What this category of data looks like
Rural commercial bank research report data primarily originates from internal credit risk control systems, public documents issued by local financial regulatory authorities, county-level agricultural-related industry research, and regional economic reports from partner institutions. Update cycles align with internal business cycles: core research reports are updated monthly, while in-depth analysis reports are updated quarterly. Document structure includes report identifier, publishing entity, covered administrative region, core business data, risk warnings, and optimization suggestions. Fields include report ID, release date, covered county code, agricultural-related loan scale (unit: yuan), number of small and micro enterprise credit households (unit: households). There is no unified national standardized format template.
Constraints for HTTP Interfaces and External Systems
Decentralized data sources requiring cross-system integration mean HTTP interfaces must support multi-source authentication configuration. Localized focus on county-level business requires interfaces to use administrative region codes as core query parameters. Fixed data update cycles require caching strategies to match update frequencies, to avoid returning outdated content. Wide variation in document lengths requires interfaces to support pagination or segmented fetching to optimize transmission efficiency. Field units must strictly match data source definitions, so returned interface fields must include clear unit descriptions.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
api_auth_type | Configure multi-source authentication mode | Rural commercial bank research report data comes from internal credit systems and external public data sources, requiring adaptation to API key and OAuth2.0 authentication rules respectively |
cache_expire_seconds | 2592000 seconds | Core research report data is updated monthly; cache period matches update frequency to avoid returning outdated content |
query_region_code | Required, format: 6-digit administrative region code | Rural commercial bank research reports focus on county-level business, requiring precise filtering of corresponding data by administrative region |
response_include_fields | Select report ID, release date, covered region, core business indicators | Aligns with actual rural commercial bank needs, only returns necessary fields to reduce interface transmission load |
api_timeout | 600 seconds | Multi-source data fetching requires aggregating internal system and external interface data; reserve sufficient timeout to prevent request interruption |
pagination_switch | Enable pagination functionality | Wide variation in research report document lengths; paginated returns optimize interface response efficiency and calling experience |
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. Specific issues require targeted analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: AI cannot extract valid research report content. Cause: The fields returned by the interface do not include the core business data required by AI, and
response_include_fieldsis not configured to select the correct return items. - Phenomenon: The interface returns
504 Gateway Timeout. Cause:api_timeoutis set to an excessively short value, which does not match the time required for multi-source data aggregation. - Phenomenon: Different API requests share global variables, leading to data confusion. Cause: Session-level variables are not used to isolate configurations, causing memory variables across requests to interfere with each other, a common issue related to global variable lifecycle confusion.
How to Verify Successful Configuration
- Call the configured HTTP interface, pass the 6-digit administrative region code of the corresponding county, and check if the returned fields include the preset core business indicators.
- Simulate multiple concurrent API requests to verify that session-level variables are not tampered with by other requests.
- View interface logs to confirm that the authentication process completed normally, with no authentication failure related errors.
- Manually update research report content in the data source, wait for the cache to expire, then call the interface again to confirm that the returned content has been synchronized and updated.
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.