What the data for this category looks like
For computer equipment deployed in financial scenarios used for yield and market daily report broadcasting, data sources are mainly official exchange market interfaces and compliant third-party financial data service APIs. Update rhythm matches corresponding market trading hours: high-frequency pushes during trading hours, on-demand synchronization outside trading hours. Documents use standardized structured JSON format, containing device unique identifier, data collection timestamp, underlying asset code, yield change value, market snapshot field. Field units follow these rules: yield change value is floating-point type, timestamp uses standard Unix format, underlying asset code is string format, market snapshot is a nested JSON object.
What constraints these characteristics impose on the "HTTP Interfaces and External Systems" link
Data sources cover official exchange interfaces and third-party financial data services. HTTP interfaces must support multi-source address switching and adaptation to signature authentication rules of different service providers. The high-frequency update feature during trading hours requires configuring request rate limiting and timeout retry mechanisms to avoid overwhelming device interfaces with high-frequency calls. Structured JSON documents with multiple fields require defining strict input and output parameter verification rules to filter invalid requests and abnormal fields. The low-frequency update feature outside trading hours requires configuring a local caching strategy to reduce repeated call frequency of external systems and adapt to the computing power load limits of the equipment.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
external_api_timeout | 30 seconds | Matches the timeliness requirements of financial market data, balancing latency and data acquisition success rate |
request_rate_limit | 100 requests per minute | Adapts to the concurrent carrying capacity of computer equipment interfaces, avoiding exceeding hardware load |
response_schema_validate | Enable strict validation | Filters abnormal fields in structured JSON data, ensuring the accuracy of broadcast data |
cache_expire_time | 5 seconds (trading hours), 300 seconds (non-trading hours) | Matches update frequencies across different time periods, balancing data timeliness and interface load |
auth_sign_type | Configured per data source | Adapts to authentication rules of different service providers, such as API key signature, OAuth2 authentication |
retry_max_times | 2 retries | Avoids overloading device interfaces from repeated calls, ensuring stability of data acquisition |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three common mistakes
- Symptom: Interface call returns 403 Forbidden status code. Cause: Authentication key or signature rules for the computer equipment interface are not configured correctly, resulting in access denial from the data source.
- Symptom: External interfaces cannot be accessed after deployment update, and corresponding broadcast tasks fail. Cause: External interface address configuration is not updated synchronously, or port mapping is not correctly bound after container restart.
- Symptom: Test interface returns 404 Not Found error. Cause: Interface path configuration is incorrect, or the HTTP service of the computer equipment has not started the corresponding interface endpoint.
How to confirm the configuration is complete
- Run the built-in external interface test function of FastGPT, check whether the returned JSON fields match the preset verification rules.
- View the running logs of the deployed container, confirm there are no records of interface timeouts, authentication exceptions or data format errors.
- Simulate business scenarios to initiate multiple calls, check whether the interface response status is stable.
- Adjust the cache configuration, verify whether the interface call frequency meets the preset load requirements across different time periods.
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.