What this category’s data looks like
Data for semiconductor yield and market daily reports comes from public securities market industry sector market data APIs. It pushes real-time snapshots every 5 minutes during trading days, and generates a complete daily summary document after market close.
The document uses trade date as the core index. It includes fields such as sector code, sector name, opening price, closing price, daily highest price, daily lowest price, trading volume, transaction amount, price change range, and turnover rate.
Price-related fields use Renminbi yuan as the unit. Trading volume uses shares as the unit. Transaction amount uses Renminbi yuan as the unit. The quantified value of price change range uses basis points as the unit. Turnover rate uses standardized quantified data, and does not use percentage as the unit.
Constraints during deployment and upgrade
These characteristics impose clear constraints during deployment and upgrade. The high-frequency real-time snapshot update cadence requires configuring concurrency thresholds tuned for high-frequency pulling. This prevents data packet loss due to insufficient concurrency. The requirement to generate summary documents in batches after market close requires reserving sufficient computing resource quotas. This prevents data processing timeouts. The structure with multiple fields and differentiated units requires configuring flexibly adjustable field mapping rules during data parsing. This avoids unit conversion errors. Rules for public data source APIs may change. The upgrade process must reserve configuration entry points for API adaptation. This supports quick adjustments to pulling parameters. The adjustment frequency of constituent stocks in semiconductor sectors is higher than that of most general industry sectors. Deployment must configure a dynamic update mechanism for constituent stock lists. This ensures accurate coverage of daily report data.
How to set configuration parameters
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DATA_FETCH_INTERVAL | 300 seconds | Matches the update frequency of semiconductor market real-time snapshots. Balances resource usage and data timeliness |
MAX_CONCURRENT_FETCH | 5–10 | Adapts to rate limiting rules of public data sources. Prevents triggering API bans |
DATA_PROCESS_TIMEOUT | 600 seconds | Covers the standard processing duration of post-market batch summary documents. Prevents task interruptions |
PARSE_FIELD_MAPPING | Configure based on the correspondence between fields returned by the data source and locally preset fields | Adapts to the multi-field structure of semiconductor market data. Avoids parsing errors |
COMPONENT_STOCK_UPDATE_CRON | 0 0 2 * * * | Matches the standard adjustment cycle of semiconductor sector constituent stocks. Ensures timely list updates |
HEALTH_CHECK_INTERVAL | 60 seconds | Matches the timeliness requirements of real-time data. Detects pulling failures promptly |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Analyze specific issues individually. It is recommended to test on your own samples before finalizing settings.
Three common configuration mistakes
- Symptom: Slow response when executing daily report generation tasks after deployment with Docker.
ETIMEDOUTerrors appear in logs. Cause: TheMAX_CONCURRENT_FETCHparameter is not adjusted. Concurrent pulling requests exceed server carrying capacity. - Symptom:
404 Not Founderrors are returned when calling embedding models. Cause: TheONEAPI_API_BASEandMODEL_NAMEparameters are not configured correctly. The model address or name does not match the actual deployed instance. - Symptom: Multiple duplicate daily report documents are generated for the same trading day during multi-node cluster deployment. Cause: Distributed task locks are not configured. Multiple nodes trigger scheduled summary tasks simultaneously.
How to confirm correct configuration
- Manually trigger a real-time data pulling task. Verify that pulled fields match the correspondence configured in
PARSE_FIELD_MAPPING. - Check health check logs. Confirm no consecutive pulling failures occur within the
HEALTH_CHECK_INTERVALcycle. - Run a post-market summary simulation task. Confirm the task completes within the duration set by
DATA_PROCESS_TIMEOUT. - Call the custom model interface. Confirm returned results match the preset field format.
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.