What This Type of Data Looks Like
Product consultation data is sourced from internal enterprise product management systems and regulatory filing archive documents. Updates are triggered when product terms, sales rules are adjusted, or new filings are completed. No fixed update cycle exists. The document structure of a single consultation data entry includes these fields: product unique identifier, full product name, product category, risk level identifier, investment term label, sales threshold description, and earnings description. Field and unit rules follow these requirements: Product unique identifier is a string data type. Risk level identifier is an enumeration value from R1 to R5. Investment term labels use "natural days" or "natural years" as units. Sales threshold descriptions use "yuan" as the unit. Earnings descriptions use text format.
What Constraints These Characteristics Impose on HTTP Interfaces and External Systems
Data relies on internal private systems and filing documents. HTTP interfaces must support integration with internally deployed enterprise product management APIs. Enterprise-level authentication mechanisms must be used to ensure compliance of data access. Updates have no fixed cycle. Interface caching strategies must adapt to dynamic update scenarios. Do not set overly long cache validity periods, to avoid returning expired product information. Fields include enumerated risk levels, unit-labeled terms and sales thresholds. Interface returned fields must strictly align with the parsing rules of the calling party. Otherwise, front-end display or business logic errors may occur. Product consultation data involves financial compliance information. Interfaces must support returning version identifiers for data, to allow calling parties to verify filing validity.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
external_product_api_url | Standardized API endpoint of the enterprise internal product management system | Used to pull unified product consultation data sources, ensuring data consistency |
api_auth_type | api_key | Adapts to authentication standards for most enterprise internal APIs, ensuring data access security |
product_data_cache_ttl | 300 seconds | Balances data timeliness and interface call frequency, adapting to the non-fixed update rhythm of products |
required_product_fields | product_id, product_name, risk_level, term, sales_threshold | Covers core display fields for product consultations, preventing missing parsing for calling parties |
request_timeout | 10 seconds | Adapts to the conventional response rhythm of financial interfaces, avoiding consultation interruptions caused by timeouts |
ssl_verify_mode | strict, adjust to insecure if using self-signed certificates | Ensures encrypted security of interface communication, adapting to certificate requirements for different deployment environments |
The parameter values provided on this page are all conventional recommendations, used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: An
SSL_ERROR_SSLerror or connection timeout is returned when calling the external product interface. Cause: Thessl_verify_modeconfiguration is not adjusted to match internal self-signed certificates, or the certificate verification step is not skipped. - Symptom: Missing fields are returned after calling the product interface in a workflow, resulting in blank display on the consultation page. Cause: Not all fields required by the calling party are configured in
required_product_fields, and the interface returned data does not cover parsing dependencies. - Symptom: A timeout prompt is triggered with delayed product consultation results. Cause: The
request_timeoutconfiguration is too short, or the internal product interface responds slowly without adaptive adjustments.
How to Confirm Successful Configuration
- Use the built-in FastGPT interface debugging tool, pass a test product ID, and check if the returned fields fully match the configured
required_product_fields. - Simulate an enterprise internal product data update scenario, trigger data refresh, and check if the latest product information returned by the interface is synchronized to consultation results.
- View interface call logs, confirm that authentication parameters are correctly carried, and there are no
401 Unauthorizederrors. - Adjust
ssl_verify_modetoinsecure, then call the interface to verify that connections work normally in self-signed certificate scenarios.
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.