What the data for this category looks like
Insurance yield rate data primarily comes from official product settlement announcements released by insurance providers, and official designated information disclosure channels. Different insurance product types have varying update schedules: universal life insurance settlement rates update daily, participating life insurance settlement rates update monthly, and investment-linked insurance account yields update with trading days. Most data documents are structured tables, containing fields such as unique product identifiers, periodic yield values, effective dates, product type tags, and underwriting subject identifiers. Most field types are string or numeric, with no additional formatting bindings.
What constraints these characteristics impose on deployment and upgrade
The mixed update schedules, multiple data sources, and field differences of insurance yield rate data impose multiple constraints on deployment and upgrade workflows. First, the varying update frequencies of different product types require that scheduled scheduling tasks be configured separately by product type during deployment. Full replacement of scheduling logic via a unified script is not possible during upgrades. Validation must be conducted separately for daily, monthly, and other update cycles. Second, the need to integrate multiple data sources requires that old data source compatible configurations be retained during upgrades, to avoid interruptions to historical data pulling. Additionally, differences in field naming across disclosure channels require flexible field mapping rules to be configured during deployment. If mapping logic is adjusted during upgrades, the correctness of field parsing for all products must be verified synchronously.
How to Set the Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
SCHEDULE_CRON_EXPR | Split configuration by product type: set 0 0 * * * for universal life insurance, set 0 0 1 * * for participating life insurance | Matches the update frequencies of different product types, avoids resource waste or data delays caused by unified scheduling |
FIELD_MAPPING_CONFIG | Preset mapping rules per underwriting company, for example, map the "annualized yield" field on disclosure pages to product_yield | Resolves field naming differences across disclosure channels, ensures standardized data parsing |
MAX_PARSE_CONCURRENCY | 20–30 concurrent requests | Balances data pulling speed and server load, avoids triggering rate limits on third-party disclosure interfaces |
FRONTEND_SERVICE_URL | For versions v4.8.11 and above, set to http://{frontend service domain}:{port} | Adapts to interface call requirements of new versions, avoids response code deserialization failures |
DOCKER_COMPOSE_EXTRA_HOSTS | Set to ["raw.githubusercontent.com:185.199.108.153"] | Accelerates pulling of official configuration files, resolves slow image or configuration download issues |
REPLICA_COUNT | 1–3 replicas | Supports parallel data processing, improves knowledge base indexing speed |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material formats, data volumes, and business rules. Specific issues require case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Issue: After deployment on versions v4.8.11 and above, calling the reply interface returns field deserialization failure, with the error
invalid type for field 'frontend_addr'in logs. Cause: TheFRONTEND_SERVICE_URLparameter was not configured in docker-compose.yaml. The new version relies on this address for interface route verification. - Issue: After configuring multi-replica deployment, knowledge base indexing speed does not improve, and even data duplication occurs. Cause: No data source deduplication rules were configured. Multiple replicas pulling the same data source simultaneously leads to duplicate parsing.
- Issue: Numerous timeout errors occur when pulling insurance yield rate data, with logs showing
request timeout after 60s. Cause: TheMAX_PARSE_CONCURRENCYparameter was not adjusted. Excessive concurrent requests trigger rate limits on third-party disclosure interfaces, leading to request timeouts.
How to Verify Correct Configuration
- Run the preset scheduled scheduling tasks, check if insurance yield rate data for the corresponding cycle was successfully pulled, and verify that the pulled data fields match the preset mapping rules.
- Check service runtime logs, confirm there are no deserialization errors related to
frontend_addr, to verify that theFRONTEND_SERVICE_URLconfiguration is effective. - Start multi-replica deployment mode, check that no duplicate data is pulled from data sources, to confirm that deduplication rules are configured correctly.
- Adjust the concurrency parameter, observe the request response status of third-party disclosure interfaces, and confirm that rate limit-related errors are not triggered.
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.