What This Category's Data Looks Like
In software development scenarios, yield and market data primarily originates from public securities market APIs, trading settlement systems, and third-party financial data service providers. Data update cadence falls into two categories: real-time market snapshots are updated at minute or second intervals. Daily yield summary data is updated after each trading day closes. Each data entry includes core fields such as asset code, product name, daily yield, daily trading volume, settlement price, and additional relevant fields. Field units are fixed: yield uses percentage as the unit, trading prices use yuan, and trading volume uses shares.
Constraints Imposed on HTTP Interfaces and External Systems
Because data updates have clear time windows, scheduled pull tasks for external systems must match the trading day settlement rhythm. Avoid sending requests before market close to prevent incomplete data. Structured data with multiple fields requires API requests to support field filtering, reducing invalid data transmission volume. The sensitivity of financial data requires strict authentication rules for API calls, while limiting trusted call sources. Differences in update cadence between real-time market data and daily report data require distinct call frequency configurations, avoiding excessive calls that trigger rate limits from data sources.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
request_timeout | 30 seconds | Financial data source APIs typically respond quickly. A longer timeout will block daily report generation workflows |
retry_count | 3 times | Financial APIs may experience occasional network fluctuations. Retries reduce the risk of single-call failure |
whitelist_domains | ["api.finance-data.com", "api.trade-system.com"] | Restrict calls to trusted data sources, preventing unauthorized external requests |
sync_cron | "17:30 daily" | Matches the settlement completion window after domestic A-share market close to retrieve complete daily data |
field_whitelist | ["symbol", "product_name", "daily_return", "closing_price"] | Only extract core fields required for the daily report, reducing data transmission overhead |
auth_method | "api_key" | Aligns with authentication standards for most financial data sources, with simple configuration and adequate security |
The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by data volume, business rules, and deployment environment. Specific scenarios require individual analysis. It is recommended to test against your own samples before finalizing settings.
Three Common Configuration Mistakes
- Phenomenon: After calling the API, chat records from different users are not isolated, resulting in cross-user data leaks. Cause: The
user_idparameter is not included in API requests to bind conversation context, and the system does not isolate requests from different users. - Phenomenon: Configured external data source connections fail to display normally after system updates. Cause: The data source domain name is not added to the
whitelist_domainsconfiguration item, and the system automatically blocks unauthorized connection addresses. - Phenomenon: In version 4.9.0, Embedding model calls return the error
Host '10.100.3.144' is not allowedwith status code 403. Cause: The internal IP segment where the Embedding service is deployed is not added to the external interface whitelist configuration item, causing requests to be blocked.
How to Verify Correct Configuration
- Perform a manually triggered external data pull, and confirm that the returned result fields exactly match the content configured in
field_whitelist. - Check system operation logs to confirm that the API request timeout duration and retry count match the configured settings.
- Submit API call requests from two different users, and confirm that their respective conversation contexts do not cross over.
- Wait for one full trading cycle to verify that the scheduled synchronization task executes as planned and retrieves valid data.
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.