What Data for This Category Looks Like
Data related to precious metal yields comes primarily from compliant precious metal exchange market APIs and public industry quote sources. Updates follow two cadences: high-frequency intraday snapshots and daily closing summaries. Each data entry includes fields such as product identifier, benchmark price, fluctuation benchmark value, daily fluctuation range, trading volume, and open position count. Units follow standards including gram, ounce, Chinese yuan, US dollar, and others. Some cross-market data requires currency conversion to standardize formatting.
Constraints for Database and Operations Workflows
High-frequency writing from real-time snapshots creates database write load. Adjust write batch sizes and indexing strategies to mitigate this. Cross-market pricing unit conversion requires database fields to store both original pricing units and converted benchmark values, to avoid unit mismatch errors during queries. Scheduled daily closing summary sync tasks need fixed trigger windows. Add a data validation step to complete data interrupted abnormally for the current day. Create joint indexes for multi-product identifier fields to speed up multi-dimensional queries.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
MONGODB_URI | mongodb://[username]:[password]@[host]:[port]/fastgpt_gold?authSource=admin | Follows standard MongoDB connection format, specifies a dedicated database to avoid data mixing |
DB_WRITE_BATCH_SIZE | 50–100 records/batch | Matches the write cadence of precious metal high-frequency snapshots, reduces database load from single write operations |
SYNC_TASK_CRON | 0 15 16 * * * | Aligns with the 15-minute post-closing window for domestic precious metal markets, ensures complete data synchronization |
INDEX_EXPIRY_DAYS | 365 days | Retains 1 year of market history data for analysis, automatically cleans expired data to save storage space |
DB_CONNECTION_TIMEOUT | 30 seconds | Addresses network latency during cross-market data synchronization, prevents task failure from interrupted connections |
PARSE_FIELD_UNIT | Automatically convert to Chinese yuan/gram | Unifies pricing units for internal queries, simplifies format handling for front-end display and tool calls |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: FastGPT starts and throws a
MongoConnectionErroralert, unable to load market data. Cause: Locally deployed MongoDB has not opened the corresponding port, or authentication information and dedicated database name are not correctly configured inMONGODB_URI. - Issue: Precious metal data fields returned by tool calls are empty or have inconsistent pricing units. Cause: The
PARSE_FIELD_UNITparameter is not configured, and cross-market data is not processed for unified units, leading to inconsistent query result formats. - Issue: Database sync tasks fail after cross-version upgrade, and some historical data is lost. Cause: The original service was not stopped when directly migrating the database directory, leading to interrupted and corrupted data file writes, and no backup of the original version database snapshot was performed before the upgrade.
How to Verify Proper Configuration
- Run a database connection test script to check if benchmark fields for precious metal products can be read normally, and confirm the correctness of connection configurations.
- Trigger the scheduled sync task to check if daily closing summary data entries are generated in the database, and verify that the sync window and task logic align.
- Run a multi-product joint query to check if returned data uses unified pricing units, and confirm that the unit conversion configuration is active.
- Check database index status to confirm that joint indexes for multi-product identifier fields have been created, and validate that query response efficiency meets expected standards.
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.