idle database connections are not actively released, leading to connection pool exhaustion. - Symptom: After upgrading to version
4.10.1, the front-end interface still displays the version number4.10.0. Cause: Front-end static resources were not fully built and deployed, or the upgrade script did not correctly update the version configuration file. - Symptom: Database field missing errors appear after skipping intermediate versions during cross-version upgrades. Cause: Intermediate versions containing database change scripts were skipped, making the database structure incompatible with subsequent versions.
How to Confirm the Configuration Is Properly Set Up
- Manually trigger a data source synchronization task, and verify that the generated dataset fields match the configured field mapping rules.
- Check system logs to confirm that there are no continuous timeout errors for database connections, and that the connection status remains stable.
- Access the front-end management interface, and verify that the displayed system version matches the target upgrade version.
- Call the data conversion interface to verify that the quote unit conversion results conform to the preset conversion rules.
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.